Participation in Work and Sport Following Reverse and Total Shoulder Arthroplasty

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Participation in Work and Sport Following Reverse and Total Shoulder Arthroplasty

ABSTRACT

Both anatomical total shoulder arthroplasty (TSA) and reverse shoulder arthroplasty (RSA) are routinely performed for patients who desire to continuously work or participate in sports. This study analyzes and compares the ability of patients to work and partake in sports following shoulder arthroplasty based on responses to clinical outcome surveys.

A retrospective review of the shoulder surgery repository was performed for all patients treated with TSA and RSA and who completed questions 9 and 10 on the activity patient self-evaluation portion of the American Shoulder and Elbow Surgeons (ASES) Assessment Form. Patients with a minimum of 1-year follow-up were included if a sport or work was identified. The analysis included 162 patients with TSA and 114 patients with RSA. Comparisons were made between TSA and RSA in terms of the specific ASES scores (rated 0-3) reported for ability to work and participate in sports and total ASES scores, and scores based on specific sports or line of work reported. Comparisons were also made between sports predominantly using shoulder function and those that do not.

TSA patients had a 27% higher ability to participate in sports (average specific ASES score: 2.5 vs 1.9, P < .001) than RSA patients and presented significantly higher scores for swimming and golf. Compared with RSA patients, TSA patients demonstrated more ability to participate in sports requiring shoulder function without difficulty, as 63% reported maximal scores (P = .003). Total shoulder arthroplasty patients also demonstrated a 21% higher ability to work than RSA patients (average specific ASES scores: 2.6 vs 2.1, P < .001), yielding significantly higher scores for housework and gardening.

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting better overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

End-stage shoulder arthritis has been successfully treated with anatomical total shoulder arthroplasty (TSA) with high rates of functional recovery.1 With the introduction of reverse shoulder arthroplasty (RSA), indications for TSA have expanded.2-6 With continuing expansion of surgical indications, a more diverse and potentially active patient population is now being treated. As patients exhibit increased awareness of health and wellness, they demonstrate significant interest in understanding their ability to work or participate in sports after surgery.7 Patients no longer focus on pain relief as the only goal of surgery. A recent study of patients aged 65 years and undergoing shoulder arthroplasty revealed that 64% of the patients listed the ability to return to sports as the main reason for undergoing surgery,8 highlighting the significance of sports play in a patient’s life. Prior to surgery, shoulder pathologies lead to impairment in function, range of motion, and pain,9 hindering a patient to participate in both work and sports. With the intervention yielding improvement to these areas6,9-13 with increased patient satisfaction,10,13 accurately tailoring patient expectations for participation in sports and work postoperatively becomes increasingly important.

Continue to: Although several studies...

 

 

Although several studies have demonstrated the ability of patients to return to sports following TSA,8,14-18 a limited number of studies discuss the return to sports following RSA.19-21 Despite known postoperative improvements, no clear consensus is reached as to which specific sports patients can return to and at what level of participation is to be expected. Surveyed members of the American Shoulder and Elbow Surgeons (ASES) universally favored full return to sports, except for contact sports for TSA patients, whereas other surgeons are more conservative to allow RSA patients to return to activities.22 To our knowledge, no other study has investigated the ability to work following RSA. Furthermore, no other study has used patient-reported outcomes to compare the quality of participation in sports or work between TSA and RSA patients following surgery. This study reports the ability of patients treated with TSA and RSA to work and participate in sports based on clinical outcome surveys. We hypothesize that TSA patients will be allowed to work and participate in sports with less difficulty than RSA patients.

MATERIALS AND METHODS

Following Institutional Review Board approval, a retrospective review was performed on all patients treated with TSA or RSA and who completed questions 9 and/or 10 (by score and named usual sport and/or work) on the activity patient self-evaluation portion of the ASES23 Assessment Form between 2007 to 2014; queries were made via the Shoulder Outcomes Repository. A minimum of 12-month follow-up was required, as functional recovery has been shown to plateau or nearly plateau by 12 months.11 Patients were excluded if <12 months of follow-up was available, if they failed to provide a written answer for questions 9 or 10 on the activity patient self-evaluation portion of the ASES Assessment Form, or if they required a revision shoulder arthroplasty. A single fellowship-trained shoulder and elbow surgeon performed all procedures via the same deltopectoral approach and prescribed identical postoperative rehabilitation for both TSA and RSA patients. The database query yielded 162 TSA and 114 RSA patients, for a total of 276 patients eligible for the study.

For all patients, the most recent follow-up ASES score was used. Comparisons were made between TSA and RSA for total ASES scores and response groups for usual sport (ASES question 9) and usual work (ASES question 10). The ASES questionnaire provides patients with 4 choices for each question based on the ability to perform each activity: 0, unable to do; 1, very difficult; 2, somewhat difficult; and 3, not difficult. The questionnaire also allows the patients to identify their usual work and sports. If patients noted >1 sport or work activity, they were included within multiple subgroups. Patients were further compared by age and gender.

Work was subdivided to include retired, housework, desk jobs, prolonged standing, gardening/yard work, jobs requiring lifting, carpenter/construction, cook/food preparation, and creative jobs (Table 1). 

Sports were subdivided to include golf, swimming, walking, gym exercises, racquet sports, group fitness, sedentary sports, fishing and target shooting, adventure sports, team sports, bowling, biking, hiking/jogging/rollerblading, and motorcycle riding (Table 2). 
Sports were further subdivided into those which predominately use shoulder function and those requiring minimal shoulder function (Table 3).

Statistical analysis was performed with SPSS Version 21 (IBM). Unpaired t tests were used to determine differences between groups. A P-value of <.05 was deemed significant.

Continue to: A total of 276 patients...

 

 

RESULTS

A total of 276 patients that met the inclusion criteria were eligible for the study, with 162 having undergone TSA and 114 with RSA. Overall average follow-up totaled 29 months (range, 12-91 months). RSA patients (average age, 75 years old; range, 46-88 years) were significantly older than TSA patients (average age, 69 years old; range, 32-89 years; P = .001). Significantly more women were treated with TSA (52% TSA; 48% RSA; P = .012), whereas significantly more men were treated with TSA (67% TSA; 33% RSA, P = .012). Total ASES scores were significantly higher for TSA patients than RSA patients in work (P = .012) (Table 4) but not in sports (P = .063) (Table 5) categories.

 

SPORTS

A total of 186 patients, comprising of 71 RSA and 115 TSA individuals, responded to question 9 of the ASES questionnaire (Table 5). Among usually reported sports, golf (25%), swimming (17%), and walking (18%) were the most commonly cited. RSA patients indicating a sport were significantly older than TSA patients (74 years vs 69 years, P < .001). TSA patients reported a 27% higher difference in overall ability to participate in sports, with an average ASES sport-specific score of 2.5 compared with the 1.9 for RSA patients (P < .001).

Among specific sports, TSA patients reported significantly higher scores for swimming (2.6 vs 1.8, P = .007) and golf (2.5 vs 1.8, P = .050). However, no significant differences were observed for walking, gym exercises, and racquet sports (Table 5). Among sport subsets, RSA patients were significantly older for golf (77 years vs 70 years, P = .006) and bowling (80 years vs 68 years, P = .005). Five TSA patients reported biking as their sport, whereas no RSA patient reported such activity. Within each subset of sports, no significant differences were noted in average ASES total scores.

TSA patients demonstrated a more significant ability to perform usual sports that involve shoulder function without difficulty (score of 3). In shoulder dominant sports, a total of 63% of TSA patients reported a score of 3 compared with the 39% of RSA patients (P = .003). RSA patients more often reported an inability to perform shoulder specific sports, as proven by 20% of RSA patients reporting a score of 0 compared with 4% of TSA patients (P < .001) (Table 6).

WORK

A total of 265 patients, including 106 RSA and 159 TSA patients, responded to question 10 of the ASES questionnaire. Among usually reported work, retirement (43%), housework (27%), and desk jobs (18%) were the most commonly cited. RSA patients denoting a work were significantly older than TSA patients (75 years vs 69 years, P < .001). Patients with TSA presented a 21% higher difference in the overall ability to work, featuring an average ASES work-specific score of 2.6 compared with the 2.1 for RSA patients (P < .001) (Table 4).

Continue to: Among specific work activities...

 

 

Among specific work activities, TSA patients reported significantly higher scores for housework (2.7 vs 2; 34% difference; P = .001) and gardening (2.8 vs 1.7; 65% difference; P = .009) in comparison with RSA patients. However, no significant differences were observed for other work activities, including retirement, desk job, prolonged standing, creative jobs, lifting jobs, or construction (Table 4). Among the work subgroups, RSA patients were older than TSA patients for the retired group (77 years vs 72 years; P < .001) and gardening (81 years vs 68 years; P = .002).

DISCUSSION

The ability to participate in sports and work is a common goal for shoulder arthroplasty patients. However, the ability at which participation occurs has not been examined. This study illustrates not only the ability to engage in usual work or sport, but provides some insights into patient-reported quality of participation. Overall, TSA patients featured 27% higher sport-specific ASES scores and 21% higher work-specific ASES scores than RSA patients, confirming our hypothesis that TSA patients can participate in work or sports with less difficulty in general. This study is the first to stratify the difficulty of participating in sports in general and in specific sports identified by patients. Although statistical analysis was performed for individual sports and work reported, the use of small cohorts possibly affected the ability to detect significant differences. The data presented in this study can thus be used as descriptive evidence of what a patient may expect to be able to do following surgery, helping to define patient expectations prior to electing to undergo shoulder arthroplasty.

Among specific sports identified by patients, a few significant differences were observed between RSA and TSA patients. However, ASES-specific scores almost universally favored TSA. Of the sport subgroups, swimming and golf showed significant differences. For swimming, this difference was fairly significant, as TSA patients demonstrated a 49% higher score than their RSA counterparts, but without differences in age or total ASES score (Table 5). Alteration in shoulder mechanics after RSA may be used to explain the difficulty in returning to swimming, as additional time may be needed to adapt to new mechanics.24 McCarty and colleagues8 demonstrated that 90% of patients following TSA fully resumed participation in swimming within 6 months of surgery, and further stated that repetitive motions of swimming caused no effects on short-term outcomes. No similar analysis of swimming has been reported for RSA patients. Based upon our findings, the average RSA patient can experience some difficulties when returning to swimming after surgery (average specific ASES score, 1.8).

Jensen and Rockwood16 were among the first to demonstrate successful return to golf of 24 patients who had undergone either TSA or hemiarthroplasty (HA), showing a 5-stroke improvement in their game. A recent study investigating patient-reported activity in patients aged 75 years and undergoing RSA showed that 23% of patients returned to high-level activity sports, such as golf, motorcycle riding, or free weights.19 All patients who participated in golf before surgery resumed playing following surgery; however, golf was listed among the top activities that patients wanted to participate in but could not for any reason.19 Our data suggest that golfers with TSA will face less difficulty returning to sports compared with their RSA counterparts (average specific ASES score, 2.5 vs 1.8, who might find golf somewhat difficult.

Although no study has provided a clear consensus as to which activities are safe to perform following shoulder arthroplasty, experts have suggested that activities that impart high loads on the glenohumeral joint should be avoided.15 Among TSA patients, McCarty and colleagues8 reported high rates of return for swimmers, golfers, and tennis players; however, relatively low rates were reported for weight lifting, bowling, and softball (20%). Within our study group, golf, swimming, and walking were listed among the most popular sports performed. Although weight lifting, bowling, and softball were less commonly identified as usual sports within our study, patients treated with TSA demonstrated more ease to participate than RSA patients. This result was observed with ASES-specific scores noted for weight lifting and gym exercises (TSA, 2.5; RSA, 2.3) and team sports, such as softball (TSA, 2; RSA, 1.3). However, for bowling, RSA patients showed a trend toward more ability (RSA, 2.7; TSA, 1.7).

Continue to: Among specific work activities...

 

 

Successful return to sports that involve shoulder function, such as golf and swimming, has been demonstrated for TSA.8,14,16,17 However, studies have reported that return to these sports can be difficult for RSA patients.20 Fink and colleagues19 reported that following RSA, 48.7% of patients returned to moderate-intensity sports, such as swimming and golf. Consistent with these findings, in our study, TSA patients demonstrated a significantly higher ability to participate in their usual sports without difficulty (ASES-specific score of 3). This observation may relate to lower ultimate achievements in range of motion and strength in patients treated with RSA, when compared with TSA patients,24,25 and the generalized practice of utilizing RSA for lower-demand patients (RSA patients in this study were older).

Overall, participation in work was 21% easier for TSA patients than RSA patients. Although the majority of our patients cited retirement as their primary work, which is consistent with what one would expect with the mean age of this study’s cohorts (RSA, 75 years; TSA, 69 years), housework and gardening were the only specifically identified forms of work that demonstrated significant differences between RSA and TSA patients. A few reports in the literature documented the ability to return to work after shoulder arthroplasty. In a recent report on 13 workers’ compensation patients treated with TSA, only 1 patient returned to the same job, and 54% did not return to work.26 In a study comparing 14 workers’ compensation to a matched group of controls with all members treated with RSA, the workers’ compensation group yielded a lower return-to-work rate (14.2%) than the controls (41.7%).27 In a large study of 154 TSA patients, 14% returned to work, but specific jobs were not described in this analysis.14

The results of this study suggest that more TSA patients successfully participate in low-demand activities, such as gardening or housework. Zarkadas and colleagues18 reported that 65% of TSA and 47% of HA patients successfully returned to gardening compared with 42% of RSA patients observed in a continuation study.20 This study showed that TSA patients yielded a 65% difference in ability to work in gardening and 34% difference in ability to perform housework compared with RSA patients. Based on these findings, TSA patients can expect to experience no difficulty in performing housework or gardening, whereas RSA patients may find these tasks difficult to a certain degree.

The main limitation of this study is the reporting bias that results from survey-based studies. Possibly, more people engage in specific sports or work than what were reported. This type of study also features an inherent selection bias, as patients with highly and physically demanding jobs or usual sports were less likely to have been offered either TSA or RSA. An additional important limitation is the relatively small cohorts within sport and work subgroups; the small cohorts probably underpowered the statistical results of this study and made these findings valuable mostly as descriptive observations. Larger studies focusing on each subgroup will further clarify the ability of shoulder arthroplasty to perform individual sports or work. Further studies evaluating preoperative to postoperative sports- and work-specific ASES scores would provide notable insights into the functional improvements observed within each sport or work following surgery. The relatively large study population of 276 patients strengthened the findings, which relate to the overall ability to participate in sports and work for TSA and RSA patients. Finally, the evaluated TSA and RSA patients possibly represent different groups (significant difference in age and gender) with different underlying pathologies and potentially different demands and expectations. However, comparisons among these groups of patients bear importance in defining patient expectations related to surgery. Still, the ability to participate in sport or work possibly relates more to the limitations of the implant used than patient pathology. This possibility warrants further investigation.

CONCLUSION

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting easier overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

References

1. Fehringer EV, Kopjar B, Boorman RS, Churchill RS, Smith KL, Matsen FA 3rd. Characterizing the functional improvement after total shoulder arthroplasty for osteoarthritis. J Bone Joint Surg Am. 2002;84-A(8):1349-1353.

2. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055. doi:10.2106/JBJS.L.01637.

3. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. Survivorship analysis of eighty replacements followed for five to ten years. J Bone Joint Surg Am. 2006;88(8):1742-1747.

4. Levy JC, Virani N, Pupello D, Frankle M. Use of the reverse shoulder prosthesis for the treatment of failed hemiarthroplasty in patients with glenohumeral arthritis and rotator cuff deficiency. J Bone Joint Surg Br. 2007;89(2):189-195.

5. Patel DN, Young B, Onyekwelu I, Zuckerman JD, Kwon YW. Reverse total shoulder arthroplasty for failed shoulder arthroplasty. J Shoulder Elbow Surg. 2012;21(11):1478-1483. doi:10.1016/j.jse.2011.11.004.

6. Sebastia-Forcada E, Cebrian-Gomez R, Lizaur-Utrilla A, Gil-Guillen V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426. doi:10.1016/j.jse.2014.06.035.

7. Henn RF 3rd, Ghomrawi H, Rutledge JR, Mazumdar M, Mancuso CA, Marx RG. Preoperative patient expectations of total shoulder arthroplasty. J Bone Joint Surg Am. 2011;93(22):2110-2115. doi:10.2106/JBJS.J.01114.

8. McCarty EC, Marx RG, Maerz D, Altchek D, Warren RF. Sports participation after shoulder replacement surgery. Am J Sports Med. 2008;36(8):1577-1581. doi:10.1177/0363546508317126.

9. Puskas B, Harreld K, Clark R, Downes K, Virani NA, Frankle M. Isometric strength, range of motion, and impairment before and after total and reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(7):869-876. doi:10.1016/j.jse.2012.09.004.

10. Deshmukh AV, Koris M, Zurakowski D, Thornhill TS. Total shoulder arthroplasty: long-term survivorship, functional outcome, and quality of life. J Shoulder Elbow Surg. 2005;14(5):471-479.

11. Levy JC, Everding NG, Gil CC Jr., Stephens S, Giveans MR. Speed of recovery after shoulder arthroplasty: a comparison of reverse and anatomic total shoulder arthroplasty. J Shoulder Elbow Surg. 2014;23(12):1872-1881. doi:10.1016/j.jse.2014.04.014.

12. Nolan BM, Ankerson E, Wiater JM. Reverse total shoulder arthroplasty improves function in cuff tear arthropathy. Clin Orthop Relat Res. 2011;469(9):2476-2482. doi:10.1007/s11999-010-1683-z.

13. Norris TR, Iannotti JP. Functional outcome after shoulder arthroplasty for primary osteoarthritis: a multicenter study. J Shoulder Elbow Surg. 2002;11(2):130-135.

14. Bulhoff M, Sattler P, Bruckner T, Loew M, Zeifang F, Raiss P. Do patients return to sports and work after total shoulder replacement surgery? Am J Sports Med. 2015;43(2):423-427. doi:10.1177/0363546514557940.

15. Healy WL, Iorio R, Lemos MJ. Athletic activity after joint replacement. Am J Sports Med. 2001;29(3):377-388.

16. Jensen KL, Rockwood CA Jr. Shoulder arthroplasty in recreational golfers. J Shoulder Elbow Surg. 1998;7(4):362-367.

17. Schumann K, Flury MP, Schwyzer HK, Simmen BR, Drerup S, Goldhahn J. Sports activity after anatomical total shoulder arthroplasty. Am J Sports Med. 2010;38(10):2097-2105. doi:10.1177/0363546510371368.

18. Zarkadas PC, Throckmorton TQ, Dahm DL, Sperling J, Schleck CD, Cofield R. Patient reported activities after shoulder replacement: total and hemiarthroplasty. J Shoulder Elbow Surg. 2011;20(2):273-280. doi:10.1016/j.jse.2010.06.007.

19. Fink Barnes LA, Grantham WJ, Meadows MC, Bigliani LU, Levine WN, Ahmad CS. Sports activity after reverse total shoulder arthroplasty with minimum 2-year follow-up. Am J Orthop. 2015;44(2):68-72.

20. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469. doi:10.1016/j.jse.2011.11.012.

21. Simovitch RW, Gerard BK, Brees JA, Fullick R, Kearse JC. Outcomes of reverse total shoulder arthroplasty in a senior athletic population. J Shoulder Elbow Surg. 2015;24(9):1481-1485. doi:10.1016/j.jse.2015.03.011.

22. Golant A, Christoforou D, Zuckerman JD, Kwon YW. Return to sports after shoulder arthroplasty: a survey of surgeons' preferences. J Shoulder Elbow Surg. 2012;21(4):554-560. doi:10.1016/j.jse.2010.11.021.

23. Michener LA, McClure PW, Sennett BJ. American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form, patient self-report section: reliability, validity, and responsiveness. J Shoulder Elbow Surg. 2002;11(6):587-594.

24. Alta TD, de Toledo JM, Veeger HE, Janssen TW, Willems WJ. The active and passive kinematic difference between primary reverse and total shoulder prostheses. J Shoulder Elbow Surg. 2014;23(9):1395-1402. doi:10.1016/j.jse.2014.01.040.

25. Alta TD, Veeger DH, de Toledo JM, Janssen TW, Willems WJ. Isokinetic strength differences between patients with primary reverse and total shoulder prostheses: muscle strength quantified with a dynamometer. Clin Biomech (Bristol, Avon). 2014;29(9):965-970. doi:10.1016/j.clinbiomech.2014.08.018.

26. Jawa A, Dasti UR, Fasulo SM, Vaickus MH, Curtis AS, Miller SL. Anatomic total shoulder arthroplasty for patients receiving workers' compensation. J Shoulder Elbow Surg. 2015;24(11):1694-1697. doi:10.1016/j.jse.2015.04.017.

27. Morris BJ, Haigler RE, Laughlin MS, Elkousy HA, Gartsman GM, Edwards TB. Workers' compensation claims and outcomes after reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2015;24(3):453-459. doi:10.1016/j.jse.2014.07.009.

Author and Disclosure Information

Authors’ Disclosure Statement: Dr. Levy reports that he is a paid consultant of Globus Medical and DJO Orthopaedics; receives research grant funding from DJO Orthopaedics, Zimmer Biomet, Wright Medical, Rotation Medical, and OrthoSpace; and receives royalties from Innomed and DJO Orthopaedics. The other authors report no actual or potential conflict of interest in relation to this article.

Dr. Kurowicki is an Orthopaedic Research Fellow, Department of Orthopaedic Surgery, Seton Hall University, School of Health and Medical Sciences, South Orange, New Jersey. Dr. Rosas is a Physician Scientist, Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina. Dr. Law is an Orthopaedic Research Fellow, Department of Orthopaedic Research, Holy Cross Orthopaedic Research Institute, Fort Lauderdale, Florida. Dr. Levy is Chief of Orthopaedic Surgery, Department of Orthopaedic Surgery, Division of Shoulder and Elbow Surgery, Holy Cross Hospital, Fort Lauderdale, Florida.

Address correspondence to: Jennifer Kurowicki, MD, Seton Hall University, School of Health and Medical Sciences, 400 S Orange Ave, South Orange, NJ 07079 (email, jkurowicki@gmail.com).

Am J Orthop. 2018;47(5). Copyright Frontline Medical Communications Inc. 2018. All rights reserved.

. Participation in Work and Sport Following Reverse and Total Shoulder Arthroplasty. Am J Orthop.

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Author and Disclosure Information

Authors’ Disclosure Statement: Dr. Levy reports that he is a paid consultant of Globus Medical and DJO Orthopaedics; receives research grant funding from DJO Orthopaedics, Zimmer Biomet, Wright Medical, Rotation Medical, and OrthoSpace; and receives royalties from Innomed and DJO Orthopaedics. The other authors report no actual or potential conflict of interest in relation to this article.

Dr. Kurowicki is an Orthopaedic Research Fellow, Department of Orthopaedic Surgery, Seton Hall University, School of Health and Medical Sciences, South Orange, New Jersey. Dr. Rosas is a Physician Scientist, Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina. Dr. Law is an Orthopaedic Research Fellow, Department of Orthopaedic Research, Holy Cross Orthopaedic Research Institute, Fort Lauderdale, Florida. Dr. Levy is Chief of Orthopaedic Surgery, Department of Orthopaedic Surgery, Division of Shoulder and Elbow Surgery, Holy Cross Hospital, Fort Lauderdale, Florida.

Address correspondence to: Jennifer Kurowicki, MD, Seton Hall University, School of Health and Medical Sciences, 400 S Orange Ave, South Orange, NJ 07079 (email, jkurowicki@gmail.com).

Am J Orthop. 2018;47(5). Copyright Frontline Medical Communications Inc. 2018. All rights reserved.

. Participation in Work and Sport Following Reverse and Total Shoulder Arthroplasty. Am J Orthop.

Author and Disclosure Information

Authors’ Disclosure Statement: Dr. Levy reports that he is a paid consultant of Globus Medical and DJO Orthopaedics; receives research grant funding from DJO Orthopaedics, Zimmer Biomet, Wright Medical, Rotation Medical, and OrthoSpace; and receives royalties from Innomed and DJO Orthopaedics. The other authors report no actual or potential conflict of interest in relation to this article.

Dr. Kurowicki is an Orthopaedic Research Fellow, Department of Orthopaedic Surgery, Seton Hall University, School of Health and Medical Sciences, South Orange, New Jersey. Dr. Rosas is a Physician Scientist, Department of Orthopaedic Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina. Dr. Law is an Orthopaedic Research Fellow, Department of Orthopaedic Research, Holy Cross Orthopaedic Research Institute, Fort Lauderdale, Florida. Dr. Levy is Chief of Orthopaedic Surgery, Department of Orthopaedic Surgery, Division of Shoulder and Elbow Surgery, Holy Cross Hospital, Fort Lauderdale, Florida.

Address correspondence to: Jennifer Kurowicki, MD, Seton Hall University, School of Health and Medical Sciences, 400 S Orange Ave, South Orange, NJ 07079 (email, jkurowicki@gmail.com).

Am J Orthop. 2018;47(5). Copyright Frontline Medical Communications Inc. 2018. All rights reserved.

. Participation in Work and Sport Following Reverse and Total Shoulder Arthroplasty. Am J Orthop.

ABSTRACT

Both anatomical total shoulder arthroplasty (TSA) and reverse shoulder arthroplasty (RSA) are routinely performed for patients who desire to continuously work or participate in sports. This study analyzes and compares the ability of patients to work and partake in sports following shoulder arthroplasty based on responses to clinical outcome surveys.

A retrospective review of the shoulder surgery repository was performed for all patients treated with TSA and RSA and who completed questions 9 and 10 on the activity patient self-evaluation portion of the American Shoulder and Elbow Surgeons (ASES) Assessment Form. Patients with a minimum of 1-year follow-up were included if a sport or work was identified. The analysis included 162 patients with TSA and 114 patients with RSA. Comparisons were made between TSA and RSA in terms of the specific ASES scores (rated 0-3) reported for ability to work and participate in sports and total ASES scores, and scores based on specific sports or line of work reported. Comparisons were also made between sports predominantly using shoulder function and those that do not.

TSA patients had a 27% higher ability to participate in sports (average specific ASES score: 2.5 vs 1.9, P < .001) than RSA patients and presented significantly higher scores for swimming and golf. Compared with RSA patients, TSA patients demonstrated more ability to participate in sports requiring shoulder function without difficulty, as 63% reported maximal scores (P = .003). Total shoulder arthroplasty patients also demonstrated a 21% higher ability to work than RSA patients (average specific ASES scores: 2.6 vs 2.1, P < .001), yielding significantly higher scores for housework and gardening.

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting better overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

End-stage shoulder arthritis has been successfully treated with anatomical total shoulder arthroplasty (TSA) with high rates of functional recovery.1 With the introduction of reverse shoulder arthroplasty (RSA), indications for TSA have expanded.2-6 With continuing expansion of surgical indications, a more diverse and potentially active patient population is now being treated. As patients exhibit increased awareness of health and wellness, they demonstrate significant interest in understanding their ability to work or participate in sports after surgery.7 Patients no longer focus on pain relief as the only goal of surgery. A recent study of patients aged 65 years and undergoing shoulder arthroplasty revealed that 64% of the patients listed the ability to return to sports as the main reason for undergoing surgery,8 highlighting the significance of sports play in a patient’s life. Prior to surgery, shoulder pathologies lead to impairment in function, range of motion, and pain,9 hindering a patient to participate in both work and sports. With the intervention yielding improvement to these areas6,9-13 with increased patient satisfaction,10,13 accurately tailoring patient expectations for participation in sports and work postoperatively becomes increasingly important.

Continue to: Although several studies...

 

 

Although several studies have demonstrated the ability of patients to return to sports following TSA,8,14-18 a limited number of studies discuss the return to sports following RSA.19-21 Despite known postoperative improvements, no clear consensus is reached as to which specific sports patients can return to and at what level of participation is to be expected. Surveyed members of the American Shoulder and Elbow Surgeons (ASES) universally favored full return to sports, except for contact sports for TSA patients, whereas other surgeons are more conservative to allow RSA patients to return to activities.22 To our knowledge, no other study has investigated the ability to work following RSA. Furthermore, no other study has used patient-reported outcomes to compare the quality of participation in sports or work between TSA and RSA patients following surgery. This study reports the ability of patients treated with TSA and RSA to work and participate in sports based on clinical outcome surveys. We hypothesize that TSA patients will be allowed to work and participate in sports with less difficulty than RSA patients.

MATERIALS AND METHODS

Following Institutional Review Board approval, a retrospective review was performed on all patients treated with TSA or RSA and who completed questions 9 and/or 10 (by score and named usual sport and/or work) on the activity patient self-evaluation portion of the ASES23 Assessment Form between 2007 to 2014; queries were made via the Shoulder Outcomes Repository. A minimum of 12-month follow-up was required, as functional recovery has been shown to plateau or nearly plateau by 12 months.11 Patients were excluded if <12 months of follow-up was available, if they failed to provide a written answer for questions 9 or 10 on the activity patient self-evaluation portion of the ASES Assessment Form, or if they required a revision shoulder arthroplasty. A single fellowship-trained shoulder and elbow surgeon performed all procedures via the same deltopectoral approach and prescribed identical postoperative rehabilitation for both TSA and RSA patients. The database query yielded 162 TSA and 114 RSA patients, for a total of 276 patients eligible for the study.

For all patients, the most recent follow-up ASES score was used. Comparisons were made between TSA and RSA for total ASES scores and response groups for usual sport (ASES question 9) and usual work (ASES question 10). The ASES questionnaire provides patients with 4 choices for each question based on the ability to perform each activity: 0, unable to do; 1, very difficult; 2, somewhat difficult; and 3, not difficult. The questionnaire also allows the patients to identify their usual work and sports. If patients noted >1 sport or work activity, they were included within multiple subgroups. Patients were further compared by age and gender.

Work was subdivided to include retired, housework, desk jobs, prolonged standing, gardening/yard work, jobs requiring lifting, carpenter/construction, cook/food preparation, and creative jobs (Table 1). 

Sports were subdivided to include golf, swimming, walking, gym exercises, racquet sports, group fitness, sedentary sports, fishing and target shooting, adventure sports, team sports, bowling, biking, hiking/jogging/rollerblading, and motorcycle riding (Table 2). 
Sports were further subdivided into those which predominately use shoulder function and those requiring minimal shoulder function (Table 3).

Statistical analysis was performed with SPSS Version 21 (IBM). Unpaired t tests were used to determine differences between groups. A P-value of <.05 was deemed significant.

Continue to: A total of 276 patients...

 

 

RESULTS

A total of 276 patients that met the inclusion criteria were eligible for the study, with 162 having undergone TSA and 114 with RSA. Overall average follow-up totaled 29 months (range, 12-91 months). RSA patients (average age, 75 years old; range, 46-88 years) were significantly older than TSA patients (average age, 69 years old; range, 32-89 years; P = .001). Significantly more women were treated with TSA (52% TSA; 48% RSA; P = .012), whereas significantly more men were treated with TSA (67% TSA; 33% RSA, P = .012). Total ASES scores were significantly higher for TSA patients than RSA patients in work (P = .012) (Table 4) but not in sports (P = .063) (Table 5) categories.

 

SPORTS

A total of 186 patients, comprising of 71 RSA and 115 TSA individuals, responded to question 9 of the ASES questionnaire (Table 5). Among usually reported sports, golf (25%), swimming (17%), and walking (18%) were the most commonly cited. RSA patients indicating a sport were significantly older than TSA patients (74 years vs 69 years, P < .001). TSA patients reported a 27% higher difference in overall ability to participate in sports, with an average ASES sport-specific score of 2.5 compared with the 1.9 for RSA patients (P < .001).

Among specific sports, TSA patients reported significantly higher scores for swimming (2.6 vs 1.8, P = .007) and golf (2.5 vs 1.8, P = .050). However, no significant differences were observed for walking, gym exercises, and racquet sports (Table 5). Among sport subsets, RSA patients were significantly older for golf (77 years vs 70 years, P = .006) and bowling (80 years vs 68 years, P = .005). Five TSA patients reported biking as their sport, whereas no RSA patient reported such activity. Within each subset of sports, no significant differences were noted in average ASES total scores.

TSA patients demonstrated a more significant ability to perform usual sports that involve shoulder function without difficulty (score of 3). In shoulder dominant sports, a total of 63% of TSA patients reported a score of 3 compared with the 39% of RSA patients (P = .003). RSA patients more often reported an inability to perform shoulder specific sports, as proven by 20% of RSA patients reporting a score of 0 compared with 4% of TSA patients (P < .001) (Table 6).

WORK

A total of 265 patients, including 106 RSA and 159 TSA patients, responded to question 10 of the ASES questionnaire. Among usually reported work, retirement (43%), housework (27%), and desk jobs (18%) were the most commonly cited. RSA patients denoting a work were significantly older than TSA patients (75 years vs 69 years, P < .001). Patients with TSA presented a 21% higher difference in the overall ability to work, featuring an average ASES work-specific score of 2.6 compared with the 2.1 for RSA patients (P < .001) (Table 4).

Continue to: Among specific work activities...

 

 

Among specific work activities, TSA patients reported significantly higher scores for housework (2.7 vs 2; 34% difference; P = .001) and gardening (2.8 vs 1.7; 65% difference; P = .009) in comparison with RSA patients. However, no significant differences were observed for other work activities, including retirement, desk job, prolonged standing, creative jobs, lifting jobs, or construction (Table 4). Among the work subgroups, RSA patients were older than TSA patients for the retired group (77 years vs 72 years; P < .001) and gardening (81 years vs 68 years; P = .002).

DISCUSSION

The ability to participate in sports and work is a common goal for shoulder arthroplasty patients. However, the ability at which participation occurs has not been examined. This study illustrates not only the ability to engage in usual work or sport, but provides some insights into patient-reported quality of participation. Overall, TSA patients featured 27% higher sport-specific ASES scores and 21% higher work-specific ASES scores than RSA patients, confirming our hypothesis that TSA patients can participate in work or sports with less difficulty in general. This study is the first to stratify the difficulty of participating in sports in general and in specific sports identified by patients. Although statistical analysis was performed for individual sports and work reported, the use of small cohorts possibly affected the ability to detect significant differences. The data presented in this study can thus be used as descriptive evidence of what a patient may expect to be able to do following surgery, helping to define patient expectations prior to electing to undergo shoulder arthroplasty.

Among specific sports identified by patients, a few significant differences were observed between RSA and TSA patients. However, ASES-specific scores almost universally favored TSA. Of the sport subgroups, swimming and golf showed significant differences. For swimming, this difference was fairly significant, as TSA patients demonstrated a 49% higher score than their RSA counterparts, but without differences in age or total ASES score (Table 5). Alteration in shoulder mechanics after RSA may be used to explain the difficulty in returning to swimming, as additional time may be needed to adapt to new mechanics.24 McCarty and colleagues8 demonstrated that 90% of patients following TSA fully resumed participation in swimming within 6 months of surgery, and further stated that repetitive motions of swimming caused no effects on short-term outcomes. No similar analysis of swimming has been reported for RSA patients. Based upon our findings, the average RSA patient can experience some difficulties when returning to swimming after surgery (average specific ASES score, 1.8).

Jensen and Rockwood16 were among the first to demonstrate successful return to golf of 24 patients who had undergone either TSA or hemiarthroplasty (HA), showing a 5-stroke improvement in their game. A recent study investigating patient-reported activity in patients aged 75 years and undergoing RSA showed that 23% of patients returned to high-level activity sports, such as golf, motorcycle riding, or free weights.19 All patients who participated in golf before surgery resumed playing following surgery; however, golf was listed among the top activities that patients wanted to participate in but could not for any reason.19 Our data suggest that golfers with TSA will face less difficulty returning to sports compared with their RSA counterparts (average specific ASES score, 2.5 vs 1.8, who might find golf somewhat difficult.

Although no study has provided a clear consensus as to which activities are safe to perform following shoulder arthroplasty, experts have suggested that activities that impart high loads on the glenohumeral joint should be avoided.15 Among TSA patients, McCarty and colleagues8 reported high rates of return for swimmers, golfers, and tennis players; however, relatively low rates were reported for weight lifting, bowling, and softball (20%). Within our study group, golf, swimming, and walking were listed among the most popular sports performed. Although weight lifting, bowling, and softball were less commonly identified as usual sports within our study, patients treated with TSA demonstrated more ease to participate than RSA patients. This result was observed with ASES-specific scores noted for weight lifting and gym exercises (TSA, 2.5; RSA, 2.3) and team sports, such as softball (TSA, 2; RSA, 1.3). However, for bowling, RSA patients showed a trend toward more ability (RSA, 2.7; TSA, 1.7).

Continue to: Among specific work activities...

 

 

Successful return to sports that involve shoulder function, such as golf and swimming, has been demonstrated for TSA.8,14,16,17 However, studies have reported that return to these sports can be difficult for RSA patients.20 Fink and colleagues19 reported that following RSA, 48.7% of patients returned to moderate-intensity sports, such as swimming and golf. Consistent with these findings, in our study, TSA patients demonstrated a significantly higher ability to participate in their usual sports without difficulty (ASES-specific score of 3). This observation may relate to lower ultimate achievements in range of motion and strength in patients treated with RSA, when compared with TSA patients,24,25 and the generalized practice of utilizing RSA for lower-demand patients (RSA patients in this study were older).

Overall, participation in work was 21% easier for TSA patients than RSA patients. Although the majority of our patients cited retirement as their primary work, which is consistent with what one would expect with the mean age of this study’s cohorts (RSA, 75 years; TSA, 69 years), housework and gardening were the only specifically identified forms of work that demonstrated significant differences between RSA and TSA patients. A few reports in the literature documented the ability to return to work after shoulder arthroplasty. In a recent report on 13 workers’ compensation patients treated with TSA, only 1 patient returned to the same job, and 54% did not return to work.26 In a study comparing 14 workers’ compensation to a matched group of controls with all members treated with RSA, the workers’ compensation group yielded a lower return-to-work rate (14.2%) than the controls (41.7%).27 In a large study of 154 TSA patients, 14% returned to work, but specific jobs were not described in this analysis.14

The results of this study suggest that more TSA patients successfully participate in low-demand activities, such as gardening or housework. Zarkadas and colleagues18 reported that 65% of TSA and 47% of HA patients successfully returned to gardening compared with 42% of RSA patients observed in a continuation study.20 This study showed that TSA patients yielded a 65% difference in ability to work in gardening and 34% difference in ability to perform housework compared with RSA patients. Based on these findings, TSA patients can expect to experience no difficulty in performing housework or gardening, whereas RSA patients may find these tasks difficult to a certain degree.

The main limitation of this study is the reporting bias that results from survey-based studies. Possibly, more people engage in specific sports or work than what were reported. This type of study also features an inherent selection bias, as patients with highly and physically demanding jobs or usual sports were less likely to have been offered either TSA or RSA. An additional important limitation is the relatively small cohorts within sport and work subgroups; the small cohorts probably underpowered the statistical results of this study and made these findings valuable mostly as descriptive observations. Larger studies focusing on each subgroup will further clarify the ability of shoulder arthroplasty to perform individual sports or work. Further studies evaluating preoperative to postoperative sports- and work-specific ASES scores would provide notable insights into the functional improvements observed within each sport or work following surgery. The relatively large study population of 276 patients strengthened the findings, which relate to the overall ability to participate in sports and work for TSA and RSA patients. Finally, the evaluated TSA and RSA patients possibly represent different groups (significant difference in age and gender) with different underlying pathologies and potentially different demands and expectations. However, comparisons among these groups of patients bear importance in defining patient expectations related to surgery. Still, the ability to participate in sport or work possibly relates more to the limitations of the implant used than patient pathology. This possibility warrants further investigation.

CONCLUSION

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting easier overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

ABSTRACT

Both anatomical total shoulder arthroplasty (TSA) and reverse shoulder arthroplasty (RSA) are routinely performed for patients who desire to continuously work or participate in sports. This study analyzes and compares the ability of patients to work and partake in sports following shoulder arthroplasty based on responses to clinical outcome surveys.

A retrospective review of the shoulder surgery repository was performed for all patients treated with TSA and RSA and who completed questions 9 and 10 on the activity patient self-evaluation portion of the American Shoulder and Elbow Surgeons (ASES) Assessment Form. Patients with a minimum of 1-year follow-up were included if a sport or work was identified. The analysis included 162 patients with TSA and 114 patients with RSA. Comparisons were made between TSA and RSA in terms of the specific ASES scores (rated 0-3) reported for ability to work and participate in sports and total ASES scores, and scores based on specific sports or line of work reported. Comparisons were also made between sports predominantly using shoulder function and those that do not.

TSA patients had a 27% higher ability to participate in sports (average specific ASES score: 2.5 vs 1.9, P < .001) than RSA patients and presented significantly higher scores for swimming and golf. Compared with RSA patients, TSA patients demonstrated more ability to participate in sports requiring shoulder function without difficulty, as 63% reported maximal scores (P = .003). Total shoulder arthroplasty patients also demonstrated a 21% higher ability to work than RSA patients (average specific ASES scores: 2.6 vs 2.1, P < .001), yielding significantly higher scores for housework and gardening.

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting better overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

End-stage shoulder arthritis has been successfully treated with anatomical total shoulder arthroplasty (TSA) with high rates of functional recovery.1 With the introduction of reverse shoulder arthroplasty (RSA), indications for TSA have expanded.2-6 With continuing expansion of surgical indications, a more diverse and potentially active patient population is now being treated. As patients exhibit increased awareness of health and wellness, they demonstrate significant interest in understanding their ability to work or participate in sports after surgery.7 Patients no longer focus on pain relief as the only goal of surgery. A recent study of patients aged 65 years and undergoing shoulder arthroplasty revealed that 64% of the patients listed the ability to return to sports as the main reason for undergoing surgery,8 highlighting the significance of sports play in a patient’s life. Prior to surgery, shoulder pathologies lead to impairment in function, range of motion, and pain,9 hindering a patient to participate in both work and sports. With the intervention yielding improvement to these areas6,9-13 with increased patient satisfaction,10,13 accurately tailoring patient expectations for participation in sports and work postoperatively becomes increasingly important.

Continue to: Although several studies...

 

 

Although several studies have demonstrated the ability of patients to return to sports following TSA,8,14-18 a limited number of studies discuss the return to sports following RSA.19-21 Despite known postoperative improvements, no clear consensus is reached as to which specific sports patients can return to and at what level of participation is to be expected. Surveyed members of the American Shoulder and Elbow Surgeons (ASES) universally favored full return to sports, except for contact sports for TSA patients, whereas other surgeons are more conservative to allow RSA patients to return to activities.22 To our knowledge, no other study has investigated the ability to work following RSA. Furthermore, no other study has used patient-reported outcomes to compare the quality of participation in sports or work between TSA and RSA patients following surgery. This study reports the ability of patients treated with TSA and RSA to work and participate in sports based on clinical outcome surveys. We hypothesize that TSA patients will be allowed to work and participate in sports with less difficulty than RSA patients.

MATERIALS AND METHODS

Following Institutional Review Board approval, a retrospective review was performed on all patients treated with TSA or RSA and who completed questions 9 and/or 10 (by score and named usual sport and/or work) on the activity patient self-evaluation portion of the ASES23 Assessment Form between 2007 to 2014; queries were made via the Shoulder Outcomes Repository. A minimum of 12-month follow-up was required, as functional recovery has been shown to plateau or nearly plateau by 12 months.11 Patients were excluded if <12 months of follow-up was available, if they failed to provide a written answer for questions 9 or 10 on the activity patient self-evaluation portion of the ASES Assessment Form, or if they required a revision shoulder arthroplasty. A single fellowship-trained shoulder and elbow surgeon performed all procedures via the same deltopectoral approach and prescribed identical postoperative rehabilitation for both TSA and RSA patients. The database query yielded 162 TSA and 114 RSA patients, for a total of 276 patients eligible for the study.

For all patients, the most recent follow-up ASES score was used. Comparisons were made between TSA and RSA for total ASES scores and response groups for usual sport (ASES question 9) and usual work (ASES question 10). The ASES questionnaire provides patients with 4 choices for each question based on the ability to perform each activity: 0, unable to do; 1, very difficult; 2, somewhat difficult; and 3, not difficult. The questionnaire also allows the patients to identify their usual work and sports. If patients noted >1 sport or work activity, they were included within multiple subgroups. Patients were further compared by age and gender.

Work was subdivided to include retired, housework, desk jobs, prolonged standing, gardening/yard work, jobs requiring lifting, carpenter/construction, cook/food preparation, and creative jobs (Table 1). 

Sports were subdivided to include golf, swimming, walking, gym exercises, racquet sports, group fitness, sedentary sports, fishing and target shooting, adventure sports, team sports, bowling, biking, hiking/jogging/rollerblading, and motorcycle riding (Table 2). 
Sports were further subdivided into those which predominately use shoulder function and those requiring minimal shoulder function (Table 3).

Statistical analysis was performed with SPSS Version 21 (IBM). Unpaired t tests were used to determine differences between groups. A P-value of <.05 was deemed significant.

Continue to: A total of 276 patients...

 

 

RESULTS

A total of 276 patients that met the inclusion criteria were eligible for the study, with 162 having undergone TSA and 114 with RSA. Overall average follow-up totaled 29 months (range, 12-91 months). RSA patients (average age, 75 years old; range, 46-88 years) were significantly older than TSA patients (average age, 69 years old; range, 32-89 years; P = .001). Significantly more women were treated with TSA (52% TSA; 48% RSA; P = .012), whereas significantly more men were treated with TSA (67% TSA; 33% RSA, P = .012). Total ASES scores were significantly higher for TSA patients than RSA patients in work (P = .012) (Table 4) but not in sports (P = .063) (Table 5) categories.

 

SPORTS

A total of 186 patients, comprising of 71 RSA and 115 TSA individuals, responded to question 9 of the ASES questionnaire (Table 5). Among usually reported sports, golf (25%), swimming (17%), and walking (18%) were the most commonly cited. RSA patients indicating a sport were significantly older than TSA patients (74 years vs 69 years, P < .001). TSA patients reported a 27% higher difference in overall ability to participate in sports, with an average ASES sport-specific score of 2.5 compared with the 1.9 for RSA patients (P < .001).

Among specific sports, TSA patients reported significantly higher scores for swimming (2.6 vs 1.8, P = .007) and golf (2.5 vs 1.8, P = .050). However, no significant differences were observed for walking, gym exercises, and racquet sports (Table 5). Among sport subsets, RSA patients were significantly older for golf (77 years vs 70 years, P = .006) and bowling (80 years vs 68 years, P = .005). Five TSA patients reported biking as their sport, whereas no RSA patient reported such activity. Within each subset of sports, no significant differences were noted in average ASES total scores.

TSA patients demonstrated a more significant ability to perform usual sports that involve shoulder function without difficulty (score of 3). In shoulder dominant sports, a total of 63% of TSA patients reported a score of 3 compared with the 39% of RSA patients (P = .003). RSA patients more often reported an inability to perform shoulder specific sports, as proven by 20% of RSA patients reporting a score of 0 compared with 4% of TSA patients (P < .001) (Table 6).

WORK

A total of 265 patients, including 106 RSA and 159 TSA patients, responded to question 10 of the ASES questionnaire. Among usually reported work, retirement (43%), housework (27%), and desk jobs (18%) were the most commonly cited. RSA patients denoting a work were significantly older than TSA patients (75 years vs 69 years, P < .001). Patients with TSA presented a 21% higher difference in the overall ability to work, featuring an average ASES work-specific score of 2.6 compared with the 2.1 for RSA patients (P < .001) (Table 4).

Continue to: Among specific work activities...

 

 

Among specific work activities, TSA patients reported significantly higher scores for housework (2.7 vs 2; 34% difference; P = .001) and gardening (2.8 vs 1.7; 65% difference; P = .009) in comparison with RSA patients. However, no significant differences were observed for other work activities, including retirement, desk job, prolonged standing, creative jobs, lifting jobs, or construction (Table 4). Among the work subgroups, RSA patients were older than TSA patients for the retired group (77 years vs 72 years; P < .001) and gardening (81 years vs 68 years; P = .002).

DISCUSSION

The ability to participate in sports and work is a common goal for shoulder arthroplasty patients. However, the ability at which participation occurs has not been examined. This study illustrates not only the ability to engage in usual work or sport, but provides some insights into patient-reported quality of participation. Overall, TSA patients featured 27% higher sport-specific ASES scores and 21% higher work-specific ASES scores than RSA patients, confirming our hypothesis that TSA patients can participate in work or sports with less difficulty in general. This study is the first to stratify the difficulty of participating in sports in general and in specific sports identified by patients. Although statistical analysis was performed for individual sports and work reported, the use of small cohorts possibly affected the ability to detect significant differences. The data presented in this study can thus be used as descriptive evidence of what a patient may expect to be able to do following surgery, helping to define patient expectations prior to electing to undergo shoulder arthroplasty.

Among specific sports identified by patients, a few significant differences were observed between RSA and TSA patients. However, ASES-specific scores almost universally favored TSA. Of the sport subgroups, swimming and golf showed significant differences. For swimming, this difference was fairly significant, as TSA patients demonstrated a 49% higher score than their RSA counterparts, but without differences in age or total ASES score (Table 5). Alteration in shoulder mechanics after RSA may be used to explain the difficulty in returning to swimming, as additional time may be needed to adapt to new mechanics.24 McCarty and colleagues8 demonstrated that 90% of patients following TSA fully resumed participation in swimming within 6 months of surgery, and further stated that repetitive motions of swimming caused no effects on short-term outcomes. No similar analysis of swimming has been reported for RSA patients. Based upon our findings, the average RSA patient can experience some difficulties when returning to swimming after surgery (average specific ASES score, 1.8).

Jensen and Rockwood16 were among the first to demonstrate successful return to golf of 24 patients who had undergone either TSA or hemiarthroplasty (HA), showing a 5-stroke improvement in their game. A recent study investigating patient-reported activity in patients aged 75 years and undergoing RSA showed that 23% of patients returned to high-level activity sports, such as golf, motorcycle riding, or free weights.19 All patients who participated in golf before surgery resumed playing following surgery; however, golf was listed among the top activities that patients wanted to participate in but could not for any reason.19 Our data suggest that golfers with TSA will face less difficulty returning to sports compared with their RSA counterparts (average specific ASES score, 2.5 vs 1.8, who might find golf somewhat difficult.

Although no study has provided a clear consensus as to which activities are safe to perform following shoulder arthroplasty, experts have suggested that activities that impart high loads on the glenohumeral joint should be avoided.15 Among TSA patients, McCarty and colleagues8 reported high rates of return for swimmers, golfers, and tennis players; however, relatively low rates were reported for weight lifting, bowling, and softball (20%). Within our study group, golf, swimming, and walking were listed among the most popular sports performed. Although weight lifting, bowling, and softball were less commonly identified as usual sports within our study, patients treated with TSA demonstrated more ease to participate than RSA patients. This result was observed with ASES-specific scores noted for weight lifting and gym exercises (TSA, 2.5; RSA, 2.3) and team sports, such as softball (TSA, 2; RSA, 1.3). However, for bowling, RSA patients showed a trend toward more ability (RSA, 2.7; TSA, 1.7).

Continue to: Among specific work activities...

 

 

Successful return to sports that involve shoulder function, such as golf and swimming, has been demonstrated for TSA.8,14,16,17 However, studies have reported that return to these sports can be difficult for RSA patients.20 Fink and colleagues19 reported that following RSA, 48.7% of patients returned to moderate-intensity sports, such as swimming and golf. Consistent with these findings, in our study, TSA patients demonstrated a significantly higher ability to participate in their usual sports without difficulty (ASES-specific score of 3). This observation may relate to lower ultimate achievements in range of motion and strength in patients treated with RSA, when compared with TSA patients,24,25 and the generalized practice of utilizing RSA for lower-demand patients (RSA patients in this study were older).

Overall, participation in work was 21% easier for TSA patients than RSA patients. Although the majority of our patients cited retirement as their primary work, which is consistent with what one would expect with the mean age of this study’s cohorts (RSA, 75 years; TSA, 69 years), housework and gardening were the only specifically identified forms of work that demonstrated significant differences between RSA and TSA patients. A few reports in the literature documented the ability to return to work after shoulder arthroplasty. In a recent report on 13 workers’ compensation patients treated with TSA, only 1 patient returned to the same job, and 54% did not return to work.26 In a study comparing 14 workers’ compensation to a matched group of controls with all members treated with RSA, the workers’ compensation group yielded a lower return-to-work rate (14.2%) than the controls (41.7%).27 In a large study of 154 TSA patients, 14% returned to work, but specific jobs were not described in this analysis.14

The results of this study suggest that more TSA patients successfully participate in low-demand activities, such as gardening or housework. Zarkadas and colleagues18 reported that 65% of TSA and 47% of HA patients successfully returned to gardening compared with 42% of RSA patients observed in a continuation study.20 This study showed that TSA patients yielded a 65% difference in ability to work in gardening and 34% difference in ability to perform housework compared with RSA patients. Based on these findings, TSA patients can expect to experience no difficulty in performing housework or gardening, whereas RSA patients may find these tasks difficult to a certain degree.

The main limitation of this study is the reporting bias that results from survey-based studies. Possibly, more people engage in specific sports or work than what were reported. This type of study also features an inherent selection bias, as patients with highly and physically demanding jobs or usual sports were less likely to have been offered either TSA or RSA. An additional important limitation is the relatively small cohorts within sport and work subgroups; the small cohorts probably underpowered the statistical results of this study and made these findings valuable mostly as descriptive observations. Larger studies focusing on each subgroup will further clarify the ability of shoulder arthroplasty to perform individual sports or work. Further studies evaluating preoperative to postoperative sports- and work-specific ASES scores would provide notable insights into the functional improvements observed within each sport or work following surgery. The relatively large study population of 276 patients strengthened the findings, which relate to the overall ability to participate in sports and work for TSA and RSA patients. Finally, the evaluated TSA and RSA patients possibly represent different groups (significant difference in age and gender) with different underlying pathologies and potentially different demands and expectations. However, comparisons among these groups of patients bear importance in defining patient expectations related to surgery. Still, the ability to participate in sport or work possibly relates more to the limitations of the implant used than patient pathology. This possibility warrants further investigation.

CONCLUSION

Both TSA and RSA allow for participation in work and sports, with TSA patients reporting easier overall ability to participate. For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.

References

1. Fehringer EV, Kopjar B, Boorman RS, Churchill RS, Smith KL, Matsen FA 3rd. Characterizing the functional improvement after total shoulder arthroplasty for osteoarthritis. J Bone Joint Surg Am. 2002;84-A(8):1349-1353.

2. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055. doi:10.2106/JBJS.L.01637.

3. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. Survivorship analysis of eighty replacements followed for five to ten years. J Bone Joint Surg Am. 2006;88(8):1742-1747.

4. Levy JC, Virani N, Pupello D, Frankle M. Use of the reverse shoulder prosthesis for the treatment of failed hemiarthroplasty in patients with glenohumeral arthritis and rotator cuff deficiency. J Bone Joint Surg Br. 2007;89(2):189-195.

5. Patel DN, Young B, Onyekwelu I, Zuckerman JD, Kwon YW. Reverse total shoulder arthroplasty for failed shoulder arthroplasty. J Shoulder Elbow Surg. 2012;21(11):1478-1483. doi:10.1016/j.jse.2011.11.004.

6. Sebastia-Forcada E, Cebrian-Gomez R, Lizaur-Utrilla A, Gil-Guillen V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426. doi:10.1016/j.jse.2014.06.035.

7. Henn RF 3rd, Ghomrawi H, Rutledge JR, Mazumdar M, Mancuso CA, Marx RG. Preoperative patient expectations of total shoulder arthroplasty. J Bone Joint Surg Am. 2011;93(22):2110-2115. doi:10.2106/JBJS.J.01114.

8. McCarty EC, Marx RG, Maerz D, Altchek D, Warren RF. Sports participation after shoulder replacement surgery. Am J Sports Med. 2008;36(8):1577-1581. doi:10.1177/0363546508317126.

9. Puskas B, Harreld K, Clark R, Downes K, Virani NA, Frankle M. Isometric strength, range of motion, and impairment before and after total and reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(7):869-876. doi:10.1016/j.jse.2012.09.004.

10. Deshmukh AV, Koris M, Zurakowski D, Thornhill TS. Total shoulder arthroplasty: long-term survivorship, functional outcome, and quality of life. J Shoulder Elbow Surg. 2005;14(5):471-479.

11. Levy JC, Everding NG, Gil CC Jr., Stephens S, Giveans MR. Speed of recovery after shoulder arthroplasty: a comparison of reverse and anatomic total shoulder arthroplasty. J Shoulder Elbow Surg. 2014;23(12):1872-1881. doi:10.1016/j.jse.2014.04.014.

12. Nolan BM, Ankerson E, Wiater JM. Reverse total shoulder arthroplasty improves function in cuff tear arthropathy. Clin Orthop Relat Res. 2011;469(9):2476-2482. doi:10.1007/s11999-010-1683-z.

13. Norris TR, Iannotti JP. Functional outcome after shoulder arthroplasty for primary osteoarthritis: a multicenter study. J Shoulder Elbow Surg. 2002;11(2):130-135.

14. Bulhoff M, Sattler P, Bruckner T, Loew M, Zeifang F, Raiss P. Do patients return to sports and work after total shoulder replacement surgery? Am J Sports Med. 2015;43(2):423-427. doi:10.1177/0363546514557940.

15. Healy WL, Iorio R, Lemos MJ. Athletic activity after joint replacement. Am J Sports Med. 2001;29(3):377-388.

16. Jensen KL, Rockwood CA Jr. Shoulder arthroplasty in recreational golfers. J Shoulder Elbow Surg. 1998;7(4):362-367.

17. Schumann K, Flury MP, Schwyzer HK, Simmen BR, Drerup S, Goldhahn J. Sports activity after anatomical total shoulder arthroplasty. Am J Sports Med. 2010;38(10):2097-2105. doi:10.1177/0363546510371368.

18. Zarkadas PC, Throckmorton TQ, Dahm DL, Sperling J, Schleck CD, Cofield R. Patient reported activities after shoulder replacement: total and hemiarthroplasty. J Shoulder Elbow Surg. 2011;20(2):273-280. doi:10.1016/j.jse.2010.06.007.

19. Fink Barnes LA, Grantham WJ, Meadows MC, Bigliani LU, Levine WN, Ahmad CS. Sports activity after reverse total shoulder arthroplasty with minimum 2-year follow-up. Am J Orthop. 2015;44(2):68-72.

20. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469. doi:10.1016/j.jse.2011.11.012.

21. Simovitch RW, Gerard BK, Brees JA, Fullick R, Kearse JC. Outcomes of reverse total shoulder arthroplasty in a senior athletic population. J Shoulder Elbow Surg. 2015;24(9):1481-1485. doi:10.1016/j.jse.2015.03.011.

22. Golant A, Christoforou D, Zuckerman JD, Kwon YW. Return to sports after shoulder arthroplasty: a survey of surgeons' preferences. J Shoulder Elbow Surg. 2012;21(4):554-560. doi:10.1016/j.jse.2010.11.021.

23. Michener LA, McClure PW, Sennett BJ. American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form, patient self-report section: reliability, validity, and responsiveness. J Shoulder Elbow Surg. 2002;11(6):587-594.

24. Alta TD, de Toledo JM, Veeger HE, Janssen TW, Willems WJ. The active and passive kinematic difference between primary reverse and total shoulder prostheses. J Shoulder Elbow Surg. 2014;23(9):1395-1402. doi:10.1016/j.jse.2014.01.040.

25. Alta TD, Veeger DH, de Toledo JM, Janssen TW, Willems WJ. Isokinetic strength differences between patients with primary reverse and total shoulder prostheses: muscle strength quantified with a dynamometer. Clin Biomech (Bristol, Avon). 2014;29(9):965-970. doi:10.1016/j.clinbiomech.2014.08.018.

26. Jawa A, Dasti UR, Fasulo SM, Vaickus MH, Curtis AS, Miller SL. Anatomic total shoulder arthroplasty for patients receiving workers' compensation. J Shoulder Elbow Surg. 2015;24(11):1694-1697. doi:10.1016/j.jse.2015.04.017.

27. Morris BJ, Haigler RE, Laughlin MS, Elkousy HA, Gartsman GM, Edwards TB. Workers' compensation claims and outcomes after reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2015;24(3):453-459. doi:10.1016/j.jse.2014.07.009.

References

1. Fehringer EV, Kopjar B, Boorman RS, Churchill RS, Smith KL, Matsen FA 3rd. Characterizing the functional improvement after total shoulder arthroplasty for osteoarthritis. J Bone Joint Surg Am. 2002;84-A(8):1349-1353.

2. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055. doi:10.2106/JBJS.L.01637.

3. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. Survivorship analysis of eighty replacements followed for five to ten years. J Bone Joint Surg Am. 2006;88(8):1742-1747.

4. Levy JC, Virani N, Pupello D, Frankle M. Use of the reverse shoulder prosthesis for the treatment of failed hemiarthroplasty in patients with glenohumeral arthritis and rotator cuff deficiency. J Bone Joint Surg Br. 2007;89(2):189-195.

5. Patel DN, Young B, Onyekwelu I, Zuckerman JD, Kwon YW. Reverse total shoulder arthroplasty for failed shoulder arthroplasty. J Shoulder Elbow Surg. 2012;21(11):1478-1483. doi:10.1016/j.jse.2011.11.004.

6. Sebastia-Forcada E, Cebrian-Gomez R, Lizaur-Utrilla A, Gil-Guillen V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426. doi:10.1016/j.jse.2014.06.035.

7. Henn RF 3rd, Ghomrawi H, Rutledge JR, Mazumdar M, Mancuso CA, Marx RG. Preoperative patient expectations of total shoulder arthroplasty. J Bone Joint Surg Am. 2011;93(22):2110-2115. doi:10.2106/JBJS.J.01114.

8. McCarty EC, Marx RG, Maerz D, Altchek D, Warren RF. Sports participation after shoulder replacement surgery. Am J Sports Med. 2008;36(8):1577-1581. doi:10.1177/0363546508317126.

9. Puskas B, Harreld K, Clark R, Downes K, Virani NA, Frankle M. Isometric strength, range of motion, and impairment before and after total and reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(7):869-876. doi:10.1016/j.jse.2012.09.004.

10. Deshmukh AV, Koris M, Zurakowski D, Thornhill TS. Total shoulder arthroplasty: long-term survivorship, functional outcome, and quality of life. J Shoulder Elbow Surg. 2005;14(5):471-479.

11. Levy JC, Everding NG, Gil CC Jr., Stephens S, Giveans MR. Speed of recovery after shoulder arthroplasty: a comparison of reverse and anatomic total shoulder arthroplasty. J Shoulder Elbow Surg. 2014;23(12):1872-1881. doi:10.1016/j.jse.2014.04.014.

12. Nolan BM, Ankerson E, Wiater JM. Reverse total shoulder arthroplasty improves function in cuff tear arthropathy. Clin Orthop Relat Res. 2011;469(9):2476-2482. doi:10.1007/s11999-010-1683-z.

13. Norris TR, Iannotti JP. Functional outcome after shoulder arthroplasty for primary osteoarthritis: a multicenter study. J Shoulder Elbow Surg. 2002;11(2):130-135.

14. Bulhoff M, Sattler P, Bruckner T, Loew M, Zeifang F, Raiss P. Do patients return to sports and work after total shoulder replacement surgery? Am J Sports Med. 2015;43(2):423-427. doi:10.1177/0363546514557940.

15. Healy WL, Iorio R, Lemos MJ. Athletic activity after joint replacement. Am J Sports Med. 2001;29(3):377-388.

16. Jensen KL, Rockwood CA Jr. Shoulder arthroplasty in recreational golfers. J Shoulder Elbow Surg. 1998;7(4):362-367.

17. Schumann K, Flury MP, Schwyzer HK, Simmen BR, Drerup S, Goldhahn J. Sports activity after anatomical total shoulder arthroplasty. Am J Sports Med. 2010;38(10):2097-2105. doi:10.1177/0363546510371368.

18. Zarkadas PC, Throckmorton TQ, Dahm DL, Sperling J, Schleck CD, Cofield R. Patient reported activities after shoulder replacement: total and hemiarthroplasty. J Shoulder Elbow Surg. 2011;20(2):273-280. doi:10.1016/j.jse.2010.06.007.

19. Fink Barnes LA, Grantham WJ, Meadows MC, Bigliani LU, Levine WN, Ahmad CS. Sports activity after reverse total shoulder arthroplasty with minimum 2-year follow-up. Am J Orthop. 2015;44(2):68-72.

20. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469. doi:10.1016/j.jse.2011.11.012.

21. Simovitch RW, Gerard BK, Brees JA, Fullick R, Kearse JC. Outcomes of reverse total shoulder arthroplasty in a senior athletic population. J Shoulder Elbow Surg. 2015;24(9):1481-1485. doi:10.1016/j.jse.2015.03.011.

22. Golant A, Christoforou D, Zuckerman JD, Kwon YW. Return to sports after shoulder arthroplasty: a survey of surgeons' preferences. J Shoulder Elbow Surg. 2012;21(4):554-560. doi:10.1016/j.jse.2010.11.021.

23. Michener LA, McClure PW, Sennett BJ. American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form, patient self-report section: reliability, validity, and responsiveness. J Shoulder Elbow Surg. 2002;11(6):587-594.

24. Alta TD, de Toledo JM, Veeger HE, Janssen TW, Willems WJ. The active and passive kinematic difference between primary reverse and total shoulder prostheses. J Shoulder Elbow Surg. 2014;23(9):1395-1402. doi:10.1016/j.jse.2014.01.040.

25. Alta TD, Veeger DH, de Toledo JM, Janssen TW, Willems WJ. Isokinetic strength differences between patients with primary reverse and total shoulder prostheses: muscle strength quantified with a dynamometer. Clin Biomech (Bristol, Avon). 2014;29(9):965-970. doi:10.1016/j.clinbiomech.2014.08.018.

26. Jawa A, Dasti UR, Fasulo SM, Vaickus MH, Curtis AS, Miller SL. Anatomic total shoulder arthroplasty for patients receiving workers' compensation. J Shoulder Elbow Surg. 2015;24(11):1694-1697. doi:10.1016/j.jse.2015.04.017.

27. Morris BJ, Haigler RE, Laughlin MS, Elkousy HA, Gartsman GM, Edwards TB. Workers' compensation claims and outcomes after reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2015;24(3):453-459. doi:10.1016/j.jse.2014.07.009.

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  • Both anatomic (TSA) and reverse shoulder arthroplasty (RSA) allow for the participation in work and sports.
  • TSA patients report easier overall ability to participate in sports, specifically golf and swimming.
  • For sports involving shoulder function, TSA patients more commonly report maximal ability to participate than RSA patients.
  • TSA patients report easier overall ability to return to work-related activities, specifically housework and gardening.
  • TSA patients featured 27% higher sport-specific ASES scores and 21% higher work-specific ASES scores than RSA patients.
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Systematic Review of Novel Synovial Fluid Markers and Polymerase Chain Reaction in the Diagnosis of Prosthetic Joint Infection

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Systematic Review of Novel Synovial Fluid Markers and Polymerase Chain Reaction in the Diagnosis of Prosthetic Joint Infection

Take-Home Points

  • Novel synovial markers and PCR have the potential to improve the detection of PJIs.
  • 10Difficult-to-detect infections of prosthetic joints pose a diagnostic problem to surgeons and can lead to suboptimal outcomes.
  • AD is a highly sensitive and specific synovial fluid marker for detecting PJIs.
  • AD has shown promising results in detecting low virulence organisms.
  • Studies are needed to determine how to best incorporate novel synovial markers and PCR to current diagnostic criteria in order to improve diagnostic accuracy.

Approximately 7 million Americans are living with a hip or knee replacement.1 According to projections, primary hip arthroplasties will increase by 174% and knee arthroplasties by 673% by 2030. Revision arthroplasties are projected to increase by 137% for hips and 601% for knees during the same time period.2 Infection and aseptic loosening are the most common causes of implant failure.3 The literature shows that infection is the most common cause of failure within 2 years after surgery and that aseptic loosening is the most common cause for late revision.3

Recent studies suggest that prosthetic joint infection (PJI) may be underreported because of difficulty making a diagnosis and that cases of aseptic loosening may in fact be attributable to infections with low-virulence organisms.2,3 These findings have led to new efforts to develop uniform criteria for diagnosing PJIs. In 2011, the Musculoskeletal Infection Society (MSIS) offered a new definition for PJI diagnosis, based on clinical and laboratory criteria, to increase the accuracy of PJI diagnosis.4 The MSIS committee acknowledged that PJI may be present even if these criteria are not met, particularly in the case of low-virulence organisms, as patients may not present with clinical signs of infection and may have normal inflammatory markers and joint aspirates. Reports of PJI cases misdiagnosed as aseptic loosening suggest that current screening and diagnostic tools are not sensitive enough to detect all infections and that PJI is likely underdiagnosed.

According to MSIS criteria, the diagnosis of PJI can be made when there is a sinus tract communicating with the prosthesis, when a pathogen is isolated by culture from 2 or more separate tissue or fluid samples obtained from the affected prosthetic joint, or when 4 of 6 criteria are met. The 6 criteria are (1) elevated serum erythrocyte sedimentation rate (ESR) (>30 mm/hour) and elevated C-reactive protein (CRP) level (>10 mg/L); (2) elevated synovial white blood cell (WBC) count (1100-4000 cells/μL); (3) elevated synovial polymorphonuclear leukocytes (>64%); (4) purulence in affected joint; (5) isolation of a microorganism in a culture of periprosthetic tissue or fluid; and (6) more than 5 neutrophils per high-power field in 5 high-power fields observed.

In this review article, we discuss recently developed novel synovial biomarkers and polymerase chain reaction (PCR) technologies that may help increase the sensitivity and specificity of diagnostic guidelines for PJI.

Methods

Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), we performed a systematic review of specific synovial fluid markers and PCR used in PJI diagnosis. In May 2016, we searched the PubMed database for these criteria: ((((((PCR[Text Word]) OR IL-6[Text Word]) OR leukocyte esterase[Text Word]) OR alpha defensin[Text Word]) AND ((“infection/diagnosis”[MeSH Terms] OR “infection/surgery”[MeSH Terms])))) AND (prosthetic joint infection[MeSH Terms] OR periprosthetic joint infection[MeSH Terms]).

We included patients who had undergone total hip, knee, or shoulder arthroplasty (THA, TKA, TSA). Index tests were PCR and the synovial fluid markers α-defensin (AD), interleukin 6 (IL-6), and leukocyte esterase (LE). Reference tests included joint fluid/serum analysis or tissue analysis (ESR/CRP level, cell count, culture, frozen section), which defined the MSIS criteria for PJI. Primary outcomes of interest were sensitivity and specificity, and secondary outcomes of interest included positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (–LR). Randomized controlled trials and controlled cohort studies in humans published within the past 10 years were included.

Results

Our full-text review yielded 15 papers that met our study inclusion criteria (Figure 1).

α-Defensin

One of the novel synovial biomarkers that has shown significant promise in diagnosing PJIs, even with difficult-to-detect organisms, is AD.

Figure 1.
Frangiamore and colleagues5 conducted a prospective study comparing patients with painful TSAs that required revision (n = 33). Patients were grouped based on objective clinical, laboratory, and histologic criteria of infection, which included preoperative clinical signs (swelling, sinus track, redness, drainage), elevated serum ESR or CRP, intraoperative gross findings (purulence, necrosis) and positive intraoperative frozen section. Synovial fluid aspiration was obtained preoperatively or intraoperatively. Of the 33 patients, 11 patients met the authors criteria for suspected PJI prior to final intraoperative culture results; 22 patients did not. Of the samples taken intraoperatively, Propionibacterium acnes was the most commonly isolated organism (9 cases), followed by coagulase-negative Staphylococcus (4 cases). AD demonstrated a sensitivity of 63%, specificity of 95%, +LR ratio of 12.1, and –LR ratio of 0.38. AD showed a strong association with growth of P acnes in the infected group (median signal-to-cutoff ratio, 4.45) compared with the noninfected group (median signal-to-cutoff ratio, 1.33) as well as strong associations with frozen section histology. Frangiamore and colleagues5 concluded that the use of AD in diagnosing PJIs with difficult-to-detect organisms was promising.

AD has shown even more impressive results as a biomarker for PJI in the hip and knee, where infection with low virulence organism is less common. In 2014, Deirmengian and colleagues6 conducted a prospective clinical study of 149 patients who underwent revision THA or TKA for aseptic loosening (n = 112) or PJI (n = 37) as defined by MSIS criteria. Aseptic loosening was diagnosed when there was no identifiable reason for pain, and MSIS criteria were not met. Synovial fluid aspirates were collected before or during surgery. AD correctly identified 143 of the 149 patients with confirmed infection with sensitivity of 97.3% (95% confidence interval [CI], 85.8%-99.6%) and specificity of 95.5% (95% CI, 89.9%-98.5%). Similarly, Bingham and colleagues7 conducted a retrospective clinical study of 61 assays done on 57 patients who underwent revision arthroplasty for PJI as defined by MSIS criteria. Synovial fluid aspirates were collected before or during surgery. AD correctly identified all 19 PJIs with sensitivity of 100% (95% CI, 79%-100%) and specificity of 95% (95% CI, 83%-99%). Sensitivity and specificity of the AD assay more accurately predicted infection than synovial cell count or serum ESR/CRP level did.

These results are supported by another prospective study by Deirmengian and colleagues8 differentiating aseptic failures and PJIs in THA or TKA. The sensitivity and specificity of AD in diagnosing PJI were 100% (95% CI, 85.05%-100%).

Table 1.
Synovial fluid was collected from 46 patients before and during surgery: 23 with PJI and 23 with aseptic failure as defined by MSIS criteria. All patients were tested for AD or LE. Of the 23 PJI cases, 18 were associated with a positive culture, with the most common organism being Staphylococcus epidermidis (n = 6). AD correctly diagnosed 100% of PJIs, whereas LE correctly diagnosed only 78%; the difference was statistically significant (P < 0.001).

In a prospective study of 102 patients who underwent revision THA or TKA secondary to aseptic loosening or PJI, Frangiamore and colleaguesalso demonstrated the value of AD as a diagnostic for PJI in primary and revision hip and knee arthroplasty.
Figure 2.
Based on MSIS criteria, 54 cases were classified as non-infected first-stage revision, 24 as infected first-stage revision, 35 as non-infected second-stage revision, and 3 as infected second-stage revision. For patients with first-stage revision THA or TKA, AD had sensitivity of 100% (95% CI, 86%-100%), specificity of 98% (95% CI, 90%-100%), PPV of 96% (95% CI, 80%-99%), and NPV of 100% (95% CI, 93%-100%). +LR was 54 (95% CI, 8-376), and –LR was 0. When combining all patients, AD outperformed serum ESR and CRP and synovial cell count as a biomarker for predicting PJI.

Table 1 and Figure 2 provide a concise review of the findings of each study.

Interleukin 6

Another synovial fluid biomarker that has shown promise in PJI diagnosis is IL-6. In 2015, Frangiamore and colleagues10 conducted a prospective clinical study of 32 patients who underwent revision TSA. Synovial fluid aspiration was obtained before or during surgery. MSIS criteria were used to establish the diagnosis of PJI. IL-6 had sensitivity of 87% and specificity of 90%, with +LR of 8.45 and –LR of 0.15 in predicting PJI. Synovial fluid IL-6 had strong associations with frozen section histology and growth of P acnes. Frangiamore and colleagues10 recommended an ideal IL-6 cutoff of 359.1 pg/mL and reported that, though not as accurate as AD, synovial fluid IL-6 levels can help predict positive cultures in patients who undergo revision TSA.

Lenski and Scherer11 conducted another retrospective clinical study of the diagnostic value of IL-6 in PJI.

Table 2.
Revision total joint arthroplasty (TJA) was performed for aseptic loosening (38 patients) or PJI (31 patients) based on criteria modeled after MSIS criteria. All joints were aspirated for synovial fluid IL-6, synovial fluid lactate dehydrogenase, synovial fluid glucose, synovial fluid lactate, synovial fluid WBCs, and serum CRP. IL-6 had sensitivity of 90.9%, specificity of 94.7%, +LR of 17.27, and –LR of 0.10. An optimal IL-6 cutoff value of 30,750 pg/mL was determined.

Randau and colleagues12 conducted a prospective clinical study of 120 patients who presented with painful THA or TKA and underwent revision for PJI, aseptic failure, or aseptic revision without signs of infection or loosening. Synovial fluid aspirate was collected before or during surgery.
Figure 3.
PJI was diagnosed with the modified MSIS criteria. IL-6 sensitivity and specificity depended on the cutoff value. A cutoff of >2100 pg/mL yielded sensitivity of 62.5% (95% CI, 43.69%-78.9%) and specificity of 85.71% (95% CI, 71.46%-94.57%), and a cutoff of >9000 pg/mL yielded sensitivity of 46.9% (95% CI, 29.09%-65.26%) and specificity of 97.62% (95% CI, 87.43%-99.94%). The authors concluded that synovial IL-6 is a more accurate marker than synovial WBC count.

Table 2 and Figure 3 provide a concise review of the findings of each study.

Leukocyte Esterase

LE strips are an inexpensive screening tool for PJI, according to some studies. In a prospective clinical study of 364 endoprosthetic joint (hip, knee, shoulder) interventions, Guenther and colleagues13 collected synovial fluid before surgery. Samples were tested with graded LE strips using PJI criteria set by the authors. Results were correlated with preoperative synovial fluid aspirations, serum CRP level, serum WBC count, and intraoperative histopathologic and microbiological findings. Whereas 293 (93.31%) of the 314 aseptic cases had negative test strip readings, 100% of the 50 infected cases were positive. LE had sensitivity of 100%, specificity of 96.5%, PPV of 82%, and NPV of 100%.

Wetters et al14 performed a prospective clinical study on 223 patients who underwent TKAs and THAs for suspected PJI based on having criteria defined by the authors of the study. Synovial fluid samples were collected either preoperatively or intraoperatively.

Table 3.
Using a synovial fluid WBC >3k WBC per microliter, the sensitivity, specificity, PPV, and NPV were 92.9%, 88.8%, 75%, and 97.2%, respectively. Using positive cultures or the presence of a draining sinus tract, the sensitivity, specificity, PPV, and NPV were 93.3%, 77%, 37.8%, and 98.7%, respectively. Of note, the most common organism found at the time of revision for infection was coagulase-negative Staphylococcus (6 out of 39).

Other authors have reported different findings that LE is an unreliable marker in PJI diagnosis. In one prospective clinical study of 85 patients who underwent primary or revision TSA, synovial fluid was collected during surgery.15 According to MSIS criteria, only 5 positive LE results predicted PJI among 21 primary and revision patients with positive cultures. Of the 7 revision patients who met the MSIS criteria for PJI, only 2 had a positive LE test. LE had sensitivity of 28.6%, specificity of 63.6%, PPV of 28.6%, and NPV of 87.5%. Six of the 7 revision patients grew P acnes. These results showed that LE was unreliable in detecting shoulder PJI.15

In another prospective clinical study, Tischler and colleagues16 enrolled 189 patients who underwent revision TKA or THA for aseptic failure or PJI as defined by the MSIS criteria. Synovial fluid was collected intraoperatively.
Figure 4.
Fifteen of the 52 patients with a MSIS defined PJI had positive cultures with the most common organism being coagulase-negative Staphylococcus (7). Two thresholds were used to consider a positive LE test. When using the first threshold that had a lower acceptance level for positivity, the sensitivity, specificity, PPV, and NPV were 79.2% (95% CI, 65.9%-89.2%), 80.8 (95% CI, 73.3%-87.1%), 61.8% (95% CI, 49.2%-73.3%), and 90.1% (95% CI, 84.3%-95.4%), respectively. When using the higher threshold, the sensitivity, specificity, PPV, and NPV were 66% (95% CI, 51.7%-78.5%), 97.1% (95% CI, 92.6%-99.2%), 89.7% (95% CI, 75.8%-97.1%), and 88% (95% CI, 81.7%-92.7%), respectively. Once again, these results were in line with LE not being a reliable marker in diagnosing PJI.

Table 3 and Figure 4 provide a concise review of the findings of each study.

 

 

Polymerase Chain Reaction

Studies have found that PCR analysis of synovial fluid is effective in detecting bacteria on the surface of implants removed during revision arthroplasties. Comparison of the 16S rRNA gene sequences of bacterial genomes showed a diverse range of bacterial species within biofilms on the surface of clinical and subclinical infections.17 These findings, along with those of other studies, suggest that PCR analysis of synovial fluid is useful in diagnosing PJI and identifying organisms and their sensitivities to antibiotics.

Gallo and colleagues18 performed a prospective clinical study on 115 patients who underwent revision TKAs or THAs. Synovial fluid was collected intraoperatively. PCR assays targeting the 16S rDNA were carried out on 101 patients. PJIs were classified based on criteria of the authors of this study, of which there were 42. The sensitivity, specificity, PPV, NPV, +LR, and -LR for PCR were 71.4% (95% CI, 61.5%-75.5%), 97% (95% CI, 91.7%-99.1%), 92.6% (95% CI, 79.8%-97.9%), 86.5% (95% CI, 81.8%-88.4%), 23.6 (95% CI, 5.9%-93.8%), and 0.29 (95% CI, 0.17%-0.49%), respectively. Of note the most common organism detected in 42 PJIs was coagulase-negative Staphylococcus.

Marin and colleagues19 conducted a prospective study of 122 patients who underwent arthroplasty for suspected infection or aseptic loosening as defined by the authors’ clinicohistopathologic criteria. Synovial fluid and biopsy specimens were collected during surgery, and 40 patients met the infection criteria. The authors concluded that 16S PCR is more specific and has better PPV than culture does as one positive 16S PCR resulted in a specificity and PPV of PJI of 96.3% and 91.7%, respectively. However, they noted that culture was more sensitive in diagnosing PJI.

Jacovides and colleagues20 conducted a prospective study on 82 patients undergoing primary TKA, revision TKA, and revision THA.

Table 4.
The synovial fluid aspirate was collected intraoperatively. PJI was diagnosed based on study specific criteria, which was a combination of clinical suspicion and standard laboratory tests (ESR, CRP, cell count and tissue culture). Using the study’s criteria, PJI was diagnosed in 23 samples, and 57 samples were diagnosed as uninfected. When 1 or more species were present, the PCR-Electrospray Ionization Mass Spectrometry (PCR-ESI/MS) yielded a sensitivity, specificity, PPV, and NPV value of 95.7%, 12.3%, 30.6%, and 87.5%, respectively.

The low PCR sensitivities reported in the literature were explained in a review by Hartley and Harris.21 They wrote that BR 16S rDNA and sequencing of PJI samples inherently have low sensitivity because of the contamination that can occur from the PCR reagents themselves or from sample mishandling. Techniques that address contaminant (extraneous DNA) removal, such as ultraviolet irradiation and DNase treatment, reduce Taq DNA polymerase activity, which reduces PCR sensitivity.
Figure 5.
The simplest way to avoid the effects of “low-level contaminants” is to decrease the number of PCR cycles, which also reduces sensitivity. However, loss of contaminants has resulted in increased specificities in studies that have used BR 16S rDNA PCR. The authors also stated that, when PCR incorporates cloning and sequencing, mass spectroscopic detection, or species-specific PCR, sensitivity is higher with increased contamination.

Table 4 and Figure 5 provide a concise review of the findings of each study.

Discussion

Although there is no gold standard for the diagnosis of PJIs, several clinical and laboratory criteria guidelines are currently used to help clinicians diagnose infections of prosthetic joints. However, despite standardization of diagnostic criteria, PJI continue to be a diagnostic challenge.

Table 5.
Diagnosing PJI has been difficult for several reasons, including lack of highly sensitive and specific clinical findings and laboratory tests, as well as difficulty in culturing organisms, particularly fastidious organisms. More effective diagnostic tools are needed to avoid failing to accurately detect infections which lead to poor outcomes in patients who undergo TJA. Moreover, PJIs with low-virulence organisms are especially troublesome, as they can present with normal serum inflammatory markers and negative synovial fluid analysis and cultures from joint aspiration.22

AD is a highly sensitive and specific synovial fluid biomarker in detecting common PJIs.

Table 6.
AD has a higher sensitivity and specificity for detecting PJI, as compared to synovial fluid cell count, culture, ESR, and CRP.15,16,19 Moreover, it has been shown that as many as 38% to 88% of patients diagnosed with aseptic loosening have PJIs with low-grade organisms,23,24 such as Coagulase-negative S acnes and P acnes. Several studies reviewed in this article have demonstrated that AD can detect infections with these low virulence organisms. Our systematic review supports the claim that AD can potentially be used as a screening tool for PJI with common, as well as difficult-to-detect, organisms.
Figure 6.
Our findings also support the claim that novel synovial fluid biomarkers have the potential to become of significant diagnostic use and help improve the ability to diagnose PJIs when combined with current laboratory and clinical diagnostic criteria.

In summary, 5 AD studies5-9 had sensitivity ranging from 63% to 100% and specificity ranging from 95% to 100%; 3 IL-6 studies10-12 had sensitivity ranging from 46.8% to 90.9% and specificity ranging from 85.7% to 97.6%; 4 LE studies13-16 had sensitivity ranging from 28.6% to 100% and specificity ranging from 63.6% to 96.5%; and 3 PCR studies18-20 had sensitivity ranging from 67.1% to 95.7% and specificity ranging from 12.3% to 97.8%. Sensitivity and specificity were consistently higher for AD than for IL-6, LE, and PCR, though there was significant overlap, heterogeneity, and variation across all the included studies.
Figure 7.
Moreover, the outlier study with the lowest sensitivity for AD (63%) was in patients undergoing TSA, where P acnes infection is more common and has been reported to be more difficult to detect by standard diagnostic tools. Tables 5, 6 and Figures 6, 7 provide the data for each of these studies.

Although the overall incidence of PJI is low, infected revisions remain a substantial financial burden to hospitals, as annual costs of infected revisions is estimated to exceed $1.62 billion by 2020.25 The usefulness of novel biomarkers and PCR in diagnosing PJI can be found in their ability to diagnose infections and facilitate appropriate early treatment. Several of these tests are readily available commercially and have the potential to be cost-effective diagnostic tools. The price to perform an AD test from Synovasure TM (Zimmer Biomet) ranges from $93 to $143. LE also provides an economic option for diagnosing PJI, as LE strips are commercially available for the cost of about 25 cents. PCR has also become an economic option, as costs can average $15.50 per sample extraction or PCR assay and $42.50 per amplicon sequence as reported in a study by Vandercam and colleagues.26 Future studies are needed to determine a diagnostic algorithm which incorporates these novel synovial markers to improve diagnostic accuracy of PJI in the most cost effective manner.

The current literature supports that AD can potentially be used to screen for PJI. Our findings suggest novel synovial fluid biomarkers may become of significant diagnostic use when combined with current laboratory and clinical diagnostic criteria. We recommend use of AD in cases in which pain, stiffness, and poor TJA outcome cannot be explained by errors in surgical technique, and infection is suspected despite MSIS criteria not being met.

The studies reviewed in this manuscript were limited in that none presented level I evidence (12 had level II evidence, and 3 had level III evidence), and there was significant heterogeneity (some studies used their own diagnostic standard, and others used the MSIS criteria). Larger scale prospective studies comparing serum ESR/CRP level and synovial fluid analysis to novel synovial markers are needed.

Am J Orthop. 2017;46(4):190-198. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

References

1. Maradit Kremers H, Larson DR, Crowson CS, et al. Prevalence of total hip and knee replacement in the United States. J Bone Joint Surg Am. 2015;97(17):1386-1397.

2. Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89(4):780-785.

3. Sharkey PF, Lichstein PM, Shen C, Tokarski AT, Parvizi J. Why are total knee arthroplasties failing today—has anything changed after 10 years? J Arthroplasty. 2014;29(9):1774-1778.

4. Butler-Wu SM, Burns EM, Pottinger PS, et al. Optimization of periprosthetic culture for diagnosis of Propionibacterium acnes prosthetic joint infection. J Clin Microbiol. 2011;49(7):2490-2495.

5. Frangiamore SJ, Saleh A, Grosso MJ, et al. α-Defensin as a predictor of periprosthetic shoulder infection. J Shoulder Elbow Surg. 2015;24(7):1021-1027.

6. Deirmengian C, Kardos K, Kilmartin P, Cameron A, Schiller K, Parvizi J. Combined measurement of synovial fluid α-defensin and C-reactive protein levels: highly accurate for diagnosing periprosthetic joint infection. J Bone Joint Surg Am. 2014;96(17):1439-1445.

7. Bingham J, Clarke H, Spangehl M, Schwartz A, Beauchamp C, Goldberg B. The alpha defensin-1 biomarker assay can be used to evaluate the potentially infected total joint arthroplasty. Clin Orthop Relat Res. 2014;472(12):4006-4009.

8. Deirmengian C, Kardos K, Kilmartin P, et al. The alpha-defensin test for periprosthetic joint infection outperforms the leukocyte esterase test strip. Clin Orthop Relat Res. 2015;473(1):198-203.

9. Frangiamore SJ, Gajewski ND, Saleh A, Farias-Kovac M, Barsoum WK, Higuera CA. α-Defensin accuracy to diagnose periprosthetic joint infection—best available test? J Arthroplasty. 2016;31(2):456-460.

10. Frangiamore SJ, Saleh A, Kovac MF, et al. Synovial fluid interleukin-6 as a predictor of periprosthetic shoulder infection. J Bone Joint Surg Am. 2015;97(1):63-70.

11. Lenski M, Scherer MA. Synovial IL-6 as inflammatory marker in periprosthetic joint infections. J Arthroplasty. 2014;29(6):1105-1109.

12. Randau TM, Friedrich MJ, Wimmer MD, et al. Interleukin-6 in serum and in synovial fluid enhances the differentiation between periprosthetic joint infection and aseptic loosening. PLoS One. 2014;9(2):e89045.

13. Guenther D, Kokenge T, Jacobs O, et al. Excluding infections in arthroplasty using leucocyte esterase test. Int Orthop. 2014;38(11):2385-2390.

14. Wetters NG, Berend KR, Lombardi AV, Morris MJ, Tucker TL, Della Valle CJ. Leukocyte esterase reagent strips for the rapid diagnosis of periprosthetic joint infection. J Arthroplasty. 2012;27(8 suppl):8-11.

15. Nelson GN, Paxton ES, Narzikul A, Williams G, Lazarus MD, Abboud JA. Leukocyte esterase in the diagnosis of shoulder periprosthetic joint infection. J Shoulder Elbow Surg. 2015;24(9):1421-1426.

16. Tischler EH, Cavanaugh PK, Parvizi J. Leukocyte esterase strip test: matched for Musculoskeletal Infection Society criteria. J Bone Joint Surg Am. 2014;96(22):1917-1920.

17. Dempsey KE, Riggio MP, Lennon A, et al. Identification of bacteria on the surface of clinically infected and non-infected prosthetic hip joints removed during revision arthroplasties by 16S rRNA gene sequencing and by microbiological culture. Arthritis Res Ther. 2007;9(3):R46.

18. Gallo J, Kolar M, Dendis M, et al. Culture and PCR analysis of joint fluid in the diagnosis of prosthetic joint infection. New Microbiol. 2008;31(1):97-104.

19. Marin M, Garcia-Lechuz JM, Alonso P, et al. Role of universal 16S rRNA gene PCR and sequencing in diagnosis of prosthetic joint infection. J Clin Microbiol. 2012;50(3):583-589.

20. Jacovides CL, Kreft R, Adeli B, Hozack B, Ehrlich GD, Parvizi J. Successful identification of pathogens by polymerase chain reaction (PCR)-based electron spray ionization time-of-flight mass spectrometry (ESI-TOF-MS) in culture-negative periprosthetic joint infection. J Bone Joint Surg Am. 2012;94(24):2247-2254.

21. Hartley JC, Harris KA. Molecular techniques for diagnosing prosthetic joint infections. J Antimicrob Chemother. 2014;69(suppl 1):i21-i24.

22. Zappe B, Graf S, Ochsner PE, Zimmerli W, Sendi P. Propionibacterium spp. in prosthetic joint infections: a diagnostic challenge. Arch Orthop Trauma Surg. 2008;128(10):1039-1046.

23. Rasouli MR, Harandi AA, Adeli B, Purtill JJ, Parvizi J. Revision total knee arthroplasty: infection should be ruled out in all cases. J Arthroplasty. 2012;27(6):1239-1243.e1-e2.

24. Hunt RW, Bond MJ, Pater GD. Psychological responses to cancer: a case for cancer support groups. Community Health Stud. 1990;14(1):35-38.

25. Kurtz SM, Lau E, Schmier J, Ong KL, Zhao K, Parvizi J. Infection burden for hip and knee arthroplasty in the United States. J Arthroplasty. 2008;23(7):984-991.

26. Vandercam B, Jeumont S, Cornu O, et al. Amplification-based DNA analysis in the diagnosis of prosthetic joint infection. J Mol Diagn. 2008;10(6):537-543.

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Authors’ Disclosure Statement: The authors report no actual or potential conflict of interest in relation to this article.

Acknowledgments: This article was presented as a paper at the annual meeting of the Clinical Orthopedic Society, September 29-October 1, 2016, New Orleans, LA, and at the Annual Pan Pacific Orthopaedic Congress, August 10-13, 2016, Waikoloa, HI.

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Acknowledgments: This article was presented as a paper at the annual meeting of the Clinical Orthopedic Society, September 29-October 1, 2016, New Orleans, LA, and at the Annual Pan Pacific Orthopaedic Congress, August 10-13, 2016, Waikoloa, HI.

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Authors’ Disclosure Statement: The authors report no actual or potential conflict of interest in relation to this article.

Acknowledgments: This article was presented as a paper at the annual meeting of the Clinical Orthopedic Society, September 29-October 1, 2016, New Orleans, LA, and at the Annual Pan Pacific Orthopaedic Congress, August 10-13, 2016, Waikoloa, HI.

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Take-Home Points

  • Novel synovial markers and PCR have the potential to improve the detection of PJIs.
  • 10Difficult-to-detect infections of prosthetic joints pose a diagnostic problem to surgeons and can lead to suboptimal outcomes.
  • AD is a highly sensitive and specific synovial fluid marker for detecting PJIs.
  • AD has shown promising results in detecting low virulence organisms.
  • Studies are needed to determine how to best incorporate novel synovial markers and PCR to current diagnostic criteria in order to improve diagnostic accuracy.

Approximately 7 million Americans are living with a hip or knee replacement.1 According to projections, primary hip arthroplasties will increase by 174% and knee arthroplasties by 673% by 2030. Revision arthroplasties are projected to increase by 137% for hips and 601% for knees during the same time period.2 Infection and aseptic loosening are the most common causes of implant failure.3 The literature shows that infection is the most common cause of failure within 2 years after surgery and that aseptic loosening is the most common cause for late revision.3

Recent studies suggest that prosthetic joint infection (PJI) may be underreported because of difficulty making a diagnosis and that cases of aseptic loosening may in fact be attributable to infections with low-virulence organisms.2,3 These findings have led to new efforts to develop uniform criteria for diagnosing PJIs. In 2011, the Musculoskeletal Infection Society (MSIS) offered a new definition for PJI diagnosis, based on clinical and laboratory criteria, to increase the accuracy of PJI diagnosis.4 The MSIS committee acknowledged that PJI may be present even if these criteria are not met, particularly in the case of low-virulence organisms, as patients may not present with clinical signs of infection and may have normal inflammatory markers and joint aspirates. Reports of PJI cases misdiagnosed as aseptic loosening suggest that current screening and diagnostic tools are not sensitive enough to detect all infections and that PJI is likely underdiagnosed.

According to MSIS criteria, the diagnosis of PJI can be made when there is a sinus tract communicating with the prosthesis, when a pathogen is isolated by culture from 2 or more separate tissue or fluid samples obtained from the affected prosthetic joint, or when 4 of 6 criteria are met. The 6 criteria are (1) elevated serum erythrocyte sedimentation rate (ESR) (>30 mm/hour) and elevated C-reactive protein (CRP) level (>10 mg/L); (2) elevated synovial white blood cell (WBC) count (1100-4000 cells/μL); (3) elevated synovial polymorphonuclear leukocytes (>64%); (4) purulence in affected joint; (5) isolation of a microorganism in a culture of periprosthetic tissue or fluid; and (6) more than 5 neutrophils per high-power field in 5 high-power fields observed.

In this review article, we discuss recently developed novel synovial biomarkers and polymerase chain reaction (PCR) technologies that may help increase the sensitivity and specificity of diagnostic guidelines for PJI.

Methods

Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), we performed a systematic review of specific synovial fluid markers and PCR used in PJI diagnosis. In May 2016, we searched the PubMed database for these criteria: ((((((PCR[Text Word]) OR IL-6[Text Word]) OR leukocyte esterase[Text Word]) OR alpha defensin[Text Word]) AND ((“infection/diagnosis”[MeSH Terms] OR “infection/surgery”[MeSH Terms])))) AND (prosthetic joint infection[MeSH Terms] OR periprosthetic joint infection[MeSH Terms]).

We included patients who had undergone total hip, knee, or shoulder arthroplasty (THA, TKA, TSA). Index tests were PCR and the synovial fluid markers α-defensin (AD), interleukin 6 (IL-6), and leukocyte esterase (LE). Reference tests included joint fluid/serum analysis or tissue analysis (ESR/CRP level, cell count, culture, frozen section), which defined the MSIS criteria for PJI. Primary outcomes of interest were sensitivity and specificity, and secondary outcomes of interest included positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (–LR). Randomized controlled trials and controlled cohort studies in humans published within the past 10 years were included.

Results

Our full-text review yielded 15 papers that met our study inclusion criteria (Figure 1).

α-Defensin

One of the novel synovial biomarkers that has shown significant promise in diagnosing PJIs, even with difficult-to-detect organisms, is AD.

Figure 1.
Frangiamore and colleagues5 conducted a prospective study comparing patients with painful TSAs that required revision (n = 33). Patients were grouped based on objective clinical, laboratory, and histologic criteria of infection, which included preoperative clinical signs (swelling, sinus track, redness, drainage), elevated serum ESR or CRP, intraoperative gross findings (purulence, necrosis) and positive intraoperative frozen section. Synovial fluid aspiration was obtained preoperatively or intraoperatively. Of the 33 patients, 11 patients met the authors criteria for suspected PJI prior to final intraoperative culture results; 22 patients did not. Of the samples taken intraoperatively, Propionibacterium acnes was the most commonly isolated organism (9 cases), followed by coagulase-negative Staphylococcus (4 cases). AD demonstrated a sensitivity of 63%, specificity of 95%, +LR ratio of 12.1, and –LR ratio of 0.38. AD showed a strong association with growth of P acnes in the infected group (median signal-to-cutoff ratio, 4.45) compared with the noninfected group (median signal-to-cutoff ratio, 1.33) as well as strong associations with frozen section histology. Frangiamore and colleagues5 concluded that the use of AD in diagnosing PJIs with difficult-to-detect organisms was promising.

AD has shown even more impressive results as a biomarker for PJI in the hip and knee, where infection with low virulence organism is less common. In 2014, Deirmengian and colleagues6 conducted a prospective clinical study of 149 patients who underwent revision THA or TKA for aseptic loosening (n = 112) or PJI (n = 37) as defined by MSIS criteria. Aseptic loosening was diagnosed when there was no identifiable reason for pain, and MSIS criteria were not met. Synovial fluid aspirates were collected before or during surgery. AD correctly identified 143 of the 149 patients with confirmed infection with sensitivity of 97.3% (95% confidence interval [CI], 85.8%-99.6%) and specificity of 95.5% (95% CI, 89.9%-98.5%). Similarly, Bingham and colleagues7 conducted a retrospective clinical study of 61 assays done on 57 patients who underwent revision arthroplasty for PJI as defined by MSIS criteria. Synovial fluid aspirates were collected before or during surgery. AD correctly identified all 19 PJIs with sensitivity of 100% (95% CI, 79%-100%) and specificity of 95% (95% CI, 83%-99%). Sensitivity and specificity of the AD assay more accurately predicted infection than synovial cell count or serum ESR/CRP level did.

These results are supported by another prospective study by Deirmengian and colleagues8 differentiating aseptic failures and PJIs in THA or TKA. The sensitivity and specificity of AD in diagnosing PJI were 100% (95% CI, 85.05%-100%).

Table 1.
Synovial fluid was collected from 46 patients before and during surgery: 23 with PJI and 23 with aseptic failure as defined by MSIS criteria. All patients were tested for AD or LE. Of the 23 PJI cases, 18 were associated with a positive culture, with the most common organism being Staphylococcus epidermidis (n = 6). AD correctly diagnosed 100% of PJIs, whereas LE correctly diagnosed only 78%; the difference was statistically significant (P < 0.001).

In a prospective study of 102 patients who underwent revision THA or TKA secondary to aseptic loosening or PJI, Frangiamore and colleaguesalso demonstrated the value of AD as a diagnostic for PJI in primary and revision hip and knee arthroplasty.
Figure 2.
Based on MSIS criteria, 54 cases were classified as non-infected first-stage revision, 24 as infected first-stage revision, 35 as non-infected second-stage revision, and 3 as infected second-stage revision. For patients with first-stage revision THA or TKA, AD had sensitivity of 100% (95% CI, 86%-100%), specificity of 98% (95% CI, 90%-100%), PPV of 96% (95% CI, 80%-99%), and NPV of 100% (95% CI, 93%-100%). +LR was 54 (95% CI, 8-376), and –LR was 0. When combining all patients, AD outperformed serum ESR and CRP and synovial cell count as a biomarker for predicting PJI.

Table 1 and Figure 2 provide a concise review of the findings of each study.

Interleukin 6

Another synovial fluid biomarker that has shown promise in PJI diagnosis is IL-6. In 2015, Frangiamore and colleagues10 conducted a prospective clinical study of 32 patients who underwent revision TSA. Synovial fluid aspiration was obtained before or during surgery. MSIS criteria were used to establish the diagnosis of PJI. IL-6 had sensitivity of 87% and specificity of 90%, with +LR of 8.45 and –LR of 0.15 in predicting PJI. Synovial fluid IL-6 had strong associations with frozen section histology and growth of P acnes. Frangiamore and colleagues10 recommended an ideal IL-6 cutoff of 359.1 pg/mL and reported that, though not as accurate as AD, synovial fluid IL-6 levels can help predict positive cultures in patients who undergo revision TSA.

Lenski and Scherer11 conducted another retrospective clinical study of the diagnostic value of IL-6 in PJI.

Table 2.
Revision total joint arthroplasty (TJA) was performed for aseptic loosening (38 patients) or PJI (31 patients) based on criteria modeled after MSIS criteria. All joints were aspirated for synovial fluid IL-6, synovial fluid lactate dehydrogenase, synovial fluid glucose, synovial fluid lactate, synovial fluid WBCs, and serum CRP. IL-6 had sensitivity of 90.9%, specificity of 94.7%, +LR of 17.27, and –LR of 0.10. An optimal IL-6 cutoff value of 30,750 pg/mL was determined.

Randau and colleagues12 conducted a prospective clinical study of 120 patients who presented with painful THA or TKA and underwent revision for PJI, aseptic failure, or aseptic revision without signs of infection or loosening. Synovial fluid aspirate was collected before or during surgery.
Figure 3.
PJI was diagnosed with the modified MSIS criteria. IL-6 sensitivity and specificity depended on the cutoff value. A cutoff of >2100 pg/mL yielded sensitivity of 62.5% (95% CI, 43.69%-78.9%) and specificity of 85.71% (95% CI, 71.46%-94.57%), and a cutoff of >9000 pg/mL yielded sensitivity of 46.9% (95% CI, 29.09%-65.26%) and specificity of 97.62% (95% CI, 87.43%-99.94%). The authors concluded that synovial IL-6 is a more accurate marker than synovial WBC count.

Table 2 and Figure 3 provide a concise review of the findings of each study.

Leukocyte Esterase

LE strips are an inexpensive screening tool for PJI, according to some studies. In a prospective clinical study of 364 endoprosthetic joint (hip, knee, shoulder) interventions, Guenther and colleagues13 collected synovial fluid before surgery. Samples were tested with graded LE strips using PJI criteria set by the authors. Results were correlated with preoperative synovial fluid aspirations, serum CRP level, serum WBC count, and intraoperative histopathologic and microbiological findings. Whereas 293 (93.31%) of the 314 aseptic cases had negative test strip readings, 100% of the 50 infected cases were positive. LE had sensitivity of 100%, specificity of 96.5%, PPV of 82%, and NPV of 100%.

Wetters et al14 performed a prospective clinical study on 223 patients who underwent TKAs and THAs for suspected PJI based on having criteria defined by the authors of the study. Synovial fluid samples were collected either preoperatively or intraoperatively.

Table 3.
Using a synovial fluid WBC >3k WBC per microliter, the sensitivity, specificity, PPV, and NPV were 92.9%, 88.8%, 75%, and 97.2%, respectively. Using positive cultures or the presence of a draining sinus tract, the sensitivity, specificity, PPV, and NPV were 93.3%, 77%, 37.8%, and 98.7%, respectively. Of note, the most common organism found at the time of revision for infection was coagulase-negative Staphylococcus (6 out of 39).

Other authors have reported different findings that LE is an unreliable marker in PJI diagnosis. In one prospective clinical study of 85 patients who underwent primary or revision TSA, synovial fluid was collected during surgery.15 According to MSIS criteria, only 5 positive LE results predicted PJI among 21 primary and revision patients with positive cultures. Of the 7 revision patients who met the MSIS criteria for PJI, only 2 had a positive LE test. LE had sensitivity of 28.6%, specificity of 63.6%, PPV of 28.6%, and NPV of 87.5%. Six of the 7 revision patients grew P acnes. These results showed that LE was unreliable in detecting shoulder PJI.15

In another prospective clinical study, Tischler and colleagues16 enrolled 189 patients who underwent revision TKA or THA for aseptic failure or PJI as defined by the MSIS criteria. Synovial fluid was collected intraoperatively.
Figure 4.
Fifteen of the 52 patients with a MSIS defined PJI had positive cultures with the most common organism being coagulase-negative Staphylococcus (7). Two thresholds were used to consider a positive LE test. When using the first threshold that had a lower acceptance level for positivity, the sensitivity, specificity, PPV, and NPV were 79.2% (95% CI, 65.9%-89.2%), 80.8 (95% CI, 73.3%-87.1%), 61.8% (95% CI, 49.2%-73.3%), and 90.1% (95% CI, 84.3%-95.4%), respectively. When using the higher threshold, the sensitivity, specificity, PPV, and NPV were 66% (95% CI, 51.7%-78.5%), 97.1% (95% CI, 92.6%-99.2%), 89.7% (95% CI, 75.8%-97.1%), and 88% (95% CI, 81.7%-92.7%), respectively. Once again, these results were in line with LE not being a reliable marker in diagnosing PJI.

Table 3 and Figure 4 provide a concise review of the findings of each study.

 

 

Polymerase Chain Reaction

Studies have found that PCR analysis of synovial fluid is effective in detecting bacteria on the surface of implants removed during revision arthroplasties. Comparison of the 16S rRNA gene sequences of bacterial genomes showed a diverse range of bacterial species within biofilms on the surface of clinical and subclinical infections.17 These findings, along with those of other studies, suggest that PCR analysis of synovial fluid is useful in diagnosing PJI and identifying organisms and their sensitivities to antibiotics.

Gallo and colleagues18 performed a prospective clinical study on 115 patients who underwent revision TKAs or THAs. Synovial fluid was collected intraoperatively. PCR assays targeting the 16S rDNA were carried out on 101 patients. PJIs were classified based on criteria of the authors of this study, of which there were 42. The sensitivity, specificity, PPV, NPV, +LR, and -LR for PCR were 71.4% (95% CI, 61.5%-75.5%), 97% (95% CI, 91.7%-99.1%), 92.6% (95% CI, 79.8%-97.9%), 86.5% (95% CI, 81.8%-88.4%), 23.6 (95% CI, 5.9%-93.8%), and 0.29 (95% CI, 0.17%-0.49%), respectively. Of note the most common organism detected in 42 PJIs was coagulase-negative Staphylococcus.

Marin and colleagues19 conducted a prospective study of 122 patients who underwent arthroplasty for suspected infection or aseptic loosening as defined by the authors’ clinicohistopathologic criteria. Synovial fluid and biopsy specimens were collected during surgery, and 40 patients met the infection criteria. The authors concluded that 16S PCR is more specific and has better PPV than culture does as one positive 16S PCR resulted in a specificity and PPV of PJI of 96.3% and 91.7%, respectively. However, they noted that culture was more sensitive in diagnosing PJI.

Jacovides and colleagues20 conducted a prospective study on 82 patients undergoing primary TKA, revision TKA, and revision THA.

Table 4.
The synovial fluid aspirate was collected intraoperatively. PJI was diagnosed based on study specific criteria, which was a combination of clinical suspicion and standard laboratory tests (ESR, CRP, cell count and tissue culture). Using the study’s criteria, PJI was diagnosed in 23 samples, and 57 samples were diagnosed as uninfected. When 1 or more species were present, the PCR-Electrospray Ionization Mass Spectrometry (PCR-ESI/MS) yielded a sensitivity, specificity, PPV, and NPV value of 95.7%, 12.3%, 30.6%, and 87.5%, respectively.

The low PCR sensitivities reported in the literature were explained in a review by Hartley and Harris.21 They wrote that BR 16S rDNA and sequencing of PJI samples inherently have low sensitivity because of the contamination that can occur from the PCR reagents themselves or from sample mishandling. Techniques that address contaminant (extraneous DNA) removal, such as ultraviolet irradiation and DNase treatment, reduce Taq DNA polymerase activity, which reduces PCR sensitivity.
Figure 5.
The simplest way to avoid the effects of “low-level contaminants” is to decrease the number of PCR cycles, which also reduces sensitivity. However, loss of contaminants has resulted in increased specificities in studies that have used BR 16S rDNA PCR. The authors also stated that, when PCR incorporates cloning and sequencing, mass spectroscopic detection, or species-specific PCR, sensitivity is higher with increased contamination.

Table 4 and Figure 5 provide a concise review of the findings of each study.

Discussion

Although there is no gold standard for the diagnosis of PJIs, several clinical and laboratory criteria guidelines are currently used to help clinicians diagnose infections of prosthetic joints. However, despite standardization of diagnostic criteria, PJI continue to be a diagnostic challenge.

Table 5.
Diagnosing PJI has been difficult for several reasons, including lack of highly sensitive and specific clinical findings and laboratory tests, as well as difficulty in culturing organisms, particularly fastidious organisms. More effective diagnostic tools are needed to avoid failing to accurately detect infections which lead to poor outcomes in patients who undergo TJA. Moreover, PJIs with low-virulence organisms are especially troublesome, as they can present with normal serum inflammatory markers and negative synovial fluid analysis and cultures from joint aspiration.22

AD is a highly sensitive and specific synovial fluid biomarker in detecting common PJIs.

Table 6.
AD has a higher sensitivity and specificity for detecting PJI, as compared to synovial fluid cell count, culture, ESR, and CRP.15,16,19 Moreover, it has been shown that as many as 38% to 88% of patients diagnosed with aseptic loosening have PJIs with low-grade organisms,23,24 such as Coagulase-negative S acnes and P acnes. Several studies reviewed in this article have demonstrated that AD can detect infections with these low virulence organisms. Our systematic review supports the claim that AD can potentially be used as a screening tool for PJI with common, as well as difficult-to-detect, organisms.
Figure 6.
Our findings also support the claim that novel synovial fluid biomarkers have the potential to become of significant diagnostic use and help improve the ability to diagnose PJIs when combined with current laboratory and clinical diagnostic criteria.

In summary, 5 AD studies5-9 had sensitivity ranging from 63% to 100% and specificity ranging from 95% to 100%; 3 IL-6 studies10-12 had sensitivity ranging from 46.8% to 90.9% and specificity ranging from 85.7% to 97.6%; 4 LE studies13-16 had sensitivity ranging from 28.6% to 100% and specificity ranging from 63.6% to 96.5%; and 3 PCR studies18-20 had sensitivity ranging from 67.1% to 95.7% and specificity ranging from 12.3% to 97.8%. Sensitivity and specificity were consistently higher for AD than for IL-6, LE, and PCR, though there was significant overlap, heterogeneity, and variation across all the included studies.
Figure 7.
Moreover, the outlier study with the lowest sensitivity for AD (63%) was in patients undergoing TSA, where P acnes infection is more common and has been reported to be more difficult to detect by standard diagnostic tools. Tables 5, 6 and Figures 6, 7 provide the data for each of these studies.

Although the overall incidence of PJI is low, infected revisions remain a substantial financial burden to hospitals, as annual costs of infected revisions is estimated to exceed $1.62 billion by 2020.25 The usefulness of novel biomarkers and PCR in diagnosing PJI can be found in their ability to diagnose infections and facilitate appropriate early treatment. Several of these tests are readily available commercially and have the potential to be cost-effective diagnostic tools. The price to perform an AD test from Synovasure TM (Zimmer Biomet) ranges from $93 to $143. LE also provides an economic option for diagnosing PJI, as LE strips are commercially available for the cost of about 25 cents. PCR has also become an economic option, as costs can average $15.50 per sample extraction or PCR assay and $42.50 per amplicon sequence as reported in a study by Vandercam and colleagues.26 Future studies are needed to determine a diagnostic algorithm which incorporates these novel synovial markers to improve diagnostic accuracy of PJI in the most cost effective manner.

The current literature supports that AD can potentially be used to screen for PJI. Our findings suggest novel synovial fluid biomarkers may become of significant diagnostic use when combined with current laboratory and clinical diagnostic criteria. We recommend use of AD in cases in which pain, stiffness, and poor TJA outcome cannot be explained by errors in surgical technique, and infection is suspected despite MSIS criteria not being met.

The studies reviewed in this manuscript were limited in that none presented level I evidence (12 had level II evidence, and 3 had level III evidence), and there was significant heterogeneity (some studies used their own diagnostic standard, and others used the MSIS criteria). Larger scale prospective studies comparing serum ESR/CRP level and synovial fluid analysis to novel synovial markers are needed.

Am J Orthop. 2017;46(4):190-198. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

Take-Home Points

  • Novel synovial markers and PCR have the potential to improve the detection of PJIs.
  • 10Difficult-to-detect infections of prosthetic joints pose a diagnostic problem to surgeons and can lead to suboptimal outcomes.
  • AD is a highly sensitive and specific synovial fluid marker for detecting PJIs.
  • AD has shown promising results in detecting low virulence organisms.
  • Studies are needed to determine how to best incorporate novel synovial markers and PCR to current diagnostic criteria in order to improve diagnostic accuracy.

Approximately 7 million Americans are living with a hip or knee replacement.1 According to projections, primary hip arthroplasties will increase by 174% and knee arthroplasties by 673% by 2030. Revision arthroplasties are projected to increase by 137% for hips and 601% for knees during the same time period.2 Infection and aseptic loosening are the most common causes of implant failure.3 The literature shows that infection is the most common cause of failure within 2 years after surgery and that aseptic loosening is the most common cause for late revision.3

Recent studies suggest that prosthetic joint infection (PJI) may be underreported because of difficulty making a diagnosis and that cases of aseptic loosening may in fact be attributable to infections with low-virulence organisms.2,3 These findings have led to new efforts to develop uniform criteria for diagnosing PJIs. In 2011, the Musculoskeletal Infection Society (MSIS) offered a new definition for PJI diagnosis, based on clinical and laboratory criteria, to increase the accuracy of PJI diagnosis.4 The MSIS committee acknowledged that PJI may be present even if these criteria are not met, particularly in the case of low-virulence organisms, as patients may not present with clinical signs of infection and may have normal inflammatory markers and joint aspirates. Reports of PJI cases misdiagnosed as aseptic loosening suggest that current screening and diagnostic tools are not sensitive enough to detect all infections and that PJI is likely underdiagnosed.

According to MSIS criteria, the diagnosis of PJI can be made when there is a sinus tract communicating with the prosthesis, when a pathogen is isolated by culture from 2 or more separate tissue or fluid samples obtained from the affected prosthetic joint, or when 4 of 6 criteria are met. The 6 criteria are (1) elevated serum erythrocyte sedimentation rate (ESR) (>30 mm/hour) and elevated C-reactive protein (CRP) level (>10 mg/L); (2) elevated synovial white blood cell (WBC) count (1100-4000 cells/μL); (3) elevated synovial polymorphonuclear leukocytes (>64%); (4) purulence in affected joint; (5) isolation of a microorganism in a culture of periprosthetic tissue or fluid; and (6) more than 5 neutrophils per high-power field in 5 high-power fields observed.

In this review article, we discuss recently developed novel synovial biomarkers and polymerase chain reaction (PCR) technologies that may help increase the sensitivity and specificity of diagnostic guidelines for PJI.

Methods

Using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), we performed a systematic review of specific synovial fluid markers and PCR used in PJI diagnosis. In May 2016, we searched the PubMed database for these criteria: ((((((PCR[Text Word]) OR IL-6[Text Word]) OR leukocyte esterase[Text Word]) OR alpha defensin[Text Word]) AND ((“infection/diagnosis”[MeSH Terms] OR “infection/surgery”[MeSH Terms])))) AND (prosthetic joint infection[MeSH Terms] OR periprosthetic joint infection[MeSH Terms]).

We included patients who had undergone total hip, knee, or shoulder arthroplasty (THA, TKA, TSA). Index tests were PCR and the synovial fluid markers α-defensin (AD), interleukin 6 (IL-6), and leukocyte esterase (LE). Reference tests included joint fluid/serum analysis or tissue analysis (ESR/CRP level, cell count, culture, frozen section), which defined the MSIS criteria for PJI. Primary outcomes of interest were sensitivity and specificity, and secondary outcomes of interest included positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (–LR). Randomized controlled trials and controlled cohort studies in humans published within the past 10 years were included.

Results

Our full-text review yielded 15 papers that met our study inclusion criteria (Figure 1).

α-Defensin

One of the novel synovial biomarkers that has shown significant promise in diagnosing PJIs, even with difficult-to-detect organisms, is AD.

Figure 1.
Frangiamore and colleagues5 conducted a prospective study comparing patients with painful TSAs that required revision (n = 33). Patients were grouped based on objective clinical, laboratory, and histologic criteria of infection, which included preoperative clinical signs (swelling, sinus track, redness, drainage), elevated serum ESR or CRP, intraoperative gross findings (purulence, necrosis) and positive intraoperative frozen section. Synovial fluid aspiration was obtained preoperatively or intraoperatively. Of the 33 patients, 11 patients met the authors criteria for suspected PJI prior to final intraoperative culture results; 22 patients did not. Of the samples taken intraoperatively, Propionibacterium acnes was the most commonly isolated organism (9 cases), followed by coagulase-negative Staphylococcus (4 cases). AD demonstrated a sensitivity of 63%, specificity of 95%, +LR ratio of 12.1, and –LR ratio of 0.38. AD showed a strong association with growth of P acnes in the infected group (median signal-to-cutoff ratio, 4.45) compared with the noninfected group (median signal-to-cutoff ratio, 1.33) as well as strong associations with frozen section histology. Frangiamore and colleagues5 concluded that the use of AD in diagnosing PJIs with difficult-to-detect organisms was promising.

AD has shown even more impressive results as a biomarker for PJI in the hip and knee, where infection with low virulence organism is less common. In 2014, Deirmengian and colleagues6 conducted a prospective clinical study of 149 patients who underwent revision THA or TKA for aseptic loosening (n = 112) or PJI (n = 37) as defined by MSIS criteria. Aseptic loosening was diagnosed when there was no identifiable reason for pain, and MSIS criteria were not met. Synovial fluid aspirates were collected before or during surgery. AD correctly identified 143 of the 149 patients with confirmed infection with sensitivity of 97.3% (95% confidence interval [CI], 85.8%-99.6%) and specificity of 95.5% (95% CI, 89.9%-98.5%). Similarly, Bingham and colleagues7 conducted a retrospective clinical study of 61 assays done on 57 patients who underwent revision arthroplasty for PJI as defined by MSIS criteria. Synovial fluid aspirates were collected before or during surgery. AD correctly identified all 19 PJIs with sensitivity of 100% (95% CI, 79%-100%) and specificity of 95% (95% CI, 83%-99%). Sensitivity and specificity of the AD assay more accurately predicted infection than synovial cell count or serum ESR/CRP level did.

These results are supported by another prospective study by Deirmengian and colleagues8 differentiating aseptic failures and PJIs in THA or TKA. The sensitivity and specificity of AD in diagnosing PJI were 100% (95% CI, 85.05%-100%).

Table 1.
Synovial fluid was collected from 46 patients before and during surgery: 23 with PJI and 23 with aseptic failure as defined by MSIS criteria. All patients were tested for AD or LE. Of the 23 PJI cases, 18 were associated with a positive culture, with the most common organism being Staphylococcus epidermidis (n = 6). AD correctly diagnosed 100% of PJIs, whereas LE correctly diagnosed only 78%; the difference was statistically significant (P < 0.001).

In a prospective study of 102 patients who underwent revision THA or TKA secondary to aseptic loosening or PJI, Frangiamore and colleaguesalso demonstrated the value of AD as a diagnostic for PJI in primary and revision hip and knee arthroplasty.
Figure 2.
Based on MSIS criteria, 54 cases were classified as non-infected first-stage revision, 24 as infected first-stage revision, 35 as non-infected second-stage revision, and 3 as infected second-stage revision. For patients with first-stage revision THA or TKA, AD had sensitivity of 100% (95% CI, 86%-100%), specificity of 98% (95% CI, 90%-100%), PPV of 96% (95% CI, 80%-99%), and NPV of 100% (95% CI, 93%-100%). +LR was 54 (95% CI, 8-376), and –LR was 0. When combining all patients, AD outperformed serum ESR and CRP and synovial cell count as a biomarker for predicting PJI.

Table 1 and Figure 2 provide a concise review of the findings of each study.

Interleukin 6

Another synovial fluid biomarker that has shown promise in PJI diagnosis is IL-6. In 2015, Frangiamore and colleagues10 conducted a prospective clinical study of 32 patients who underwent revision TSA. Synovial fluid aspiration was obtained before or during surgery. MSIS criteria were used to establish the diagnosis of PJI. IL-6 had sensitivity of 87% and specificity of 90%, with +LR of 8.45 and –LR of 0.15 in predicting PJI. Synovial fluid IL-6 had strong associations with frozen section histology and growth of P acnes. Frangiamore and colleagues10 recommended an ideal IL-6 cutoff of 359.1 pg/mL and reported that, though not as accurate as AD, synovial fluid IL-6 levels can help predict positive cultures in patients who undergo revision TSA.

Lenski and Scherer11 conducted another retrospective clinical study of the diagnostic value of IL-6 in PJI.

Table 2.
Revision total joint arthroplasty (TJA) was performed for aseptic loosening (38 patients) or PJI (31 patients) based on criteria modeled after MSIS criteria. All joints were aspirated for synovial fluid IL-6, synovial fluid lactate dehydrogenase, synovial fluid glucose, synovial fluid lactate, synovial fluid WBCs, and serum CRP. IL-6 had sensitivity of 90.9%, specificity of 94.7%, +LR of 17.27, and –LR of 0.10. An optimal IL-6 cutoff value of 30,750 pg/mL was determined.

Randau and colleagues12 conducted a prospective clinical study of 120 patients who presented with painful THA or TKA and underwent revision for PJI, aseptic failure, or aseptic revision without signs of infection or loosening. Synovial fluid aspirate was collected before or during surgery.
Figure 3.
PJI was diagnosed with the modified MSIS criteria. IL-6 sensitivity and specificity depended on the cutoff value. A cutoff of >2100 pg/mL yielded sensitivity of 62.5% (95% CI, 43.69%-78.9%) and specificity of 85.71% (95% CI, 71.46%-94.57%), and a cutoff of >9000 pg/mL yielded sensitivity of 46.9% (95% CI, 29.09%-65.26%) and specificity of 97.62% (95% CI, 87.43%-99.94%). The authors concluded that synovial IL-6 is a more accurate marker than synovial WBC count.

Table 2 and Figure 3 provide a concise review of the findings of each study.

Leukocyte Esterase

LE strips are an inexpensive screening tool for PJI, according to some studies. In a prospective clinical study of 364 endoprosthetic joint (hip, knee, shoulder) interventions, Guenther and colleagues13 collected synovial fluid before surgery. Samples were tested with graded LE strips using PJI criteria set by the authors. Results were correlated with preoperative synovial fluid aspirations, serum CRP level, serum WBC count, and intraoperative histopathologic and microbiological findings. Whereas 293 (93.31%) of the 314 aseptic cases had negative test strip readings, 100% of the 50 infected cases were positive. LE had sensitivity of 100%, specificity of 96.5%, PPV of 82%, and NPV of 100%.

Wetters et al14 performed a prospective clinical study on 223 patients who underwent TKAs and THAs for suspected PJI based on having criteria defined by the authors of the study. Synovial fluid samples were collected either preoperatively or intraoperatively.

Table 3.
Using a synovial fluid WBC >3k WBC per microliter, the sensitivity, specificity, PPV, and NPV were 92.9%, 88.8%, 75%, and 97.2%, respectively. Using positive cultures or the presence of a draining sinus tract, the sensitivity, specificity, PPV, and NPV were 93.3%, 77%, 37.8%, and 98.7%, respectively. Of note, the most common organism found at the time of revision for infection was coagulase-negative Staphylococcus (6 out of 39).

Other authors have reported different findings that LE is an unreliable marker in PJI diagnosis. In one prospective clinical study of 85 patients who underwent primary or revision TSA, synovial fluid was collected during surgery.15 According to MSIS criteria, only 5 positive LE results predicted PJI among 21 primary and revision patients with positive cultures. Of the 7 revision patients who met the MSIS criteria for PJI, only 2 had a positive LE test. LE had sensitivity of 28.6%, specificity of 63.6%, PPV of 28.6%, and NPV of 87.5%. Six of the 7 revision patients grew P acnes. These results showed that LE was unreliable in detecting shoulder PJI.15

In another prospective clinical study, Tischler and colleagues16 enrolled 189 patients who underwent revision TKA or THA for aseptic failure or PJI as defined by the MSIS criteria. Synovial fluid was collected intraoperatively.
Figure 4.
Fifteen of the 52 patients with a MSIS defined PJI had positive cultures with the most common organism being coagulase-negative Staphylococcus (7). Two thresholds were used to consider a positive LE test. When using the first threshold that had a lower acceptance level for positivity, the sensitivity, specificity, PPV, and NPV were 79.2% (95% CI, 65.9%-89.2%), 80.8 (95% CI, 73.3%-87.1%), 61.8% (95% CI, 49.2%-73.3%), and 90.1% (95% CI, 84.3%-95.4%), respectively. When using the higher threshold, the sensitivity, specificity, PPV, and NPV were 66% (95% CI, 51.7%-78.5%), 97.1% (95% CI, 92.6%-99.2%), 89.7% (95% CI, 75.8%-97.1%), and 88% (95% CI, 81.7%-92.7%), respectively. Once again, these results were in line with LE not being a reliable marker in diagnosing PJI.

Table 3 and Figure 4 provide a concise review of the findings of each study.

 

 

Polymerase Chain Reaction

Studies have found that PCR analysis of synovial fluid is effective in detecting bacteria on the surface of implants removed during revision arthroplasties. Comparison of the 16S rRNA gene sequences of bacterial genomes showed a diverse range of bacterial species within biofilms on the surface of clinical and subclinical infections.17 These findings, along with those of other studies, suggest that PCR analysis of synovial fluid is useful in diagnosing PJI and identifying organisms and their sensitivities to antibiotics.

Gallo and colleagues18 performed a prospective clinical study on 115 patients who underwent revision TKAs or THAs. Synovial fluid was collected intraoperatively. PCR assays targeting the 16S rDNA were carried out on 101 patients. PJIs were classified based on criteria of the authors of this study, of which there were 42. The sensitivity, specificity, PPV, NPV, +LR, and -LR for PCR were 71.4% (95% CI, 61.5%-75.5%), 97% (95% CI, 91.7%-99.1%), 92.6% (95% CI, 79.8%-97.9%), 86.5% (95% CI, 81.8%-88.4%), 23.6 (95% CI, 5.9%-93.8%), and 0.29 (95% CI, 0.17%-0.49%), respectively. Of note the most common organism detected in 42 PJIs was coagulase-negative Staphylococcus.

Marin and colleagues19 conducted a prospective study of 122 patients who underwent arthroplasty for suspected infection or aseptic loosening as defined by the authors’ clinicohistopathologic criteria. Synovial fluid and biopsy specimens were collected during surgery, and 40 patients met the infection criteria. The authors concluded that 16S PCR is more specific and has better PPV than culture does as one positive 16S PCR resulted in a specificity and PPV of PJI of 96.3% and 91.7%, respectively. However, they noted that culture was more sensitive in diagnosing PJI.

Jacovides and colleagues20 conducted a prospective study on 82 patients undergoing primary TKA, revision TKA, and revision THA.

Table 4.
The synovial fluid aspirate was collected intraoperatively. PJI was diagnosed based on study specific criteria, which was a combination of clinical suspicion and standard laboratory tests (ESR, CRP, cell count and tissue culture). Using the study’s criteria, PJI was diagnosed in 23 samples, and 57 samples were diagnosed as uninfected. When 1 or more species were present, the PCR-Electrospray Ionization Mass Spectrometry (PCR-ESI/MS) yielded a sensitivity, specificity, PPV, and NPV value of 95.7%, 12.3%, 30.6%, and 87.5%, respectively.

The low PCR sensitivities reported in the literature were explained in a review by Hartley and Harris.21 They wrote that BR 16S rDNA and sequencing of PJI samples inherently have low sensitivity because of the contamination that can occur from the PCR reagents themselves or from sample mishandling. Techniques that address contaminant (extraneous DNA) removal, such as ultraviolet irradiation and DNase treatment, reduce Taq DNA polymerase activity, which reduces PCR sensitivity.
Figure 5.
The simplest way to avoid the effects of “low-level contaminants” is to decrease the number of PCR cycles, which also reduces sensitivity. However, loss of contaminants has resulted in increased specificities in studies that have used BR 16S rDNA PCR. The authors also stated that, when PCR incorporates cloning and sequencing, mass spectroscopic detection, or species-specific PCR, sensitivity is higher with increased contamination.

Table 4 and Figure 5 provide a concise review of the findings of each study.

Discussion

Although there is no gold standard for the diagnosis of PJIs, several clinical and laboratory criteria guidelines are currently used to help clinicians diagnose infections of prosthetic joints. However, despite standardization of diagnostic criteria, PJI continue to be a diagnostic challenge.

Table 5.
Diagnosing PJI has been difficult for several reasons, including lack of highly sensitive and specific clinical findings and laboratory tests, as well as difficulty in culturing organisms, particularly fastidious organisms. More effective diagnostic tools are needed to avoid failing to accurately detect infections which lead to poor outcomes in patients who undergo TJA. Moreover, PJIs with low-virulence organisms are especially troublesome, as they can present with normal serum inflammatory markers and negative synovial fluid analysis and cultures from joint aspiration.22

AD is a highly sensitive and specific synovial fluid biomarker in detecting common PJIs.

Table 6.
AD has a higher sensitivity and specificity for detecting PJI, as compared to synovial fluid cell count, culture, ESR, and CRP.15,16,19 Moreover, it has been shown that as many as 38% to 88% of patients diagnosed with aseptic loosening have PJIs with low-grade organisms,23,24 such as Coagulase-negative S acnes and P acnes. Several studies reviewed in this article have demonstrated that AD can detect infections with these low virulence organisms. Our systematic review supports the claim that AD can potentially be used as a screening tool for PJI with common, as well as difficult-to-detect, organisms.
Figure 6.
Our findings also support the claim that novel synovial fluid biomarkers have the potential to become of significant diagnostic use and help improve the ability to diagnose PJIs when combined with current laboratory and clinical diagnostic criteria.

In summary, 5 AD studies5-9 had sensitivity ranging from 63% to 100% and specificity ranging from 95% to 100%; 3 IL-6 studies10-12 had sensitivity ranging from 46.8% to 90.9% and specificity ranging from 85.7% to 97.6%; 4 LE studies13-16 had sensitivity ranging from 28.6% to 100% and specificity ranging from 63.6% to 96.5%; and 3 PCR studies18-20 had sensitivity ranging from 67.1% to 95.7% and specificity ranging from 12.3% to 97.8%. Sensitivity and specificity were consistently higher for AD than for IL-6, LE, and PCR, though there was significant overlap, heterogeneity, and variation across all the included studies.
Figure 7.
Moreover, the outlier study with the lowest sensitivity for AD (63%) was in patients undergoing TSA, where P acnes infection is more common and has been reported to be more difficult to detect by standard diagnostic tools. Tables 5, 6 and Figures 6, 7 provide the data for each of these studies.

Although the overall incidence of PJI is low, infected revisions remain a substantial financial burden to hospitals, as annual costs of infected revisions is estimated to exceed $1.62 billion by 2020.25 The usefulness of novel biomarkers and PCR in diagnosing PJI can be found in their ability to diagnose infections and facilitate appropriate early treatment. Several of these tests are readily available commercially and have the potential to be cost-effective diagnostic tools. The price to perform an AD test from Synovasure TM (Zimmer Biomet) ranges from $93 to $143. LE also provides an economic option for diagnosing PJI, as LE strips are commercially available for the cost of about 25 cents. PCR has also become an economic option, as costs can average $15.50 per sample extraction or PCR assay and $42.50 per amplicon sequence as reported in a study by Vandercam and colleagues.26 Future studies are needed to determine a diagnostic algorithm which incorporates these novel synovial markers to improve diagnostic accuracy of PJI in the most cost effective manner.

The current literature supports that AD can potentially be used to screen for PJI. Our findings suggest novel synovial fluid biomarkers may become of significant diagnostic use when combined with current laboratory and clinical diagnostic criteria. We recommend use of AD in cases in which pain, stiffness, and poor TJA outcome cannot be explained by errors in surgical technique, and infection is suspected despite MSIS criteria not being met.

The studies reviewed in this manuscript were limited in that none presented level I evidence (12 had level II evidence, and 3 had level III evidence), and there was significant heterogeneity (some studies used their own diagnostic standard, and others used the MSIS criteria). Larger scale prospective studies comparing serum ESR/CRP level and synovial fluid analysis to novel synovial markers are needed.

Am J Orthop. 2017;46(4):190-198. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

References

1. Maradit Kremers H, Larson DR, Crowson CS, et al. Prevalence of total hip and knee replacement in the United States. J Bone Joint Surg Am. 2015;97(17):1386-1397.

2. Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89(4):780-785.

3. Sharkey PF, Lichstein PM, Shen C, Tokarski AT, Parvizi J. Why are total knee arthroplasties failing today—has anything changed after 10 years? J Arthroplasty. 2014;29(9):1774-1778.

4. Butler-Wu SM, Burns EM, Pottinger PS, et al. Optimization of periprosthetic culture for diagnosis of Propionibacterium acnes prosthetic joint infection. J Clin Microbiol. 2011;49(7):2490-2495.

5. Frangiamore SJ, Saleh A, Grosso MJ, et al. α-Defensin as a predictor of periprosthetic shoulder infection. J Shoulder Elbow Surg. 2015;24(7):1021-1027.

6. Deirmengian C, Kardos K, Kilmartin P, Cameron A, Schiller K, Parvizi J. Combined measurement of synovial fluid α-defensin and C-reactive protein levels: highly accurate for diagnosing periprosthetic joint infection. J Bone Joint Surg Am. 2014;96(17):1439-1445.

7. Bingham J, Clarke H, Spangehl M, Schwartz A, Beauchamp C, Goldberg B. The alpha defensin-1 biomarker assay can be used to evaluate the potentially infected total joint arthroplasty. Clin Orthop Relat Res. 2014;472(12):4006-4009.

8. Deirmengian C, Kardos K, Kilmartin P, et al. The alpha-defensin test for periprosthetic joint infection outperforms the leukocyte esterase test strip. Clin Orthop Relat Res. 2015;473(1):198-203.

9. Frangiamore SJ, Gajewski ND, Saleh A, Farias-Kovac M, Barsoum WK, Higuera CA. α-Defensin accuracy to diagnose periprosthetic joint infection—best available test? J Arthroplasty. 2016;31(2):456-460.

10. Frangiamore SJ, Saleh A, Kovac MF, et al. Synovial fluid interleukin-6 as a predictor of periprosthetic shoulder infection. J Bone Joint Surg Am. 2015;97(1):63-70.

11. Lenski M, Scherer MA. Synovial IL-6 as inflammatory marker in periprosthetic joint infections. J Arthroplasty. 2014;29(6):1105-1109.

12. Randau TM, Friedrich MJ, Wimmer MD, et al. Interleukin-6 in serum and in synovial fluid enhances the differentiation between periprosthetic joint infection and aseptic loosening. PLoS One. 2014;9(2):e89045.

13. Guenther D, Kokenge T, Jacobs O, et al. Excluding infections in arthroplasty using leucocyte esterase test. Int Orthop. 2014;38(11):2385-2390.

14. Wetters NG, Berend KR, Lombardi AV, Morris MJ, Tucker TL, Della Valle CJ. Leukocyte esterase reagent strips for the rapid diagnosis of periprosthetic joint infection. J Arthroplasty. 2012;27(8 suppl):8-11.

15. Nelson GN, Paxton ES, Narzikul A, Williams G, Lazarus MD, Abboud JA. Leukocyte esterase in the diagnosis of shoulder periprosthetic joint infection. J Shoulder Elbow Surg. 2015;24(9):1421-1426.

16. Tischler EH, Cavanaugh PK, Parvizi J. Leukocyte esterase strip test: matched for Musculoskeletal Infection Society criteria. J Bone Joint Surg Am. 2014;96(22):1917-1920.

17. Dempsey KE, Riggio MP, Lennon A, et al. Identification of bacteria on the surface of clinically infected and non-infected prosthetic hip joints removed during revision arthroplasties by 16S rRNA gene sequencing and by microbiological culture. Arthritis Res Ther. 2007;9(3):R46.

18. Gallo J, Kolar M, Dendis M, et al. Culture and PCR analysis of joint fluid in the diagnosis of prosthetic joint infection. New Microbiol. 2008;31(1):97-104.

19. Marin M, Garcia-Lechuz JM, Alonso P, et al. Role of universal 16S rRNA gene PCR and sequencing in diagnosis of prosthetic joint infection. J Clin Microbiol. 2012;50(3):583-589.

20. Jacovides CL, Kreft R, Adeli B, Hozack B, Ehrlich GD, Parvizi J. Successful identification of pathogens by polymerase chain reaction (PCR)-based electron spray ionization time-of-flight mass spectrometry (ESI-TOF-MS) in culture-negative periprosthetic joint infection. J Bone Joint Surg Am. 2012;94(24):2247-2254.

21. Hartley JC, Harris KA. Molecular techniques for diagnosing prosthetic joint infections. J Antimicrob Chemother. 2014;69(suppl 1):i21-i24.

22. Zappe B, Graf S, Ochsner PE, Zimmerli W, Sendi P. Propionibacterium spp. in prosthetic joint infections: a diagnostic challenge. Arch Orthop Trauma Surg. 2008;128(10):1039-1046.

23. Rasouli MR, Harandi AA, Adeli B, Purtill JJ, Parvizi J. Revision total knee arthroplasty: infection should be ruled out in all cases. J Arthroplasty. 2012;27(6):1239-1243.e1-e2.

24. Hunt RW, Bond MJ, Pater GD. Psychological responses to cancer: a case for cancer support groups. Community Health Stud. 1990;14(1):35-38.

25. Kurtz SM, Lau E, Schmier J, Ong KL, Zhao K, Parvizi J. Infection burden for hip and knee arthroplasty in the United States. J Arthroplasty. 2008;23(7):984-991.

26. Vandercam B, Jeumont S, Cornu O, et al. Amplification-based DNA analysis in the diagnosis of prosthetic joint infection. J Mol Diagn. 2008;10(6):537-543.

References

1. Maradit Kremers H, Larson DR, Crowson CS, et al. Prevalence of total hip and knee replacement in the United States. J Bone Joint Surg Am. 2015;97(17):1386-1397.

2. Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89(4):780-785.

3. Sharkey PF, Lichstein PM, Shen C, Tokarski AT, Parvizi J. Why are total knee arthroplasties failing today—has anything changed after 10 years? J Arthroplasty. 2014;29(9):1774-1778.

4. Butler-Wu SM, Burns EM, Pottinger PS, et al. Optimization of periprosthetic culture for diagnosis of Propionibacterium acnes prosthetic joint infection. J Clin Microbiol. 2011;49(7):2490-2495.

5. Frangiamore SJ, Saleh A, Grosso MJ, et al. α-Defensin as a predictor of periprosthetic shoulder infection. J Shoulder Elbow Surg. 2015;24(7):1021-1027.

6. Deirmengian C, Kardos K, Kilmartin P, Cameron A, Schiller K, Parvizi J. Combined measurement of synovial fluid α-defensin and C-reactive protein levels: highly accurate for diagnosing periprosthetic joint infection. J Bone Joint Surg Am. 2014;96(17):1439-1445.

7. Bingham J, Clarke H, Spangehl M, Schwartz A, Beauchamp C, Goldberg B. The alpha defensin-1 biomarker assay can be used to evaluate the potentially infected total joint arthroplasty. Clin Orthop Relat Res. 2014;472(12):4006-4009.

8. Deirmengian C, Kardos K, Kilmartin P, et al. The alpha-defensin test for periprosthetic joint infection outperforms the leukocyte esterase test strip. Clin Orthop Relat Res. 2015;473(1):198-203.

9. Frangiamore SJ, Gajewski ND, Saleh A, Farias-Kovac M, Barsoum WK, Higuera CA. α-Defensin accuracy to diagnose periprosthetic joint infection—best available test? J Arthroplasty. 2016;31(2):456-460.

10. Frangiamore SJ, Saleh A, Kovac MF, et al. Synovial fluid interleukin-6 as a predictor of periprosthetic shoulder infection. J Bone Joint Surg Am. 2015;97(1):63-70.

11. Lenski M, Scherer MA. Synovial IL-6 as inflammatory marker in periprosthetic joint infections. J Arthroplasty. 2014;29(6):1105-1109.

12. Randau TM, Friedrich MJ, Wimmer MD, et al. Interleukin-6 in serum and in synovial fluid enhances the differentiation between periprosthetic joint infection and aseptic loosening. PLoS One. 2014;9(2):e89045.

13. Guenther D, Kokenge T, Jacobs O, et al. Excluding infections in arthroplasty using leucocyte esterase test. Int Orthop. 2014;38(11):2385-2390.

14. Wetters NG, Berend KR, Lombardi AV, Morris MJ, Tucker TL, Della Valle CJ. Leukocyte esterase reagent strips for the rapid diagnosis of periprosthetic joint infection. J Arthroplasty. 2012;27(8 suppl):8-11.

15. Nelson GN, Paxton ES, Narzikul A, Williams G, Lazarus MD, Abboud JA. Leukocyte esterase in the diagnosis of shoulder periprosthetic joint infection. J Shoulder Elbow Surg. 2015;24(9):1421-1426.

16. Tischler EH, Cavanaugh PK, Parvizi J. Leukocyte esterase strip test: matched for Musculoskeletal Infection Society criteria. J Bone Joint Surg Am. 2014;96(22):1917-1920.

17. Dempsey KE, Riggio MP, Lennon A, et al. Identification of bacteria on the surface of clinically infected and non-infected prosthetic hip joints removed during revision arthroplasties by 16S rRNA gene sequencing and by microbiological culture. Arthritis Res Ther. 2007;9(3):R46.

18. Gallo J, Kolar M, Dendis M, et al. Culture and PCR analysis of joint fluid in the diagnosis of prosthetic joint infection. New Microbiol. 2008;31(1):97-104.

19. Marin M, Garcia-Lechuz JM, Alonso P, et al. Role of universal 16S rRNA gene PCR and sequencing in diagnosis of prosthetic joint infection. J Clin Microbiol. 2012;50(3):583-589.

20. Jacovides CL, Kreft R, Adeli B, Hozack B, Ehrlich GD, Parvizi J. Successful identification of pathogens by polymerase chain reaction (PCR)-based electron spray ionization time-of-flight mass spectrometry (ESI-TOF-MS) in culture-negative periprosthetic joint infection. J Bone Joint Surg Am. 2012;94(24):2247-2254.

21. Hartley JC, Harris KA. Molecular techniques for diagnosing prosthetic joint infections. J Antimicrob Chemother. 2014;69(suppl 1):i21-i24.

22. Zappe B, Graf S, Ochsner PE, Zimmerli W, Sendi P. Propionibacterium spp. in prosthetic joint infections: a diagnostic challenge. Arch Orthop Trauma Surg. 2008;128(10):1039-1046.

23. Rasouli MR, Harandi AA, Adeli B, Purtill JJ, Parvizi J. Revision total knee arthroplasty: infection should be ruled out in all cases. J Arthroplasty. 2012;27(6):1239-1243.e1-e2.

24. Hunt RW, Bond MJ, Pater GD. Psychological responses to cancer: a case for cancer support groups. Community Health Stud. 1990;14(1):35-38.

25. Kurtz SM, Lau E, Schmier J, Ong KL, Zhao K, Parvizi J. Infection burden for hip and knee arthroplasty in the United States. J Arthroplasty. 2008;23(7):984-991.

26. Vandercam B, Jeumont S, Cornu O, et al. Amplification-based DNA analysis in the diagnosis of prosthetic joint infection. J Mol Diagn. 2008;10(6):537-543.

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Short-Term Projected Use of Reverse Total Shoulder Arthroplasty in Proximal Humerus Fracture Cases Recorded in Humana’s National Private-Payer Database

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Short-Term Projected Use of Reverse Total Shoulder Arthroplasty in Proximal Humerus Fracture Cases Recorded in Humana’s National Private-Payer Database

Take-Home Points

  • RTSA is projected to triple by 2020.
  • RTSA for fracture indication anticipates a 4.9% compound quarterly growth rate.
  • RTSA is gaining in popularity likely due to unpredictable results of hemiarthroplasty in select patients.

Reverse total shoulder arthroplasty (RTSA) is an accepted treatment option for the pain and dysfunction associated with glenohumeral arthritis and severe rotator cuff pathology.1-3 Recently, it has been gaining acceptance as an alternative to hemiarthroplasty (HA) and open reduction and internal fixation (ORIF) in the surgical management of complex proximal humerus fractures (PHFs) in elderly patients.4-6 The advantages of RTSA over other PHF treatment options include a lower revision rate and superior range of motion.4,5

PHF remains one of the most common fracture pathologies in the United States.7 Given the country’s aging patient population, the popularity of RTSA likely will continue to increase.4-6 The release of supercomputer data from individual private-payer insurance providers provides an opportunity to investigate trends in the surgical management of PHFs and to formulate models for predicting use. In this study, we used a large private-payer database to analyze these trends over the period 2010 to 2014 and project RTSA use through 2020.

Methods

We used PearlDiver’s supercomputer application to search the Humana private-payer database to retrospectively identify cases of PHF treated with the index procedure of RTSA. PearlDiver, a publicly available national database compliant with HIPAA (Health Insurance Portability and Accountability Act of 1996), compiles private-payer records submitted by Humana. These records represent 100% of the orthopedics-related payer records within the dataset. The database includes International Classification of Diseases, Ninth Revision (ICD-9) codes and Current Procedural Terminology (CPT) codes from 2007 to 2014.

RTSA cases were identified by ICD-9 codes 81.80 and 81.88 and CPT code 23472. PHFs were identified by ICD-9, Clinical Modification (ICD-9-CM) codes 812.00, 812.01, 812.02, 812.03, 812.09, 812.10, 812.11, 812.12, 812.13, 812.19, and 812.20. Holt-Winters quarterly (Q) projection analysis was performed on the RTSA-PHF data from Q1-2010 through Q4-2020 (Figure).

Figure.
Compound quarterly growth rate (CQGR) was calculated as well. Linear regression analysis was performed to determine the goodness of fit (R2) of the known and projected study data. Age-based subgroup analysis was performed and the results reported as incidence.

Results

For the known study period Q1-2010 through Q3-2014, our search yielded 46,106 PHF cases, 4057 (8.8%) of which were surgically treated with RTSAs (Table 1).

Table 1.
Mean (SD) age of these RTSA patients was 75 (7) years. For the period Q4-2014 through Q4-2020, RTSAs for the surgical treatment of PHFs were projected to total 12,898. Combining the data for the known and projected periods (Q1-2010 through Q4-2020) produced an overall total of 16,955 cases. The known period’s CQGR was 6.5%, and the projected period’s CQGR was 2.8%, giving an overall CQGR of 4.6%.
Table 2.
Linear regression analysis revealed an R2 (coefficient of determination) of 0.94 for the known period and an R2 of 0.98 for the projected period, demonstrating strong goodness of fit for projection.

Age-based subgroup analysis revealed RTSA was performed primarily in the older-than-65 years patient population, with the highest percentage in the 70-to-74 years age group (24.4%), followed by the 75-to-79 years age group (21.6%) (Table 2).

Discussion

Use of RTSA for the management of complex PHFs has increased tremendously over the past several years. The primary results of our study showed an upward trend in RTSA use in the Humana population. CQGR was 6.5% from Q1-2010 through Q3-2014 (the number of RTSAs increased to 294 from 95). Based on the Holt-Winters projection analysis, CQGR was projected to be 2.8% through 2020 (339 RTSAs in Q4-2014 increasing to 664 RTSAs in Q4-2020), resulting in an overall 10-year CQGR of 4.6%.

Recent studies have shown RTSA to be a viable alternative to HA in patients with PHFs. It has been suggested that RTSAs may have more reliable clinical outcomes without a comparative increase in complication rates.1,8,9 HA has been associated with unpredictable motion, higher complication rates, and high rates of unsatisfactory results in patients older than 65 years.10-12 In addition, studies have found that, compared with HA and ORIF, RTSA produces superior range of motion.8,9 The reliability of clinical outcomes in the early transition to use of RTSA for complex fractures suggests that use of RTSA for PHF management is trending upward. Results of the present study showed a steady increase in RTSA use. This trend is further supported by a recent study finding on national trends in RTSA use in PHF cases: 12.3% annual growth during the period 2000 to 2008.6Our study results showed a continued steady quarterly increase in use of RTSA for PHFs, projected to triple by Q4-2020 (Table 1). The increasing popularity of RTSA may be attributable to its better clinical outcomes and to the procedural instruction given to newly trained orthopedic surgeons during residency. A recent study found a substantial increase in the use of RTSA for PHFs—from 2% in 2005 to 38% in 2012—among newly trained orthopedic surgeons.13 Another possible driver of the increase is cost. Although RTSA implant costs are often a multiple of the costs of other treatment options, different findings were reported in 2 recent studies that used quality-adjusted life-years (QALY) to determine RTSA cost-effectiveness. Coe and colleagues14 compared RTSA with HA and found RTSA to be cost-effective but highly dependent on implant cost. They determined that an implant cost of over $13,000 put RTSA cost-effectiveness at just under $100,000 QALY, whereas an implant cost of under $7000 brought QALY down to under $50,000. Renfree and colleagues15 used the same QALY benchmark but found RTSA to be at the highly cost-effective threshold of under $25,000 QALY.

Current literature recommends RTSA be performed primarily for elderly patients.1,2,16,17 Guery and colleagues2 suggested limiting RTSA to patients who are older than 70 years and have low functional demands. In 2 studies of RTSA use in complex humeral fractures, Gallinet and colleagues16,18 found an increased rate of scapular notching in younger patients and recommended restricting RTSA to patients 70 years or older. PHFs in patients older than 70 years often have more complex fracture patterns and poor-quality bone, which makes fracture healing more challenging in HA and ORIF settings. As tuberosity healing is crucial to functional outcomes of surgically treated PHFs, RTSA has been advanced as a more reliable option in patients in whom tuberosity healing is expected to be unreliable. The present study’s finding that 68.5% of the RTSA patients in the Humana population were older than 70 years further supports the literature’s emphasis on reserving RTSA for patients over 70 years.

This study had its limitations. The PearlDiver database depends on accurate ICD-9 and CPT coding, and there was potential for reporting bias. In addition, a new, specific ICD-9 code for RTSA was introduced in 2010 and may not have been immediately used; data reported during this time could have been affected. Furthermore, the data were primarily represented by a single private-payer organization (Humana) and therefore may not have fully encapsulated the entire US trend. Projection in this study did not account for US Census–predicted population growth and therefore may have underestimated the true projected use of RTSA for PHFs.

This study benefited from the completeness of the data used. PearlDiver represents 100% of Humana claims data, providing a large patient population for analysis and capturing data as recent as 2014. To our knowledge, no other large database studies have used such up-to-date data.

 

 

Conclusion

RTSA is becoming an increasingly popular treatment option for PHFs. Modest overall quarterly growth in use of RTSA for PHFs (CQGR, 4.6%) is predicted through Q4-2020. Number of RTSAs performed for PHF management is projected to more than triple by 2020.


Am J Orthop. 2017;46(1):E28-E31. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

References

1. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055.

2. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. J Bone Joint Surg Am. 2006;88(8):1742-1747.

3. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469.

4. Anakwenze OA, Zoller S, Ahmad CS, Levine WN. Reverse shoulder arthroplasty for acute proximal humerus fractures: a systematic review. J Shoulder Elbow Surg. 2014;23(4):e73-e80.

5. Sebastiá-Forcada E, Cebrián-Gómez R, Lizaur-Utrilla A, Gil-Guillén V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426.

6. Schairer WW, Nwachukwu BU, Lyman S, Craig EV, Gulotta LV. National utilization of reverse total shoulder arthroplasty in the United States. J Shoulder Elbow Surg. 2015;24(1):91-97.

7. Bell JE, Leung BC, Spratt KF, et al. Trends and variation in incidence, surgical treatment, and repeat surgery of proximal humeral fractures in the elderly. J Bone Joint Surg Am. 2011;93(2):121-131.

8. Chalmers PN, Slikker W 3rd, Mall NA, et al. Reverse total shoulder arthroplasty for acute proximal humeral fracture: comparison to open reduction-internal fixation and hemiarthroplasty. J Shoulder Elbow Surg. 2014;23(2):197-204.

9. Jones KJ, Dines DM, Gulotta L, Dines JS. Management of proximal humerus fractures utilizing reverse total shoulder arthroplasty. Curr Rev Musculoskelet Med. 2013;6(1):63-70.

10. Antuña SA, Sperling JW, Cofield RH. Shoulder hemiarthroplasty for acute fractures of the proximal humerus: a minimum five-year follow-up. J Shoulder Elbow Surg. 2008;17(2):202-209.

11. Boileau P, Krishnan SG, Tinsi L, Walch G, Coste JS, Molé D. Tuberosity malposition and migration: reasons for poor outcomes after hemiarthroplasty for displaced fractures of the proximal humerus. J Shoulder Elbow Surg. 2002;11(5):401-412.

12. Goldman RT, Koval KJ, Cuomo F, Gallagher MA, Zuckerman JD. Functional outcome after humeral head replacement for acute three- and four-part proximal humeral fractures. J Shoulder Elbow Surg. 1995;4(2):81-86.

13. Acevedo DC, Mann T, Abboud JA, Getz C, Baumhauer JF, Voloshin I. Reverse total shoulder arthroplasty for the treatment of proximal humeral fractures: patterns of use among newly trained orthopedic surgeons. J Shoulder Elbow Surg. 2014;23(9):1363-1367.

14. Coe MP, Greiwe RM, Joshi R, et al. The cost-effectiveness of reverse total shoulder arthroplasty compared with hemiarthroplasty for rotator cuff tear arthropathy. J Shoulder Elbow Surg. 2012;21(10):1278-1288.

15. Renfree KJ, Hattrup SJ, Chang YH. Cost utility analysis of reverse total shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(12):1656-1661.

16. Gallinet D, Adam A, Gasse N, Rochet S, Obert L. Improvement in shoulder rotation in complex shoulder fractures treated by reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(1):38-44.

17. Walch G, Bacle G, Lädermann A, Nové-Josserand L, Smithers CJ. Do the indications, results, and complications of reverse shoulder arthroplasty change with surgeon’s experience? J Shoulder Elbow Surg. 2012;21(11):1470-1477.

18. Gallinet D, Clappaz P, Garbuio P, Tropet Y, Obert L. Three or four parts complex proximal humerus fractures: hemiarthroplasty versus reverse prosthesis: a comparative study of 40 cases. Orthop Traumatol Surg Res. 2009;95(1):48-55.

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Take-Home Points

  • RTSA is projected to triple by 2020.
  • RTSA for fracture indication anticipates a 4.9% compound quarterly growth rate.
  • RTSA is gaining in popularity likely due to unpredictable results of hemiarthroplasty in select patients.

Reverse total shoulder arthroplasty (RTSA) is an accepted treatment option for the pain and dysfunction associated with glenohumeral arthritis and severe rotator cuff pathology.1-3 Recently, it has been gaining acceptance as an alternative to hemiarthroplasty (HA) and open reduction and internal fixation (ORIF) in the surgical management of complex proximal humerus fractures (PHFs) in elderly patients.4-6 The advantages of RTSA over other PHF treatment options include a lower revision rate and superior range of motion.4,5

PHF remains one of the most common fracture pathologies in the United States.7 Given the country’s aging patient population, the popularity of RTSA likely will continue to increase.4-6 The release of supercomputer data from individual private-payer insurance providers provides an opportunity to investigate trends in the surgical management of PHFs and to formulate models for predicting use. In this study, we used a large private-payer database to analyze these trends over the period 2010 to 2014 and project RTSA use through 2020.

Methods

We used PearlDiver’s supercomputer application to search the Humana private-payer database to retrospectively identify cases of PHF treated with the index procedure of RTSA. PearlDiver, a publicly available national database compliant with HIPAA (Health Insurance Portability and Accountability Act of 1996), compiles private-payer records submitted by Humana. These records represent 100% of the orthopedics-related payer records within the dataset. The database includes International Classification of Diseases, Ninth Revision (ICD-9) codes and Current Procedural Terminology (CPT) codes from 2007 to 2014.

RTSA cases were identified by ICD-9 codes 81.80 and 81.88 and CPT code 23472. PHFs were identified by ICD-9, Clinical Modification (ICD-9-CM) codes 812.00, 812.01, 812.02, 812.03, 812.09, 812.10, 812.11, 812.12, 812.13, 812.19, and 812.20. Holt-Winters quarterly (Q) projection analysis was performed on the RTSA-PHF data from Q1-2010 through Q4-2020 (Figure).

Figure.
Compound quarterly growth rate (CQGR) was calculated as well. Linear regression analysis was performed to determine the goodness of fit (R2) of the known and projected study data. Age-based subgroup analysis was performed and the results reported as incidence.

Results

For the known study period Q1-2010 through Q3-2014, our search yielded 46,106 PHF cases, 4057 (8.8%) of which were surgically treated with RTSAs (Table 1).

Table 1.
Mean (SD) age of these RTSA patients was 75 (7) years. For the period Q4-2014 through Q4-2020, RTSAs for the surgical treatment of PHFs were projected to total 12,898. Combining the data for the known and projected periods (Q1-2010 through Q4-2020) produced an overall total of 16,955 cases. The known period’s CQGR was 6.5%, and the projected period’s CQGR was 2.8%, giving an overall CQGR of 4.6%.
Table 2.
Linear regression analysis revealed an R2 (coefficient of determination) of 0.94 for the known period and an R2 of 0.98 for the projected period, demonstrating strong goodness of fit for projection.

Age-based subgroup analysis revealed RTSA was performed primarily in the older-than-65 years patient population, with the highest percentage in the 70-to-74 years age group (24.4%), followed by the 75-to-79 years age group (21.6%) (Table 2).

Discussion

Use of RTSA for the management of complex PHFs has increased tremendously over the past several years. The primary results of our study showed an upward trend in RTSA use in the Humana population. CQGR was 6.5% from Q1-2010 through Q3-2014 (the number of RTSAs increased to 294 from 95). Based on the Holt-Winters projection analysis, CQGR was projected to be 2.8% through 2020 (339 RTSAs in Q4-2014 increasing to 664 RTSAs in Q4-2020), resulting in an overall 10-year CQGR of 4.6%.

Recent studies have shown RTSA to be a viable alternative to HA in patients with PHFs. It has been suggested that RTSAs may have more reliable clinical outcomes without a comparative increase in complication rates.1,8,9 HA has been associated with unpredictable motion, higher complication rates, and high rates of unsatisfactory results in patients older than 65 years.10-12 In addition, studies have found that, compared with HA and ORIF, RTSA produces superior range of motion.8,9 The reliability of clinical outcomes in the early transition to use of RTSA for complex fractures suggests that use of RTSA for PHF management is trending upward. Results of the present study showed a steady increase in RTSA use. This trend is further supported by a recent study finding on national trends in RTSA use in PHF cases: 12.3% annual growth during the period 2000 to 2008.6Our study results showed a continued steady quarterly increase in use of RTSA for PHFs, projected to triple by Q4-2020 (Table 1). The increasing popularity of RTSA may be attributable to its better clinical outcomes and to the procedural instruction given to newly trained orthopedic surgeons during residency. A recent study found a substantial increase in the use of RTSA for PHFs—from 2% in 2005 to 38% in 2012—among newly trained orthopedic surgeons.13 Another possible driver of the increase is cost. Although RTSA implant costs are often a multiple of the costs of other treatment options, different findings were reported in 2 recent studies that used quality-adjusted life-years (QALY) to determine RTSA cost-effectiveness. Coe and colleagues14 compared RTSA with HA and found RTSA to be cost-effective but highly dependent on implant cost. They determined that an implant cost of over $13,000 put RTSA cost-effectiveness at just under $100,000 QALY, whereas an implant cost of under $7000 brought QALY down to under $50,000. Renfree and colleagues15 used the same QALY benchmark but found RTSA to be at the highly cost-effective threshold of under $25,000 QALY.

Current literature recommends RTSA be performed primarily for elderly patients.1,2,16,17 Guery and colleagues2 suggested limiting RTSA to patients who are older than 70 years and have low functional demands. In 2 studies of RTSA use in complex humeral fractures, Gallinet and colleagues16,18 found an increased rate of scapular notching in younger patients and recommended restricting RTSA to patients 70 years or older. PHFs in patients older than 70 years often have more complex fracture patterns and poor-quality bone, which makes fracture healing more challenging in HA and ORIF settings. As tuberosity healing is crucial to functional outcomes of surgically treated PHFs, RTSA has been advanced as a more reliable option in patients in whom tuberosity healing is expected to be unreliable. The present study’s finding that 68.5% of the RTSA patients in the Humana population were older than 70 years further supports the literature’s emphasis on reserving RTSA for patients over 70 years.

This study had its limitations. The PearlDiver database depends on accurate ICD-9 and CPT coding, and there was potential for reporting bias. In addition, a new, specific ICD-9 code for RTSA was introduced in 2010 and may not have been immediately used; data reported during this time could have been affected. Furthermore, the data were primarily represented by a single private-payer organization (Humana) and therefore may not have fully encapsulated the entire US trend. Projection in this study did not account for US Census–predicted population growth and therefore may have underestimated the true projected use of RTSA for PHFs.

This study benefited from the completeness of the data used. PearlDiver represents 100% of Humana claims data, providing a large patient population for analysis and capturing data as recent as 2014. To our knowledge, no other large database studies have used such up-to-date data.

 

 

Conclusion

RTSA is becoming an increasingly popular treatment option for PHFs. Modest overall quarterly growth in use of RTSA for PHFs (CQGR, 4.6%) is predicted through Q4-2020. Number of RTSAs performed for PHF management is projected to more than triple by 2020.


Am J Orthop. 2017;46(1):E28-E31. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

Take-Home Points

  • RTSA is projected to triple by 2020.
  • RTSA for fracture indication anticipates a 4.9% compound quarterly growth rate.
  • RTSA is gaining in popularity likely due to unpredictable results of hemiarthroplasty in select patients.

Reverse total shoulder arthroplasty (RTSA) is an accepted treatment option for the pain and dysfunction associated with glenohumeral arthritis and severe rotator cuff pathology.1-3 Recently, it has been gaining acceptance as an alternative to hemiarthroplasty (HA) and open reduction and internal fixation (ORIF) in the surgical management of complex proximal humerus fractures (PHFs) in elderly patients.4-6 The advantages of RTSA over other PHF treatment options include a lower revision rate and superior range of motion.4,5

PHF remains one of the most common fracture pathologies in the United States.7 Given the country’s aging patient population, the popularity of RTSA likely will continue to increase.4-6 The release of supercomputer data from individual private-payer insurance providers provides an opportunity to investigate trends in the surgical management of PHFs and to formulate models for predicting use. In this study, we used a large private-payer database to analyze these trends over the period 2010 to 2014 and project RTSA use through 2020.

Methods

We used PearlDiver’s supercomputer application to search the Humana private-payer database to retrospectively identify cases of PHF treated with the index procedure of RTSA. PearlDiver, a publicly available national database compliant with HIPAA (Health Insurance Portability and Accountability Act of 1996), compiles private-payer records submitted by Humana. These records represent 100% of the orthopedics-related payer records within the dataset. The database includes International Classification of Diseases, Ninth Revision (ICD-9) codes and Current Procedural Terminology (CPT) codes from 2007 to 2014.

RTSA cases were identified by ICD-9 codes 81.80 and 81.88 and CPT code 23472. PHFs were identified by ICD-9, Clinical Modification (ICD-9-CM) codes 812.00, 812.01, 812.02, 812.03, 812.09, 812.10, 812.11, 812.12, 812.13, 812.19, and 812.20. Holt-Winters quarterly (Q) projection analysis was performed on the RTSA-PHF data from Q1-2010 through Q4-2020 (Figure).

Figure.
Compound quarterly growth rate (CQGR) was calculated as well. Linear regression analysis was performed to determine the goodness of fit (R2) of the known and projected study data. Age-based subgroup analysis was performed and the results reported as incidence.

Results

For the known study period Q1-2010 through Q3-2014, our search yielded 46,106 PHF cases, 4057 (8.8%) of which were surgically treated with RTSAs (Table 1).

Table 1.
Mean (SD) age of these RTSA patients was 75 (7) years. For the period Q4-2014 through Q4-2020, RTSAs for the surgical treatment of PHFs were projected to total 12,898. Combining the data for the known and projected periods (Q1-2010 through Q4-2020) produced an overall total of 16,955 cases. The known period’s CQGR was 6.5%, and the projected period’s CQGR was 2.8%, giving an overall CQGR of 4.6%.
Table 2.
Linear regression analysis revealed an R2 (coefficient of determination) of 0.94 for the known period and an R2 of 0.98 for the projected period, demonstrating strong goodness of fit for projection.

Age-based subgroup analysis revealed RTSA was performed primarily in the older-than-65 years patient population, with the highest percentage in the 70-to-74 years age group (24.4%), followed by the 75-to-79 years age group (21.6%) (Table 2).

Discussion

Use of RTSA for the management of complex PHFs has increased tremendously over the past several years. The primary results of our study showed an upward trend in RTSA use in the Humana population. CQGR was 6.5% from Q1-2010 through Q3-2014 (the number of RTSAs increased to 294 from 95). Based on the Holt-Winters projection analysis, CQGR was projected to be 2.8% through 2020 (339 RTSAs in Q4-2014 increasing to 664 RTSAs in Q4-2020), resulting in an overall 10-year CQGR of 4.6%.

Recent studies have shown RTSA to be a viable alternative to HA in patients with PHFs. It has been suggested that RTSAs may have more reliable clinical outcomes without a comparative increase in complication rates.1,8,9 HA has been associated with unpredictable motion, higher complication rates, and high rates of unsatisfactory results in patients older than 65 years.10-12 In addition, studies have found that, compared with HA and ORIF, RTSA produces superior range of motion.8,9 The reliability of clinical outcomes in the early transition to use of RTSA for complex fractures suggests that use of RTSA for PHF management is trending upward. Results of the present study showed a steady increase in RTSA use. This trend is further supported by a recent study finding on national trends in RTSA use in PHF cases: 12.3% annual growth during the period 2000 to 2008.6Our study results showed a continued steady quarterly increase in use of RTSA for PHFs, projected to triple by Q4-2020 (Table 1). The increasing popularity of RTSA may be attributable to its better clinical outcomes and to the procedural instruction given to newly trained orthopedic surgeons during residency. A recent study found a substantial increase in the use of RTSA for PHFs—from 2% in 2005 to 38% in 2012—among newly trained orthopedic surgeons.13 Another possible driver of the increase is cost. Although RTSA implant costs are often a multiple of the costs of other treatment options, different findings were reported in 2 recent studies that used quality-adjusted life-years (QALY) to determine RTSA cost-effectiveness. Coe and colleagues14 compared RTSA with HA and found RTSA to be cost-effective but highly dependent on implant cost. They determined that an implant cost of over $13,000 put RTSA cost-effectiveness at just under $100,000 QALY, whereas an implant cost of under $7000 brought QALY down to under $50,000. Renfree and colleagues15 used the same QALY benchmark but found RTSA to be at the highly cost-effective threshold of under $25,000 QALY.

Current literature recommends RTSA be performed primarily for elderly patients.1,2,16,17 Guery and colleagues2 suggested limiting RTSA to patients who are older than 70 years and have low functional demands. In 2 studies of RTSA use in complex humeral fractures, Gallinet and colleagues16,18 found an increased rate of scapular notching in younger patients and recommended restricting RTSA to patients 70 years or older. PHFs in patients older than 70 years often have more complex fracture patterns and poor-quality bone, which makes fracture healing more challenging in HA and ORIF settings. As tuberosity healing is crucial to functional outcomes of surgically treated PHFs, RTSA has been advanced as a more reliable option in patients in whom tuberosity healing is expected to be unreliable. The present study’s finding that 68.5% of the RTSA patients in the Humana population were older than 70 years further supports the literature’s emphasis on reserving RTSA for patients over 70 years.

This study had its limitations. The PearlDiver database depends on accurate ICD-9 and CPT coding, and there was potential for reporting bias. In addition, a new, specific ICD-9 code for RTSA was introduced in 2010 and may not have been immediately used; data reported during this time could have been affected. Furthermore, the data were primarily represented by a single private-payer organization (Humana) and therefore may not have fully encapsulated the entire US trend. Projection in this study did not account for US Census–predicted population growth and therefore may have underestimated the true projected use of RTSA for PHFs.

This study benefited from the completeness of the data used. PearlDiver represents 100% of Humana claims data, providing a large patient population for analysis and capturing data as recent as 2014. To our knowledge, no other large database studies have used such up-to-date data.

 

 

Conclusion

RTSA is becoming an increasingly popular treatment option for PHFs. Modest overall quarterly growth in use of RTSA for PHFs (CQGR, 4.6%) is predicted through Q4-2020. Number of RTSAs performed for PHF management is projected to more than triple by 2020.


Am J Orthop. 2017;46(1):E28-E31. Copyright Frontline Medical Communications Inc. 2017. All rights reserved.

References

1. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055.

2. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. J Bone Joint Surg Am. 2006;88(8):1742-1747.

3. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469.

4. Anakwenze OA, Zoller S, Ahmad CS, Levine WN. Reverse shoulder arthroplasty for acute proximal humerus fractures: a systematic review. J Shoulder Elbow Surg. 2014;23(4):e73-e80.

5. Sebastiá-Forcada E, Cebrián-Gómez R, Lizaur-Utrilla A, Gil-Guillén V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426.

6. Schairer WW, Nwachukwu BU, Lyman S, Craig EV, Gulotta LV. National utilization of reverse total shoulder arthroplasty in the United States. J Shoulder Elbow Surg. 2015;24(1):91-97.

7. Bell JE, Leung BC, Spratt KF, et al. Trends and variation in incidence, surgical treatment, and repeat surgery of proximal humeral fractures in the elderly. J Bone Joint Surg Am. 2011;93(2):121-131.

8. Chalmers PN, Slikker W 3rd, Mall NA, et al. Reverse total shoulder arthroplasty for acute proximal humeral fracture: comparison to open reduction-internal fixation and hemiarthroplasty. J Shoulder Elbow Surg. 2014;23(2):197-204.

9. Jones KJ, Dines DM, Gulotta L, Dines JS. Management of proximal humerus fractures utilizing reverse total shoulder arthroplasty. Curr Rev Musculoskelet Med. 2013;6(1):63-70.

10. Antuña SA, Sperling JW, Cofield RH. Shoulder hemiarthroplasty for acute fractures of the proximal humerus: a minimum five-year follow-up. J Shoulder Elbow Surg. 2008;17(2):202-209.

11. Boileau P, Krishnan SG, Tinsi L, Walch G, Coste JS, Molé D. Tuberosity malposition and migration: reasons for poor outcomes after hemiarthroplasty for displaced fractures of the proximal humerus. J Shoulder Elbow Surg. 2002;11(5):401-412.

12. Goldman RT, Koval KJ, Cuomo F, Gallagher MA, Zuckerman JD. Functional outcome after humeral head replacement for acute three- and four-part proximal humeral fractures. J Shoulder Elbow Surg. 1995;4(2):81-86.

13. Acevedo DC, Mann T, Abboud JA, Getz C, Baumhauer JF, Voloshin I. Reverse total shoulder arthroplasty for the treatment of proximal humeral fractures: patterns of use among newly trained orthopedic surgeons. J Shoulder Elbow Surg. 2014;23(9):1363-1367.

14. Coe MP, Greiwe RM, Joshi R, et al. The cost-effectiveness of reverse total shoulder arthroplasty compared with hemiarthroplasty for rotator cuff tear arthropathy. J Shoulder Elbow Surg. 2012;21(10):1278-1288.

15. Renfree KJ, Hattrup SJ, Chang YH. Cost utility analysis of reverse total shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(12):1656-1661.

16. Gallinet D, Adam A, Gasse N, Rochet S, Obert L. Improvement in shoulder rotation in complex shoulder fractures treated by reverse shoulder arthroplasty. J Shoulder Elbow Surg. 2013;22(1):38-44.

17. Walch G, Bacle G, Lädermann A, Nové-Josserand L, Smithers CJ. Do the indications, results, and complications of reverse shoulder arthroplasty change with surgeon’s experience? J Shoulder Elbow Surg. 2012;21(11):1470-1477.

18. Gallinet D, Clappaz P, Garbuio P, Tropet Y, Obert L. Three or four parts complex proximal humerus fractures: hemiarthroplasty versus reverse prosthesis: a comparative study of 40 cases. Orthop Traumatol Surg Res. 2009;95(1):48-55.

References

1. Cuff DJ, Pupello DR. Comparison of hemiarthroplasty and reverse shoulder arthroplasty for the treatment of proximal humeral fractures in elderly patients. J Bone Joint Surg Am. 2013;95(22):2050-2055.

2. Guery J, Favard L, Sirveaux F, Oudet D, Mole D, Walch G. Reverse total shoulder arthroplasty. J Bone Joint Surg Am. 2006;88(8):1742-1747.

3. Lawrence TM, Ahmadi S, Sanchez-Sotelo J, Sperling JW, Cofield RH. Patient reported activities after reverse shoulder arthroplasty: part II. J Shoulder Elbow Surg. 2012;21(11):1464-1469.

4. Anakwenze OA, Zoller S, Ahmad CS, Levine WN. Reverse shoulder arthroplasty for acute proximal humerus fractures: a systematic review. J Shoulder Elbow Surg. 2014;23(4):e73-e80.

5. Sebastiá-Forcada E, Cebrián-Gómez R, Lizaur-Utrilla A, Gil-Guillén V. Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study. J Shoulder Elbow Surg. 2014;23(10):1419-1426.

6. Schairer WW, Nwachukwu BU, Lyman S, Craig EV, Gulotta LV. National utilization of reverse total shoulder arthroplasty in the United States. J Shoulder Elbow Surg. 2015;24(1):91-97.

7. Bell JE, Leung BC, Spratt KF, et al. Trends and variation in incidence, surgical treatment, and repeat surgery of proximal humeral fractures in the elderly. J Bone Joint Surg Am. 2011;93(2):121-131.

8. Chalmers PN, Slikker W 3rd, Mall NA, et al. Reverse total shoulder arthroplasty for acute proximal humeral fracture: comparison to open reduction-internal fixation and hemiarthroplasty. J Shoulder Elbow Surg. 2014;23(2):197-204.

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13. Acevedo DC, Mann T, Abboud JA, Getz C, Baumhauer JF, Voloshin I. Reverse total shoulder arthroplasty for the treatment of proximal humeral fractures: patterns of use among newly trained orthopedic surgeons. J Shoulder Elbow Surg. 2014;23(9):1363-1367.

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The American Journal of Orthopedics - 46(1)
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The American Journal of Orthopedics - 46(1)
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E28-E31
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E28-E31
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Short-Term Projected Use of Reverse Total Shoulder Arthroplasty in Proximal Humerus Fracture Cases Recorded in Humana’s National Private-Payer Database
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Short-Term Projected Use of Reverse Total Shoulder Arthroplasty in Proximal Humerus Fracture Cases Recorded in Humana’s National Private-Payer Database
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