Usage of and Attitudes Toward Health Information Exchange Before and After System Implementation in a VA Medical Center

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A quality improvement project demonstrated a meaningful improvement in VA staff satisfaction regarding access to community-based health records after implementation of an externally developed health information exchange system.

More than 9 million veterans are enrolled in the Veterans Health Administration (VHA). A high percentage of veterans who use VHA services have multiple chronic conditions and complex medical needs.1 In addition to receiving health care from the VHA, many of these patients receive additional services from non-VHA providers in the community. Furthermore, recent laws enacted, such as the 2018 VA MISSION Act and the 2014 VA Choice Program, have increased veterans’ use of community health care services.

VHA staff face considerable barriers when seeking documentation about non-VHA services delivered in the community, which can be fragmented across multiple health care systems. In many VHA medical centers, staff must telephone non-VHA sites of care and/or use time-consuming fax services to request community-based patient records. VA health care providers (HCPs) often complain that community records are not available to make timely clinical decisions or that they must do so without knowing past or co-occurring assessments or treatment plans. Without access to comprehensive health records, patients are at risk for duplicated treatment, medication errors, and death.2,3

Background

To improve the continuity and safety of health care, US governmental and health information experts stimulated formal communication among HCPs via the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act.4,5 One of the primary aims of the HITECH Act was to promote reliable and interoperable electronic sharing of clinical information through health information exchange (HIE) for both patients and HCPs. Monetary incentives encouraged regional, state, or state-funded organizations to create and promote HIE capabilities.

Presently, empirical data are not available that describe the effect of external HIE systems in VHA settings. However, data examining non-VHA settings suggest that HIE may improve quality of care, although findings are mixed. For example, some research has found that HIE reduces hospital admissions, duplicated test ordering, and health care costs and improves decision making, whereas other research has found no change.3,6-13 Barriers to HIE use noted in community settings include poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6-10,14

A few US Department of Veterans Affairs (VA) medical centers have recently initiated contracts with HIE organizations. Because much of the present research evaluates internally developed HIE systems, scholars in the field have identified a pressing need for useful statistics before and after implementation of externally developed HIE systems.13,15 Additionally, scholars call for data examining nonacademic settings (eg, VHA medical centers) and for diverse patient populations (eg, individuals with chronic disorders, veterans).13This quality improvement project had 2 goals. The first goal was to assess baseline descriptive statistics related to requesting/obtaining community health records in a VHA setting. The second goal was to evaluate VHA staff access to needed community health records (eg, records stemming from community consults) before and after implementation of an externally developed HIE system.

Methods

This project was a single-center, quality improvement evaluation examining the effect of implementing an HIE system, developed by an external nonprofit organization. The project protocol was approved by the VA Pacific Islands Healthcare System (VAPIHCS) Evidence-Based Practices Council. Clinicians’ responses were anonymous, and data were reported only in aggregate. Assessment was conducted by an evaluator who was not associated with the HIE system developers and its implementation, reducing the chance of bias.15

 

 

Coinciding with the HIE system implementation and prior to having access to it, VAPIHCS medical and managed care staff were invited to complete an online needs assessment tool. Voluntary trainings on the system were offered at various times on multiple days and lasted approximately 1 hour. Six months after the HIE system was implemented, a postassessment tool reevaluated HIE-related access.

VHA Setting and HIE System

VAPIHCS serves about 55,000 unique patients across a 2.6 million square-mile catchment area (Hawaii and Pacific Island territories). Facilities include a medium-sized, urban VA medical center and 7 suburban or rural/remote primary care outpatient clinics.

VAPIHCS contracted with Hawaii Health Information Exchange (HHIE), a nonprofit organization that was designated by the state of Hawaii to develop a seamless, secure HIE system. According to HHIE, 83% of the 23 hospitals in the state and 55% of Hawaii’s 2,927 active practicing physicians have adopted the HIE system (F. Chan, personal communication, December 12, 2018). HHIE’s data sources provide real-time access to a database of 20 million health records. Records include, among other records, data such as patients’ reasons for referral, encounter diagnoses, medications, immunizations, and discharge instructions from many (but not all) HCPs in Hawaii.

HHIE reports that it has the capacity to interface with all electronic health records systems currently in use in the community (F. Chan, personal communication, December 12, 2018). Although the HIE system can provide directed exchange (ie, sending and receiving secure information electronically between HCPs), the HIE system implemented in the VAPIHCS was limited to query-retrieve (ie, practitioner-initiated requests for information from other community HCPs). Specifically, to access patient records, practitioners log in to the HIE portal and enter a patient’s name in a search window. The system then generates a consolidated virtual chart with data collected from all HIE data-sharing participants. To share records, community HCPs either build or enable a profile in an integrated health care enterprise electronic communication interface into their data. However, VHA records were not made available to community HCPs at this initial stage.

Measures and Statistical Analysis

A template of quality improvement-related questions was adapted for this project with input from subject matter experts. Questions were then modified further based on interviews with 5 clinical and managed care staff members. The final online tool consisted of up to 20 multiple choice items and 2 open-ended questions delivered online. A 22-item evaluation tool was administered 6 months after system implementation. Frequencies were obtained for descriptive items, and group responses were compared across time.

Results

Thirty-nine staff (32 medical and 7 managed care staff) completed the needs assessment, and 20 staff (16 medical and 4 managed care staff) completed the postimplementation evaluation.

Before implementation of the HIE system, most staff (54%) indicated that they spent > 1 hour a week conducting tasks related to seeking and/or obtaining health records from the community. The largest percentage of staff (27%) requested > 10 community records during a typical week. Most respondents indicated that they would use an easy tool to instantly retrieve community health records at least 20 times per week (Table 1).

Preimplementation, 32.4% of respondents indicated that they could access community-based health records sometimes. Postimplementation, most respondents indicated they could access the records most of the time (Figure 1).

Preimplementation, staff most frequently indicated they were very dissatisfied with the current level of access to community records. Postimplementation, more staff were somewhat satisfied or very satisfied (Figure 2). Postimplementation, 48% of staff most often reported using the HIE system either several times a month or 2 to 4 times a week, 19% used the system daily, 19% used 1 to 2 times, and 14% never used the system. Most staff (67%) reported that the system improved access to records somewhat and supported continuing the contract with the HIE system. Conversely, 18% of respondents said that their access did not improve enough for the system to be of use to them.

Preimplementation, staff most frequently indicated that they did not have time (28.6%) or sufficient staff (25.7%) to request records (Table 2). Postimplementation, staff most frequently (33.3%) indicated that they had no problems accessing the HIE system, but 6.7% reported having time or interface/software difficulties.

 

 

Discussion

This report assessed a quality improvement project designed to increase VHA access to community health records via an external HIE system. Prior to this work, no data were available on use, barriers, and staff satisfaction related to implementing an externally developed HIE system within a VA medical center.13,15

Before the medical center implemented the HIE system, logistical barriers prevented most HCPs and managed care staff from obtaining needed community records. Staff faced challenges such as lacking time as well as rudimentary barriers, such as community clinics not responding to requests or the fax machine not working. Time remained a challenge after implementation, but this work demonstrated that the HIE system helped staff overcome many logistical barriers.

After implementation of the HIE system, staff reported an improvement in access and satisfaction related to retrieving community health records. These findings are consistent with most but not all evaluations of HIE systems.3,6,7,12,13 In the present work, staff used the system several times a month or several times a week, and most staff believed that access to the HIE system should be continued. Still, improvement was incomplete. The HIE system increased access to specific types of records (eg, reports) and health care systems (eg, large hospitals), but not others. As a result, the system was more useful for some staff than for others.

Research examining HIE systems in community and academic settings have identified factors that deter their use, such as poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6,7,14,16 In the present project, incomplete record availability was a noted barrier. Additionally, a few staff reported system interface issues. However, most staff found the system easy to use as part of their daily workflow.

Because the HIE system had a meaningful, positive impact on VHA providers and staff, it will be sustained at VAPIHCS. Specifically, the contract with the HHIE has been renewed, and the number of user licenses has increased. Staff users now self-refer for the service or can be referred by their service chiefs.

Limitations

This work was designed to evaluate the effect of an HIE system on staff in 1 VHA setting; thus, findings may not be generalizable to other settings or HIE systems. Limitations of the present work include small sample size of respondents; limited time frame for responses; and limited response rate. The logical next step would be research efforts to compare access to the HIE system with no access on factors such as workload productivity, cost savings, and patient safety.

Conclusion

The vision of the HITECH Act was to improve the continuity and safety of health care via reliable and interoperable electronic sharing of clinical information across health care entities.6 This VHA quality improvement project demonstrated a meaningful improvement in staff’s level of satisfaction with access to community health records when staff used an externally developed HIE system. Not all types of records (eg, progress notes) were accessible, which resulted in the system being useful for most but not all staff.

In the future, the federal government’s internally developed Veterans Health Information Exchange (formerly known as the Virtual Lifetime Electronic Record [VLER]) is expected to enable VHA, the Department of Defense, and participating community care providers to access shared electronic health records nationally. However, until we can achieve that envisioned interoperability, VHA staff can use HIE and other clinical support applications to access health records.

References

1. Yu W, Ravelo A, Wagner TH, et al. Prevalence and costs of chronic conditions in the VA health care system. Med Care Res Rev. 2003;60(3)(suppl):146S-167S.

2. Bourgeois FC, Olson KL, Mandl KD. Patients treated at multiple acute health care facilities: quantifying information fragmentation. Arch Intern Med. 2010;170(22):1989-1995.

3. Rudin RS, Motala A, Goldzweig CL, Shekelle PG. Usage and effect of health information exchange: a systematic review. Ann Intern Med. 2014;161(11):803-811.

4. Blumenthal D. Implementation of the federal health information technology initiative. N Engl J Med. 2011;365(25):2426-2431.

5. The Office of the National Coordinator for Health Information Technology. Connecting health and care for the nation: a shared nationwide interoperability roadmap. Final version 1.0. https://www.healthit.gov/sites/default/files/hie-interoperability/nationwide-interoperability-roadmap-final-version-1.0.pdf. Accessed May 22, 2019.

6. Detmer D, Bloomrosen M, Raymond B, Tang P. Integrated personal health records: transformative tools for consumer-centric care. BMC Med Inform Decis Mak. 2008;8:45.

7. Hersh WR, Totten AM, Eden KB, et al. Outcomes from health information exchange: systematic review and future research needs. JMIR Med Inform. 2015;3(4):e39.

8. Vest JR, Kern LM, Campion TR Jr, Silver MD, Kaushal R. Association between use of a health information exchange system and hospital admissions. Appl Clin Inform. 2014;5(1):219-231.

9. Vest JR, Jung HY, Ostrovsky A, Das LT, McGinty GB. Image sharing technologies and reduction of imaging utilization: a systematic review and meta-analysis. J Am Coll Radiol. 2015;12(12 pt B):1371-1379.e3.

10. Walker DM. Does participation in health information exchange improve hospital efficiency? Health Care Manag Sci. 2018;21(3):426-438.

11. Gordon BD, Bernard K, Salzman J, Whitebird RR. Impact of health information exchange on emergency medicine clinical decision making. West J Emerg Med. 2015;16(7):1047-1051.

12. Hincapie A, Warholak T. The impact of health information exchange on health outcomes. Appl Clin Inform. 2011;2(4):499-507.

13. Rahurkar S, Vest JR, Menachemi N. Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care. Health Aff (Millwood). 2015;34(3):477-483.

14. Eden KB, Totten AM, Kassakian SZ, et al. Barriers and facilitators to exchanging health information: a systematic review. Int J Med Inform. 2016;88:44-51.

15. Hersh WR, Totten AM, Eden K, et al. The evidence base for health information exchange. In: Dixon BE, ed. Health Information Exchange: Navigating and Managing a Network of Health Information Systems. Cambridge, MA: Academic Press; 2016:213-229.

16. Blavin F, Ramos C, Cafarella Lallemand N, Fass J, Ozanich G, Adler-Milstein J. Analyzing the public benefit attributable to interoperable health information exchange. https://aspe.hhs.gov/system/files/pdf/258851/AnalyzingthePublicBenefitAttributabletoInteroperableHealth.pdf. Published July 2017. Accessed May 22, 2019.

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Julia Whealin is an Informatics Research Psychologist, Reese Omizo is a Physician Informaticist, and Christopher Lopez is an Associate Chief of Staff, all at the VA Pacific Islands Healthcare System in Honolulu, Hawaii. Julia Whealin is an Associate Clinical Professor at the University of Hawaii School of Medicine in Manoa.
Correspondence: Julia Whealin (julia.whealin@va.gov)

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The authors report no actual or potential conflicts of interest with regard to this article.

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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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Julia Whealin is an Informatics Research Psychologist, Reese Omizo is a Physician Informaticist, and Christopher Lopez is an Associate Chief of Staff, all at the VA Pacific Islands Healthcare System in Honolulu, Hawaii. Julia Whealin is an Associate Clinical Professor at the University of Hawaii School of Medicine in Manoa.
Correspondence: Julia Whealin (julia.whealin@va.gov)

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

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

Julia Whealin is an Informatics Research Psychologist, Reese Omizo is a Physician Informaticist, and Christopher Lopez is an Associate Chief of Staff, all at the VA Pacific Islands Healthcare System in Honolulu, Hawaii. Julia Whealin is an Associate Clinical Professor at the University of Hawaii School of Medicine in Manoa.
Correspondence: Julia Whealin (julia.whealin@va.gov)

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

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.

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A quality improvement project demonstrated a meaningful improvement in VA staff satisfaction regarding access to community-based health records after implementation of an externally developed health information exchange system.
A quality improvement project demonstrated a meaningful improvement in VA staff satisfaction regarding access to community-based health records after implementation of an externally developed health information exchange system.

More than 9 million veterans are enrolled in the Veterans Health Administration (VHA). A high percentage of veterans who use VHA services have multiple chronic conditions and complex medical needs.1 In addition to receiving health care from the VHA, many of these patients receive additional services from non-VHA providers in the community. Furthermore, recent laws enacted, such as the 2018 VA MISSION Act and the 2014 VA Choice Program, have increased veterans’ use of community health care services.

VHA staff face considerable barriers when seeking documentation about non-VHA services delivered in the community, which can be fragmented across multiple health care systems. In many VHA medical centers, staff must telephone non-VHA sites of care and/or use time-consuming fax services to request community-based patient records. VA health care providers (HCPs) often complain that community records are not available to make timely clinical decisions or that they must do so without knowing past or co-occurring assessments or treatment plans. Without access to comprehensive health records, patients are at risk for duplicated treatment, medication errors, and death.2,3

Background

To improve the continuity and safety of health care, US governmental and health information experts stimulated formal communication among HCPs via the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act.4,5 One of the primary aims of the HITECH Act was to promote reliable and interoperable electronic sharing of clinical information through health information exchange (HIE) for both patients and HCPs. Monetary incentives encouraged regional, state, or state-funded organizations to create and promote HIE capabilities.

Presently, empirical data are not available that describe the effect of external HIE systems in VHA settings. However, data examining non-VHA settings suggest that HIE may improve quality of care, although findings are mixed. For example, some research has found that HIE reduces hospital admissions, duplicated test ordering, and health care costs and improves decision making, whereas other research has found no change.3,6-13 Barriers to HIE use noted in community settings include poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6-10,14

A few US Department of Veterans Affairs (VA) medical centers have recently initiated contracts with HIE organizations. Because much of the present research evaluates internally developed HIE systems, scholars in the field have identified a pressing need for useful statistics before and after implementation of externally developed HIE systems.13,15 Additionally, scholars call for data examining nonacademic settings (eg, VHA medical centers) and for diverse patient populations (eg, individuals with chronic disorders, veterans).13This quality improvement project had 2 goals. The first goal was to assess baseline descriptive statistics related to requesting/obtaining community health records in a VHA setting. The second goal was to evaluate VHA staff access to needed community health records (eg, records stemming from community consults) before and after implementation of an externally developed HIE system.

Methods

This project was a single-center, quality improvement evaluation examining the effect of implementing an HIE system, developed by an external nonprofit organization. The project protocol was approved by the VA Pacific Islands Healthcare System (VAPIHCS) Evidence-Based Practices Council. Clinicians’ responses were anonymous, and data were reported only in aggregate. Assessment was conducted by an evaluator who was not associated with the HIE system developers and its implementation, reducing the chance of bias.15

 

 

Coinciding with the HIE system implementation and prior to having access to it, VAPIHCS medical and managed care staff were invited to complete an online needs assessment tool. Voluntary trainings on the system were offered at various times on multiple days and lasted approximately 1 hour. Six months after the HIE system was implemented, a postassessment tool reevaluated HIE-related access.

VHA Setting and HIE System

VAPIHCS serves about 55,000 unique patients across a 2.6 million square-mile catchment area (Hawaii and Pacific Island territories). Facilities include a medium-sized, urban VA medical center and 7 suburban or rural/remote primary care outpatient clinics.

VAPIHCS contracted with Hawaii Health Information Exchange (HHIE), a nonprofit organization that was designated by the state of Hawaii to develop a seamless, secure HIE system. According to HHIE, 83% of the 23 hospitals in the state and 55% of Hawaii’s 2,927 active practicing physicians have adopted the HIE system (F. Chan, personal communication, December 12, 2018). HHIE’s data sources provide real-time access to a database of 20 million health records. Records include, among other records, data such as patients’ reasons for referral, encounter diagnoses, medications, immunizations, and discharge instructions from many (but not all) HCPs in Hawaii.

HHIE reports that it has the capacity to interface with all electronic health records systems currently in use in the community (F. Chan, personal communication, December 12, 2018). Although the HIE system can provide directed exchange (ie, sending and receiving secure information electronically between HCPs), the HIE system implemented in the VAPIHCS was limited to query-retrieve (ie, practitioner-initiated requests for information from other community HCPs). Specifically, to access patient records, practitioners log in to the HIE portal and enter a patient’s name in a search window. The system then generates a consolidated virtual chart with data collected from all HIE data-sharing participants. To share records, community HCPs either build or enable a profile in an integrated health care enterprise electronic communication interface into their data. However, VHA records were not made available to community HCPs at this initial stage.

Measures and Statistical Analysis

A template of quality improvement-related questions was adapted for this project with input from subject matter experts. Questions were then modified further based on interviews with 5 clinical and managed care staff members. The final online tool consisted of up to 20 multiple choice items and 2 open-ended questions delivered online. A 22-item evaluation tool was administered 6 months after system implementation. Frequencies were obtained for descriptive items, and group responses were compared across time.

Results

Thirty-nine staff (32 medical and 7 managed care staff) completed the needs assessment, and 20 staff (16 medical and 4 managed care staff) completed the postimplementation evaluation.

Before implementation of the HIE system, most staff (54%) indicated that they spent > 1 hour a week conducting tasks related to seeking and/or obtaining health records from the community. The largest percentage of staff (27%) requested > 10 community records during a typical week. Most respondents indicated that they would use an easy tool to instantly retrieve community health records at least 20 times per week (Table 1).

Preimplementation, 32.4% of respondents indicated that they could access community-based health records sometimes. Postimplementation, most respondents indicated they could access the records most of the time (Figure 1).

Preimplementation, staff most frequently indicated they were very dissatisfied with the current level of access to community records. Postimplementation, more staff were somewhat satisfied or very satisfied (Figure 2). Postimplementation, 48% of staff most often reported using the HIE system either several times a month or 2 to 4 times a week, 19% used the system daily, 19% used 1 to 2 times, and 14% never used the system. Most staff (67%) reported that the system improved access to records somewhat and supported continuing the contract with the HIE system. Conversely, 18% of respondents said that their access did not improve enough for the system to be of use to them.

Preimplementation, staff most frequently indicated that they did not have time (28.6%) or sufficient staff (25.7%) to request records (Table 2). Postimplementation, staff most frequently (33.3%) indicated that they had no problems accessing the HIE system, but 6.7% reported having time or interface/software difficulties.

 

 

Discussion

This report assessed a quality improvement project designed to increase VHA access to community health records via an external HIE system. Prior to this work, no data were available on use, barriers, and staff satisfaction related to implementing an externally developed HIE system within a VA medical center.13,15

Before the medical center implemented the HIE system, logistical barriers prevented most HCPs and managed care staff from obtaining needed community records. Staff faced challenges such as lacking time as well as rudimentary barriers, such as community clinics not responding to requests or the fax machine not working. Time remained a challenge after implementation, but this work demonstrated that the HIE system helped staff overcome many logistical barriers.

After implementation of the HIE system, staff reported an improvement in access and satisfaction related to retrieving community health records. These findings are consistent with most but not all evaluations of HIE systems.3,6,7,12,13 In the present work, staff used the system several times a month or several times a week, and most staff believed that access to the HIE system should be continued. Still, improvement was incomplete. The HIE system increased access to specific types of records (eg, reports) and health care systems (eg, large hospitals), but not others. As a result, the system was more useful for some staff than for others.

Research examining HIE systems in community and academic settings have identified factors that deter their use, such as poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6,7,14,16 In the present project, incomplete record availability was a noted barrier. Additionally, a few staff reported system interface issues. However, most staff found the system easy to use as part of their daily workflow.

Because the HIE system had a meaningful, positive impact on VHA providers and staff, it will be sustained at VAPIHCS. Specifically, the contract with the HHIE has been renewed, and the number of user licenses has increased. Staff users now self-refer for the service or can be referred by their service chiefs.

Limitations

This work was designed to evaluate the effect of an HIE system on staff in 1 VHA setting; thus, findings may not be generalizable to other settings or HIE systems. Limitations of the present work include small sample size of respondents; limited time frame for responses; and limited response rate. The logical next step would be research efforts to compare access to the HIE system with no access on factors such as workload productivity, cost savings, and patient safety.

Conclusion

The vision of the HITECH Act was to improve the continuity and safety of health care via reliable and interoperable electronic sharing of clinical information across health care entities.6 This VHA quality improvement project demonstrated a meaningful improvement in staff’s level of satisfaction with access to community health records when staff used an externally developed HIE system. Not all types of records (eg, progress notes) were accessible, which resulted in the system being useful for most but not all staff.

In the future, the federal government’s internally developed Veterans Health Information Exchange (formerly known as the Virtual Lifetime Electronic Record [VLER]) is expected to enable VHA, the Department of Defense, and participating community care providers to access shared electronic health records nationally. However, until we can achieve that envisioned interoperability, VHA staff can use HIE and other clinical support applications to access health records.

More than 9 million veterans are enrolled in the Veterans Health Administration (VHA). A high percentage of veterans who use VHA services have multiple chronic conditions and complex medical needs.1 In addition to receiving health care from the VHA, many of these patients receive additional services from non-VHA providers in the community. Furthermore, recent laws enacted, such as the 2018 VA MISSION Act and the 2014 VA Choice Program, have increased veterans’ use of community health care services.

VHA staff face considerable barriers when seeking documentation about non-VHA services delivered in the community, which can be fragmented across multiple health care systems. In many VHA medical centers, staff must telephone non-VHA sites of care and/or use time-consuming fax services to request community-based patient records. VA health care providers (HCPs) often complain that community records are not available to make timely clinical decisions or that they must do so without knowing past or co-occurring assessments or treatment plans. Without access to comprehensive health records, patients are at risk for duplicated treatment, medication errors, and death.2,3

Background

To improve the continuity and safety of health care, US governmental and health information experts stimulated formal communication among HCPs via the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act.4,5 One of the primary aims of the HITECH Act was to promote reliable and interoperable electronic sharing of clinical information through health information exchange (HIE) for both patients and HCPs. Monetary incentives encouraged regional, state, or state-funded organizations to create and promote HIE capabilities.

Presently, empirical data are not available that describe the effect of external HIE systems in VHA settings. However, data examining non-VHA settings suggest that HIE may improve quality of care, although findings are mixed. For example, some research has found that HIE reduces hospital admissions, duplicated test ordering, and health care costs and improves decision making, whereas other research has found no change.3,6-13 Barriers to HIE use noted in community settings include poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6-10,14

A few US Department of Veterans Affairs (VA) medical centers have recently initiated contracts with HIE organizations. Because much of the present research evaluates internally developed HIE systems, scholars in the field have identified a pressing need for useful statistics before and after implementation of externally developed HIE systems.13,15 Additionally, scholars call for data examining nonacademic settings (eg, VHA medical centers) and for diverse patient populations (eg, individuals with chronic disorders, veterans).13This quality improvement project had 2 goals. The first goal was to assess baseline descriptive statistics related to requesting/obtaining community health records in a VHA setting. The second goal was to evaluate VHA staff access to needed community health records (eg, records stemming from community consults) before and after implementation of an externally developed HIE system.

Methods

This project was a single-center, quality improvement evaluation examining the effect of implementing an HIE system, developed by an external nonprofit organization. The project protocol was approved by the VA Pacific Islands Healthcare System (VAPIHCS) Evidence-Based Practices Council. Clinicians’ responses were anonymous, and data were reported only in aggregate. Assessment was conducted by an evaluator who was not associated with the HIE system developers and its implementation, reducing the chance of bias.15

 

 

Coinciding with the HIE system implementation and prior to having access to it, VAPIHCS medical and managed care staff were invited to complete an online needs assessment tool. Voluntary trainings on the system were offered at various times on multiple days and lasted approximately 1 hour. Six months after the HIE system was implemented, a postassessment tool reevaluated HIE-related access.

VHA Setting and HIE System

VAPIHCS serves about 55,000 unique patients across a 2.6 million square-mile catchment area (Hawaii and Pacific Island territories). Facilities include a medium-sized, urban VA medical center and 7 suburban or rural/remote primary care outpatient clinics.

VAPIHCS contracted with Hawaii Health Information Exchange (HHIE), a nonprofit organization that was designated by the state of Hawaii to develop a seamless, secure HIE system. According to HHIE, 83% of the 23 hospitals in the state and 55% of Hawaii’s 2,927 active practicing physicians have adopted the HIE system (F. Chan, personal communication, December 12, 2018). HHIE’s data sources provide real-time access to a database of 20 million health records. Records include, among other records, data such as patients’ reasons for referral, encounter diagnoses, medications, immunizations, and discharge instructions from many (but not all) HCPs in Hawaii.

HHIE reports that it has the capacity to interface with all electronic health records systems currently in use in the community (F. Chan, personal communication, December 12, 2018). Although the HIE system can provide directed exchange (ie, sending and receiving secure information electronically between HCPs), the HIE system implemented in the VAPIHCS was limited to query-retrieve (ie, practitioner-initiated requests for information from other community HCPs). Specifically, to access patient records, practitioners log in to the HIE portal and enter a patient’s name in a search window. The system then generates a consolidated virtual chart with data collected from all HIE data-sharing participants. To share records, community HCPs either build or enable a profile in an integrated health care enterprise electronic communication interface into their data. However, VHA records were not made available to community HCPs at this initial stage.

Measures and Statistical Analysis

A template of quality improvement-related questions was adapted for this project with input from subject matter experts. Questions were then modified further based on interviews with 5 clinical and managed care staff members. The final online tool consisted of up to 20 multiple choice items and 2 open-ended questions delivered online. A 22-item evaluation tool was administered 6 months after system implementation. Frequencies were obtained for descriptive items, and group responses were compared across time.

Results

Thirty-nine staff (32 medical and 7 managed care staff) completed the needs assessment, and 20 staff (16 medical and 4 managed care staff) completed the postimplementation evaluation.

Before implementation of the HIE system, most staff (54%) indicated that they spent > 1 hour a week conducting tasks related to seeking and/or obtaining health records from the community. The largest percentage of staff (27%) requested > 10 community records during a typical week. Most respondents indicated that they would use an easy tool to instantly retrieve community health records at least 20 times per week (Table 1).

Preimplementation, 32.4% of respondents indicated that they could access community-based health records sometimes. Postimplementation, most respondents indicated they could access the records most of the time (Figure 1).

Preimplementation, staff most frequently indicated they were very dissatisfied with the current level of access to community records. Postimplementation, more staff were somewhat satisfied or very satisfied (Figure 2). Postimplementation, 48% of staff most often reported using the HIE system either several times a month or 2 to 4 times a week, 19% used the system daily, 19% used 1 to 2 times, and 14% never used the system. Most staff (67%) reported that the system improved access to records somewhat and supported continuing the contract with the HIE system. Conversely, 18% of respondents said that their access did not improve enough for the system to be of use to them.

Preimplementation, staff most frequently indicated that they did not have time (28.6%) or sufficient staff (25.7%) to request records (Table 2). Postimplementation, staff most frequently (33.3%) indicated that they had no problems accessing the HIE system, but 6.7% reported having time or interface/software difficulties.

 

 

Discussion

This report assessed a quality improvement project designed to increase VHA access to community health records via an external HIE system. Prior to this work, no data were available on use, barriers, and staff satisfaction related to implementing an externally developed HIE system within a VA medical center.13,15

Before the medical center implemented the HIE system, logistical barriers prevented most HCPs and managed care staff from obtaining needed community records. Staff faced challenges such as lacking time as well as rudimentary barriers, such as community clinics not responding to requests or the fax machine not working. Time remained a challenge after implementation, but this work demonstrated that the HIE system helped staff overcome many logistical barriers.

After implementation of the HIE system, staff reported an improvement in access and satisfaction related to retrieving community health records. These findings are consistent with most but not all evaluations of HIE systems.3,6,7,12,13 In the present work, staff used the system several times a month or several times a week, and most staff believed that access to the HIE system should be continued. Still, improvement was incomplete. The HIE system increased access to specific types of records (eg, reports) and health care systems (eg, large hospitals), but not others. As a result, the system was more useful for some staff than for others.

Research examining HIE systems in community and academic settings have identified factors that deter their use, such as poorly designed interfaces, inefficient workflow, and incomplete record availability.3,6,7,14,16 In the present project, incomplete record availability was a noted barrier. Additionally, a few staff reported system interface issues. However, most staff found the system easy to use as part of their daily workflow.

Because the HIE system had a meaningful, positive impact on VHA providers and staff, it will be sustained at VAPIHCS. Specifically, the contract with the HHIE has been renewed, and the number of user licenses has increased. Staff users now self-refer for the service or can be referred by their service chiefs.

Limitations

This work was designed to evaluate the effect of an HIE system on staff in 1 VHA setting; thus, findings may not be generalizable to other settings or HIE systems. Limitations of the present work include small sample size of respondents; limited time frame for responses; and limited response rate. The logical next step would be research efforts to compare access to the HIE system with no access on factors such as workload productivity, cost savings, and patient safety.

Conclusion

The vision of the HITECH Act was to improve the continuity and safety of health care via reliable and interoperable electronic sharing of clinical information across health care entities.6 This VHA quality improvement project demonstrated a meaningful improvement in staff’s level of satisfaction with access to community health records when staff used an externally developed HIE system. Not all types of records (eg, progress notes) were accessible, which resulted in the system being useful for most but not all staff.

In the future, the federal government’s internally developed Veterans Health Information Exchange (formerly known as the Virtual Lifetime Electronic Record [VLER]) is expected to enable VHA, the Department of Defense, and participating community care providers to access shared electronic health records nationally. However, until we can achieve that envisioned interoperability, VHA staff can use HIE and other clinical support applications to access health records.

References

1. Yu W, Ravelo A, Wagner TH, et al. Prevalence and costs of chronic conditions in the VA health care system. Med Care Res Rev. 2003;60(3)(suppl):146S-167S.

2. Bourgeois FC, Olson KL, Mandl KD. Patients treated at multiple acute health care facilities: quantifying information fragmentation. Arch Intern Med. 2010;170(22):1989-1995.

3. Rudin RS, Motala A, Goldzweig CL, Shekelle PG. Usage and effect of health information exchange: a systematic review. Ann Intern Med. 2014;161(11):803-811.

4. Blumenthal D. Implementation of the federal health information technology initiative. N Engl J Med. 2011;365(25):2426-2431.

5. The Office of the National Coordinator for Health Information Technology. Connecting health and care for the nation: a shared nationwide interoperability roadmap. Final version 1.0. https://www.healthit.gov/sites/default/files/hie-interoperability/nationwide-interoperability-roadmap-final-version-1.0.pdf. Accessed May 22, 2019.

6. Detmer D, Bloomrosen M, Raymond B, Tang P. Integrated personal health records: transformative tools for consumer-centric care. BMC Med Inform Decis Mak. 2008;8:45.

7. Hersh WR, Totten AM, Eden KB, et al. Outcomes from health information exchange: systematic review and future research needs. JMIR Med Inform. 2015;3(4):e39.

8. Vest JR, Kern LM, Campion TR Jr, Silver MD, Kaushal R. Association between use of a health information exchange system and hospital admissions. Appl Clin Inform. 2014;5(1):219-231.

9. Vest JR, Jung HY, Ostrovsky A, Das LT, McGinty GB. Image sharing technologies and reduction of imaging utilization: a systematic review and meta-analysis. J Am Coll Radiol. 2015;12(12 pt B):1371-1379.e3.

10. Walker DM. Does participation in health information exchange improve hospital efficiency? Health Care Manag Sci. 2018;21(3):426-438.

11. Gordon BD, Bernard K, Salzman J, Whitebird RR. Impact of health information exchange on emergency medicine clinical decision making. West J Emerg Med. 2015;16(7):1047-1051.

12. Hincapie A, Warholak T. The impact of health information exchange on health outcomes. Appl Clin Inform. 2011;2(4):499-507.

13. Rahurkar S, Vest JR, Menachemi N. Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care. Health Aff (Millwood). 2015;34(3):477-483.

14. Eden KB, Totten AM, Kassakian SZ, et al. Barriers and facilitators to exchanging health information: a systematic review. Int J Med Inform. 2016;88:44-51.

15. Hersh WR, Totten AM, Eden K, et al. The evidence base for health information exchange. In: Dixon BE, ed. Health Information Exchange: Navigating and Managing a Network of Health Information Systems. Cambridge, MA: Academic Press; 2016:213-229.

16. Blavin F, Ramos C, Cafarella Lallemand N, Fass J, Ozanich G, Adler-Milstein J. Analyzing the public benefit attributable to interoperable health information exchange. https://aspe.hhs.gov/system/files/pdf/258851/AnalyzingthePublicBenefitAttributabletoInteroperableHealth.pdf. Published July 2017. Accessed May 22, 2019.

References

1. Yu W, Ravelo A, Wagner TH, et al. Prevalence and costs of chronic conditions in the VA health care system. Med Care Res Rev. 2003;60(3)(suppl):146S-167S.

2. Bourgeois FC, Olson KL, Mandl KD. Patients treated at multiple acute health care facilities: quantifying information fragmentation. Arch Intern Med. 2010;170(22):1989-1995.

3. Rudin RS, Motala A, Goldzweig CL, Shekelle PG. Usage and effect of health information exchange: a systematic review. Ann Intern Med. 2014;161(11):803-811.

4. Blumenthal D. Implementation of the federal health information technology initiative. N Engl J Med. 2011;365(25):2426-2431.

5. The Office of the National Coordinator for Health Information Technology. Connecting health and care for the nation: a shared nationwide interoperability roadmap. Final version 1.0. https://www.healthit.gov/sites/default/files/hie-interoperability/nationwide-interoperability-roadmap-final-version-1.0.pdf. Accessed May 22, 2019.

6. Detmer D, Bloomrosen M, Raymond B, Tang P. Integrated personal health records: transformative tools for consumer-centric care. BMC Med Inform Decis Mak. 2008;8:45.

7. Hersh WR, Totten AM, Eden KB, et al. Outcomes from health information exchange: systematic review and future research needs. JMIR Med Inform. 2015;3(4):e39.

8. Vest JR, Kern LM, Campion TR Jr, Silver MD, Kaushal R. Association between use of a health information exchange system and hospital admissions. Appl Clin Inform. 2014;5(1):219-231.

9. Vest JR, Jung HY, Ostrovsky A, Das LT, McGinty GB. Image sharing technologies and reduction of imaging utilization: a systematic review and meta-analysis. J Am Coll Radiol. 2015;12(12 pt B):1371-1379.e3.

10. Walker DM. Does participation in health information exchange improve hospital efficiency? Health Care Manag Sci. 2018;21(3):426-438.

11. Gordon BD, Bernard K, Salzman J, Whitebird RR. Impact of health information exchange on emergency medicine clinical decision making. West J Emerg Med. 2015;16(7):1047-1051.

12. Hincapie A, Warholak T. The impact of health information exchange on health outcomes. Appl Clin Inform. 2011;2(4):499-507.

13. Rahurkar S, Vest JR, Menachemi N. Despite the spread of health information exchange, there is little evidence of its impact on cost, use, and quality of care. Health Aff (Millwood). 2015;34(3):477-483.

14. Eden KB, Totten AM, Kassakian SZ, et al. Barriers and facilitators to exchanging health information: a systematic review. Int J Med Inform. 2016;88:44-51.

15. Hersh WR, Totten AM, Eden K, et al. The evidence base for health information exchange. In: Dixon BE, ed. Health Information Exchange: Navigating and Managing a Network of Health Information Systems. Cambridge, MA: Academic Press; 2016:213-229.

16. Blavin F, Ramos C, Cafarella Lallemand N, Fass J, Ozanich G, Adler-Milstein J. Analyzing the public benefit attributable to interoperable health information exchange. https://aspe.hhs.gov/system/files/pdf/258851/AnalyzingthePublicBenefitAttributabletoInteroperableHealth.pdf. Published July 2017. Accessed May 22, 2019.

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Beyond the Polygraph: Deception Detection and the Autonomic Nervous System

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The US Department of Defense (DoD) and law enforcement agencies around the country utilize polygraph as an aid in security screenings and interrogation. It is assumed that a person being interviewed will have a visceral response when attempting to deceive the interviewer, and that this response can be detected by measuring the change in vital signs between questions. By using vital signs as an indirect measurement of deception-induced stress, the polygraph machine may provide a false positive or negative result if a patient has an inherited or acquired condition that affects the autonomic nervous system (ANS).

 

A variety of diseases from alcohol use disorder to rheumatoid arthritis can affect the ANS. In addition, a multitude of commonly prescribed drugs can affect the ANS. Although in their infancy, functional magnetic resonance imaging (fMRI) and EEG (electroencephalogram) deception detection techniques circumvent these issues. Dysautonomias may be an underappreciated cause of error in polygraph interpretation. Polygraph examiners and DoD agencies should be aware of the potential for these disorders to interfere with interpretation of results. In the near future, other modalities that do not measure autonomic variables may be utilized to avoid these pitfalls.

 

Polygraphy

Throughout history, humans have been interested in techniques and devices that can discern lies from the truth. Even in the ancient era, it was known that the act of lying had physiologic effects. In ancient Israel, if a woman accused of adultery should develop a swollen abdomen after drinking “waters of bitterness,” she was considered guilty of the crime, as described in Numbers 5:11-31. In Ancient China, those accused of fraud would be forced to hold dry rice in their mouths; if the expectorated rice was dry, the suspect was found guilty.1 We now know that catecholamines, particularly epinephrine, secreted during times of stress, cause relaxation of smooth muscle, leading to reduced bowel motility and dry mouth.2-4 However, most methods before the modern era were based more on superstition and chance rather than any sound physiologic premise.

When asked to discern the truth from falsehood based on their own perceptions, people correctly discern lies as false merely 47% of the time and truth as nondeceptive about 61% of the time.5 In short, unaided, we are very poor lie detectors. Therefore, a great deal of interest in technology that can aid in lie detection has ensued. With enhanced technology and understanding of human physiology came a renewed interest in lie detection. Since it was known that vital signs such as blood pressure (BP), heart rate, and breathing could be affected by the stressful situation brought on by deception, quantifying and measuring those responses in an effort to detect lying became a goal. In 1881, the Italian criminologist Cesare Lombroso invented a glove that when worn by a suspect, measured their BP.6-8 Changes in BP also were the target variable of the systolic BP deception test invented by William M. Marston, PhD, in 1915.8 Marston also experimented with measurements of other variables, such as muscle tension.9 In 1921, John Larson invented the first modern polygraph machine.7

 

 

Procedures

Today’s polygraph builds on these techniques. A standard polygraph measures respiration, heart rate, BP, and sudomotor function (sweating). Respiration is measured via strain gauges strapped around the chest and abdomen that respond to chest expansion during inhalation. BP and pulse can be measured through a variety of means, including finger pulse measurement or sphygmomanometer.8

Perspiration is measured by skin electrical conductance. Human sweat contains a variety of cations and anions—mostly sodium and chloride, but also potassium, bicarbonate, and lactate. The presence of these electrolytes alter electrical conduction at the skin surface when sweat is released.10

The exact questioning procedure used to perform a polygraph examination can vary. The Comparison Question Test is most commonly used. In this format, the interview consists of questions that are relevant to the investigation at hand, interspersed with control questions. The examiner compares the changes in vital signs and skin conduction to the baseline measurements generated during the pretest interview and during control questions.8 Using these standardized techniques, some studies have shown accuracy rates between 83% and 95% in controlled settings.8 However, studies performed outside of the polygraph community have found very high false positive rates, up to 50% or greater.11

The US Supreme Court has ruled that individual jurisdictions can decide whether or not to admit polygraph evidence in court, and the US Court of Appeals for the Eleventh Circuit has ruled that polygraph results are only admissible if both parties agree to it and are given sufficient notice.12,13 Currently, New Mexico is the only state that allows polygraph results to be used as evidence without a pretrial agreement; all other states either require such an agreement or forbid the results to be used as evidence.14

Although rarely used in federal and state courts as evidence, polygraphy is commonly used during investigations and in the hiring process of government agencies. DoD Directive 5210.48 and Instruction 5210.91 enable DoD investigative organizations (eg, Naval Criminal Investigative Service, National Security Agency, US Army Investigational Command) to use polygraph as an aid during investigations into suspected involvement with foreign intelligence, terrorism against the US, mishandling of classified documents, and other serious violations.15

The Role of the Physician in Polygraph Assessment

It may be rare that the physician is called upon to provide information regarding an individual’s medical condition or related medication use and the effect of these on polygraph results. In such cases, however, the physician must remember the primary fiduciary duty to the patient. Disclosure of medical conditions cannot be made without the patient’s consent, save in very specific situations (eg, Commanding Officer Inquiry, Tarasoff Duty to Protect, etc). It is the polygraph examiner’s responsibility to be aware of potential confounders in a particular examination.10

Physicians can have a responsibility when in administrative or supervisory positions, to advise security and other officials regarding the fitness for certain duties of candidates with whom there is no physician-patient relationship. This may include an individual’s ability to undergo polygraph examination and the validity of such results. However, when a physician-patient relationship is involved, care must be given to ensure that the patient understands that the relationship is protected both by professional standards and by law and that no information will be shared without the patient’s authorization (aside from those rare exceptions provided by law). Often, a straightforward explanation to the patient of the medical condition and any medication’s potential effects on polygraph results will be sufficient, allowing the patient to report as much as is deemed necessary to the polygraph examiner.

 

 

Polygraphy Pitfalls

Polygraphy presupposes that the subject will have a consistent and measurable physiologic response when he or she attempts to deceive the interviewer. The changes in BP, heart rate, respirations, and perspiration that are detected by polygraphy and interpreted by the examiner are controlled by the ANS (Table 1). There are a variety of diseases that are known to cause autonomic dysfunction (dysautonomia). Small fiber autonomic neuropathies often result in loss of sweating and altered heart rate and BP variation and can arise from many underlying conditions. Synucleinopathies, such as Parkinson disease, alter cardiovascular reflexes.14,16

Even diseases not commonly recognized as having a predominant clinical impact on ANS function can demonstrate measurable physiologic effect. For example, approximately 60% of patients with rheumatoid arthritis will have blunted cardiovagal baroreceptor responses and heart rate variability.17 ANS dysfunction is also a common sequela of alcoholism.18 Patients with diabetes mellitus often have an elevated resting heart rate and low heart rate variability due to dysregulated β-adrenergic activity.19 The impact of reduced baroreceptor response and reduced heart rate variability could impact the polygraph interpreter’s ability to discern responses using heart rate. Individuals with ANS dysfunction that causes blunted physiologic responses could have inconclusive or potentially worse false-negative polygraph results due to lack of variation between control and target questions.

To our knowledge, no study has been performed on the validity of polygraphy in patients with any form of dysautonomia. Additionally, a 2011 process and compliance study of the DoD polygraph program specifically recommended that “adjudicators would benefit from training in polygraph capabilities and limitations.”20 Although specific requirements vary from program to program, all programs accredited by the American Polygraph Association provide training in physiology, psychology, and standardization of test results.

Many commonly prescribed medications have effects on the ANS that could affect the results of a polygraph exam (Table 2). For example, β blockers reduce β adrenergic receptor activation in cardiac muscle and blood vessels, reducing heart rate, heart rate variability, cardiac contractility, and BP.21 This class of medication is prescribed for a variety of conditions, including congestive heart failure, hypertension, panic disorder, and posttraumatic stress disorder. Thus, a patient taking β blockers will have a blunted physiologic response to stress and have an increased likelihood of an inconclusive or false-negative polygraph exam.

Some over-the-counter medications also have effects on autonomic function. Sympathomimetics such as pseudoephedrine or antihistamines with anticholinergic activity like diphenhydramine can both increase heart rate and BP.22,23 Of the 10 most prescribed medications of 2016, 5 have direct effects on the ANS or the variables measured by the polygraph machine.24 An exhaustive list of medication effects on autonomic function is beyond the scope of this article.

A medication that may affect the results of a polygraph study that is of special interest to the DoD and military is mefloquine. Mefloquine is an antimalarial drug that has been used by military personnel deployed to malaria endemic regions.25 In murine models, mefloquine has been shown to disrupt autonomic and respiratory control in the central nervous system.26 The neuropsychiatric adverse effects of mefloquine are well documented and can last for years after exposure to the drug.27 Therefore, mefloquine could affect the results of a polygraph test through both direct toxic effects on the ANS as well as causing anxiety and depression, potentially affecting the subject’s response to questioning.

 

 

Alternative Modalities

Given the pitfalls inherent with external physiologic measures for lie detection, additional modalities that bypass measurement of ANS-governed responses have been sought. Indeed, the integration and combination of more comprehensive modalities has come to be named the forensic credibility assessment.

Functional MRI

Beginning in 1991, researchers began using fMRI to see real-time perfusion changes in areas of the cerebral cortex between times of rest and mental stimulation.26 This modality provides a noninvasive technique for viewing which specific parts of the brain are stimulated during activity. When someone is engaged in active deception, the dorsolateral prefrontal cortex has greater perfusion than when the patient is engaged in truth telling.28 Since fMRI involves imaging for evaluation of the central nervous system, it avoids the potential inaccuracies that can be seen in some subjects with autonomic irregularities. In fact, fMRI may have superior sensitivity and specificity for lie detection compared with that of conventional polygraphy.29

Significant limitations to the use of fMRI include the necessity of expensive specialized equipment and trained personnel to operate the MRI. Agencies that use polygraph examinations may be unwilling to make such an investment. Further, subjects with metallic foreign bodies or noncompatible medical implants cannot undergo the MRI procedure. Finally, there have been bioethical and legal concerns raised that measuring brain activity during interrogation may endanger “cognitive freedom” and may even be considered unreasonable search and seizure under the Fourth Amendment to the US Constitution.30 However, fMRI—like polygraphy—can only measure the difference between brain perfusion in 2 states. The idea of fMRI as “mind reading” is largely a misconception.31

Electroencephalography

Various EEG modalities have received increased interest for lie detection. In EEG, electrodes are used to measure the summation of a multitude of postsynaptic action potentials and the local voltage gradient they produce when cortical pyramidal neurons are fired in synchrony.32 These voltage gradients are detectable at the scalp surface. Shortly after the invention of EEG, it was observed that specific stimuli generated unique and predicable changes in EEG morphology. These event-related potentials (ERP) are detectable by scalp EEG shortly after the stimulus is given.33

ERPs can be elicited by a multitude of sensory stimuli, have a predictable and reproducible morphology, and are believed to be a psychophysiologic correlate of mental processing of stimuli.34 The P300 is an ERP characterized by a positive change in voltage occurring 300 milliseconds after a stimulus. It is associated with stimulus processing and categorization.35 Since deception is a complex cognitive process involving recognizing pertinent stimuli and inventing false responses to them, it was theorized that the detection of a P300 ERP during a patient interview would mean the patient truly recognizes the stimulus and is denying such knowledge. Early studies performed on P300 had variable accuracy for lie detection, roughly 40% to 80%, depending on the study. Thus, the rate of false negatives would increase if the subjects were coached on countermeasures, such as increasing the significance of distractor data or counting backward by 7s.36,37 Later studies have found ways of minimizing these issues, such as detection of a P900 ERP (a cortical potential at 900 milliseconds) that can be seen when subjects are attempting countermeasures.38

Another technique for increasing accuracy in EEG-mediated lie detection is measurement of multifaceted electroencephalographic response (MER), which involves a more detailed analysis of multiple EEG electrode sites and how the signaling changes over time using both visual comparison of multiple trials as well as bootstrap analysis.37 In particular, memory- and encoding-related multifaceted electroencephalographic response (MERMER) using P300 coupled with an electrically negative impulse recorded at the frontal lobe and phasic changes in the global EEG had superior accuracy than P300 alone.37

The benefits of EEG compared with that of fMRI include large reductions in cost, space, and restrictions for use in some individuals (EEG is safe for virtually all patients, including those with metallic foreign bodies). However, like fMRI, EEG still requires trained personnel to operate and interpret. Also, it has yet to be tested outside of the laboratory.

 

 

Conclusion

The ability to detect deception is an important factor in determining security risk and adjudication of legal proceedings, but untrained persons are surprisingly poor at discerning truth from lies. The polygraph has been used by law enforcement and government agencies for decades to aid in interrogation and the screening of employees for security clearances and other types of access. However, results are vulnerable to inaccuracies in subjects with autonomic disorders and may be confounded by multiple medications. While emerging technologies such as fMRI and EEG may allow superior accuracy by bypassing ANS-based physiologic outputs, the polygraph examiner and the physician must be aware of the effect of autonomic dysfunction and of the medications that affect the ANS. This is particularly true within military medicine, as many patients within this population are subject to polygraph examination.

References

1. Ford EB. Lie detection: historical, neuropsychiatric and legal dimensions. Int J Law Psychiatry. 2006;29(3):159-177.

2. Ohrn PG. Catecholamine infusion and gastrointestinal propulsion in the rat. Acta Chir Scand Suppl. 1979(461):43-52.

3. Sakamoto H. The study of catecholamine, acetylcholine and bradykinin in buccal circulation in dogs. Kurume Med J. 1979;26(2):153-162.

4. Bond CF Jr, Depaulo BM. Accuracy of deception judgments. Pers Soc Psychol Rev. 2006;10(3):214-234.

5. Vicianova M. Historical techniques of lie detection. Eur J sychology. 2015;11(3):522-534.

6. Matté JA. Forensic Psychophysiology Using the Polygraph: Scientific Truth Verification, Lie Detection. Williamsville, NY: JAM Publications; 2012.

7. Segrave K. Lie Detectors: A Social History. Jefferson, NC: McFarland & Company; 2004.

8. Nelson R. Scientific basis for polygraph testing. Polygraph. 2015;44(1):28-61.

9. Boucsein W. Electrodermal Activity. New York, NY: Springer Publishing; 2012.

10. US Congress, Office of Assessment and Technology. Scientific validity of polygraph testing: a research review and evaluation. https://ota.fas.org/reports/8320.pdf. Published 1983. Accessed June 12, 2019.

11. United States v Scheffer, 523 US 303 (1998).

12. United States v Piccinonna, 729 F Supp 1336 (SD Fl 1990).

13. Fridman DS, Janoe JS. The state of judicial gatekeeping in New Mexico. https://cyber.harvard.edu/daubert/nm.htm. Updated April 17, 1999. Accessed May 20, 2019.

14. Gibbons CH. Small fiber neuropathies. Continuum (Minneap Minn). 2014;20(5 Peripheral Nervous System Disorders):1398-1412.

15. US Department of Defense. Directive 5210.48: Credibility assessment (CA) program. https://fas.org/irp/doddir/dod/d5210_48.pdf. Updated February 12, 2018. Accessed May 30, 2019.

16. Postuma RB, Gagnon JF, Pelletier A, Montplaisir J. Prodromal autonomic symptoms and signs in Parkinson’s disease and dementia with Lewy bodies. Mov Disord. 2013;28(5):597-604.

17. Adlan AM, Lip GY, Paton JF, Kitas GD, Fisher JP. Autonomic function and rheumatoid arthritis: a systematic review. Semin Arthritis Rheum. 2014;44(3):283-304.

18. Di Ciaula A, Grattagliano I, Portincasa P. Chronic alcoholics retain dyspeptic symptoms, pan-enteric dysmotility, and autonomic neuropathy before and after abstinence. J Dig Dis. 2016;17(11):735-746.

19. Thaung HA, Baldi JC, Wang H, et al. Increased efferent cardiac sympathetic nerve activity and defective intrinsic heart rate regulation in type 2 diabetes. Diabetes. 2015;64(8):2944-2956.

20. US Department of Defense, Office of the Undersecretary of Defense for Intelligence. Department of Defense polygraph program process and compliance study: study report. https://fas.org/sgp/othergov/polygraph/dod-poly.pdf. Published December 19, 2011. Accessed May 20, 2019.

21. Ladage D, Schwinger RH, Brixius K. Cardio-selective beta-blocker: pharmacological evidence and their influence on exercise capacity. Cardiovasc Ther. 2013;31(2):76-83.

22. D’Souza RS, Mercogliano C, Ojukwu E, et al. Effects of prophylactic anticholinergic medications to decrease extrapyramidal side effects in patients taking acute antiemetic drugs: a systematic review and meta-analysis Emerg Med J. 2018;35:325-331.

23. Gheorghiev MD, Hosseini F, Moran J, Cooper CE. Effects of pseudoephedrine on parameters affecting exercise performance: a meta-analysis. Sports Med Open. 2018;4(1):44.

24. Frellick M. Top-selling, top-prescribed drugs for 2016. https://www.medscape.com/viewarticle/886404. Published October 2, 2017. Accessed May 20, 2019.

25. Lall DM, Dutschmann M, Deuchars J, Deuchars S. The anti-malarial drug mefloquine disrupts central autonomic and respiratory control in the working heart brainstem preparation of the rat. J Biomed Sci. 2012;19:103.

26. Ritchie EC, Block J, Nevin RL. Psychiatric side effects of mefloquine: applications to forensic psychiatry. J Am Acad Psychiatry Law. 2013;41(2):224-235.

27. Belliveau JW, Kennedy DN Jr, McKinstry RC, et al. Functional mapping of the human visual cortex by magnetic resonance imaging. Science. 1991;254(5032):716-719.

28. Ito A, Abe N, Fujii T, et al. The contribution of the dorsolateral prefrontal cortex to the preparation for deception and truth-telling. Brain Res. 2012;1464:43-52.

29. Langleben DD, Hakun JG, Seelig D. Polygraphy and functional magnetic resonance imaging in lie detection: a controlled blind comparison using the concealed information test. J Clin Psychiatry. 2016;77(10):1372-1380.

30. Boire RG. Searching the brain: the Fourth Amendment implications of brain-based deception detection devices. Am J Bioeth. 2005;5(2):62-63; discussion W5.

31. Langleben DD. Detection of deception with fMRI: Are we there yet? Legal Criminological Psychol. 2008;13(1):1-9.

32. Marcuse LV, Fields MC, Yoo J. Rowans Primer of EEG. 2nd ed. Edinburgh, Scotland, United Kingdom: Elsevier; 2016.

33. Farwell LA, Donchin E. The truth will out: interrogative polygraphy (“lie detection”) with event-related brain potentials. Psychophysiology. 1991;28(5):531-547.

34. Sur S, Sinha VK. Event-related potential: an overview. Ind Psychiatry J. 2009;18(1):70-73.

35. Polich J. Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiol. 2007;118(10):2128-2148.

36. Mertens R, Allen, JJB. The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios. Psychophysiology. 2008;45(2):286-298.

37. Rosenfeld JP, Labkovsky E. New P300-based protocol to detect concealed information: resistance to mental countermeasures against only half the irrelevant stimuli and a possible ERP indicator of countermeasures. Psychophysiology. 2010;47(6):1002-1010.

38. Farwell LA, Smith SS. Using brain MERMER testing to detect knowledge despite efforts to conceal. J Forensic Sci. 2001;46(1):135-143.

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The US Department of Defense (DoD) and law enforcement agencies around the country utilize polygraph as an aid in security screenings and interrogation. It is assumed that a person being interviewed will have a visceral response when attempting to deceive the interviewer, and that this response can be detected by measuring the change in vital signs between questions. By using vital signs as an indirect measurement of deception-induced stress, the polygraph machine may provide a false positive or negative result if a patient has an inherited or acquired condition that affects the autonomic nervous system (ANS).

 

A variety of diseases from alcohol use disorder to rheumatoid arthritis can affect the ANS. In addition, a multitude of commonly prescribed drugs can affect the ANS. Although in their infancy, functional magnetic resonance imaging (fMRI) and EEG (electroencephalogram) deception detection techniques circumvent these issues. Dysautonomias may be an underappreciated cause of error in polygraph interpretation. Polygraph examiners and DoD agencies should be aware of the potential for these disorders to interfere with interpretation of results. In the near future, other modalities that do not measure autonomic variables may be utilized to avoid these pitfalls.

 

Polygraphy

Throughout history, humans have been interested in techniques and devices that can discern lies from the truth. Even in the ancient era, it was known that the act of lying had physiologic effects. In ancient Israel, if a woman accused of adultery should develop a swollen abdomen after drinking “waters of bitterness,” she was considered guilty of the crime, as described in Numbers 5:11-31. In Ancient China, those accused of fraud would be forced to hold dry rice in their mouths; if the expectorated rice was dry, the suspect was found guilty.1 We now know that catecholamines, particularly epinephrine, secreted during times of stress, cause relaxation of smooth muscle, leading to reduced bowel motility and dry mouth.2-4 However, most methods before the modern era were based more on superstition and chance rather than any sound physiologic premise.

When asked to discern the truth from falsehood based on their own perceptions, people correctly discern lies as false merely 47% of the time and truth as nondeceptive about 61% of the time.5 In short, unaided, we are very poor lie detectors. Therefore, a great deal of interest in technology that can aid in lie detection has ensued. With enhanced technology and understanding of human physiology came a renewed interest in lie detection. Since it was known that vital signs such as blood pressure (BP), heart rate, and breathing could be affected by the stressful situation brought on by deception, quantifying and measuring those responses in an effort to detect lying became a goal. In 1881, the Italian criminologist Cesare Lombroso invented a glove that when worn by a suspect, measured their BP.6-8 Changes in BP also were the target variable of the systolic BP deception test invented by William M. Marston, PhD, in 1915.8 Marston also experimented with measurements of other variables, such as muscle tension.9 In 1921, John Larson invented the first modern polygraph machine.7

 

 

Procedures

Today’s polygraph builds on these techniques. A standard polygraph measures respiration, heart rate, BP, and sudomotor function (sweating). Respiration is measured via strain gauges strapped around the chest and abdomen that respond to chest expansion during inhalation. BP and pulse can be measured through a variety of means, including finger pulse measurement or sphygmomanometer.8

Perspiration is measured by skin electrical conductance. Human sweat contains a variety of cations and anions—mostly sodium and chloride, but also potassium, bicarbonate, and lactate. The presence of these electrolytes alter electrical conduction at the skin surface when sweat is released.10

The exact questioning procedure used to perform a polygraph examination can vary. The Comparison Question Test is most commonly used. In this format, the interview consists of questions that are relevant to the investigation at hand, interspersed with control questions. The examiner compares the changes in vital signs and skin conduction to the baseline measurements generated during the pretest interview and during control questions.8 Using these standardized techniques, some studies have shown accuracy rates between 83% and 95% in controlled settings.8 However, studies performed outside of the polygraph community have found very high false positive rates, up to 50% or greater.11

The US Supreme Court has ruled that individual jurisdictions can decide whether or not to admit polygraph evidence in court, and the US Court of Appeals for the Eleventh Circuit has ruled that polygraph results are only admissible if both parties agree to it and are given sufficient notice.12,13 Currently, New Mexico is the only state that allows polygraph results to be used as evidence without a pretrial agreement; all other states either require such an agreement or forbid the results to be used as evidence.14

Although rarely used in federal and state courts as evidence, polygraphy is commonly used during investigations and in the hiring process of government agencies. DoD Directive 5210.48 and Instruction 5210.91 enable DoD investigative organizations (eg, Naval Criminal Investigative Service, National Security Agency, US Army Investigational Command) to use polygraph as an aid during investigations into suspected involvement with foreign intelligence, terrorism against the US, mishandling of classified documents, and other serious violations.15

The Role of the Physician in Polygraph Assessment

It may be rare that the physician is called upon to provide information regarding an individual’s medical condition or related medication use and the effect of these on polygraph results. In such cases, however, the physician must remember the primary fiduciary duty to the patient. Disclosure of medical conditions cannot be made without the patient’s consent, save in very specific situations (eg, Commanding Officer Inquiry, Tarasoff Duty to Protect, etc). It is the polygraph examiner’s responsibility to be aware of potential confounders in a particular examination.10

Physicians can have a responsibility when in administrative or supervisory positions, to advise security and other officials regarding the fitness for certain duties of candidates with whom there is no physician-patient relationship. This may include an individual’s ability to undergo polygraph examination and the validity of such results. However, when a physician-patient relationship is involved, care must be given to ensure that the patient understands that the relationship is protected both by professional standards and by law and that no information will be shared without the patient’s authorization (aside from those rare exceptions provided by law). Often, a straightforward explanation to the patient of the medical condition and any medication’s potential effects on polygraph results will be sufficient, allowing the patient to report as much as is deemed necessary to the polygraph examiner.

 

 

Polygraphy Pitfalls

Polygraphy presupposes that the subject will have a consistent and measurable physiologic response when he or she attempts to deceive the interviewer. The changes in BP, heart rate, respirations, and perspiration that are detected by polygraphy and interpreted by the examiner are controlled by the ANS (Table 1). There are a variety of diseases that are known to cause autonomic dysfunction (dysautonomia). Small fiber autonomic neuropathies often result in loss of sweating and altered heart rate and BP variation and can arise from many underlying conditions. Synucleinopathies, such as Parkinson disease, alter cardiovascular reflexes.14,16

Even diseases not commonly recognized as having a predominant clinical impact on ANS function can demonstrate measurable physiologic effect. For example, approximately 60% of patients with rheumatoid arthritis will have blunted cardiovagal baroreceptor responses and heart rate variability.17 ANS dysfunction is also a common sequela of alcoholism.18 Patients with diabetes mellitus often have an elevated resting heart rate and low heart rate variability due to dysregulated β-adrenergic activity.19 The impact of reduced baroreceptor response and reduced heart rate variability could impact the polygraph interpreter’s ability to discern responses using heart rate. Individuals with ANS dysfunction that causes blunted physiologic responses could have inconclusive or potentially worse false-negative polygraph results due to lack of variation between control and target questions.

To our knowledge, no study has been performed on the validity of polygraphy in patients with any form of dysautonomia. Additionally, a 2011 process and compliance study of the DoD polygraph program specifically recommended that “adjudicators would benefit from training in polygraph capabilities and limitations.”20 Although specific requirements vary from program to program, all programs accredited by the American Polygraph Association provide training in physiology, psychology, and standardization of test results.

Many commonly prescribed medications have effects on the ANS that could affect the results of a polygraph exam (Table 2). For example, β blockers reduce β adrenergic receptor activation in cardiac muscle and blood vessels, reducing heart rate, heart rate variability, cardiac contractility, and BP.21 This class of medication is prescribed for a variety of conditions, including congestive heart failure, hypertension, panic disorder, and posttraumatic stress disorder. Thus, a patient taking β blockers will have a blunted physiologic response to stress and have an increased likelihood of an inconclusive or false-negative polygraph exam.

Some over-the-counter medications also have effects on autonomic function. Sympathomimetics such as pseudoephedrine or antihistamines with anticholinergic activity like diphenhydramine can both increase heart rate and BP.22,23 Of the 10 most prescribed medications of 2016, 5 have direct effects on the ANS or the variables measured by the polygraph machine.24 An exhaustive list of medication effects on autonomic function is beyond the scope of this article.

A medication that may affect the results of a polygraph study that is of special interest to the DoD and military is mefloquine. Mefloquine is an antimalarial drug that has been used by military personnel deployed to malaria endemic regions.25 In murine models, mefloquine has been shown to disrupt autonomic and respiratory control in the central nervous system.26 The neuropsychiatric adverse effects of mefloquine are well documented and can last for years after exposure to the drug.27 Therefore, mefloquine could affect the results of a polygraph test through both direct toxic effects on the ANS as well as causing anxiety and depression, potentially affecting the subject’s response to questioning.

 

 

Alternative Modalities

Given the pitfalls inherent with external physiologic measures for lie detection, additional modalities that bypass measurement of ANS-governed responses have been sought. Indeed, the integration and combination of more comprehensive modalities has come to be named the forensic credibility assessment.

Functional MRI

Beginning in 1991, researchers began using fMRI to see real-time perfusion changes in areas of the cerebral cortex between times of rest and mental stimulation.26 This modality provides a noninvasive technique for viewing which specific parts of the brain are stimulated during activity. When someone is engaged in active deception, the dorsolateral prefrontal cortex has greater perfusion than when the patient is engaged in truth telling.28 Since fMRI involves imaging for evaluation of the central nervous system, it avoids the potential inaccuracies that can be seen in some subjects with autonomic irregularities. In fact, fMRI may have superior sensitivity and specificity for lie detection compared with that of conventional polygraphy.29

Significant limitations to the use of fMRI include the necessity of expensive specialized equipment and trained personnel to operate the MRI. Agencies that use polygraph examinations may be unwilling to make such an investment. Further, subjects with metallic foreign bodies or noncompatible medical implants cannot undergo the MRI procedure. Finally, there have been bioethical and legal concerns raised that measuring brain activity during interrogation may endanger “cognitive freedom” and may even be considered unreasonable search and seizure under the Fourth Amendment to the US Constitution.30 However, fMRI—like polygraphy—can only measure the difference between brain perfusion in 2 states. The idea of fMRI as “mind reading” is largely a misconception.31

Electroencephalography

Various EEG modalities have received increased interest for lie detection. In EEG, electrodes are used to measure the summation of a multitude of postsynaptic action potentials and the local voltage gradient they produce when cortical pyramidal neurons are fired in synchrony.32 These voltage gradients are detectable at the scalp surface. Shortly after the invention of EEG, it was observed that specific stimuli generated unique and predicable changes in EEG morphology. These event-related potentials (ERP) are detectable by scalp EEG shortly after the stimulus is given.33

ERPs can be elicited by a multitude of sensory stimuli, have a predictable and reproducible morphology, and are believed to be a psychophysiologic correlate of mental processing of stimuli.34 The P300 is an ERP characterized by a positive change in voltage occurring 300 milliseconds after a stimulus. It is associated with stimulus processing and categorization.35 Since deception is a complex cognitive process involving recognizing pertinent stimuli and inventing false responses to them, it was theorized that the detection of a P300 ERP during a patient interview would mean the patient truly recognizes the stimulus and is denying such knowledge. Early studies performed on P300 had variable accuracy for lie detection, roughly 40% to 80%, depending on the study. Thus, the rate of false negatives would increase if the subjects were coached on countermeasures, such as increasing the significance of distractor data or counting backward by 7s.36,37 Later studies have found ways of minimizing these issues, such as detection of a P900 ERP (a cortical potential at 900 milliseconds) that can be seen when subjects are attempting countermeasures.38

Another technique for increasing accuracy in EEG-mediated lie detection is measurement of multifaceted electroencephalographic response (MER), which involves a more detailed analysis of multiple EEG electrode sites and how the signaling changes over time using both visual comparison of multiple trials as well as bootstrap analysis.37 In particular, memory- and encoding-related multifaceted electroencephalographic response (MERMER) using P300 coupled with an electrically negative impulse recorded at the frontal lobe and phasic changes in the global EEG had superior accuracy than P300 alone.37

The benefits of EEG compared with that of fMRI include large reductions in cost, space, and restrictions for use in some individuals (EEG is safe for virtually all patients, including those with metallic foreign bodies). However, like fMRI, EEG still requires trained personnel to operate and interpret. Also, it has yet to be tested outside of the laboratory.

 

 

Conclusion

The ability to detect deception is an important factor in determining security risk and adjudication of legal proceedings, but untrained persons are surprisingly poor at discerning truth from lies. The polygraph has been used by law enforcement and government agencies for decades to aid in interrogation and the screening of employees for security clearances and other types of access. However, results are vulnerable to inaccuracies in subjects with autonomic disorders and may be confounded by multiple medications. While emerging technologies such as fMRI and EEG may allow superior accuracy by bypassing ANS-based physiologic outputs, the polygraph examiner and the physician must be aware of the effect of autonomic dysfunction and of the medications that affect the ANS. This is particularly true within military medicine, as many patients within this population are subject to polygraph examination.

The US Department of Defense (DoD) and law enforcement agencies around the country utilize polygraph as an aid in security screenings and interrogation. It is assumed that a person being interviewed will have a visceral response when attempting to deceive the interviewer, and that this response can be detected by measuring the change in vital signs between questions. By using vital signs as an indirect measurement of deception-induced stress, the polygraph machine may provide a false positive or negative result if a patient has an inherited or acquired condition that affects the autonomic nervous system (ANS).

 

A variety of diseases from alcohol use disorder to rheumatoid arthritis can affect the ANS. In addition, a multitude of commonly prescribed drugs can affect the ANS. Although in their infancy, functional magnetic resonance imaging (fMRI) and EEG (electroencephalogram) deception detection techniques circumvent these issues. Dysautonomias may be an underappreciated cause of error in polygraph interpretation. Polygraph examiners and DoD agencies should be aware of the potential for these disorders to interfere with interpretation of results. In the near future, other modalities that do not measure autonomic variables may be utilized to avoid these pitfalls.

 

Polygraphy

Throughout history, humans have been interested in techniques and devices that can discern lies from the truth. Even in the ancient era, it was known that the act of lying had physiologic effects. In ancient Israel, if a woman accused of adultery should develop a swollen abdomen after drinking “waters of bitterness,” she was considered guilty of the crime, as described in Numbers 5:11-31. In Ancient China, those accused of fraud would be forced to hold dry rice in their mouths; if the expectorated rice was dry, the suspect was found guilty.1 We now know that catecholamines, particularly epinephrine, secreted during times of stress, cause relaxation of smooth muscle, leading to reduced bowel motility and dry mouth.2-4 However, most methods before the modern era were based more on superstition and chance rather than any sound physiologic premise.

When asked to discern the truth from falsehood based on their own perceptions, people correctly discern lies as false merely 47% of the time and truth as nondeceptive about 61% of the time.5 In short, unaided, we are very poor lie detectors. Therefore, a great deal of interest in technology that can aid in lie detection has ensued. With enhanced technology and understanding of human physiology came a renewed interest in lie detection. Since it was known that vital signs such as blood pressure (BP), heart rate, and breathing could be affected by the stressful situation brought on by deception, quantifying and measuring those responses in an effort to detect lying became a goal. In 1881, the Italian criminologist Cesare Lombroso invented a glove that when worn by a suspect, measured their BP.6-8 Changes in BP also were the target variable of the systolic BP deception test invented by William M. Marston, PhD, in 1915.8 Marston also experimented with measurements of other variables, such as muscle tension.9 In 1921, John Larson invented the first modern polygraph machine.7

 

 

Procedures

Today’s polygraph builds on these techniques. A standard polygraph measures respiration, heart rate, BP, and sudomotor function (sweating). Respiration is measured via strain gauges strapped around the chest and abdomen that respond to chest expansion during inhalation. BP and pulse can be measured through a variety of means, including finger pulse measurement or sphygmomanometer.8

Perspiration is measured by skin electrical conductance. Human sweat contains a variety of cations and anions—mostly sodium and chloride, but also potassium, bicarbonate, and lactate. The presence of these electrolytes alter electrical conduction at the skin surface when sweat is released.10

The exact questioning procedure used to perform a polygraph examination can vary. The Comparison Question Test is most commonly used. In this format, the interview consists of questions that are relevant to the investigation at hand, interspersed with control questions. The examiner compares the changes in vital signs and skin conduction to the baseline measurements generated during the pretest interview and during control questions.8 Using these standardized techniques, some studies have shown accuracy rates between 83% and 95% in controlled settings.8 However, studies performed outside of the polygraph community have found very high false positive rates, up to 50% or greater.11

The US Supreme Court has ruled that individual jurisdictions can decide whether or not to admit polygraph evidence in court, and the US Court of Appeals for the Eleventh Circuit has ruled that polygraph results are only admissible if both parties agree to it and are given sufficient notice.12,13 Currently, New Mexico is the only state that allows polygraph results to be used as evidence without a pretrial agreement; all other states either require such an agreement or forbid the results to be used as evidence.14

Although rarely used in federal and state courts as evidence, polygraphy is commonly used during investigations and in the hiring process of government agencies. DoD Directive 5210.48 and Instruction 5210.91 enable DoD investigative organizations (eg, Naval Criminal Investigative Service, National Security Agency, US Army Investigational Command) to use polygraph as an aid during investigations into suspected involvement with foreign intelligence, terrorism against the US, mishandling of classified documents, and other serious violations.15

The Role of the Physician in Polygraph Assessment

It may be rare that the physician is called upon to provide information regarding an individual’s medical condition or related medication use and the effect of these on polygraph results. In such cases, however, the physician must remember the primary fiduciary duty to the patient. Disclosure of medical conditions cannot be made without the patient’s consent, save in very specific situations (eg, Commanding Officer Inquiry, Tarasoff Duty to Protect, etc). It is the polygraph examiner’s responsibility to be aware of potential confounders in a particular examination.10

Physicians can have a responsibility when in administrative or supervisory positions, to advise security and other officials regarding the fitness for certain duties of candidates with whom there is no physician-patient relationship. This may include an individual’s ability to undergo polygraph examination and the validity of such results. However, when a physician-patient relationship is involved, care must be given to ensure that the patient understands that the relationship is protected both by professional standards and by law and that no information will be shared without the patient’s authorization (aside from those rare exceptions provided by law). Often, a straightforward explanation to the patient of the medical condition and any medication’s potential effects on polygraph results will be sufficient, allowing the patient to report as much as is deemed necessary to the polygraph examiner.

 

 

Polygraphy Pitfalls

Polygraphy presupposes that the subject will have a consistent and measurable physiologic response when he or she attempts to deceive the interviewer. The changes in BP, heart rate, respirations, and perspiration that are detected by polygraphy and interpreted by the examiner are controlled by the ANS (Table 1). There are a variety of diseases that are known to cause autonomic dysfunction (dysautonomia). Small fiber autonomic neuropathies often result in loss of sweating and altered heart rate and BP variation and can arise from many underlying conditions. Synucleinopathies, such as Parkinson disease, alter cardiovascular reflexes.14,16

Even diseases not commonly recognized as having a predominant clinical impact on ANS function can demonstrate measurable physiologic effect. For example, approximately 60% of patients with rheumatoid arthritis will have blunted cardiovagal baroreceptor responses and heart rate variability.17 ANS dysfunction is also a common sequela of alcoholism.18 Patients with diabetes mellitus often have an elevated resting heart rate and low heart rate variability due to dysregulated β-adrenergic activity.19 The impact of reduced baroreceptor response and reduced heart rate variability could impact the polygraph interpreter’s ability to discern responses using heart rate. Individuals with ANS dysfunction that causes blunted physiologic responses could have inconclusive or potentially worse false-negative polygraph results due to lack of variation between control and target questions.

To our knowledge, no study has been performed on the validity of polygraphy in patients with any form of dysautonomia. Additionally, a 2011 process and compliance study of the DoD polygraph program specifically recommended that “adjudicators would benefit from training in polygraph capabilities and limitations.”20 Although specific requirements vary from program to program, all programs accredited by the American Polygraph Association provide training in physiology, psychology, and standardization of test results.

Many commonly prescribed medications have effects on the ANS that could affect the results of a polygraph exam (Table 2). For example, β blockers reduce β adrenergic receptor activation in cardiac muscle and blood vessels, reducing heart rate, heart rate variability, cardiac contractility, and BP.21 This class of medication is prescribed for a variety of conditions, including congestive heart failure, hypertension, panic disorder, and posttraumatic stress disorder. Thus, a patient taking β blockers will have a blunted physiologic response to stress and have an increased likelihood of an inconclusive or false-negative polygraph exam.

Some over-the-counter medications also have effects on autonomic function. Sympathomimetics such as pseudoephedrine or antihistamines with anticholinergic activity like diphenhydramine can both increase heart rate and BP.22,23 Of the 10 most prescribed medications of 2016, 5 have direct effects on the ANS or the variables measured by the polygraph machine.24 An exhaustive list of medication effects on autonomic function is beyond the scope of this article.

A medication that may affect the results of a polygraph study that is of special interest to the DoD and military is mefloquine. Mefloquine is an antimalarial drug that has been used by military personnel deployed to malaria endemic regions.25 In murine models, mefloquine has been shown to disrupt autonomic and respiratory control in the central nervous system.26 The neuropsychiatric adverse effects of mefloquine are well documented and can last for years after exposure to the drug.27 Therefore, mefloquine could affect the results of a polygraph test through both direct toxic effects on the ANS as well as causing anxiety and depression, potentially affecting the subject’s response to questioning.

 

 

Alternative Modalities

Given the pitfalls inherent with external physiologic measures for lie detection, additional modalities that bypass measurement of ANS-governed responses have been sought. Indeed, the integration and combination of more comprehensive modalities has come to be named the forensic credibility assessment.

Functional MRI

Beginning in 1991, researchers began using fMRI to see real-time perfusion changes in areas of the cerebral cortex between times of rest and mental stimulation.26 This modality provides a noninvasive technique for viewing which specific parts of the brain are stimulated during activity. When someone is engaged in active deception, the dorsolateral prefrontal cortex has greater perfusion than when the patient is engaged in truth telling.28 Since fMRI involves imaging for evaluation of the central nervous system, it avoids the potential inaccuracies that can be seen in some subjects with autonomic irregularities. In fact, fMRI may have superior sensitivity and specificity for lie detection compared with that of conventional polygraphy.29

Significant limitations to the use of fMRI include the necessity of expensive specialized equipment and trained personnel to operate the MRI. Agencies that use polygraph examinations may be unwilling to make such an investment. Further, subjects with metallic foreign bodies or noncompatible medical implants cannot undergo the MRI procedure. Finally, there have been bioethical and legal concerns raised that measuring brain activity during interrogation may endanger “cognitive freedom” and may even be considered unreasonable search and seizure under the Fourth Amendment to the US Constitution.30 However, fMRI—like polygraphy—can only measure the difference between brain perfusion in 2 states. The idea of fMRI as “mind reading” is largely a misconception.31

Electroencephalography

Various EEG modalities have received increased interest for lie detection. In EEG, electrodes are used to measure the summation of a multitude of postsynaptic action potentials and the local voltage gradient they produce when cortical pyramidal neurons are fired in synchrony.32 These voltage gradients are detectable at the scalp surface. Shortly after the invention of EEG, it was observed that specific stimuli generated unique and predicable changes in EEG morphology. These event-related potentials (ERP) are detectable by scalp EEG shortly after the stimulus is given.33

ERPs can be elicited by a multitude of sensory stimuli, have a predictable and reproducible morphology, and are believed to be a psychophysiologic correlate of mental processing of stimuli.34 The P300 is an ERP characterized by a positive change in voltage occurring 300 milliseconds after a stimulus. It is associated with stimulus processing and categorization.35 Since deception is a complex cognitive process involving recognizing pertinent stimuli and inventing false responses to them, it was theorized that the detection of a P300 ERP during a patient interview would mean the patient truly recognizes the stimulus and is denying such knowledge. Early studies performed on P300 had variable accuracy for lie detection, roughly 40% to 80%, depending on the study. Thus, the rate of false negatives would increase if the subjects were coached on countermeasures, such as increasing the significance of distractor data or counting backward by 7s.36,37 Later studies have found ways of minimizing these issues, such as detection of a P900 ERP (a cortical potential at 900 milliseconds) that can be seen when subjects are attempting countermeasures.38

Another technique for increasing accuracy in EEG-mediated lie detection is measurement of multifaceted electroencephalographic response (MER), which involves a more detailed analysis of multiple EEG electrode sites and how the signaling changes over time using both visual comparison of multiple trials as well as bootstrap analysis.37 In particular, memory- and encoding-related multifaceted electroencephalographic response (MERMER) using P300 coupled with an electrically negative impulse recorded at the frontal lobe and phasic changes in the global EEG had superior accuracy than P300 alone.37

The benefits of EEG compared with that of fMRI include large reductions in cost, space, and restrictions for use in some individuals (EEG is safe for virtually all patients, including those with metallic foreign bodies). However, like fMRI, EEG still requires trained personnel to operate and interpret. Also, it has yet to be tested outside of the laboratory.

 

 

Conclusion

The ability to detect deception is an important factor in determining security risk and adjudication of legal proceedings, but untrained persons are surprisingly poor at discerning truth from lies. The polygraph has been used by law enforcement and government agencies for decades to aid in interrogation and the screening of employees for security clearances and other types of access. However, results are vulnerable to inaccuracies in subjects with autonomic disorders and may be confounded by multiple medications. While emerging technologies such as fMRI and EEG may allow superior accuracy by bypassing ANS-based physiologic outputs, the polygraph examiner and the physician must be aware of the effect of autonomic dysfunction and of the medications that affect the ANS. This is particularly true within military medicine, as many patients within this population are subject to polygraph examination.

References

1. Ford EB. Lie detection: historical, neuropsychiatric and legal dimensions. Int J Law Psychiatry. 2006;29(3):159-177.

2. Ohrn PG. Catecholamine infusion and gastrointestinal propulsion in the rat. Acta Chir Scand Suppl. 1979(461):43-52.

3. Sakamoto H. The study of catecholamine, acetylcholine and bradykinin in buccal circulation in dogs. Kurume Med J. 1979;26(2):153-162.

4. Bond CF Jr, Depaulo BM. Accuracy of deception judgments. Pers Soc Psychol Rev. 2006;10(3):214-234.

5. Vicianova M. Historical techniques of lie detection. Eur J sychology. 2015;11(3):522-534.

6. Matté JA. Forensic Psychophysiology Using the Polygraph: Scientific Truth Verification, Lie Detection. Williamsville, NY: JAM Publications; 2012.

7. Segrave K. Lie Detectors: A Social History. Jefferson, NC: McFarland & Company; 2004.

8. Nelson R. Scientific basis for polygraph testing. Polygraph. 2015;44(1):28-61.

9. Boucsein W. Electrodermal Activity. New York, NY: Springer Publishing; 2012.

10. US Congress, Office of Assessment and Technology. Scientific validity of polygraph testing: a research review and evaluation. https://ota.fas.org/reports/8320.pdf. Published 1983. Accessed June 12, 2019.

11. United States v Scheffer, 523 US 303 (1998).

12. United States v Piccinonna, 729 F Supp 1336 (SD Fl 1990).

13. Fridman DS, Janoe JS. The state of judicial gatekeeping in New Mexico. https://cyber.harvard.edu/daubert/nm.htm. Updated April 17, 1999. Accessed May 20, 2019.

14. Gibbons CH. Small fiber neuropathies. Continuum (Minneap Minn). 2014;20(5 Peripheral Nervous System Disorders):1398-1412.

15. US Department of Defense. Directive 5210.48: Credibility assessment (CA) program. https://fas.org/irp/doddir/dod/d5210_48.pdf. Updated February 12, 2018. Accessed May 30, 2019.

16. Postuma RB, Gagnon JF, Pelletier A, Montplaisir J. Prodromal autonomic symptoms and signs in Parkinson’s disease and dementia with Lewy bodies. Mov Disord. 2013;28(5):597-604.

17. Adlan AM, Lip GY, Paton JF, Kitas GD, Fisher JP. Autonomic function and rheumatoid arthritis: a systematic review. Semin Arthritis Rheum. 2014;44(3):283-304.

18. Di Ciaula A, Grattagliano I, Portincasa P. Chronic alcoholics retain dyspeptic symptoms, pan-enteric dysmotility, and autonomic neuropathy before and after abstinence. J Dig Dis. 2016;17(11):735-746.

19. Thaung HA, Baldi JC, Wang H, et al. Increased efferent cardiac sympathetic nerve activity and defective intrinsic heart rate regulation in type 2 diabetes. Diabetes. 2015;64(8):2944-2956.

20. US Department of Defense, Office of the Undersecretary of Defense for Intelligence. Department of Defense polygraph program process and compliance study: study report. https://fas.org/sgp/othergov/polygraph/dod-poly.pdf. Published December 19, 2011. Accessed May 20, 2019.

21. Ladage D, Schwinger RH, Brixius K. Cardio-selective beta-blocker: pharmacological evidence and their influence on exercise capacity. Cardiovasc Ther. 2013;31(2):76-83.

22. D’Souza RS, Mercogliano C, Ojukwu E, et al. Effects of prophylactic anticholinergic medications to decrease extrapyramidal side effects in patients taking acute antiemetic drugs: a systematic review and meta-analysis Emerg Med J. 2018;35:325-331.

23. Gheorghiev MD, Hosseini F, Moran J, Cooper CE. Effects of pseudoephedrine on parameters affecting exercise performance: a meta-analysis. Sports Med Open. 2018;4(1):44.

24. Frellick M. Top-selling, top-prescribed drugs for 2016. https://www.medscape.com/viewarticle/886404. Published October 2, 2017. Accessed May 20, 2019.

25. Lall DM, Dutschmann M, Deuchars J, Deuchars S. The anti-malarial drug mefloquine disrupts central autonomic and respiratory control in the working heart brainstem preparation of the rat. J Biomed Sci. 2012;19:103.

26. Ritchie EC, Block J, Nevin RL. Psychiatric side effects of mefloquine: applications to forensic psychiatry. J Am Acad Psychiatry Law. 2013;41(2):224-235.

27. Belliveau JW, Kennedy DN Jr, McKinstry RC, et al. Functional mapping of the human visual cortex by magnetic resonance imaging. Science. 1991;254(5032):716-719.

28. Ito A, Abe N, Fujii T, et al. The contribution of the dorsolateral prefrontal cortex to the preparation for deception and truth-telling. Brain Res. 2012;1464:43-52.

29. Langleben DD, Hakun JG, Seelig D. Polygraphy and functional magnetic resonance imaging in lie detection: a controlled blind comparison using the concealed information test. J Clin Psychiatry. 2016;77(10):1372-1380.

30. Boire RG. Searching the brain: the Fourth Amendment implications of brain-based deception detection devices. Am J Bioeth. 2005;5(2):62-63; discussion W5.

31. Langleben DD. Detection of deception with fMRI: Are we there yet? Legal Criminological Psychol. 2008;13(1):1-9.

32. Marcuse LV, Fields MC, Yoo J. Rowans Primer of EEG. 2nd ed. Edinburgh, Scotland, United Kingdom: Elsevier; 2016.

33. Farwell LA, Donchin E. The truth will out: interrogative polygraphy (“lie detection”) with event-related brain potentials. Psychophysiology. 1991;28(5):531-547.

34. Sur S, Sinha VK. Event-related potential: an overview. Ind Psychiatry J. 2009;18(1):70-73.

35. Polich J. Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiol. 2007;118(10):2128-2148.

36. Mertens R, Allen, JJB. The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios. Psychophysiology. 2008;45(2):286-298.

37. Rosenfeld JP, Labkovsky E. New P300-based protocol to detect concealed information: resistance to mental countermeasures against only half the irrelevant stimuli and a possible ERP indicator of countermeasures. Psychophysiology. 2010;47(6):1002-1010.

38. Farwell LA, Smith SS. Using brain MERMER testing to detect knowledge despite efforts to conceal. J Forensic Sci. 2001;46(1):135-143.

References

1. Ford EB. Lie detection: historical, neuropsychiatric and legal dimensions. Int J Law Psychiatry. 2006;29(3):159-177.

2. Ohrn PG. Catecholamine infusion and gastrointestinal propulsion in the rat. Acta Chir Scand Suppl. 1979(461):43-52.

3. Sakamoto H. The study of catecholamine, acetylcholine and bradykinin in buccal circulation in dogs. Kurume Med J. 1979;26(2):153-162.

4. Bond CF Jr, Depaulo BM. Accuracy of deception judgments. Pers Soc Psychol Rev. 2006;10(3):214-234.

5. Vicianova M. Historical techniques of lie detection. Eur J sychology. 2015;11(3):522-534.

6. Matté JA. Forensic Psychophysiology Using the Polygraph: Scientific Truth Verification, Lie Detection. Williamsville, NY: JAM Publications; 2012.

7. Segrave K. Lie Detectors: A Social History. Jefferson, NC: McFarland & Company; 2004.

8. Nelson R. Scientific basis for polygraph testing. Polygraph. 2015;44(1):28-61.

9. Boucsein W. Electrodermal Activity. New York, NY: Springer Publishing; 2012.

10. US Congress, Office of Assessment and Technology. Scientific validity of polygraph testing: a research review and evaluation. https://ota.fas.org/reports/8320.pdf. Published 1983. Accessed June 12, 2019.

11. United States v Scheffer, 523 US 303 (1998).

12. United States v Piccinonna, 729 F Supp 1336 (SD Fl 1990).

13. Fridman DS, Janoe JS. The state of judicial gatekeeping in New Mexico. https://cyber.harvard.edu/daubert/nm.htm. Updated April 17, 1999. Accessed May 20, 2019.

14. Gibbons CH. Small fiber neuropathies. Continuum (Minneap Minn). 2014;20(5 Peripheral Nervous System Disorders):1398-1412.

15. US Department of Defense. Directive 5210.48: Credibility assessment (CA) program. https://fas.org/irp/doddir/dod/d5210_48.pdf. Updated February 12, 2018. Accessed May 30, 2019.

16. Postuma RB, Gagnon JF, Pelletier A, Montplaisir J. Prodromal autonomic symptoms and signs in Parkinson’s disease and dementia with Lewy bodies. Mov Disord. 2013;28(5):597-604.

17. Adlan AM, Lip GY, Paton JF, Kitas GD, Fisher JP. Autonomic function and rheumatoid arthritis: a systematic review. Semin Arthritis Rheum. 2014;44(3):283-304.

18. Di Ciaula A, Grattagliano I, Portincasa P. Chronic alcoholics retain dyspeptic symptoms, pan-enteric dysmotility, and autonomic neuropathy before and after abstinence. J Dig Dis. 2016;17(11):735-746.

19. Thaung HA, Baldi JC, Wang H, et al. Increased efferent cardiac sympathetic nerve activity and defective intrinsic heart rate regulation in type 2 diabetes. Diabetes. 2015;64(8):2944-2956.

20. US Department of Defense, Office of the Undersecretary of Defense for Intelligence. Department of Defense polygraph program process and compliance study: study report. https://fas.org/sgp/othergov/polygraph/dod-poly.pdf. Published December 19, 2011. Accessed May 20, 2019.

21. Ladage D, Schwinger RH, Brixius K. Cardio-selective beta-blocker: pharmacological evidence and their influence on exercise capacity. Cardiovasc Ther. 2013;31(2):76-83.

22. D’Souza RS, Mercogliano C, Ojukwu E, et al. Effects of prophylactic anticholinergic medications to decrease extrapyramidal side effects in patients taking acute antiemetic drugs: a systematic review and meta-analysis Emerg Med J. 2018;35:325-331.

23. Gheorghiev MD, Hosseini F, Moran J, Cooper CE. Effects of pseudoephedrine on parameters affecting exercise performance: a meta-analysis. Sports Med Open. 2018;4(1):44.

24. Frellick M. Top-selling, top-prescribed drugs for 2016. https://www.medscape.com/viewarticle/886404. Published October 2, 2017. Accessed May 20, 2019.

25. Lall DM, Dutschmann M, Deuchars J, Deuchars S. The anti-malarial drug mefloquine disrupts central autonomic and respiratory control in the working heart brainstem preparation of the rat. J Biomed Sci. 2012;19:103.

26. Ritchie EC, Block J, Nevin RL. Psychiatric side effects of mefloquine: applications to forensic psychiatry. J Am Acad Psychiatry Law. 2013;41(2):224-235.

27. Belliveau JW, Kennedy DN Jr, McKinstry RC, et al. Functional mapping of the human visual cortex by magnetic resonance imaging. Science. 1991;254(5032):716-719.

28. Ito A, Abe N, Fujii T, et al. The contribution of the dorsolateral prefrontal cortex to the preparation for deception and truth-telling. Brain Res. 2012;1464:43-52.

29. Langleben DD, Hakun JG, Seelig D. Polygraphy and functional magnetic resonance imaging in lie detection: a controlled blind comparison using the concealed information test. J Clin Psychiatry. 2016;77(10):1372-1380.

30. Boire RG. Searching the brain: the Fourth Amendment implications of brain-based deception detection devices. Am J Bioeth. 2005;5(2):62-63; discussion W5.

31. Langleben DD. Detection of deception with fMRI: Are we there yet? Legal Criminological Psychol. 2008;13(1):1-9.

32. Marcuse LV, Fields MC, Yoo J. Rowans Primer of EEG. 2nd ed. Edinburgh, Scotland, United Kingdom: Elsevier; 2016.

33. Farwell LA, Donchin E. The truth will out: interrogative polygraphy (“lie detection”) with event-related brain potentials. Psychophysiology. 1991;28(5):531-547.

34. Sur S, Sinha VK. Event-related potential: an overview. Ind Psychiatry J. 2009;18(1):70-73.

35. Polich J. Updating P300: an integrative theory of P3a and P3b. Clinical Neurophysiol. 2007;118(10):2128-2148.

36. Mertens R, Allen, JJB. The role of psychophysiology in forensic assessments: Deception detection, ERPs, and virtual reality mock crime scenarios. Psychophysiology. 2008;45(2):286-298.

37. Rosenfeld JP, Labkovsky E. New P300-based protocol to detect concealed information: resistance to mental countermeasures against only half the irrelevant stimuli and a possible ERP indicator of countermeasures. Psychophysiology. 2010;47(6):1002-1010.

38. Farwell LA, Smith SS. Using brain MERMER testing to detect knowledge despite efforts to conceal. J Forensic Sci. 2001;46(1):135-143.

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Enoxaparin vs Continuous Heparin for Periprocedural Bridging in Patients With Atrial Fibrillation and Advanced Chronic Kidney Disease

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Bridging with enoxaparin rather than heparin has the potential to reduce the length of hospital stay, incidence of nosocomial infections, and cost of hospitalization.

There has been a long-standing controversy in the use of parenteral anticoagulation for perioperative bridging in patients with atrial fibrillation (AF) pursuing elective surgery.1 The decision to bridge is dependent on the patient’s risk of thromboembolic complications and susceptibility to bleed.1 The BRIDGE trial showed noninferiority in rate of stroke and embolism events between low molecular weight heparins (LMWHs) and no perioperative bridging.2 However, according to the American College of Chest Physicians (CHEST) 2012 guidelines, patients in the BRIDGE trial would be deemed low risk for thromboembolic events displayed by a mean CHADS2 (congestive heart failure [CHF], hypertension, age, diabetes mellitus, and stroke/transient ischemic attack) score of 2.3. Also, the BRIDGE study and many others excluded patients with advanced forms of chronic kidney disease (CKD).2,3

Similar to patients with AF, patients with advanced CKD (ACKD, stage 4 and 5 CKD) have an increased risk of stroke and venous thromboembolism (VTE).4,5 Patients with AF and ACKD have not been adequately studied for perioperative anticoagulation bridging outcomes. Although unfractionated heparin (UFH) is preferred over LMWH in ACKD patients,enoxaparin can be used in this population.1,6 Enoxaparin 1 mg/kg once daily is approved by the US Food and Drug Administration (FDA) for use in patients with severe renal insufficiency defined as creatinine clearance (CrCl) < 30 mL/min. This dosage adjustment is subsequent to studies with enoxaparin 1 mg/kg twice daily that showed a significant increase in major and minor bleeding in severe renal-insufficient patients with CrCl < 30 mL/min vs patients with CrCl > 30 mL/min.7 When comparing the myocardial infarction (MI) outcomes of severe renal-insufficient patients in the ExTRACT-TIMI 25 trial, enoxaparin 1 mg/kg once daily had no significant difference in nonfatal major bleeding vs UFH.8 In patients without renal impairment (no documentation of kidney disease), bridging therapy with LMWH was completed more than UFH in < 24 hours of hospital stay and with similar rates of VTEs and major bleeding.9 In addition to its ability to be administered outpatient, enoxaparin has a more predictable pharmacokinetic profile, allowing for less monitoring and a lower incidence of heparin-induced thrombocytopenia (HIT) vs that of UFH.6

The Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas, is one of the largest US Department of Veterans Affairs (VA) hospitals in the US, managing > 150,000 veterans in Southeast Texas and other southern states. As a referral center for traveling patients, it is crucial that MEDVAMC decrease hospital length of stay (LOS) to increase space for incoming patients. Reducing LOS also reduces costs and may have a correlation with decreasing the incidence of nosocomial infections. Because of its significance to this facility, hospital LOS is an appropriate primary outcome for this study.

To our knowledge, bridging outcomes between LMWH and UFH in patients with AF and ACKD have never been studied. We hypothesized that using enoxaparin instead of heparin for periprocedural management would result in decreased hospital LOS, leading to a lower economic burden and lower incidence of nosocomial infections with no significant differences in major and minor bleeding and thromboembolic complications.10

 

 

Methods

This study was a single-center, retrospective chart review of adult patients from January 2008 to September 2017. The review was conducted at MEDVAMC and was approved by the research and development committee and by the Baylor College of Medicine Institutional Review Board. Formal consent was not required.

Included patients were aged ≥ 18 years with diagnoses of AF or atrial flutter and ACKD as recognized by a glomerular filtration rate (eGFR) of < 30 mL/min/1.73 m2 as calculated by use of the Modification of Diet in Renal Disease Study (MDRD) equation.11 Patients must have previously been on warfarin and required temporary interruption of warfarin for an elective procedure. During the interruption of warfarin therapy, a requirement was set for patients to be on periprocedural anticoagulation with subcutaneous (SC) enoxaparin 1 mg/kg daily or continuous IV heparin per MEDVAMC heparin protocol. Patients were excluded if they had experienced major bleeding in the 6 weeks prior to the elective procedure, had current thrombocytopenia (platelet count < 100 × 109/L), or had a history of heparin-induced thrombocytopenia (HIT) or a heparin allergy.

This patient population was identified using TheraDoc Clinical Surveillance Software System (Charlotte, NC), which has prebuilt alert reviews for anticoagulation medications, including enoxaparin and heparin. An alert for patients on enoxaparin with serum creatinine (SCr) > 1.5 mg/dL was used to screen patients who met the inclusion criteria. A second alert identified patients on heparin. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Economic Analysis

An economic analysis was conducted using data from the VA Managerial Cost Accounting Reports. Data on the national average cost per bed day was used for the purpose of extrapolating this information to multiple VA institutions.12 National average cost per day was determined by dividing the total cost by the number of bed days for the identified treating specialty during the fiscal period of 2018. Average cost per day data included costs for bed day, surgery, radiology services, laboratory tests, pharmacy services, treatment location (ie, intensive care units [ICUs]) and all other costs associated with an inpatient stay. A cost analysis was performed using this average cost per bed day and the mean LOS between enoxaparin and UFH for each treating specialty. The major outcome of the cost analysis was the total cost per average inpatient stay. The national average cost per bed day for each treating specialty was multiplied by the average LOS found for each treating specialty in this study; the sum of all the average costs per inpatient stay for the treating specialties resulted in the total cost per average inpatient stay. Permission to use these data was granted by the Pharmacy and Critical Care Services at MEDVAMC.

Patient Demographics and Characteristics

Data were collected on patient demographics (Table 1). Nosocomial infections, stroke/transient ischemic attack, MI, VTE, major and minor bleeding, and death are defined in Table 2.

The primary outcome of the study was hospital LOS. The study was powered at 90% for α = .05, which gives a required study population of 114 (1:1 enrollment ratio) patients to determine a statistically significant difference in hospital stay. This sample size was calculated using the mean hospital LOS (the primary objective) in the REGIMEN registry for LMWH (4.6 days) and UFH (10.3 days).9 To our knowledge, the incidence of nosocomial infections (a secondary outcome) has not been studied in this patient population; therefore, there was no basis to assess an appropriate sample size to find a difference in this outcome. Furthermore, the goal was to collect as many patients as possible to best assess this variable. Because of an expected high exclusion rate, 504 patients were reviewed to target a sample size of 120 patients. Due to the single-center nature of this review, the secondary outcomes of thromboembolic complications and major and minor bleeding were expected to be underpowered.

The final analysis compared the enoxaparin arm with the UFH arm. Univariate differences between the treatment groups were compared using the Fisher exact test for categorical variables. Demographic data and other continuous variables were analyzed by an unpaired t test to compare means between the 2 arms. Outcomes and characteristics were deemed statistically significant when α (P value) was < .05. All P values reported were 2-tailed with a 95% CI. No statistical analysis was performed for the cost differences (based on LOS per treating specialty) in the 2 treatment arms. Statistical analyses were completed by utilizing GraphPad Software (San Diego, CA).

 

 

Results

In total, 50 patients were analyzed in the study. There were 36 patients bridged with IV UFH at a concentration of 25,000 U/250 mL with an initial infusion rate of 12 U/kg/h. For the other arm, 14 patients were anticoagulated with renally dosed enoxaparin 1 mg/kg/d with an average daily dose of 89.3 mg; the mean actual body weight in this group was 90.9 mg (correlates with enoxaparin daily dose). Physicians of the primary team decided which parenteral anticoagulant to use. The difference in mean duration of inpatient parental anticoagulation between both groups was not statistically significant: enoxaparin at 7.1 days and UFH at 9.6 days (P = .19). Patients in the enoxaparin arm were off warfarin therapy for an average of 6.0 days vs 7.5 days for the UFH group (P = .29). The duration of outpatient anticoagulation with enoxaparin was not analyzed in this study.

Patient and Procedure Characteristics

All patients had AF or atrial flutter with 86% of patients (n = 43) having a CHADS2 > 2 and 48% (n = 29) having a CHA2DS2VASc > 4. Overall, the mean age was 71.3 years with similarities in ethnicity distribution. Patients had multiple comorbidities as shown by a mean Charlson Comorbidity Index (CCI) of 7.7 and an increased risk of bleeding as evidenced by 98% (n = 48) of patients having a HAS-BLED score of ≥ 3. A greater percentage of patients bridged with enoxaparin had DM, history of stroke and MI, and a heart valve, whereas UFH patients were more likely to be in stage 5 CKD (eGFR < 15 mL/min/1.73m2) with a significantly lower mean eGFR (16.76 vs 22.64, P = .03). Furthermore, there were more patients on hemodialysis in the UFH (50%) arm vs enoxaparin (21%) arm and a lower mean CrCl with UFH (20.1 mL/min) compared with enoxaparin (24.9 mL/min); however, the differences in hemodialysis and mean CrCl were not statistically significant. There were no patients on peritoneal dialysis in this review.

Procedure Characteristics

The average Revised Cardiac Risk Index (RCRI) score was about 3, indicating that these patients were at a Class IV risk (11%) of having a perioperative cardiac event (Table 3). Nineteen patients (38%) elected for a major surgery with all but 1 of the surgeries (major or minor) being invasive. The average length of surgery was 1.2 hours, and patients were more likely to undergo cardiothoracic procedures (38%). There were 2 out of 14 (14%) patients on enoxaparin who were able to have surgery as an outpatient; whereas this did not occur in patients on UFH. The procedures completed for these patients were a colostomy (minor surgery) and arteriovenous graft repair (major surgery). There were no statistically significant differences regarding types of procedures between the 2 arms.

Outcomes

The primary outcome of this study, hospital LOS, differed significantly in the enoxaparin arm vs UFH: 10.2 days vs 17.5 days, P = .04 (Table 4). The time-to-discharge from initiation of parenteral anticoagulation was significantly reduced with enoxaparin (7.1 days) compared with UFH (11.9 days); P = .04. Although also reduced in the enoxaparin arm, ICU LOS did not show statistical significance (1.1 days vs 4.0 days, P = .09).

About 36% (n = 18) of patients in this study acquired an infection during hospitalization for elective surgery. The most common microorganism and site of infection were Enterococcus species and urinary tract, respectively (Table 5). Nearly half (44%, n = 16) of the patients in the UFH group had a nosocomial infection vs 14% (n = 2) of enoxaparin-bridged patients with a difference approaching significance; P = .056. Both patients in the enoxaparin group had the urinary tract as the primary source of infection; 1 of these patients had a urologic procedure.

Major bleeding occurred in 7% (n = 1) of enoxaparin patients vs 22% (n = 8) in the UFH arm, but this was not found to be statistically significant (P = .41). Minor bleeding was similar between enoxaparin and UFH arms (14% vs 19%, P = .99). Regarding thromboembolic complications, the enoxaparin group (0%) had a numerical reduction compared to UFH (11%) with VTE (n = 4) being the only occurrence of the composite outcome (P = .57). There were 4 deaths within 30 days posthospitalization—all were from the UFH group (P = .57). Due to the small sample size of this study, these outcomes (bleeding and thrombotic events) were not powered to detect a statistically significant difference.

 

 

Economic Analysis

The average cost differences (Table 6) of hospitalization between enoxaparin and UFH were calculated using the average LOS per treating specialty multiplied by the national average cost of the MCO for an inpatient bed day in 2018.12 The treating specialty with the longest average LOS in the enoxaparin arm was thoracic (4.7 days). The UFH arm also had a large LOS (average days) for the thoracic specialty (6.4 days); however, the vascular specialty (6.7 days) had the longest average LOS in this group. Due to a mean LOS of 10.2 days in the enoxaparin arm, which was further stratified by treating specialty, the total cost per average inpatient stay was calculated as $51,710. On the other hand, patients in the UFH arm had a total cost per average inpatient stay of $92,848.

Monitoring

Anti-factor Xa levels for LMWH monitoring were not analyzed in this study due to a lack of values collected; only 1 patient had an anti-factor Xa level checked during this time frame. Infusion rates of UFH were adjusted based on aPTT levels collected per MEDVAMC inpatient anticoagulation protocol. The average percentage of aPTT in therapeutic range was 46.3% and the mean time-to-therapeutic range (SD) was about 2.4 (1.3) days. Due to this study’s retrospective nature, there were inconsistencies with availability of documentation of UFH infusion rates. For this reason, these values were not analyzed further.

Discussion

In 2017, the American College of Cardiology published the Periprocedural Anticoagulation Expert Consensus Pathway, which recommends for patients with AF at low risk (CHA2DS2VASc 1-4) of thromboembolism to not be bridged (unless patient had a prior VTE or stroke/TIA).13 Nearly half the patients in this study, were classified as moderate-to-high thrombotic risk as evidenced by a CHA2DS2VASc > 4 with a mean score of 4.8. Due to this study’s retrospective design from 2008 to 2017, many of the clinicians may have referenced the 2008 CHEST antithrombotic guidelines when making the decision to bridge patients; these guidelines and the previous MEDVAMC anticoagulation protocol recommend bridging patients with AF with CHADS2 > 2 (moderate-to-high thrombotic risk) in which all but 1 of the patients in this study met criteria.1,14 In contrast to the landmark BRIDGE trial, the mean CHADS2 score in this study was 3.6; this is an indication that our patient population was of individuals at an increased risk of stroke and embolism.

 

 

In addition to thromboembolic complications, patients in the current study also were at increased risk of clinically relevant bleeding with a mean HAS-BLED score of 4.1 and nearly all patients having a score > 3. The complexity of the veteran population also was displayed by this study’s mean CCI (7.7) and RCRI (3.0) indicating a 0% estimated 10-year survival and a 11% increase in having a perioperative cardiac event, respectively. A mean CCI of 7.7 is associated with a 13.3 relative risk of death within 6 years postoperation.15 All patients had a diagnosis of hypertension, and > 75% had this diagnosis complicated by DM. In addition, this patient population was of those with extensive cardiovascular disease or increased risk, which makes for a clinically relevant application of patients who would require periprocedural bridging.

Another positive aspect of this study is that all the baseline characteristics, apart from renal function, were similar between arms, helping to strengthen the ability to adequately compare the 2 bridging modalities. Our assumption for the reasoning that more stage 5 CKD and dialysis patients were anticoagulated with UFH vs enoxaparin is a result of concern for an increased risk of bleeding with a medication that is renally cleared 30% less in CrCl < 30 mL/min.16 Although, enoxaparin 1 mg/kg/d is FDA approved as a therapeutic anticoagulant option, clinicians at MEDVAMC likely had reservations about its use in end-stage CKD patients. Unlike many studies, including the BRIDGE trial, patients with ACKD were not excluded from this trial, and the outcomes with enoxaparin are available for interpretation.

To no surprise, for patients included in this study, enoxaparin use led to shorter hospital LOS, reduced ICU LOS, and a quicker time-to-discharge from initiation. This is credited to the 100% bioavailability of SC enoxaparin in conjunction with its means to be a therapeutic option as an outpatient.16 Unlike IV UFH, patients requiring bridging can be discharged on SC injections of enoxaparin until a therapeutic INR is maintained with warfarin.The duration of hospital LOS in both arms were longer in this study compared with that of other studies.9 This may be due to clinicians being more cautious with renal insufficient patients, and the patients included in this study had multiple comorbidities. According to an economic analysis performed by Amorosi and colleagues in 2004, bridging with enoxaparin instead of UFH can save up to $3,733 per patient and reduce bridging costs by 63% to 85% driven primarily by decreased hospital LOS.10

Economic Outcome

In our study, we conducted a cost analysis using national VA data that indicated a $41,138 or 44% reduction in total cost per average inpatient stay when bridging 1 patient with enoxaparin vs UFH. The benefit of this cost analysis is that it reflects direct costs at VA institutions nationally; this will allow these data to be useful for practitioners at MEDVAMC and other VA hospitals. Stratifying the costs by treating specialty instead of treatment location minimized skewing of the data as there were some patients with long LOS in the ICU. No patients in the enoxaparin arm were treated in otolaryngology, which may have skewed the data. The data included direct costs for beds as well as costs for multiple services, such as procedures, pharmacy, nursing, laboratory tests, and imaging. Unlike the Amorosi study, our review did not include acquisition costs for enoxaparin syringes and bags of UFH or laboratory costs for aPTT and anti-factor Xa levels in part because of the data source and the difficulty calculating costs over a 10-year span.

 

 

Patients in the enoxaparin arm had a trend toward fewer occurrences of hospital-acquired infections than did those in the UFH arm, which we believe is due to a decreased LOS (in both total hospital and ICU days) and fewer blood draws needed for monitoring. This also may be attributed to a longer mean duration of surgery in the UFH arm (1.3 hours) vs enoxaparin (0.9 hours). The percentage of patients with procedures ≥ 45 minutes and the types of procedures between both arms were similar. However, these outcomes were not statistically significant. In addition, elderly males who are hospitalized may require a catheter (due to urinary retention), and catheter-associated urinary tract infection (CAUTI) is one of the highest reported infections in acute care hospitals in the US. This is in line with our patient population and may be a supplementary reason for the increase in infection incidence with UFH. Though, whether urinary catheters were used in these patients was not evaluated in this study.

Despite being at an increased risk of experiencing a major adverse cardiovascular event (MACE), no patients in either arm had a stroke/TIA or MI within 30 days postprocedure. The only occurrences documented were VTEs, which happened only in 4 patients on UFH. Four people died in this study, solely in the UFH arm. The incidence of thromboembolic complications and death along with major and minor bleeding cannot be deduced as meaningful as this study was underpowered for these outcomes. Despite anti-factor Xa monitoring being recommended in ACKD patients on enoxaparin, this monitoring was not routinely performed in this study. Another limitation was the inability to adequately assess the appropriateness of nurse-adjusted UFH infusion rates largely due to the retrospective nature of this study. The variability of aPTT percentage in therapeutic range and time-to-therapeutic range reported was indicative of the difficulties of monitoring for the safety and efficacy of UFH.

In 1991, Cruickshank and colleagues conducted a study in which a standard nomogram (similar to the MEDVAMC nomogram) for the adjustment of IV heparin was implemented at a single hospital.17 The success rate (aPTT percentage in therapeutic range) was 59.4% and average time-to-therapeutic range was about 1 day. The success rate (46.3%) and time-to-therapeutic range (2.4 days) in our study were lower and longer, respectively, than was expected. One potential reason for this discrepancy could be the differences in indication as the patients in Cruickshank and colleagues were being treated for VTE, whereas patients in our study had AF or atrial flutter. Also, there were inconsistencies in the availability of documentation of monitoring parameters for heparin due to the study time frame and retrospective design. Patients on UFH who are not within the therapeutic range in a timely manner are at greater risk of MACE and major/minor bleeding. Our study was not powered to detect these findings.

Strengths and Limitations

A significant limitation of this study was its small sample size; the study was not able to meet power for the primary outcome; it is unknown whether our study met power for nosocomial infections. The study also was not a powered review of other adverse events, such as thromboembolic complications, bleeding, and death. The study had an uneven number of patients, which made it more difficult to appropriately compare 2 patient populations; the study also did not include medians for patient characteristics and outcomes.

 

 

Due to this study’s time frame, the clinical pharmacy services at MEDVAMC were not as robust as they are now, which is the reason the decisions on which anticoagulant to use were primarily physician based. The use of TheraDoc to identify patients posed the risk of missing patients who may not have had the appropriate laboratory tests performed (ie, SCr). Patients on UFH had a reduced eGFR compared with that of enoxaparin, which may limit our extrapolation of enoxaparin’s use in end-stage renal disease. The reduced eGFR and higher number of dialysis patients in the UFH arm may have increased the occurrence of more labile INRs and bleeding outcomes. Patients on hemodialysis typically have more comorbidities and an increased risk of infection due to the frequent use of catheters and needles to access the bloodstream. In addition, the potential differences in catheter use and duration between groups were not identified. If these parameters were studied, the data collected may have helped better explain the reasoning for increased incidence of infection in the UFH arm.

Strengths of this study include a complex patient population with similar characteristics, distribution of ethnicities representative of the US population, patients at moderate-to-high thrombotic risk, the analysis of nosocomial infections, and the exclusion of patients with normal renal function or moderate CKD.

Conclusion

To our knowledge, this is the first study to compare periprocedural bridging outcomes and incidence of nosocomial infections in patients with AF and ACKD. This review provides new evidence that in this patient population, enoxaparin is a potential anticoagulant to reduce hospital LOS and hospital-acquired infections. Compared with UFH, bridging with enoxaparin reduced hospital LOS and anticoagulation time-to-discharge by 7 and 5 days, respectively, and decreased the incidence of nosocomial infections by 30%. Using the mean LOS per treating specialty for both arms, bridging 1 patient with AF with enoxaparin vs UFH can potentially lead to an estimated $40,000 (44%) reduction in total cost of hospitalization. Enoxaparin also had no numeric differences in mortality and adverse events (stroke/TIA, MI, VTE) vs that of UFH, but it is important to note that this study was not powered to find a significant difference in these outcomes. Due to the mean eGFR of patients on enoxaparin being 22.6 mL/min/1.73 m2 and only 1 in 5 having stage 5 CKD, at this time, we do not recommend enoxaparin for periprocedural use in stage 5 CKD or in patients on hemodialysis. Larger studies are needed, including randomized trials, in this patient population to further evaluate these outcomes and assess the use of enoxaparin in patients with ACKD.

References

1. Douketis JD, Spyropoulos AC, Spencer FA, et al. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest. 2012;141(2)(suppl):e326S-350S.

2. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823-833.

3. Hammerstingl C, Schmitz A, Fimmers R, Omran H. Bridging of chronic oral anticoagulation with enoxaparin in patients with atrial fibrillation: results from the prospective BRAVE registry. Cardiovasc Ther. 2009;27(4):230-238.

4. Dad T, Weiner DE. Stroke and chronic kidney disease: epidemiology, pathogenesis, and management across kidney disease stages. Semin Nephrol. 2015;35(4):311-322.

5. Wattanakit K, Cushman M. Chronic kidney disease and venous thromboembolism: epidemiology and mechanisms. Curr Opin Pulm Med. 2009;15(5):408-412.

6. Saltiel M. Dosing low molecular weight heparins in kidney disease. J Pharm Pract. 2010;23(3):205-209.

7. Spinler SA, Inverso SM, Cohen M, Goodman SG, Stringer KA, Antman EM; ESSENCE and TIMI 11B Investigators. Safety and efficacy of unfractionated heparin versus enoxaparin in patients who are obese and patients with severe renal impairment: analysis from the ESSENCE and TIMI 11B studies. Am Heart J. 2003;146(1):33-41.

8. Fox KA, Antman EM, Montalescot G, et al. The impact of renal dysfunction on outcomes in the ExTRACT-TIMI 25 trial. J Am Coll Cardiol. 2007;49(23):2249-2255.

9. Spyropoulos AC, Turpie AG, Dunn AS, et al; REGIMEN Investigators. Clinical outcomes with unfractionated heparin or low-molecular-weight heparin as bridging therapy in patients on long-term oral anticoagulants: the REGIMEN registry. J Thromb Haemost. 2006;4(6):1246-1252.

10. Amorosi SL, Tsilimingras K, Thompson D, Fanikos J, Weinstein MC, Goldhaber SZ. Cost analysis of “bridging therapy” with low-molecular-weight heparin versus unfractionated heparin during temporary interruption of chronic anticoagulation. Am J Cardiol. 2004;93(4):509-511.

11. Inker LA, Astor BC, Fox CH, et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014;63(5):713-735.

12. US Department of Veteran Affairs. Managerial Cost Accounting Financial User Support Reports: fiscal year 2018. https://www.herc.research.va.gov/include/page.asp?id=managerial-cost-accounting. [Source not verified.]

13. Doherty JU, Gluckman TJ, Hucker WJ, et al. 2017 ACC Expert Consensus Decision Pathway for Periprocedural Management of Anticoagulation in Patients With Nonvalvular Atrial Fibrillation: a report of the American College of Cardiology Clinical Expert Consensus Document Task Force. J Am Coll Cardiol. 2017;69(7):871-898.

14. Kearon C, Kahn SR, Agnelli G, et al. Antithrombotic therapy for venous thromboembolic disease: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition). Chest. 2008;133(6 suppl):454S-545S.

15. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245-1251. 

16. Lovenox [package insert]. Bridgewater, NJ: Sanofi-Aventis; December 2017.

17. Cruickshank MK, Levine MN, Hirsh J, Roberts R, Siguenza M. A standard heparin nomogram for the management of heparin therapy. Arch Intern Med. 1991;151(2):333-337.

18. Steinberg BA, Peterson ED, Kim S, et al; Outcomes Registry for Better Informed Treatment of Atrial Fibrillation Investigators and Patients. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF). Circulation. 2015;131(5):488-494.

19. Verheugt FW, Steinhubl SR, Hamon M, et al. Incidence, prognostic impact, and influence of antithrombotic therapy on access and nonaccess site bleeding in percutaneous coronary intervention. JACC Cardiovasc Interv. 2011;4(2):191-197.

20. Bijsterveld NR, Peters RJ, Murphy SA, Bernink PJ, Tijssen JG, Cohen M. Recurrent cardiac ischemic events early after discontinuation of short-term heparin treatment in acute coronary syndromes: results from the Thrombolysis in Myocardial Infarction (TIMI) 11B and Efficacy and Safety of Subcutaneous Enoxaparin in Non-Q-Wave Coronary Events (ESSENCE) studies. J Am Coll Cardiol. 2003;42(12):2083-2089.

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Chandler Schexnayder is a Home-Based Primary Care Clinical Pharmacy Specialist, and Christine Aguilar is an Inpatient Surgery Clinical Pharmacy Specialist, both at the Michael E. DeBakey VA Medical Center in Houston, Texas. Kathleen Morneau is a Clinical Pharmacy Specialist in the Medical Intensive Care Unit and Antimicrobial Stewardship at the Audie L. Murphy Veterans Hospital in San Antonio, Texas.
Correspondence: Chandler Schexnayder (chandler.schexnayder@ va.gov)

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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. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Chandler Schexnayder is a Home-Based Primary Care Clinical Pharmacy Specialist, and Christine Aguilar is an Inpatient Surgery Clinical Pharmacy Specialist, both at the Michael E. DeBakey VA Medical Center in Houston, Texas. Kathleen Morneau is a Clinical Pharmacy Specialist in the Medical Intensive Care Unit and Antimicrobial Stewardship at the Audie L. Murphy Veterans Hospital in San Antonio, Texas.
Correspondence: Chandler Schexnayder (chandler.schexnayder@ va.gov)

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The authors report no actual or potential conflicts of interest with regard to this article.

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. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Chandler Schexnayder is a Home-Based Primary Care Clinical Pharmacy Specialist, and Christine Aguilar is an Inpatient Surgery Clinical Pharmacy Specialist, both at the Michael E. DeBakey VA Medical Center in Houston, Texas. Kathleen Morneau is a Clinical Pharmacy Specialist in the Medical Intensive Care Unit and Antimicrobial Stewardship at the Audie L. Murphy Veterans Hospital in San Antonio, Texas.
Correspondence: Chandler Schexnayder (chandler.schexnayder@ va.gov)

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The authors report no actual or potential conflicts of interest with regard to this article.

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. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Bridging with enoxaparin rather than heparin has the potential to reduce the length of hospital stay, incidence of nosocomial infections, and cost of hospitalization.
Bridging with enoxaparin rather than heparin has the potential to reduce the length of hospital stay, incidence of nosocomial infections, and cost of hospitalization.

There has been a long-standing controversy in the use of parenteral anticoagulation for perioperative bridging in patients with atrial fibrillation (AF) pursuing elective surgery.1 The decision to bridge is dependent on the patient’s risk of thromboembolic complications and susceptibility to bleed.1 The BRIDGE trial showed noninferiority in rate of stroke and embolism events between low molecular weight heparins (LMWHs) and no perioperative bridging.2 However, according to the American College of Chest Physicians (CHEST) 2012 guidelines, patients in the BRIDGE trial would be deemed low risk for thromboembolic events displayed by a mean CHADS2 (congestive heart failure [CHF], hypertension, age, diabetes mellitus, and stroke/transient ischemic attack) score of 2.3. Also, the BRIDGE study and many others excluded patients with advanced forms of chronic kidney disease (CKD).2,3

Similar to patients with AF, patients with advanced CKD (ACKD, stage 4 and 5 CKD) have an increased risk of stroke and venous thromboembolism (VTE).4,5 Patients with AF and ACKD have not been adequately studied for perioperative anticoagulation bridging outcomes. Although unfractionated heparin (UFH) is preferred over LMWH in ACKD patients,enoxaparin can be used in this population.1,6 Enoxaparin 1 mg/kg once daily is approved by the US Food and Drug Administration (FDA) for use in patients with severe renal insufficiency defined as creatinine clearance (CrCl) < 30 mL/min. This dosage adjustment is subsequent to studies with enoxaparin 1 mg/kg twice daily that showed a significant increase in major and minor bleeding in severe renal-insufficient patients with CrCl < 30 mL/min vs patients with CrCl > 30 mL/min.7 When comparing the myocardial infarction (MI) outcomes of severe renal-insufficient patients in the ExTRACT-TIMI 25 trial, enoxaparin 1 mg/kg once daily had no significant difference in nonfatal major bleeding vs UFH.8 In patients without renal impairment (no documentation of kidney disease), bridging therapy with LMWH was completed more than UFH in < 24 hours of hospital stay and with similar rates of VTEs and major bleeding.9 In addition to its ability to be administered outpatient, enoxaparin has a more predictable pharmacokinetic profile, allowing for less monitoring and a lower incidence of heparin-induced thrombocytopenia (HIT) vs that of UFH.6

The Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas, is one of the largest US Department of Veterans Affairs (VA) hospitals in the US, managing > 150,000 veterans in Southeast Texas and other southern states. As a referral center for traveling patients, it is crucial that MEDVAMC decrease hospital length of stay (LOS) to increase space for incoming patients. Reducing LOS also reduces costs and may have a correlation with decreasing the incidence of nosocomial infections. Because of its significance to this facility, hospital LOS is an appropriate primary outcome for this study.

To our knowledge, bridging outcomes between LMWH and UFH in patients with AF and ACKD have never been studied. We hypothesized that using enoxaparin instead of heparin for periprocedural management would result in decreased hospital LOS, leading to a lower economic burden and lower incidence of nosocomial infections with no significant differences in major and minor bleeding and thromboembolic complications.10

 

 

Methods

This study was a single-center, retrospective chart review of adult patients from January 2008 to September 2017. The review was conducted at MEDVAMC and was approved by the research and development committee and by the Baylor College of Medicine Institutional Review Board. Formal consent was not required.

Included patients were aged ≥ 18 years with diagnoses of AF or atrial flutter and ACKD as recognized by a glomerular filtration rate (eGFR) of < 30 mL/min/1.73 m2 as calculated by use of the Modification of Diet in Renal Disease Study (MDRD) equation.11 Patients must have previously been on warfarin and required temporary interruption of warfarin for an elective procedure. During the interruption of warfarin therapy, a requirement was set for patients to be on periprocedural anticoagulation with subcutaneous (SC) enoxaparin 1 mg/kg daily or continuous IV heparin per MEDVAMC heparin protocol. Patients were excluded if they had experienced major bleeding in the 6 weeks prior to the elective procedure, had current thrombocytopenia (platelet count < 100 × 109/L), or had a history of heparin-induced thrombocytopenia (HIT) or a heparin allergy.

This patient population was identified using TheraDoc Clinical Surveillance Software System (Charlotte, NC), which has prebuilt alert reviews for anticoagulation medications, including enoxaparin and heparin. An alert for patients on enoxaparin with serum creatinine (SCr) > 1.5 mg/dL was used to screen patients who met the inclusion criteria. A second alert identified patients on heparin. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Economic Analysis

An economic analysis was conducted using data from the VA Managerial Cost Accounting Reports. Data on the national average cost per bed day was used for the purpose of extrapolating this information to multiple VA institutions.12 National average cost per day was determined by dividing the total cost by the number of bed days for the identified treating specialty during the fiscal period of 2018. Average cost per day data included costs for bed day, surgery, radiology services, laboratory tests, pharmacy services, treatment location (ie, intensive care units [ICUs]) and all other costs associated with an inpatient stay. A cost analysis was performed using this average cost per bed day and the mean LOS between enoxaparin and UFH for each treating specialty. The major outcome of the cost analysis was the total cost per average inpatient stay. The national average cost per bed day for each treating specialty was multiplied by the average LOS found for each treating specialty in this study; the sum of all the average costs per inpatient stay for the treating specialties resulted in the total cost per average inpatient stay. Permission to use these data was granted by the Pharmacy and Critical Care Services at MEDVAMC.

Patient Demographics and Characteristics

Data were collected on patient demographics (Table 1). Nosocomial infections, stroke/transient ischemic attack, MI, VTE, major and minor bleeding, and death are defined in Table 2.

The primary outcome of the study was hospital LOS. The study was powered at 90% for α = .05, which gives a required study population of 114 (1:1 enrollment ratio) patients to determine a statistically significant difference in hospital stay. This sample size was calculated using the mean hospital LOS (the primary objective) in the REGIMEN registry for LMWH (4.6 days) and UFH (10.3 days).9 To our knowledge, the incidence of nosocomial infections (a secondary outcome) has not been studied in this patient population; therefore, there was no basis to assess an appropriate sample size to find a difference in this outcome. Furthermore, the goal was to collect as many patients as possible to best assess this variable. Because of an expected high exclusion rate, 504 patients were reviewed to target a sample size of 120 patients. Due to the single-center nature of this review, the secondary outcomes of thromboembolic complications and major and minor bleeding were expected to be underpowered.

The final analysis compared the enoxaparin arm with the UFH arm. Univariate differences between the treatment groups were compared using the Fisher exact test for categorical variables. Demographic data and other continuous variables were analyzed by an unpaired t test to compare means between the 2 arms. Outcomes and characteristics were deemed statistically significant when α (P value) was < .05. All P values reported were 2-tailed with a 95% CI. No statistical analysis was performed for the cost differences (based on LOS per treating specialty) in the 2 treatment arms. Statistical analyses were completed by utilizing GraphPad Software (San Diego, CA).

 

 

Results

In total, 50 patients were analyzed in the study. There were 36 patients bridged with IV UFH at a concentration of 25,000 U/250 mL with an initial infusion rate of 12 U/kg/h. For the other arm, 14 patients were anticoagulated with renally dosed enoxaparin 1 mg/kg/d with an average daily dose of 89.3 mg; the mean actual body weight in this group was 90.9 mg (correlates with enoxaparin daily dose). Physicians of the primary team decided which parenteral anticoagulant to use. The difference in mean duration of inpatient parental anticoagulation between both groups was not statistically significant: enoxaparin at 7.1 days and UFH at 9.6 days (P = .19). Patients in the enoxaparin arm were off warfarin therapy for an average of 6.0 days vs 7.5 days for the UFH group (P = .29). The duration of outpatient anticoagulation with enoxaparin was not analyzed in this study.

Patient and Procedure Characteristics

All patients had AF or atrial flutter with 86% of patients (n = 43) having a CHADS2 > 2 and 48% (n = 29) having a CHA2DS2VASc > 4. Overall, the mean age was 71.3 years with similarities in ethnicity distribution. Patients had multiple comorbidities as shown by a mean Charlson Comorbidity Index (CCI) of 7.7 and an increased risk of bleeding as evidenced by 98% (n = 48) of patients having a HAS-BLED score of ≥ 3. A greater percentage of patients bridged with enoxaparin had DM, history of stroke and MI, and a heart valve, whereas UFH patients were more likely to be in stage 5 CKD (eGFR < 15 mL/min/1.73m2) with a significantly lower mean eGFR (16.76 vs 22.64, P = .03). Furthermore, there were more patients on hemodialysis in the UFH (50%) arm vs enoxaparin (21%) arm and a lower mean CrCl with UFH (20.1 mL/min) compared with enoxaparin (24.9 mL/min); however, the differences in hemodialysis and mean CrCl were not statistically significant. There were no patients on peritoneal dialysis in this review.

Procedure Characteristics

The average Revised Cardiac Risk Index (RCRI) score was about 3, indicating that these patients were at a Class IV risk (11%) of having a perioperative cardiac event (Table 3). Nineteen patients (38%) elected for a major surgery with all but 1 of the surgeries (major or minor) being invasive. The average length of surgery was 1.2 hours, and patients were more likely to undergo cardiothoracic procedures (38%). There were 2 out of 14 (14%) patients on enoxaparin who were able to have surgery as an outpatient; whereas this did not occur in patients on UFH. The procedures completed for these patients were a colostomy (minor surgery) and arteriovenous graft repair (major surgery). There were no statistically significant differences regarding types of procedures between the 2 arms.

Outcomes

The primary outcome of this study, hospital LOS, differed significantly in the enoxaparin arm vs UFH: 10.2 days vs 17.5 days, P = .04 (Table 4). The time-to-discharge from initiation of parenteral anticoagulation was significantly reduced with enoxaparin (7.1 days) compared with UFH (11.9 days); P = .04. Although also reduced in the enoxaparin arm, ICU LOS did not show statistical significance (1.1 days vs 4.0 days, P = .09).

About 36% (n = 18) of patients in this study acquired an infection during hospitalization for elective surgery. The most common microorganism and site of infection were Enterococcus species and urinary tract, respectively (Table 5). Nearly half (44%, n = 16) of the patients in the UFH group had a nosocomial infection vs 14% (n = 2) of enoxaparin-bridged patients with a difference approaching significance; P = .056. Both patients in the enoxaparin group had the urinary tract as the primary source of infection; 1 of these patients had a urologic procedure.

Major bleeding occurred in 7% (n = 1) of enoxaparin patients vs 22% (n = 8) in the UFH arm, but this was not found to be statistically significant (P = .41). Minor bleeding was similar between enoxaparin and UFH arms (14% vs 19%, P = .99). Regarding thromboembolic complications, the enoxaparin group (0%) had a numerical reduction compared to UFH (11%) with VTE (n = 4) being the only occurrence of the composite outcome (P = .57). There were 4 deaths within 30 days posthospitalization—all were from the UFH group (P = .57). Due to the small sample size of this study, these outcomes (bleeding and thrombotic events) were not powered to detect a statistically significant difference.

 

 

Economic Analysis

The average cost differences (Table 6) of hospitalization between enoxaparin and UFH were calculated using the average LOS per treating specialty multiplied by the national average cost of the MCO for an inpatient bed day in 2018.12 The treating specialty with the longest average LOS in the enoxaparin arm was thoracic (4.7 days). The UFH arm also had a large LOS (average days) for the thoracic specialty (6.4 days); however, the vascular specialty (6.7 days) had the longest average LOS in this group. Due to a mean LOS of 10.2 days in the enoxaparin arm, which was further stratified by treating specialty, the total cost per average inpatient stay was calculated as $51,710. On the other hand, patients in the UFH arm had a total cost per average inpatient stay of $92,848.

Monitoring

Anti-factor Xa levels for LMWH monitoring were not analyzed in this study due to a lack of values collected; only 1 patient had an anti-factor Xa level checked during this time frame. Infusion rates of UFH were adjusted based on aPTT levels collected per MEDVAMC inpatient anticoagulation protocol. The average percentage of aPTT in therapeutic range was 46.3% and the mean time-to-therapeutic range (SD) was about 2.4 (1.3) days. Due to this study’s retrospective nature, there were inconsistencies with availability of documentation of UFH infusion rates. For this reason, these values were not analyzed further.

Discussion

In 2017, the American College of Cardiology published the Periprocedural Anticoagulation Expert Consensus Pathway, which recommends for patients with AF at low risk (CHA2DS2VASc 1-4) of thromboembolism to not be bridged (unless patient had a prior VTE or stroke/TIA).13 Nearly half the patients in this study, were classified as moderate-to-high thrombotic risk as evidenced by a CHA2DS2VASc > 4 with a mean score of 4.8. Due to this study’s retrospective design from 2008 to 2017, many of the clinicians may have referenced the 2008 CHEST antithrombotic guidelines when making the decision to bridge patients; these guidelines and the previous MEDVAMC anticoagulation protocol recommend bridging patients with AF with CHADS2 > 2 (moderate-to-high thrombotic risk) in which all but 1 of the patients in this study met criteria.1,14 In contrast to the landmark BRIDGE trial, the mean CHADS2 score in this study was 3.6; this is an indication that our patient population was of individuals at an increased risk of stroke and embolism.

 

 

In addition to thromboembolic complications, patients in the current study also were at increased risk of clinically relevant bleeding with a mean HAS-BLED score of 4.1 and nearly all patients having a score > 3. The complexity of the veteran population also was displayed by this study’s mean CCI (7.7) and RCRI (3.0) indicating a 0% estimated 10-year survival and a 11% increase in having a perioperative cardiac event, respectively. A mean CCI of 7.7 is associated with a 13.3 relative risk of death within 6 years postoperation.15 All patients had a diagnosis of hypertension, and > 75% had this diagnosis complicated by DM. In addition, this patient population was of those with extensive cardiovascular disease or increased risk, which makes for a clinically relevant application of patients who would require periprocedural bridging.

Another positive aspect of this study is that all the baseline characteristics, apart from renal function, were similar between arms, helping to strengthen the ability to adequately compare the 2 bridging modalities. Our assumption for the reasoning that more stage 5 CKD and dialysis patients were anticoagulated with UFH vs enoxaparin is a result of concern for an increased risk of bleeding with a medication that is renally cleared 30% less in CrCl < 30 mL/min.16 Although, enoxaparin 1 mg/kg/d is FDA approved as a therapeutic anticoagulant option, clinicians at MEDVAMC likely had reservations about its use in end-stage CKD patients. Unlike many studies, including the BRIDGE trial, patients with ACKD were not excluded from this trial, and the outcomes with enoxaparin are available for interpretation.

To no surprise, for patients included in this study, enoxaparin use led to shorter hospital LOS, reduced ICU LOS, and a quicker time-to-discharge from initiation. This is credited to the 100% bioavailability of SC enoxaparin in conjunction with its means to be a therapeutic option as an outpatient.16 Unlike IV UFH, patients requiring bridging can be discharged on SC injections of enoxaparin until a therapeutic INR is maintained with warfarin.The duration of hospital LOS in both arms were longer in this study compared with that of other studies.9 This may be due to clinicians being more cautious with renal insufficient patients, and the patients included in this study had multiple comorbidities. According to an economic analysis performed by Amorosi and colleagues in 2004, bridging with enoxaparin instead of UFH can save up to $3,733 per patient and reduce bridging costs by 63% to 85% driven primarily by decreased hospital LOS.10

Economic Outcome

In our study, we conducted a cost analysis using national VA data that indicated a $41,138 or 44% reduction in total cost per average inpatient stay when bridging 1 patient with enoxaparin vs UFH. The benefit of this cost analysis is that it reflects direct costs at VA institutions nationally; this will allow these data to be useful for practitioners at MEDVAMC and other VA hospitals. Stratifying the costs by treating specialty instead of treatment location minimized skewing of the data as there were some patients with long LOS in the ICU. No patients in the enoxaparin arm were treated in otolaryngology, which may have skewed the data. The data included direct costs for beds as well as costs for multiple services, such as procedures, pharmacy, nursing, laboratory tests, and imaging. Unlike the Amorosi study, our review did not include acquisition costs for enoxaparin syringes and bags of UFH or laboratory costs for aPTT and anti-factor Xa levels in part because of the data source and the difficulty calculating costs over a 10-year span.

 

 

Patients in the enoxaparin arm had a trend toward fewer occurrences of hospital-acquired infections than did those in the UFH arm, which we believe is due to a decreased LOS (in both total hospital and ICU days) and fewer blood draws needed for monitoring. This also may be attributed to a longer mean duration of surgery in the UFH arm (1.3 hours) vs enoxaparin (0.9 hours). The percentage of patients with procedures ≥ 45 minutes and the types of procedures between both arms were similar. However, these outcomes were not statistically significant. In addition, elderly males who are hospitalized may require a catheter (due to urinary retention), and catheter-associated urinary tract infection (CAUTI) is one of the highest reported infections in acute care hospitals in the US. This is in line with our patient population and may be a supplementary reason for the increase in infection incidence with UFH. Though, whether urinary catheters were used in these patients was not evaluated in this study.

Despite being at an increased risk of experiencing a major adverse cardiovascular event (MACE), no patients in either arm had a stroke/TIA or MI within 30 days postprocedure. The only occurrences documented were VTEs, which happened only in 4 patients on UFH. Four people died in this study, solely in the UFH arm. The incidence of thromboembolic complications and death along with major and minor bleeding cannot be deduced as meaningful as this study was underpowered for these outcomes. Despite anti-factor Xa monitoring being recommended in ACKD patients on enoxaparin, this monitoring was not routinely performed in this study. Another limitation was the inability to adequately assess the appropriateness of nurse-adjusted UFH infusion rates largely due to the retrospective nature of this study. The variability of aPTT percentage in therapeutic range and time-to-therapeutic range reported was indicative of the difficulties of monitoring for the safety and efficacy of UFH.

In 1991, Cruickshank and colleagues conducted a study in which a standard nomogram (similar to the MEDVAMC nomogram) for the adjustment of IV heparin was implemented at a single hospital.17 The success rate (aPTT percentage in therapeutic range) was 59.4% and average time-to-therapeutic range was about 1 day. The success rate (46.3%) and time-to-therapeutic range (2.4 days) in our study were lower and longer, respectively, than was expected. One potential reason for this discrepancy could be the differences in indication as the patients in Cruickshank and colleagues were being treated for VTE, whereas patients in our study had AF or atrial flutter. Also, there were inconsistencies in the availability of documentation of monitoring parameters for heparin due to the study time frame and retrospective design. Patients on UFH who are not within the therapeutic range in a timely manner are at greater risk of MACE and major/minor bleeding. Our study was not powered to detect these findings.

Strengths and Limitations

A significant limitation of this study was its small sample size; the study was not able to meet power for the primary outcome; it is unknown whether our study met power for nosocomial infections. The study also was not a powered review of other adverse events, such as thromboembolic complications, bleeding, and death. The study had an uneven number of patients, which made it more difficult to appropriately compare 2 patient populations; the study also did not include medians for patient characteristics and outcomes.

 

 

Due to this study’s time frame, the clinical pharmacy services at MEDVAMC were not as robust as they are now, which is the reason the decisions on which anticoagulant to use were primarily physician based. The use of TheraDoc to identify patients posed the risk of missing patients who may not have had the appropriate laboratory tests performed (ie, SCr). Patients on UFH had a reduced eGFR compared with that of enoxaparin, which may limit our extrapolation of enoxaparin’s use in end-stage renal disease. The reduced eGFR and higher number of dialysis patients in the UFH arm may have increased the occurrence of more labile INRs and bleeding outcomes. Patients on hemodialysis typically have more comorbidities and an increased risk of infection due to the frequent use of catheters and needles to access the bloodstream. In addition, the potential differences in catheter use and duration between groups were not identified. If these parameters were studied, the data collected may have helped better explain the reasoning for increased incidence of infection in the UFH arm.

Strengths of this study include a complex patient population with similar characteristics, distribution of ethnicities representative of the US population, patients at moderate-to-high thrombotic risk, the analysis of nosocomial infections, and the exclusion of patients with normal renal function or moderate CKD.

Conclusion

To our knowledge, this is the first study to compare periprocedural bridging outcomes and incidence of nosocomial infections in patients with AF and ACKD. This review provides new evidence that in this patient population, enoxaparin is a potential anticoagulant to reduce hospital LOS and hospital-acquired infections. Compared with UFH, bridging with enoxaparin reduced hospital LOS and anticoagulation time-to-discharge by 7 and 5 days, respectively, and decreased the incidence of nosocomial infections by 30%. Using the mean LOS per treating specialty for both arms, bridging 1 patient with AF with enoxaparin vs UFH can potentially lead to an estimated $40,000 (44%) reduction in total cost of hospitalization. Enoxaparin also had no numeric differences in mortality and adverse events (stroke/TIA, MI, VTE) vs that of UFH, but it is important to note that this study was not powered to find a significant difference in these outcomes. Due to the mean eGFR of patients on enoxaparin being 22.6 mL/min/1.73 m2 and only 1 in 5 having stage 5 CKD, at this time, we do not recommend enoxaparin for periprocedural use in stage 5 CKD or in patients on hemodialysis. Larger studies are needed, including randomized trials, in this patient population to further evaluate these outcomes and assess the use of enoxaparin in patients with ACKD.

There has been a long-standing controversy in the use of parenteral anticoagulation for perioperative bridging in patients with atrial fibrillation (AF) pursuing elective surgery.1 The decision to bridge is dependent on the patient’s risk of thromboembolic complications and susceptibility to bleed.1 The BRIDGE trial showed noninferiority in rate of stroke and embolism events between low molecular weight heparins (LMWHs) and no perioperative bridging.2 However, according to the American College of Chest Physicians (CHEST) 2012 guidelines, patients in the BRIDGE trial would be deemed low risk for thromboembolic events displayed by a mean CHADS2 (congestive heart failure [CHF], hypertension, age, diabetes mellitus, and stroke/transient ischemic attack) score of 2.3. Also, the BRIDGE study and many others excluded patients with advanced forms of chronic kidney disease (CKD).2,3

Similar to patients with AF, patients with advanced CKD (ACKD, stage 4 and 5 CKD) have an increased risk of stroke and venous thromboembolism (VTE).4,5 Patients with AF and ACKD have not been adequately studied for perioperative anticoagulation bridging outcomes. Although unfractionated heparin (UFH) is preferred over LMWH in ACKD patients,enoxaparin can be used in this population.1,6 Enoxaparin 1 mg/kg once daily is approved by the US Food and Drug Administration (FDA) for use in patients with severe renal insufficiency defined as creatinine clearance (CrCl) < 30 mL/min. This dosage adjustment is subsequent to studies with enoxaparin 1 mg/kg twice daily that showed a significant increase in major and minor bleeding in severe renal-insufficient patients with CrCl < 30 mL/min vs patients with CrCl > 30 mL/min.7 When comparing the myocardial infarction (MI) outcomes of severe renal-insufficient patients in the ExTRACT-TIMI 25 trial, enoxaparin 1 mg/kg once daily had no significant difference in nonfatal major bleeding vs UFH.8 In patients without renal impairment (no documentation of kidney disease), bridging therapy with LMWH was completed more than UFH in < 24 hours of hospital stay and with similar rates of VTEs and major bleeding.9 In addition to its ability to be administered outpatient, enoxaparin has a more predictable pharmacokinetic profile, allowing for less monitoring and a lower incidence of heparin-induced thrombocytopenia (HIT) vs that of UFH.6

The Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas, is one of the largest US Department of Veterans Affairs (VA) hospitals in the US, managing > 150,000 veterans in Southeast Texas and other southern states. As a referral center for traveling patients, it is crucial that MEDVAMC decrease hospital length of stay (LOS) to increase space for incoming patients. Reducing LOS also reduces costs and may have a correlation with decreasing the incidence of nosocomial infections. Because of its significance to this facility, hospital LOS is an appropriate primary outcome for this study.

To our knowledge, bridging outcomes between LMWH and UFH in patients with AF and ACKD have never been studied. We hypothesized that using enoxaparin instead of heparin for periprocedural management would result in decreased hospital LOS, leading to a lower economic burden and lower incidence of nosocomial infections with no significant differences in major and minor bleeding and thromboembolic complications.10

 

 

Methods

This study was a single-center, retrospective chart review of adult patients from January 2008 to September 2017. The review was conducted at MEDVAMC and was approved by the research and development committee and by the Baylor College of Medicine Institutional Review Board. Formal consent was not required.

Included patients were aged ≥ 18 years with diagnoses of AF or atrial flutter and ACKD as recognized by a glomerular filtration rate (eGFR) of < 30 mL/min/1.73 m2 as calculated by use of the Modification of Diet in Renal Disease Study (MDRD) equation.11 Patients must have previously been on warfarin and required temporary interruption of warfarin for an elective procedure. During the interruption of warfarin therapy, a requirement was set for patients to be on periprocedural anticoagulation with subcutaneous (SC) enoxaparin 1 mg/kg daily or continuous IV heparin per MEDVAMC heparin protocol. Patients were excluded if they had experienced major bleeding in the 6 weeks prior to the elective procedure, had current thrombocytopenia (platelet count < 100 × 109/L), or had a history of heparin-induced thrombocytopenia (HIT) or a heparin allergy.

This patient population was identified using TheraDoc Clinical Surveillance Software System (Charlotte, NC), which has prebuilt alert reviews for anticoagulation medications, including enoxaparin and heparin. An alert for patients on enoxaparin with serum creatinine (SCr) > 1.5 mg/dL was used to screen patients who met the inclusion criteria. A second alert identified patients on heparin. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Economic Analysis

An economic analysis was conducted using data from the VA Managerial Cost Accounting Reports. Data on the national average cost per bed day was used for the purpose of extrapolating this information to multiple VA institutions.12 National average cost per day was determined by dividing the total cost by the number of bed days for the identified treating specialty during the fiscal period of 2018. Average cost per day data included costs for bed day, surgery, radiology services, laboratory tests, pharmacy services, treatment location (ie, intensive care units [ICUs]) and all other costs associated with an inpatient stay. A cost analysis was performed using this average cost per bed day and the mean LOS between enoxaparin and UFH for each treating specialty. The major outcome of the cost analysis was the total cost per average inpatient stay. The national average cost per bed day for each treating specialty was multiplied by the average LOS found for each treating specialty in this study; the sum of all the average costs per inpatient stay for the treating specialties resulted in the total cost per average inpatient stay. Permission to use these data was granted by the Pharmacy and Critical Care Services at MEDVAMC.

Patient Demographics and Characteristics

Data were collected on patient demographics (Table 1). Nosocomial infections, stroke/transient ischemic attack, MI, VTE, major and minor bleeding, and death are defined in Table 2.

The primary outcome of the study was hospital LOS. The study was powered at 90% for α = .05, which gives a required study population of 114 (1:1 enrollment ratio) patients to determine a statistically significant difference in hospital stay. This sample size was calculated using the mean hospital LOS (the primary objective) in the REGIMEN registry for LMWH (4.6 days) and UFH (10.3 days).9 To our knowledge, the incidence of nosocomial infections (a secondary outcome) has not been studied in this patient population; therefore, there was no basis to assess an appropriate sample size to find a difference in this outcome. Furthermore, the goal was to collect as many patients as possible to best assess this variable. Because of an expected high exclusion rate, 504 patients were reviewed to target a sample size of 120 patients. Due to the single-center nature of this review, the secondary outcomes of thromboembolic complications and major and minor bleeding were expected to be underpowered.

The final analysis compared the enoxaparin arm with the UFH arm. Univariate differences between the treatment groups were compared using the Fisher exact test for categorical variables. Demographic data and other continuous variables were analyzed by an unpaired t test to compare means between the 2 arms. Outcomes and characteristics were deemed statistically significant when α (P value) was < .05. All P values reported were 2-tailed with a 95% CI. No statistical analysis was performed for the cost differences (based on LOS per treating specialty) in the 2 treatment arms. Statistical analyses were completed by utilizing GraphPad Software (San Diego, CA).

 

 

Results

In total, 50 patients were analyzed in the study. There were 36 patients bridged with IV UFH at a concentration of 25,000 U/250 mL with an initial infusion rate of 12 U/kg/h. For the other arm, 14 patients were anticoagulated with renally dosed enoxaparin 1 mg/kg/d with an average daily dose of 89.3 mg; the mean actual body weight in this group was 90.9 mg (correlates with enoxaparin daily dose). Physicians of the primary team decided which parenteral anticoagulant to use. The difference in mean duration of inpatient parental anticoagulation between both groups was not statistically significant: enoxaparin at 7.1 days and UFH at 9.6 days (P = .19). Patients in the enoxaparin arm were off warfarin therapy for an average of 6.0 days vs 7.5 days for the UFH group (P = .29). The duration of outpatient anticoagulation with enoxaparin was not analyzed in this study.

Patient and Procedure Characteristics

All patients had AF or atrial flutter with 86% of patients (n = 43) having a CHADS2 > 2 and 48% (n = 29) having a CHA2DS2VASc > 4. Overall, the mean age was 71.3 years with similarities in ethnicity distribution. Patients had multiple comorbidities as shown by a mean Charlson Comorbidity Index (CCI) of 7.7 and an increased risk of bleeding as evidenced by 98% (n = 48) of patients having a HAS-BLED score of ≥ 3. A greater percentage of patients bridged with enoxaparin had DM, history of stroke and MI, and a heart valve, whereas UFH patients were more likely to be in stage 5 CKD (eGFR < 15 mL/min/1.73m2) with a significantly lower mean eGFR (16.76 vs 22.64, P = .03). Furthermore, there were more patients on hemodialysis in the UFH (50%) arm vs enoxaparin (21%) arm and a lower mean CrCl with UFH (20.1 mL/min) compared with enoxaparin (24.9 mL/min); however, the differences in hemodialysis and mean CrCl were not statistically significant. There were no patients on peritoneal dialysis in this review.

Procedure Characteristics

The average Revised Cardiac Risk Index (RCRI) score was about 3, indicating that these patients were at a Class IV risk (11%) of having a perioperative cardiac event (Table 3). Nineteen patients (38%) elected for a major surgery with all but 1 of the surgeries (major or minor) being invasive. The average length of surgery was 1.2 hours, and patients were more likely to undergo cardiothoracic procedures (38%). There were 2 out of 14 (14%) patients on enoxaparin who were able to have surgery as an outpatient; whereas this did not occur in patients on UFH. The procedures completed for these patients were a colostomy (minor surgery) and arteriovenous graft repair (major surgery). There were no statistically significant differences regarding types of procedures between the 2 arms.

Outcomes

The primary outcome of this study, hospital LOS, differed significantly in the enoxaparin arm vs UFH: 10.2 days vs 17.5 days, P = .04 (Table 4). The time-to-discharge from initiation of parenteral anticoagulation was significantly reduced with enoxaparin (7.1 days) compared with UFH (11.9 days); P = .04. Although also reduced in the enoxaparin arm, ICU LOS did not show statistical significance (1.1 days vs 4.0 days, P = .09).

About 36% (n = 18) of patients in this study acquired an infection during hospitalization for elective surgery. The most common microorganism and site of infection were Enterococcus species and urinary tract, respectively (Table 5). Nearly half (44%, n = 16) of the patients in the UFH group had a nosocomial infection vs 14% (n = 2) of enoxaparin-bridged patients with a difference approaching significance; P = .056. Both patients in the enoxaparin group had the urinary tract as the primary source of infection; 1 of these patients had a urologic procedure.

Major bleeding occurred in 7% (n = 1) of enoxaparin patients vs 22% (n = 8) in the UFH arm, but this was not found to be statistically significant (P = .41). Minor bleeding was similar between enoxaparin and UFH arms (14% vs 19%, P = .99). Regarding thromboembolic complications, the enoxaparin group (0%) had a numerical reduction compared to UFH (11%) with VTE (n = 4) being the only occurrence of the composite outcome (P = .57). There were 4 deaths within 30 days posthospitalization—all were from the UFH group (P = .57). Due to the small sample size of this study, these outcomes (bleeding and thrombotic events) were not powered to detect a statistically significant difference.

 

 

Economic Analysis

The average cost differences (Table 6) of hospitalization between enoxaparin and UFH were calculated using the average LOS per treating specialty multiplied by the national average cost of the MCO for an inpatient bed day in 2018.12 The treating specialty with the longest average LOS in the enoxaparin arm was thoracic (4.7 days). The UFH arm also had a large LOS (average days) for the thoracic specialty (6.4 days); however, the vascular specialty (6.7 days) had the longest average LOS in this group. Due to a mean LOS of 10.2 days in the enoxaparin arm, which was further stratified by treating specialty, the total cost per average inpatient stay was calculated as $51,710. On the other hand, patients in the UFH arm had a total cost per average inpatient stay of $92,848.

Monitoring

Anti-factor Xa levels for LMWH monitoring were not analyzed in this study due to a lack of values collected; only 1 patient had an anti-factor Xa level checked during this time frame. Infusion rates of UFH were adjusted based on aPTT levels collected per MEDVAMC inpatient anticoagulation protocol. The average percentage of aPTT in therapeutic range was 46.3% and the mean time-to-therapeutic range (SD) was about 2.4 (1.3) days. Due to this study’s retrospective nature, there were inconsistencies with availability of documentation of UFH infusion rates. For this reason, these values were not analyzed further.

Discussion

In 2017, the American College of Cardiology published the Periprocedural Anticoagulation Expert Consensus Pathway, which recommends for patients with AF at low risk (CHA2DS2VASc 1-4) of thromboembolism to not be bridged (unless patient had a prior VTE or stroke/TIA).13 Nearly half the patients in this study, were classified as moderate-to-high thrombotic risk as evidenced by a CHA2DS2VASc > 4 with a mean score of 4.8. Due to this study’s retrospective design from 2008 to 2017, many of the clinicians may have referenced the 2008 CHEST antithrombotic guidelines when making the decision to bridge patients; these guidelines and the previous MEDVAMC anticoagulation protocol recommend bridging patients with AF with CHADS2 > 2 (moderate-to-high thrombotic risk) in which all but 1 of the patients in this study met criteria.1,14 In contrast to the landmark BRIDGE trial, the mean CHADS2 score in this study was 3.6; this is an indication that our patient population was of individuals at an increased risk of stroke and embolism.

 

 

In addition to thromboembolic complications, patients in the current study also were at increased risk of clinically relevant bleeding with a mean HAS-BLED score of 4.1 and nearly all patients having a score > 3. The complexity of the veteran population also was displayed by this study’s mean CCI (7.7) and RCRI (3.0) indicating a 0% estimated 10-year survival and a 11% increase in having a perioperative cardiac event, respectively. A mean CCI of 7.7 is associated with a 13.3 relative risk of death within 6 years postoperation.15 All patients had a diagnosis of hypertension, and > 75% had this diagnosis complicated by DM. In addition, this patient population was of those with extensive cardiovascular disease or increased risk, which makes for a clinically relevant application of patients who would require periprocedural bridging.

Another positive aspect of this study is that all the baseline characteristics, apart from renal function, were similar between arms, helping to strengthen the ability to adequately compare the 2 bridging modalities. Our assumption for the reasoning that more stage 5 CKD and dialysis patients were anticoagulated with UFH vs enoxaparin is a result of concern for an increased risk of bleeding with a medication that is renally cleared 30% less in CrCl < 30 mL/min.16 Although, enoxaparin 1 mg/kg/d is FDA approved as a therapeutic anticoagulant option, clinicians at MEDVAMC likely had reservations about its use in end-stage CKD patients. Unlike many studies, including the BRIDGE trial, patients with ACKD were not excluded from this trial, and the outcomes with enoxaparin are available for interpretation.

To no surprise, for patients included in this study, enoxaparin use led to shorter hospital LOS, reduced ICU LOS, and a quicker time-to-discharge from initiation. This is credited to the 100% bioavailability of SC enoxaparin in conjunction with its means to be a therapeutic option as an outpatient.16 Unlike IV UFH, patients requiring bridging can be discharged on SC injections of enoxaparin until a therapeutic INR is maintained with warfarin.The duration of hospital LOS in both arms were longer in this study compared with that of other studies.9 This may be due to clinicians being more cautious with renal insufficient patients, and the patients included in this study had multiple comorbidities. According to an economic analysis performed by Amorosi and colleagues in 2004, bridging with enoxaparin instead of UFH can save up to $3,733 per patient and reduce bridging costs by 63% to 85% driven primarily by decreased hospital LOS.10

Economic Outcome

In our study, we conducted a cost analysis using national VA data that indicated a $41,138 or 44% reduction in total cost per average inpatient stay when bridging 1 patient with enoxaparin vs UFH. The benefit of this cost analysis is that it reflects direct costs at VA institutions nationally; this will allow these data to be useful for practitioners at MEDVAMC and other VA hospitals. Stratifying the costs by treating specialty instead of treatment location minimized skewing of the data as there were some patients with long LOS in the ICU. No patients in the enoxaparin arm were treated in otolaryngology, which may have skewed the data. The data included direct costs for beds as well as costs for multiple services, such as procedures, pharmacy, nursing, laboratory tests, and imaging. Unlike the Amorosi study, our review did not include acquisition costs for enoxaparin syringes and bags of UFH or laboratory costs for aPTT and anti-factor Xa levels in part because of the data source and the difficulty calculating costs over a 10-year span.

 

 

Patients in the enoxaparin arm had a trend toward fewer occurrences of hospital-acquired infections than did those in the UFH arm, which we believe is due to a decreased LOS (in both total hospital and ICU days) and fewer blood draws needed for monitoring. This also may be attributed to a longer mean duration of surgery in the UFH arm (1.3 hours) vs enoxaparin (0.9 hours). The percentage of patients with procedures ≥ 45 minutes and the types of procedures between both arms were similar. However, these outcomes were not statistically significant. In addition, elderly males who are hospitalized may require a catheter (due to urinary retention), and catheter-associated urinary tract infection (CAUTI) is one of the highest reported infections in acute care hospitals in the US. This is in line with our patient population and may be a supplementary reason for the increase in infection incidence with UFH. Though, whether urinary catheters were used in these patients was not evaluated in this study.

Despite being at an increased risk of experiencing a major adverse cardiovascular event (MACE), no patients in either arm had a stroke/TIA or MI within 30 days postprocedure. The only occurrences documented were VTEs, which happened only in 4 patients on UFH. Four people died in this study, solely in the UFH arm. The incidence of thromboembolic complications and death along with major and minor bleeding cannot be deduced as meaningful as this study was underpowered for these outcomes. Despite anti-factor Xa monitoring being recommended in ACKD patients on enoxaparin, this monitoring was not routinely performed in this study. Another limitation was the inability to adequately assess the appropriateness of nurse-adjusted UFH infusion rates largely due to the retrospective nature of this study. The variability of aPTT percentage in therapeutic range and time-to-therapeutic range reported was indicative of the difficulties of monitoring for the safety and efficacy of UFH.

In 1991, Cruickshank and colleagues conducted a study in which a standard nomogram (similar to the MEDVAMC nomogram) for the adjustment of IV heparin was implemented at a single hospital.17 The success rate (aPTT percentage in therapeutic range) was 59.4% and average time-to-therapeutic range was about 1 day. The success rate (46.3%) and time-to-therapeutic range (2.4 days) in our study were lower and longer, respectively, than was expected. One potential reason for this discrepancy could be the differences in indication as the patients in Cruickshank and colleagues were being treated for VTE, whereas patients in our study had AF or atrial flutter. Also, there were inconsistencies in the availability of documentation of monitoring parameters for heparin due to the study time frame and retrospective design. Patients on UFH who are not within the therapeutic range in a timely manner are at greater risk of MACE and major/minor bleeding. Our study was not powered to detect these findings.

Strengths and Limitations

A significant limitation of this study was its small sample size; the study was not able to meet power for the primary outcome; it is unknown whether our study met power for nosocomial infections. The study also was not a powered review of other adverse events, such as thromboembolic complications, bleeding, and death. The study had an uneven number of patients, which made it more difficult to appropriately compare 2 patient populations; the study also did not include medians for patient characteristics and outcomes.

 

 

Due to this study’s time frame, the clinical pharmacy services at MEDVAMC were not as robust as they are now, which is the reason the decisions on which anticoagulant to use were primarily physician based. The use of TheraDoc to identify patients posed the risk of missing patients who may not have had the appropriate laboratory tests performed (ie, SCr). Patients on UFH had a reduced eGFR compared with that of enoxaparin, which may limit our extrapolation of enoxaparin’s use in end-stage renal disease. The reduced eGFR and higher number of dialysis patients in the UFH arm may have increased the occurrence of more labile INRs and bleeding outcomes. Patients on hemodialysis typically have more comorbidities and an increased risk of infection due to the frequent use of catheters and needles to access the bloodstream. In addition, the potential differences in catheter use and duration between groups were not identified. If these parameters were studied, the data collected may have helped better explain the reasoning for increased incidence of infection in the UFH arm.

Strengths of this study include a complex patient population with similar characteristics, distribution of ethnicities representative of the US population, patients at moderate-to-high thrombotic risk, the analysis of nosocomial infections, and the exclusion of patients with normal renal function or moderate CKD.

Conclusion

To our knowledge, this is the first study to compare periprocedural bridging outcomes and incidence of nosocomial infections in patients with AF and ACKD. This review provides new evidence that in this patient population, enoxaparin is a potential anticoagulant to reduce hospital LOS and hospital-acquired infections. Compared with UFH, bridging with enoxaparin reduced hospital LOS and anticoagulation time-to-discharge by 7 and 5 days, respectively, and decreased the incidence of nosocomial infections by 30%. Using the mean LOS per treating specialty for both arms, bridging 1 patient with AF with enoxaparin vs UFH can potentially lead to an estimated $40,000 (44%) reduction in total cost of hospitalization. Enoxaparin also had no numeric differences in mortality and adverse events (stroke/TIA, MI, VTE) vs that of UFH, but it is important to note that this study was not powered to find a significant difference in these outcomes. Due to the mean eGFR of patients on enoxaparin being 22.6 mL/min/1.73 m2 and only 1 in 5 having stage 5 CKD, at this time, we do not recommend enoxaparin for periprocedural use in stage 5 CKD or in patients on hemodialysis. Larger studies are needed, including randomized trials, in this patient population to further evaluate these outcomes and assess the use of enoxaparin in patients with ACKD.

References

1. Douketis JD, Spyropoulos AC, Spencer FA, et al. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest. 2012;141(2)(suppl):e326S-350S.

2. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823-833.

3. Hammerstingl C, Schmitz A, Fimmers R, Omran H. Bridging of chronic oral anticoagulation with enoxaparin in patients with atrial fibrillation: results from the prospective BRAVE registry. Cardiovasc Ther. 2009;27(4):230-238.

4. Dad T, Weiner DE. Stroke and chronic kidney disease: epidemiology, pathogenesis, and management across kidney disease stages. Semin Nephrol. 2015;35(4):311-322.

5. Wattanakit K, Cushman M. Chronic kidney disease and venous thromboembolism: epidemiology and mechanisms. Curr Opin Pulm Med. 2009;15(5):408-412.

6. Saltiel M. Dosing low molecular weight heparins in kidney disease. J Pharm Pract. 2010;23(3):205-209.

7. Spinler SA, Inverso SM, Cohen M, Goodman SG, Stringer KA, Antman EM; ESSENCE and TIMI 11B Investigators. Safety and efficacy of unfractionated heparin versus enoxaparin in patients who are obese and patients with severe renal impairment: analysis from the ESSENCE and TIMI 11B studies. Am Heart J. 2003;146(1):33-41.

8. Fox KA, Antman EM, Montalescot G, et al. The impact of renal dysfunction on outcomes in the ExTRACT-TIMI 25 trial. J Am Coll Cardiol. 2007;49(23):2249-2255.

9. Spyropoulos AC, Turpie AG, Dunn AS, et al; REGIMEN Investigators. Clinical outcomes with unfractionated heparin or low-molecular-weight heparin as bridging therapy in patients on long-term oral anticoagulants: the REGIMEN registry. J Thromb Haemost. 2006;4(6):1246-1252.

10. Amorosi SL, Tsilimingras K, Thompson D, Fanikos J, Weinstein MC, Goldhaber SZ. Cost analysis of “bridging therapy” with low-molecular-weight heparin versus unfractionated heparin during temporary interruption of chronic anticoagulation. Am J Cardiol. 2004;93(4):509-511.

11. Inker LA, Astor BC, Fox CH, et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014;63(5):713-735.

12. US Department of Veteran Affairs. Managerial Cost Accounting Financial User Support Reports: fiscal year 2018. https://www.herc.research.va.gov/include/page.asp?id=managerial-cost-accounting. [Source not verified.]

13. Doherty JU, Gluckman TJ, Hucker WJ, et al. 2017 ACC Expert Consensus Decision Pathway for Periprocedural Management of Anticoagulation in Patients With Nonvalvular Atrial Fibrillation: a report of the American College of Cardiology Clinical Expert Consensus Document Task Force. J Am Coll Cardiol. 2017;69(7):871-898.

14. Kearon C, Kahn SR, Agnelli G, et al. Antithrombotic therapy for venous thromboembolic disease: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition). Chest. 2008;133(6 suppl):454S-545S.

15. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245-1251. 

16. Lovenox [package insert]. Bridgewater, NJ: Sanofi-Aventis; December 2017.

17. Cruickshank MK, Levine MN, Hirsh J, Roberts R, Siguenza M. A standard heparin nomogram for the management of heparin therapy. Arch Intern Med. 1991;151(2):333-337.

18. Steinberg BA, Peterson ED, Kim S, et al; Outcomes Registry for Better Informed Treatment of Atrial Fibrillation Investigators and Patients. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF). Circulation. 2015;131(5):488-494.

19. Verheugt FW, Steinhubl SR, Hamon M, et al. Incidence, prognostic impact, and influence of antithrombotic therapy on access and nonaccess site bleeding in percutaneous coronary intervention. JACC Cardiovasc Interv. 2011;4(2):191-197.

20. Bijsterveld NR, Peters RJ, Murphy SA, Bernink PJ, Tijssen JG, Cohen M. Recurrent cardiac ischemic events early after discontinuation of short-term heparin treatment in acute coronary syndromes: results from the Thrombolysis in Myocardial Infarction (TIMI) 11B and Efficacy and Safety of Subcutaneous Enoxaparin in Non-Q-Wave Coronary Events (ESSENCE) studies. J Am Coll Cardiol. 2003;42(12):2083-2089.

References

1. Douketis JD, Spyropoulos AC, Spencer FA, et al. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest. 2012;141(2)(suppl):e326S-350S.

2. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823-833.

3. Hammerstingl C, Schmitz A, Fimmers R, Omran H. Bridging of chronic oral anticoagulation with enoxaparin in patients with atrial fibrillation: results from the prospective BRAVE registry. Cardiovasc Ther. 2009;27(4):230-238.

4. Dad T, Weiner DE. Stroke and chronic kidney disease: epidemiology, pathogenesis, and management across kidney disease stages. Semin Nephrol. 2015;35(4):311-322.

5. Wattanakit K, Cushman M. Chronic kidney disease and venous thromboembolism: epidemiology and mechanisms. Curr Opin Pulm Med. 2009;15(5):408-412.

6. Saltiel M. Dosing low molecular weight heparins in kidney disease. J Pharm Pract. 2010;23(3):205-209.

7. Spinler SA, Inverso SM, Cohen M, Goodman SG, Stringer KA, Antman EM; ESSENCE and TIMI 11B Investigators. Safety and efficacy of unfractionated heparin versus enoxaparin in patients who are obese and patients with severe renal impairment: analysis from the ESSENCE and TIMI 11B studies. Am Heart J. 2003;146(1):33-41.

8. Fox KA, Antman EM, Montalescot G, et al. The impact of renal dysfunction on outcomes in the ExTRACT-TIMI 25 trial. J Am Coll Cardiol. 2007;49(23):2249-2255.

9. Spyropoulos AC, Turpie AG, Dunn AS, et al; REGIMEN Investigators. Clinical outcomes with unfractionated heparin or low-molecular-weight heparin as bridging therapy in patients on long-term oral anticoagulants: the REGIMEN registry. J Thromb Haemost. 2006;4(6):1246-1252.

10. Amorosi SL, Tsilimingras K, Thompson D, Fanikos J, Weinstein MC, Goldhaber SZ. Cost analysis of “bridging therapy” with low-molecular-weight heparin versus unfractionated heparin during temporary interruption of chronic anticoagulation. Am J Cardiol. 2004;93(4):509-511.

11. Inker LA, Astor BC, Fox CH, et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014;63(5):713-735.

12. US Department of Veteran Affairs. Managerial Cost Accounting Financial User Support Reports: fiscal year 2018. https://www.herc.research.va.gov/include/page.asp?id=managerial-cost-accounting. [Source not verified.]

13. Doherty JU, Gluckman TJ, Hucker WJ, et al. 2017 ACC Expert Consensus Decision Pathway for Periprocedural Management of Anticoagulation in Patients With Nonvalvular Atrial Fibrillation: a report of the American College of Cardiology Clinical Expert Consensus Document Task Force. J Am Coll Cardiol. 2017;69(7):871-898.

14. Kearon C, Kahn SR, Agnelli G, et al. Antithrombotic therapy for venous thromboembolic disease: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition). Chest. 2008;133(6 suppl):454S-545S.

15. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245-1251. 

16. Lovenox [package insert]. Bridgewater, NJ: Sanofi-Aventis; December 2017.

17. Cruickshank MK, Levine MN, Hirsh J, Roberts R, Siguenza M. A standard heparin nomogram for the management of heparin therapy. Arch Intern Med. 1991;151(2):333-337.

18. Steinberg BA, Peterson ED, Kim S, et al; Outcomes Registry for Better Informed Treatment of Atrial Fibrillation Investigators and Patients. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF). Circulation. 2015;131(5):488-494.

19. Verheugt FW, Steinhubl SR, Hamon M, et al. Incidence, prognostic impact, and influence of antithrombotic therapy on access and nonaccess site bleeding in percutaneous coronary intervention. JACC Cardiovasc Interv. 2011;4(2):191-197.

20. Bijsterveld NR, Peters RJ, Murphy SA, Bernink PJ, Tijssen JG, Cohen M. Recurrent cardiac ischemic events early after discontinuation of short-term heparin treatment in acute coronary syndromes: results from the Thrombolysis in Myocardial Infarction (TIMI) 11B and Efficacy and Safety of Subcutaneous Enoxaparin in Non-Q-Wave Coronary Events (ESSENCE) studies. J Am Coll Cardiol. 2003;42(12):2083-2089.

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Fluoroscopically Guided Lateral Approach Hip Injection

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Mon, 07/15/2019 - 14:25
A retrospective comparison study of the anterior-oblique and lateral approach to hip injection procedures suggests that the lateral approach may be a valuable interventional skill for those performing hip injections.

Hip injections are performed as diagnostic and therapeutic interventions across a variety of medical subspecialties, including but not limited to those practicing physical medicine and rehabilitation, pain medicine, sports medicine, orthopedic surgery, and radiology. Traditional image-guided intra-articular hip injection commonly uses an anterior-oblique approach from a starting point on the anterior groin traversing soft tissue anterior to the femoral neck to the target needle placement at the femoral head-neck junction.

In fluoroscopic procedures, a coaxial technique for needles placement is used for safe and precise insertion of needles. An X-ray beam is angled in line with the projected path of the needle from skin entry point to injection target. Coaxial, en face technique (also called EF, parallel, hub view, down the barrel, or barrel view) appears as a single radiopaque dot over the target injection site.1 This technique minimizes needle redirection for correction of the injection path and minimal disturbance of surrounding tissue on the approach to the intended target.

Noncoaxial technique, as used in the anterior-oblique approach, intentionally directs the needle away from a skin entry point, the needle barrel traversing the X-ray beam toward an injection target. Clinical challenges to injection with the anterior-oblique approach include using a noncoaxial technique. Additional challenges to the anterior-oblique (also referred to as anterior) approach are body habitus and pannus, proximity to neurovascular structures, and patient positioning. By understanding the risks and benefits of varied technical approaches to accomplish a clinical goal and outcome, trainees are better able to select the technique most appropriate for a varied patient population.

Common risks to patients for all intra-articular interventions include bleeding, infection, and pain. Risk of damage to nearby structures is often mentioned as part of a standard informed consent process as it relates to the femoral vein, artery, and nerve that are in close anatomical proximity to the target injection site. When prior studies have examined the risk of complications resulting from intra-articular hip injections, a common conclusion is that despite a relatively low-risk profile for skilled interventionalists, efforts to avoid needle placement in the medial 50% of the femoral head on antero-posterior imaging is recommended.2

The anterior technique is a commonly described approach, and the same can be used for both ultrasound-guided and fluoroscopically guided hip injections.3 Using ultrasound guidance, the anterior technique can be performed with in-plane direct visualization of the needle throughout the procedure. With fluoroscopic guidance, the anterior approach is performed out-of-plane, using the noncoaxial technique. This requires the interventionalist to use tactile and anatomic guidance to the target injection site. The anterior approach for hip injection is one of few interventions where coaxial technique is not used for the procedure, making the instruction for a learner less concrete and potentially more challenging related to the needle path not under direct visualization in plane with the X-ray beam.

Technical guidance and detailed instruction for the lateral approach is infrequently described in fluoroscopic interventional texts. Reference to a lateral approach hip injection was made as early as the 1970s, without detail provided on the technique, with respect to the advantage of visualization of the hip joint for needle placement when hardware is in place.4 A more recent article described a lateral approach technique involving the patient in a decubitus (lateral) supine position, which presents limitations in consistent fluoroscopic imaging and can be a challenging static position for the patient to maintain.5

The retrospective review of anterior-oblique and lateral approach procedures in this study aims to demonstrate that there is no significant difference in radiation exposure, rate of successful intra-articular injection, or complication rate. If proven as a noninferior technique, the lateral approach may be a valuable interventional skill to those performing hip injections. Potential benefits to the patient and provider include options for the provider to access the joint using either technique. Additionally, the approach can be added to the instructional plan for those practitioners providing technical instruction to trainees within their health care system.

 

 

Methods

The institutional review board at the VA Ann Arbor Healthcare System reviewed and granted approval for this study. One of 5 interventional pain physician staff members at the VA Ann Arbor Healthcare System performed fluoroscopically guided hip injections. Interventional pain fellows under the direct supervision of board-certified physicians performed the procedures for the study cases. Supervising physicians included both physiatrists and anesthesiologists. Images were reviewed and evaluated without corresponding patient biographic data.

For cases using the lateral approach, the patients were positioned supine on the fluoroscopy table. In anterior-posterior and lateral views, trajectory lines are drawn using a long metal marking rod held adjacent to the patient. With pulsed low-dose fluoroscopy, transverse lines are drawn to identify midpoint of the femoral head in lateral view (Figure 1A, x-axis) and the most direct line from skin to lateral femoral head neck junction joint target (Figure 1B, z-axis). Also confirmed in lateral view, the z-axis marked line drawn on the skin is used to confirm that this transverse plane crosses the overlapping femoral heads (Figure 1A, y-axis).



The cross-section of these transverse and coronal plane lines identifies the starting point for the most direct approach from skin to injection target at femoral head-neck junction. Using the coaxial technique in the lateral view, the needle is introduced and advanced using intermittent fluoroscopic images to the lateral joint target. Continuing in this view, the interventionalist can ensure that advancing the needle to the osseous endpoint will place the tip at the midpoint of the femoral head at the target on the lateral surface, avoiding inadvertent advance of the needle anterior or posterior the femoral head. Final needle placement confirmation is then completed in antero-posterior view (Figure 2A). Contrast enhancement is used to confirm intra-articular spread (Figure 2B).



Cases included in the study were performed over an 8-month period in 2017. Case images recorded in IntelliSpace PACS Radiology software (Andover, MA) were included by creating a list of all cases performed and documented using the major joint injection procedure code. The cases reviewed began with the most recent cases. Two research team members (1 radiologist and 1 interventional pain physician) reviewed the series of saved images for each patient and the associated procedure report. The research team members documented and recorded de-identified study data in Microsoft Excel (Redmond, WA).

Imaging reports, using the saved images and the associated procedure report, were classified for technical approach (anterior, lateral, or inconclusive), success of joint injection as evidenced by appropriate contrast enhancement within the joint space (successful, unsuccessful, or incomplete images), documented use of sedation (yes, no), patient positioning (supine, prone), radiation exposure dose, radiation exposure time, and additional comments, such as “notable pannus” or “hardware present” to annotate significant findings on imaging review.

Statistical Analysis

The distribution of 2 outcomes used to compare rates of complication, radiation dose, and exposure time was checked using the Shapiro-Wilk test. Power analysis determined that inclusion of 30 anterior and 30 lateral cases results in adequate power to detect a 1-point mean difference, assuming a standard deviation of 1.5 in each group. Both radiation dose and exposure time were found to be nonnormally distributed (W = 0.65, P < .001; W = 0.86, P < .001; respectively). Median and interquartile range (IQR) of dose and time in seconds for anterior and lateral approaches were computed. Median differences in radiation dose and exposure time between anterior and lateral approaches were assessed with the k-sample test of equality of medians. All analyses were conducted using Stata Version 14.1 (College Station, TX).

 

 

Results

Between June 2017 and January 2018, 88 cases were reviewed as performed, with 30 anterior and 30 lateral approach cases included in this retrospective comparison study. A total of 28 cases were excluded from the study for using an inconclusive approach, multiple or bilateral procedures, cases without recorded dose and time data, and inadequately saved images to provide meaningful data (Figure 3).

Rate of successful intervention with needle placement confirmed within the articular space on contrast enhancement was not significantly different in the study groups with 96.7% (29 of 30) anterior approach cases reported as successful, 100% (30 of 30) lateral approach cases reported as successful. Overhanging pannus in the viewing area was reported in 5 anterior approach cases and 4 lateral cases. Hardware was noted in 2 lateral approach cases, none in anterior approach cases. Sedation was used for 3 of the anterior approach cases and none of the lateral approach cases.



Patients undergoing the lateral approach received a higher median radiation dose than did those undergoing the anterior approach, but this was not statistically significant (P = .07) (Table). Those undergoing the lateral approach also had a longer median exposure time than did those undergoing the anterior approach, but this also was not statistically significant (P = .3). With no immediate complications reported in any of the studied interventions, there was no difference in complication rates between anterior and lateral approach cases.

 

Discussion

Pain medicine fellows who have previously completed residency in a variety of disciplines, often either anesthesiology or physical medicine and rehabilitation, perform fluoroscopically guided procedures and benefit from increased experience with coaxial technique as this improves needle depth and location awareness. Once mastered, this skill set can be applied to and useful for multiple interventional pain procedures. Similar technical instruction with an emphasis on coaxial technique for hip injections as performed in the anterior or anterolateral approach can be used in both fluoroscopic and ultrasound-guided procedures, including facet injection, transforaminal epidural steroid injection, and myriad other procedures performed to ameliorate pain. There are advantages to pursuing a similar approach with all image-guided procedures. Evaluated in this comparison study is an alternative technique that has potential for risk reduction benefit with reduced proximity to neurovascular structures, which ultimately leads to a safer procedure profile.

Using a lateral approach, the interventionalist determines a starting point, entering the skin at a greater distance from any overlying pannus and the elevated concentration of gram-negative and gram-positive bacteria contained within the inguinal skin.6 A previous study demonstrated improved success of intra-articular needle tip placement without image guidance in patients with body mass index (BMI) < 30.7 A prior study of anterior approach using anatomic landmarks as compared to lateral approach demonstrated the anterior approach pierced or contacted the femoral nerve in 27% of anterior cases and came within 5 mm of 60% of anterior cases.2 Use of image guidance, whether ultrasound, fluoroscopy, or computed tomography (CT) is preferred related to reduced risk of contact with adjacent neurovascular structures. Anatomic surface landmarks have been described as an alternative injection technique, without the use of fluoroscopy for confirmatory initial, intraprocedure, and final placement.8 Palpation of anatomic structures is required for this nonimage-guided technique, and although similar to the described technique in this study, the anatomically guided injection starting point is more lateral than the anterior approach but not in the most lateral position in the transverse plane that is used for this fluoroscopically guided lateral approach study.

Physiologic characteristics of subjects and technical aspects of fluoroscopy both can be factors in radiation dose and exposure times for hip injections. Patient BMI was not included in the data collection, but further study would seek to determine whether BMI is a significant risk for any increased radiation dose and exposure times using lateral approach injections. Use of lateral images for fluoroscopy requires penetration of X-ray beam through more tissue compared with that of anterior-posterior images. Further study of these techniques would benefit from comparing the pulse rate of fluoroscopic images and collimation (or focusing of the radiation beam over a smaller area of tissue) as factors in any observed increase in total radiation dose and exposure times.

Improving the safety profile of this procedure could have a positive impact on the patient population receiving fluoroscopic hip injections, both within the VA Ann Arbor Health System and elsewhere. While the study population was limited to the VA patient population seeking subspecialty nonsurgical joint care at a single tertiary care center, this technique is generalizable and can be used in most patients, as hip pain is a common condition necessitating nonoperative evaluation and treatment.

 

 

Radiation Exposures

As our analysis demonstrates, mean radiation dose exposure for each group was consistent with low (≤ 3 mSv) to moderate (> 3-20 mSv) annual effective doses in the general population.7 Both anterior and lateral median radiation dose of 1 mGy and 3 mGy, respectively, are within the standard exposure for radiographs of the pelvis (1.31 mGy).9 It is therefore reasonable to consider a lateral approach for hip injection, given the benefits of direct coaxial approach and avoiding needle entry through higher bacteria-concentrated skin.

The lateral approach did have increased radiation dose and exposure time, although it was not statistically significantly greater than the anterior approach. The difference between radiation dose and time to perform either technique was not clinically significant. One potential explanation for this is that the lateral technique has increased tissue to penetrate, which can be reduced with collimation and other fluoroscopic image adjustments. Additionally, as trainees progress in competency, fewer images should need to be obtained.7 We hypothesize that as familiarity and comfort with this technique increase, the number of images necessary for successful injection would decrease, leading to decreased radiation dose and exposure time. We would expect that in the hands of a board-certified interventionalist, radiation dose and exposure time would be significantly decreased as compared to our current dataset, and this is an area of planned further study. With our existing dataset, the majority of procedures were performed with trainees, with inadequate information documented for comparison of dose over time and procedural experience under individual physicians.

Notable strengths of this study are the direct comparison of the anterior approach when compared to the lateral approach with regard to radiation dose and exposure time, which we have not seen described in the literature. A detailed description of the technique may result in increased utilization by other providers. Data were collected from multiple providers, as board-certified pain physicians and board-eligible interventional pain fellows performed the procedures. This variability in providers increases the generalizability of the findings, with a variety of providers, disciplines, years of experiences, and type of training represented.

 

Limitations

Limitations include the retrospective nature of the study and the relatively small sample size. However, even with this limitation, it is notable that no statistically significant differences were observed in mean radiation dose or fluoroscopy exposure time, making the lateral approach, at minimum, a noninferior technique. Combined with the improved safety profile, this technique is a viable alternative to the traditional anterior-oblique approach. Further study should be performed, such as a prospective, randomized control trial investigating the 2 techniques and following pain scores and functional ability after the procedure.

Conclusion

Given the decreased procedural risk related to proximity of neurovascular structures and coaxial technique for needle advancement, lateral approach for hip injection should be considered by those in any discipline performing fluoroscopically guided procedures. Lateral technique may be particularly useful in technically challenging cases and when skin entry at the anterior groin is suboptimal, as a noninferior alternative to traditional anterior method.

References

1. Cianfoni A, Boulter DJ, Rumboldt Z, Sapton T, Bonaldi G. Guidelines to imaging landmarks for interventional spine procedures: fluoroscopy and CT anatomy. Neurographics. 2011;1(1):39-48.

2. Leopold SS, Battista V, Oliverio JA. Safety and efficacy of intraarticular hip injection using anatomic landmarks. Clin Orthop Relat Res. 2001;(391):192-197.

3. Dodré E, Lefebvre G, Cockenpot E, Chastanet P, Cotten A. Interventional MSK procedures: the hip.  Br J Radiol. 2016;89(1057):20150408.

4. Hankey S, McCall IW, Park WM, O’Connor BT. Technical problems in arthrography of the painful hip arthroplasty. Clin Radiol. 1979;30(6):653-656.

5. Yasar E, Singh JR, Hill J, Akuthota V. Image-guided injections of the hip. J Nov Physiother Phys Rehabil. 2014;1(2):39-48. 

6. Aly R, Maibach HI. Aerobic microbial flora of intertrigenous skin. Appl Environ Microbiol. 1977;33(1):97-100.

7. Fazel R, Krumholz HM, Wang W, et al. Exposure to low-dose ionizing radiation from medical imaging procedures. N Engl J Med. 2009;361(9):849-857.

8. Masoud MA, Said HG. Intra-articular hip injection using anatomic surface landmarks. Arthosc Tech. 2013;2(2):e147-e149.

9. Ofori K, Gordon SW, Akrobortu E, Ampene AA, Darko EO. Estimation of adult patient doses for selected x-ray diagnostic examinations. J Radiat Res Appl Sci. 2014;7(4):459-462.

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Devon Shuchman is a Clinical Instructor in the Department of Physical Medicine and Rehabilitation; Stephanie Moser is a Research Area Specialty Lead, and Matthew Wixson is a Clinical Instructor, both in the Department of Anesthesiology; David Jamadar is a Professor in the Department of Radiology; all at Michigan Medicine in Ann Arbor. Devon Shuchman is a Pain Physician, and David Jamadar is a Physician in the Department of Radiology, both at the VA Ann Arbor Healthcare System.
Correspondence: Devon Shuchman (newmand@med.umich.edu)

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Devon Shuchman is a Clinical Instructor in the Department of Physical Medicine and Rehabilitation; Stephanie Moser is a Research Area Specialty Lead, and Matthew Wixson is a Clinical Instructor, both in the Department of Anesthesiology; David Jamadar is a Professor in the Department of Radiology; all at Michigan Medicine in Ann Arbor. Devon Shuchman is a Pain Physician, and David Jamadar is a Physician in the Department of Radiology, both at the VA Ann Arbor Healthcare System.
Correspondence: Devon Shuchman (newmand@med.umich.edu)

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The authors report no actual or potential conflicts of interest with regard to this article.

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.

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Devon Shuchman is a Clinical Instructor in the Department of Physical Medicine and Rehabilitation; Stephanie Moser is a Research Area Specialty Lead, and Matthew Wixson is a Clinical Instructor, both in the Department of Anesthesiology; David Jamadar is a Professor in the Department of Radiology; all at Michigan Medicine in Ann Arbor. Devon Shuchman is a Pain Physician, and David Jamadar is a Physician in the Department of Radiology, both at the VA Ann Arbor Healthcare System.
Correspondence: Devon Shuchman (newmand@med.umich.edu)

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The authors report no actual or potential conflicts of interest with regard to this article.

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.

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Related Articles
A retrospective comparison study of the anterior-oblique and lateral approach to hip injection procedures suggests that the lateral approach may be a valuable interventional skill for those performing hip injections.
A retrospective comparison study of the anterior-oblique and lateral approach to hip injection procedures suggests that the lateral approach may be a valuable interventional skill for those performing hip injections.

Hip injections are performed as diagnostic and therapeutic interventions across a variety of medical subspecialties, including but not limited to those practicing physical medicine and rehabilitation, pain medicine, sports medicine, orthopedic surgery, and radiology. Traditional image-guided intra-articular hip injection commonly uses an anterior-oblique approach from a starting point on the anterior groin traversing soft tissue anterior to the femoral neck to the target needle placement at the femoral head-neck junction.

In fluoroscopic procedures, a coaxial technique for needles placement is used for safe and precise insertion of needles. An X-ray beam is angled in line with the projected path of the needle from skin entry point to injection target. Coaxial, en face technique (also called EF, parallel, hub view, down the barrel, or barrel view) appears as a single radiopaque dot over the target injection site.1 This technique minimizes needle redirection for correction of the injection path and minimal disturbance of surrounding tissue on the approach to the intended target.

Noncoaxial technique, as used in the anterior-oblique approach, intentionally directs the needle away from a skin entry point, the needle barrel traversing the X-ray beam toward an injection target. Clinical challenges to injection with the anterior-oblique approach include using a noncoaxial technique. Additional challenges to the anterior-oblique (also referred to as anterior) approach are body habitus and pannus, proximity to neurovascular structures, and patient positioning. By understanding the risks and benefits of varied technical approaches to accomplish a clinical goal and outcome, trainees are better able to select the technique most appropriate for a varied patient population.

Common risks to patients for all intra-articular interventions include bleeding, infection, and pain. Risk of damage to nearby structures is often mentioned as part of a standard informed consent process as it relates to the femoral vein, artery, and nerve that are in close anatomical proximity to the target injection site. When prior studies have examined the risk of complications resulting from intra-articular hip injections, a common conclusion is that despite a relatively low-risk profile for skilled interventionalists, efforts to avoid needle placement in the medial 50% of the femoral head on antero-posterior imaging is recommended.2

The anterior technique is a commonly described approach, and the same can be used for both ultrasound-guided and fluoroscopically guided hip injections.3 Using ultrasound guidance, the anterior technique can be performed with in-plane direct visualization of the needle throughout the procedure. With fluoroscopic guidance, the anterior approach is performed out-of-plane, using the noncoaxial technique. This requires the interventionalist to use tactile and anatomic guidance to the target injection site. The anterior approach for hip injection is one of few interventions where coaxial technique is not used for the procedure, making the instruction for a learner less concrete and potentially more challenging related to the needle path not under direct visualization in plane with the X-ray beam.

Technical guidance and detailed instruction for the lateral approach is infrequently described in fluoroscopic interventional texts. Reference to a lateral approach hip injection was made as early as the 1970s, without detail provided on the technique, with respect to the advantage of visualization of the hip joint for needle placement when hardware is in place.4 A more recent article described a lateral approach technique involving the patient in a decubitus (lateral) supine position, which presents limitations in consistent fluoroscopic imaging and can be a challenging static position for the patient to maintain.5

The retrospective review of anterior-oblique and lateral approach procedures in this study aims to demonstrate that there is no significant difference in radiation exposure, rate of successful intra-articular injection, or complication rate. If proven as a noninferior technique, the lateral approach may be a valuable interventional skill to those performing hip injections. Potential benefits to the patient and provider include options for the provider to access the joint using either technique. Additionally, the approach can be added to the instructional plan for those practitioners providing technical instruction to trainees within their health care system.

 

 

Methods

The institutional review board at the VA Ann Arbor Healthcare System reviewed and granted approval for this study. One of 5 interventional pain physician staff members at the VA Ann Arbor Healthcare System performed fluoroscopically guided hip injections. Interventional pain fellows under the direct supervision of board-certified physicians performed the procedures for the study cases. Supervising physicians included both physiatrists and anesthesiologists. Images were reviewed and evaluated without corresponding patient biographic data.

For cases using the lateral approach, the patients were positioned supine on the fluoroscopy table. In anterior-posterior and lateral views, trajectory lines are drawn using a long metal marking rod held adjacent to the patient. With pulsed low-dose fluoroscopy, transverse lines are drawn to identify midpoint of the femoral head in lateral view (Figure 1A, x-axis) and the most direct line from skin to lateral femoral head neck junction joint target (Figure 1B, z-axis). Also confirmed in lateral view, the z-axis marked line drawn on the skin is used to confirm that this transverse plane crosses the overlapping femoral heads (Figure 1A, y-axis).



The cross-section of these transverse and coronal plane lines identifies the starting point for the most direct approach from skin to injection target at femoral head-neck junction. Using the coaxial technique in the lateral view, the needle is introduced and advanced using intermittent fluoroscopic images to the lateral joint target. Continuing in this view, the interventionalist can ensure that advancing the needle to the osseous endpoint will place the tip at the midpoint of the femoral head at the target on the lateral surface, avoiding inadvertent advance of the needle anterior or posterior the femoral head. Final needle placement confirmation is then completed in antero-posterior view (Figure 2A). Contrast enhancement is used to confirm intra-articular spread (Figure 2B).



Cases included in the study were performed over an 8-month period in 2017. Case images recorded in IntelliSpace PACS Radiology software (Andover, MA) were included by creating a list of all cases performed and documented using the major joint injection procedure code. The cases reviewed began with the most recent cases. Two research team members (1 radiologist and 1 interventional pain physician) reviewed the series of saved images for each patient and the associated procedure report. The research team members documented and recorded de-identified study data in Microsoft Excel (Redmond, WA).

Imaging reports, using the saved images and the associated procedure report, were classified for technical approach (anterior, lateral, or inconclusive), success of joint injection as evidenced by appropriate contrast enhancement within the joint space (successful, unsuccessful, or incomplete images), documented use of sedation (yes, no), patient positioning (supine, prone), radiation exposure dose, radiation exposure time, and additional comments, such as “notable pannus” or “hardware present” to annotate significant findings on imaging review.

Statistical Analysis

The distribution of 2 outcomes used to compare rates of complication, radiation dose, and exposure time was checked using the Shapiro-Wilk test. Power analysis determined that inclusion of 30 anterior and 30 lateral cases results in adequate power to detect a 1-point mean difference, assuming a standard deviation of 1.5 in each group. Both radiation dose and exposure time were found to be nonnormally distributed (W = 0.65, P < .001; W = 0.86, P < .001; respectively). Median and interquartile range (IQR) of dose and time in seconds for anterior and lateral approaches were computed. Median differences in radiation dose and exposure time between anterior and lateral approaches were assessed with the k-sample test of equality of medians. All analyses were conducted using Stata Version 14.1 (College Station, TX).

 

 

Results

Between June 2017 and January 2018, 88 cases were reviewed as performed, with 30 anterior and 30 lateral approach cases included in this retrospective comparison study. A total of 28 cases were excluded from the study for using an inconclusive approach, multiple or bilateral procedures, cases without recorded dose and time data, and inadequately saved images to provide meaningful data (Figure 3).

Rate of successful intervention with needle placement confirmed within the articular space on contrast enhancement was not significantly different in the study groups with 96.7% (29 of 30) anterior approach cases reported as successful, 100% (30 of 30) lateral approach cases reported as successful. Overhanging pannus in the viewing area was reported in 5 anterior approach cases and 4 lateral cases. Hardware was noted in 2 lateral approach cases, none in anterior approach cases. Sedation was used for 3 of the anterior approach cases and none of the lateral approach cases.



Patients undergoing the lateral approach received a higher median radiation dose than did those undergoing the anterior approach, but this was not statistically significant (P = .07) (Table). Those undergoing the lateral approach also had a longer median exposure time than did those undergoing the anterior approach, but this also was not statistically significant (P = .3). With no immediate complications reported in any of the studied interventions, there was no difference in complication rates between anterior and lateral approach cases.

 

Discussion

Pain medicine fellows who have previously completed residency in a variety of disciplines, often either anesthesiology or physical medicine and rehabilitation, perform fluoroscopically guided procedures and benefit from increased experience with coaxial technique as this improves needle depth and location awareness. Once mastered, this skill set can be applied to and useful for multiple interventional pain procedures. Similar technical instruction with an emphasis on coaxial technique for hip injections as performed in the anterior or anterolateral approach can be used in both fluoroscopic and ultrasound-guided procedures, including facet injection, transforaminal epidural steroid injection, and myriad other procedures performed to ameliorate pain. There are advantages to pursuing a similar approach with all image-guided procedures. Evaluated in this comparison study is an alternative technique that has potential for risk reduction benefit with reduced proximity to neurovascular structures, which ultimately leads to a safer procedure profile.

Using a lateral approach, the interventionalist determines a starting point, entering the skin at a greater distance from any overlying pannus and the elevated concentration of gram-negative and gram-positive bacteria contained within the inguinal skin.6 A previous study demonstrated improved success of intra-articular needle tip placement without image guidance in patients with body mass index (BMI) < 30.7 A prior study of anterior approach using anatomic landmarks as compared to lateral approach demonstrated the anterior approach pierced or contacted the femoral nerve in 27% of anterior cases and came within 5 mm of 60% of anterior cases.2 Use of image guidance, whether ultrasound, fluoroscopy, or computed tomography (CT) is preferred related to reduced risk of contact with adjacent neurovascular structures. Anatomic surface landmarks have been described as an alternative injection technique, without the use of fluoroscopy for confirmatory initial, intraprocedure, and final placement.8 Palpation of anatomic structures is required for this nonimage-guided technique, and although similar to the described technique in this study, the anatomically guided injection starting point is more lateral than the anterior approach but not in the most lateral position in the transverse plane that is used for this fluoroscopically guided lateral approach study.

Physiologic characteristics of subjects and technical aspects of fluoroscopy both can be factors in radiation dose and exposure times for hip injections. Patient BMI was not included in the data collection, but further study would seek to determine whether BMI is a significant risk for any increased radiation dose and exposure times using lateral approach injections. Use of lateral images for fluoroscopy requires penetration of X-ray beam through more tissue compared with that of anterior-posterior images. Further study of these techniques would benefit from comparing the pulse rate of fluoroscopic images and collimation (or focusing of the radiation beam over a smaller area of tissue) as factors in any observed increase in total radiation dose and exposure times.

Improving the safety profile of this procedure could have a positive impact on the patient population receiving fluoroscopic hip injections, both within the VA Ann Arbor Health System and elsewhere. While the study population was limited to the VA patient population seeking subspecialty nonsurgical joint care at a single tertiary care center, this technique is generalizable and can be used in most patients, as hip pain is a common condition necessitating nonoperative evaluation and treatment.

 

 

Radiation Exposures

As our analysis demonstrates, mean radiation dose exposure for each group was consistent with low (≤ 3 mSv) to moderate (> 3-20 mSv) annual effective doses in the general population.7 Both anterior and lateral median radiation dose of 1 mGy and 3 mGy, respectively, are within the standard exposure for radiographs of the pelvis (1.31 mGy).9 It is therefore reasonable to consider a lateral approach for hip injection, given the benefits of direct coaxial approach and avoiding needle entry through higher bacteria-concentrated skin.

The lateral approach did have increased radiation dose and exposure time, although it was not statistically significantly greater than the anterior approach. The difference between radiation dose and time to perform either technique was not clinically significant. One potential explanation for this is that the lateral technique has increased tissue to penetrate, which can be reduced with collimation and other fluoroscopic image adjustments. Additionally, as trainees progress in competency, fewer images should need to be obtained.7 We hypothesize that as familiarity and comfort with this technique increase, the number of images necessary for successful injection would decrease, leading to decreased radiation dose and exposure time. We would expect that in the hands of a board-certified interventionalist, radiation dose and exposure time would be significantly decreased as compared to our current dataset, and this is an area of planned further study. With our existing dataset, the majority of procedures were performed with trainees, with inadequate information documented for comparison of dose over time and procedural experience under individual physicians.

Notable strengths of this study are the direct comparison of the anterior approach when compared to the lateral approach with regard to radiation dose and exposure time, which we have not seen described in the literature. A detailed description of the technique may result in increased utilization by other providers. Data were collected from multiple providers, as board-certified pain physicians and board-eligible interventional pain fellows performed the procedures. This variability in providers increases the generalizability of the findings, with a variety of providers, disciplines, years of experiences, and type of training represented.

 

Limitations

Limitations include the retrospective nature of the study and the relatively small sample size. However, even with this limitation, it is notable that no statistically significant differences were observed in mean radiation dose or fluoroscopy exposure time, making the lateral approach, at minimum, a noninferior technique. Combined with the improved safety profile, this technique is a viable alternative to the traditional anterior-oblique approach. Further study should be performed, such as a prospective, randomized control trial investigating the 2 techniques and following pain scores and functional ability after the procedure.

Conclusion

Given the decreased procedural risk related to proximity of neurovascular structures and coaxial technique for needle advancement, lateral approach for hip injection should be considered by those in any discipline performing fluoroscopically guided procedures. Lateral technique may be particularly useful in technically challenging cases and when skin entry at the anterior groin is suboptimal, as a noninferior alternative to traditional anterior method.

Hip injections are performed as diagnostic and therapeutic interventions across a variety of medical subspecialties, including but not limited to those practicing physical medicine and rehabilitation, pain medicine, sports medicine, orthopedic surgery, and radiology. Traditional image-guided intra-articular hip injection commonly uses an anterior-oblique approach from a starting point on the anterior groin traversing soft tissue anterior to the femoral neck to the target needle placement at the femoral head-neck junction.

In fluoroscopic procedures, a coaxial technique for needles placement is used for safe and precise insertion of needles. An X-ray beam is angled in line with the projected path of the needle from skin entry point to injection target. Coaxial, en face technique (also called EF, parallel, hub view, down the barrel, or barrel view) appears as a single radiopaque dot over the target injection site.1 This technique minimizes needle redirection for correction of the injection path and minimal disturbance of surrounding tissue on the approach to the intended target.

Noncoaxial technique, as used in the anterior-oblique approach, intentionally directs the needle away from a skin entry point, the needle barrel traversing the X-ray beam toward an injection target. Clinical challenges to injection with the anterior-oblique approach include using a noncoaxial technique. Additional challenges to the anterior-oblique (also referred to as anterior) approach are body habitus and pannus, proximity to neurovascular structures, and patient positioning. By understanding the risks and benefits of varied technical approaches to accomplish a clinical goal and outcome, trainees are better able to select the technique most appropriate for a varied patient population.

Common risks to patients for all intra-articular interventions include bleeding, infection, and pain. Risk of damage to nearby structures is often mentioned as part of a standard informed consent process as it relates to the femoral vein, artery, and nerve that are in close anatomical proximity to the target injection site. When prior studies have examined the risk of complications resulting from intra-articular hip injections, a common conclusion is that despite a relatively low-risk profile for skilled interventionalists, efforts to avoid needle placement in the medial 50% of the femoral head on antero-posterior imaging is recommended.2

The anterior technique is a commonly described approach, and the same can be used for both ultrasound-guided and fluoroscopically guided hip injections.3 Using ultrasound guidance, the anterior technique can be performed with in-plane direct visualization of the needle throughout the procedure. With fluoroscopic guidance, the anterior approach is performed out-of-plane, using the noncoaxial technique. This requires the interventionalist to use tactile and anatomic guidance to the target injection site. The anterior approach for hip injection is one of few interventions where coaxial technique is not used for the procedure, making the instruction for a learner less concrete and potentially more challenging related to the needle path not under direct visualization in plane with the X-ray beam.

Technical guidance and detailed instruction for the lateral approach is infrequently described in fluoroscopic interventional texts. Reference to a lateral approach hip injection was made as early as the 1970s, without detail provided on the technique, with respect to the advantage of visualization of the hip joint for needle placement when hardware is in place.4 A more recent article described a lateral approach technique involving the patient in a decubitus (lateral) supine position, which presents limitations in consistent fluoroscopic imaging and can be a challenging static position for the patient to maintain.5

The retrospective review of anterior-oblique and lateral approach procedures in this study aims to demonstrate that there is no significant difference in radiation exposure, rate of successful intra-articular injection, or complication rate. If proven as a noninferior technique, the lateral approach may be a valuable interventional skill to those performing hip injections. Potential benefits to the patient and provider include options for the provider to access the joint using either technique. Additionally, the approach can be added to the instructional plan for those practitioners providing technical instruction to trainees within their health care system.

 

 

Methods

The institutional review board at the VA Ann Arbor Healthcare System reviewed and granted approval for this study. One of 5 interventional pain physician staff members at the VA Ann Arbor Healthcare System performed fluoroscopically guided hip injections. Interventional pain fellows under the direct supervision of board-certified physicians performed the procedures for the study cases. Supervising physicians included both physiatrists and anesthesiologists. Images were reviewed and evaluated without corresponding patient biographic data.

For cases using the lateral approach, the patients were positioned supine on the fluoroscopy table. In anterior-posterior and lateral views, trajectory lines are drawn using a long metal marking rod held adjacent to the patient. With pulsed low-dose fluoroscopy, transverse lines are drawn to identify midpoint of the femoral head in lateral view (Figure 1A, x-axis) and the most direct line from skin to lateral femoral head neck junction joint target (Figure 1B, z-axis). Also confirmed in lateral view, the z-axis marked line drawn on the skin is used to confirm that this transverse plane crosses the overlapping femoral heads (Figure 1A, y-axis).



The cross-section of these transverse and coronal plane lines identifies the starting point for the most direct approach from skin to injection target at femoral head-neck junction. Using the coaxial technique in the lateral view, the needle is introduced and advanced using intermittent fluoroscopic images to the lateral joint target. Continuing in this view, the interventionalist can ensure that advancing the needle to the osseous endpoint will place the tip at the midpoint of the femoral head at the target on the lateral surface, avoiding inadvertent advance of the needle anterior or posterior the femoral head. Final needle placement confirmation is then completed in antero-posterior view (Figure 2A). Contrast enhancement is used to confirm intra-articular spread (Figure 2B).



Cases included in the study were performed over an 8-month period in 2017. Case images recorded in IntelliSpace PACS Radiology software (Andover, MA) were included by creating a list of all cases performed and documented using the major joint injection procedure code. The cases reviewed began with the most recent cases. Two research team members (1 radiologist and 1 interventional pain physician) reviewed the series of saved images for each patient and the associated procedure report. The research team members documented and recorded de-identified study data in Microsoft Excel (Redmond, WA).

Imaging reports, using the saved images and the associated procedure report, were classified for technical approach (anterior, lateral, or inconclusive), success of joint injection as evidenced by appropriate contrast enhancement within the joint space (successful, unsuccessful, or incomplete images), documented use of sedation (yes, no), patient positioning (supine, prone), radiation exposure dose, radiation exposure time, and additional comments, such as “notable pannus” or “hardware present” to annotate significant findings on imaging review.

Statistical Analysis

The distribution of 2 outcomes used to compare rates of complication, radiation dose, and exposure time was checked using the Shapiro-Wilk test. Power analysis determined that inclusion of 30 anterior and 30 lateral cases results in adequate power to detect a 1-point mean difference, assuming a standard deviation of 1.5 in each group. Both radiation dose and exposure time were found to be nonnormally distributed (W = 0.65, P < .001; W = 0.86, P < .001; respectively). Median and interquartile range (IQR) of dose and time in seconds for anterior and lateral approaches were computed. Median differences in radiation dose and exposure time between anterior and lateral approaches were assessed with the k-sample test of equality of medians. All analyses were conducted using Stata Version 14.1 (College Station, TX).

 

 

Results

Between June 2017 and January 2018, 88 cases were reviewed as performed, with 30 anterior and 30 lateral approach cases included in this retrospective comparison study. A total of 28 cases were excluded from the study for using an inconclusive approach, multiple or bilateral procedures, cases without recorded dose and time data, and inadequately saved images to provide meaningful data (Figure 3).

Rate of successful intervention with needle placement confirmed within the articular space on contrast enhancement was not significantly different in the study groups with 96.7% (29 of 30) anterior approach cases reported as successful, 100% (30 of 30) lateral approach cases reported as successful. Overhanging pannus in the viewing area was reported in 5 anterior approach cases and 4 lateral cases. Hardware was noted in 2 lateral approach cases, none in anterior approach cases. Sedation was used for 3 of the anterior approach cases and none of the lateral approach cases.



Patients undergoing the lateral approach received a higher median radiation dose than did those undergoing the anterior approach, but this was not statistically significant (P = .07) (Table). Those undergoing the lateral approach also had a longer median exposure time than did those undergoing the anterior approach, but this also was not statistically significant (P = .3). With no immediate complications reported in any of the studied interventions, there was no difference in complication rates between anterior and lateral approach cases.

 

Discussion

Pain medicine fellows who have previously completed residency in a variety of disciplines, often either anesthesiology or physical medicine and rehabilitation, perform fluoroscopically guided procedures and benefit from increased experience with coaxial technique as this improves needle depth and location awareness. Once mastered, this skill set can be applied to and useful for multiple interventional pain procedures. Similar technical instruction with an emphasis on coaxial technique for hip injections as performed in the anterior or anterolateral approach can be used in both fluoroscopic and ultrasound-guided procedures, including facet injection, transforaminal epidural steroid injection, and myriad other procedures performed to ameliorate pain. There are advantages to pursuing a similar approach with all image-guided procedures. Evaluated in this comparison study is an alternative technique that has potential for risk reduction benefit with reduced proximity to neurovascular structures, which ultimately leads to a safer procedure profile.

Using a lateral approach, the interventionalist determines a starting point, entering the skin at a greater distance from any overlying pannus and the elevated concentration of gram-negative and gram-positive bacteria contained within the inguinal skin.6 A previous study demonstrated improved success of intra-articular needle tip placement without image guidance in patients with body mass index (BMI) < 30.7 A prior study of anterior approach using anatomic landmarks as compared to lateral approach demonstrated the anterior approach pierced or contacted the femoral nerve in 27% of anterior cases and came within 5 mm of 60% of anterior cases.2 Use of image guidance, whether ultrasound, fluoroscopy, or computed tomography (CT) is preferred related to reduced risk of contact with adjacent neurovascular structures. Anatomic surface landmarks have been described as an alternative injection technique, without the use of fluoroscopy for confirmatory initial, intraprocedure, and final placement.8 Palpation of anatomic structures is required for this nonimage-guided technique, and although similar to the described technique in this study, the anatomically guided injection starting point is more lateral than the anterior approach but not in the most lateral position in the transverse plane that is used for this fluoroscopically guided lateral approach study.

Physiologic characteristics of subjects and technical aspects of fluoroscopy both can be factors in radiation dose and exposure times for hip injections. Patient BMI was not included in the data collection, but further study would seek to determine whether BMI is a significant risk for any increased radiation dose and exposure times using lateral approach injections. Use of lateral images for fluoroscopy requires penetration of X-ray beam through more tissue compared with that of anterior-posterior images. Further study of these techniques would benefit from comparing the pulse rate of fluoroscopic images and collimation (or focusing of the radiation beam over a smaller area of tissue) as factors in any observed increase in total radiation dose and exposure times.

Improving the safety profile of this procedure could have a positive impact on the patient population receiving fluoroscopic hip injections, both within the VA Ann Arbor Health System and elsewhere. While the study population was limited to the VA patient population seeking subspecialty nonsurgical joint care at a single tertiary care center, this technique is generalizable and can be used in most patients, as hip pain is a common condition necessitating nonoperative evaluation and treatment.

 

 

Radiation Exposures

As our analysis demonstrates, mean radiation dose exposure for each group was consistent with low (≤ 3 mSv) to moderate (> 3-20 mSv) annual effective doses in the general population.7 Both anterior and lateral median radiation dose of 1 mGy and 3 mGy, respectively, are within the standard exposure for radiographs of the pelvis (1.31 mGy).9 It is therefore reasonable to consider a lateral approach for hip injection, given the benefits of direct coaxial approach and avoiding needle entry through higher bacteria-concentrated skin.

The lateral approach did have increased radiation dose and exposure time, although it was not statistically significantly greater than the anterior approach. The difference between radiation dose and time to perform either technique was not clinically significant. One potential explanation for this is that the lateral technique has increased tissue to penetrate, which can be reduced with collimation and other fluoroscopic image adjustments. Additionally, as trainees progress in competency, fewer images should need to be obtained.7 We hypothesize that as familiarity and comfort with this technique increase, the number of images necessary for successful injection would decrease, leading to decreased radiation dose and exposure time. We would expect that in the hands of a board-certified interventionalist, radiation dose and exposure time would be significantly decreased as compared to our current dataset, and this is an area of planned further study. With our existing dataset, the majority of procedures were performed with trainees, with inadequate information documented for comparison of dose over time and procedural experience under individual physicians.

Notable strengths of this study are the direct comparison of the anterior approach when compared to the lateral approach with regard to radiation dose and exposure time, which we have not seen described in the literature. A detailed description of the technique may result in increased utilization by other providers. Data were collected from multiple providers, as board-certified pain physicians and board-eligible interventional pain fellows performed the procedures. This variability in providers increases the generalizability of the findings, with a variety of providers, disciplines, years of experiences, and type of training represented.

 

Limitations

Limitations include the retrospective nature of the study and the relatively small sample size. However, even with this limitation, it is notable that no statistically significant differences were observed in mean radiation dose or fluoroscopy exposure time, making the lateral approach, at minimum, a noninferior technique. Combined with the improved safety profile, this technique is a viable alternative to the traditional anterior-oblique approach. Further study should be performed, such as a prospective, randomized control trial investigating the 2 techniques and following pain scores and functional ability after the procedure.

Conclusion

Given the decreased procedural risk related to proximity of neurovascular structures and coaxial technique for needle advancement, lateral approach for hip injection should be considered by those in any discipline performing fluoroscopically guided procedures. Lateral technique may be particularly useful in technically challenging cases and when skin entry at the anterior groin is suboptimal, as a noninferior alternative to traditional anterior method.

References

1. Cianfoni A, Boulter DJ, Rumboldt Z, Sapton T, Bonaldi G. Guidelines to imaging landmarks for interventional spine procedures: fluoroscopy and CT anatomy. Neurographics. 2011;1(1):39-48.

2. Leopold SS, Battista V, Oliverio JA. Safety and efficacy of intraarticular hip injection using anatomic landmarks. Clin Orthop Relat Res. 2001;(391):192-197.

3. Dodré E, Lefebvre G, Cockenpot E, Chastanet P, Cotten A. Interventional MSK procedures: the hip.  Br J Radiol. 2016;89(1057):20150408.

4. Hankey S, McCall IW, Park WM, O’Connor BT. Technical problems in arthrography of the painful hip arthroplasty. Clin Radiol. 1979;30(6):653-656.

5. Yasar E, Singh JR, Hill J, Akuthota V. Image-guided injections of the hip. J Nov Physiother Phys Rehabil. 2014;1(2):39-48. 

6. Aly R, Maibach HI. Aerobic microbial flora of intertrigenous skin. Appl Environ Microbiol. 1977;33(1):97-100.

7. Fazel R, Krumholz HM, Wang W, et al. Exposure to low-dose ionizing radiation from medical imaging procedures. N Engl J Med. 2009;361(9):849-857.

8. Masoud MA, Said HG. Intra-articular hip injection using anatomic surface landmarks. Arthosc Tech. 2013;2(2):e147-e149.

9. Ofori K, Gordon SW, Akrobortu E, Ampene AA, Darko EO. Estimation of adult patient doses for selected x-ray diagnostic examinations. J Radiat Res Appl Sci. 2014;7(4):459-462.

References

1. Cianfoni A, Boulter DJ, Rumboldt Z, Sapton T, Bonaldi G. Guidelines to imaging landmarks for interventional spine procedures: fluoroscopy and CT anatomy. Neurographics. 2011;1(1):39-48.

2. Leopold SS, Battista V, Oliverio JA. Safety and efficacy of intraarticular hip injection using anatomic landmarks. Clin Orthop Relat Res. 2001;(391):192-197.

3. Dodré E, Lefebvre G, Cockenpot E, Chastanet P, Cotten A. Interventional MSK procedures: the hip.  Br J Radiol. 2016;89(1057):20150408.

4. Hankey S, McCall IW, Park WM, O’Connor BT. Technical problems in arthrography of the painful hip arthroplasty. Clin Radiol. 1979;30(6):653-656.

5. Yasar E, Singh JR, Hill J, Akuthota V. Image-guided injections of the hip. J Nov Physiother Phys Rehabil. 2014;1(2):39-48. 

6. Aly R, Maibach HI. Aerobic microbial flora of intertrigenous skin. Appl Environ Microbiol. 1977;33(1):97-100.

7. Fazel R, Krumholz HM, Wang W, et al. Exposure to low-dose ionizing radiation from medical imaging procedures. N Engl J Med. 2009;361(9):849-857.

8. Masoud MA, Said HG. Intra-articular hip injection using anatomic surface landmarks. Arthosc Tech. 2013;2(2):e147-e149.

9. Ofori K, Gordon SW, Akrobortu E, Ampene AA, Darko EO. Estimation of adult patient doses for selected x-ray diagnostic examinations. J Radiat Res Appl Sci. 2014;7(4):459-462.

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The Shot That Won the Revolutionary War and Is Still Reverberating

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The disputes about those who decline to vaccinate their children for communicable infectious diseases, especially measles, have been in the headlines of late. Those refusals are often done in the name of “medical freedom.”1 Yet this is a much older debate for the military. It seems fitting in this month in which we celebrate the 243rd anniversary of the Declaration of Independence to reflect on the earliest history of the interaction between vaccinations and war in the US and what it tells us about the fight for religious and political freedom and individual liberty.

Go back in time with me to 1776, long before the Fourth of July was a day for barbecues and fireworks. We are in Boston, Philadelphia, and other important cities in colonial America. This time, concern was not about measles but the even more dreaded smallpox. In the first years of the Revolutionary War, General George Washington took command of a newly formed and named Continental Army. A catastrophic 90% of casualties in the Continental Army were from infectious diseases, with the lion’s share of these from smallpox, which at that time had a mortality rate of about 30%.2,3

Early efforts to introduce inoculation into the colonies had failed for many of the same reasons parents across the US today refuse immunization: fear and anxiety. When the renowned New England Puritan minister and scientist Cotton Mather attempted in 1721 to introduce variolation, his house was firebombed and his fellow clergy and physicians alleged that his efforts at inoculation were challenging God’s will to send a plague.3 Variolation was the now antiquated and then laborious process in which a previously unexposed individual was inoculated with material from the vesicle of someone infected with the disease.4,5 Variolation was practiced in parts of Africa and Asia and among wealthy Europeans but remained controversial in many colonies where few Americans had been exposed to smallpox or could afford the procedure.3

It is important to note that the use of variolation was practiced before Edward Jenner famously demonstrated that cowpox vaccine could provide immunity to smallpox in 1798. The majority of those inoculated would develop a mild case of smallpox that required a 5-week period of illness and recovery that provided lifelong immunity. However, during those 5 weeks, they remained a vector of disease for the uninoculated. Southern and New England colonies passed laws that prohibited variolation. Those anti-inoculation attitudes were the basis for the order given to the surgeons general of the Continental Army in 1776 that all inoculations of the troops were forbidden, despite the fact that perhaps only 25% of soldiers possessed any natural immunity.2,3

There was yet another reason that many colonial Americans opposed government-sponsored preventative care, and it was the same reason that they were fighting a war of independence: distrust and resentment of authority. The modern antivaccine movement voices similar fears and suspicions regarding public health campaigns and especially legislative efforts to mandate vaccinations or remove extant exemptions.

In 1775 in Boston, a smallpox outbreak occurred at the same time the Americans laid siege to the British troops occupying the city. Greater natural immunity to the scourge of smallpox either through exposure or variolation provided the British with a stronger defense than the mere city fortifications. There are even some suspicions that the British used the virus as a proto-biologic weapon.

General Washington had initially been against inoculation until he realized that without it the British might win the war. This possibility presented him with a momentous decision: inoculate despite widespread anxiety that variolation would spread the disease or risk the virus ravaging the fighting force. Perhaps the most compelling reason to variolate was that new recruits refused to sign up, fearing not that they would die in battle but of smallpox. In 1777, Washington mandated variolation of the nonimmune troops and new recruits, making it the first large-scale military preventative care measure in history.

Recapitulating an ethical dilemma that still rages in the military nearly 3 centuries later, for British soldiers, inoculation was voluntary not compulsory as for the Americans. There was so much opposition to Washington’s order that communications with surgeons were secret, and commanding officers had to oversee the inoculations.2,3

Washington’s policy not only contributed mightily to the American victory in the war, but also set the precedent for compulsory vaccination in the US military for the next 3 centuries. Currently, regulations require that service members be vaccinated for multiple infectious diseases. Of interest, this mandatory vaccination program has led to no reported cases of measles among military families to date, in part because of federal regulations requiring families of those service members to be vaccinated.6

Ironically, once General Washington made the decision for mass inoculation, he encountered little actual resistance among the troops. However, throughout military history some service members have objected to compulsory vaccination on medical, religious, and personal grounds. In United States v Chadwell, a military court ruled against 2 Marine Corps members who refused vaccination for smallpox, typhoid, paratyphoid, and influenza, citing religious grounds. The court opined that the military orders that ensure the health and safety of the armed forces and thereby that of the public override personal religious beliefs.7

The paradox of liberty—the liberty first won in the Revolutionary War—is that in a pluralistic representative democracy like ours to secure the freedom for all, some, such as the military, must relinquish the very choice to refuse. Their sacrifices grant liberty to others. On June 6, we commemorated the seventy-fifth anniversary of D-Day, remembering how great the cost of that eternal vigilance, which the patriot Thomas Paine said was the price of liberty. On Memorial Day, we remember all those men and women who died in the service of their country. And while they gave up the most precious gift, we must never forget that every person in uniform also surrenders many other significant personal freedoms so that their fellow civilians may exercise them.

The question General Washington faced is one that public health authorities and our legislators again confront. When should the freedom to refuse, which was won with the blood of many valiant heroes and has been defended since 1776, be curtailed for the greater good? We are the one nation in history that has made the defense of self-determination its highest value and in so doing, its greatest challenge.

References

1. Sun LH. Senate panel warns of dangers of ant-vaccine movement. https://www.washingtonpost.com/health/2019/03/05/combat-anti-vaxxers-us-needs-national-campaign-top-washington-state-official-says/?utm_term=.9a4201be0ed1. Published March 5, 2019. Accessed June 9, 2019.

2. Filsinger AL, Dwek R. George Washington and the first mass military inoculation. http://www.loc.gov/rr/scitech/GW&smallpoxinoculation.html. Published February 12, 2009. Accessed June 10, 2019.

3. Fenn EA. Pox Americana. New York: Hill and Wang; 2001.

4. Steadman’s Medical Dictionary. 28th edition. Philadelphia, PA: Lippincott, Williams & Wilkins; 2006.

5. Artenstein AW, Opal JM, Opal SM, Tramont EC, Georges P, Russell PK. History of U.S. military contributions to the study of vaccines and infectious diseases. Mil Med. 2005;170(suppl 4):3-11.

6. Jowers K. So far, no measles cases at military medical facilities—but officials are watching. https://www.militarytimes.com/pay-benefits/2019/04/19/so-far-no-measles-cases-at-military-medical-facilities-but-officials-are-watching/. Published April 19, 2019. Accessed June 9, 2019.

7. Cole JP, Swendiman KS. Mandatory vaccinations: precedent and current laws. https://fas.org/sgp/crs/misc/RS21414.pdf. Published May 21, 2014. Accessed June 10, 2019.

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The disputes about those who decline to vaccinate their children for communicable infectious diseases, especially measles, have been in the headlines of late. Those refusals are often done in the name of “medical freedom.”1 Yet this is a much older debate for the military. It seems fitting in this month in which we celebrate the 243rd anniversary of the Declaration of Independence to reflect on the earliest history of the interaction between vaccinations and war in the US and what it tells us about the fight for religious and political freedom and individual liberty.

Go back in time with me to 1776, long before the Fourth of July was a day for barbecues and fireworks. We are in Boston, Philadelphia, and other important cities in colonial America. This time, concern was not about measles but the even more dreaded smallpox. In the first years of the Revolutionary War, General George Washington took command of a newly formed and named Continental Army. A catastrophic 90% of casualties in the Continental Army were from infectious diseases, with the lion’s share of these from smallpox, which at that time had a mortality rate of about 30%.2,3

Early efforts to introduce inoculation into the colonies had failed for many of the same reasons parents across the US today refuse immunization: fear and anxiety. When the renowned New England Puritan minister and scientist Cotton Mather attempted in 1721 to introduce variolation, his house was firebombed and his fellow clergy and physicians alleged that his efforts at inoculation were challenging God’s will to send a plague.3 Variolation was the now antiquated and then laborious process in which a previously unexposed individual was inoculated with material from the vesicle of someone infected with the disease.4,5 Variolation was practiced in parts of Africa and Asia and among wealthy Europeans but remained controversial in many colonies where few Americans had been exposed to smallpox or could afford the procedure.3

It is important to note that the use of variolation was practiced before Edward Jenner famously demonstrated that cowpox vaccine could provide immunity to smallpox in 1798. The majority of those inoculated would develop a mild case of smallpox that required a 5-week period of illness and recovery that provided lifelong immunity. However, during those 5 weeks, they remained a vector of disease for the uninoculated. Southern and New England colonies passed laws that prohibited variolation. Those anti-inoculation attitudes were the basis for the order given to the surgeons general of the Continental Army in 1776 that all inoculations of the troops were forbidden, despite the fact that perhaps only 25% of soldiers possessed any natural immunity.2,3

There was yet another reason that many colonial Americans opposed government-sponsored preventative care, and it was the same reason that they were fighting a war of independence: distrust and resentment of authority. The modern antivaccine movement voices similar fears and suspicions regarding public health campaigns and especially legislative efforts to mandate vaccinations or remove extant exemptions.

In 1775 in Boston, a smallpox outbreak occurred at the same time the Americans laid siege to the British troops occupying the city. Greater natural immunity to the scourge of smallpox either through exposure or variolation provided the British with a stronger defense than the mere city fortifications. There are even some suspicions that the British used the virus as a proto-biologic weapon.

General Washington had initially been against inoculation until he realized that without it the British might win the war. This possibility presented him with a momentous decision: inoculate despite widespread anxiety that variolation would spread the disease or risk the virus ravaging the fighting force. Perhaps the most compelling reason to variolate was that new recruits refused to sign up, fearing not that they would die in battle but of smallpox. In 1777, Washington mandated variolation of the nonimmune troops and new recruits, making it the first large-scale military preventative care measure in history.

Recapitulating an ethical dilemma that still rages in the military nearly 3 centuries later, for British soldiers, inoculation was voluntary not compulsory as for the Americans. There was so much opposition to Washington’s order that communications with surgeons were secret, and commanding officers had to oversee the inoculations.2,3

Washington’s policy not only contributed mightily to the American victory in the war, but also set the precedent for compulsory vaccination in the US military for the next 3 centuries. Currently, regulations require that service members be vaccinated for multiple infectious diseases. Of interest, this mandatory vaccination program has led to no reported cases of measles among military families to date, in part because of federal regulations requiring families of those service members to be vaccinated.6

Ironically, once General Washington made the decision for mass inoculation, he encountered little actual resistance among the troops. However, throughout military history some service members have objected to compulsory vaccination on medical, religious, and personal grounds. In United States v Chadwell, a military court ruled against 2 Marine Corps members who refused vaccination for smallpox, typhoid, paratyphoid, and influenza, citing religious grounds. The court opined that the military orders that ensure the health and safety of the armed forces and thereby that of the public override personal religious beliefs.7

The paradox of liberty—the liberty first won in the Revolutionary War—is that in a pluralistic representative democracy like ours to secure the freedom for all, some, such as the military, must relinquish the very choice to refuse. Their sacrifices grant liberty to others. On June 6, we commemorated the seventy-fifth anniversary of D-Day, remembering how great the cost of that eternal vigilance, which the patriot Thomas Paine said was the price of liberty. On Memorial Day, we remember all those men and women who died in the service of their country. And while they gave up the most precious gift, we must never forget that every person in uniform also surrenders many other significant personal freedoms so that their fellow civilians may exercise them.

The question General Washington faced is one that public health authorities and our legislators again confront. When should the freedom to refuse, which was won with the blood of many valiant heroes and has been defended since 1776, be curtailed for the greater good? We are the one nation in history that has made the defense of self-determination its highest value and in so doing, its greatest challenge.

The disputes about those who decline to vaccinate their children for communicable infectious diseases, especially measles, have been in the headlines of late. Those refusals are often done in the name of “medical freedom.”1 Yet this is a much older debate for the military. It seems fitting in this month in which we celebrate the 243rd anniversary of the Declaration of Independence to reflect on the earliest history of the interaction between vaccinations and war in the US and what it tells us about the fight for religious and political freedom and individual liberty.

Go back in time with me to 1776, long before the Fourth of July was a day for barbecues and fireworks. We are in Boston, Philadelphia, and other important cities in colonial America. This time, concern was not about measles but the even more dreaded smallpox. In the first years of the Revolutionary War, General George Washington took command of a newly formed and named Continental Army. A catastrophic 90% of casualties in the Continental Army were from infectious diseases, with the lion’s share of these from smallpox, which at that time had a mortality rate of about 30%.2,3

Early efforts to introduce inoculation into the colonies had failed for many of the same reasons parents across the US today refuse immunization: fear and anxiety. When the renowned New England Puritan minister and scientist Cotton Mather attempted in 1721 to introduce variolation, his house was firebombed and his fellow clergy and physicians alleged that his efforts at inoculation were challenging God’s will to send a plague.3 Variolation was the now antiquated and then laborious process in which a previously unexposed individual was inoculated with material from the vesicle of someone infected with the disease.4,5 Variolation was practiced in parts of Africa and Asia and among wealthy Europeans but remained controversial in many colonies where few Americans had been exposed to smallpox or could afford the procedure.3

It is important to note that the use of variolation was practiced before Edward Jenner famously demonstrated that cowpox vaccine could provide immunity to smallpox in 1798. The majority of those inoculated would develop a mild case of smallpox that required a 5-week period of illness and recovery that provided lifelong immunity. However, during those 5 weeks, they remained a vector of disease for the uninoculated. Southern and New England colonies passed laws that prohibited variolation. Those anti-inoculation attitudes were the basis for the order given to the surgeons general of the Continental Army in 1776 that all inoculations of the troops were forbidden, despite the fact that perhaps only 25% of soldiers possessed any natural immunity.2,3

There was yet another reason that many colonial Americans opposed government-sponsored preventative care, and it was the same reason that they were fighting a war of independence: distrust and resentment of authority. The modern antivaccine movement voices similar fears and suspicions regarding public health campaigns and especially legislative efforts to mandate vaccinations or remove extant exemptions.

In 1775 in Boston, a smallpox outbreak occurred at the same time the Americans laid siege to the British troops occupying the city. Greater natural immunity to the scourge of smallpox either through exposure or variolation provided the British with a stronger defense than the mere city fortifications. There are even some suspicions that the British used the virus as a proto-biologic weapon.

General Washington had initially been against inoculation until he realized that without it the British might win the war. This possibility presented him with a momentous decision: inoculate despite widespread anxiety that variolation would spread the disease or risk the virus ravaging the fighting force. Perhaps the most compelling reason to variolate was that new recruits refused to sign up, fearing not that they would die in battle but of smallpox. In 1777, Washington mandated variolation of the nonimmune troops and new recruits, making it the first large-scale military preventative care measure in history.

Recapitulating an ethical dilemma that still rages in the military nearly 3 centuries later, for British soldiers, inoculation was voluntary not compulsory as for the Americans. There was so much opposition to Washington’s order that communications with surgeons were secret, and commanding officers had to oversee the inoculations.2,3

Washington’s policy not only contributed mightily to the American victory in the war, but also set the precedent for compulsory vaccination in the US military for the next 3 centuries. Currently, regulations require that service members be vaccinated for multiple infectious diseases. Of interest, this mandatory vaccination program has led to no reported cases of measles among military families to date, in part because of federal regulations requiring families of those service members to be vaccinated.6

Ironically, once General Washington made the decision for mass inoculation, he encountered little actual resistance among the troops. However, throughout military history some service members have objected to compulsory vaccination on medical, religious, and personal grounds. In United States v Chadwell, a military court ruled against 2 Marine Corps members who refused vaccination for smallpox, typhoid, paratyphoid, and influenza, citing religious grounds. The court opined that the military orders that ensure the health and safety of the armed forces and thereby that of the public override personal religious beliefs.7

The paradox of liberty—the liberty first won in the Revolutionary War—is that in a pluralistic representative democracy like ours to secure the freedom for all, some, such as the military, must relinquish the very choice to refuse. Their sacrifices grant liberty to others. On June 6, we commemorated the seventy-fifth anniversary of D-Day, remembering how great the cost of that eternal vigilance, which the patriot Thomas Paine said was the price of liberty. On Memorial Day, we remember all those men and women who died in the service of their country. And while they gave up the most precious gift, we must never forget that every person in uniform also surrenders many other significant personal freedoms so that their fellow civilians may exercise them.

The question General Washington faced is one that public health authorities and our legislators again confront. When should the freedom to refuse, which was won with the blood of many valiant heroes and has been defended since 1776, be curtailed for the greater good? We are the one nation in history that has made the defense of self-determination its highest value and in so doing, its greatest challenge.

References

1. Sun LH. Senate panel warns of dangers of ant-vaccine movement. https://www.washingtonpost.com/health/2019/03/05/combat-anti-vaxxers-us-needs-national-campaign-top-washington-state-official-says/?utm_term=.9a4201be0ed1. Published March 5, 2019. Accessed June 9, 2019.

2. Filsinger AL, Dwek R. George Washington and the first mass military inoculation. http://www.loc.gov/rr/scitech/GW&smallpoxinoculation.html. Published February 12, 2009. Accessed June 10, 2019.

3. Fenn EA. Pox Americana. New York: Hill and Wang; 2001.

4. Steadman’s Medical Dictionary. 28th edition. Philadelphia, PA: Lippincott, Williams & Wilkins; 2006.

5. Artenstein AW, Opal JM, Opal SM, Tramont EC, Georges P, Russell PK. History of U.S. military contributions to the study of vaccines and infectious diseases. Mil Med. 2005;170(suppl 4):3-11.

6. Jowers K. So far, no measles cases at military medical facilities—but officials are watching. https://www.militarytimes.com/pay-benefits/2019/04/19/so-far-no-measles-cases-at-military-medical-facilities-but-officials-are-watching/. Published April 19, 2019. Accessed June 9, 2019.

7. Cole JP, Swendiman KS. Mandatory vaccinations: precedent and current laws. https://fas.org/sgp/crs/misc/RS21414.pdf. Published May 21, 2014. Accessed June 10, 2019.

References

1. Sun LH. Senate panel warns of dangers of ant-vaccine movement. https://www.washingtonpost.com/health/2019/03/05/combat-anti-vaxxers-us-needs-national-campaign-top-washington-state-official-says/?utm_term=.9a4201be0ed1. Published March 5, 2019. Accessed June 9, 2019.

2. Filsinger AL, Dwek R. George Washington and the first mass military inoculation. http://www.loc.gov/rr/scitech/GW&smallpoxinoculation.html. Published February 12, 2009. Accessed June 10, 2019.

3. Fenn EA. Pox Americana. New York: Hill and Wang; 2001.

4. Steadman’s Medical Dictionary. 28th edition. Philadelphia, PA: Lippincott, Williams & Wilkins; 2006.

5. Artenstein AW, Opal JM, Opal SM, Tramont EC, Georges P, Russell PK. History of U.S. military contributions to the study of vaccines and infectious diseases. Mil Med. 2005;170(suppl 4):3-11.

6. Jowers K. So far, no measles cases at military medical facilities—but officials are watching. https://www.militarytimes.com/pay-benefits/2019/04/19/so-far-no-measles-cases-at-military-medical-facilities-but-officials-are-watching/. Published April 19, 2019. Accessed June 9, 2019.

7. Cole JP, Swendiman KS. Mandatory vaccinations: precedent and current laws. https://fas.org/sgp/crs/misc/RS21414.pdf. Published May 21, 2014. Accessed June 10, 2019.

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Flu vaccine succeeds in TNF inhibitor users

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MADRID – Influenza vaccination is similarly effective for individuals taking a tumor necrosis factor (TNF) inhibitor and healthy controls, but the number needed to vaccinate to prevent one case of influenza for patients taking a TNF inhibitor is much lower, according to data from a study presented at the European Congress of Rheumatology.

Dr. Giovanni Adami, rheumatologist, University of Verona, Italy
Mitchel L. Zoler/MDedge News
Dr. Giovanni Adami

The number needed to vaccinate (NNV) to prevent one case of influenza among healthy control patients was 71, compared with an NNV of 10 for patients taking the TNF inhibitor adalimumab (Humira), reported Giovanni Adami, MD, and colleagues at the University of Verona (Italy).

While TNF inhibitors “are known to increase the risk of infection by suppressing the activity of the immune system,” it has not been clear whether the response to vaccination is impaired in patients treated with a TNF inhibitor, Dr. Adami said.

Dr. Adami and colleagues reviewed data from 15,132 adult patients exposed to adalimumab in global rheumatoid arthritis clinical trials and 71,221 healthy controls from clinical trials of influenza vaccines. Overall, the rate of influenza infection was similarly reduced with vaccination in both groups. The rate in healthy individuals went from 2.3% for those unvaccinated to 0.9% for those vaccinated; for TNF inhibitor–treated patients, the rate was 14.4% for those unvaccinated versus 4.5% for those vaccinated.

“It is not surprising that the number needed to vaccinate is dramatically lower in patients treated with immunosuppressors, compared to healthy individuals,” Dr. Adami noted. “As a matter of fact, patients treated with such drugs are at higher risk of infections, namely they have a greater absolute risk of influenza. Nevertheless, [it] is quite surprising that the relative risk reduction is similar between TNF inhibitor–treated patients and healthy controls, meaning that the vaccination is efficacious in both the cohorts.”

The researchers also calculated the cost to prevent one case of influenza, using a cost of approximately 16.5 euro per vaccine. (Dr. Adami also cited an average U.S. cost of about $40/vaccine). Using this method, they estimated a cost for vaccination of 1,174 euro (roughly $1,340) to prevent one influenza infection in the general population, and a cost of about 165 euro (roughly $188) to vaccinate enough people treated with a TNF inhibitor to prevent one infection.

Dr. Adami advised clinicians to remember the low NNV for TNF inhibitor–treated patients with regard to influenza vaccination. “A direct disclosure of the NNV for these patients might help adherence to vaccinations,” he said.

Next steps for research should include extending the real-world effectiveness analysis to other medications and other diseases, such as zoster vaccination in patients treated with Janus kinase inhibitors, Dr. Adami said.

Dr. Adami had no financial conflicts to disclose. Several coauthors disclosed relationships with companies including Abiogen Pharma, Grünenthal, Amgen, Janssen-Cilag, Mundipharma, and Pfizer.

Mitchel L. Zoler contributed to this report.

SOURCE: Adami G et al. Ann Rheum Dis. Jun 2019;78(Suppl 2):192-3. Abstract OP0230, doi: 10.1136/annrheumdis-2019-eular.3088

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MADRID – Influenza vaccination is similarly effective for individuals taking a tumor necrosis factor (TNF) inhibitor and healthy controls, but the number needed to vaccinate to prevent one case of influenza for patients taking a TNF inhibitor is much lower, according to data from a study presented at the European Congress of Rheumatology.

Dr. Giovanni Adami, rheumatologist, University of Verona, Italy
Mitchel L. Zoler/MDedge News
Dr. Giovanni Adami

The number needed to vaccinate (NNV) to prevent one case of influenza among healthy control patients was 71, compared with an NNV of 10 for patients taking the TNF inhibitor adalimumab (Humira), reported Giovanni Adami, MD, and colleagues at the University of Verona (Italy).

While TNF inhibitors “are known to increase the risk of infection by suppressing the activity of the immune system,” it has not been clear whether the response to vaccination is impaired in patients treated with a TNF inhibitor, Dr. Adami said.

Dr. Adami and colleagues reviewed data from 15,132 adult patients exposed to adalimumab in global rheumatoid arthritis clinical trials and 71,221 healthy controls from clinical trials of influenza vaccines. Overall, the rate of influenza infection was similarly reduced with vaccination in both groups. The rate in healthy individuals went from 2.3% for those unvaccinated to 0.9% for those vaccinated; for TNF inhibitor–treated patients, the rate was 14.4% for those unvaccinated versus 4.5% for those vaccinated.

“It is not surprising that the number needed to vaccinate is dramatically lower in patients treated with immunosuppressors, compared to healthy individuals,” Dr. Adami noted. “As a matter of fact, patients treated with such drugs are at higher risk of infections, namely they have a greater absolute risk of influenza. Nevertheless, [it] is quite surprising that the relative risk reduction is similar between TNF inhibitor–treated patients and healthy controls, meaning that the vaccination is efficacious in both the cohorts.”

The researchers also calculated the cost to prevent one case of influenza, using a cost of approximately 16.5 euro per vaccine. (Dr. Adami also cited an average U.S. cost of about $40/vaccine). Using this method, they estimated a cost for vaccination of 1,174 euro (roughly $1,340) to prevent one influenza infection in the general population, and a cost of about 165 euro (roughly $188) to vaccinate enough people treated with a TNF inhibitor to prevent one infection.

Dr. Adami advised clinicians to remember the low NNV for TNF inhibitor–treated patients with regard to influenza vaccination. “A direct disclosure of the NNV for these patients might help adherence to vaccinations,” he said.

Next steps for research should include extending the real-world effectiveness analysis to other medications and other diseases, such as zoster vaccination in patients treated with Janus kinase inhibitors, Dr. Adami said.

Dr. Adami had no financial conflicts to disclose. Several coauthors disclosed relationships with companies including Abiogen Pharma, Grünenthal, Amgen, Janssen-Cilag, Mundipharma, and Pfizer.

Mitchel L. Zoler contributed to this report.

SOURCE: Adami G et al. Ann Rheum Dis. Jun 2019;78(Suppl 2):192-3. Abstract OP0230, doi: 10.1136/annrheumdis-2019-eular.3088

 

MADRID – Influenza vaccination is similarly effective for individuals taking a tumor necrosis factor (TNF) inhibitor and healthy controls, but the number needed to vaccinate to prevent one case of influenza for patients taking a TNF inhibitor is much lower, according to data from a study presented at the European Congress of Rheumatology.

Dr. Giovanni Adami, rheumatologist, University of Verona, Italy
Mitchel L. Zoler/MDedge News
Dr. Giovanni Adami

The number needed to vaccinate (NNV) to prevent one case of influenza among healthy control patients was 71, compared with an NNV of 10 for patients taking the TNF inhibitor adalimumab (Humira), reported Giovanni Adami, MD, and colleagues at the University of Verona (Italy).

While TNF inhibitors “are known to increase the risk of infection by suppressing the activity of the immune system,” it has not been clear whether the response to vaccination is impaired in patients treated with a TNF inhibitor, Dr. Adami said.

Dr. Adami and colleagues reviewed data from 15,132 adult patients exposed to adalimumab in global rheumatoid arthritis clinical trials and 71,221 healthy controls from clinical trials of influenza vaccines. Overall, the rate of influenza infection was similarly reduced with vaccination in both groups. The rate in healthy individuals went from 2.3% for those unvaccinated to 0.9% for those vaccinated; for TNF inhibitor–treated patients, the rate was 14.4% for those unvaccinated versus 4.5% for those vaccinated.

“It is not surprising that the number needed to vaccinate is dramatically lower in patients treated with immunosuppressors, compared to healthy individuals,” Dr. Adami noted. “As a matter of fact, patients treated with such drugs are at higher risk of infections, namely they have a greater absolute risk of influenza. Nevertheless, [it] is quite surprising that the relative risk reduction is similar between TNF inhibitor–treated patients and healthy controls, meaning that the vaccination is efficacious in both the cohorts.”

The researchers also calculated the cost to prevent one case of influenza, using a cost of approximately 16.5 euro per vaccine. (Dr. Adami also cited an average U.S. cost of about $40/vaccine). Using this method, they estimated a cost for vaccination of 1,174 euro (roughly $1,340) to prevent one influenza infection in the general population, and a cost of about 165 euro (roughly $188) to vaccinate enough people treated with a TNF inhibitor to prevent one infection.

Dr. Adami advised clinicians to remember the low NNV for TNF inhibitor–treated patients with regard to influenza vaccination. “A direct disclosure of the NNV for these patients might help adherence to vaccinations,” he said.

Next steps for research should include extending the real-world effectiveness analysis to other medications and other diseases, such as zoster vaccination in patients treated with Janus kinase inhibitors, Dr. Adami said.

Dr. Adami had no financial conflicts to disclose. Several coauthors disclosed relationships with companies including Abiogen Pharma, Grünenthal, Amgen, Janssen-Cilag, Mundipharma, and Pfizer.

Mitchel L. Zoler contributed to this report.

SOURCE: Adami G et al. Ann Rheum Dis. Jun 2019;78(Suppl 2):192-3. Abstract OP0230, doi: 10.1136/annrheumdis-2019-eular.3088

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Bridging the “Digital Divide”

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New VHA partnerships create a bigger bridge for veterans in rural communities to receive quality health care from the VA.

The “digital divide”: That is how the VA describes the situation of the 42% of veterans without reliable—or any—Internet access. The lack of access means they are effectively barred from participating in telehealth and other online services.

 With the goal of “digital inclusion,” the Veterans Health Administration (VHA) is partnering with a variety of nongovernmental businesses. VHA and T-Mobile, for instance, host the VA Video Connect application, which connects veterans to health care providers on a secure line on all devices with T-Mobile for free.

Walmart, Philips, and Veteran Service Organizations have set up remote clinics for veterans to access telehealth services closer to their home; with those partners, the VHA also lends Internet-connected iPads to veterans who do not have home computers.

Now, the VHA is working with Microsoft and Internet service providers to bring broadband access to rural areas with large populations of veterans.

The initiatives will not only improve access to health care, but also open other avenues. Dr. Kevin Galpin, executive director of VHA Telehealth Services, says, “We really want veterans to have the opportunities that come with being connected. There is lots of value in being able to maintain social relationships, conduct job searches online, and connect with VA. We know limited access is a problem and we’re exploring a multitude of options.”

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New VHA partnerships create a bigger bridge for veterans in rural communities to receive quality health care from the VA.
New VHA partnerships create a bigger bridge for veterans in rural communities to receive quality health care from the VA.

The “digital divide”: That is how the VA describes the situation of the 42% of veterans without reliable—or any—Internet access. The lack of access means they are effectively barred from participating in telehealth and other online services.

 With the goal of “digital inclusion,” the Veterans Health Administration (VHA) is partnering with a variety of nongovernmental businesses. VHA and T-Mobile, for instance, host the VA Video Connect application, which connects veterans to health care providers on a secure line on all devices with T-Mobile for free.

Walmart, Philips, and Veteran Service Organizations have set up remote clinics for veterans to access telehealth services closer to their home; with those partners, the VHA also lends Internet-connected iPads to veterans who do not have home computers.

Now, the VHA is working with Microsoft and Internet service providers to bring broadband access to rural areas with large populations of veterans.

The initiatives will not only improve access to health care, but also open other avenues. Dr. Kevin Galpin, executive director of VHA Telehealth Services, says, “We really want veterans to have the opportunities that come with being connected. There is lots of value in being able to maintain social relationships, conduct job searches online, and connect with VA. We know limited access is a problem and we’re exploring a multitude of options.”

The “digital divide”: That is how the VA describes the situation of the 42% of veterans without reliable—or any—Internet access. The lack of access means they are effectively barred from participating in telehealth and other online services.

 With the goal of “digital inclusion,” the Veterans Health Administration (VHA) is partnering with a variety of nongovernmental businesses. VHA and T-Mobile, for instance, host the VA Video Connect application, which connects veterans to health care providers on a secure line on all devices with T-Mobile for free.

Walmart, Philips, and Veteran Service Organizations have set up remote clinics for veterans to access telehealth services closer to their home; with those partners, the VHA also lends Internet-connected iPads to veterans who do not have home computers.

Now, the VHA is working with Microsoft and Internet service providers to bring broadband access to rural areas with large populations of veterans.

The initiatives will not only improve access to health care, but also open other avenues. Dr. Kevin Galpin, executive director of VHA Telehealth Services, says, “We really want veterans to have the opportunities that come with being connected. There is lots of value in being able to maintain social relationships, conduct job searches online, and connect with VA. We know limited access is a problem and we’re exploring a multitude of options.”

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Almost one-third of ED patients with gout are prescribed opioids

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Patients with gout who visit the emergency department are regularly prescribed opioids, based on a review of electronic medical records.

“In addition to regulatory changes, the burden of opioid prescription could be potentially reduced by creating prompts for providers in electronic record systems to avoid prescribing opioids in opioid-naive patients or using lower intensity and shorter duration of prescription,” wrote Deepan S. Dalal, MD, of Brown University, Providence, R.I., and coauthors. The study was published in Arthritis Care & Research.

To determine frequency, dose, and duration of opioid prescription at ED discharge, the researchers reviewed the records of 456 patients with acute gout who were discharged in Rhode Island between March 30, 2015, and Sept. 30, 2017. All data were gathered via electronic medical system records.

Of the 456 discharged patients, 129 (28.3%) were prescribed opioids; 102 (79%) were not on opioids at the time. A full prescription description was available for 119 of the 129 patients; 96 (81%) were prescribed oxycodone or oxycodone combinations. Hydrocodone was prescribed for 9 patients (8%) and tramadol was prescribed for 11 patients (9%).

The median duration of each prescription was 8 days (interquartile range, 5-14 days) and the average daily dose was 37.9 mg of morphine equivalent. Patients who were prescribed opioids tended to be younger and male. After multivariable analysis, diabetes, polyarticular gout attack, and prior opioid use were all associated with a more than 100% higher odds of receiving an opioid prescription.

The authors acknowledged their study’s limitations, including their inability to determine the physicians’ reasoning behind each prescription or the prescribing habits of each provider. In addition, they were only able to assess the prescriptions as being written and not the number of pills actually taken or not taken.

No conflicts of interest were reported.

SOURCE: Dalal DS et al. Arthritis Care Res. 2019 Jul 3. doi: 10.1002/acr.23928.

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Patients with gout who visit the emergency department are regularly prescribed opioids, based on a review of electronic medical records.

“In addition to regulatory changes, the burden of opioid prescription could be potentially reduced by creating prompts for providers in electronic record systems to avoid prescribing opioids in opioid-naive patients or using lower intensity and shorter duration of prescription,” wrote Deepan S. Dalal, MD, of Brown University, Providence, R.I., and coauthors. The study was published in Arthritis Care & Research.

To determine frequency, dose, and duration of opioid prescription at ED discharge, the researchers reviewed the records of 456 patients with acute gout who were discharged in Rhode Island between March 30, 2015, and Sept. 30, 2017. All data were gathered via electronic medical system records.

Of the 456 discharged patients, 129 (28.3%) were prescribed opioids; 102 (79%) were not on opioids at the time. A full prescription description was available for 119 of the 129 patients; 96 (81%) were prescribed oxycodone or oxycodone combinations. Hydrocodone was prescribed for 9 patients (8%) and tramadol was prescribed for 11 patients (9%).

The median duration of each prescription was 8 days (interquartile range, 5-14 days) and the average daily dose was 37.9 mg of morphine equivalent. Patients who were prescribed opioids tended to be younger and male. After multivariable analysis, diabetes, polyarticular gout attack, and prior opioid use were all associated with a more than 100% higher odds of receiving an opioid prescription.

The authors acknowledged their study’s limitations, including their inability to determine the physicians’ reasoning behind each prescription or the prescribing habits of each provider. In addition, they were only able to assess the prescriptions as being written and not the number of pills actually taken or not taken.

No conflicts of interest were reported.

SOURCE: Dalal DS et al. Arthritis Care Res. 2019 Jul 3. doi: 10.1002/acr.23928.

Patients with gout who visit the emergency department are regularly prescribed opioids, based on a review of electronic medical records.

“In addition to regulatory changes, the burden of opioid prescription could be potentially reduced by creating prompts for providers in electronic record systems to avoid prescribing opioids in opioid-naive patients or using lower intensity and shorter duration of prescription,” wrote Deepan S. Dalal, MD, of Brown University, Providence, R.I., and coauthors. The study was published in Arthritis Care & Research.

To determine frequency, dose, and duration of opioid prescription at ED discharge, the researchers reviewed the records of 456 patients with acute gout who were discharged in Rhode Island between March 30, 2015, and Sept. 30, 2017. All data were gathered via electronic medical system records.

Of the 456 discharged patients, 129 (28.3%) were prescribed opioids; 102 (79%) were not on opioids at the time. A full prescription description was available for 119 of the 129 patients; 96 (81%) were prescribed oxycodone or oxycodone combinations. Hydrocodone was prescribed for 9 patients (8%) and tramadol was prescribed for 11 patients (9%).

The median duration of each prescription was 8 days (interquartile range, 5-14 days) and the average daily dose was 37.9 mg of morphine equivalent. Patients who were prescribed opioids tended to be younger and male. After multivariable analysis, diabetes, polyarticular gout attack, and prior opioid use were all associated with a more than 100% higher odds of receiving an opioid prescription.

The authors acknowledged their study’s limitations, including their inability to determine the physicians’ reasoning behind each prescription or the prescribing habits of each provider. In addition, they were only able to assess the prescriptions as being written and not the number of pills actually taken or not taken.

No conflicts of interest were reported.

SOURCE: Dalal DS et al. Arthritis Care Res. 2019 Jul 3. doi: 10.1002/acr.23928.

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Key clinical point: Though there are other effective conventional treatments, opioids are often prescribed for patients who present to the ED with gout.

Major finding: After multivariable analysis, diabetes, polyarticular gout attack, and prior opioid use were all associated with a more than 100% higher odds of opioid prescription.

Study details: A retrospective cohort study of 456 patients with acute gout discharged from EDs in Rhode Island.

Disclosures: The authors reported no conflicts of interest.

Source: Dalal DS et al. Arthritis Care Res. 2019 Jul 3. doi: 10.1002/acr.23928.

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VIDEO: Did You Know? Psoriasis and quality of life

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Probiotics tied to reduced cognitive reactivity in mild, moderate depression

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The consumption of some probiotic supplements appears linked to a reduced susceptibility to depressive symptoms, preliminary results of a randomized trial of 71 participants show.

“Results from the current study provide further evidence that some probiotic mixtures can influence thinking and cognition,” reported Bahia Chahwan of the University of Technology Sydney in New South Wales, Australia, and associates. “Although probiotics did not appear to have had a direct effect on depressive symptoms, our results suggest that probiotics potentially act on cognitive processes contributing to depression.” The study was published in the Journal of Affective Disorders.

To conduct the study, the investigators recruited 71 adults over a 12-month period. A nondepressed control group consisting of 20 adults was recruited over 2 months. Across both groups, about 70% of the participants were women, 67% were white, 80% had no abdominal conditions, 78% did not smoke, and 92% did not consume alcohol above the daily recommended intake. The participants were randomly assigned to either the probiotic or placebo group. Members of both groups received instructions on how to consume their respective product, which was a 2-g freeze-dried powder mixture, twice a day over 8 weeks, and were scheduled for weekly monitoring visits.

Several pre- and postintervention measures of depression were compared using several scales, including the MINI International Neuropsychiatric Interview, the Depression Anxiety Stress Scale-21, and the Beck Anxiety Inventory.

Participants in both groups experienced a reduction in depressive symptoms during the trial period. “This is in line with the evidence suggesting that routines and engagement in planned activities [are] beneficial for reducing symptoms of depression, which forms the basis of activity scheduling as a component for [cognitive-behavioral therapy] for depression,” they wrote.

However, in contrast to the investigators’ hypotheses, participants in the probiotics group did not experience a greater reduction in depressive symptoms than did those on placebo. Instead, the differences between the groups were seen on a measure for depression called cognitive reactivity. Specifically, people with mild/moderate depression who took the probiotics reported lower psychological test scores on cognitive reactivity, compared with controls (45.00 vs. 53.78).

Additional research is needed to look at the impact of differences in gut microbiota strains on people with depressive symptoms, the researchers said. In the meantime, clinicians might do well to consider probiotics as an adjunctive intervention. “Probiotics may be a useful adjunct to potentiate the effects of therapies, such as CBT, which changes cognitive patterns.”

One of the authors, Saskia van Hemert, is an employee of Winclove Probiotics. The other authors reported having no conflicts of interest.

SOURCE: Chahwan B et al. J Affect Disord. 2019. doi: 10.1016/j.jad.2019.04.97.

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The consumption of some probiotic supplements appears linked to a reduced susceptibility to depressive symptoms, preliminary results of a randomized trial of 71 participants show.

“Results from the current study provide further evidence that some probiotic mixtures can influence thinking and cognition,” reported Bahia Chahwan of the University of Technology Sydney in New South Wales, Australia, and associates. “Although probiotics did not appear to have had a direct effect on depressive symptoms, our results suggest that probiotics potentially act on cognitive processes contributing to depression.” The study was published in the Journal of Affective Disorders.

To conduct the study, the investigators recruited 71 adults over a 12-month period. A nondepressed control group consisting of 20 adults was recruited over 2 months. Across both groups, about 70% of the participants were women, 67% were white, 80% had no abdominal conditions, 78% did not smoke, and 92% did not consume alcohol above the daily recommended intake. The participants were randomly assigned to either the probiotic or placebo group. Members of both groups received instructions on how to consume their respective product, which was a 2-g freeze-dried powder mixture, twice a day over 8 weeks, and were scheduled for weekly monitoring visits.

Several pre- and postintervention measures of depression were compared using several scales, including the MINI International Neuropsychiatric Interview, the Depression Anxiety Stress Scale-21, and the Beck Anxiety Inventory.

Participants in both groups experienced a reduction in depressive symptoms during the trial period. “This is in line with the evidence suggesting that routines and engagement in planned activities [are] beneficial for reducing symptoms of depression, which forms the basis of activity scheduling as a component for [cognitive-behavioral therapy] for depression,” they wrote.

However, in contrast to the investigators’ hypotheses, participants in the probiotics group did not experience a greater reduction in depressive symptoms than did those on placebo. Instead, the differences between the groups were seen on a measure for depression called cognitive reactivity. Specifically, people with mild/moderate depression who took the probiotics reported lower psychological test scores on cognitive reactivity, compared with controls (45.00 vs. 53.78).

Additional research is needed to look at the impact of differences in gut microbiota strains on people with depressive symptoms, the researchers said. In the meantime, clinicians might do well to consider probiotics as an adjunctive intervention. “Probiotics may be a useful adjunct to potentiate the effects of therapies, such as CBT, which changes cognitive patterns.”

One of the authors, Saskia van Hemert, is an employee of Winclove Probiotics. The other authors reported having no conflicts of interest.

SOURCE: Chahwan B et al. J Affect Disord. 2019. doi: 10.1016/j.jad.2019.04.97.

 

The consumption of some probiotic supplements appears linked to a reduced susceptibility to depressive symptoms, preliminary results of a randomized trial of 71 participants show.

“Results from the current study provide further evidence that some probiotic mixtures can influence thinking and cognition,” reported Bahia Chahwan of the University of Technology Sydney in New South Wales, Australia, and associates. “Although probiotics did not appear to have had a direct effect on depressive symptoms, our results suggest that probiotics potentially act on cognitive processes contributing to depression.” The study was published in the Journal of Affective Disorders.

To conduct the study, the investigators recruited 71 adults over a 12-month period. A nondepressed control group consisting of 20 adults was recruited over 2 months. Across both groups, about 70% of the participants were women, 67% were white, 80% had no abdominal conditions, 78% did not smoke, and 92% did not consume alcohol above the daily recommended intake. The participants were randomly assigned to either the probiotic or placebo group. Members of both groups received instructions on how to consume their respective product, which was a 2-g freeze-dried powder mixture, twice a day over 8 weeks, and were scheduled for weekly monitoring visits.

Several pre- and postintervention measures of depression were compared using several scales, including the MINI International Neuropsychiatric Interview, the Depression Anxiety Stress Scale-21, and the Beck Anxiety Inventory.

Participants in both groups experienced a reduction in depressive symptoms during the trial period. “This is in line with the evidence suggesting that routines and engagement in planned activities [are] beneficial for reducing symptoms of depression, which forms the basis of activity scheduling as a component for [cognitive-behavioral therapy] for depression,” they wrote.

However, in contrast to the investigators’ hypotheses, participants in the probiotics group did not experience a greater reduction in depressive symptoms than did those on placebo. Instead, the differences between the groups were seen on a measure for depression called cognitive reactivity. Specifically, people with mild/moderate depression who took the probiotics reported lower psychological test scores on cognitive reactivity, compared with controls (45.00 vs. 53.78).

Additional research is needed to look at the impact of differences in gut microbiota strains on people with depressive symptoms, the researchers said. In the meantime, clinicians might do well to consider probiotics as an adjunctive intervention. “Probiotics may be a useful adjunct to potentiate the effects of therapies, such as CBT, which changes cognitive patterns.”

One of the authors, Saskia van Hemert, is an employee of Winclove Probiotics. The other authors reported having no conflicts of interest.

SOURCE: Chahwan B et al. J Affect Disord. 2019. doi: 10.1016/j.jad.2019.04.97.

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