3D Printing for the Development of Palatal Defect Prosthetics

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Three-dimensional (3D) printing has become a promising area of innovation in biomedical research.1,2 Previous research in orthopedic surgery has found that customized 3D printed implants, casts, orthoses, and prosthetics (eg, prosthetic hands) matched to an individual’s unique anatomy can result in more precise placement and better surgical outcomes.3-5 Customized prosthetics have also been found to lead to fewer complications.3,6

Recent advances in 3D printing technology has prompted investigation from surgeons to identify how this new tool may be incorporated into patient care.1,7 One of the most common applications of 3D printing is during preoperative planning in which surgeons gain better insight into patient-specific anatomy by using patient-specific printed models.8 Another promising application is the production of customized prosthetics suited to each patient’s unique anatomy.9 As a result, 3D printing has significantly impacted bone and cartilage restoration procedures and has the potential to completely transform the treatment of patients with debilitating musculoskeletal injuries.3,10

The potential surrounding 3D printed prosthetics has led to their adoption by several other specialties, including otolaryngology.11 The most widely used application of 3D printing among otolaryngologists is preoperative planning, and the incorporation of printed prosthetics intoreconstruction of the orbit, nasal septum, auricle, and palate has also been reported.2,12,13 Patient-specific implants might allow otolaryngologists to better rehabilitate, reconstruct, and/or regenerate craniofacial defects using more humane procedures.14

Patients with palatomaxillary cancers are treated by prosthodontists or otolaryngologists. An impression is made with a resin–which can be painful for postoperative patients–and a prosthetic is manufactured and implanted.15-17 Patients with cancer often see many specialists, though reconstructive care is a low priority. Many of these individuals also experience dynamic anatomic functional changes over time, leading to the need for multiple prothesis.

palatomaxillary prosthetics

This program aims to use patients’ previous computed tomography (CT) to tailor customized 3D printed palatomaxillary prosthetics to specifically fit their anatomy. Palatomaxillary defects are a source of profound disability for patients with head and neck cancers who are left with large anatomic defects as a direct result of treatment. Reconstruction of palatal defects poses unique challenges due to the complexity of patient anatomy.18,19

3D printed prosthetics for palatomaxillary defects have not been incorporated into patient care. We reviewed previous imaging research to determine if it could be used to assist patients who struggle with their function and appearance following treatment for head and neck cancers. The primary aim was to investigate whether 3D printing was a feasible strategy for creating patient-specific palatomaxillary prosthetics. The secondary aim is to determine whether these prosthetics should be tested in the future for use in reconstruction of maxillary defects.

 

 

Data Acquisition

This study was conducted at the Veterans Affairs Palo Alto Health Care System (VAPAHCS) and was approved by the Stanford University Institutional Review Board (approval #28958, informed consent and patient contact excluded). A retrospective chart review was conducted on all patients with head and neck cancers who were treated at VAPAHCS from 2010 to 2022. Patients aged ≥ 18 years who had a palatomaxillary defect due to cancer treatment, had undergone a palatal resection, and who received treatment at any point from 2010 to 2022 were included in the review. CTs were not a specific inclusion criterion, though the quality of the scans was analyzed for eligible patients. Younger patients and those treated at VAPAHCS prior to 2010 were excluded.

There was no control group; all data was sourced from the US Department of Veterans Affairs (VA) imaging system database. Among the 3595 patients reviewed, 5 met inclusion criteria and the quality of their craniofacial anatomy CTs were analyzed. To maintain accurate craniofacial 3D modeling, CTs require a maximum of 1 mm slice thickness. Of the 5 patients who met the inclusion criteria, 4 were found to have variability in the quality of their CTs and severe defects not suitable for prosthetic reconstruction, which led to their exclusion from the study. One patient was investigated to demonstrate if making these prostheses was feasible. This patient was diagnosed with a malignant neoplasm of the hard palate, underwent a partial maxillectomy, and a palatal obturator was placed to cover the defect.

The primary data collected was patient identifiers as well as the gross anatomy and dimensions of the patients’ craniofacial anatomy, as seen in previous imaging research.20 Before the imaging analysis, all personal health information was removed and the dataset was deidentified to ensure patient anonymity and noninvolvement.

CT Segmentation and 3D Printing

Using CTs of the patient’s craniofacial anatomy, we developed a model of the defects. This was achieved with deidentified CTs imported into the Food and Drug Administration (FDA)-approved computerized aid design (CAD) software, Materialise Mimics. The hard palate was segmented and isolated based off the presented scan and any holes in the image were filled using the CAD software. The model was subsequently mirrored in Materialise 3-matic to replicate an original anatomical hard palate prosthesis. The final product was converted into a 3D model and imported into Formlabs preform software to generate 3D printing supports and orient it for printing. The prosthetic was printed using FDA-approved Biocompatible Denture Base Resin by a Formlabs 3B+ printer at the Palo Alto VA Simulation Center. The 3D printed prosthesis was washed using Formlabs Form Wash 80% ethyl alcohol to remove excess resin and subsequently cured to harden the malleable resin. Supports were later removed, and the prosthesis was sanded.

figure.png

The primary aim of this study was to investigate whether using CTs to create patient-specific prosthetic renderings for patients with head and neck cancer could be a feasible strategy. The CTs from the patient were successfully used to generate a 3D printed prosthesis, and the prosthesis matched the original craniofacial anatomy seen in the patient's imaging (Figure). These results demonstrate that high quality CTs can be used as a template for 3D printed prostheses for mild to moderate palatomaxillary defects.

3D Printing Costs

One liter of Denture Base Resin costs $299; prostheses use about 5 mL of resin. The average annual salary of a 3D printing technician in the United States is $42,717, or $20.54 per hour.21 For an experienced 3D printing technician, the time required to segment the hard palate and prepare it for 3D printing is 1 to 2 hours. The process may exceed 2 hours if the technician is presented with a lower quality CT or if the patient has a complex craniofacial anatomy.

The average time it takes to print a palatal prosthetic is 5 hours. An additional hour is needed for postprocessing, which includes washing and sanding. Therefore, the cost of the materials and labor for an average 3D printed prosthetic is about $150. A Formlabs 3B+ printer is competitively priced around $10,000. The cost for Materialise Mimics software varies, but is estimated at $16,000 at VAPAHCS. The prices for these 2 items are not included in our price estimation but should be taken into consideration.

Prosthodontist Process and Cost

The typical process of creating a palatal prosthesis by a prosthodontist begins by examining the patient, creating a stone model, then creating a wax model. Biocompatible materials are selected and processed into a mold that is trimmed and polished to the desired shape. This is followed by another patient visit to ensure the prosthesis fits properly. Follow-up care is also necessary for maintenance and comfort.

The average cost of a palatal prosthesis varies depending on the type needed (ie, metal implant, teeth replacement), the materials used, the region in which the patient is receiving care, and the complexity of the case. For complex and customizable options like those required for patients with cancer, the prostheses typically cost several thousands of dollars. The Healthcare Common Procedure Coding System code for a palatal lift prosthesis (D5955) lists prices ranging from $4000 to $8000 per prosthetic, not including the cost of the prosthodontist visits.22,23

 

 

Discussion

This program sought to determine whether imaging studies of maxillary defects are effective templates for developing 3D printed prosthetics and whether these prosthetics should be tested for future use in reconstruction of palatomaxillary defects. Our program illustrated that CTs served as feasible templates for developing hard palate prostheses for patients with palatomaxillary defects. It is important to note the CTs used were from a newer and more modern scanner and therefore yielded detailed palatal structures with higher accuracy more suitable for 3D modeling. Lower-quality CTs from the 4 patients excluded from the program were not suitable for 3D modeling. This suggests that with high-quality imaging, 3D printed prosthesis may be a viable strategy to help patients who struggle with their function following treatment for head and neck cancers.

3D printed prosthesis may also be a more patient centered and convenient option. In the traditional prosthesis creation workflow, the patient must physically bite down onto a resin (alginate or silicone) to make an impression, a very painful postoperative process that is irritating to the raw edges of the surgical bed.15,16 Prosthodontists then create a prosthetic minus the tumor and typically secure it with clips or glue.17 Many patients also experience changes in their anatomy over time requiring them to have a new protheses created. This is particularly important in veterans with palatomaxillary defects since many VA medical centers do not have a prosthodontist on staff, making accessibility to these specialists difficult. 3D printing provides a contactless prosthetic creation process. This convenience may reduce a patient’s pain and the number of visits for which they need a specialist.

Future Directions

Additional research is needed to determine the full potential of 3D printed prosthetics. 3D printed prostheses have been effectively used for patient education in areas of presurgical planning, prosthesis creation, and trainee education.24 This research represents an early step in the development of a new technology for use in otolaryngology. Specifically, many veterans with a history of head and neck cancers have sustained changes to their craniofacial anatomy following treatment. Using imaging to create 3D printed prosthetics could be very effective for these patients. Prosthetics could improve a patient’s quality of life by restoring/approximating their anatomy after cancer treatment.

Significant time and care must be taken by cancer and reconstructive surgeons to properly fit a prosthesis. Improperly fitting prosthetics leads to mucosal ulceration that then may lead to a need for fitting a new prosthetic. The advantage of 3D printed prosthetics is that they may more precisely fit the anatomy of each patient using CT results, thus potentially reducing the time needed to fit the prosthetic as well as the risk associated with an improperly fit prosthetic. 3D printed prosthesis could be used directly in the future, however, clinical trials are needed to verify its efficacy vs prosthodontic options.

Another consideration for potential future use of 3D printed prosthetics is cost. We estimated that the cost of the materials and labor of our 3D printed prosthetic to be about $150. Pricing of current molded prosthetics varies, but is often listed at several thousand dollars. Another consideration is the durability of 3D printed prosthetics vs standard prosthetics. Since we were unable to use the prosthetic in the patient, it was difficult to determine its durability. The significant cost of the 3D printer and software necessary for 3D printed prosthetics must also be considered and may be prohibitive. While many academic hospitals are considering the purchase of 3D printers and licenses, this may be challenging for resource-constrained institutions. 3D printing may also be difficult for groups without any prior experience in the field. Outsourcing to a third party is possible, though doing so adds more cost to the project. While we recognize there is a learning curve associated with adopting any new technology, it’s equally important to note that 3D printing is being rapidly integrated and has already made significant advancements in personalized medicine.8,25,26

Limitations

This program had several limitations. First, we only obtained CTs of sufficient quality from 1 patient to generate a 3D printed prosthesis. Further research with additional patients is necessary to validate this process. Second, we were unable to trial the prosthesis in the patient because we did not have FDA approval. Additionally, it is difficult to calculate a true cost estimate for this process as materials and software costs vary dramatically across institutions as well as over time.

Conclusions

The purpose of this study was to demonstrate the possibility to develop prosthetics for the hard palate for patients suffering from palatomaxillary defects. A 3D printed prosthetic was generated that matched the patient’s craniofacial anatomy. Future research should test the feasibility of these prosthetics in patient care against a traditional prosthodontic impression. Though this is a proof-of-concept study and no prosthetics were implanted as part of this investigation, we showcase the feasibility of printing prosthetics for palatomaxillary defects. The use of 3D printed prosthetics may be a more humane process, potentially lower cost, and be more accessible to veterans.

References

1. Crafts TD, Ellsperman SE, Wannemuehler TJ, Bellicchi TD, Shipchandler TZ, Mantravadi AV. Three-dimensional printing and its applications in otorhinolaryngology-head and neck surgery. Otolaryngol Head Neck Surg. 2017;156(6):999-1010. doi:10.1177/0194599816678372

2. Virani FR, Chua EC, Timbang MR, Hsieh TY, Senders CW. Three-dimensional printing in cleft care: a systematic review. Cleft Palate Craniofac J. 2022;59(4):484-496. doi:10.1177/10556656211013175

3. Lal H, Patralekh MK. 3D printing and its applications in orthopaedic trauma: A technological marvel. J Clin Orthop Trauma. 2018;9(3):260-268. doi:10.1016/j.jcot.2018.07.022

4. Vujaklija I, Farina D. 3D printed upper limb prosthetics. Expert Rev Med Devices. 2018;15(7):505-512. doi:10.1080/17434440.2018.1494568

5. Ten Kate J, Smit G, Breedveld P. 3D-printed upper limb prostheses: a review. Disabil Rehabil Assist Technol. 2017;12(3):300-314. doi:10.1080/17483107.2016.1253117

6. Thomas CN, Mavrommatis S, Schroder LK, Cole PA. An overview of 3D printing and the orthopaedic application of patient-specific models in malunion surgery. Injury. 2022;53(3):977-983. doi:10.1016/j.injury.2021.11.019

7. Colaco M, Igel DA, Atala A. The potential of 3D printing in urological research and patient care. Nat Rev Urol. 2018;15(4):213-221. doi:10.1038/nrurol.2018.6

8. Meyer-Szary J, Luis MS, Mikulski S, et al. The role of 3D printing in planning complex medical procedures and training of medical professionals-cross-sectional multispecialty review. Int J Environ Res Public Health. 2022;19(6):3331. Published 2022 Mar 11. doi:10.3390/ijerph19063331

9. Moya D, Gobbato B, Valente S, Roca R. Use of preoperative planning and 3D printing in orthopedics and traumatology: entering a new era. Acta Ortop Mex. 2022;36(1):39-47.

10. Wixted CM, Peterson JR, Kadakia RJ, Adams SB. Three-dimensional printing in orthopaedic surgery: current applications and future developments. J Am Acad Orthop Surg Glob Res Rev. 2021;5(4):e20.00230-11. Published 2021 Apr 20. doi:10.5435/JAAOSGlobal-D-20-00230

11. Hong CJ, Giannopoulos AA, Hong BY, et al. Clinical applications of three-dimensional printing in otolaryngology-head and neck surgery: a systematic review. Laryngoscope. 2019;129(9):2045-2052. doi:10.1002/lary.2783112. Sigron GR, Barba M, Chammartin F, Msallem B, Berg BI, Thieringer FM. Functional and cosmetic outcome after reconstruction of isolated, unilateral orbital floor fractures (blow-out fractures) with and without the support of 3D-printed orbital anatomical models. J Clin Med. 2021;10(16):3509. Published 2021 Aug 9. doi:10.3390/jcm10163509

13. Kimura K, Davis S, Thomas E, et al. 3D Customization for microtia repair in hemifacial microsomia. Laryngoscope. 2022;132(3):545-549. doi:10.1002/lary.29823

14. Nyberg EL, Farris AL, Hung BP, et al. 3D-printing technologies for craniofacial rehabilitation, reconstruction, and regeneration. Ann Biomed Eng. 2017;45(1):45-57. doi:10.1007/s10439-016-1668-5

15. Flores-Ruiz R, Castellanos-Cosano L, Serrera-Figallo MA, et al. Evolution of oral cancer treatment in an andalusian population sample: rehabilitation with prosthetic obturation and removable partial prosthesis. J Clin Exp Dent. 2017;9(8):e1008-e1014. doi:10.4317/jced.54023

16. Rogers SN, Lowe D, McNally D, Brown JS, Vaughan ED. Health-related quality of life after maxillectomy: a comparison between prosthetic obturation and free flap. J Oral Maxillofac Surg. 2003;61(2):174-181. doi:10.1053/joms.2003.50044

17. Pool C, Shokri T, Vincent A, Wang W, Kadakia S, Ducic Y. Prosthetic reconstruction of the maxilla and palate. Semin Plast Surg. 2020;34(2):114-119. doi:10.1055/s-0040-1709143

18. Badhey AK, Khan MN. Palatomaxillary reconstruction: fibula or scapula. Semin Plast Surg. 2020;34(2):86-91. doi:10.1055/s-0040-1709431

19. Jategaonkar AA, Kaul VF, Lee E, Genden EM. Surgery of the palatomaxillary structure. Semin Plast Surg. 2020;34(2):71-76. doi:10.1055/s-0040-1709430

20. Lobb DC, Cottler P, Dart D, Black JS. The use of patient-specific three-dimensional printed surgical models enhances plastic surgery resident education in craniofacial surgery. J Craniofac Surg. 2019;30(2):339-341. doi:10.1097/SCS.0000000000005322

21. 3D printing technician salary in the United States. Accessed February 27, 2024. https://www.salary.com/research/salary/posting/3d-printing-technician-salary22. US Dept of Veterans Affairs. Healthcare Common Procedure Coding System. Outpatient dental professional nationwide charges by HCPCS code. January-December 2020. Accessed February 27, 2024. https://www.va.gov/COMMUNITYCARE/docs/RO/Outpatient-DataTables/v3-27_Table-I.pdf23. Washington State Department of Labor and Industries. Professional services fee schedule HCPCS level II fees. October 1, 2020. Accessed February 27, 2024. https://lni.wa.gov/patient-care/billing-payments/marfsdocs/2020/2020FSHCPCS.pdf24. Low CM, Morris JM, Price DL, et al. Three-dimensional printing: current use in rhinology and endoscopic skull base surgery. Am J Rhinol Allergy. 2019;33(6):770-781. doi:10.1177/1945892419866319

25. Aimar A, Palermo A, Innocenti B. The role of 3D printing in medical applications: a state of the art. J Healthc Eng. 2019;2019:5340616. Published 2019 Mar 21. doi:10.1155/2019/5340616

26. Garcia J, Yang Z, Mongrain R, Leask RL, Lachapelle K. 3D printing materials and their use in medical education: a review of current technology and trends for the future. BMJ Simul Technol Enhanc Learn. 2018;4(1):27-40. doi:10.1136/bmjstel-2017-000234

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Christian Calderona,b; Autreen Golzara,b; Stephen Marcott, MDa,b; Kyle Giffordc; Sandy Napel, PhDc; Dominik Fleischmann, MDc; Fred M. Baik, MDa,b; Thomas F. Osborne, MDa,b; Andrey Finegersh, MD, PhDa,b; Davud Sirjani, MDa,b

Correspondence:  Davud Sirjani  (dsirjani@stanford.edu)

aStanford University School of Medicine, California

bVeterans Affairs Palo Alto Health Care System, California

c3D and Quantitative Imaging Laboratory, Stanford, California

Author disclosures

Sandy Napel receives honoraria from Fovia, Inc. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of the Federal Practitioner, Frontline Medical Communications, Inc., the US Government, or any of its agencies.

Ethics and consent

This study was reviewed and approved by the Stanford University Institutional Review Board (approval No. 28958).

Funding/Support

This study was funded by the Stanford University School of Medicine Department of Otolaryngology-Head and Neck Surgery. Collection, management, analysis, and interpretation of data was completed at the Veterans Affairs Palo Alto Health Care System, using innovation funds to purchase a 3D printer for the division of otolaryngology.

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Christian Calderona,b; Autreen Golzara,b; Stephen Marcott, MDa,b; Kyle Giffordc; Sandy Napel, PhDc; Dominik Fleischmann, MDc; Fred M. Baik, MDa,b; Thomas F. Osborne, MDa,b; Andrey Finegersh, MD, PhDa,b; Davud Sirjani, MDa,b

Correspondence:  Davud Sirjani  (dsirjani@stanford.edu)

aStanford University School of Medicine, California

bVeterans Affairs Palo Alto Health Care System, California

c3D and Quantitative Imaging Laboratory, Stanford, California

Author disclosures

Sandy Napel receives honoraria from Fovia, Inc. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of the Federal Practitioner, Frontline Medical Communications, Inc., the US Government, or any of its agencies.

Ethics and consent

This study was reviewed and approved by the Stanford University Institutional Review Board (approval No. 28958).

Funding/Support

This study was funded by the Stanford University School of Medicine Department of Otolaryngology-Head and Neck Surgery. Collection, management, analysis, and interpretation of data was completed at the Veterans Affairs Palo Alto Health Care System, using innovation funds to purchase a 3D printer for the division of otolaryngology.

Author and Disclosure Information

Christian Calderona,b; Autreen Golzara,b; Stephen Marcott, MDa,b; Kyle Giffordc; Sandy Napel, PhDc; Dominik Fleischmann, MDc; Fred M. Baik, MDa,b; Thomas F. Osborne, MDa,b; Andrey Finegersh, MD, PhDa,b; Davud Sirjani, MDa,b

Correspondence:  Davud Sirjani  (dsirjani@stanford.edu)

aStanford University School of Medicine, California

bVeterans Affairs Palo Alto Health Care System, California

c3D and Quantitative Imaging Laboratory, Stanford, California

Author disclosures

Sandy Napel receives honoraria from Fovia, Inc. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of the Federal Practitioner, Frontline Medical Communications, Inc., the US Government, or any of its agencies.

Ethics and consent

This study was reviewed and approved by the Stanford University Institutional Review Board (approval No. 28958).

Funding/Support

This study was funded by the Stanford University School of Medicine Department of Otolaryngology-Head and Neck Surgery. Collection, management, analysis, and interpretation of data was completed at the Veterans Affairs Palo Alto Health Care System, using innovation funds to purchase a 3D printer for the division of otolaryngology.

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Article PDF

Three-dimensional (3D) printing has become a promising area of innovation in biomedical research.1,2 Previous research in orthopedic surgery has found that customized 3D printed implants, casts, orthoses, and prosthetics (eg, prosthetic hands) matched to an individual’s unique anatomy can result in more precise placement and better surgical outcomes.3-5 Customized prosthetics have also been found to lead to fewer complications.3,6

Recent advances in 3D printing technology has prompted investigation from surgeons to identify how this new tool may be incorporated into patient care.1,7 One of the most common applications of 3D printing is during preoperative planning in which surgeons gain better insight into patient-specific anatomy by using patient-specific printed models.8 Another promising application is the production of customized prosthetics suited to each patient’s unique anatomy.9 As a result, 3D printing has significantly impacted bone and cartilage restoration procedures and has the potential to completely transform the treatment of patients with debilitating musculoskeletal injuries.3,10

The potential surrounding 3D printed prosthetics has led to their adoption by several other specialties, including otolaryngology.11 The most widely used application of 3D printing among otolaryngologists is preoperative planning, and the incorporation of printed prosthetics intoreconstruction of the orbit, nasal septum, auricle, and palate has also been reported.2,12,13 Patient-specific implants might allow otolaryngologists to better rehabilitate, reconstruct, and/or regenerate craniofacial defects using more humane procedures.14

Patients with palatomaxillary cancers are treated by prosthodontists or otolaryngologists. An impression is made with a resin–which can be painful for postoperative patients–and a prosthetic is manufactured and implanted.15-17 Patients with cancer often see many specialists, though reconstructive care is a low priority. Many of these individuals also experience dynamic anatomic functional changes over time, leading to the need for multiple prothesis.

palatomaxillary prosthetics

This program aims to use patients’ previous computed tomography (CT) to tailor customized 3D printed palatomaxillary prosthetics to specifically fit their anatomy. Palatomaxillary defects are a source of profound disability for patients with head and neck cancers who are left with large anatomic defects as a direct result of treatment. Reconstruction of palatal defects poses unique challenges due to the complexity of patient anatomy.18,19

3D printed prosthetics for palatomaxillary defects have not been incorporated into patient care. We reviewed previous imaging research to determine if it could be used to assist patients who struggle with their function and appearance following treatment for head and neck cancers. The primary aim was to investigate whether 3D printing was a feasible strategy for creating patient-specific palatomaxillary prosthetics. The secondary aim is to determine whether these prosthetics should be tested in the future for use in reconstruction of maxillary defects.

 

 

Data Acquisition

This study was conducted at the Veterans Affairs Palo Alto Health Care System (VAPAHCS) and was approved by the Stanford University Institutional Review Board (approval #28958, informed consent and patient contact excluded). A retrospective chart review was conducted on all patients with head and neck cancers who were treated at VAPAHCS from 2010 to 2022. Patients aged ≥ 18 years who had a palatomaxillary defect due to cancer treatment, had undergone a palatal resection, and who received treatment at any point from 2010 to 2022 were included in the review. CTs were not a specific inclusion criterion, though the quality of the scans was analyzed for eligible patients. Younger patients and those treated at VAPAHCS prior to 2010 were excluded.

There was no control group; all data was sourced from the US Department of Veterans Affairs (VA) imaging system database. Among the 3595 patients reviewed, 5 met inclusion criteria and the quality of their craniofacial anatomy CTs were analyzed. To maintain accurate craniofacial 3D modeling, CTs require a maximum of 1 mm slice thickness. Of the 5 patients who met the inclusion criteria, 4 were found to have variability in the quality of their CTs and severe defects not suitable for prosthetic reconstruction, which led to their exclusion from the study. One patient was investigated to demonstrate if making these prostheses was feasible. This patient was diagnosed with a malignant neoplasm of the hard palate, underwent a partial maxillectomy, and a palatal obturator was placed to cover the defect.

The primary data collected was patient identifiers as well as the gross anatomy and dimensions of the patients’ craniofacial anatomy, as seen in previous imaging research.20 Before the imaging analysis, all personal health information was removed and the dataset was deidentified to ensure patient anonymity and noninvolvement.

CT Segmentation and 3D Printing

Using CTs of the patient’s craniofacial anatomy, we developed a model of the defects. This was achieved with deidentified CTs imported into the Food and Drug Administration (FDA)-approved computerized aid design (CAD) software, Materialise Mimics. The hard palate was segmented and isolated based off the presented scan and any holes in the image were filled using the CAD software. The model was subsequently mirrored in Materialise 3-matic to replicate an original anatomical hard palate prosthesis. The final product was converted into a 3D model and imported into Formlabs preform software to generate 3D printing supports and orient it for printing. The prosthetic was printed using FDA-approved Biocompatible Denture Base Resin by a Formlabs 3B+ printer at the Palo Alto VA Simulation Center. The 3D printed prosthesis was washed using Formlabs Form Wash 80% ethyl alcohol to remove excess resin and subsequently cured to harden the malleable resin. Supports were later removed, and the prosthesis was sanded.

figure.png

The primary aim of this study was to investigate whether using CTs to create patient-specific prosthetic renderings for patients with head and neck cancer could be a feasible strategy. The CTs from the patient were successfully used to generate a 3D printed prosthesis, and the prosthesis matched the original craniofacial anatomy seen in the patient's imaging (Figure). These results demonstrate that high quality CTs can be used as a template for 3D printed prostheses for mild to moderate palatomaxillary defects.

3D Printing Costs

One liter of Denture Base Resin costs $299; prostheses use about 5 mL of resin. The average annual salary of a 3D printing technician in the United States is $42,717, or $20.54 per hour.21 For an experienced 3D printing technician, the time required to segment the hard palate and prepare it for 3D printing is 1 to 2 hours. The process may exceed 2 hours if the technician is presented with a lower quality CT or if the patient has a complex craniofacial anatomy.

The average time it takes to print a palatal prosthetic is 5 hours. An additional hour is needed for postprocessing, which includes washing and sanding. Therefore, the cost of the materials and labor for an average 3D printed prosthetic is about $150. A Formlabs 3B+ printer is competitively priced around $10,000. The cost for Materialise Mimics software varies, but is estimated at $16,000 at VAPAHCS. The prices for these 2 items are not included in our price estimation but should be taken into consideration.

Prosthodontist Process and Cost

The typical process of creating a palatal prosthesis by a prosthodontist begins by examining the patient, creating a stone model, then creating a wax model. Biocompatible materials are selected and processed into a mold that is trimmed and polished to the desired shape. This is followed by another patient visit to ensure the prosthesis fits properly. Follow-up care is also necessary for maintenance and comfort.

The average cost of a palatal prosthesis varies depending on the type needed (ie, metal implant, teeth replacement), the materials used, the region in which the patient is receiving care, and the complexity of the case. For complex and customizable options like those required for patients with cancer, the prostheses typically cost several thousands of dollars. The Healthcare Common Procedure Coding System code for a palatal lift prosthesis (D5955) lists prices ranging from $4000 to $8000 per prosthetic, not including the cost of the prosthodontist visits.22,23

 

 

Discussion

This program sought to determine whether imaging studies of maxillary defects are effective templates for developing 3D printed prosthetics and whether these prosthetics should be tested for future use in reconstruction of palatomaxillary defects. Our program illustrated that CTs served as feasible templates for developing hard palate prostheses for patients with palatomaxillary defects. It is important to note the CTs used were from a newer and more modern scanner and therefore yielded detailed palatal structures with higher accuracy more suitable for 3D modeling. Lower-quality CTs from the 4 patients excluded from the program were not suitable for 3D modeling. This suggests that with high-quality imaging, 3D printed prosthesis may be a viable strategy to help patients who struggle with their function following treatment for head and neck cancers.

3D printed prosthesis may also be a more patient centered and convenient option. In the traditional prosthesis creation workflow, the patient must physically bite down onto a resin (alginate or silicone) to make an impression, a very painful postoperative process that is irritating to the raw edges of the surgical bed.15,16 Prosthodontists then create a prosthetic minus the tumor and typically secure it with clips or glue.17 Many patients also experience changes in their anatomy over time requiring them to have a new protheses created. This is particularly important in veterans with palatomaxillary defects since many VA medical centers do not have a prosthodontist on staff, making accessibility to these specialists difficult. 3D printing provides a contactless prosthetic creation process. This convenience may reduce a patient’s pain and the number of visits for which they need a specialist.

Future Directions

Additional research is needed to determine the full potential of 3D printed prosthetics. 3D printed prostheses have been effectively used for patient education in areas of presurgical planning, prosthesis creation, and trainee education.24 This research represents an early step in the development of a new technology for use in otolaryngology. Specifically, many veterans with a history of head and neck cancers have sustained changes to their craniofacial anatomy following treatment. Using imaging to create 3D printed prosthetics could be very effective for these patients. Prosthetics could improve a patient’s quality of life by restoring/approximating their anatomy after cancer treatment.

Significant time and care must be taken by cancer and reconstructive surgeons to properly fit a prosthesis. Improperly fitting prosthetics leads to mucosal ulceration that then may lead to a need for fitting a new prosthetic. The advantage of 3D printed prosthetics is that they may more precisely fit the anatomy of each patient using CT results, thus potentially reducing the time needed to fit the prosthetic as well as the risk associated with an improperly fit prosthetic. 3D printed prosthesis could be used directly in the future, however, clinical trials are needed to verify its efficacy vs prosthodontic options.

Another consideration for potential future use of 3D printed prosthetics is cost. We estimated that the cost of the materials and labor of our 3D printed prosthetic to be about $150. Pricing of current molded prosthetics varies, but is often listed at several thousand dollars. Another consideration is the durability of 3D printed prosthetics vs standard prosthetics. Since we were unable to use the prosthetic in the patient, it was difficult to determine its durability. The significant cost of the 3D printer and software necessary for 3D printed prosthetics must also be considered and may be prohibitive. While many academic hospitals are considering the purchase of 3D printers and licenses, this may be challenging for resource-constrained institutions. 3D printing may also be difficult for groups without any prior experience in the field. Outsourcing to a third party is possible, though doing so adds more cost to the project. While we recognize there is a learning curve associated with adopting any new technology, it’s equally important to note that 3D printing is being rapidly integrated and has already made significant advancements in personalized medicine.8,25,26

Limitations

This program had several limitations. First, we only obtained CTs of sufficient quality from 1 patient to generate a 3D printed prosthesis. Further research with additional patients is necessary to validate this process. Second, we were unable to trial the prosthesis in the patient because we did not have FDA approval. Additionally, it is difficult to calculate a true cost estimate for this process as materials and software costs vary dramatically across institutions as well as over time.

Conclusions

The purpose of this study was to demonstrate the possibility to develop prosthetics for the hard palate for patients suffering from palatomaxillary defects. A 3D printed prosthetic was generated that matched the patient’s craniofacial anatomy. Future research should test the feasibility of these prosthetics in patient care against a traditional prosthodontic impression. Though this is a proof-of-concept study and no prosthetics were implanted as part of this investigation, we showcase the feasibility of printing prosthetics for palatomaxillary defects. The use of 3D printed prosthetics may be a more humane process, potentially lower cost, and be more accessible to veterans.

Three-dimensional (3D) printing has become a promising area of innovation in biomedical research.1,2 Previous research in orthopedic surgery has found that customized 3D printed implants, casts, orthoses, and prosthetics (eg, prosthetic hands) matched to an individual’s unique anatomy can result in more precise placement and better surgical outcomes.3-5 Customized prosthetics have also been found to lead to fewer complications.3,6

Recent advances in 3D printing technology has prompted investigation from surgeons to identify how this new tool may be incorporated into patient care.1,7 One of the most common applications of 3D printing is during preoperative planning in which surgeons gain better insight into patient-specific anatomy by using patient-specific printed models.8 Another promising application is the production of customized prosthetics suited to each patient’s unique anatomy.9 As a result, 3D printing has significantly impacted bone and cartilage restoration procedures and has the potential to completely transform the treatment of patients with debilitating musculoskeletal injuries.3,10

The potential surrounding 3D printed prosthetics has led to their adoption by several other specialties, including otolaryngology.11 The most widely used application of 3D printing among otolaryngologists is preoperative planning, and the incorporation of printed prosthetics intoreconstruction of the orbit, nasal septum, auricle, and palate has also been reported.2,12,13 Patient-specific implants might allow otolaryngologists to better rehabilitate, reconstruct, and/or regenerate craniofacial defects using more humane procedures.14

Patients with palatomaxillary cancers are treated by prosthodontists or otolaryngologists. An impression is made with a resin–which can be painful for postoperative patients–and a prosthetic is manufactured and implanted.15-17 Patients with cancer often see many specialists, though reconstructive care is a low priority. Many of these individuals also experience dynamic anatomic functional changes over time, leading to the need for multiple prothesis.

palatomaxillary prosthetics

This program aims to use patients’ previous computed tomography (CT) to tailor customized 3D printed palatomaxillary prosthetics to specifically fit their anatomy. Palatomaxillary defects are a source of profound disability for patients with head and neck cancers who are left with large anatomic defects as a direct result of treatment. Reconstruction of palatal defects poses unique challenges due to the complexity of patient anatomy.18,19

3D printed prosthetics for palatomaxillary defects have not been incorporated into patient care. We reviewed previous imaging research to determine if it could be used to assist patients who struggle with their function and appearance following treatment for head and neck cancers. The primary aim was to investigate whether 3D printing was a feasible strategy for creating patient-specific palatomaxillary prosthetics. The secondary aim is to determine whether these prosthetics should be tested in the future for use in reconstruction of maxillary defects.

 

 

Data Acquisition

This study was conducted at the Veterans Affairs Palo Alto Health Care System (VAPAHCS) and was approved by the Stanford University Institutional Review Board (approval #28958, informed consent and patient contact excluded). A retrospective chart review was conducted on all patients with head and neck cancers who were treated at VAPAHCS from 2010 to 2022. Patients aged ≥ 18 years who had a palatomaxillary defect due to cancer treatment, had undergone a palatal resection, and who received treatment at any point from 2010 to 2022 were included in the review. CTs were not a specific inclusion criterion, though the quality of the scans was analyzed for eligible patients. Younger patients and those treated at VAPAHCS prior to 2010 were excluded.

There was no control group; all data was sourced from the US Department of Veterans Affairs (VA) imaging system database. Among the 3595 patients reviewed, 5 met inclusion criteria and the quality of their craniofacial anatomy CTs were analyzed. To maintain accurate craniofacial 3D modeling, CTs require a maximum of 1 mm slice thickness. Of the 5 patients who met the inclusion criteria, 4 were found to have variability in the quality of their CTs and severe defects not suitable for prosthetic reconstruction, which led to their exclusion from the study. One patient was investigated to demonstrate if making these prostheses was feasible. This patient was diagnosed with a malignant neoplasm of the hard palate, underwent a partial maxillectomy, and a palatal obturator was placed to cover the defect.

The primary data collected was patient identifiers as well as the gross anatomy and dimensions of the patients’ craniofacial anatomy, as seen in previous imaging research.20 Before the imaging analysis, all personal health information was removed and the dataset was deidentified to ensure patient anonymity and noninvolvement.

CT Segmentation and 3D Printing

Using CTs of the patient’s craniofacial anatomy, we developed a model of the defects. This was achieved with deidentified CTs imported into the Food and Drug Administration (FDA)-approved computerized aid design (CAD) software, Materialise Mimics. The hard palate was segmented and isolated based off the presented scan and any holes in the image were filled using the CAD software. The model was subsequently mirrored in Materialise 3-matic to replicate an original anatomical hard palate prosthesis. The final product was converted into a 3D model and imported into Formlabs preform software to generate 3D printing supports and orient it for printing. The prosthetic was printed using FDA-approved Biocompatible Denture Base Resin by a Formlabs 3B+ printer at the Palo Alto VA Simulation Center. The 3D printed prosthesis was washed using Formlabs Form Wash 80% ethyl alcohol to remove excess resin and subsequently cured to harden the malleable resin. Supports were later removed, and the prosthesis was sanded.

figure.png

The primary aim of this study was to investigate whether using CTs to create patient-specific prosthetic renderings for patients with head and neck cancer could be a feasible strategy. The CTs from the patient were successfully used to generate a 3D printed prosthesis, and the prosthesis matched the original craniofacial anatomy seen in the patient's imaging (Figure). These results demonstrate that high quality CTs can be used as a template for 3D printed prostheses for mild to moderate palatomaxillary defects.

3D Printing Costs

One liter of Denture Base Resin costs $299; prostheses use about 5 mL of resin. The average annual salary of a 3D printing technician in the United States is $42,717, or $20.54 per hour.21 For an experienced 3D printing technician, the time required to segment the hard palate and prepare it for 3D printing is 1 to 2 hours. The process may exceed 2 hours if the technician is presented with a lower quality CT or if the patient has a complex craniofacial anatomy.

The average time it takes to print a palatal prosthetic is 5 hours. An additional hour is needed for postprocessing, which includes washing and sanding. Therefore, the cost of the materials and labor for an average 3D printed prosthetic is about $150. A Formlabs 3B+ printer is competitively priced around $10,000. The cost for Materialise Mimics software varies, but is estimated at $16,000 at VAPAHCS. The prices for these 2 items are not included in our price estimation but should be taken into consideration.

Prosthodontist Process and Cost

The typical process of creating a palatal prosthesis by a prosthodontist begins by examining the patient, creating a stone model, then creating a wax model. Biocompatible materials are selected and processed into a mold that is trimmed and polished to the desired shape. This is followed by another patient visit to ensure the prosthesis fits properly. Follow-up care is also necessary for maintenance and comfort.

The average cost of a palatal prosthesis varies depending on the type needed (ie, metal implant, teeth replacement), the materials used, the region in which the patient is receiving care, and the complexity of the case. For complex and customizable options like those required for patients with cancer, the prostheses typically cost several thousands of dollars. The Healthcare Common Procedure Coding System code for a palatal lift prosthesis (D5955) lists prices ranging from $4000 to $8000 per prosthetic, not including the cost of the prosthodontist visits.22,23

 

 

Discussion

This program sought to determine whether imaging studies of maxillary defects are effective templates for developing 3D printed prosthetics and whether these prosthetics should be tested for future use in reconstruction of palatomaxillary defects. Our program illustrated that CTs served as feasible templates for developing hard palate prostheses for patients with palatomaxillary defects. It is important to note the CTs used were from a newer and more modern scanner and therefore yielded detailed palatal structures with higher accuracy more suitable for 3D modeling. Lower-quality CTs from the 4 patients excluded from the program were not suitable for 3D modeling. This suggests that with high-quality imaging, 3D printed prosthesis may be a viable strategy to help patients who struggle with their function following treatment for head and neck cancers.

3D printed prosthesis may also be a more patient centered and convenient option. In the traditional prosthesis creation workflow, the patient must physically bite down onto a resin (alginate or silicone) to make an impression, a very painful postoperative process that is irritating to the raw edges of the surgical bed.15,16 Prosthodontists then create a prosthetic minus the tumor and typically secure it with clips or glue.17 Many patients also experience changes in their anatomy over time requiring them to have a new protheses created. This is particularly important in veterans with palatomaxillary defects since many VA medical centers do not have a prosthodontist on staff, making accessibility to these specialists difficult. 3D printing provides a contactless prosthetic creation process. This convenience may reduce a patient’s pain and the number of visits for which they need a specialist.

Future Directions

Additional research is needed to determine the full potential of 3D printed prosthetics. 3D printed prostheses have been effectively used for patient education in areas of presurgical planning, prosthesis creation, and trainee education.24 This research represents an early step in the development of a new technology for use in otolaryngology. Specifically, many veterans with a history of head and neck cancers have sustained changes to their craniofacial anatomy following treatment. Using imaging to create 3D printed prosthetics could be very effective for these patients. Prosthetics could improve a patient’s quality of life by restoring/approximating their anatomy after cancer treatment.

Significant time and care must be taken by cancer and reconstructive surgeons to properly fit a prosthesis. Improperly fitting prosthetics leads to mucosal ulceration that then may lead to a need for fitting a new prosthetic. The advantage of 3D printed prosthetics is that they may more precisely fit the anatomy of each patient using CT results, thus potentially reducing the time needed to fit the prosthetic as well as the risk associated with an improperly fit prosthetic. 3D printed prosthesis could be used directly in the future, however, clinical trials are needed to verify its efficacy vs prosthodontic options.

Another consideration for potential future use of 3D printed prosthetics is cost. We estimated that the cost of the materials and labor of our 3D printed prosthetic to be about $150. Pricing of current molded prosthetics varies, but is often listed at several thousand dollars. Another consideration is the durability of 3D printed prosthetics vs standard prosthetics. Since we were unable to use the prosthetic in the patient, it was difficult to determine its durability. The significant cost of the 3D printer and software necessary for 3D printed prosthetics must also be considered and may be prohibitive. While many academic hospitals are considering the purchase of 3D printers and licenses, this may be challenging for resource-constrained institutions. 3D printing may also be difficult for groups without any prior experience in the field. Outsourcing to a third party is possible, though doing so adds more cost to the project. While we recognize there is a learning curve associated with adopting any new technology, it’s equally important to note that 3D printing is being rapidly integrated and has already made significant advancements in personalized medicine.8,25,26

Limitations

This program had several limitations. First, we only obtained CTs of sufficient quality from 1 patient to generate a 3D printed prosthesis. Further research with additional patients is necessary to validate this process. Second, we were unable to trial the prosthesis in the patient because we did not have FDA approval. Additionally, it is difficult to calculate a true cost estimate for this process as materials and software costs vary dramatically across institutions as well as over time.

Conclusions

The purpose of this study was to demonstrate the possibility to develop prosthetics for the hard palate for patients suffering from palatomaxillary defects. A 3D printed prosthetic was generated that matched the patient’s craniofacial anatomy. Future research should test the feasibility of these prosthetics in patient care against a traditional prosthodontic impression. Though this is a proof-of-concept study and no prosthetics were implanted as part of this investigation, we showcase the feasibility of printing prosthetics for palatomaxillary defects. The use of 3D printed prosthetics may be a more humane process, potentially lower cost, and be more accessible to veterans.

References

1. Crafts TD, Ellsperman SE, Wannemuehler TJ, Bellicchi TD, Shipchandler TZ, Mantravadi AV. Three-dimensional printing and its applications in otorhinolaryngology-head and neck surgery. Otolaryngol Head Neck Surg. 2017;156(6):999-1010. doi:10.1177/0194599816678372

2. Virani FR, Chua EC, Timbang MR, Hsieh TY, Senders CW. Three-dimensional printing in cleft care: a systematic review. Cleft Palate Craniofac J. 2022;59(4):484-496. doi:10.1177/10556656211013175

3. Lal H, Patralekh MK. 3D printing and its applications in orthopaedic trauma: A technological marvel. J Clin Orthop Trauma. 2018;9(3):260-268. doi:10.1016/j.jcot.2018.07.022

4. Vujaklija I, Farina D. 3D printed upper limb prosthetics. Expert Rev Med Devices. 2018;15(7):505-512. doi:10.1080/17434440.2018.1494568

5. Ten Kate J, Smit G, Breedveld P. 3D-printed upper limb prostheses: a review. Disabil Rehabil Assist Technol. 2017;12(3):300-314. doi:10.1080/17483107.2016.1253117

6. Thomas CN, Mavrommatis S, Schroder LK, Cole PA. An overview of 3D printing and the orthopaedic application of patient-specific models in malunion surgery. Injury. 2022;53(3):977-983. doi:10.1016/j.injury.2021.11.019

7. Colaco M, Igel DA, Atala A. The potential of 3D printing in urological research and patient care. Nat Rev Urol. 2018;15(4):213-221. doi:10.1038/nrurol.2018.6

8. Meyer-Szary J, Luis MS, Mikulski S, et al. The role of 3D printing in planning complex medical procedures and training of medical professionals-cross-sectional multispecialty review. Int J Environ Res Public Health. 2022;19(6):3331. Published 2022 Mar 11. doi:10.3390/ijerph19063331

9. Moya D, Gobbato B, Valente S, Roca R. Use of preoperative planning and 3D printing in orthopedics and traumatology: entering a new era. Acta Ortop Mex. 2022;36(1):39-47.

10. Wixted CM, Peterson JR, Kadakia RJ, Adams SB. Three-dimensional printing in orthopaedic surgery: current applications and future developments. J Am Acad Orthop Surg Glob Res Rev. 2021;5(4):e20.00230-11. Published 2021 Apr 20. doi:10.5435/JAAOSGlobal-D-20-00230

11. Hong CJ, Giannopoulos AA, Hong BY, et al. Clinical applications of three-dimensional printing in otolaryngology-head and neck surgery: a systematic review. Laryngoscope. 2019;129(9):2045-2052. doi:10.1002/lary.2783112. Sigron GR, Barba M, Chammartin F, Msallem B, Berg BI, Thieringer FM. Functional and cosmetic outcome after reconstruction of isolated, unilateral orbital floor fractures (blow-out fractures) with and without the support of 3D-printed orbital anatomical models. J Clin Med. 2021;10(16):3509. Published 2021 Aug 9. doi:10.3390/jcm10163509

13. Kimura K, Davis S, Thomas E, et al. 3D Customization for microtia repair in hemifacial microsomia. Laryngoscope. 2022;132(3):545-549. doi:10.1002/lary.29823

14. Nyberg EL, Farris AL, Hung BP, et al. 3D-printing technologies for craniofacial rehabilitation, reconstruction, and regeneration. Ann Biomed Eng. 2017;45(1):45-57. doi:10.1007/s10439-016-1668-5

15. Flores-Ruiz R, Castellanos-Cosano L, Serrera-Figallo MA, et al. Evolution of oral cancer treatment in an andalusian population sample: rehabilitation with prosthetic obturation and removable partial prosthesis. J Clin Exp Dent. 2017;9(8):e1008-e1014. doi:10.4317/jced.54023

16. Rogers SN, Lowe D, McNally D, Brown JS, Vaughan ED. Health-related quality of life after maxillectomy: a comparison between prosthetic obturation and free flap. J Oral Maxillofac Surg. 2003;61(2):174-181. doi:10.1053/joms.2003.50044

17. Pool C, Shokri T, Vincent A, Wang W, Kadakia S, Ducic Y. Prosthetic reconstruction of the maxilla and palate. Semin Plast Surg. 2020;34(2):114-119. doi:10.1055/s-0040-1709143

18. Badhey AK, Khan MN. Palatomaxillary reconstruction: fibula or scapula. Semin Plast Surg. 2020;34(2):86-91. doi:10.1055/s-0040-1709431

19. Jategaonkar AA, Kaul VF, Lee E, Genden EM. Surgery of the palatomaxillary structure. Semin Plast Surg. 2020;34(2):71-76. doi:10.1055/s-0040-1709430

20. Lobb DC, Cottler P, Dart D, Black JS. The use of patient-specific three-dimensional printed surgical models enhances plastic surgery resident education in craniofacial surgery. J Craniofac Surg. 2019;30(2):339-341. doi:10.1097/SCS.0000000000005322

21. 3D printing technician salary in the United States. Accessed February 27, 2024. https://www.salary.com/research/salary/posting/3d-printing-technician-salary22. US Dept of Veterans Affairs. Healthcare Common Procedure Coding System. Outpatient dental professional nationwide charges by HCPCS code. January-December 2020. Accessed February 27, 2024. https://www.va.gov/COMMUNITYCARE/docs/RO/Outpatient-DataTables/v3-27_Table-I.pdf23. Washington State Department of Labor and Industries. Professional services fee schedule HCPCS level II fees. October 1, 2020. Accessed February 27, 2024. https://lni.wa.gov/patient-care/billing-payments/marfsdocs/2020/2020FSHCPCS.pdf24. Low CM, Morris JM, Price DL, et al. Three-dimensional printing: current use in rhinology and endoscopic skull base surgery. Am J Rhinol Allergy. 2019;33(6):770-781. doi:10.1177/1945892419866319

25. Aimar A, Palermo A, Innocenti B. The role of 3D printing in medical applications: a state of the art. J Healthc Eng. 2019;2019:5340616. Published 2019 Mar 21. doi:10.1155/2019/5340616

26. Garcia J, Yang Z, Mongrain R, Leask RL, Lachapelle K. 3D printing materials and their use in medical education: a review of current technology and trends for the future. BMJ Simul Technol Enhanc Learn. 2018;4(1):27-40. doi:10.1136/bmjstel-2017-000234

References

1. Crafts TD, Ellsperman SE, Wannemuehler TJ, Bellicchi TD, Shipchandler TZ, Mantravadi AV. Three-dimensional printing and its applications in otorhinolaryngology-head and neck surgery. Otolaryngol Head Neck Surg. 2017;156(6):999-1010. doi:10.1177/0194599816678372

2. Virani FR, Chua EC, Timbang MR, Hsieh TY, Senders CW. Three-dimensional printing in cleft care: a systematic review. Cleft Palate Craniofac J. 2022;59(4):484-496. doi:10.1177/10556656211013175

3. Lal H, Patralekh MK. 3D printing and its applications in orthopaedic trauma: A technological marvel. J Clin Orthop Trauma. 2018;9(3):260-268. doi:10.1016/j.jcot.2018.07.022

4. Vujaklija I, Farina D. 3D printed upper limb prosthetics. Expert Rev Med Devices. 2018;15(7):505-512. doi:10.1080/17434440.2018.1494568

5. Ten Kate J, Smit G, Breedveld P. 3D-printed upper limb prostheses: a review. Disabil Rehabil Assist Technol. 2017;12(3):300-314. doi:10.1080/17483107.2016.1253117

6. Thomas CN, Mavrommatis S, Schroder LK, Cole PA. An overview of 3D printing and the orthopaedic application of patient-specific models in malunion surgery. Injury. 2022;53(3):977-983. doi:10.1016/j.injury.2021.11.019

7. Colaco M, Igel DA, Atala A. The potential of 3D printing in urological research and patient care. Nat Rev Urol. 2018;15(4):213-221. doi:10.1038/nrurol.2018.6

8. Meyer-Szary J, Luis MS, Mikulski S, et al. The role of 3D printing in planning complex medical procedures and training of medical professionals-cross-sectional multispecialty review. Int J Environ Res Public Health. 2022;19(6):3331. Published 2022 Mar 11. doi:10.3390/ijerph19063331

9. Moya D, Gobbato B, Valente S, Roca R. Use of preoperative planning and 3D printing in orthopedics and traumatology: entering a new era. Acta Ortop Mex. 2022;36(1):39-47.

10. Wixted CM, Peterson JR, Kadakia RJ, Adams SB. Three-dimensional printing in orthopaedic surgery: current applications and future developments. J Am Acad Orthop Surg Glob Res Rev. 2021;5(4):e20.00230-11. Published 2021 Apr 20. doi:10.5435/JAAOSGlobal-D-20-00230

11. Hong CJ, Giannopoulos AA, Hong BY, et al. Clinical applications of three-dimensional printing in otolaryngology-head and neck surgery: a systematic review. Laryngoscope. 2019;129(9):2045-2052. doi:10.1002/lary.2783112. Sigron GR, Barba M, Chammartin F, Msallem B, Berg BI, Thieringer FM. Functional and cosmetic outcome after reconstruction of isolated, unilateral orbital floor fractures (blow-out fractures) with and without the support of 3D-printed orbital anatomical models. J Clin Med. 2021;10(16):3509. Published 2021 Aug 9. doi:10.3390/jcm10163509

13. Kimura K, Davis S, Thomas E, et al. 3D Customization for microtia repair in hemifacial microsomia. Laryngoscope. 2022;132(3):545-549. doi:10.1002/lary.29823

14. Nyberg EL, Farris AL, Hung BP, et al. 3D-printing technologies for craniofacial rehabilitation, reconstruction, and regeneration. Ann Biomed Eng. 2017;45(1):45-57. doi:10.1007/s10439-016-1668-5

15. Flores-Ruiz R, Castellanos-Cosano L, Serrera-Figallo MA, et al. Evolution of oral cancer treatment in an andalusian population sample: rehabilitation with prosthetic obturation and removable partial prosthesis. J Clin Exp Dent. 2017;9(8):e1008-e1014. doi:10.4317/jced.54023

16. Rogers SN, Lowe D, McNally D, Brown JS, Vaughan ED. Health-related quality of life after maxillectomy: a comparison between prosthetic obturation and free flap. J Oral Maxillofac Surg. 2003;61(2):174-181. doi:10.1053/joms.2003.50044

17. Pool C, Shokri T, Vincent A, Wang W, Kadakia S, Ducic Y. Prosthetic reconstruction of the maxilla and palate. Semin Plast Surg. 2020;34(2):114-119. doi:10.1055/s-0040-1709143

18. Badhey AK, Khan MN. Palatomaxillary reconstruction: fibula or scapula. Semin Plast Surg. 2020;34(2):86-91. doi:10.1055/s-0040-1709431

19. Jategaonkar AA, Kaul VF, Lee E, Genden EM. Surgery of the palatomaxillary structure. Semin Plast Surg. 2020;34(2):71-76. doi:10.1055/s-0040-1709430

20. Lobb DC, Cottler P, Dart D, Black JS. The use of patient-specific three-dimensional printed surgical models enhances plastic surgery resident education in craniofacial surgery. J Craniofac Surg. 2019;30(2):339-341. doi:10.1097/SCS.0000000000005322

21. 3D printing technician salary in the United States. Accessed February 27, 2024. https://www.salary.com/research/salary/posting/3d-printing-technician-salary22. US Dept of Veterans Affairs. Healthcare Common Procedure Coding System. Outpatient dental professional nationwide charges by HCPCS code. January-December 2020. Accessed February 27, 2024. https://www.va.gov/COMMUNITYCARE/docs/RO/Outpatient-DataTables/v3-27_Table-I.pdf23. Washington State Department of Labor and Industries. Professional services fee schedule HCPCS level II fees. October 1, 2020. Accessed February 27, 2024. https://lni.wa.gov/patient-care/billing-payments/marfsdocs/2020/2020FSHCPCS.pdf24. Low CM, Morris JM, Price DL, et al. Three-dimensional printing: current use in rhinology and endoscopic skull base surgery. Am J Rhinol Allergy. 2019;33(6):770-781. doi:10.1177/1945892419866319

25. Aimar A, Palermo A, Innocenti B. The role of 3D printing in medical applications: a state of the art. J Healthc Eng. 2019;2019:5340616. Published 2019 Mar 21. doi:10.1155/2019/5340616

26. Garcia J, Yang Z, Mongrain R, Leask RL, Lachapelle K. 3D printing materials and their use in medical education: a review of current technology and trends for the future. BMJ Simul Technol Enhanc Learn. 2018;4(1):27-40. doi:10.1136/bmjstel-2017-000234

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<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>0524 FED AVAHO 3D</fileName> <TBEID>0C02F59E.SIG</TBEID> <TBUniqueIdentifier>NJ_0C02F59E</TBUniqueIdentifier> <newsOrJournal>Journal</newsOrJournal> <publisherName>Frontline Medical Communications Inc.</publisherName> <storyname/> <articleType>1</articleType> <TBLocation>Copyfitting-FED</TBLocation> <QCDate/> <firstPublished>20240428T215428</firstPublished> <LastPublished>20240428T215428</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20240428T215428</CMSDate> <articleSource/> <facebookInfo/> <meetingNumber/> <byline/> <bylineText>Christian Calderona,b; Autreen Golzara,b; Stephen Marcott, MDa,b; Kyle Giffordc; Sandy Napel, PhDc; Dominik Fleischmann, MDc; Fred M. Baik, MDa,b; Thomas F. Osborne, MDa,b; Andrey Finegersh, MD, PhDa,b; Davud Sirjani, MDa,b</bylineText> <bylineFull/> <bylineTitleText/> <USOrGlobal/> <wireDocType/> <newsDocType/> <journalDocType/> <linkLabel/> <pageRange/> <citation/> <quizID/> <indexIssueDate/> <itemClass qcode="ninat:text"/> <provider qcode="provider:"> <name/> <rightsInfo> <copyrightHolder> <name/> </copyrightHolder> <copyrightNotice/> </rightsInfo> </provider> <abstract/> <metaDescription>Three-dimensional (3D) printing has become a promising area of innovation in biomedical research.1,2 Previous research in orthopedic surgery has found that cust</metaDescription> <articlePDF/> <teaserImage/> <title>3D Printing for the Development of Palatal Defect Prosthetics</title> <deck/> <eyebrow>Program Profile</eyebrow> <disclaimer/> <AuthorList/> <articleURL/> <doi/> <pubMedID/> <publishXMLStatus/> <publishXMLVersion>1</publishXMLVersion> <useEISSN>0</useEISSN> <urgency/> <pubPubdateYear>2024</pubPubdateYear> <pubPubdateMonth>May</pubPubdateMonth> <pubPubdateDay/> <pubVolume>41</pubVolume> <pubNumber>5</pubNumber> <wireChannels/> <primaryCMSID/> <CMSIDs> <CMSID>4473</CMSID> <CMSID>3639</CMSID> </CMSIDs> <keywords/> <seeAlsos/> <publications_g> <publicationData> <publicationCode>FED</publicationCode> <pubIssueName>May 2024</pubIssueName> <pubArticleType>Feature Articles | 3639</pubArticleType> <pubTopics/> <pubCategories/> <pubSections> <pubSection>Program Profile | 4473<pubSubsection/></pubSection> </pubSections> <journalTitle>Fed Pract</journalTitle> <journalFullTitle>Federal Practitioner</journalFullTitle> <copyrightStatement>Copyright 2017 Frontline Medical Communications Inc., Parsippany, NJ, USA. All rights reserved.</copyrightStatement> </publicationData> </publications_g> <publications> <term canonical="true">16</term> </publications> <sections> <term canonical="true">61535</term> </sections> <topics> <term>27442</term> <term canonical="true">263</term> </topics> <links/> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>3D Printing for the Development of Palatal Defect Prosthetics</title> <deck/> </itemMeta> <itemContent> <p class="abstract"><b>Background:</b> Three-dimensional (3D) printing has emerged as a promising new technology for the development of surgical prosthetics. Research in orthopedic surgery has demonstrated that using 3D printed customized prosthetics results in more precise implant placements and better patient outcomes. However, there has been little research on implementing customized 3D printed prosthetics in otolaryngology. The program sought to determine whether computed tomography (CT) serves as feasible templates to construct 3D printed palatal obturator prosthetics for defects in patients who have been treated for head and neck cancers. <br/><br/><b>Observations:</b> A retrospective review of patients with palatal defects was conducted and identified 1 patient with high quality CTs compatible with 3D modeling. CTs of the patient’s craniofacial anatomy were used to develop a 3D model and a Formlabs 3B+ printer printed the palatal prosthetic.<b> </b>We successfully developed and produced an individualized prosthetic using CTs from a veteran with head and neck deformities caused by cancer treatment who was previously treated at the Veterans Affairs Palo Alto Health Care System. This project was successful in printing patient-specific implants using CT reproductions of the patient’s craniofacial anatomy, particularly of the palate. The program was a proof of concept and the implant we created was not used on the patient. <br/><br/><b>Conclusions:</b> Customized 3D printed implants may allow otolaryngologists to enhance the performance and efficiency of surgeries and better rehabilitate and reconstruct craniofacial deformities to restore appearance and function to patients. Additional research will strive to enhance the therapeutic potential of these prosthetics to serve as low-cost, patient-specific implants.</p> <p>Three-dimensional (3D) printing has become a promising area of innovation in biomedical research.<sup>1,2</sup> Previous research in orthopedic surgery has found that customized 3D printed implants, casts, orthoses, and prosthetics (eg, prosthetic hands) matched to an individual’s unique anatomy can result in more precise placement and better surgical outcomes.<sup>3-5</sup> Customized prosthetics have also been found to lead to fewer complications.<sup>3,6</sup></p> <p>Recent advances in 3D printing technology has prompted investigation from surgeons to identify how this new tool may be incorporated into patient care.<sup>1,7</sup> One of the most common applications of 3D printing is during preoperative planning in which surgeons gain better insight into patient-specific anatomy by using patient-specific printed models.<sup>8</sup> Another promising application is the production of customized prosthetics suited to each patient’s unique anatomy.<sup>9</sup> As a result, 3D printing has significantly impacted bone and cartilage restoration procedures and has the potential to completely transform the treatment of patients with debilitating musculoskeletal injuries.<sup>3,10<br/><br/></sup>The potential surrounding 3D printed prosthetics has led to their adoption by several other specialties, including otolaryngology.<sup>11</sup> The most widely used application of 3D printing among otolaryngologists is preoperative planning, and the incorporation of printed prosthetics intoreconstruction of the orbit, nasal septum, auricle, and palate has also been reported.<sup>2,12,13</sup> Patient-specific implants might allow otolaryngologists to better rehabilitate, reconstruct, and/or regenerate craniofacial defects using more humane procedures.<sup>14</sup><br/><br/>Patients with palatomaxillary cancers are treated by prosthodontists or otolaryngologists. An impression is made with a resin–which can be painful for postoperative patients–and a prosthetic is manufactured and implanted.<sup>15-17</sup> Patients with cancer often see many specialists, though reconstructive care is a low priority. Many of these individuals also experience dynamic anatomic functional changes over time, leading to the need for multiple prothesis.</p> <h2>palatomaxillary prosthetics</h2> <p>This program aims to use patients’ previous computed tomography (CT) to tailor customized 3D printed palatomaxillary prosthetics to specifically fit their anatomy. Palatomaxillary defects are a source of profound disability for patients with head and neck cancers who are left with large anatomic defects as a direct result of treatment. Reconstruction of palatal defects poses unique challenges due to the complexity of patient anatomy.<sup>18,19</sup></p> <p>3D printed prosthetics for palatomaxillary defects have not been incorporated into patient care. We reviewed previous imaging research to determine if it could be used to assist patients who struggle with their function and appearance following treatment for head and neck cancers. The primary aim was to investigate whether 3D printing was a feasible strategy for creating patient-specific palatomaxillary prosthetics. The secondary aim is to determine whether these prosthetics should be tested in the future for use in reconstruction of maxillary defects.</p> <h3>Data Acquisition</h3> <p>This study was conducted at the Veterans Affairs Palo Alto Health Care System (VAPAHCS) and was approved by the Stanford University Institutional Review Board (approval #28958, informed consent and patient contact excluded). A retrospective chart review was conducted on all patients with head and neck cancers who were treated at VAPAHCS from 2010 to 2022. Patients aged ≥ 18 years who had a palatomaxillary defect due to cancer treatment, had undergone a palatal resection, and who received treatment at any point from 2010 to 2022 were included in the review. CTs were not a specific inclusion criterion, though the quality of the scans was analyzed for eligible patients. Younger patients and those treated at VAPAHCS prior to 2010 were excluded.</p> <p>There was no control group; all data was sourced from the US Department of Veterans Affairs (VA) imaging system database. Among the 3595 patients reviewed, 5 met inclusion criteria and the quality of their craniofacial anatomy CTs were analyzed. To maintain accurate craniofacial 3D modeling, CTs require a maximum of 1 mm slice thickness. Of the 5 patients who met the inclusion criteria, 4 were found to have variability in the quality of their CTs and severe defects not suitable for prosthetic reconstruction, which led to their exclusion from the study. One patient was investigated to demonstrate if making these prostheses was feasible. This patient was diagnosed with a malignant neoplasm of the hard palate, underwent a partial maxillectomy, and a palatal obturator was placed to cover the defect.<br/><br/>The primary data collected was patient identifiers as well as the gross anatomy and dimensions of the patients’ craniofacial anatomy, as seen in previous imaging research.<sup>20</sup> Before the imaging analysis, all personal health information was removed and the dataset was deidentified to ensure patient anonymity and noninvolvement.</p> <h3>CT Segmentation and 3D Printing</h3> <p>Using CTs of the patient’s craniofacial anatomy, we developed a model of the defects. This was achieved with deidentified CTs imported into the Food and Drug Administration (FDA)-approved computerized aid design (CAD) software, Materialise Mimics. The hard palate was segmented and isolated based off the presented scan and any holes in the image were filled using the CAD software. The model was subsequently mirrored in Materialise 3-matic to replicate an original anatomical hard palate prosthesis. The final product was converted into a 3D model and imported into Formlabs preform software to generate 3D printing supports and orient it for printing. The prosthetic was printed using FDA-approved Biocompatible Denture Base Resin by a Formlabs 3B+ printer at the Palo Alto VA Simulation Center. The 3D printed prosthesis was washed using Formlabs Form Wash 80% ethyl alcohol to remove excess resin and subsequently cured to harden the malleable resin. Supports were later removed, and the prosthesis was sanded.</p> <p>The primary aim of this study was to investigate whether using CTs to create patient-specific prosthetic renderings for patients with head and neck cancer could be a feasible strategy. The CTs from the patient were successfully used to generate a 3D printed prosthesis, and the prosthesis matched the original craniofacial anatomy seen in the patient's imaging (Figure). These results demonstrate that high quality CTs can be used as a template for 3D printed prostheses for mild to moderate palatomaxillary defects.</p> <h3>3D Printing Costs</h3> <p>One liter of Denture Base Resin costs $299; prostheses use about 5 mL of resin. The average annual salary of a 3D printing technician in the United States is $42,717, or $20.54 per hour.<sup>21</sup> For an experienced 3D printing technician, the time required to segment the hard palate and prepare it for 3D printing is 1 to 2 hours. The process may exceed 2 hours if the technician is presented with a lower quality CT or if the patient has a complex craniofacial anatomy.</p> <p>The average time it takes to print a palatal prosthetic is 5 hours. An additional hour is needed for postprocessing, which includes washing and sanding. Therefore, the cost of the materials and labor for an average 3D printed prosthetic is about $150. A Formlabs 3B+ printer is competitively priced around $10,000. The cost for Materialise Mimics software varies, but is estimated at $16,000 at VAPAHCS. The prices for these 2 items are not included in our price estimation but should be taken into consideration.</p> <h3>Prosthodontist Process and Cost </h3> <p>The typical process of creating a palatal prosthesis by a prosthodontist begins by examining the patient, creating a stone model, then creating a wax model. Biocompatible materials are selected and processed into a mold that is trimmed and polished to the desired shape. This is followed by another patient visit to ensure the prosthesis fits properly. Follow-up care is also necessary for maintenance and comfort. </p> <p>The average cost of a palatal prosthesis varies depending on the type needed (ie, metal implant, teeth replacement), the materials used, the region in which the patient is receiving care, and the complexity of the case. For complex and customizable options like those required for patients with cancer, the prostheses typically cost several thousands of dollars. The Healthcare Common Procedure Coding System code for a palatal lift prosthesis (D5955) lists prices ranging from $4000 to $8000 per prosthetic, not including the cost of the prosthodontist visits.<sup>22,23</sup></p> <h2>Discussion</h2> <p>This program sought to determine whether imaging studies of maxillary defects are effective templates for developing 3D printed prosthetics and whether these prosthetics should be tested for future use in reconstruction of palatomaxillary defects. Our program illustrated that CTs served as feasible templates for developing hard palate prostheses for patients with palatomaxillary defects. It is important to note the CTs used were from a newer and more modern scanner and therefore yielded detailed palatal structures with higher accuracy more suitable for 3D modeling. Lower-quality CTs from the 4 patients excluded from the program were not suitable for 3D modeling. This suggests that with high-quality imaging, 3D printed prosthesis may be a viable strategy to help patients who struggle with their function following treatment for head and neck cancers.</p> <p>3D printed prosthesis may also be a more patient centered and convenient option. In the traditional prosthesis creation workflow, the patient must physically bite down onto a resin (alginate or silicone) to make an impression, a very painful postoperative process that is irritating to the raw edges of the surgical bed.<sup>15,16</sup> Prosthodontists then create a prosthetic minus the tumor and typically secure it with clips or glue.<sup>17</sup> Many patients also experience changes in their anatomy over time requiring them to have a new protheses created. This is particularly important in veterans with palatomaxillary defects since many VA medical centers do not have a prosthodontist on staff, making accessibility to these specialists difficult. 3D printing provides a contactless prosthetic creation process. This convenience may reduce a patient’s pain and the number of visits for which they need a specialist.</p> <h3>Future Directions</h3> <p>Additional research is needed to determine the full potential of 3D printed prosthetics. 3D printed prostheses have been effectively used for patient education in areas of presurgical planning, prosthesis creation, and trainee education.<sup>24</sup> This research represents an early step in the development of a new technology for use in otolaryngology. Specifically, many veterans with a history of head and neck cancers have sustained changes to their craniofacial anatomy following treatment. Using imaging to create 3D printed prosthetics could be very effective for these patients. Prosthetics could improve a patient’s quality of life by restoring/approximating their anatomy after cancer treatment.</p> <p>Significant time and care must be taken by cancer and reconstructive surgeons to properly fit a prosthesis. Improperly fitting prosthetics leads to mucosal ulceration that then may lead to a need for fitting a new prosthetic. The advantage of 3D printed prosthetics is that they may more precisely fit the anatomy of each patient using CT results, thus potentially reducing the time needed to fit the prosthetic as well as the risk associated with an improperly fit prosthetic. 3D printed prosthesis could be used directly in the future, however, clinical trials are needed to verify its efficacy vs prosthodontic options.<br/><br/>Another consideration for potential future use of 3D printed prosthetics is cost. We estimated that the cost of the materials and labor of our 3D printed prosthetic to be about $150. Pricing of current molded prosthetics varies, but is often listed at several thousand dollars. Another consideration is the durability of 3D printed prosthetics vs standard prosthetics. Since we were unable to use the prosthetic in the patient, it was difficult to determine its durability. The significant cost of the 3D printer and software necessary for 3D printed prosthetics must also be considered and may be prohibitive. While many academic hospitals are considering the purchase of 3D printers and licenses, this may be challenging for resource-constrained institutions. 3D printing may also be difficult for groups without any prior experience in the field. Outsourcing to a third party is possible, though doing so adds more cost to the project. While we recognize there is a learning curve associated with adopting any new technology, it’s equally important to note that 3D printing is being rapidly integrated and has already made significant advancements in personalized medicine.<sup>8,25,26</sup></p> <h3>Limitations</h3> <p>This program had several limitations. First, we only obtained CTs of sufficient quality from 1 patient to generate a 3D printed prosthesis. Further research with additional patients is necessary to validate this process. Second, we were unable to trial the prosthesis in the patient because we did not have FDA approval. Additionally, it is difficult to calculate a true cost estimate for this process as materials and software costs vary dramatically across institutions as well as over time. </p> <h2>Conclusions</h2> <p>The purpose of this study was to demonstrate the possibility to develop prosthetics for the hard palate for patients suffering from palatomaxillary defects. A 3D printed prosthetic was generated that matched the patient’s craniofacial anatomy. Future research should test the feasibility of these prosthetics in patient care against a traditional prosthodontic impression. Though this is a proof-of-concept study and no prosthetics were implanted as part of this investigation, we showcase the feasibility of printing prosthetics for palatomaxillary defects. The use of 3D printed prosthetics may be a more humane process, potentially lower cost, and be more accessible to veterans. </p> <p class="isub">Author affiliations</p> <p> <em><sup>a</sup>Stanford University School of Medicine, California<br/><br/><sup>b</sup>Veterans Affairs Palo Alto Health Care System, California<br/><br/><sup>c</sup>3D and Quantitative Imaging Laboratory, Stanford, California</em> </p> <p class="isub">Author disclosures</p> <p> <em>Sandy Napel receives honoraria from Fovia, Inc. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.</em> </p> <p class="isub">Disclaimer</p> <p> <em>The opinions expressed herein are those of the authors and do not necessarily reflect those of the <i>Federal Practitioner</i>, Frontline Medical Communications, Inc., the US Government, or any of its agencies. </em> </p> <p class="isub">Ethics and consent</p> <p> <em>This study was reviewed and approved by the Stanford University Institutional Review Board (approval No. 28958).</em> </p> <p class="isub">Funding/Support</p> <p> <em>This study was funded by the Stanford University School of Medicine Department of Otolaryngology-Head and Neck Surgery. Collection, management, analysis, and interpretation of data was completed at the Veterans Affairs Palo Alto Health Care System, using innovation funds to purchase a 3D printer for the division of otolaryngology.</em> </p> <h2>References</h2> <p class="reference"> 1. Crafts TD, Ellsperman SE, Wannemuehler TJ, Bellicchi TD, Shipchandler TZ, Mantravadi AV. Three-dimensional printing and its applications in otorhinolaryngology-head and neck surgery. <i>Otolaryngol Head Neck Surg</i>. 2017;156(6):999-1010. doi:10.1177/0194599816678372<br/><br/> 2. Virani FR, Chua EC, Timbang MR, Hsieh TY, Senders CW. Three-dimensional printing in cleft care: a systematic review. <i>Cleft Palate Craniofac J</i>. 2022;59(4):484-496. doi:10.1177/10556656211013175<br/><br/> 3. Lal H, Patralekh MK. 3D printing and its applications in orthopaedic trauma: A technological marvel. <i>J Clin Orthop Trauma</i>. 2018;9(3):260-268. doi:10.1016/j.jcot.2018.07.022<br/><br/> 4. Vujaklija I, Farina D. 3D printed upper limb prosthetics. <i>Expert Rev Med Devices</i>. 2018;15(7):505-512. doi:10.1080/17434440.2018.1494568<br/><br/> 5. Ten Kate J, Smit G, Breedveld P. 3D-printed upper limb prostheses: a review. <i>Disabil Rehabil Assist Technol</i>. 2017;12(3):300-314. doi:10.1080/17483107.2016.1253117<br/><br/> 6. Thomas CN, Mavrommatis S, Schroder LK, Cole PA. An overview of 3D printing and the orthopaedic application of patient-specific models in malunion surgery. <i>Injury</i>. 2022;53(3):977-983. doi:10.1016/j.injury.2021.11.019<br/><br/> 7. Colaco M, Igel DA, Atala A. The potential of 3D printing in urological research and patient care. <i>Nat Rev Urol</i>. 2018;15(4):213-221. doi:10.1038/nrurol.2018.6<br/><br/> 8. Meyer-Szary J, Luis MS, Mikulski S, et al. The role of 3D printing in planning complex medical procedures and training of medical professionals-cross-sectional multispecialty review. <i>Int J Environ Res Public Health</i>. 2022;19(6):3331. Published 2022 Mar 11. doi:10.3390/ijerph19063331<br/><br/> 9. Moya D, Gobbato B, Valente S, Roca R. Use of preoperative planning and 3D printing in orthopedics and traumatology: entering a new era. <i>Acta Ortop Mex</i>. 2022;36(1):39-47.<br/><br/>10. Wixted CM, Peterson JR, Kadakia RJ, Adams SB. Three-dimensional printing in orthopaedic surgery: current applications and future developments. <i>J Am Acad Orthop Surg Glob Res Rev</i>. 2021;5(4):e20.00230-11. Published 2021 Apr 20. doi:10.5435/JAAOSGlobal-D-20-00230<br/><br/>11. Hong CJ, Giannopoulos AA, Hong BY, et al. Clinical applications of three-dimensional printing in otolaryngology-head and neck surgery: a systematic review. <i>Laryngoscope</i>. 2019;129(9):2045-2052. doi:10.1002/lary.2783112. Sigron GR, Barba M, Chammartin F, Msallem B, Berg BI, Thieringer FM. Functional and cosmetic outcome after reconstruction of isolated, unilateral orbital floor fractures (blow-out fractures) with and without the support of 3D-printed orbital anatomical models. <i>J Clin Med</i>. 2021;10(16):3509. Published 2021 Aug 9. doi:10.3390/jcm10163509<br/><br/>13. Kimura K, Davis S, Thomas E, et al. 3D Customization for microtia repair in hemifacial microsomia. <i>Laryngoscope</i>. 2022;132(3):545-549. doi:10.1002/lary.29823<br/><br/>14. Nyberg EL, Farris AL, Hung BP, et al. 3D-printing technologies for craniofacial rehabilitation, reconstruction, and regeneration. <i>Ann Biomed Eng</i>. 2017;45(1):45-57. doi:10.1007/s10439-016-1668-5<br/><br/>15. Flores-Ruiz R, Castellanos-Cosano L, Serrera-Figallo MA, et al. Evolution of oral cancer treatment in an andalusian population sample: rehabilitation with prosthetic obturation and removable partial prosthesis. <i>J Clin Exp Dent</i>. 2017;9(8):e1008-e1014. doi:10.4317/jced.54023<br/><br/>16. Rogers SN, Lowe D, McNally D, Brown JS, Vaughan ED. Health-related quality of life after maxillectomy: a comparison between prosthetic obturation and free flap. <i>J Oral Maxillofac Surg</i>. 2003;61(2):174-181. doi:10.1053/joms.2003.50044<br/><br/>17. Pool C, Shokri T, Vincent A, Wang W, Kadakia S, Ducic Y. Prosthetic reconstruction of the maxilla and palate. <i>Semin Plast Surg</i>. 2020;34(2):114-119. doi:10.1055/s-0040-1709143<br/><br/>18. Badhey AK, Khan MN. Palatomaxillary reconstruction: fibula or scapula. <i>Semin Plast Surg</i>. 2020;34(2):86-91. doi:10.1055/s-0040-1709431<br/><br/>19. Jategaonkar AA, Kaul VF, Lee E, Genden EM. Surgery of the palatomaxillary structure. <i>Semin Plast Surg</i>. 2020;34(2):71-76. doi:10.1055/s-0040-1709430<br/><br/>20. Lobb DC, Cottler P, Dart D, Black JS. The use of patient-specific three-dimensional printed surgical models enhances plastic surgery resident education in craniofacial surgery. <i>J Craniofac Surg</i>. 2019;30(2):339-341. doi:10.1097/SCS.0000000000005322<br/><br/>21. 3D printing technician salary in the United States. Accessed February 27, 2024. https://www.salary.com/research/salary/posting/3d-printing-technician-salary22. US Dept of Veterans Affairs. Healthcare Common Procedure Coding System. Outpatient dental professional nationwide charges by HCPCS code. January-December 2020. Accessed February 27, 2024. https://www.va.gov/COMMUNITYCARE/docs/RO/Outpatient-DataTables/v3-27_Table-I.pdf23. Washington State Department of Labor and Industries. Professional services fee schedule HCPCS level II fees. October 1, 2020. Accessed February 27, 2024. https://lni.wa.gov/patient-care/billing-payments/marfsdocs/2020/2020FSHCPCS.pdf24. Low CM, Morris JM, Price DL, et al. Three-dimensional printing: current use in rhinology and endoscopic skull base surgery. <i>Am J Rhinol Allergy</i>. 2019;33(6):770-781. doi:10.1177/1945892419866319<br/><br/>25. Aimar A, Palermo A, Innocenti B. The role of 3D printing in medical applications: a state of the art. <i>J Healthc Eng</i>. 2019;2019:5340616. Published 2019 Mar 21. doi:10.1155/2019/5340616<br/><br/>26. Garcia J, Yang Z, Mongrain R, Leask RL, Lachapelle K. 3D printing materials and their use in medical education: a review of current technology and trends for the future. <i>BMJ Simul Technol Enhanc Learn</i>. 2018;4(1):27-40. doi:10.1136/bmjstel-2017-000234</p> </itemContent> </newsItem> </itemSet></root>
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Commentary: Medication Timing and Other Dupilumab Concerns, March 2024

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Dr. Feldman scans the journals, so you don’t have to!

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Ahn and colleagues found that having atopic dermatitis (AD) is associated with a higher risk for subsequent autoimmune disease. Is it a significant increased risk? What do we mean by "significant"? If we mean that the difference they observed wasn't likely due to chance alone, then yes, the observed difference was significant in the sense of being statistically significant. But what we really want to know is whether the difference they saw was large enough that someone with AD should lose sleep over it; I don't think they should. About six in 1000 patients per year without AD had a subsequent autoimmune disease; about eight in 1000 patients per year with AD had a subsequent autoimmune disease. There may be some genetic propensity to autoimmune disease in people with AD, but the great majority of people with AD, like the great majority of people in general, will not develop a subsequent autoimmune disease.

When skin diseases affect the palm or sole, they can have a disproportionately large negative effect on patients' lives. Hand and foot dermatitis can be disabling. Simpson and colleagues find that dupilumab is an effective treatment for AD of the hands and feet. Having safe and effective treatment for hand and foot dermatitis will be life-changing for many of our patients.

Patients often do very well with biologic treatment. When they do, they often wonder, Do I need to continue taking the medication? Lasheras-Pérez and colleagues found that the great majority of patients doing well taking dupilumab for AD could stretch out their dosing interval. I suspect a lot of our patients are doing this already. I used to worry that stretching out the dosing interval might lead to antidrug antibodies and loss of activity. Such loss of activity doesn't appear common. Because we also have multiple alternative treatments for severe AD, I think it may be quite reasonable for patients to try spreading out their doses after their disease has been well controlled for a good long time.

Superficial skin infections aren't rare in children, particularly children with AD. Paller and colleagues' study is informative about the safety of dupilumab in children. The drug, which blocks a pathway of the immune system, was associated with fewer infections. This is good news. The reduction in infections could be through restoring "immune balance" (whatever that means) or by improving skin barrier function. Perhaps the low rate of infection explains why dupilumab is not considered immunosuppressive.

I love studies of drug survival because I think that knowing the percentage of patients who stay with drug treatment is a good measure of overall safety and efficacy. Pezzolo and colleagues found — perhaps not surprisingly given the extraordinary efficacy of upadacitinib for AD — that almost no one discontinued the drug over 1.5 years due to lack of efficacy. There were patients who discontinued due to adverse events (and additional patients lost to follow-up who perhaps also discontinued the drug), but 80% of patients were still in the study at the end of 1.5 years. Three patients who weren't vaccinated for shingles developed shingles; encouraging patients to get the shingles vaccine may be a prudent measure when starting patients taking upadacitinib. 
 

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Dr. Feldman scans the journals, so you don’t have to!
Dr. Feldman scans the journals, so you don’t have to!

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%3Cp%3E%3Cspan%20style%3D%22font-size%3A12.0pt%22%3E%3Cspan%20style%3D%22background%3Awhite%22%3E%3Cspan%20style%3D%22line-height%3A107%25%22%3E%3Cspan%20style%3D%22font-family%3A%26quot%3BArial%26quot%3B%2Csans-serif%22%3E%3Cspan%20style%3D%22color%3Ablack%22%3ESteven%20R.%20Feldman%2C%20MD%2C%20PhD%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fp%3E
Ahn and colleagues found that having atopic dermatitis (AD) is associated with a higher risk for subsequent autoimmune disease. Is it a significant increased risk? What do we mean by "significant"? If we mean that the difference they observed wasn't likely due to chance alone, then yes, the observed difference was significant in the sense of being statistically significant. But what we really want to know is whether the difference they saw was large enough that someone with AD should lose sleep over it; I don't think they should. About six in 1000 patients per year without AD had a subsequent autoimmune disease; about eight in 1000 patients per year with AD had a subsequent autoimmune disease. There may be some genetic propensity to autoimmune disease in people with AD, but the great majority of people with AD, like the great majority of people in general, will not develop a subsequent autoimmune disease.

When skin diseases affect the palm or sole, they can have a disproportionately large negative effect on patients' lives. Hand and foot dermatitis can be disabling. Simpson and colleagues find that dupilumab is an effective treatment for AD of the hands and feet. Having safe and effective treatment for hand and foot dermatitis will be life-changing for many of our patients.

Patients often do very well with biologic treatment. When they do, they often wonder, Do I need to continue taking the medication? Lasheras-Pérez and colleagues found that the great majority of patients doing well taking dupilumab for AD could stretch out their dosing interval. I suspect a lot of our patients are doing this already. I used to worry that stretching out the dosing interval might lead to antidrug antibodies and loss of activity. Such loss of activity doesn't appear common. Because we also have multiple alternative treatments for severe AD, I think it may be quite reasonable for patients to try spreading out their doses after their disease has been well controlled for a good long time.

Superficial skin infections aren't rare in children, particularly children with AD. Paller and colleagues' study is informative about the safety of dupilumab in children. The drug, which blocks a pathway of the immune system, was associated with fewer infections. This is good news. The reduction in infections could be through restoring "immune balance" (whatever that means) or by improving skin barrier function. Perhaps the low rate of infection explains why dupilumab is not considered immunosuppressive.

I love studies of drug survival because I think that knowing the percentage of patients who stay with drug treatment is a good measure of overall safety and efficacy. Pezzolo and colleagues found — perhaps not surprisingly given the extraordinary efficacy of upadacitinib for AD — that almost no one discontinued the drug over 1.5 years due to lack of efficacy. There were patients who discontinued due to adverse events (and additional patients lost to follow-up who perhaps also discontinued the drug), but 80% of patients were still in the study at the end of 1.5 years. Three patients who weren't vaccinated for shingles developed shingles; encouraging patients to get the shingles vaccine may be a prudent measure when starting patients taking upadacitinib. 
 

feldman.steven.jpg
%3Cp%3E%3Cspan%20style%3D%22font-size%3A12.0pt%22%3E%3Cspan%20style%3D%22background%3Awhite%22%3E%3Cspan%20style%3D%22line-height%3A107%25%22%3E%3Cspan%20style%3D%22font-family%3A%26quot%3BArial%26quot%3B%2Csans-serif%22%3E%3Cspan%20style%3D%22color%3Ablack%22%3ESteven%20R.%20Feldman%2C%20MD%2C%20PhD%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fspan%3E%3C%2Fp%3E
Ahn and colleagues found that having atopic dermatitis (AD) is associated with a higher risk for subsequent autoimmune disease. Is it a significant increased risk? What do we mean by "significant"? If we mean that the difference they observed wasn't likely due to chance alone, then yes, the observed difference was significant in the sense of being statistically significant. But what we really want to know is whether the difference they saw was large enough that someone with AD should lose sleep over it; I don't think they should. About six in 1000 patients per year without AD had a subsequent autoimmune disease; about eight in 1000 patients per year with AD had a subsequent autoimmune disease. There may be some genetic propensity to autoimmune disease in people with AD, but the great majority of people with AD, like the great majority of people in general, will not develop a subsequent autoimmune disease.

When skin diseases affect the palm or sole, they can have a disproportionately large negative effect on patients' lives. Hand and foot dermatitis can be disabling. Simpson and colleagues find that dupilumab is an effective treatment for AD of the hands and feet. Having safe and effective treatment for hand and foot dermatitis will be life-changing for many of our patients.

Patients often do very well with biologic treatment. When they do, they often wonder, Do I need to continue taking the medication? Lasheras-Pérez and colleagues found that the great majority of patients doing well taking dupilumab for AD could stretch out their dosing interval. I suspect a lot of our patients are doing this already. I used to worry that stretching out the dosing interval might lead to antidrug antibodies and loss of activity. Such loss of activity doesn't appear common. Because we also have multiple alternative treatments for severe AD, I think it may be quite reasonable for patients to try spreading out their doses after their disease has been well controlled for a good long time.

Superficial skin infections aren't rare in children, particularly children with AD. Paller and colleagues' study is informative about the safety of dupilumab in children. The drug, which blocks a pathway of the immune system, was associated with fewer infections. This is good news. The reduction in infections could be through restoring "immune balance" (whatever that means) or by improving skin barrier function. Perhaps the low rate of infection explains why dupilumab is not considered immunosuppressive.

I love studies of drug survival because I think that knowing the percentage of patients who stay with drug treatment is a good measure of overall safety and efficacy. Pezzolo and colleagues found — perhaps not surprisingly given the extraordinary efficacy of upadacitinib for AD — that almost no one discontinued the drug over 1.5 years due to lack of efficacy. There were patients who discontinued due to adverse events (and additional patients lost to follow-up who perhaps also discontinued the drug), but 80% of patients were still in the study at the end of 1.5 years. Three patients who weren't vaccinated for shingles developed shingles; encouraging patients to get the shingles vaccine may be a prudent measure when starting patients taking upadacitinib. 
 

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Dupilumab for Dyshidrotic Eczema With Secondary Improvement in Eosinophilic Interstitial Lung Disease

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Dupilumab for Dyshidrotic Eczema With Secondary Improvement in Eosinophilic Interstitial Lung Disease

To the Editor:

Biologic medications are increasingly utilized in adults with moderate to severe atopic dermatitis (AD) that is inadequately controlled with topical medication. By targeting the IL-4 receptor alpha subunit, dupilumab inhibits the biologic effects of IL-4 and IL-13, resulting in remarkable improvement in disease and quality of life for many patients with refractory AD.1

In 2017, the US Food and Drug Administration approved dupilumab for use in AD, asthma, and chronic rhinosinusitis. However, there is evidence of the drug’s off-label efficacy in conditions such as eosinophilic annular erythema.2 We present a patient with dyshidrotic eczema treated with dupilumab who experienced contemporaneous secondary improvement in chronic eosinophilic pneumonia (CEP) and interstitial lung disease (ILD).

A 45-year-old man was referred to our dermatology clinic for chronic hand dermatitis refractory to increasing strengths of topical corticosteroids. He had a history of progressive shortness of breath of unknown cause, which began 2 years prior, and he was being followed at our institution’s ILD clinic. Earlier pulmonary function testing revealed a restrictive pattern with interstitial infiltrates seen on chest computed tomography. A lung biopsy demonstrated features of fibrotic nonspecific interstitial pneumonitis with superimposed eosinophilic pneumonia. His pulmonary symptoms had progressively worsened; over a period of several months, the supplemental oxygen requirement had increased to 6 L at rest and 12 L upon exertion. Prednisone therapy was initiated, which alleviated respiratory symptoms; however, the patient was unable to tolerate a gradual wean of the medication, which rendered him steroid dependent at 30 mg/d.

Along with respiratory symptoms, the patient reported symptoms consistent with an autoimmune process, including dry eyes. Muscle weakness and tenderness also were noted. Ultimately, a diagnosis of anti–PL-7 (anti-threonyl-transfer RNA synthetase) antisynthetase syndrome was rendered by identification of anti–PL-7 antibodies and an elevated level of creatinine kinase.

Physical examination at our clinic revealed subtle palmar scaling on the hands and multiple small clear vesicles on the lateral aspects of the digits (Figure, A), consistent with dyshidrotic eczema. He initially was treated with clobetasol propionate ointment 0.05%. Despite adherence to this high-potency topical corticosteroid, he experienced only minimal improvement over a period of 3 months. Dupilumab was started at standard dosing—600 mg at initiation, followed by 300 mg every 2 weeks. The patient reported rapid improvement in dyshidrotic eczema over several months with near-complete resolution (Figure, B).

CT112005016_e_FigAB.jpg
%3Cp%3EA%2C%20Palmar%20scaling%20and%20multiple%20small%20clear%20vesicles%20on%20the%20lateral%20aspects%20of%20the%20digits%20prior%20to%20initiation%20of%20dupilumab.%20B%2C%20Near-complete%20resolution%20of%20dyshidrotic%20eczema%20with%20dupilumab.%3C%2Fp%3E

Concurrent with initiation and continued use of dupilumab, without other changes in his medication regimen, the patient noted gradual improvement in respiratory symptoms. At 6-month follow-up he reported notable improvement in respiratory function and quality of life. He then tolerated a gradual wean of prednisone to 10 mg/d, with a similar reduction in supplemental oxygen.

Off-label use of dupilumab for various eosinophilic conditions has shown promising efficacy. Our patient experienced improvement in CEP shortly after initiation of dupilumab, enabling weaning of prednisone, which has a well established adverse effect profile associated with long term use.3,4 In comparison, dupilumab generally is well tolerated, with rare ophthalmologic complications and injection-site reactions.5

One case report suggested that CEP may represent a potential rare adverse effect of dupilumab initiation.6 However, prior to initiation of dupilumab, that patient had poorly controlled asthma requiring frequent oral corticosteroid therapy. It is possible that CEP was subclinical prior to initiation of dupilumab and became more noticeable once the patient was weaned from corticosteroids, which had served as an indirect treatment.6 Nonetheless, more research is needed to definitively establish the efficacy of dupilumab in CEP prior to more widespread use.

Irrespective of the potential efficacy of dupilumab for the treatment of CEP, our case highlights the growing body of evidence that dupilumab should be considered in the treatment of dyshidrotic eczema, particularly in cases refractory to topical treatment.7 When a systemic medication is preferred, dupilumab likely represents an option with a relatively well-tolerated adverse effect profile compared to traditional systemic treatments for dyshidrotic eczema.

References

1. Barbarot S, Wollenberg A, Silverberg JI, et al. Dupilumab provides rapid and sustained improvement in SCORAD outcomes in adults with moderate-to-severe atopic dermatitis: combined results ofour randomized phase 3 trials. J Dermatolog Treat. 2022;33:266-277. doi:10.1080/09546634.2020.1750550

2. Gordon SC, Robinson SN, Abudu M, et al. Eosinophilic annular erythema treated with dupilumab. Pediatr Dermatol. 2018;35:E255-E256. doi:10.1111/pde.13533

3. Callaghan DJ 3rd. Use of Google Trends to examine interest in Mohs micrographic surgery: 2004 to 2016. Dermatol Surg. 2018;44:186-192. doi:10.1097/DSS.0000000000001270

4. Fowler C, Hoover W. Dupilumab for chronic eosinophilic pneumonia. Pediatr Pulmonol. 2020;55:3229-3230. doi:10.1002/ppul.25096

5. Simpson EL, Akinlade B, Ardeleanu M. Two phase 3 trials of dupilumab versus placebo in atopic dermatitis. N Engl J Med. 2017;376:1090-1091. doi:10.1056/NEJMc1700366

6. Menzella F, Montanari G, Patricelli G, et al. A case of chronic eosinophilic pneumonia in a patient treated with dupilumab. Ther Clin Risk Manag. 2019;15:869-875. doi:10.2147/TCRM.S207402

7. Waldman RA, DeWane ME, Sloan B, et al. Dupilumab for the treatment of dyshidrotic eczema in 15 consecutive patients. J Am Acad Dermatol. 2020;82:1251-1252. doi:10.1016/j.jaad.2019.12.053

Article PDF
Author and Disclosure Information

From the Division of Dermatology, University of Kansas Medical Center, Kansas City. Dr. Levin also is from the Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton.

The authors report no conflict of interest.

Correspondence: Edward W. Seger, MD, MS, Division of Dermatology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 (ed.seger@gmail.com).

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From the Division of Dermatology, University of Kansas Medical Center, Kansas City. Dr. Levin also is from the Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton.

The authors report no conflict of interest.

Correspondence: Edward W. Seger, MD, MS, Division of Dermatology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 (ed.seger@gmail.com).

Author and Disclosure Information

From the Division of Dermatology, University of Kansas Medical Center, Kansas City. Dr. Levin also is from the Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton.

The authors report no conflict of interest.

Correspondence: Edward W. Seger, MD, MS, Division of Dermatology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 (ed.seger@gmail.com).

Article PDF
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To the Editor:

Biologic medications are increasingly utilized in adults with moderate to severe atopic dermatitis (AD) that is inadequately controlled with topical medication. By targeting the IL-4 receptor alpha subunit, dupilumab inhibits the biologic effects of IL-4 and IL-13, resulting in remarkable improvement in disease and quality of life for many patients with refractory AD.1

In 2017, the US Food and Drug Administration approved dupilumab for use in AD, asthma, and chronic rhinosinusitis. However, there is evidence of the drug’s off-label efficacy in conditions such as eosinophilic annular erythema.2 We present a patient with dyshidrotic eczema treated with dupilumab who experienced contemporaneous secondary improvement in chronic eosinophilic pneumonia (CEP) and interstitial lung disease (ILD).

A 45-year-old man was referred to our dermatology clinic for chronic hand dermatitis refractory to increasing strengths of topical corticosteroids. He had a history of progressive shortness of breath of unknown cause, which began 2 years prior, and he was being followed at our institution’s ILD clinic. Earlier pulmonary function testing revealed a restrictive pattern with interstitial infiltrates seen on chest computed tomography. A lung biopsy demonstrated features of fibrotic nonspecific interstitial pneumonitis with superimposed eosinophilic pneumonia. His pulmonary symptoms had progressively worsened; over a period of several months, the supplemental oxygen requirement had increased to 6 L at rest and 12 L upon exertion. Prednisone therapy was initiated, which alleviated respiratory symptoms; however, the patient was unable to tolerate a gradual wean of the medication, which rendered him steroid dependent at 30 mg/d.

Along with respiratory symptoms, the patient reported symptoms consistent with an autoimmune process, including dry eyes. Muscle weakness and tenderness also were noted. Ultimately, a diagnosis of anti–PL-7 (anti-threonyl-transfer RNA synthetase) antisynthetase syndrome was rendered by identification of anti–PL-7 antibodies and an elevated level of creatinine kinase.

Physical examination at our clinic revealed subtle palmar scaling on the hands and multiple small clear vesicles on the lateral aspects of the digits (Figure, A), consistent with dyshidrotic eczema. He initially was treated with clobetasol propionate ointment 0.05%. Despite adherence to this high-potency topical corticosteroid, he experienced only minimal improvement over a period of 3 months. Dupilumab was started at standard dosing—600 mg at initiation, followed by 300 mg every 2 weeks. The patient reported rapid improvement in dyshidrotic eczema over several months with near-complete resolution (Figure, B).

CT112005016_e_FigAB.jpg
%3Cp%3EA%2C%20Palmar%20scaling%20and%20multiple%20small%20clear%20vesicles%20on%20the%20lateral%20aspects%20of%20the%20digits%20prior%20to%20initiation%20of%20dupilumab.%20B%2C%20Near-complete%20resolution%20of%20dyshidrotic%20eczema%20with%20dupilumab.%3C%2Fp%3E

Concurrent with initiation and continued use of dupilumab, without other changes in his medication regimen, the patient noted gradual improvement in respiratory symptoms. At 6-month follow-up he reported notable improvement in respiratory function and quality of life. He then tolerated a gradual wean of prednisone to 10 mg/d, with a similar reduction in supplemental oxygen.

Off-label use of dupilumab for various eosinophilic conditions has shown promising efficacy. Our patient experienced improvement in CEP shortly after initiation of dupilumab, enabling weaning of prednisone, which has a well established adverse effect profile associated with long term use.3,4 In comparison, dupilumab generally is well tolerated, with rare ophthalmologic complications and injection-site reactions.5

One case report suggested that CEP may represent a potential rare adverse effect of dupilumab initiation.6 However, prior to initiation of dupilumab, that patient had poorly controlled asthma requiring frequent oral corticosteroid therapy. It is possible that CEP was subclinical prior to initiation of dupilumab and became more noticeable once the patient was weaned from corticosteroids, which had served as an indirect treatment.6 Nonetheless, more research is needed to definitively establish the efficacy of dupilumab in CEP prior to more widespread use.

Irrespective of the potential efficacy of dupilumab for the treatment of CEP, our case highlights the growing body of evidence that dupilumab should be considered in the treatment of dyshidrotic eczema, particularly in cases refractory to topical treatment.7 When a systemic medication is preferred, dupilumab likely represents an option with a relatively well-tolerated adverse effect profile compared to traditional systemic treatments for dyshidrotic eczema.

To the Editor:

Biologic medications are increasingly utilized in adults with moderate to severe atopic dermatitis (AD) that is inadequately controlled with topical medication. By targeting the IL-4 receptor alpha subunit, dupilumab inhibits the biologic effects of IL-4 and IL-13, resulting in remarkable improvement in disease and quality of life for many patients with refractory AD.1

In 2017, the US Food and Drug Administration approved dupilumab for use in AD, asthma, and chronic rhinosinusitis. However, there is evidence of the drug’s off-label efficacy in conditions such as eosinophilic annular erythema.2 We present a patient with dyshidrotic eczema treated with dupilumab who experienced contemporaneous secondary improvement in chronic eosinophilic pneumonia (CEP) and interstitial lung disease (ILD).

A 45-year-old man was referred to our dermatology clinic for chronic hand dermatitis refractory to increasing strengths of topical corticosteroids. He had a history of progressive shortness of breath of unknown cause, which began 2 years prior, and he was being followed at our institution’s ILD clinic. Earlier pulmonary function testing revealed a restrictive pattern with interstitial infiltrates seen on chest computed tomography. A lung biopsy demonstrated features of fibrotic nonspecific interstitial pneumonitis with superimposed eosinophilic pneumonia. His pulmonary symptoms had progressively worsened; over a period of several months, the supplemental oxygen requirement had increased to 6 L at rest and 12 L upon exertion. Prednisone therapy was initiated, which alleviated respiratory symptoms; however, the patient was unable to tolerate a gradual wean of the medication, which rendered him steroid dependent at 30 mg/d.

Along with respiratory symptoms, the patient reported symptoms consistent with an autoimmune process, including dry eyes. Muscle weakness and tenderness also were noted. Ultimately, a diagnosis of anti–PL-7 (anti-threonyl-transfer RNA synthetase) antisynthetase syndrome was rendered by identification of anti–PL-7 antibodies and an elevated level of creatinine kinase.

Physical examination at our clinic revealed subtle palmar scaling on the hands and multiple small clear vesicles on the lateral aspects of the digits (Figure, A), consistent with dyshidrotic eczema. He initially was treated with clobetasol propionate ointment 0.05%. Despite adherence to this high-potency topical corticosteroid, he experienced only minimal improvement over a period of 3 months. Dupilumab was started at standard dosing—600 mg at initiation, followed by 300 mg every 2 weeks. The patient reported rapid improvement in dyshidrotic eczema over several months with near-complete resolution (Figure, B).

CT112005016_e_FigAB.jpg
%3Cp%3EA%2C%20Palmar%20scaling%20and%20multiple%20small%20clear%20vesicles%20on%20the%20lateral%20aspects%20of%20the%20digits%20prior%20to%20initiation%20of%20dupilumab.%20B%2C%20Near-complete%20resolution%20of%20dyshidrotic%20eczema%20with%20dupilumab.%3C%2Fp%3E

Concurrent with initiation and continued use of dupilumab, without other changes in his medication regimen, the patient noted gradual improvement in respiratory symptoms. At 6-month follow-up he reported notable improvement in respiratory function and quality of life. He then tolerated a gradual wean of prednisone to 10 mg/d, with a similar reduction in supplemental oxygen.

Off-label use of dupilumab for various eosinophilic conditions has shown promising efficacy. Our patient experienced improvement in CEP shortly after initiation of dupilumab, enabling weaning of prednisone, which has a well established adverse effect profile associated with long term use.3,4 In comparison, dupilumab generally is well tolerated, with rare ophthalmologic complications and injection-site reactions.5

One case report suggested that CEP may represent a potential rare adverse effect of dupilumab initiation.6 However, prior to initiation of dupilumab, that patient had poorly controlled asthma requiring frequent oral corticosteroid therapy. It is possible that CEP was subclinical prior to initiation of dupilumab and became more noticeable once the patient was weaned from corticosteroids, which had served as an indirect treatment.6 Nonetheless, more research is needed to definitively establish the efficacy of dupilumab in CEP prior to more widespread use.

Irrespective of the potential efficacy of dupilumab for the treatment of CEP, our case highlights the growing body of evidence that dupilumab should be considered in the treatment of dyshidrotic eczema, particularly in cases refractory to topical treatment.7 When a systemic medication is preferred, dupilumab likely represents an option with a relatively well-tolerated adverse effect profile compared to traditional systemic treatments for dyshidrotic eczema.

References

1. Barbarot S, Wollenberg A, Silverberg JI, et al. Dupilumab provides rapid and sustained improvement in SCORAD outcomes in adults with moderate-to-severe atopic dermatitis: combined results ofour randomized phase 3 trials. J Dermatolog Treat. 2022;33:266-277. doi:10.1080/09546634.2020.1750550

2. Gordon SC, Robinson SN, Abudu M, et al. Eosinophilic annular erythema treated with dupilumab. Pediatr Dermatol. 2018;35:E255-E256. doi:10.1111/pde.13533

3. Callaghan DJ 3rd. Use of Google Trends to examine interest in Mohs micrographic surgery: 2004 to 2016. Dermatol Surg. 2018;44:186-192. doi:10.1097/DSS.0000000000001270

4. Fowler C, Hoover W. Dupilumab for chronic eosinophilic pneumonia. Pediatr Pulmonol. 2020;55:3229-3230. doi:10.1002/ppul.25096

5. Simpson EL, Akinlade B, Ardeleanu M. Two phase 3 trials of dupilumab versus placebo in atopic dermatitis. N Engl J Med. 2017;376:1090-1091. doi:10.1056/NEJMc1700366

6. Menzella F, Montanari G, Patricelli G, et al. A case of chronic eosinophilic pneumonia in a patient treated with dupilumab. Ther Clin Risk Manag. 2019;15:869-875. doi:10.2147/TCRM.S207402

7. Waldman RA, DeWane ME, Sloan B, et al. Dupilumab for the treatment of dyshidrotic eczema in 15 consecutive patients. J Am Acad Dermatol. 2020;82:1251-1252. doi:10.1016/j.jaad.2019.12.053

References

1. Barbarot S, Wollenberg A, Silverberg JI, et al. Dupilumab provides rapid and sustained improvement in SCORAD outcomes in adults with moderate-to-severe atopic dermatitis: combined results ofour randomized phase 3 trials. J Dermatolog Treat. 2022;33:266-277. doi:10.1080/09546634.2020.1750550

2. Gordon SC, Robinson SN, Abudu M, et al. Eosinophilic annular erythema treated with dupilumab. Pediatr Dermatol. 2018;35:E255-E256. doi:10.1111/pde.13533

3. Callaghan DJ 3rd. Use of Google Trends to examine interest in Mohs micrographic surgery: 2004 to 2016. Dermatol Surg. 2018;44:186-192. doi:10.1097/DSS.0000000000001270

4. Fowler C, Hoover W. Dupilumab for chronic eosinophilic pneumonia. Pediatr Pulmonol. 2020;55:3229-3230. doi:10.1002/ppul.25096

5. Simpson EL, Akinlade B, Ardeleanu M. Two phase 3 trials of dupilumab versus placebo in atopic dermatitis. N Engl J Med. 2017;376:1090-1091. doi:10.1056/NEJMc1700366

6. Menzella F, Montanari G, Patricelli G, et al. A case of chronic eosinophilic pneumonia in a patient treated with dupilumab. Ther Clin Risk Manag. 2019;15:869-875. doi:10.2147/TCRM.S207402

7. Waldman RA, DeWane ME, Sloan B, et al. Dupilumab for the treatment of dyshidrotic eczema in 15 consecutive patients. J Am Acad Dermatol. 2020;82:1251-1252. doi:10.1016/j.jaad.2019.12.053

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<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>Levin Eczema</fileName> <TBEID>0C02EC06.SIG</TBEID> <TBUniqueIdentifier>NJ_0C02EC06</TBUniqueIdentifier> <newsOrJournal>Journal</newsOrJournal> <publisherName>Frontline Medical Communications Inc.</publisherName> <storyname>Dupilumab for Dyshidrotic Eczema</storyname> <articleType>1</articleType> <TBLocation>Copyfitting-CT</TBLocation> <QCDate/> <firstPublished>20231116T131349</firstPublished> <LastPublished>20231116T131350</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20231116T131349</CMSDate> <articleSource/> <facebookInfo/> <meetingNumber/> <byline>Nicole J. Levin, MD; Edward W. Seger, MD, MS; Brett C. Neill, MD</byline> <bylineText>Nicole J. Levin, MD; Edward W. Seger, MD, MS; Brett C. Neill, MD; Ting Wang, MD, PhD</bylineText> <bylineFull>Nicole J. Levin, MD; Edward W. Seger, MD, MS; Brett C. 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All rights reserved.</copyrightStatement> </publicationData> </publications_g> <publications> <term canonical="true">12</term> </publications> <sections> <term canonical="true">44</term> </sections> <topics> <term canonical="true">189</term> </topics> <links> <link> <itemClass qcode="ninat:composite"/> <altRep contenttype="application/pdf">images/18002640.pdf</altRep> <description role="drol:caption"/> <description role="drol:credit"/> </link> </links> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>Dupilumab for Dyshidrotic Eczema With Secondary Improvement in Eosinophilic Interstitial Lung Disease</title> <deck/> </itemMeta> <itemContent> <p>To the Editor:<br/><br/>Biologic medications are increasingly utilized in adults with moderate to severe atopic dermatitis (AD) that is inadequately controlled with topical medication. By targeting the IL-4 receptor alpha subunit, dupilumab inhibits the biologic effects of IL-4 and IL-13, resulting in remarkable improvement in disease and quality of life for many patients with refractory AD.<sup>1</sup></p> <p>In 2017, the US Food and Drug Administration approved dupilumab for use in AD, asthma, and chronic rhinosinusitis. However, there is evidence of the drug’s off-label efficacy in conditions such as eosinophilic annular erythema.<sup>2</sup> We present a patient with dyshidrotic eczema treated with dupilumab who experienced contemporaneous secondary improvement in chronic eosinophilic pneumonia (CEP) and interstitial lung disease (ILD). <br/><br/>A 45-year-old man was referred to our dermatology clinic for chronic hand dermatitis refractory to increasing strengths of topical corticosteroids. He had a history of progressive shortness of breath of unknown cause, which began 2 years prior, and he was being followed at our institution’s ILD clinic. Earlier pulmonary function testing revealed a restrictive pattern with interstitial infiltrates seen on chest computed tomography. A lung biopsy demonstrated features of fibrotic nonspecific interstitial pneumonitis with superimposed eosinophilic pneumonia. His pulmonary symptoms had progressively worsened; over a period of several months, the supplemental oxygen requirement had increased to 6 L at rest and 12 L upon exertion. Prednisone therapy was initiated, which alleviated respiratory symptoms; however, the patient was unable to tolerate a gradual wean of the medication, which rendered him steroid dependent at 30 mg/d. <br/><br/>Along with respiratory symptoms, the patient reported symptoms consistent with an autoimmune process, including dry eyes. Muscle weakness and tenderness also were noted. Ultimately, a diagnosis of anti–PL-7 (anti-threonyl-transfer RNA synthetase) antisynthetase syndrome was rendered by identification of anti–PL-7 antibodies and an elevated level of creatinine kinase. <br/><br/>Physical examination at our clinic revealed subtle palmar scaling on the hands and multiple small clear vesicles on the lateral aspects of the digits (Figure, A), consistent with dyshidrotic eczema. He initially was treated with clobetasol propionate ointment 0.05%. Despite adherence to this high-potency topical corticosteroid, he experienced only minimal improvement over a period of 3 months. Dupilumab was started at standard dosing—600 mg at initiation, followed by 300 mg every 2 weeks. The patient reported rapid improvement in dyshidrotic eczema over several months with near-complete resolution (Figure, B).<br/><br/>Concurrent with initiation and continued use of dupilumab, without other changes in his medication regimen, the patient noted gradual improvement in respiratory symptoms. At 6-month follow-up he reported notable improvement in respiratory function and quality of life. He then tolerated a gradual wean of prednisone to 10 mg/d, with a similar reduction in supplemental oxygen. <br/><br/>Off-label use of dupilumab for various eosinophilic conditions has shown promising efficacy. Our patient experienced improvement in CEP shortly after initiation of dupilumab, enabling weaning of prednisone, which has a well established adverse effect profile associated with long term use.<sup>3,4</sup> In comparison, dupilumab generally is well tolerated, with rare ophthalmologic complications and injection-site reactions.<sup>5</sup> <br/><br/>One case report suggested that CEP may represent a potential rare adverse effect of dupilumab initiation.<sup>6</sup> However, prior to initiation of dupilumab, that patient had poorly controlled asthma requiring frequent oral corticosteroid therapy. It is possible that CEP was subclinical prior to initiation of dupilumab and became more noticeable once the patient was weaned from corticosteroids, which had served as an indirect treatment.<sup>6</sup> Nonetheless, more research is needed to definitively establish the efficacy of dupilumab in CEP prior to more widespread use. <br/><br/>Irrespective of the potential efficacy of dupilumab for the treatment of CEP, our case highlights the growing body of evidence that dupilumab should be considered in the treatment of dyshidrotic eczema, particularly in cases refractory to topical treatment.<sup>7</sup> When a systemic medication is preferred, dupilumab likely represents an option with a relatively well-tolerated adverse effect profile compared to traditional systemic treatments for dyshidrotic eczema.</p> <h2>REFERENCES </h2> <p class="reference"> 1. Barbarot S, Wollenberg A, Silverberg JI, et al. Dupilumab provides rapid and sustained improvement in SCORAD outcomes in adults with moderate-to-severe atopic dermatitis: combined results ofour randomized phase 3 trials. <i>J Dermatolog Treat</i>. 2022;33:266-277. doi:10.1080/09546634.2020.1750550<br/><br/> 2. Gordon SC, Robinson SN, Abudu M, et al. Eosinophilic annular erythema treated with dupilumab. <i>Pediatr Dermatol</i>. 2018;35:E255-E256. <span class="citation-doi">doi:10.1111/pde.13533<br/><br/></span> 3. Callaghan DJ 3rd. Use of Google Trends to examine interest in Mohs micrographic surgery: 2004 to 2016. <i>Dermatol Surg</i>. 2018;44:186-192. <span class="citation-doi">doi:10.1097/DSS.0000000000001270<br/><br/></span> 4. Fowler C, Hoover W. Dupilumab for chronic eosinophilic pneumonia. <i>Pediatr Pulmonol</i>. 2020;55:3229-3230. <span class="citation-doi">doi:10.1002/ppul.25096<br/><br/></span> 5. Simpson EL, Akinlade B, Ardeleanu M. Two phase 3 trials of dupilumab versus placebo in atopic dermatitis. <i>N Engl J Med</i>. 2017;376:1090-1091. <span class="citation-doi">doi:10.1056/NEJMc1700366<br/><br/></span> 6. Menzella F, Montanari G, Patricelli G, et al. A case of chronic eosinophilic pneumonia in a patient treated with dupilumab. <i>Ther Clin Risk Manag</i>. 2019;15:869-875. <span class="citation-doi">doi:10.2147/TCRM.S207402<br/><br/></span> 7. Waldman RA, DeWane ME, Sloan B, et al. Dupilumab for the treatment of dyshidrotic eczema in 15 consecutive patients. <i>J Am Acad Dermatol</i>. 2020;82:1251-1252. <span class="citation-doi">doi:10.1016/j.jaad.2019.12.053</span></p> </itemContent> </newsItem> <newsItem> <itemMeta> <itemRole>bio</itemRole> <itemClass>text</itemClass> <title/> <deck/> </itemMeta> <itemContent> <p class="disclosure">From the Division of Dermatology, University of Kansas Medical Center, Kansas City. Dr. Levin also is from the Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton.</p> <p class="disclosure">The authors report no conflict of interest.<br/><br/>Correspondence: Edward W. Seger, MD, MS, Division of Dermatology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160 (ed.seger@gmail.com).<br/><br/>doi:10.12788/cutis.0899</p> </itemContent> </newsItem> <newsItem> <itemMeta> <itemRole>in</itemRole> <itemClass>text</itemClass> <title/> <deck/> </itemMeta> <itemContent> <p class="insidehead">Practice<strong> Points</strong></p> <ul class="insidebody"> <li>Dupilumab can be considered for treatment of refractory dyshidrotic eczema.</li> <li>Dupilumab may provide secondary efficacy in patients with dyshidrotic eczema who also have an eosinophilic condition such as eosinophilic pneumonia.</li> </ul> </itemContent> </newsItem> </itemSet></root>
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Practice Points

  • Dupilumab can be considered for treatment of refractory dyshidrotic eczema.
  • Dupilumab may provide secondary efficacy in patients with dyshidrotic eczema who also have an eosinophilic condition such as eosinophilic pneumonia.
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A Learning Health System Approach to Long COVID Care

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Fri, 07/15/2022 - 14:54

The Veterans Health Administration (VHA)—along with systems across the world—has spent the past 2 years continuously adapting to meet the emerging needs of persons infected with COVID-19. With the development of effective vaccines and global efforts to mitigate transmission, attention has now shifted to long COVID care as the need for further outpatient health care becomes increasingly apparent.1,2

Background

Multiple terms describe the lingering, multisystem sequelae of COVID-19 that last longer than 4 weeks: long COVID, postacute COVID-19 syndrome, post-COVID condition, postacute sequalae of COVID-19, and COVID long hauler.1,3 Common symptoms include fatigue, shortness of breath, cough, sleep disorders, brain fog or cognitive dysfunction, depression, anxiety, pain, and changes in taste or smell that impact a person’s functioning.4,5 The multisystem nature of the postacute course of COVID-19 necessitates an interdisciplinary approach to devise comprehensive and individualized care plans.6-9 Research is needed to better understand this postacute state (eg, prevalence, underlying effects, characteristics of those who experience long COVID) to establish and evaluate cost-effective treatment approaches.

Many patients who are experiencing symptoms beyond the acute course of COVID-19 have been referred to general outpatient clinics or home health, which may lack the capacity and knowledge of this novel disease to effectively manage complex long COVID cases.2,3 To address this growing need, clinicians and leadership across a variety of disciplines and settings in the VHA created a community of practice (CoP) to create a mechanism for cross-facility communication, identify gaps in long COVID care and research, and cocreate knowledge on best practices for care delivery.

In this spirit, we are embracing a learning health system (LHS) approach that uses rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care.10 Our clinically identified and data-driven objective is to provide high value health care to patients with long COVID sequalae by creating a framework to learn about this novel condition and develop innovative care models. This article provides an overview of our emerging LHS approach to the study of long COVID care that is fostering innovation and adaptability within the VHA. We describe 3 aspects of our engagement approach central to LHS: the ongoing development of a long COVID CoP dedicated to iteratively informing the bidirectional cycle of data from practice to research, results of a broad environmental scan of VHA long COVID care, and results of a survey administered to CoP members to inform ongoing needs of the community and identify early successful outcomes from participation.

 

 

Learning Health System Approach

The VHA is one of the largest integrated health care systems in the United States serving more than 9 million veterans.11 Since 2017, the VHA has articulated a vision to become an LHS that informs and improves patient-centered care through practice-based and data-driven research (eAppendix).12 During the early COVID-19 pandemic, an LHS approach in the VHA was critical to rapidly establishing a data infrastructure for disease surveillance, coordinating data-driven solutions, leveraging use of technology, collaborating across the globe to identify best practices, and implementing systematic responses (eg, policies, workforce adjustments).

fdp03907310_eappendix.png

Our long COVID CoP was developed as clinical observations and ongoing conversations with stakeholders (eg, veterans, health care practitioners [HCPs], leadership) identified a need to effectively identify and treat the growing number of veterans with long COVID. This clinical issue is compounded by the limited but emerging evidence on the clinical presentation of prolonged COVID-19 symptoms, treatment, and subsequent care pathways. The VHA’s efforts and lessons learned within the lens of an LHS are applicable to other systems confronting the complex identification and management of patients with persistent and encumbering long COVID symptoms. The VHA is building upon the LHS approach to proactively prepare for and address future clinical or public health challenges that require cross-system and sector collaborations, expediency, inclusivity, and patient/family centeredness.11

Community of Practice

As of January 25, 2022, our workgroup consisted of 128 VHA employees representing 29 VHA medical centers. Members of the multidisciplinary workgroup have diverse backgrounds with HCPs from primary care (eg, physicians, nurse practitioners), rehabilitation (eg, physical therapists), specialty care (eg, pulmonologists, physiatrists), mental health (eg, psychologists), and complementary and integrated health/Whole Health services (eg, practitoners of services such as yoga, tai chi, mindfulness, acupuncture). Members also include clinical, operations, and research leadership at local, regional, and national VHA levels. Our first objective as a large, diverse group was to establish shared goals, which included: (1) determining efficient communication pathways; (2) identifying gaps in care or research; and (3) cocreating knowledge to provide solutions to identified gaps.

Communication Mechanisms

Our first goal was to create an efficient mechanism for cross-facility communication. The initial CoP was formed in April 2021 and the first virtual meeting focused on reaching a consensus regarding the best way to communicate and proceed. We agreed to convene weekly at a consistent time, created a standard agenda template, and elected a lead facilitator of meeting proceedings. In addition, a member of the CoP recorded and took extensive meeting notes, which were later distributed to the entire CoP to accommodate varying schedules and ability to attend live meetings. Approximately 20 to 30 participants attend the meetings in real-time.

To consolidate working documents, information, and resources in one location, we created a platform to communicate via a Microsoft Teams channel. All CoP members are given access to the folders and allowed to add to the growing library of resources. Resources include clinical assessment and note templates for electronic documentation of care, site-specific process maps, relevant literature on screening and interventions identified by practice members, and meeting notes along with the recordings. A chat feature alerts CoP members to questions posed by other members. Any resources or information shared on the chat discussion are curated by CoP leaders to disseminate to all members. Importantly, this platform allowed us to communicate efficiently within the VHA organization by creating a centralized space for documents and the ability to correspond with all or select members of the CoP. Additional VHA employees can easily be referred and request access.

To increase awareness of the CoP, expand reach, and diversify perspectives, every participant was encouraged to invite colleagues and stakeholders with interest or experience in long COVID care to join. While patients are not included in this CoP, we are working closely with the VHA user experience workgroup (many members overlap) that is gathering patient and caregiver perspectives on their COVID-19 experience and long COVID care. Concurrently, CoP members and leadership facilitate communication and set up formal collaborations with other non-VHA health care systems to create an intersystem network of collaboration for long COVID care. This approach further enhances the speed at which we can work together to share lessons learned and stay up-to-date on emerging evidence surrounding long COVID care.

 

 

Identifying Gaps in Care and Research

Our second goal was to identify gaps in care or knowledge to inform future research and quality improvement initiatives, while also creating a foundation to cocreate knowledge about safe, effective care management of the novel long COVID sequelae. To translate knowledge, we must first identify and understand the gaps between the current, best available evidence and current care practices or policies impacting that delivery.13 As such, the structured meeting agenda and facilitated meeting discussions focused on understanding current clinical decision making and the evidence base. We shared VHA evidence synthesis reports and living rapid reviews on complications following COVID-19 illness (ie, major organ damage and posthospitalization health care use) that provided an objective evidence base on common long COVID complications.14,15

Since long COVID is a novel condition, we drew from literature in similar patient populations and translated that information in the context of our current knowledge of this unique syndrome. For example, we discussed the predominant and persistent symptom of fatigue post-COVID.5 In particular, the CoP discussed challenges in identifying and treating post-COVID fatigue, which is often a vague symptom with multiple or interacting etiologies that require a comprehensive, interdisciplinary approach. As such, we reviewed, adapted, and translated identification and treatment strategies from the literature on chronic fatigue syndrome to patients with post-COVID syndrome.16,17 We continue to work collaboratively and engage the appropriate stakeholders to provide input on the gaps to prioritize targeting.

Cocreate Knowledge

Our third goal was to cocreate knowledge regarding the care of patients with long COVID. To accomplish this, our structured meetings and communication pathways invited members to share experiences on the who (delivers and receives care), what (type of care or HCPs), when (identification of post-COVID and access), and how (eg, telehealth) of care to patients post-COVID. As part of the workgroup, we identified and shared resources on standardized, facility-level practices to reduce variability across the VHA system. These resources included intake/assessment forms, care processes, and batteries of tests/measures used for screening and assessment. The knowledge obtained from outside the CoP and cocreated within is being used to inform data-driven tools to support and evaluate care for patients with long COVID. As such, members of the workgroup are in the formative stages of participating in quality improvement innovation pilots to test technologies and processes designed to improve and validate long COVID care pathways. These technologies include screening tools, clinical decision support tools, and population health management technologies. In addition, we are developing a formal collaboration with the VHA Office of Research and Development to create standardized intake forms across VHA long COVID clinics to facilitate both clinical monitoring and research.

Surveys

The US Department of Veterans Affairs Central Office collaborated with our workgroup to draft an initial set of survey questions designed to understand how each VHA facility defines, identifies, and provides care to veterans experiencing post-COVID sequalae. The 41-question survey was distributed through regional directors and chief medical officers at 139 VHA facilities in August 2021. One hundred nineteen responses (86%) were received. Sixteen facilities indicated they had established programs and 26 facilities were considering a program. Our CoP had representation from the 16 facilities with established programs indicating the deep and well-connected nature of our grassroots efforts to bring together stakeholders to learn as part of a CoP.

 

 

A separate, follow-up survey generated responses from 18 facilities and identified the need to capture evolving innovations and to develop smaller workstreams (eg, best practices, electronic documentation templates, pathway for referrals, veteran engagement, outcome measures). The survey not only exposed ongoing challenges to providing long COVID care, but importantly, outlined the ways in which CoP members were leveraging community knowledge and resources to inform innovations and processes of care changes at their specific sites. Fourteen of 18 facilities with long COVID programs in place explicitly identified the CoP as a resource they have found most beneficial when employing such innovations. Specific innovations reported included changes in care delivery, engagement in active outreach with veterans and local facility, and infrastructure development to sustain local long COVID clinics (Table).

fdp03907310_t.png

Future Directions

Our CoP strives to contribute to an evidence base for long COVID care. At the system level, the CoP has the potential to impact access and continuity of care by identifying appropriate processes and ensuring that VHA patients receive outreach and an opportunity for post-COVID care. Comprehensive care requires input from HCP, clinical leadership, and operations levels. In this sense, our CoP provides an opportunity for diverse stakeholders to come together, discuss barriers to screening and delivering post-COVID care, and create an action plan to remove or lessen such barriers.18 Part of the process to remove barriers is to identify and support efficient resource allocation. Our CoP has worked to address issues in resource allocation (eg, space, personnel) for post-COVID care. For example, one facility is currently implementing interdisciplinary virtual post-COVID care. Another facility identified and restructured working assignments for psychologists who served in different capacities throughout the system to fill the need within the long COVID team.

At the HCP level, the CoP is currently developing workshops, media campaigns, written clinical resources, skills training, publications, and webinars/seminars with continuing medical education credits.19 The CoP may also provide learning and growth opportunities, such as clinical or VHA operational fellowships and research grants.

We are still in the formative stages of post-COVID care and future efforts will explore patient-centered outcomes. We are drawing on the Centers for Disease Control and Prevention’s guidance for evaluating patients with long COVID symptoms and examining the feasibility within VHA, as well as patient perspectives on post-COVID sequalae, to ensure we are selecting assessments that measure patient-centered constructs.18

Conclusions

A VHA-wide LHS approach is identifying issues related to the identification, delivery, and evaluation of long COVID care. This long COVID CoP has developed an infrastructure for communication, identified gaps in care, and cocreated knowledge related to best current practices for post-COVID care. This work is contributing to systemwide LHS efforts dedicated to creating a culture of quality care and innovation and is a process that is transferrable to other areas of care in the VHA, as well as other health care systems. The LHS approach continues to be highly relevant as we persist through the COVID-19 pandemic and reimagine a postpandemic world.

 

 

Acknowledgments

We thank all the members of the Veterans Health Administration long COVID Community of Practice who participate in the meetings and contribute to the sharing and spread of knowledge.

 

References

1. Sivan M, Halpin S, Hollingworth L, Snook N, Hickman K, Clifton I. Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community. J Rehabil Med. 2020;52(8):jrm00089. doi:10.2340/16501977-2727

2. Understanding the long-term health effects of COVID-19. EClinicalMedicine. 2020;26:100586. doi:10.1016/j.eclinm.2020.100586

3. Greenhalgh T, Knight M, A’Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. Published online August 11, 2020:m3026. doi:10.1136/bmj.m3026

4. Iwua CJ, Iwu CD, Wiysonge CS. The occurrence of long COVID: a rapid review. Pan Afr Med J. 2021;38. doi:10.11604/pamj.2021.38.65.27366

5. Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent symptoms in patients after acute COVID-19. JAMA. 2020;324(6):603-605. doi:10.1001/jama.2020.12603

6. Gemelli Against COVID-19 Post-Acute Care Study Group. Post-COVID-19 global health strategies: the need for an interdisciplinary approach. Aging Clin Exp Res. 2020;32(8):1613-1620. doi:10.1007/s40520-020-01616-x

7. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. Nat Med. 2022;28:583-590. doi:10.1038/s41591-022-01689-3

8. Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature. 2021;594:259-264. doi:10.1038/s41586-021-03553-9

9. Ayoubkhani D, Bermingham C, Pouwels KB, et al. Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study. BMJ. 2022;377:e069676. doi:10.1136/bmj-2021-069676

10. Institute of Medicine (US) Roundtable on Evidence-Based Medicine, Olsen L, Aisner D, McGinnis JM, eds. The Learning Healthcare System: Workshop Summary. Washington (DC): National Academies Press (US); 2007. doi:10.17226/11903

11. Romanelli RJ, Azar KMJ, Sudat S, Hung D, Frosch DL, Pressman AR. Learning health system in crisis: lessons from the COVID-19 pandemic. Mayo Clin Proc Innov Qual Outcomes. 2021;5(1):171-176. doi:10.1016/j.mayocpiqo.2020.10.004

12. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255

13. Kitson A, Straus SE. The knowledge-to-action cycle: identifying the gaps. CMAJ. 2010;182(2):E73-77. doi:10.1503/cmaj.081231

14. Greer N, Bart B, Billington C, et al. COVID-19 post-acute care major organ damage: a living rapid review. Updated September 2021. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid-organ-damage.pdf

15. Sharpe JA, Burke C, Gordon AM, et al. COVID-19 post-hospitalization health care utilization: a living review. Updated February 2022. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid19-post-hosp.pdf

16. Bested AC, Marshall LM. Review of Myalgic Encephalomyelitis/chronic fatigue syndrome: an evidence-based approach to diagnosis and management by clinicians. Rev Environ Health. 2015;30(4):223-249. doi:10.1515/reveh-2015-0026

17. Yancey JR, Thomas SM. Chronic fatigue syndrome: diagnosis and treatment. Am Fam Physician. 2012;86(8):741-746.

18. Kotter JP, Cohen DS. Change Leadership The Kotter Collection. Harvard Business Review Press; 2014.

19. Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Getting the word out: new approaches for disseminating public health science. J Public Health Manag Pract. 2018;24(2):102-111. doi:10.1097/PHH.0000000000000673

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Allison M. Gustavson, PT, DPT, PhDa,b; Amanda Purnell, PhDc; Marian Adly, MScc,d; Omar Awan, MDe; Norbert Bräu, MD, MBAf; Nicholas A. Braus, MDg; Mon S. Bryant, PT, PhDh; Lynn Chang, MDi; Cherina Cyborski, MDe; Babak Darvish, MDi; Larissa B. Del Piero, PhDj,k; Tammy L. Eaton, PhD, RN, FNP-BCl; Amelia Kiliveros, LMHCf; Heather Kloth, MSIPE, BSN, RN, CICg; Eric R. McNiel, AANP, FNPg; Megan A. Miller, PhDj; Alana Patrick, PT, DPTm; Patrick Powers, MDn,o; Morgan Pyne, DOp; Idelka G. Rodriguez, MDf,q; Jennifer Romesser, PsyDn; Brittany Rud, PT, DPTm; Ilana Seidel, MD, ABIHMr; Alexandria Tepper, MSc,v; Hanh Trinh, MDs; Brionn Tonkin, MDm; Johnson Vachachira, MSN, FNP-BCg; Hlee Yang, MPHt; and Joshua R. Shak, MD, PhDr,u
Correspondence: Allison Gustavson (allison.gustavson@va.gov)

aVeterans Affairs Health Care System, Minnesota; bUniversity of Minnesota, Minneapolis; cDepartment of Veterans Affairs Central Office, Washington DC; dOffice of the Chief Technology Officer, Washington DC; eWashington DC Veterans Affairs Medical Center; fJames J. Peters Veterans Affairs Medical Center, Bronx, New York; gWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin; hMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; iWest Los Angeles Veterans Affairs Health Care System, California; jPuget Sound Veterans Affairs Medical Center, Seattle, Washington; kUniversity of Washington School of Medicine, Seattle; lUniversity of Michigan, Ann Arbor; mMinneapolis Veterans Affairs Health Care System, Minnesota; nGeorge E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; oUniversity of Utah, Salt Lake City; pJames A. Haley Veterans’ Hospital, Tampa, Florida; qMount Sinai School of Medicine, New York, New York; rSan Francisco Veterans Affairs Medical Center, California; sSouth Texas Veterans Health Care System, San Antonio; tGeriatric Research Education and Clinical Center, Minneapolis Veterans Affairs Healthcare System, Minnesota; uUniversity of California San Francisco; vBooze Allen Hamilton Inc, McLean, Virginia

Author disclosures

This work is funded in part by the Veterans Health Administration Office of Academic Affiliations Advanced Fellowship in Clinical and Health Services Research (TPH 67-000) [AMG]; the Agency for Healthcare Research and Quality (AHRQ) ) and Patient-Centered Outcomes Research Institute (PCORI), grant K12HS026379 and the National Institutes of Health National Center for Advancing Translational Sciences, grant KL2TR002492; the Minneapolis Center of Innovation, Center for Care Delivery and Outcomes Research (CIN 13-406) [AMG].

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Allison M. Gustavson, PT, DPT, PhDa,b; Amanda Purnell, PhDc; Marian Adly, MScc,d; Omar Awan, MDe; Norbert Bräu, MD, MBAf; Nicholas A. Braus, MDg; Mon S. Bryant, PT, PhDh; Lynn Chang, MDi; Cherina Cyborski, MDe; Babak Darvish, MDi; Larissa B. Del Piero, PhDj,k; Tammy L. Eaton, PhD, RN, FNP-BCl; Amelia Kiliveros, LMHCf; Heather Kloth, MSIPE, BSN, RN, CICg; Eric R. McNiel, AANP, FNPg; Megan A. Miller, PhDj; Alana Patrick, PT, DPTm; Patrick Powers, MDn,o; Morgan Pyne, DOp; Idelka G. Rodriguez, MDf,q; Jennifer Romesser, PsyDn; Brittany Rud, PT, DPTm; Ilana Seidel, MD, ABIHMr; Alexandria Tepper, MSc,v; Hanh Trinh, MDs; Brionn Tonkin, MDm; Johnson Vachachira, MSN, FNP-BCg; Hlee Yang, MPHt; and Joshua R. Shak, MD, PhDr,u
Correspondence: Allison Gustavson (allison.gustavson@va.gov)

aVeterans Affairs Health Care System, Minnesota; bUniversity of Minnesota, Minneapolis; cDepartment of Veterans Affairs Central Office, Washington DC; dOffice of the Chief Technology Officer, Washington DC; eWashington DC Veterans Affairs Medical Center; fJames J. Peters Veterans Affairs Medical Center, Bronx, New York; gWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin; hMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; iWest Los Angeles Veterans Affairs Health Care System, California; jPuget Sound Veterans Affairs Medical Center, Seattle, Washington; kUniversity of Washington School of Medicine, Seattle; lUniversity of Michigan, Ann Arbor; mMinneapolis Veterans Affairs Health Care System, Minnesota; nGeorge E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; oUniversity of Utah, Salt Lake City; pJames A. Haley Veterans’ Hospital, Tampa, Florida; qMount Sinai School of Medicine, New York, New York; rSan Francisco Veterans Affairs Medical Center, California; sSouth Texas Veterans Health Care System, San Antonio; tGeriatric Research Education and Clinical Center, Minneapolis Veterans Affairs Healthcare System, Minnesota; uUniversity of California San Francisco; vBooze Allen Hamilton Inc, McLean, Virginia

Author disclosures

This work is funded in part by the Veterans Health Administration Office of Academic Affiliations Advanced Fellowship in Clinical and Health Services Research (TPH 67-000) [AMG]; the Agency for Healthcare Research and Quality (AHRQ) ) and Patient-Centered Outcomes Research Institute (PCORI), grant K12HS026379 and the National Institutes of Health National Center for Advancing Translational Sciences, grant KL2TR002492; the Minneapolis Center of Innovation, Center for Care Delivery and Outcomes Research (CIN 13-406) [AMG].

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Author and Disclosure Information

Allison M. Gustavson, PT, DPT, PhDa,b; Amanda Purnell, PhDc; Marian Adly, MScc,d; Omar Awan, MDe; Norbert Bräu, MD, MBAf; Nicholas A. Braus, MDg; Mon S. Bryant, PT, PhDh; Lynn Chang, MDi; Cherina Cyborski, MDe; Babak Darvish, MDi; Larissa B. Del Piero, PhDj,k; Tammy L. Eaton, PhD, RN, FNP-BCl; Amelia Kiliveros, LMHCf; Heather Kloth, MSIPE, BSN, RN, CICg; Eric R. McNiel, AANP, FNPg; Megan A. Miller, PhDj; Alana Patrick, PT, DPTm; Patrick Powers, MDn,o; Morgan Pyne, DOp; Idelka G. Rodriguez, MDf,q; Jennifer Romesser, PsyDn; Brittany Rud, PT, DPTm; Ilana Seidel, MD, ABIHMr; Alexandria Tepper, MSc,v; Hanh Trinh, MDs; Brionn Tonkin, MDm; Johnson Vachachira, MSN, FNP-BCg; Hlee Yang, MPHt; and Joshua R. Shak, MD, PhDr,u
Correspondence: Allison Gustavson (allison.gustavson@va.gov)

aVeterans Affairs Health Care System, Minnesota; bUniversity of Minnesota, Minneapolis; cDepartment of Veterans Affairs Central Office, Washington DC; dOffice of the Chief Technology Officer, Washington DC; eWashington DC Veterans Affairs Medical Center; fJames J. Peters Veterans Affairs Medical Center, Bronx, New York; gWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin; hMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; iWest Los Angeles Veterans Affairs Health Care System, California; jPuget Sound Veterans Affairs Medical Center, Seattle, Washington; kUniversity of Washington School of Medicine, Seattle; lUniversity of Michigan, Ann Arbor; mMinneapolis Veterans Affairs Health Care System, Minnesota; nGeorge E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; oUniversity of Utah, Salt Lake City; pJames A. Haley Veterans’ Hospital, Tampa, Florida; qMount Sinai School of Medicine, New York, New York; rSan Francisco Veterans Affairs Medical Center, California; sSouth Texas Veterans Health Care System, San Antonio; tGeriatric Research Education and Clinical Center, Minneapolis Veterans Affairs Healthcare System, Minnesota; uUniversity of California San Francisco; vBooze Allen Hamilton Inc, McLean, Virginia

Author disclosures

This work is funded in part by the Veterans Health Administration Office of Academic Affiliations Advanced Fellowship in Clinical and Health Services Research (TPH 67-000) [AMG]; the Agency for Healthcare Research and Quality (AHRQ) ) and Patient-Centered Outcomes Research Institute (PCORI), grant K12HS026379 and the National Institutes of Health National Center for Advancing Translational Sciences, grant KL2TR002492; the Minneapolis Center of Innovation, Center for Care Delivery and Outcomes Research (CIN 13-406) [AMG].

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Article PDF
Article PDF

The Veterans Health Administration (VHA)—along with systems across the world—has spent the past 2 years continuously adapting to meet the emerging needs of persons infected with COVID-19. With the development of effective vaccines and global efforts to mitigate transmission, attention has now shifted to long COVID care as the need for further outpatient health care becomes increasingly apparent.1,2

Background

Multiple terms describe the lingering, multisystem sequelae of COVID-19 that last longer than 4 weeks: long COVID, postacute COVID-19 syndrome, post-COVID condition, postacute sequalae of COVID-19, and COVID long hauler.1,3 Common symptoms include fatigue, shortness of breath, cough, sleep disorders, brain fog or cognitive dysfunction, depression, anxiety, pain, and changes in taste or smell that impact a person’s functioning.4,5 The multisystem nature of the postacute course of COVID-19 necessitates an interdisciplinary approach to devise comprehensive and individualized care plans.6-9 Research is needed to better understand this postacute state (eg, prevalence, underlying effects, characteristics of those who experience long COVID) to establish and evaluate cost-effective treatment approaches.

Many patients who are experiencing symptoms beyond the acute course of COVID-19 have been referred to general outpatient clinics or home health, which may lack the capacity and knowledge of this novel disease to effectively manage complex long COVID cases.2,3 To address this growing need, clinicians and leadership across a variety of disciplines and settings in the VHA created a community of practice (CoP) to create a mechanism for cross-facility communication, identify gaps in long COVID care and research, and cocreate knowledge on best practices for care delivery.

In this spirit, we are embracing a learning health system (LHS) approach that uses rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care.10 Our clinically identified and data-driven objective is to provide high value health care to patients with long COVID sequalae by creating a framework to learn about this novel condition and develop innovative care models. This article provides an overview of our emerging LHS approach to the study of long COVID care that is fostering innovation and adaptability within the VHA. We describe 3 aspects of our engagement approach central to LHS: the ongoing development of a long COVID CoP dedicated to iteratively informing the bidirectional cycle of data from practice to research, results of a broad environmental scan of VHA long COVID care, and results of a survey administered to CoP members to inform ongoing needs of the community and identify early successful outcomes from participation.

 

 

Learning Health System Approach

The VHA is one of the largest integrated health care systems in the United States serving more than 9 million veterans.11 Since 2017, the VHA has articulated a vision to become an LHS that informs and improves patient-centered care through practice-based and data-driven research (eAppendix).12 During the early COVID-19 pandemic, an LHS approach in the VHA was critical to rapidly establishing a data infrastructure for disease surveillance, coordinating data-driven solutions, leveraging use of technology, collaborating across the globe to identify best practices, and implementing systematic responses (eg, policies, workforce adjustments).

fdp03907310_eappendix.png

Our long COVID CoP was developed as clinical observations and ongoing conversations with stakeholders (eg, veterans, health care practitioners [HCPs], leadership) identified a need to effectively identify and treat the growing number of veterans with long COVID. This clinical issue is compounded by the limited but emerging evidence on the clinical presentation of prolonged COVID-19 symptoms, treatment, and subsequent care pathways. The VHA’s efforts and lessons learned within the lens of an LHS are applicable to other systems confronting the complex identification and management of patients with persistent and encumbering long COVID symptoms. The VHA is building upon the LHS approach to proactively prepare for and address future clinical or public health challenges that require cross-system and sector collaborations, expediency, inclusivity, and patient/family centeredness.11

Community of Practice

As of January 25, 2022, our workgroup consisted of 128 VHA employees representing 29 VHA medical centers. Members of the multidisciplinary workgroup have diverse backgrounds with HCPs from primary care (eg, physicians, nurse practitioners), rehabilitation (eg, physical therapists), specialty care (eg, pulmonologists, physiatrists), mental health (eg, psychologists), and complementary and integrated health/Whole Health services (eg, practitoners of services such as yoga, tai chi, mindfulness, acupuncture). Members also include clinical, operations, and research leadership at local, regional, and national VHA levels. Our first objective as a large, diverse group was to establish shared goals, which included: (1) determining efficient communication pathways; (2) identifying gaps in care or research; and (3) cocreating knowledge to provide solutions to identified gaps.

Communication Mechanisms

Our first goal was to create an efficient mechanism for cross-facility communication. The initial CoP was formed in April 2021 and the first virtual meeting focused on reaching a consensus regarding the best way to communicate and proceed. We agreed to convene weekly at a consistent time, created a standard agenda template, and elected a lead facilitator of meeting proceedings. In addition, a member of the CoP recorded and took extensive meeting notes, which were later distributed to the entire CoP to accommodate varying schedules and ability to attend live meetings. Approximately 20 to 30 participants attend the meetings in real-time.

To consolidate working documents, information, and resources in one location, we created a platform to communicate via a Microsoft Teams channel. All CoP members are given access to the folders and allowed to add to the growing library of resources. Resources include clinical assessment and note templates for electronic documentation of care, site-specific process maps, relevant literature on screening and interventions identified by practice members, and meeting notes along with the recordings. A chat feature alerts CoP members to questions posed by other members. Any resources or information shared on the chat discussion are curated by CoP leaders to disseminate to all members. Importantly, this platform allowed us to communicate efficiently within the VHA organization by creating a centralized space for documents and the ability to correspond with all or select members of the CoP. Additional VHA employees can easily be referred and request access.

To increase awareness of the CoP, expand reach, and diversify perspectives, every participant was encouraged to invite colleagues and stakeholders with interest or experience in long COVID care to join. While patients are not included in this CoP, we are working closely with the VHA user experience workgroup (many members overlap) that is gathering patient and caregiver perspectives on their COVID-19 experience and long COVID care. Concurrently, CoP members and leadership facilitate communication and set up formal collaborations with other non-VHA health care systems to create an intersystem network of collaboration for long COVID care. This approach further enhances the speed at which we can work together to share lessons learned and stay up-to-date on emerging evidence surrounding long COVID care.

 

 

Identifying Gaps in Care and Research

Our second goal was to identify gaps in care or knowledge to inform future research and quality improvement initiatives, while also creating a foundation to cocreate knowledge about safe, effective care management of the novel long COVID sequelae. To translate knowledge, we must first identify and understand the gaps between the current, best available evidence and current care practices or policies impacting that delivery.13 As such, the structured meeting agenda and facilitated meeting discussions focused on understanding current clinical decision making and the evidence base. We shared VHA evidence synthesis reports and living rapid reviews on complications following COVID-19 illness (ie, major organ damage and posthospitalization health care use) that provided an objective evidence base on common long COVID complications.14,15

Since long COVID is a novel condition, we drew from literature in similar patient populations and translated that information in the context of our current knowledge of this unique syndrome. For example, we discussed the predominant and persistent symptom of fatigue post-COVID.5 In particular, the CoP discussed challenges in identifying and treating post-COVID fatigue, which is often a vague symptom with multiple or interacting etiologies that require a comprehensive, interdisciplinary approach. As such, we reviewed, adapted, and translated identification and treatment strategies from the literature on chronic fatigue syndrome to patients with post-COVID syndrome.16,17 We continue to work collaboratively and engage the appropriate stakeholders to provide input on the gaps to prioritize targeting.

Cocreate Knowledge

Our third goal was to cocreate knowledge regarding the care of patients with long COVID. To accomplish this, our structured meetings and communication pathways invited members to share experiences on the who (delivers and receives care), what (type of care or HCPs), when (identification of post-COVID and access), and how (eg, telehealth) of care to patients post-COVID. As part of the workgroup, we identified and shared resources on standardized, facility-level practices to reduce variability across the VHA system. These resources included intake/assessment forms, care processes, and batteries of tests/measures used for screening and assessment. The knowledge obtained from outside the CoP and cocreated within is being used to inform data-driven tools to support and evaluate care for patients with long COVID. As such, members of the workgroup are in the formative stages of participating in quality improvement innovation pilots to test technologies and processes designed to improve and validate long COVID care pathways. These technologies include screening tools, clinical decision support tools, and population health management technologies. In addition, we are developing a formal collaboration with the VHA Office of Research and Development to create standardized intake forms across VHA long COVID clinics to facilitate both clinical monitoring and research.

Surveys

The US Department of Veterans Affairs Central Office collaborated with our workgroup to draft an initial set of survey questions designed to understand how each VHA facility defines, identifies, and provides care to veterans experiencing post-COVID sequalae. The 41-question survey was distributed through regional directors and chief medical officers at 139 VHA facilities in August 2021. One hundred nineteen responses (86%) were received. Sixteen facilities indicated they had established programs and 26 facilities were considering a program. Our CoP had representation from the 16 facilities with established programs indicating the deep and well-connected nature of our grassroots efforts to bring together stakeholders to learn as part of a CoP.

 

 

A separate, follow-up survey generated responses from 18 facilities and identified the need to capture evolving innovations and to develop smaller workstreams (eg, best practices, electronic documentation templates, pathway for referrals, veteran engagement, outcome measures). The survey not only exposed ongoing challenges to providing long COVID care, but importantly, outlined the ways in which CoP members were leveraging community knowledge and resources to inform innovations and processes of care changes at their specific sites. Fourteen of 18 facilities with long COVID programs in place explicitly identified the CoP as a resource they have found most beneficial when employing such innovations. Specific innovations reported included changes in care delivery, engagement in active outreach with veterans and local facility, and infrastructure development to sustain local long COVID clinics (Table).

fdp03907310_t.png

Future Directions

Our CoP strives to contribute to an evidence base for long COVID care. At the system level, the CoP has the potential to impact access and continuity of care by identifying appropriate processes and ensuring that VHA patients receive outreach and an opportunity for post-COVID care. Comprehensive care requires input from HCP, clinical leadership, and operations levels. In this sense, our CoP provides an opportunity for diverse stakeholders to come together, discuss barriers to screening and delivering post-COVID care, and create an action plan to remove or lessen such barriers.18 Part of the process to remove barriers is to identify and support efficient resource allocation. Our CoP has worked to address issues in resource allocation (eg, space, personnel) for post-COVID care. For example, one facility is currently implementing interdisciplinary virtual post-COVID care. Another facility identified and restructured working assignments for psychologists who served in different capacities throughout the system to fill the need within the long COVID team.

At the HCP level, the CoP is currently developing workshops, media campaigns, written clinical resources, skills training, publications, and webinars/seminars with continuing medical education credits.19 The CoP may also provide learning and growth opportunities, such as clinical or VHA operational fellowships and research grants.

We are still in the formative stages of post-COVID care and future efforts will explore patient-centered outcomes. We are drawing on the Centers for Disease Control and Prevention’s guidance for evaluating patients with long COVID symptoms and examining the feasibility within VHA, as well as patient perspectives on post-COVID sequalae, to ensure we are selecting assessments that measure patient-centered constructs.18

Conclusions

A VHA-wide LHS approach is identifying issues related to the identification, delivery, and evaluation of long COVID care. This long COVID CoP has developed an infrastructure for communication, identified gaps in care, and cocreated knowledge related to best current practices for post-COVID care. This work is contributing to systemwide LHS efforts dedicated to creating a culture of quality care and innovation and is a process that is transferrable to other areas of care in the VHA, as well as other health care systems. The LHS approach continues to be highly relevant as we persist through the COVID-19 pandemic and reimagine a postpandemic world.

 

 

Acknowledgments

We thank all the members of the Veterans Health Administration long COVID Community of Practice who participate in the meetings and contribute to the sharing and spread of knowledge.

 

The Veterans Health Administration (VHA)—along with systems across the world—has spent the past 2 years continuously adapting to meet the emerging needs of persons infected with COVID-19. With the development of effective vaccines and global efforts to mitigate transmission, attention has now shifted to long COVID care as the need for further outpatient health care becomes increasingly apparent.1,2

Background

Multiple terms describe the lingering, multisystem sequelae of COVID-19 that last longer than 4 weeks: long COVID, postacute COVID-19 syndrome, post-COVID condition, postacute sequalae of COVID-19, and COVID long hauler.1,3 Common symptoms include fatigue, shortness of breath, cough, sleep disorders, brain fog or cognitive dysfunction, depression, anxiety, pain, and changes in taste or smell that impact a person’s functioning.4,5 The multisystem nature of the postacute course of COVID-19 necessitates an interdisciplinary approach to devise comprehensive and individualized care plans.6-9 Research is needed to better understand this postacute state (eg, prevalence, underlying effects, characteristics of those who experience long COVID) to establish and evaluate cost-effective treatment approaches.

Many patients who are experiencing symptoms beyond the acute course of COVID-19 have been referred to general outpatient clinics or home health, which may lack the capacity and knowledge of this novel disease to effectively manage complex long COVID cases.2,3 To address this growing need, clinicians and leadership across a variety of disciplines and settings in the VHA created a community of practice (CoP) to create a mechanism for cross-facility communication, identify gaps in long COVID care and research, and cocreate knowledge on best practices for care delivery.

In this spirit, we are embracing a learning health system (LHS) approach that uses rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care.10 Our clinically identified and data-driven objective is to provide high value health care to patients with long COVID sequalae by creating a framework to learn about this novel condition and develop innovative care models. This article provides an overview of our emerging LHS approach to the study of long COVID care that is fostering innovation and adaptability within the VHA. We describe 3 aspects of our engagement approach central to LHS: the ongoing development of a long COVID CoP dedicated to iteratively informing the bidirectional cycle of data from practice to research, results of a broad environmental scan of VHA long COVID care, and results of a survey administered to CoP members to inform ongoing needs of the community and identify early successful outcomes from participation.

 

 

Learning Health System Approach

The VHA is one of the largest integrated health care systems in the United States serving more than 9 million veterans.11 Since 2017, the VHA has articulated a vision to become an LHS that informs and improves patient-centered care through practice-based and data-driven research (eAppendix).12 During the early COVID-19 pandemic, an LHS approach in the VHA was critical to rapidly establishing a data infrastructure for disease surveillance, coordinating data-driven solutions, leveraging use of technology, collaborating across the globe to identify best practices, and implementing systematic responses (eg, policies, workforce adjustments).

fdp03907310_eappendix.png

Our long COVID CoP was developed as clinical observations and ongoing conversations with stakeholders (eg, veterans, health care practitioners [HCPs], leadership) identified a need to effectively identify and treat the growing number of veterans with long COVID. This clinical issue is compounded by the limited but emerging evidence on the clinical presentation of prolonged COVID-19 symptoms, treatment, and subsequent care pathways. The VHA’s efforts and lessons learned within the lens of an LHS are applicable to other systems confronting the complex identification and management of patients with persistent and encumbering long COVID symptoms. The VHA is building upon the LHS approach to proactively prepare for and address future clinical or public health challenges that require cross-system and sector collaborations, expediency, inclusivity, and patient/family centeredness.11

Community of Practice

As of January 25, 2022, our workgroup consisted of 128 VHA employees representing 29 VHA medical centers. Members of the multidisciplinary workgroup have diverse backgrounds with HCPs from primary care (eg, physicians, nurse practitioners), rehabilitation (eg, physical therapists), specialty care (eg, pulmonologists, physiatrists), mental health (eg, psychologists), and complementary and integrated health/Whole Health services (eg, practitoners of services such as yoga, tai chi, mindfulness, acupuncture). Members also include clinical, operations, and research leadership at local, regional, and national VHA levels. Our first objective as a large, diverse group was to establish shared goals, which included: (1) determining efficient communication pathways; (2) identifying gaps in care or research; and (3) cocreating knowledge to provide solutions to identified gaps.

Communication Mechanisms

Our first goal was to create an efficient mechanism for cross-facility communication. The initial CoP was formed in April 2021 and the first virtual meeting focused on reaching a consensus regarding the best way to communicate and proceed. We agreed to convene weekly at a consistent time, created a standard agenda template, and elected a lead facilitator of meeting proceedings. In addition, a member of the CoP recorded and took extensive meeting notes, which were later distributed to the entire CoP to accommodate varying schedules and ability to attend live meetings. Approximately 20 to 30 participants attend the meetings in real-time.

To consolidate working documents, information, and resources in one location, we created a platform to communicate via a Microsoft Teams channel. All CoP members are given access to the folders and allowed to add to the growing library of resources. Resources include clinical assessment and note templates for electronic documentation of care, site-specific process maps, relevant literature on screening and interventions identified by practice members, and meeting notes along with the recordings. A chat feature alerts CoP members to questions posed by other members. Any resources or information shared on the chat discussion are curated by CoP leaders to disseminate to all members. Importantly, this platform allowed us to communicate efficiently within the VHA organization by creating a centralized space for documents and the ability to correspond with all or select members of the CoP. Additional VHA employees can easily be referred and request access.

To increase awareness of the CoP, expand reach, and diversify perspectives, every participant was encouraged to invite colleagues and stakeholders with interest or experience in long COVID care to join. While patients are not included in this CoP, we are working closely with the VHA user experience workgroup (many members overlap) that is gathering patient and caregiver perspectives on their COVID-19 experience and long COVID care. Concurrently, CoP members and leadership facilitate communication and set up formal collaborations with other non-VHA health care systems to create an intersystem network of collaboration for long COVID care. This approach further enhances the speed at which we can work together to share lessons learned and stay up-to-date on emerging evidence surrounding long COVID care.

 

 

Identifying Gaps in Care and Research

Our second goal was to identify gaps in care or knowledge to inform future research and quality improvement initiatives, while also creating a foundation to cocreate knowledge about safe, effective care management of the novel long COVID sequelae. To translate knowledge, we must first identify and understand the gaps between the current, best available evidence and current care practices or policies impacting that delivery.13 As such, the structured meeting agenda and facilitated meeting discussions focused on understanding current clinical decision making and the evidence base. We shared VHA evidence synthesis reports and living rapid reviews on complications following COVID-19 illness (ie, major organ damage and posthospitalization health care use) that provided an objective evidence base on common long COVID complications.14,15

Since long COVID is a novel condition, we drew from literature in similar patient populations and translated that information in the context of our current knowledge of this unique syndrome. For example, we discussed the predominant and persistent symptom of fatigue post-COVID.5 In particular, the CoP discussed challenges in identifying and treating post-COVID fatigue, which is often a vague symptom with multiple or interacting etiologies that require a comprehensive, interdisciplinary approach. As such, we reviewed, adapted, and translated identification and treatment strategies from the literature on chronic fatigue syndrome to patients with post-COVID syndrome.16,17 We continue to work collaboratively and engage the appropriate stakeholders to provide input on the gaps to prioritize targeting.

Cocreate Knowledge

Our third goal was to cocreate knowledge regarding the care of patients with long COVID. To accomplish this, our structured meetings and communication pathways invited members to share experiences on the who (delivers and receives care), what (type of care or HCPs), when (identification of post-COVID and access), and how (eg, telehealth) of care to patients post-COVID. As part of the workgroup, we identified and shared resources on standardized, facility-level practices to reduce variability across the VHA system. These resources included intake/assessment forms, care processes, and batteries of tests/measures used for screening and assessment. The knowledge obtained from outside the CoP and cocreated within is being used to inform data-driven tools to support and evaluate care for patients with long COVID. As such, members of the workgroup are in the formative stages of participating in quality improvement innovation pilots to test technologies and processes designed to improve and validate long COVID care pathways. These technologies include screening tools, clinical decision support tools, and population health management technologies. In addition, we are developing a formal collaboration with the VHA Office of Research and Development to create standardized intake forms across VHA long COVID clinics to facilitate both clinical monitoring and research.

Surveys

The US Department of Veterans Affairs Central Office collaborated with our workgroup to draft an initial set of survey questions designed to understand how each VHA facility defines, identifies, and provides care to veterans experiencing post-COVID sequalae. The 41-question survey was distributed through regional directors and chief medical officers at 139 VHA facilities in August 2021. One hundred nineteen responses (86%) were received. Sixteen facilities indicated they had established programs and 26 facilities were considering a program. Our CoP had representation from the 16 facilities with established programs indicating the deep and well-connected nature of our grassroots efforts to bring together stakeholders to learn as part of a CoP.

 

 

A separate, follow-up survey generated responses from 18 facilities and identified the need to capture evolving innovations and to develop smaller workstreams (eg, best practices, electronic documentation templates, pathway for referrals, veteran engagement, outcome measures). The survey not only exposed ongoing challenges to providing long COVID care, but importantly, outlined the ways in which CoP members were leveraging community knowledge and resources to inform innovations and processes of care changes at their specific sites. Fourteen of 18 facilities with long COVID programs in place explicitly identified the CoP as a resource they have found most beneficial when employing such innovations. Specific innovations reported included changes in care delivery, engagement in active outreach with veterans and local facility, and infrastructure development to sustain local long COVID clinics (Table).

fdp03907310_t.png

Future Directions

Our CoP strives to contribute to an evidence base for long COVID care. At the system level, the CoP has the potential to impact access and continuity of care by identifying appropriate processes and ensuring that VHA patients receive outreach and an opportunity for post-COVID care. Comprehensive care requires input from HCP, clinical leadership, and operations levels. In this sense, our CoP provides an opportunity for diverse stakeholders to come together, discuss barriers to screening and delivering post-COVID care, and create an action plan to remove or lessen such barriers.18 Part of the process to remove barriers is to identify and support efficient resource allocation. Our CoP has worked to address issues in resource allocation (eg, space, personnel) for post-COVID care. For example, one facility is currently implementing interdisciplinary virtual post-COVID care. Another facility identified and restructured working assignments for psychologists who served in different capacities throughout the system to fill the need within the long COVID team.

At the HCP level, the CoP is currently developing workshops, media campaigns, written clinical resources, skills training, publications, and webinars/seminars with continuing medical education credits.19 The CoP may also provide learning and growth opportunities, such as clinical or VHA operational fellowships and research grants.

We are still in the formative stages of post-COVID care and future efforts will explore patient-centered outcomes. We are drawing on the Centers for Disease Control and Prevention’s guidance for evaluating patients with long COVID symptoms and examining the feasibility within VHA, as well as patient perspectives on post-COVID sequalae, to ensure we are selecting assessments that measure patient-centered constructs.18

Conclusions

A VHA-wide LHS approach is identifying issues related to the identification, delivery, and evaluation of long COVID care. This long COVID CoP has developed an infrastructure for communication, identified gaps in care, and cocreated knowledge related to best current practices for post-COVID care. This work is contributing to systemwide LHS efforts dedicated to creating a culture of quality care and innovation and is a process that is transferrable to other areas of care in the VHA, as well as other health care systems. The LHS approach continues to be highly relevant as we persist through the COVID-19 pandemic and reimagine a postpandemic world.

 

 

Acknowledgments

We thank all the members of the Veterans Health Administration long COVID Community of Practice who participate in the meetings and contribute to the sharing and spread of knowledge.

 

References

1. Sivan M, Halpin S, Hollingworth L, Snook N, Hickman K, Clifton I. Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community. J Rehabil Med. 2020;52(8):jrm00089. doi:10.2340/16501977-2727

2. Understanding the long-term health effects of COVID-19. EClinicalMedicine. 2020;26:100586. doi:10.1016/j.eclinm.2020.100586

3. Greenhalgh T, Knight M, A’Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. Published online August 11, 2020:m3026. doi:10.1136/bmj.m3026

4. Iwua CJ, Iwu CD, Wiysonge CS. The occurrence of long COVID: a rapid review. Pan Afr Med J. 2021;38. doi:10.11604/pamj.2021.38.65.27366

5. Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent symptoms in patients after acute COVID-19. JAMA. 2020;324(6):603-605. doi:10.1001/jama.2020.12603

6. Gemelli Against COVID-19 Post-Acute Care Study Group. Post-COVID-19 global health strategies: the need for an interdisciplinary approach. Aging Clin Exp Res. 2020;32(8):1613-1620. doi:10.1007/s40520-020-01616-x

7. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. Nat Med. 2022;28:583-590. doi:10.1038/s41591-022-01689-3

8. Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature. 2021;594:259-264. doi:10.1038/s41586-021-03553-9

9. Ayoubkhani D, Bermingham C, Pouwels KB, et al. Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study. BMJ. 2022;377:e069676. doi:10.1136/bmj-2021-069676

10. Institute of Medicine (US) Roundtable on Evidence-Based Medicine, Olsen L, Aisner D, McGinnis JM, eds. The Learning Healthcare System: Workshop Summary. Washington (DC): National Academies Press (US); 2007. doi:10.17226/11903

11. Romanelli RJ, Azar KMJ, Sudat S, Hung D, Frosch DL, Pressman AR. Learning health system in crisis: lessons from the COVID-19 pandemic. Mayo Clin Proc Innov Qual Outcomes. 2021;5(1):171-176. doi:10.1016/j.mayocpiqo.2020.10.004

12. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255

13. Kitson A, Straus SE. The knowledge-to-action cycle: identifying the gaps. CMAJ. 2010;182(2):E73-77. doi:10.1503/cmaj.081231

14. Greer N, Bart B, Billington C, et al. COVID-19 post-acute care major organ damage: a living rapid review. Updated September 2021. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid-organ-damage.pdf

15. Sharpe JA, Burke C, Gordon AM, et al. COVID-19 post-hospitalization health care utilization: a living review. Updated February 2022. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid19-post-hosp.pdf

16. Bested AC, Marshall LM. Review of Myalgic Encephalomyelitis/chronic fatigue syndrome: an evidence-based approach to diagnosis and management by clinicians. Rev Environ Health. 2015;30(4):223-249. doi:10.1515/reveh-2015-0026

17. Yancey JR, Thomas SM. Chronic fatigue syndrome: diagnosis and treatment. Am Fam Physician. 2012;86(8):741-746.

18. Kotter JP, Cohen DS. Change Leadership The Kotter Collection. Harvard Business Review Press; 2014.

19. Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Getting the word out: new approaches for disseminating public health science. J Public Health Manag Pract. 2018;24(2):102-111. doi:10.1097/PHH.0000000000000673

References

1. Sivan M, Halpin S, Hollingworth L, Snook N, Hickman K, Clifton I. Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community. J Rehabil Med. 2020;52(8):jrm00089. doi:10.2340/16501977-2727

2. Understanding the long-term health effects of COVID-19. EClinicalMedicine. 2020;26:100586. doi:10.1016/j.eclinm.2020.100586

3. Greenhalgh T, Knight M, A’Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care. BMJ. Published online August 11, 2020:m3026. doi:10.1136/bmj.m3026

4. Iwua CJ, Iwu CD, Wiysonge CS. The occurrence of long COVID: a rapid review. Pan Afr Med J. 2021;38. doi:10.11604/pamj.2021.38.65.27366

5. Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent symptoms in patients after acute COVID-19. JAMA. 2020;324(6):603-605. doi:10.1001/jama.2020.12603

6. Gemelli Against COVID-19 Post-Acute Care Study Group. Post-COVID-19 global health strategies: the need for an interdisciplinary approach. Aging Clin Exp Res. 2020;32(8):1613-1620. doi:10.1007/s40520-020-01616-x

7. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. Nat Med. 2022;28:583-590. doi:10.1038/s41591-022-01689-3

8. Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature. 2021;594:259-264. doi:10.1038/s41586-021-03553-9

9. Ayoubkhani D, Bermingham C, Pouwels KB, et al. Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study. BMJ. 2022;377:e069676. doi:10.1136/bmj-2021-069676

10. Institute of Medicine (US) Roundtable on Evidence-Based Medicine, Olsen L, Aisner D, McGinnis JM, eds. The Learning Healthcare System: Workshop Summary. Washington (DC): National Academies Press (US); 2007. doi:10.17226/11903

11. Romanelli RJ, Azar KMJ, Sudat S, Hung D, Frosch DL, Pressman AR. Learning health system in crisis: lessons from the COVID-19 pandemic. Mayo Clin Proc Innov Qual Outcomes. 2021;5(1):171-176. doi:10.1016/j.mayocpiqo.2020.10.004

12. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. Annu Rev Public Health. 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255

13. Kitson A, Straus SE. The knowledge-to-action cycle: identifying the gaps. CMAJ. 2010;182(2):E73-77. doi:10.1503/cmaj.081231

14. Greer N, Bart B, Billington C, et al. COVID-19 post-acute care major organ damage: a living rapid review. Updated September 2021. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid-organ-damage.pdf

15. Sharpe JA, Burke C, Gordon AM, et al. COVID-19 post-hospitalization health care utilization: a living review. Updated February 2022. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid19-post-hosp.pdf

16. Bested AC, Marshall LM. Review of Myalgic Encephalomyelitis/chronic fatigue syndrome: an evidence-based approach to diagnosis and management by clinicians. Rev Environ Health. 2015;30(4):223-249. doi:10.1515/reveh-2015-0026

17. Yancey JR, Thomas SM. Chronic fatigue syndrome: diagnosis and treatment. Am Fam Physician. 2012;86(8):741-746.

18. Kotter JP, Cohen DS. Change Leadership The Kotter Collection. Harvard Business Review Press; 2014.

19. Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Getting the word out: new approaches for disseminating public health science. J Public Health Manag Pract. 2018;24(2):102-111. doi:10.1097/PHH.0000000000000673

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<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>0722 FED Long COVID</fileName> <TBEID>0C029D7F.SIG</TBEID> <TBUniqueIdentifier>NJ_0C029D7F</TBUniqueIdentifier> <newsOrJournal>Journal</newsOrJournal> <publisherName>Frontline Medical Communications Inc.</publisherName> <storyname/> <articleType>1</articleType> <TBLocation>Copyfitting-FED</TBLocation> <QCDate/> <firstPublished>20220701T140159</firstPublished> <LastPublished>20220701T140200</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20220701T140159</CMSDate> <articleSource/> <facebookInfo/> <meetingNumber/> <byline/> <bylineText>Allison M. Gustavson, PT, DPT, PhDa,b; Amanda Purnell, PhDc; Marian Adly, MScc,d; Omar Awan, MDe; Norbert Bräu, MD, MBAf; Nicholas A. Braus, MDg; Mon S. Bryant, PT, PhDh; Lynn Chang, MDi; Cherina Cyborski, MDe; Babak Darvish, MDi; Larissa B. Del Piero, PhDj,k; Tammy L. Eaton, PhD, RN, FNP-BCl; Amelia Kiliveros, LMHCf; Heather Kloth, MSIPE, BSN, RN, CICg; Eric R. McNiel, AANP, FNPg; Megan A. Miller, PhDj; Alana Patrick, PT, DPTm; Patrick Powers, MDn,o; Morgan Pyne, DOp; Idelka G. Rodriguez, MDf,q; Jennifer Romesser, PsyDn; Brittany Rud, PT, DPTm; Ilana Seidel, MD, ABIHMr; Alexandria Tepper, MSc,v; Hanh Trinh, MDs; Brionn Tonkin, MDm; Johnson Vachachira, MSN, FNP-BCg; Hlee Yang, MPHt; and Joshua R. Shak, MD, PhDr,u</bylineText> <bylineFull/> <bylineTitleText/> <USOrGlobal/> <wireDocType/> <newsDocType/> <journalDocType/> <linkLabel/> <pageRange/> <citation/> <quizID/> <indexIssueDate/> <itemClass qcode="ninat:text"/> <provider qcode="provider:"> <name/> <rightsInfo> <copyrightHolder> <name/> </copyrightHolder> <copyrightNotice/> </rightsInfo> </provider> <abstract/> <metaDescription>The Veterans Health Administration (VHA)—along with systems across the world—has spent the past 2 years continuously adapting to meet the emerging needs of pers</metaDescription> <articlePDF/> <teaserImage/> <title>A Learning Health System Approach to Long COVID Care</title> <deck/> <eyebrow>Program Profile</eyebrow> <disclaimer/> <AuthorList/> <articleURL/> <doi/> <pubMedID/> <publishXMLStatus/> <publishXMLVersion>1</publishXMLVersion> <useEISSN>0</useEISSN> <urgency/> <pubPubdateYear/> <pubPubdateMonth/> <pubPubdateDay/> <pubVolume/> <pubNumber/> <wireChannels/> <primaryCMSID/> <CMSIDs> <CMSID>3731</CMSID> </CMSIDs> <keywords/> <seeAlsos/> <publications_g> <publicationData> <publicationCode>FED</publicationCode> <pubIssueName>July 2022</pubIssueName> <pubArticleType>Departments | 3731</pubArticleType> <pubTopics/> <pubCategories/> <pubSections/> <journalTitle>Fed Pract</journalTitle> <journalFullTitle>Federal Practitioner</journalFullTitle> <copyrightStatement>Copyright 2017 Frontline Medical Communications Inc., Parsippany, NJ, USA. All rights reserved.</copyrightStatement> </publicationData> </publications_g> <publications> <term canonical="true">16</term> </publications> <sections> <term canonical="true">61535</term> </sections> <topics> <term canonical="true">63993</term> </topics> <links/> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>A Learning Health System Approach to Long COVID Care</title> <deck/> </itemMeta> <itemContent> <p class="abstract"><b>Background: </b>Global initiatives to mitigate COVID-19 transmission have shifted health system priorities to management of patients with prolonged long COVID symptoms. To better meet the needs of patients, clinicians, and systems, a learning health system approach can use rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care. <b>Observations: </b>Employees in the Veterans Health Administration formed a multidisciplinary workgroup. We sought to develop processes to learn more about this novel long COVID syndrome and innovative long COVID care models that can be applied within and outside of our health care system. We describe our workgroup processes and goals to create a mechanism for cross-facility communication, identify gaps in care and research, and cocreate knowledge on best practices for long COVID care delivery. <br/><br/><b>Conclusions: </b>The learning health system approach will be critical in reimagining health care service delivery after the COVID-19 pandemic.</p> <p><span class="Drop">T</span>he Veterans Health Administration (VHA)—along with systems across the world—has spent the past 2 years continuously adapting to meet the emerging needs of persons infected with COVID-19. With the development of effective vaccines and global efforts to mitigate transmission, attention has now shifted to long COVID care as the need for further outpatient health care becomes increasingly apparent.<sup>1,2</sup> </p> <h2>Background</h2> <p>Multiple terms describe the lingering, multisystem sequelae of COVID-19 that last longer than 4 weeks: long COVID, postacute COVID-19 syndrome, post-COVID condition, postacute sequalae of COVID-19, and COVID long hauler.<sup>1,3</sup> Common symptoms include fatigue, shortness of breath, cough, sleep disorders, brain fog or cognitive dysfunction, depression, anxiety, pain, and changes in taste or smell that impact a person’s functioning.<sup>4,5</sup> The multisystem nature of the postacute course of COVID-19 necessitates an interdisciplinary approach to devise comprehensive and individualized care plans.<sup>6-9</sup> Research is needed to better understand this postacute state (eg, prevalence, underlying effects, characteristics of those who experience long COVID) to establish and evaluate cost-effective treatment approaches.</p> <p>Many patients who are experiencing symptoms beyond the acute course of COVID-19 have been referred to general outpatient clinics or home health, which may lack the capacity and knowledge of this novel disease to effectively manage complex long COVID cases.<sup>2,3</sup> To address this growing need, clinicians and leadership across a variety of disciplines and settings in the VHA created a community of practice (CoP) to create a mechanism for cross-facility communication, identify gaps in long COVID care and research, and cocreate knowledge on best practices for care delivery. <br/><br/>In this spirit, we are embracing a learning health system (LHS) approach that uses rapid-cycle methods to integrate data and real-world experience to iteratively evaluate and adapt models of long COVID care.<sup>10</sup> Our clinically identified and data-driven objective is to provide high value health care to patients with long COVID sequalae by creating a framework to learn about this novel condition and develop innovative care models. This article provides an overview of our emerging LHS approach to the study of long COVID care that is fostering innovation and adaptability within the VHA. We describe 3 aspects of our engagement approach central to LHS: the ongoing development of a long COVID CoP dedicated to iteratively informing the bidirectional cycle of data from practice to research, results of a broad environmental scan of VHA long COVID care, and results of a survey administered to CoP members to inform ongoing needs of the community and identify early successful outcomes from participation. </p> <h3>Learning Health System Approach</h3> <p>The VHA is one of the largest integrated health care systems in the United States serving more than 9 million veterans.<sup>11</sup> Since 2017, the VHA has articulated a vision to become an LHS that informs and improves patient-centered care through practice-based and data-driven research (eAppendix available at doi:10.12788/fp.0288).<sup>12</sup> During the early COVID-19 pandemic, an LHS approach in the VHA was critical to rapidly establishing a data infrastructure for disease surveillance, coordinating data-driven solutions, leveraging use of technology, collaborating across the globe to identify best practices, and implementing systematic responses (eg, policies, workforce adjustments). </p> <p>Our long COVID CoP was developed as clinical observations and ongoing conversations with stakeholders (eg, veterans, health care practitioners [HCPs], leadership) identified a need to effectively identify and treat the growing number of veterans with long COVID. This clinical issue is compounded by the limited but emerging evidence on the clinical presentation of prolonged COVID-19 symptoms, treatment, and subsequent care pathways. The VHA’s efforts and lessons learned within the lens of an LHS are applicable to other systems confronting the complex identification and management of patients with persistent and encumbering long COVID symptoms. The VHA is building upon the LHS approach to proactively prepare for and address future clinical or public health challenges that require cross-system and sector collaborations, expediency, inclusivity, and patient/family centeredness.<sup>11</sup></p> <h2>Community of Practice </h2> <p>As of January 25, 2022, our workgroup consisted of 128 VHA employees representing 29 VHA medical centers. Members of the multidisciplinary workgroup have diverse backgrounds with HCPs from primary care (eg, physicians, nurse practitioners), rehabilitation (eg, physical therapists), specialty care (eg, pulmonologists, physiatrists), mental health (eg, psychologists), and complementary and integrated health/Whole Health services (eg, practitoners of services such as yoga, tai chi, mindfulness, acupuncture). Members also include clinical, operations, and research leadership at local, regional, and national VHA levels. Our first objective as a large, diverse group was to establish shared goals, which included: (1) determining efficient communication pathways; (2) identifying gaps in care or research; and (3) cocreating knowledge to provide solutions to identified gaps. </p> <h3>Communication Mechanisms</h3> <p>Our first goal was to create an efficient mechanism for cross-facility communication. The initial CoP was formed in April 2021 and the first virtual meeting focused on reaching a consensus regarding the best way to communicate and proceed. We agreed to convene weekly at a consistent time, created a standard agenda template, and elected a lead facilitator of meeting proceedings. In addition, a member of the CoP recorded and took extensive meeting notes, which were later distributed to the entire CoP to accommodate varying schedules and ability to attend live meetings. Approximately 20 to 30 participants attend the meetings in real-time.</p> <p>To consolidate working documents, information, and resources in one location, we created a platform to communicate via a Microsoft Teams channel. All CoP members are given access to the folders and allowed to add to the growing library of resources. Resources include clinical assessment and note templates for electronic documentation of care, site-specific process maps, relevant literature on screening and interventions identified by practice members, and meeting notes along with the recordings. A chat feature alerts CoP members to questions posed by other members. Any resources or information shared on the chat discussion are curated by CoP leaders to disseminate to all members. Importantly, this platform allowed us to communicate efficiently within the VHA organization by creating a centralized space for documents and the ability to correspond with all or select members of the CoP. Additional VHA employees can easily be referred and request access. <br/><br/>To increase awareness of the CoP, expand reach, and diversify perspectives, every participant was encouraged to invite colleagues and stakeholders with interest or experience in long COVID care to join. While patients are not included in this CoP, we are working closely with the VHA user experience workgroup (many members overlap) that is gathering patient and caregiver perspectives on their COVID-19 experience and long COVID care. Concurrently, CoP members and leadership facilitate communication and set up formal collaborations with other non-VHA health care systems to create an intersystem network of collaboration for long COVID care. This approach further enhances the speed at which we can work together to share lessons learned and stay up-to-date on emerging evidence surrounding long COVID care.</p> <h3>Identifying Gaps in Care and Research</h3> <p>Our second goal was to identify gaps in care or knowledge to inform future research and quality improvement initiatives, while also creating a foundation to cocreate knowledge about safe, effective care management of the novel long COVID sequelae. To translate knowledge, we must first identify and understand the gaps between the current, best available evidence and current care practices or policies impacting that delivery.<sup>13</sup> As such, the structured meeting agenda and facilitated meeting discussions focused on understanding current clinical decision making and the evidence base. We shared VHA evidence synthesis reports and living rapid reviews on complications following COVID-19 illness (ie, major organ damage and posthospitalization health care use) that provided an objective evidence base on common long COVID complications.<sup>14,15</sup> </p> <p>Since long COVID is a novel condition, we drew from literature in similar patient populations and translated that information in the context of our current knowledge of this unique syndrome. For example, we discussed the predominant and persistent symptom of fatigue post-COVID.<sup>5</sup> In particular, the CoP discussed challenges in identifying and treating post-COVID fatigue, which is often a vague symptom with multiple or interacting etiologies that require a comprehensive, interdisciplinary approach. As such, we reviewed, adapted, and translated identification and treatment strategies from the literature on chronic fatigue syndrome to patients with post-COVID syndrome.<sup>16,17</sup> We continue to work collaboratively and engage the appropriate stakeholders to provide input on the gaps to prioritize targeting.</p> <h3>Cocreate Knowledge</h3> <p>Our third goal was to cocreate knowledge regarding the care of patients with long COVID. To accomplish this, our structured meetings and communication pathways invited members to share experiences on the who (delivers and receives care), what (type of care or HCPs), when (identification of post-COVID and access), and how (eg, telehealth) of care to patients post-COVID. As part of the workgroup, we identified and shared resources on standardized, facility-level practices to reduce variability across the VHA system. These resources included intake/assessment forms, care processes, and batteries of tests/measures used for screening and assessment. The knowledge obtained from outside the CoP and cocreated within is being used to inform data-driven tools to support and evaluate care for patients with long COVID. As such, members of the workgroup are in the formative stages of participating in quality improvement innovation pilots to test technologies and processes designed to improve and validate long COVID care pathways. These technologies include screening tools, clinical decision support tools, and population health management technologies. In addition, we are developing a formal collaboration with the VHA Office of Research and Development to create standardized intake forms across VHA long COVID clinics to facilitate both clinical monitoring and research.</p> <h2>Surveys</h2> <p>The US Department of Veterans Affairs Central Office collaborated with our workgroup to draft an initial set of survey questions designed to understand how each VHA facility defines, identifies, and provides care to veterans experiencing post-COVID sequalae. The 41-question survey was distributed through regional directors and chief medical officers at 139 VHA facilities in August 2021. One hundred nineteen responses (86%) were received. Sixteen facilities indicated they had established programs and 26 facilities were considering a program. Our CoP had representation from the 16 facilities with established programs indicating the deep and well-connected nature of our grassroots efforts to bring together stakeholders to learn as part of a CoP. </p> <p>A separate, follow-up survey generated responses from 18 facilities and identified the need to capture evolving innovations and to develop smaller workstreams (eg, best practices, electronic documentation templates, pathway for referrals, veteran engagement, outcome measures). The survey not only exposed ongoing challenges to providing long COVID care, but importantly, outlined the ways in which CoP members were leveraging community knowledge and resources to inform innovations and processes of care changes at their specific sites. Fourteen of 18 facilities with long COVID programs in place explicitly identified the CoP as a resource they have found most beneficial when employing such innovations. Specific innovations reported included changes in care delivery, engagement in active outreach with veterans and local facility, and infrastructure development to sustain local long COVID clinics (Table). </p> <h2>Future Directions</h2> <p>Our CoP strives to contribute to an evidence base for long COVID care. At the system level, the CoP has the potential to impact access and continuity of care by identifying appropriate processes and ensuring that VHA patients receive outreach and an opportunity for post-COVID care. Comprehensive care requires input from HCP, clinical leadership, and operations levels. In this sense, our CoP provides an opportunity for diverse stakeholders to come together, discuss barriers to screening and delivering post-COVID care, and create an action plan to remove or lessen such barriers.<sup>18</sup> Part of the process to remove barriers is to identify and support efficient resource allocation. Our CoP has worked to address issues in resource allocation (eg, space, personnel) for post-COVID care. For example, one facility is currently implementing interdisciplinary virtual post-COVID care. Another facility identified and restructured working assignments for psychologists who served in different capacities throughout the system to fill the need within the long COVID team. </p> <p>At the HCP level, the CoP is currently developing workshops, media campaigns, written clinical resources, skills training, publications, and webinars/seminars with continuing medical education credits.<sup>19</sup> The CoP may also provide learning and growth opportunities, such as clinical or VHA operational fellowships and research grants. <br/><br/>We are still in the formative stages of post-COVID care and future efforts will explore patient-centered outcomes. We are drawing on the Centers for Disease Control and Prevention’s guidance for evaluating patients with long COVID symptoms and examining the feasibility within VHA, as well as patient perspectives on post-COVID sequalae, to ensure we are selecting assessments that measure patient-centered constructs.<sup>18</sup> </p> <h2>Conclusions</h2> <p>A VHA-wide LHS approach is identifying issues related to the identification, delivery, and evaluation of long COVID care. This long COVID CoP has developed an infrastructure for communication, identified gaps in care, and cocreated knowledge related to best current practices for post-COVID care. This work is contributing to systemwide LHS efforts dedicated to creating a culture of quality care and innovation and is a process that is transferrable to other areas of care in the VHA, as well as other health care systems. The LHS approach continues to be highly relevant as we persist through the COVID-19 pandemic and reimagine a postpandemic world.</p> <h3> Acknowledg<hl name="33509"/>ments </h3> <p> <em>We thank all the members of the Veterans Health Administration long COVID Community of Practice who participate in the meetings and contribute to the sharing and spread of knowledge.</em> </p> <h3> Author affiliations </h3> <p> <em><sup>a</sup>Veterans Affairs Health Care System, Minnesota; <sup>b</sup>University of Minnesota, Minneapolis; <sup>c</sup>Department of Veterans Affairs Central Office, Washington DC; <sup>d</sup>Office of the Chief Technology Officer, Washington DC; <sup>e</sup>Washington DC Veterans Affairs Medical Center; <sup>f</sup>James J. Peters Veterans Affairs Medical Center, Bronx, New York; <sup>g</sup>William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin; <sup>h</sup>Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas; <sup>i</sup>West Los Angeles Veterans Affairs Health Care System, California; <sup>j</sup>Puget Sound Veterans Affairs Medical Center, Seattle, Washington; <sup>k</sup>University of Washington School of Medicine, Seattle; <sup>l</sup>University of Michigan, Ann Arbor; <sup>m</sup>Minneapolis Veterans Affairs Health Care System, Minnesota; <sup>n</sup>George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; <sup>o</sup>University of Utah, Salt Lake City; <sup>p</sup>James A. Haley Veterans’ Hospital, Tampa, Florida; <sup>q</sup>Mount Sinai School of Medicine, New York, New York; <sup>r</sup>San Francisco Veterans Affairs Medical Center, California; <sup>s</sup>South Texas Veterans Health Care System, San Antonio; <sup>t</sup>Geriatric Research Education and Clinical Center, Minneapolis Veterans Affairs Healthcare System, Minnesota; <sup>u</sup>University of California San Francisco; <sup>v</sup>Booze Allen Hamilton Inc, McLean, Virginia</em> </p> <h3> Author disclosures </h3> <p> <em>This work is funded in part by the Veterans Health Administration Office of Academic Affiliations Advanced Fellowship in Clinical and Health Services Research (TPH 67-000) [AMG]; the Agency for Healthcare Research and Quality (AHRQ) ) and Patient-Centered Outcomes Research Institute (PCORI), grant K12HS026379 and the National Institutes of Health National Center for Advancing Translational Sciences, grant KL2TR002492; the Minneapolis Center of Innovation, Center for Care Delivery and Outcomes Research (CIN 13-406) [AMG].</em> </p> <h3> Disclaimer </h3> <p> <em>The opinions expressed herein are those of the authors and do not necessarily reflect those of <i>Federal Practitioner</i>, Frontline Medical Communications Inc., the US Government, or any of its agencies. </em> </p> <h3> References </h3> <p class="reference"> 1. Sivan M, Halpin S, Hollingworth L, Snook N, Hickman K, Clifton I. Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community. <i>J Rehabil Med</i>. 2020;52(8):jrm00089. doi:10.2340/16501977-2727<br/><br/> 2. Understanding the long-term health effects of COVID-19. <i>EClinicalMedicine</i>. 2020;26:100586. doi:10.1016/j.eclinm.2020.100586<br/><br/> 3. Greenhalgh T, Knight M, A’Court C, Buxton M, Husain L. Management of post-acute covid-19 in primary care.<i> BMJ. </i>Published online August 11, 2020:m3026. doi:10.1136/bmj.m3026<br/><br/> 4. Iwua CJ, Iwu CD, Wiysonge CS. The occurrence of long COVID: a rapid review. <i>Pan Afr Med J.</i> 2021;38. doi:10.11604/pamj.2021.38.65.27366<br/><br/> 5. Carfì A, Bernabei R, Landi F; Gemelli Against COVID-19 Post-Acute Care Study Group. Persistent symptoms in patients after acute COVID-19. <i>JAMA.</i> 2020;324(6):603-605. doi:10.1001/jama.2020.12603<br/><br/> 6. Gemelli Against COVID-19 Post-Acute Care Study Group. Post-COVID-19 global health strategies: the need for an interdisciplinary approach. <i>Aging Clin Exp Res</i>. 2020;32(8):1613-1620. doi:10.1007/s40520-020-01616-x<br/><br/> 7. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. <i>Nat Med</i>. 2022;28:583-590. doi:10.1038/s41591-022-01689-3 <br/><br/> 8. Al-Aly Z, Xie Y, Bowe B. High-dimensional characterization of post-acute sequelae of COVID-19. <i>Nature. </i>2021;594:259-264. doi:10.1038/s41586-021-03553-9<br/><br/> 9. Ayoubkhani D, Bermingham C, Pouwels KB, et al. Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study<i>. BMJ. </i>2022;377:e069676. doi:10.1136/bmj-2021-069676<br/><br/>10. Institute of Medicine (US) Roundtable on Evidence-Based Medicine, Olsen L, Aisner D, McGinnis JM, eds. <i>The Learning Healthcare System: Workshop Summary. </i>Washington (DC): National Academies Press (US); 2007. doi:10.17226/11903<br/><br/>11. Romanelli RJ, Azar KMJ, Sudat S, Hung D, Frosch DL, Pressman AR. Learning health system in crisis: lessons from the COVID-19 pandemic. <i>Mayo Clin Proc Innov Qual Outcomes. </i>2021;5(1):171-176. doi:10.1016/j.mayocpiqo.2020.10.004<br/><br/>12. Atkins D, Kilbourne AM, Shulkin D. Moving from discovery to system-wide change: the role of research in a learning health care system: experience from three decades of health systems research in the Veterans Health Administration. <i>Annu Rev Public Health.</i> 2017;38:467-487. doi:10.1146/annurev-publhealth-031816-044255<br/><br/>13. Kitson A, Straus SE. The knowledge-to-action cycle: identifying the gaps.<i> CMAJ</i>. 2010;182(2):E73-77. doi:10.1503/cmaj.081231<br/><br/>14. Greer N, Bart B, Billington C, et al. COVID-19 post-acute care major organ damage: a living rapid review. Updated September 2021. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid-organ-damage.pdf<br/><br/>15. Sharpe JA, Burke C, Gordon AM, et al. COVID-19 post-hospitalization health care utilization: a living review. Updated February 2022. Accessed May 31, 2022. https://www.hsrd.research.va.gov/publications/esp/covid19-post-hosp.pdf<br/><br/>16. Bested AC, Marshall LM. Review of Myalgic Encephalomyelitis/chronic fatigue syndrome: an evidence-based approach to diagnosis and management by clinicians. <i>Rev Environ Health.</i> 2015;30(4):223-249. doi:10.1515/reveh-2015-0026<br/><br/>17. Yancey JR, Thomas SM. Chronic fatigue syndrome: diagnosis and treatment. <i>Am Fam Physician.</i> 2012;86(8):741-746.<br/><br/>18. Kotter JP, Cohen DS.<i> Change Leadership The Kotter Collection</i>. Harvard Business Review Press; 2014.<br/><br/>19. Brownson RC, Eyler AA, Harris JK, Moore JB, Tabak RG. Getting the word out: new approaches for disseminating public health science.<i> J Public Health Manag Pract. </i>2018;24(2):102-111. doi:10.1097/PHH.0000000000000673</p> </itemContent> </newsItem> </itemSet></root>
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Headache and Covid-19: What clinicians should know

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Headache and Covid-19: What clinicians should know

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Edoardo Caronna, MD and Patricia Pozo-Rosich, MD, PhD,  Neurology Department, Hospital Universitari Vall d’Hebron, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; and Headache and Neurological Pain Research Group, Vall d’Hebron Research Institute, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. Dr. Pozo-Rosich also serves on the boards of the International Headache Society and Council of the European Headache Federation and is an editor for various peer-reviewed journals, including Cephalalgia and Headache.

 

Headache is a symptom of the coronavirus disease 2019 (Covid-19), caused by the novel, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the pandemic began, researchers have tried to describe, understand, and help clinicians manage headache in the setting of Covid-19.

The reason is simple: Headache is common, often debilitating, and difficult to treat.1

Moreover, headache could manifest both in the acute phase of the infection and, once the infection has resolved, in the post-acute phase.1 Therefore, it is critical for clinicians to know more about headache, as headache can be a common reason that patients seek help, both in the specialized and non-specialized medical care setting.

 

Definitions and manifestations

While the first step in such a communication would be to define headache attributed to Covid-19, no specific definition exists, as this is a new disease. Therefore, headache attributed to Covid-19 should be defined under the diagnostic criteria, as contained in the International Classification of Headache Disorders-3, as headache attributed to a systemic viral infection.2 As this is a secondary headache appearing with an infection, the treating physician needs to rule out possible underlying meningitis and/or encephalitis in the diagnosis. Moreover, other secondary headaches (eg, cerebral venous thrombosis) may appear, so clinicians need to carefully evaluate patients with headache during Covid-19 to detect signs or symptoms that point to other etiologies.

It is also advisable to know the clinical manifestations of headache attributed to Covid-19. Studies published so far have observed two main phenotypes of headache in the acute phase of the infection: one resembles migraine, the other, a tension-type headache.1,3 Although patients with history of migraine who contract Covid-19 report headache that is more similar to primary headache disorder,4 two relevant aspects should be considered. Namely, migraine-like features can be observed in patients without personal migraine history; and Covid-19 patients with such history may perceive that headache they experience in the infection’s acute phase differs from their usual experience, especially regarding increased severity or duration.5,6 Of note, headache can be a prodromal symptom of the SARS-CoV-2 infection.1

 

Evolution of a headache

 Because headache appearing after the acute phase of the infection can persist, often manifesting migraine-like features, it is inordinately helpful for clinicians to know its evolution.1 This persistent headache, sometimes referred to as post-covid headache, is not aptly named because the post-covid headache is not just one type of headache, but instead can manifest as different headache types.

 A recently published case series in Headache discussed three Covid patients who all experienced persistent headache during the infection’s post-acute phase.7 These patients experienced a migraine-like phenotype as have others with mild Covid-19, but their personal history of migraine, as well as their experience with Covid-19 related headache, were substantially different. Some patients had personal migraine history while others did not; some patients experienced no headache in the acute phase but did so in the post-acute phase; and the concomitant symptoms of the post-acute phase, such as insomnia, memory loss, dizziness, fatigue, and brain fog, were differentially expressed by patients.7 

 This case series introduces the concept that patients with no prior history of migraine or any other primary headache disorder can develop a de novo headache because of their SARS-CoV-2 infection. Moreover, it could manifest as a new daily persistent headache. And patients with personal history of migraine may experience sudden chronification in their headache’s characteristics, rather than develop a new type of headache.7

 In another study, soon to be published in Cephalalgia, researchers observed that the median duration of headache in the acute phase is 2 weeks. This multicenter Spanish study, in which data on headache duration were available for 874 patients, found that 16% of these particular patients had persistent headache after 9 months. According to this study, headache that does not resolve within the first 3 months is less likely to do so later on.

 

Treatment

For clinicians, the significance of these findings is straightforward: Patients with headache experienced in the infection’s acute phase that does not seem to resolve post-infection requires continued medical attention. Patients should be monitored, carefully managed, and treated to avoid the onset of a persisting headache. This applies to patients with or without personal migraine history.

But which treatments should be prescribed? As there are no specific therapies for headache attributed to Covid-19, either in the acute or post-acute phase of the infection, clinicians must turn to existing therapies.

As with patients with migraine, patients with persistent headache post-Covid infection need a headache prevention strategy.

The strategy should be based on the following principles:

  • treat headache
  • treat comorbidities including mood disorders,  insomnia, and so on
  • avoid complications such as medication overuse, which may be very common in these patients.

Acute medications

Despite the lack of specific literature on this matter, migraine-like phenotypes may respond to triptans and probably, where available, lasmiditan and gepants. These medications probably represent a therapeutic option for Covid patients with headache, but before prescribing them clinicians should carefully evaluate their use.

Before deciding on the prescription, clinicians should consider not only the medications’ most common contraindications, but also those that are related to Covid-19: the phase of the infection (acute/post-acute); the infection’s severity; and the presence of other Covid-related health problems. The concerns over the use of nonsteroidal anti-inflammatory medications (NSAIDs) and corticosteroids, raised when the pandemic first struck, have greatly dissipated.8,9 Some patients with prolonged headache may benefit from a brief cycle of corticosteroids, similar to the treatment given to those patients with status migrainosus. Nerve blocks could also be considered.

 

Preventive medications

Drugs can be prescribed according to the headache phenotype too, but there are no published studies that specifically evaluate headache prevention treatments in patients with persistent headache post-infection. The case series mentioned earlier in this article recorded that patients whose headaches were treated with amitriptyline and onabotulinumtoxinA had reported variable treatment responses to this regimen, according to the patients’ characteristics.7

However, one important question regarding the safety of Covid patients with migraine – specifically patients on preventive treatments during the infection’s acute phase – has been somewhat resolved.

Medications such as renin-angiotensin system (RAS) blockers, suspected of possible involvement in the SARs-CoV-2 pathogenicity, seem to be safe.8,10 And, in another multicenter Spanish study, researchers found that the use of anti-CGRP monoclonal antibodies did not seem to be associated with worse Covid-19 outcomes despite the possible implication of CGRP in modulating inflammatory responses during a viral infection.11

The study of anti-CGRP monoclonal antibodies could be important in the future for another reason: To see whether these medications could be effective as a preventive treatment in patients with persistent headache after Covid-19, regardless of whether these patients have personal migraine history.

An interesting and important message to close this article. Although headache experienced in the infection’s acute phase could be extremely disabling for patients, the evidence points to the presence of headache as a marker of a better Covid-19 prognosis, in terms of a shorter infection period and a lower risk of mortality among hospitalized patients.1,3,12  

This brief communication contains current information to help clinicians treat and inform their patients with Covid-sourced headache. Yet, we must keep in mind that the majority of the data reported here and published in the literature refer to studies conducted during the first wave of the pandemic. The emergence of new SARS-CoV-2 variants and vaccines have enormously changed the disease’s clinical presentation and course, so future studies are warranted to re-assess the validity of these findings under new conditions.

 

References

References

 1.      Caronna E, Ballvé A, Llauradó A, Gallardo VJ, et al. Headache: A striking prodromal and persistent symptom, predictive of COVID-19 clinical evolution. Cephalalgia. 2020; Nov;40(13):1410-1421.

2.        Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018; Jan;38(1):1-211.

3.        Trigo J, García-Azorín D, Planchuelo-Gómez Á, et al. Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: A retrospective cohort study. J Headache Pain. 2020;21(1):94. https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01165-8

4.        Porta-Etessam J, Matías-Guiu JA, González-García N, et al. Spectrum of Headaches Associated With SARS-CoV-2 Infection: Study of Healthcare Professionals. Headache. 2020;60(8):1697–1704.

5.        Singh J, Ali A. Headache as the Presenting Symptom in 2 Patients With COVID-19 and a History of Migraine: 2 Case Reports. Headache. 2020;60(8):1773–1776.

6.        Membrilla JA, de Lorenzo Í, Sastre M, Díaz de Terán J. Headache as a Cardinal Symptom of Coronavirus Disease 2019: A Cross-Sectional Study. Headache. 2020; Nov;60(10):2176-2191.

7.        Caronna E, Alpuente A, Torres-Ferrus M, Pozo-Rosich P. Toward a better understanding of persistent headache after mild COVID-19: Three migraine-like yet distinct scenarios. Headache. 2021. https://doi.org/10.1111/head.14197

8.        Maassenvandenbrink A, De Vries T, Danser AHJ. Headache medication and the COVID-19 pandemic. J Headache Pain. 2020;21(1). https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01106-5

9.        Arca KN, Smith JH, Chiang CC, et al. COVID-19 and Headache Medicine: A Narrative Review of Non-Steroidal Anti-Inflammatory Drug (NSAID) and Corticosteroid Use. Headache. 2020; Sep;60(8): 1558–1568.

10.    Hippisley-Cox J, Young D, Coupland C, et al. Risk of severe COVID-19 disease with ACE inhibitors and angiotensin receptor blockers: Cohort study including 8.3 million people. Heart. 2020;Oct;106(19):1503-1511.

11.    Caronna E, José Gallardo V, Alpuente A, Torres-Ferrus M, Sánchez-Mateo NM, Viguera-Romero J, et al. Safety of anti-CGRP monoclonal antibodies in patients with migraine during the COVID-19 pandemic: Present and future implications. Neurologia. 2021; Mar 19;36(8):611-617.

12.    Gonzalez-Martinez A, Fanjul V, Ramos C, Serrano Ballesteros J, et al. Headache during SARS-CoV-2 infection as an early symptom associated with a more benign course of disease: a case–control study. Eur J Neurol. 2021;28(10):3426–36.

 

 

 


 

 

 

Author and Disclosure Information

Dr Caronna has received honoraria from Novartis and Chiesi.

Dr Pozo-Rosich reports having consulted/spoken/conducted clinical trials and/or received research grants from:  Alder, Allergan-AbbVie, Almirall, Amgen, Biohaven, Chiesi, Electrocore, Eli Lilly, Medscape, Neurodiem, Novartis and Teva.

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Author and Disclosure Information

Dr Caronna has received honoraria from Novartis and Chiesi.

Dr Pozo-Rosich reports having consulted/spoken/conducted clinical trials and/or received research grants from:  Alder, Allergan-AbbVie, Almirall, Amgen, Biohaven, Chiesi, Electrocore, Eli Lilly, Medscape, Neurodiem, Novartis and Teva.

Author and Disclosure Information

Dr Caronna has received honoraria from Novartis and Chiesi.

Dr Pozo-Rosich reports having consulted/spoken/conducted clinical trials and/or received research grants from:  Alder, Allergan-AbbVie, Almirall, Amgen, Biohaven, Chiesi, Electrocore, Eli Lilly, Medscape, Neurodiem, Novartis and Teva.

icymi_migraine_pozorosich_headshot.jpg
icymi_migraine_edoardocaronna_headshot.jpeg

 

Edoardo Caronna, MD and Patricia Pozo-Rosich, MD, PhD,  Neurology Department, Hospital Universitari Vall d’Hebron, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; and Headache and Neurological Pain Research Group, Vall d’Hebron Research Institute, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. Dr. Pozo-Rosich also serves on the boards of the International Headache Society and Council of the European Headache Federation and is an editor for various peer-reviewed journals, including Cephalalgia and Headache.

 

Headache is a symptom of the coronavirus disease 2019 (Covid-19), caused by the novel, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the pandemic began, researchers have tried to describe, understand, and help clinicians manage headache in the setting of Covid-19.

The reason is simple: Headache is common, often debilitating, and difficult to treat.1

Moreover, headache could manifest both in the acute phase of the infection and, once the infection has resolved, in the post-acute phase.1 Therefore, it is critical for clinicians to know more about headache, as headache can be a common reason that patients seek help, both in the specialized and non-specialized medical care setting.

 

Definitions and manifestations

While the first step in such a communication would be to define headache attributed to Covid-19, no specific definition exists, as this is a new disease. Therefore, headache attributed to Covid-19 should be defined under the diagnostic criteria, as contained in the International Classification of Headache Disorders-3, as headache attributed to a systemic viral infection.2 As this is a secondary headache appearing with an infection, the treating physician needs to rule out possible underlying meningitis and/or encephalitis in the diagnosis. Moreover, other secondary headaches (eg, cerebral venous thrombosis) may appear, so clinicians need to carefully evaluate patients with headache during Covid-19 to detect signs or symptoms that point to other etiologies.

It is also advisable to know the clinical manifestations of headache attributed to Covid-19. Studies published so far have observed two main phenotypes of headache in the acute phase of the infection: one resembles migraine, the other, a tension-type headache.1,3 Although patients with history of migraine who contract Covid-19 report headache that is more similar to primary headache disorder,4 two relevant aspects should be considered. Namely, migraine-like features can be observed in patients without personal migraine history; and Covid-19 patients with such history may perceive that headache they experience in the infection’s acute phase differs from their usual experience, especially regarding increased severity or duration.5,6 Of note, headache can be a prodromal symptom of the SARS-CoV-2 infection.1

 

Evolution of a headache

 Because headache appearing after the acute phase of the infection can persist, often manifesting migraine-like features, it is inordinately helpful for clinicians to know its evolution.1 This persistent headache, sometimes referred to as post-covid headache, is not aptly named because the post-covid headache is not just one type of headache, but instead can manifest as different headache types.

 A recently published case series in Headache discussed three Covid patients who all experienced persistent headache during the infection’s post-acute phase.7 These patients experienced a migraine-like phenotype as have others with mild Covid-19, but their personal history of migraine, as well as their experience with Covid-19 related headache, were substantially different. Some patients had personal migraine history while others did not; some patients experienced no headache in the acute phase but did so in the post-acute phase; and the concomitant symptoms of the post-acute phase, such as insomnia, memory loss, dizziness, fatigue, and brain fog, were differentially expressed by patients.7 

 This case series introduces the concept that patients with no prior history of migraine or any other primary headache disorder can develop a de novo headache because of their SARS-CoV-2 infection. Moreover, it could manifest as a new daily persistent headache. And patients with personal history of migraine may experience sudden chronification in their headache’s characteristics, rather than develop a new type of headache.7

 In another study, soon to be published in Cephalalgia, researchers observed that the median duration of headache in the acute phase is 2 weeks. This multicenter Spanish study, in which data on headache duration were available for 874 patients, found that 16% of these particular patients had persistent headache after 9 months. According to this study, headache that does not resolve within the first 3 months is less likely to do so later on.

 

Treatment

For clinicians, the significance of these findings is straightforward: Patients with headache experienced in the infection’s acute phase that does not seem to resolve post-infection requires continued medical attention. Patients should be monitored, carefully managed, and treated to avoid the onset of a persisting headache. This applies to patients with or without personal migraine history.

But which treatments should be prescribed? As there are no specific therapies for headache attributed to Covid-19, either in the acute or post-acute phase of the infection, clinicians must turn to existing therapies.

As with patients with migraine, patients with persistent headache post-Covid infection need a headache prevention strategy.

The strategy should be based on the following principles:

  • treat headache
  • treat comorbidities including mood disorders,  insomnia, and so on
  • avoid complications such as medication overuse, which may be very common in these patients.

Acute medications

Despite the lack of specific literature on this matter, migraine-like phenotypes may respond to triptans and probably, where available, lasmiditan and gepants. These medications probably represent a therapeutic option for Covid patients with headache, but before prescribing them clinicians should carefully evaluate their use.

Before deciding on the prescription, clinicians should consider not only the medications’ most common contraindications, but also those that are related to Covid-19: the phase of the infection (acute/post-acute); the infection’s severity; and the presence of other Covid-related health problems. The concerns over the use of nonsteroidal anti-inflammatory medications (NSAIDs) and corticosteroids, raised when the pandemic first struck, have greatly dissipated.8,9 Some patients with prolonged headache may benefit from a brief cycle of corticosteroids, similar to the treatment given to those patients with status migrainosus. Nerve blocks could also be considered.

 

Preventive medications

Drugs can be prescribed according to the headache phenotype too, but there are no published studies that specifically evaluate headache prevention treatments in patients with persistent headache post-infection. The case series mentioned earlier in this article recorded that patients whose headaches were treated with amitriptyline and onabotulinumtoxinA had reported variable treatment responses to this regimen, according to the patients’ characteristics.7

However, one important question regarding the safety of Covid patients with migraine – specifically patients on preventive treatments during the infection’s acute phase – has been somewhat resolved.

Medications such as renin-angiotensin system (RAS) blockers, suspected of possible involvement in the SARs-CoV-2 pathogenicity, seem to be safe.8,10 And, in another multicenter Spanish study, researchers found that the use of anti-CGRP monoclonal antibodies did not seem to be associated with worse Covid-19 outcomes despite the possible implication of CGRP in modulating inflammatory responses during a viral infection.11

The study of anti-CGRP monoclonal antibodies could be important in the future for another reason: To see whether these medications could be effective as a preventive treatment in patients with persistent headache after Covid-19, regardless of whether these patients have personal migraine history.

An interesting and important message to close this article. Although headache experienced in the infection’s acute phase could be extremely disabling for patients, the evidence points to the presence of headache as a marker of a better Covid-19 prognosis, in terms of a shorter infection period and a lower risk of mortality among hospitalized patients.1,3,12  

This brief communication contains current information to help clinicians treat and inform their patients with Covid-sourced headache. Yet, we must keep in mind that the majority of the data reported here and published in the literature refer to studies conducted during the first wave of the pandemic. The emergence of new SARS-CoV-2 variants and vaccines have enormously changed the disease’s clinical presentation and course, so future studies are warranted to re-assess the validity of these findings under new conditions.

 

icymi_migraine_pozorosich_headshot.jpg
icymi_migraine_edoardocaronna_headshot.jpeg

 

Edoardo Caronna, MD and Patricia Pozo-Rosich, MD, PhD,  Neurology Department, Hospital Universitari Vall d’Hebron, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; and Headache and Neurological Pain Research Group, Vall d’Hebron Research Institute, Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. Dr. Pozo-Rosich also serves on the boards of the International Headache Society and Council of the European Headache Federation and is an editor for various peer-reviewed journals, including Cephalalgia and Headache.

 

Headache is a symptom of the coronavirus disease 2019 (Covid-19), caused by the novel, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the pandemic began, researchers have tried to describe, understand, and help clinicians manage headache in the setting of Covid-19.

The reason is simple: Headache is common, often debilitating, and difficult to treat.1

Moreover, headache could manifest both in the acute phase of the infection and, once the infection has resolved, in the post-acute phase.1 Therefore, it is critical for clinicians to know more about headache, as headache can be a common reason that patients seek help, both in the specialized and non-specialized medical care setting.

 

Definitions and manifestations

While the first step in such a communication would be to define headache attributed to Covid-19, no specific definition exists, as this is a new disease. Therefore, headache attributed to Covid-19 should be defined under the diagnostic criteria, as contained in the International Classification of Headache Disorders-3, as headache attributed to a systemic viral infection.2 As this is a secondary headache appearing with an infection, the treating physician needs to rule out possible underlying meningitis and/or encephalitis in the diagnosis. Moreover, other secondary headaches (eg, cerebral venous thrombosis) may appear, so clinicians need to carefully evaluate patients with headache during Covid-19 to detect signs or symptoms that point to other etiologies.

It is also advisable to know the clinical manifestations of headache attributed to Covid-19. Studies published so far have observed two main phenotypes of headache in the acute phase of the infection: one resembles migraine, the other, a tension-type headache.1,3 Although patients with history of migraine who contract Covid-19 report headache that is more similar to primary headache disorder,4 two relevant aspects should be considered. Namely, migraine-like features can be observed in patients without personal migraine history; and Covid-19 patients with such history may perceive that headache they experience in the infection’s acute phase differs from their usual experience, especially regarding increased severity or duration.5,6 Of note, headache can be a prodromal symptom of the SARS-CoV-2 infection.1

 

Evolution of a headache

 Because headache appearing after the acute phase of the infection can persist, often manifesting migraine-like features, it is inordinately helpful for clinicians to know its evolution.1 This persistent headache, sometimes referred to as post-covid headache, is not aptly named because the post-covid headache is not just one type of headache, but instead can manifest as different headache types.

 A recently published case series in Headache discussed three Covid patients who all experienced persistent headache during the infection’s post-acute phase.7 These patients experienced a migraine-like phenotype as have others with mild Covid-19, but their personal history of migraine, as well as their experience with Covid-19 related headache, were substantially different. Some patients had personal migraine history while others did not; some patients experienced no headache in the acute phase but did so in the post-acute phase; and the concomitant symptoms of the post-acute phase, such as insomnia, memory loss, dizziness, fatigue, and brain fog, were differentially expressed by patients.7 

 This case series introduces the concept that patients with no prior history of migraine or any other primary headache disorder can develop a de novo headache because of their SARS-CoV-2 infection. Moreover, it could manifest as a new daily persistent headache. And patients with personal history of migraine may experience sudden chronification in their headache’s characteristics, rather than develop a new type of headache.7

 In another study, soon to be published in Cephalalgia, researchers observed that the median duration of headache in the acute phase is 2 weeks. This multicenter Spanish study, in which data on headache duration were available for 874 patients, found that 16% of these particular patients had persistent headache after 9 months. According to this study, headache that does not resolve within the first 3 months is less likely to do so later on.

 

Treatment

For clinicians, the significance of these findings is straightforward: Patients with headache experienced in the infection’s acute phase that does not seem to resolve post-infection requires continued medical attention. Patients should be monitored, carefully managed, and treated to avoid the onset of a persisting headache. This applies to patients with or without personal migraine history.

But which treatments should be prescribed? As there are no specific therapies for headache attributed to Covid-19, either in the acute or post-acute phase of the infection, clinicians must turn to existing therapies.

As with patients with migraine, patients with persistent headache post-Covid infection need a headache prevention strategy.

The strategy should be based on the following principles:

  • treat headache
  • treat comorbidities including mood disorders,  insomnia, and so on
  • avoid complications such as medication overuse, which may be very common in these patients.

Acute medications

Despite the lack of specific literature on this matter, migraine-like phenotypes may respond to triptans and probably, where available, lasmiditan and gepants. These medications probably represent a therapeutic option for Covid patients with headache, but before prescribing them clinicians should carefully evaluate their use.

Before deciding on the prescription, clinicians should consider not only the medications’ most common contraindications, but also those that are related to Covid-19: the phase of the infection (acute/post-acute); the infection’s severity; and the presence of other Covid-related health problems. The concerns over the use of nonsteroidal anti-inflammatory medications (NSAIDs) and corticosteroids, raised when the pandemic first struck, have greatly dissipated.8,9 Some patients with prolonged headache may benefit from a brief cycle of corticosteroids, similar to the treatment given to those patients with status migrainosus. Nerve blocks could also be considered.

 

Preventive medications

Drugs can be prescribed according to the headache phenotype too, but there are no published studies that specifically evaluate headache prevention treatments in patients with persistent headache post-infection. The case series mentioned earlier in this article recorded that patients whose headaches were treated with amitriptyline and onabotulinumtoxinA had reported variable treatment responses to this regimen, according to the patients’ characteristics.7

However, one important question regarding the safety of Covid patients with migraine – specifically patients on preventive treatments during the infection’s acute phase – has been somewhat resolved.

Medications such as renin-angiotensin system (RAS) blockers, suspected of possible involvement in the SARs-CoV-2 pathogenicity, seem to be safe.8,10 And, in another multicenter Spanish study, researchers found that the use of anti-CGRP monoclonal antibodies did not seem to be associated with worse Covid-19 outcomes despite the possible implication of CGRP in modulating inflammatory responses during a viral infection.11

The study of anti-CGRP monoclonal antibodies could be important in the future for another reason: To see whether these medications could be effective as a preventive treatment in patients with persistent headache after Covid-19, regardless of whether these patients have personal migraine history.

An interesting and important message to close this article. Although headache experienced in the infection’s acute phase could be extremely disabling for patients, the evidence points to the presence of headache as a marker of a better Covid-19 prognosis, in terms of a shorter infection period and a lower risk of mortality among hospitalized patients.1,3,12  

This brief communication contains current information to help clinicians treat and inform their patients with Covid-sourced headache. Yet, we must keep in mind that the majority of the data reported here and published in the literature refer to studies conducted during the first wave of the pandemic. The emergence of new SARS-CoV-2 variants and vaccines have enormously changed the disease’s clinical presentation and course, so future studies are warranted to re-assess the validity of these findings under new conditions.

 

References

References

 1.      Caronna E, Ballvé A, Llauradó A, Gallardo VJ, et al. Headache: A striking prodromal and persistent symptom, predictive of COVID-19 clinical evolution. Cephalalgia. 2020; Nov;40(13):1410-1421.

2.        Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018; Jan;38(1):1-211.

3.        Trigo J, García-Azorín D, Planchuelo-Gómez Á, et al. Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: A retrospective cohort study. J Headache Pain. 2020;21(1):94. https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01165-8

4.        Porta-Etessam J, Matías-Guiu JA, González-García N, et al. Spectrum of Headaches Associated With SARS-CoV-2 Infection: Study of Healthcare Professionals. Headache. 2020;60(8):1697–1704.

5.        Singh J, Ali A. Headache as the Presenting Symptom in 2 Patients With COVID-19 and a History of Migraine: 2 Case Reports. Headache. 2020;60(8):1773–1776.

6.        Membrilla JA, de Lorenzo Í, Sastre M, Díaz de Terán J. Headache as a Cardinal Symptom of Coronavirus Disease 2019: A Cross-Sectional Study. Headache. 2020; Nov;60(10):2176-2191.

7.        Caronna E, Alpuente A, Torres-Ferrus M, Pozo-Rosich P. Toward a better understanding of persistent headache after mild COVID-19: Three migraine-like yet distinct scenarios. Headache. 2021. https://doi.org/10.1111/head.14197

8.        Maassenvandenbrink A, De Vries T, Danser AHJ. Headache medication and the COVID-19 pandemic. J Headache Pain. 2020;21(1). https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01106-5

9.        Arca KN, Smith JH, Chiang CC, et al. COVID-19 and Headache Medicine: A Narrative Review of Non-Steroidal Anti-Inflammatory Drug (NSAID) and Corticosteroid Use. Headache. 2020; Sep;60(8): 1558–1568.

10.    Hippisley-Cox J, Young D, Coupland C, et al. Risk of severe COVID-19 disease with ACE inhibitors and angiotensin receptor blockers: Cohort study including 8.3 million people. Heart. 2020;Oct;106(19):1503-1511.

11.    Caronna E, José Gallardo V, Alpuente A, Torres-Ferrus M, Sánchez-Mateo NM, Viguera-Romero J, et al. Safety of anti-CGRP monoclonal antibodies in patients with migraine during the COVID-19 pandemic: Present and future implications. Neurologia. 2021; Mar 19;36(8):611-617.

12.    Gonzalez-Martinez A, Fanjul V, Ramos C, Serrano Ballesteros J, et al. Headache during SARS-CoV-2 infection as an early symptom associated with a more benign course of disease: a case–control study. Eur J Neurol. 2021;28(10):3426–36.

 

 

 


 

 

 

References

References

 1.      Caronna E, Ballvé A, Llauradó A, Gallardo VJ, et al. Headache: A striking prodromal and persistent symptom, predictive of COVID-19 clinical evolution. Cephalalgia. 2020; Nov;40(13):1410-1421.

2.        Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 2018; Jan;38(1):1-211.

3.        Trigo J, García-Azorín D, Planchuelo-Gómez Á, et al. Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: A retrospective cohort study. J Headache Pain. 2020;21(1):94. https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01165-8

4.        Porta-Etessam J, Matías-Guiu JA, González-García N, et al. Spectrum of Headaches Associated With SARS-CoV-2 Infection: Study of Healthcare Professionals. Headache. 2020;60(8):1697–1704.

5.        Singh J, Ali A. Headache as the Presenting Symptom in 2 Patients With COVID-19 and a History of Migraine: 2 Case Reports. Headache. 2020;60(8):1773–1776.

6.        Membrilla JA, de Lorenzo Í, Sastre M, Díaz de Terán J. Headache as a Cardinal Symptom of Coronavirus Disease 2019: A Cross-Sectional Study. Headache. 2020; Nov;60(10):2176-2191.

7.        Caronna E, Alpuente A, Torres-Ferrus M, Pozo-Rosich P. Toward a better understanding of persistent headache after mild COVID-19: Three migraine-like yet distinct scenarios. Headache. 2021. https://doi.org/10.1111/head.14197

8.        Maassenvandenbrink A, De Vries T, Danser AHJ. Headache medication and the COVID-19 pandemic. J Headache Pain. 2020;21(1). https://thejournalofheadacheandpain.biomedcentral.com/articles/10.1186/s10194-020-01106-5

9.        Arca KN, Smith JH, Chiang CC, et al. COVID-19 and Headache Medicine: A Narrative Review of Non-Steroidal Anti-Inflammatory Drug (NSAID) and Corticosteroid Use. Headache. 2020; Sep;60(8): 1558–1568.

10.    Hippisley-Cox J, Young D, Coupland C, et al. Risk of severe COVID-19 disease with ACE inhibitors and angiotensin receptor blockers: Cohort study including 8.3 million people. Heart. 2020;Oct;106(19):1503-1511.

11.    Caronna E, José Gallardo V, Alpuente A, Torres-Ferrus M, Sánchez-Mateo NM, Viguera-Romero J, et al. Safety of anti-CGRP monoclonal antibodies in patients with migraine during the COVID-19 pandemic: Present and future implications. Neurologia. 2021; Mar 19;36(8):611-617.

12.    Gonzalez-Martinez A, Fanjul V, Ramos C, Serrano Ballesteros J, et al. Headache during SARS-CoV-2 infection as an early symptom associated with a more benign course of disease: a case–control study. Eur J Neurol. 2021;28(10):3426–36.

 

 

 


 

 

 

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Patients with CLL have significantly reduced response to COVID-19 vaccine 

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Patients with chronic lymphocytic leukemia (CLL) have increased risk for severe COVID-19 disease as well as mortality.

coronavirus_vaccine_web.jpg

Such patients are likely to have compromised immune systems, making them respond poorly to vaccines, as has been seen in studies involving pneumococcal, hepatitis B, and influenza A and B vaccination. 

In order to determine if vaccination against COVID-19 disease will be effective among these patients, researchers performed a study to determine the efficacy of a single COVID-19 vaccine in patients with CLL. They found that the response rate of patients with CLL to vaccination was significantly lower than that of healthy controls, according to the study published in Blood Advances.

Study details

The study (NCT04746092) assessed the humoral immune responses to BNT162b2 mRNA COVID-19 (Pfizer) vaccination in adult patients with CLL and compared responses with those obtained in age-matched healthy controls. Patients received two vaccine doses, 21 days apart, and antibody titers were measured 2-3 weeks after administration of the second dose, according to Yair Herishanu, MD, of the Tel-Aviv Sourasky Medical Center, Tel Aviv University, and colleagues.

Troubling results

The researchers found an antibody-mediated response to the BNT162b2 mRNA COVID-19 vaccine in only 66 of 167 (39.5%) of all patients with CLL. The response rate of 52 of these responding patients with CLL to the vaccine was significantly lower than that occurring in 52 age- and sex-matched healthy controls (52% vs. 100%, respectively; adjusted odds ratio, 0.010; 95% confidence interval, 0.001-0.162; P < .001). 

Among the patients with CLL, the response rate was highest in those who obtained clinical remission after treatment (79.2%), followed by 55.2% in treatment-naive patients, and it was only 16% in patients under treatment at the time of vaccination. 

In patients treated with either BTK inhibitors or venetoclax with and without anti-CD20 antibody, response rates were low (16.0% and 13.6%, respectively). In particular, none of the patients exposed to anti-CD20 antibodies less than 12 months prior to vaccination responded, according to the researchers.

Multivariate analysis showed that the independent predictors of a vaccine response were age (65 years or younger; odds ratio, 3.17; P = .025), sex (women; OR, 3.66; P = .006), lack of active therapy (including treatment naive and previously treated patients; OR 6.59; P < .001), IgG levels 550 mg/dL or greater (OR, 3.70; P = .037), and IgM levels 40mg/dL or greater (OR, 2.92; P = .017). 

Within a median follow-up period of 75 days since the first vaccine dose, none of the CLL patients developed COVID-19 infection, the researchers reported.

“Vaccinated patients with CLL should continue to adhere to masking, social distancing, and vaccination of their close contacts should be strongly recommended. Serological tests after the second injection of the COVID-19 vaccine can provide valuable information to the individual patient and perhaps, may be integrated in future clinical decisions,” the researchers concluded.

The study was sponsored by the Tel-Aviv Sourasky Medical Center. The authors reported that they had no conflicts of interest. 

mlesney@mdedge.com 

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Patients with chronic lymphocytic leukemia (CLL) have increased risk for severe COVID-19 disease as well as mortality.

coronavirus_vaccine_web.jpg

Such patients are likely to have compromised immune systems, making them respond poorly to vaccines, as has been seen in studies involving pneumococcal, hepatitis B, and influenza A and B vaccination. 

In order to determine if vaccination against COVID-19 disease will be effective among these patients, researchers performed a study to determine the efficacy of a single COVID-19 vaccine in patients with CLL. They found that the response rate of patients with CLL to vaccination was significantly lower than that of healthy controls, according to the study published in Blood Advances.

Study details

The study (NCT04746092) assessed the humoral immune responses to BNT162b2 mRNA COVID-19 (Pfizer) vaccination in adult patients with CLL and compared responses with those obtained in age-matched healthy controls. Patients received two vaccine doses, 21 days apart, and antibody titers were measured 2-3 weeks after administration of the second dose, according to Yair Herishanu, MD, of the Tel-Aviv Sourasky Medical Center, Tel Aviv University, and colleagues.

Troubling results

The researchers found an antibody-mediated response to the BNT162b2 mRNA COVID-19 vaccine in only 66 of 167 (39.5%) of all patients with CLL. The response rate of 52 of these responding patients with CLL to the vaccine was significantly lower than that occurring in 52 age- and sex-matched healthy controls (52% vs. 100%, respectively; adjusted odds ratio, 0.010; 95% confidence interval, 0.001-0.162; P < .001). 

Among the patients with CLL, the response rate was highest in those who obtained clinical remission after treatment (79.2%), followed by 55.2% in treatment-naive patients, and it was only 16% in patients under treatment at the time of vaccination. 

In patients treated with either BTK inhibitors or venetoclax with and without anti-CD20 antibody, response rates were low (16.0% and 13.6%, respectively). In particular, none of the patients exposed to anti-CD20 antibodies less than 12 months prior to vaccination responded, according to the researchers.

Multivariate analysis showed that the independent predictors of a vaccine response were age (65 years or younger; odds ratio, 3.17; P = .025), sex (women; OR, 3.66; P = .006), lack of active therapy (including treatment naive and previously treated patients; OR 6.59; P < .001), IgG levels 550 mg/dL or greater (OR, 3.70; P = .037), and IgM levels 40mg/dL or greater (OR, 2.92; P = .017). 

Within a median follow-up period of 75 days since the first vaccine dose, none of the CLL patients developed COVID-19 infection, the researchers reported.

“Vaccinated patients with CLL should continue to adhere to masking, social distancing, and vaccination of their close contacts should be strongly recommended. Serological tests after the second injection of the COVID-19 vaccine can provide valuable information to the individual patient and perhaps, may be integrated in future clinical decisions,” the researchers concluded.

The study was sponsored by the Tel-Aviv Sourasky Medical Center. The authors reported that they had no conflicts of interest. 

mlesney@mdedge.com 

Patients with chronic lymphocytic leukemia (CLL) have increased risk for severe COVID-19 disease as well as mortality.

coronavirus_vaccine_web.jpg

Such patients are likely to have compromised immune systems, making them respond poorly to vaccines, as has been seen in studies involving pneumococcal, hepatitis B, and influenza A and B vaccination. 

In order to determine if vaccination against COVID-19 disease will be effective among these patients, researchers performed a study to determine the efficacy of a single COVID-19 vaccine in patients with CLL. They found that the response rate of patients with CLL to vaccination was significantly lower than that of healthy controls, according to the study published in Blood Advances.

Study details

The study (NCT04746092) assessed the humoral immune responses to BNT162b2 mRNA COVID-19 (Pfizer) vaccination in adult patients with CLL and compared responses with those obtained in age-matched healthy controls. Patients received two vaccine doses, 21 days apart, and antibody titers were measured 2-3 weeks after administration of the second dose, according to Yair Herishanu, MD, of the Tel-Aviv Sourasky Medical Center, Tel Aviv University, and colleagues.

Troubling results

The researchers found an antibody-mediated response to the BNT162b2 mRNA COVID-19 vaccine in only 66 of 167 (39.5%) of all patients with CLL. The response rate of 52 of these responding patients with CLL to the vaccine was significantly lower than that occurring in 52 age- and sex-matched healthy controls (52% vs. 100%, respectively; adjusted odds ratio, 0.010; 95% confidence interval, 0.001-0.162; P < .001). 

Among the patients with CLL, the response rate was highest in those who obtained clinical remission after treatment (79.2%), followed by 55.2% in treatment-naive patients, and it was only 16% in patients under treatment at the time of vaccination. 

In patients treated with either BTK inhibitors or venetoclax with and without anti-CD20 antibody, response rates were low (16.0% and 13.6%, respectively). In particular, none of the patients exposed to anti-CD20 antibodies less than 12 months prior to vaccination responded, according to the researchers.

Multivariate analysis showed that the independent predictors of a vaccine response were age (65 years or younger; odds ratio, 3.17; P = .025), sex (women; OR, 3.66; P = .006), lack of active therapy (including treatment naive and previously treated patients; OR 6.59; P < .001), IgG levels 550 mg/dL or greater (OR, 3.70; P = .037), and IgM levels 40mg/dL or greater (OR, 2.92; P = .017). 

Within a median follow-up period of 75 days since the first vaccine dose, none of the CLL patients developed COVID-19 infection, the researchers reported.

“Vaccinated patients with CLL should continue to adhere to masking, social distancing, and vaccination of their close contacts should be strongly recommended. Serological tests after the second injection of the COVID-19 vaccine can provide valuable information to the individual patient and perhaps, may be integrated in future clinical decisions,” the researchers concluded.

The study was sponsored by the Tel-Aviv Sourasky Medical Center. The authors reported that they had no conflicts of interest. 

mlesney@mdedge.com 

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Communication Strategies in Mohs Micrographic Surgery: A Survey of Methods, Time Savings, and Perceived Patient Satisfaction

Article Type
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Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

[embed:render:related:node:236886]

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

[embed:render:related:node:235785]

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Yousefi_Figure.JPG
%3Cp%3EProvider-reported%20time%20savings%20of%20communication%20methods.%20This%20graph%20illustrates%20the%20communication%20media%20that%20were%20associated%20with%20an%20increase%20in%20time%20savings.%20Whiteboards%20and%20headsets%20were%20excluded%20because%20they%20did%20not%20increase%20time%20savings.%20The%20prevalence%20of%20each%20method%20(indicated%20by%20frequency)%20was%20further%20stratified%20by%20range%20of%20time%20savings%2C%20wherein%20the%20area%20of%20each%20stratification%20corresponded%20to%20the%20percentage%20of%20time%20savings%20indicated%20by%20the%20Mohs%20surgeons.%20Asterisk%20indicates%20%3Cem%3EP%3C%2Fem%3E%3D.0482.%3C%2Fp%3E

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.

CT107005249_Table.JPG


Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
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Author and Disclosure Information

Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

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Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

Author and Disclosure Information

Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

Article PDF
Article PDF

Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

[embed:render:related:node:236886]

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

[embed:render:related:node:235785]

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Yousefi_Figure.JPG
%3Cp%3EProvider-reported%20time%20savings%20of%20communication%20methods.%20This%20graph%20illustrates%20the%20communication%20media%20that%20were%20associated%20with%20an%20increase%20in%20time%20savings.%20Whiteboards%20and%20headsets%20were%20excluded%20because%20they%20did%20not%20increase%20time%20savings.%20The%20prevalence%20of%20each%20method%20(indicated%20by%20frequency)%20was%20further%20stratified%20by%20range%20of%20time%20savings%2C%20wherein%20the%20area%20of%20each%20stratification%20corresponded%20to%20the%20percentage%20of%20time%20savings%20indicated%20by%20the%20Mohs%20surgeons.%20Asterisk%20indicates%20%3Cem%3EP%3C%2Fem%3E%3D.0482.%3C%2Fp%3E

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.

CT107005249_Table.JPG


Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

[embed:render:related:node:236886]

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

[embed:render:related:node:235785]

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Yousefi_Figure.JPG
%3Cp%3EProvider-reported%20time%20savings%20of%20communication%20methods.%20This%20graph%20illustrates%20the%20communication%20media%20that%20were%20associated%20with%20an%20increase%20in%20time%20savings.%20Whiteboards%20and%20headsets%20were%20excluded%20because%20they%20did%20not%20increase%20time%20savings.%20The%20prevalence%20of%20each%20method%20(indicated%20by%20frequency)%20was%20further%20stratified%20by%20range%20of%20time%20savings%2C%20wherein%20the%20area%20of%20each%20stratification%20corresponded%20to%20the%20percentage%20of%20time%20savings%20indicated%20by%20the%20Mohs%20surgeons.%20Asterisk%20indicates%20%3Cem%3EP%3C%2Fem%3E%3D.0482.%3C%2Fp%3E

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.

CT107005249_Table.JPG


Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
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Breakthroughs in HCC and Liver Cancer From ASCO 2020

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Dr Andrew X. Zhu, liver cancer expert at Massachusetts General Hospital Cancer Center and Jiahui International Cancer Center, Shanghai, discusses the latest innovations and potentially practice-changing data in the management of hepatocellular carcinoma (HCC) and liver cancer from the ASCO 2020 virtual annual meeting.

 

Highlights include two trials looking at first- and second-line options in Chinese patients with advanced HCC, who account for more than 50% of cases worldwide. Donafenib significantly improved overall survival versus sorafenib in the first-line setting. Donafenib was well tolerated and showed a favorable safety profile. Apatinib achieved similarly impressive outcomes in the second-line setting and showed a manageable safety profile.

 

Next, Dr Zhu discusses the novel combination of tremelimumab and durvalumab in advanced HCC. One dosing regimen in particular more than doubled overall survival and responses rates.

 

He then reviews one of his own studies, a phase 1b trial of the multikinase inhibitor lenvatinib plus pembrolizumab in unresectable HCC, which achieved promising results.

 

Finally, transarterial chemoembolization (TACE) with epirubicin-loaded drug-eluting beads goes head-to-head with conventional epirubicin-lipiodol TACE to determine which has greater efficacy.

 
Andrew X. Zhu, MD, PhD

Director Emeritus, Massachusetts General Hospital Cancer Center, Boston, Massachusetts; Director, Jiahui International Cancer Center, Jiahui International Hospital, Shanghai, China. Andrew X. Zhu, MD, PhD, has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: Bayer; Merck; Eisai; Roche; Eli Lilly and Company; Sanofi; Exelixis
 

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Dr Andrew X. Zhu, liver cancer expert at Massachusetts General Hospital Cancer Center and Jiahui International Cancer Center, Shanghai, discusses the latest innovations and potentially practice-changing data in the management of hepatocellular carcinoma (HCC) and liver cancer from the ASCO 2020 virtual annual meeting.

 

Highlights include two trials looking at first- and second-line options in Chinese patients with advanced HCC, who account for more than 50% of cases worldwide. Donafenib significantly improved overall survival versus sorafenib in the first-line setting. Donafenib was well tolerated and showed a favorable safety profile. Apatinib achieved similarly impressive outcomes in the second-line setting and showed a manageable safety profile.

 

Next, Dr Zhu discusses the novel combination of tremelimumab and durvalumab in advanced HCC. One dosing regimen in particular more than doubled overall survival and responses rates.

 

He then reviews one of his own studies, a phase 1b trial of the multikinase inhibitor lenvatinib plus pembrolizumab in unresectable HCC, which achieved promising results.

 

Finally, transarterial chemoembolization (TACE) with epirubicin-loaded drug-eluting beads goes head-to-head with conventional epirubicin-lipiodol TACE to determine which has greater efficacy.

 
Andrew X. Zhu, MD, PhD

Director Emeritus, Massachusetts General Hospital Cancer Center, Boston, Massachusetts; Director, Jiahui International Cancer Center, Jiahui International Hospital, Shanghai, China. Andrew X. Zhu, MD, PhD, has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: Bayer; Merck; Eisai; Roche; Eli Lilly and Company; Sanofi; Exelixis
 

Dr Andrew X. Zhu, liver cancer expert at Massachusetts General Hospital Cancer Center and Jiahui International Cancer Center, Shanghai, discusses the latest innovations and potentially practice-changing data in the management of hepatocellular carcinoma (HCC) and liver cancer from the ASCO 2020 virtual annual meeting.

 

Highlights include two trials looking at first- and second-line options in Chinese patients with advanced HCC, who account for more than 50% of cases worldwide. Donafenib significantly improved overall survival versus sorafenib in the first-line setting. Donafenib was well tolerated and showed a favorable safety profile. Apatinib achieved similarly impressive outcomes in the second-line setting and showed a manageable safety profile.

 

Next, Dr Zhu discusses the novel combination of tremelimumab and durvalumab in advanced HCC. One dosing regimen in particular more than doubled overall survival and responses rates.

 

He then reviews one of his own studies, a phase 1b trial of the multikinase inhibitor lenvatinib plus pembrolizumab in unresectable HCC, which achieved promising results.

 

Finally, transarterial chemoembolization (TACE) with epirubicin-loaded drug-eluting beads goes head-to-head with conventional epirubicin-lipiodol TACE to determine which has greater efficacy.

 
Andrew X. Zhu, MD, PhD

Director Emeritus, Massachusetts General Hospital Cancer Center, Boston, Massachusetts; Director, Jiahui International Cancer Center, Jiahui International Hospital, Shanghai, China. Andrew X. Zhu, MD, PhD, has disclosed the following relevant financial relationships: Serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for: Bayer; Merck; Eisai; Roche; Eli Lilly and Company; Sanofi; Exelixis
 

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Key Studies in Metastatic Breast Cancer From ASCO 2020

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Key findings in metastatic breast cancer, presented at the ASCO 2020 Virtual Annual Meeting, ranged across all tumor subtypes.

Arguably, the top news in breast cancer was a plenary presentation addressing the role of locoregional therapy in advanced disease. Dr. Harold Burstein, of Dana-Farber Cancer Institute, comments that this study indicates systemic therapy as the mainstay treatment for woman with newly diagnosed advanced disease and a tumor in the breast.

In triple-negative breast cancer, Dr. Burstein highlights two studies. The KEYNOTE-355 study validates the addition of a checkpoint inhibitor in first-line therapy in women whose tumors are PD-L1 positive. The intriguing results of the SWOG S1416 trial, Dr. Burstein comments, suggest the use of PARP inhibition may extend beyond BRCA1 and BRCA2 breast cancers.

In HER2-positive breast cancer, an update of the HER2CLIMB study indicates that the combination of tucatinib, trastuzumab, and capecitabine continues to benefit women with HER2-positive disease. Dr. Burstein expects this combination will be a new standard of care, particularly in women with brain metastases.

As for ER-positive breast cancer, Dr. Burstein reviews the BYLieve trial. Results of this study suggest alpelisib has activity in women with a PIK3CA mutation who have already received a CDK4/6 inhibitor.


Harold J. Burstein, Md, PhD

Professor, Department of Medicine, Harvard Medical School; Institute Physician, Dana-Farber Cancer Institute, Boston, Massachusetts. Harold J. Burstein, MD, PhD, has disclosed no relevant financial relationships.

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Key findings in metastatic breast cancer, presented at the ASCO 2020 Virtual Annual Meeting, ranged across all tumor subtypes.

Arguably, the top news in breast cancer was a plenary presentation addressing the role of locoregional therapy in advanced disease. Dr. Harold Burstein, of Dana-Farber Cancer Institute, comments that this study indicates systemic therapy as the mainstay treatment for woman with newly diagnosed advanced disease and a tumor in the breast.

In triple-negative breast cancer, Dr. Burstein highlights two studies. The KEYNOTE-355 study validates the addition of a checkpoint inhibitor in first-line therapy in women whose tumors are PD-L1 positive. The intriguing results of the SWOG S1416 trial, Dr. Burstein comments, suggest the use of PARP inhibition may extend beyond BRCA1 and BRCA2 breast cancers.

In HER2-positive breast cancer, an update of the HER2CLIMB study indicates that the combination of tucatinib, trastuzumab, and capecitabine continues to benefit women with HER2-positive disease. Dr. Burstein expects this combination will be a new standard of care, particularly in women with brain metastases.

As for ER-positive breast cancer, Dr. Burstein reviews the BYLieve trial. Results of this study suggest alpelisib has activity in women with a PIK3CA mutation who have already received a CDK4/6 inhibitor.


Harold J. Burstein, Md, PhD

Professor, Department of Medicine, Harvard Medical School; Institute Physician, Dana-Farber Cancer Institute, Boston, Massachusetts. Harold J. Burstein, MD, PhD, has disclosed no relevant financial relationships.

Key findings in metastatic breast cancer, presented at the ASCO 2020 Virtual Annual Meeting, ranged across all tumor subtypes.

Arguably, the top news in breast cancer was a plenary presentation addressing the role of locoregional therapy in advanced disease. Dr. Harold Burstein, of Dana-Farber Cancer Institute, comments that this study indicates systemic therapy as the mainstay treatment for woman with newly diagnosed advanced disease and a tumor in the breast.

In triple-negative breast cancer, Dr. Burstein highlights two studies. The KEYNOTE-355 study validates the addition of a checkpoint inhibitor in first-line therapy in women whose tumors are PD-L1 positive. The intriguing results of the SWOG S1416 trial, Dr. Burstein comments, suggest the use of PARP inhibition may extend beyond BRCA1 and BRCA2 breast cancers.

In HER2-positive breast cancer, an update of the HER2CLIMB study indicates that the combination of tucatinib, trastuzumab, and capecitabine continues to benefit women with HER2-positive disease. Dr. Burstein expects this combination will be a new standard of care, particularly in women with brain metastases.

As for ER-positive breast cancer, Dr. Burstein reviews the BYLieve trial. Results of this study suggest alpelisib has activity in women with a PIK3CA mutation who have already received a CDK4/6 inhibitor.


Harold J. Burstein, Md, PhD

Professor, Department of Medicine, Harvard Medical School; Institute Physician, Dana-Farber Cancer Institute, Boston, Massachusetts. Harold J. Burstein, MD, PhD, has disclosed no relevant financial relationships.

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Frailty Tools are Not Yet Ready for Prime Time in High-Risk Identification

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In this issue of the Journal of Hospital Medicine, McAlister et al.1 compared the ability of the Clinical Frailty Scale (CFS) and the Hospital Frailty Risk Score (HFRS) to predict 30-day readmission or death. The authors prospectively assessed adult patients aged ≥18 years without cognitive impairment being discharged back to the community after medical admissions. They demonstrated only modest overlap in frailty designation between HFRS and CFS and concluded that CFS is better than HFRS for predicting the outcomes of interest.

 

Before a prediction rule is widely adopted for use in routine practice, robust external validation is needed.2 Factors such as the prevalence of disease in a population, the clinical competencies of a health system, the socioeconomic status, and the ethnicity of the population can all affect how well a clinical rule performs, but may not become apparent until a prospective validation in a different population is attempted.

In developing the HFRS, Gilbert et al. aimed to create a low-cost, highly generalizable method of identifying frailty using International Classification of Diseases (ICD) 10 billing codes.3 The derivation and validation cohorts for HFRS included older adults aged >75 years in the United Kingdom, many of whom had cognitive impairment. Therefore, it is not surprising that the tool behaved very differently in the younger Canadian cohort described by McAlister et al. where persons with cognitive impairment were excluded. That the HFRS had less predictability in the Canadian cohort may simply indicate that it performs better in an older population with cognitive vulnerabilities; given the frailty constructs of the CFS, it may provide less insights in older populations.

We applaud the efforts to find a way to better identify high-risk groups of adults. We also appreciate the increasing attention to function and other frailty-related domains in risk prediction models. Nevertheless, we recommend caution in using any of the many existing frailty indices4 in risk prediction tools unless it is clear what domains of frailty are most relevant for the predicted outcome and what population is the subject of interest.

One of the challenges of choosing an appropriate frailty tool is that different tools are measuring different domains or constructs of frailty. Most consider frailty either as a physical phenotype5 or as a more multifaceted construct with impairments in physical and mental health, function, and social interaction.6 There is often poor overlap between those individuals identified as frail by different measures, highlighting that they are in fact identifying different people within the population studied and have different predictive abilities.

An ideal frailty tool for clinical use would allow clinicians to identify high-risk patients relative to specific outcome(s) in real time prior to discharge from hospital or prior to a sentinel event in the community. CFS can be calculated at the bedside, but HFRS calculation can only be done retrospectively when medical records are coded for claims after discharge. This makes HFRS more suited to research or post hoc quality measure work and CFS more suited to clinical use as the authors describe.

Although using a frailty indicator to help determine those at high risk of early readmission is an important objective, the presence of frailty accounts for only part of a person’s risk for readmission or other untoward events. Reasons for readmissions are complex and often heavily weighted on a lack of social and community supports. A deeper understanding of the reasons for readmission is needed to establish whether readmission of these complex patients has more to do with frailty or other drivers such as poor transitions of care.

The prevalence of frailty will continue to increase as our population ages. Definitions of frailty vary, but there is a broad agreement that frailty, regardless of how it is constructed, increases with age, results in multisystem changes, and leads to increased healthcare utilization and costs. Preventing the development of frailty, identifying frailty, and developing interventions to address frailty in and out of the hospital setting are all vital. We welcome further research regarding the biopsychosocial constructs of frailty, how they overlap with the frailty phenotype, and how these constructs inform both our understanding of frailty and the use of frailty tools.

 

 

Disclosures

The authors have no conflicts of interest to report.

 

References

1. McAlister FA, Lin M, Bakal JA. Prevalence and Postdischarge Outcomes Associated with Frailty in Medical Inpatients: Impact of Different Frailty Definitions. J Hosp Med. 2019;14(7):407-410. doi: 10.12788/jhm.3174 PubMed
2. Wasson JH, Sox HC, Neff RK, Goldman L. Clinical prediction rules. Applications and methodological standards. N Engl J Med. 1985;313(13):793-799. doi: 10.1056/NEJM198509263131306. PubMed
3. Gilbert T, Neuburger J, Kraindler J, et al. Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet. 2018;391(10132):1775-1782. doi: 10.1016/S0140-6736(18)30668-8. PubMed
4. de Vries NM, Staal JB, van Ravensberg CD, et al. Outcome instruments to measure frailty: a systematic review. Ageing Res Rev. 2011;10(1):104-114. doi: 0.1016/j.arr.2010.09.001. PubMed
5. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3);M146-M156. PubMed
6. Cesari M, Gambassi G, van Kan GA, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing. 2014;43(1):10-12. doi: 10.1093/ageing/aft160. PubMed

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In this issue of the Journal of Hospital Medicine, McAlister et al.1 compared the ability of the Clinical Frailty Scale (CFS) and the Hospital Frailty Risk Score (HFRS) to predict 30-day readmission or death. The authors prospectively assessed adult patients aged ≥18 years without cognitive impairment being discharged back to the community after medical admissions. They demonstrated only modest overlap in frailty designation between HFRS and CFS and concluded that CFS is better than HFRS for predicting the outcomes of interest.

 

Before a prediction rule is widely adopted for use in routine practice, robust external validation is needed.2 Factors such as the prevalence of disease in a population, the clinical competencies of a health system, the socioeconomic status, and the ethnicity of the population can all affect how well a clinical rule performs, but may not become apparent until a prospective validation in a different population is attempted.

In developing the HFRS, Gilbert et al. aimed to create a low-cost, highly generalizable method of identifying frailty using International Classification of Diseases (ICD) 10 billing codes.3 The derivation and validation cohorts for HFRS included older adults aged >75 years in the United Kingdom, many of whom had cognitive impairment. Therefore, it is not surprising that the tool behaved very differently in the younger Canadian cohort described by McAlister et al. where persons with cognitive impairment were excluded. That the HFRS had less predictability in the Canadian cohort may simply indicate that it performs better in an older population with cognitive vulnerabilities; given the frailty constructs of the CFS, it may provide less insights in older populations.

We applaud the efforts to find a way to better identify high-risk groups of adults. We also appreciate the increasing attention to function and other frailty-related domains in risk prediction models. Nevertheless, we recommend caution in using any of the many existing frailty indices4 in risk prediction tools unless it is clear what domains of frailty are most relevant for the predicted outcome and what population is the subject of interest.

One of the challenges of choosing an appropriate frailty tool is that different tools are measuring different domains or constructs of frailty. Most consider frailty either as a physical phenotype5 or as a more multifaceted construct with impairments in physical and mental health, function, and social interaction.6 There is often poor overlap between those individuals identified as frail by different measures, highlighting that they are in fact identifying different people within the population studied and have different predictive abilities.

An ideal frailty tool for clinical use would allow clinicians to identify high-risk patients relative to specific outcome(s) in real time prior to discharge from hospital or prior to a sentinel event in the community. CFS can be calculated at the bedside, but HFRS calculation can only be done retrospectively when medical records are coded for claims after discharge. This makes HFRS more suited to research or post hoc quality measure work and CFS more suited to clinical use as the authors describe.

Although using a frailty indicator to help determine those at high risk of early readmission is an important objective, the presence of frailty accounts for only part of a person’s risk for readmission or other untoward events. Reasons for readmissions are complex and often heavily weighted on a lack of social and community supports. A deeper understanding of the reasons for readmission is needed to establish whether readmission of these complex patients has more to do with frailty or other drivers such as poor transitions of care.

The prevalence of frailty will continue to increase as our population ages. Definitions of frailty vary, but there is a broad agreement that frailty, regardless of how it is constructed, increases with age, results in multisystem changes, and leads to increased healthcare utilization and costs. Preventing the development of frailty, identifying frailty, and developing interventions to address frailty in and out of the hospital setting are all vital. We welcome further research regarding the biopsychosocial constructs of frailty, how they overlap with the frailty phenotype, and how these constructs inform both our understanding of frailty and the use of frailty tools.

 

 

Disclosures

The authors have no conflicts of interest to report.

 

In this issue of the Journal of Hospital Medicine, McAlister et al.1 compared the ability of the Clinical Frailty Scale (CFS) and the Hospital Frailty Risk Score (HFRS) to predict 30-day readmission or death. The authors prospectively assessed adult patients aged ≥18 years without cognitive impairment being discharged back to the community after medical admissions. They demonstrated only modest overlap in frailty designation between HFRS and CFS and concluded that CFS is better than HFRS for predicting the outcomes of interest.

 

Before a prediction rule is widely adopted for use in routine practice, robust external validation is needed.2 Factors such as the prevalence of disease in a population, the clinical competencies of a health system, the socioeconomic status, and the ethnicity of the population can all affect how well a clinical rule performs, but may not become apparent until a prospective validation in a different population is attempted.

In developing the HFRS, Gilbert et al. aimed to create a low-cost, highly generalizable method of identifying frailty using International Classification of Diseases (ICD) 10 billing codes.3 The derivation and validation cohorts for HFRS included older adults aged >75 years in the United Kingdom, many of whom had cognitive impairment. Therefore, it is not surprising that the tool behaved very differently in the younger Canadian cohort described by McAlister et al. where persons with cognitive impairment were excluded. That the HFRS had less predictability in the Canadian cohort may simply indicate that it performs better in an older population with cognitive vulnerabilities; given the frailty constructs of the CFS, it may provide less insights in older populations.

We applaud the efforts to find a way to better identify high-risk groups of adults. We also appreciate the increasing attention to function and other frailty-related domains in risk prediction models. Nevertheless, we recommend caution in using any of the many existing frailty indices4 in risk prediction tools unless it is clear what domains of frailty are most relevant for the predicted outcome and what population is the subject of interest.

One of the challenges of choosing an appropriate frailty tool is that different tools are measuring different domains or constructs of frailty. Most consider frailty either as a physical phenotype5 or as a more multifaceted construct with impairments in physical and mental health, function, and social interaction.6 There is often poor overlap between those individuals identified as frail by different measures, highlighting that they are in fact identifying different people within the population studied and have different predictive abilities.

An ideal frailty tool for clinical use would allow clinicians to identify high-risk patients relative to specific outcome(s) in real time prior to discharge from hospital or prior to a sentinel event in the community. CFS can be calculated at the bedside, but HFRS calculation can only be done retrospectively when medical records are coded for claims after discharge. This makes HFRS more suited to research or post hoc quality measure work and CFS more suited to clinical use as the authors describe.

Although using a frailty indicator to help determine those at high risk of early readmission is an important objective, the presence of frailty accounts for only part of a person’s risk for readmission or other untoward events. Reasons for readmissions are complex and often heavily weighted on a lack of social and community supports. A deeper understanding of the reasons for readmission is needed to establish whether readmission of these complex patients has more to do with frailty or other drivers such as poor transitions of care.

The prevalence of frailty will continue to increase as our population ages. Definitions of frailty vary, but there is a broad agreement that frailty, regardless of how it is constructed, increases with age, results in multisystem changes, and leads to increased healthcare utilization and costs. Preventing the development of frailty, identifying frailty, and developing interventions to address frailty in and out of the hospital setting are all vital. We welcome further research regarding the biopsychosocial constructs of frailty, how they overlap with the frailty phenotype, and how these constructs inform both our understanding of frailty and the use of frailty tools.

 

 

Disclosures

The authors have no conflicts of interest to report.

 

References

1. McAlister FA, Lin M, Bakal JA. Prevalence and Postdischarge Outcomes Associated with Frailty in Medical Inpatients: Impact of Different Frailty Definitions. J Hosp Med. 2019;14(7):407-410. doi: 10.12788/jhm.3174 PubMed
2. Wasson JH, Sox HC, Neff RK, Goldman L. Clinical prediction rules. Applications and methodological standards. N Engl J Med. 1985;313(13):793-799. doi: 10.1056/NEJM198509263131306. PubMed
3. Gilbert T, Neuburger J, Kraindler J, et al. Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet. 2018;391(10132):1775-1782. doi: 10.1016/S0140-6736(18)30668-8. PubMed
4. de Vries NM, Staal JB, van Ravensberg CD, et al. Outcome instruments to measure frailty: a systematic review. Ageing Res Rev. 2011;10(1):104-114. doi: 0.1016/j.arr.2010.09.001. PubMed
5. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3);M146-M156. PubMed
6. Cesari M, Gambassi G, van Kan GA, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing. 2014;43(1):10-12. doi: 10.1093/ageing/aft160. PubMed

References

1. McAlister FA, Lin M, Bakal JA. Prevalence and Postdischarge Outcomes Associated with Frailty in Medical Inpatients: Impact of Different Frailty Definitions. J Hosp Med. 2019;14(7):407-410. doi: 10.12788/jhm.3174 PubMed
2. Wasson JH, Sox HC, Neff RK, Goldman L. Clinical prediction rules. Applications and methodological standards. N Engl J Med. 1985;313(13):793-799. doi: 10.1056/NEJM198509263131306. PubMed
3. Gilbert T, Neuburger J, Kraindler J, et al. Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet. 2018;391(10132):1775-1782. doi: 10.1016/S0140-6736(18)30668-8. PubMed
4. de Vries NM, Staal JB, van Ravensberg CD, et al. Outcome instruments to measure frailty: a systematic review. Ageing Res Rev. 2011;10(1):104-114. doi: 0.1016/j.arr.2010.09.001. PubMed
5. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3);M146-M156. PubMed
6. Cesari M, Gambassi G, van Kan GA, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing. 2014;43(1):10-12. doi: 10.1093/ageing/aft160. PubMed

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Christine S. Ritchie, MD, MSPH, Telephone: (415) 502-0951; E-mail: Christine.Ritchie@ucsf.edu
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