Anatomic and reverse total shoulder arthroplasties (TSAs) have increasingly become common surgical procedures to treat glenohumeral osteoarthritis.1–3 However, like other surgical procedures, preexisting patient comorbidities such as fibromyalgia must be considered with surgical decision-making.
Fibromyalgia is a chronic musculoskeletal disorder characterized by generalized pain with reported tenderness, fatigue, sleep disorder, and/or cognitive difficulties.4,5 Fibromyalgia presents in middle age and has been reported to affect 2% to 8% of the general population with a female predominance.4,6,7 In addition, previous research has shown patients with fibromyalgia experience a substantial health burden due to loss of function, decreased productivity, decreased health-related quality of life, and associated concomitant comorbidities (such as anxiety, depression, and headache).8–13
With respect to orthopaedic surgery, a previous large database study by Morell et al14 showed patients with fibromyalgia who underwent total hip arthroplasty (THA) were at increased risk of longer hospital stays, opioid medication at both 90 days and 1 year postoperatively, and postoperative emergency department (ED) visits compared with non-fibromyalgia patients. Moreover, a prospective observational cohort study of 665 patients demonstrated increased fibromyalgia scores were associated with inferior total knee and hip arthroplasty outcomes even when fibromyalgia scores fell below the threshold for formal diagnosis.7 Yet, other studies have found patients with fibromyalgia to be at increased risk of poor postoperative outcomes and increased costs of care after total knee and hip arthroplasty.8–12
Despite the correlation of fibromyalgia with outcomes in other orthopaedic procedures, there is a paucity of literature describing the outcomes of patients with fibromyalgia undergoing TSA. A systematic review by D'Onghia et al15 demonstrated fibromyalgia to be highly prevalent in upper extremity orthopaedic surgery (ie, 10.1% of shoulder and elbow surgery patients found to have fibromyalgia) and to be associated with increased postoperative opioid consumption. Paralleling this finding, Khazi et al16 demonstrated fibromyalgia to be an independent risk factor of opioid use at 1 year after TSA in a large database study of 12,038 TSA patients. Finally, a previous systematic review highlighted the poor quality of available information and noted that while fibromyalgia seemed to negatively affect postoperative surgical outcomes, future studies were warranted to corroborate this link.17
Overall, these findings underscore the importance of elucidating the specific postoperative risks associated with patients with fibromyalgia undergoing TSA. As such, this study aimed to evaluate the risks of postoperative adverse outcomes for patients with fibromyalgia relative to matched controls without fibromyalgia who underwent TSA for osteoarthritis indications in a large, national database. We hypothesized that fibromyalgia, as a chronic musculoskeletal disorder, would increase the risk of 90-day complications after TSA.
Methods Study PopulationThis retrospective matched cohort study used data from the January 2016 to October 2022 M165 PearlDiver Mariner Patient Claims Database (PearlDiver Technologies). The M165 data set is a large, national administrative database that encompasses approximately 165 million patient lives that is commonly used for orthopaedic outcome studies.18–29 With the deidentified and aggregated nature of the output data, our institutional review board deemed studies using this data set exempt from review.
Patients undergoing TSA (anatomic or reverse) were identified using the Current Procedural Terminology code 23472 and the International Classification of Diseases, 10th revision (ICD-10) procedural codes 0RRJ0JZ, 0RRK0JZ, 0RRJ00Z, 0RRK00Z. Patients undergoing TSA with shoulder osteoarthritis as at least one of the indications on the date of the index procedure were selected with ICD diagnostic coding. Exclusion criteria included age younger than 18 years at the time of TSA, concomitant or up to 90 days before surgery diagnosis of shoulder infection, neoplasm, or fracture, and not being active in the database for at least 90 days postoperatively.
Patients with fibromyalgia were then identified based on ICD-10 code (M79.7) before surgery. Notably, data abstraction began from 2016 based on more specific fibromyalgia coding since the introduction of ICD-10.30 Additionally abstracted data included patient age, sex, and Elixhauser Comorbidity Index (ECI—a marker of overall morbidity burden).31,32 To account for potential differences in patient inclusion, those with and without fibromyalgia were matched in a 1:4 ratio for the remainder of the analyses.
Postoperative Adverse EventsNinety-day incidence of adverse events was identified using methods previously described.20,22,33–37 Severe adverse events (SAEs) were defined as at least one occurrence of the following: sepsis, cardiac events, surgical site infection (SSI), deep vein thrombosis (DVT), or pulmonary embolism (PE). Minor adverse events (MAEs) were defined as at least one occurrence of the following: transfusion, acute kidney injury (AKI), wound dehiscence, urinary tract infection (UTI), pneumonia, or hematoma. All adverse events (AAEs) were defined as at least one occurrence of either a severe or minor adverse event.
Ninety-day readmissions were identified based on the “ADMISSIONS” code within the PearlDiver interface using methods previously described.33,36,38 Ninety-day postoperative ED visits were identified. However, readmissions and ED visits were not included in the aggregated event groupings. Patients with a coded prescription history of opioids within 90 days before TSA were identified. Hospital length of stay (LOS) was also assessed.
For 5-year revision-free survival analysis, matched patients who were active in the database for at least 5 years after the index procedure were first selected. Then, time from the index TSA to subsequent total shoulder revision surgery was gathered based on Current Procedural Terminology and ICD-10 coding.
Statistical AnalysisFor initial comparison of those without versus with fibromyalgia, continuous variables (age and ECI) were compared using Student t-test and sex was compared using Pearson chi-square test. Matching 4:1 was then done based on these variables with the MATCH function directly in the PearlDiver interface. Patient characteristics were then compared as done for the initial comparisons.
For analysis of 90-day complications of the matched cohorts, univariable comparisons were conducted using Pearson chi-square test or Fisher exact test where appropriate. LOS was compared between matched groups using Student t-test. Multivariable logistic regression, controlling for patient age, sex, and ECI, was then conducted to determine independent odds ratios (ORs) and 95% confidence intervals (95% CIs) of 90-day adverse events of the fibromyalgia cohort relative to the non-fibromyalgia cohort.
Five-year survival to revision surgery of the matched cohorts was assessed with a Kaplan-Meier survival curve. Those without and with fibromyalgia were compared with a log-rank test, as previously described.39
Statistical analysis was conducted using PearlDiver Bellwether software (PearlDiver) and GraphPad Prism 9.4.1 (GraphPad Software). Statistical significance was defined as P < 0.05 for all comparisons.
Results Study PopulationOverall, 163,565 patients undergoing TSA for osteoarthritis were identified. Of these patients, 9,035 (5.52%) had fibromyalgia. Patients with fibromyalgia tended to be younger (64.9 ± 8.3 versus 69.5 ± 8.4) and more likely to be female (92.3% versus 51.8%) and had more comorbidities (ECI: 8.4 ± 4.0 versus 5.7 ± 3.6) than non-fibromyalgia study subjects (Table 1, P < 0.0001 for all).
Table 1 - Descriptive Characteristics of Adult Patients With and Without Fibromyalgia Who Underwent TSA for Osteoarthritis Factor Nonmatched TSA Groups P Matched TSA Groups (4:1) P Nonfibro Fibro Nonfibro Fibro Total 154,530 9,035 30,770 7,738 Age (mean ± SD) 69.5 ± 8.4 64.9 ± 8.3 <0.0001 66.2 ± 7.7 66.2 ± 7.7 0.5099 Sex <0.0001 1.0000 Female 80,081 (51.8%) 8,335 (92.3%) 28,040 (91.1%) 7,052 (91.1%) Male 74,449 (48.2%) 700 (7.7%) 2,730 (8.9%) 686 (8.9%) ECI (mean ± SD) 5.7 ± 3.6 8.4 ± 4.0 <0.0001 7.7 ± 3.7 7.7 ± 3.7 0.5038ECI = Elixhauser Comorbidity Index, Fibro = fibromyalgia, TSA = total shoulder arthroplasty
A 4:1 match controlling for age, sex, and ECI is shown.
Bold represents statistically significant data.
After 4:1 matching based on age, sex, and ECI, there were 30,770 patients without fibromyalgia and 7,738 patients with fibromyalgia (Table 1). Age, sex, and ECI were no longer markedly different between the matched cohorts.
Postoperative ComplicationsThe incidences of adverse events within 90 days of TSA for those with and without fibromyalgia are shown in Table 2. By univariable analysis, patients with fibromyalgia were more likely to experience AAEs, SAEs, MAEs, sepsis, SSI, cardiac events, DVT, PE, UTI, wound dehiscence, pneumonia, AKI, hematoma, transfusion, and ED visit. Patients with fibromyalgia also demonstrated longer hospital LOS and more preoperative opioid prescriptions within 90 days before surgery. All data are shown in Table 2, with P < 0.001 for all.
Table 2 - Univariable Analyses of 90-Day Complications, Readmissions, Emergency Department Visits, Hospital Length of Stay, and Opioid Prescriptions Within 90 Days Before Surgery Factor Nonfibro (n = 30,770) Fibro (n = 7,738) P Any adverse events 2,794 (9.1%) 1,891 (24.5%) <0.0001 Severe adverse events 959 (3.1%) 607 (7.8%) <0.0001 Sepsis 268 (0.9%) 207 (2.7%) <0.0001 Surgical site infection 137 (0.4%) 97 (1.3%) <0.0001 Cardiac events 159 (0.5%) 108 (1.4%) <0.0001 Deep vein thrombosis 332 (1.1%) 204 (2.6%) <0.0001 Pulmonary embolism 252 (0.8%) 127 (1.6%) <0.0001 Minor adverse events 2,209 (7.2%) 1,620 (20.9%) <0.0001 Urinary tract infection 1,048 (3.4%) 1,015 (13.1%) <0.0001 Wound dehiscence 98 (0.3%) 90 (1.2%) <0.0001 Pneumonia 531 (1.7%) 437 (5.6%) <0.0001 Acute kidney injury 622 (2.0%) 390 (5.0%) <0.0001 Hematoma 115 (0.4%) 59 (0.8%) <0.0001 Transfusion 152 (0.5%) 65 (0.8%) 0.0004 Readmissions 983 (3.2%) 281 (3.6%) 0.0585 ED visit 4,055 (13.2%) 2,563 (33.1%) <0.0001 Hospital length of stay (d) 5.70 ± 5.96 6.63 ± 6.96 <0.0001 Preoperative opioids 489 (1.6%) 213 (2.3%) <0.0001ED = emergency department, Fibro = fibromyalgia
Bold represents statistically significant data.
Multivariable analyses demonstrated patients with fibromyalgia were at independently increased ORs for the following individual 90-day adverse outcomes (in decreasing OR order): UTI (OR = 4.49), wound dehiscence (OR = 3.63), pneumonia (OR = 3.46), ED visit (OR = 3.45), sepsis (OR = 3.15), SSI (OR = 2.82), cardiac events (OR = 2.72), AKI (OR = 2.65), DVT (OR = 2.48), hematoma (OR = 2.03), and PE (OR = 2.01) (P < 0.05 for each). These individual complications contributed to the increased odds of aggregated MAEs (OR = 3.68), AAEs (OR = 3.48), and SAEs (OR = 2.68) (P < 0.05 for each). These results are presented in Table 3 and Figure 1.
Table 3 - Multivariable Analyses (Controlling for Age, Sex, and Elixhauser Comorbidity Index) of 90-Day Complications and Readmissions of Matched Cohorts Factor Fibro OR (95% CI) P All adverse events 3.48 (3.25-3.72) <0.0001 Severe adverse events 2.68 (2.41-2.98) <0.0001 Sepsis 3.15 (2.62-3.79) <0.0001 Surgical site infection 2.82 (2.16-3.65) <0.0001 Cardiac events 2.72 (2.12-3.48) <0.0001 Deep vein thrombosis 2.48 (2.08-2.96) <0.0001 Pulmonary embolism 2.01 (1.62-2.49) <0.0001 Minor adverse events 3.68 (3.43-3.96) <0.0001 Urinary tract infection 4.49 (4.09-4.92) <0.0001 Wound dehiscence 3.63 (2.72-4.85) <0.0001 Pneumonia 3.46 (3.04-3.94) <0.0001 Acute kidney injury 2.65 (2.32-3.02) <0.0001 Hematoma 2.03 (1.47-2.78) <0.0001 Transfusion 1.69 (1.25-2.25) 0.0005 Readmissions 1.13 (0.99-1.30) 0.0679 ED visit 3.45 (3.25-3.66) <0.0001CI = confidence interval, ED = emergency department, Fibro = fibromyalgia, OR = odds ratio
Bold represents statistically significant data.
Graph showing forest plot of odds ratios with 95% CIs in the matched fibromyalgia cohort relative to the control cohort. Black bars are statistically significant, whereas gray bars are not. CI = confidence interval, ED = emergency department, TSA = total shoulder arthroplasty
A 5-year Kaplan-Meier curve displaying the log-rank test results (P = 0.06) is shown in Figure 2. No statistical difference was observed in survival to revision surgery between the matched cohorts of patients with versus without fibromyalgia.
Figure 2:Graph showing Kaplan-Meier curve comparing 5-year revision-free survival in adult patients who underwent total shoulder arthroplasty with fibromyalgia with patients without fibromyalgia. P value resulting from a log-rank test is shown.
DiscussionTo optimize the perioperative care pathway for patients with fibromyalgia considered for TSA, it is crucial to understand associated adverse events. Although previous research has described the risks of patients with fibromyalgia receiving total hip and knee arthroplasty, there had still been a lack of literature explicitly covering the disorder's relationship with TSA.14,15,17,40–42 This study characterized the elevated risks of several 90-day complications associated with patients with fibromyalgia undergoing TSA, including infectious, bleeding-related, and venous thromboembolic events, and increased postoperative healthcare utilization.
Fibromyalgia warrants consideration as a potential patient comorbidity as 5.52% of the study population was identified to have the pain disorder. Before matching, those with fibromyalgia were younger, included more women, and had higher comorbidity than those without fibromyalgia undergoing TSA. This aligns with expectations based on previous literature that has characterized the higher prevalence in women, the associated higher comorbidity burden, and younger age at THA for those with fibromyalgia.4,5,14 It was based on these differences that matching was done to account for differences in cohort characteristics for this study.
Once matched, multivariate analysis of observed adverse events was conducted to determine outcomes that were at independently greater odds for those with fibromyalgia. Aggregated any, severe, and minor adverse outcomes were of greater odds (OR = 1.77, 1.51, and 2.08, respectively). These increased odds of adverse events after TSA align with studies regarding other orthopaedic procedures.14,15,42
In terms of individual adverse events, this study found patients with fibromyalgia to be at greater odds of infectious complications within 90 days of TSA, including sepsis (OR = 2.22), SSI (OR = 2.21), pneumonia (OR = 2.08), UTI (OR = 1.94), and AKI (OR = 1.43). The increased risk of infection is in line with previous studies within large, national databases that described the increased risk of UTI, pneumonia, and acute kidney failure for patients with fibromyalgia undergoing either total hip or knee arthroplasty.40,41,43 However, the lack of increased risk of revision surgery for patients with fibromyalgia must be considered because postoperative infection often can be an indication for revision surgery. Overall, these data may help guide perioperative decision-making by increasing awareness and suspicion, especially if symptoms begin to develop, of postoperative infection for this patient population.
Furthermore, patients with fibromyalgia were at increased risk of DVT (OR = 2.48) and PE (OR = 2.01) in this study. Previous research has not previously described an increased risk of thrombotic events associated with fibromyalgia; however, the pathophysiology behind the potential increased risk of thrombotic events may be related to the endothelial dysfunction caused by chronic pain and excessive activation of the sympathetic nervous system in fibromyalgia, as described by Cho et al.44 Furthermore, the increased risk of DVT could also be contributed by slower mobilization for this population given chronic pain-related issues, although this may be more relevant to hip or knee arthroplasty surgery. Slower mobilization because of pain-related issues would also track with the previously described association with fibromyalgia and prolonged opioid usage after total hip and knee arthroplasty.45
This study also found those with fibromyalgia to be at greater odds of ED visits (OR = 3.45) and longer LOS (6.63 ± 6.96 versus 5.70 ± 5.96 days) than the matched non-fibromyalgia cohort. Critically, preventing ED visits and decreasing LOS are some of the highest effect means for containing costs after joint arthroplasty surgery.14,46,47 In line with the results of this study, a previous database study by Morell et al14 characterized the association of fibromyalgia with increased LOS and postoperative ED visits after THA. In addition, Nelson et al42 found patients with fibromyalgia were at increased risk of 90-day readmission and higher costs after THA in a large database study. These findings show patients with fibromyalgia often require a higher level of healthcare utilization, which should be considered in preoperative planning and patient counseling.
Finally, no difference was found in 5-year survival to revision surgery between the study cohorts. Considering the increased healthcare utilization found within 90 days postoperatively, these data suggest patients with fibromyalgia have a higher risk of healthcare utilization limited to the perioperative period. As such, the diagnosis should not be considered a contraindication to TSA.
There are limitations to consider when interpreting the results of this study. Like other research involving large, administrative databases, this study is limited by the accuracy of the administrative data. Related to TSA, reverse and anatomic TSA were not able to be distinguished. Regarding fibromyalgia, the lack of agreement on fibromyalgia diagnostic criteria combined with the fact that the condition is a diagnosis of exclusion may have affected coding accuracy.48 Next, mortality data were not available in the PearlDiver database. Shoulder-specific metrics and patient-reported outcomes were also not able to be assessed. Furthermore, surgeon differences in considering patients with fibromyalgia as surgical candidates were not able to be considered. Finally, radiographic analysis was not conducted as images were not available in the administrative database.
ConclusionOverall, this study provides evidence that patients with fibromyalgia undergoing TSA are at increased risk of several adverse events including infectious complications, increased postoperative healthcare utilization, and DVT. However, it is reassuring that 5-year survival to revision surgery was not different between the study groups. Understanding these relative risks associated with patients with fibromyalgia undergoing TSA may help shoulder reconstructive surgeons advance their surgical planning and optimize patient counseling.
References 1. Best MJ, Aziz KT, Wilckens JH, McFarland EG, Srikumaran U: Increasing incidence of primary reverse and anatomic total shoulder arthroplasty in the United States. J Shoulder Elbow Surg 2021;30:1159-1166. 2. Kim SH, Wise BL, Zhang Y, Szabo RM: Increasing incidence of shoulder arthroplasty in the United States. J Bone Joint Surg Am 2011;93:2249-2254. 3. Trofa D, Rajaee SS, Smith EL: Nationwide trends in total shoulder arthroplasty and hemiarthroplasty for osteoarthritis. Am J Orthop (Belle Mead NJ) 2014;43:166-172. 4. Clauw DJ: Fibromyalgia: A clinical review. JAMA 2014;311:1547-1555. 5. Bair MJ, Krebs EE: Fibromyalgia. Ann Intern Med 2020;172:ITC33-ITC48. 6. Heidari F, Afshari M, Moosazadeh M: Prevalence of fibromyalgia in general population and patients, a systematic review and meta-analysis. Rheumatol Int 2017;37:1527-1539. 7. Vincent A, Lahr BD, Wolfe F, et al.: Prevalence of fibromyalgia: A population-based study in Olmsted county, Minnesota, utilizing the Rochester epidemiology project. Arthritis Care Res (Hoboken) 2013;65:786-792. 8. Schaefer CP, Adams EH, Udall M, et al.: Fibromyalgia outcomes over time: Results from a prospective observational study in the United States. Open Rheumatol J 2016;10:109-121. 9. Schaefer C, Chandran A, Hufstader M, et al.: The comparative burden of mild, moderate and severe fibromyalgia: Results from a cross-sectional survey in the United States. Health Qual Life Outcomes 2011;9:71. 10. Robinson RL, Kroenke K, Mease P, et al.: Burden of illness and treatment patterns for patients with fibromyalgia. Pain Med 2012;13:1366-1376. 11. White LA, Robinson RL, Yu AP, et al.: Comparison of health care use and costs in newly diagnosed and established patients with fibromyalgia. J Pain 2009;10:976-983. 12. White LA, Birnbaum HG, Kaltenboeck A, Tang J, Mallett D, Robinson RL: Employees with fibromyalgia: Medical comorbidity, healthcare costs, and work loss. J Occup Environ Med 2008;50:13-24. 13. Wolfe F, Ross K, Anderson J, Russell IJ, Hebert L: The prevalence and characteristics of fibromyalgia in the general population. Arthritis Rheum 1995;38:19-28. 14. Morrell AT, Mildren ME, Smith S, Yoo J, Kagan R: Fibromyalgia increases post-operative healthcare utilization following total hip arthroplasty. J Arthroplasty 2023;38:S310-S313. 15. D'Onghia M, Ciaffi J, McVeigh JG, et al.: Fibromyalgia syndrome–a risk factor for poor outcomes following orthopaedic surgery: A systematic review. Semin Arthritis Rheum 2021;51:793-803. 16. Khazi ZM, Lu Y, Patel BH, Cancienne JM, Werner B, Forsythe B: Risk factors for opioid use after total shoulder arthroplasty. J Shoulder Elbow Surg 2020;29:235-243. 17. Compagnoni R, Gualtierotti R, Luceri F, Sciancalepore F, Randelli PS: Fibromyalgia and shoulder surgery: A systematic review and a critical appraisal of the literature. J Clin Med 2019;8:1518. 18. Halperin SJ, Dhodapkar MM, Radford ZJ, Li M, Rubin LE, Grauer JN: Total knee arthroplasty: Variables affecting 90-day overall reimbursement. J Arthroplasty 2023;38:2259-2263. 19. Halperin SJ, Dhodapkar MM, Jiang W, et al.: Evolving trends in the use of sacroiliac fusion from 2015 to 2020. Spine (Phila Pa 1976) 2024;49:577-582. 20. Dhodapkar MM, Halperin SJ, Joo PY, et al.: Weight loss makes the difference: Perioperative outcomes following posterior lumbar fusion in patients with and without weight loss following bariatric surgery. Spine J 2023;23:1506-1511. 21. Dhodapkar MM, Gouzoulis MJ, Halperin SJ, Modrak M, Yoo BJ, Grauer JN: Urgent care versus emergency department utilization for foot and ankle fractures. J Am Acad Orthop Surg 2023;31:984-989. 22. Gouzoulis MJ, Kammien AJ, Caruana DL, Wiznia DH, Grauer JN: Hidradenitis suppurativa leads to increased risk of wound-related complications following total joint arthroplasty. Arthroplast Today 2022;16:169-174. 23. Gouzoulis MJ, Joo PY, Kammien AJ, McLaughlin WM, Yoo B, Grauer JN: Risk factors for venous thromboembolism following fractures isolated to the foot and ankle fracture. PLoS One 2022;17:e0276548. 24. Day W, Ch'en PY, Ratnasamy PP, Jeong S, Varthi AG, Grauer JN: The correlation of psoriasis and its treatment medications with lumbar discectomy postoperative infections. Spine J 2023;23:1623-1629. 25. Gouzoulis MJ, Kammien AJ, Zhu JR, Gillinov SM, Moore HG, Grauer JN: Single-level posterior lumbar fusions in patients with Ehlers Danlos syndrome not found to be associated with increased postoperative adverse events or five-year reoperations. N Am Spine Soc J 2022;11:100136. 26. Mercier MR, Galivanche AR, Wiggins AJ, et al.: Patient demographic and socioeconomic factors associated with physical therapy utilization after uncomplicated meniscectomy. J Am Acad Orthop Surg Glob Res Rev 2022;6:e22.00135. 27. Gillinov SM, Joo PY, Zhu JR, Moran J, Rubin LE, Grauer JN: Incidence, timing, and predictors of hip dislocation after primary total hip arthroplasty for osteoarthritis. J Am Acad Orthop Surg 2022;30:1047-1053. 28. Maloy GC, Kammien AJ, Rubin LE, Grauer JN: Adverse events after total hip arthroplasty are not sufficiently characterized by 30-day follow-up: A database study. J Arthroplasty 2023;38:525-529. 29. Kammien AJ, Zhu JR, Gillinov SM, Gouzoulis MJ, Grauer JN: Adverse events after posterior lumbar fusion are not sufficiently characterized with 30-day follow-up: A database study. J Am Acad Orthop Surg 2022;30:528-533. 30. Mayhew M, DeBar LL, Deyo RA, et al.: Development and assessment of a crosswalk between ICD-9-CM and ICD-10-CM to identify patients with common pain conditions. J Pain 2019;20:1429-1445. 31. Austin SR, Wong YN, Uzzo RG, Beck JR, Egleston BL: Why summary comorbidity measures such as the Charlson comorbidity index and Elixhauser score work. Med Care 2015;53:e65-e72. 32. Menendez ME, Neuhaus V, van Dijk CN, Ring D: The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery. Clin Orthop Relat Res 2014;472:2878-2886. 33. Moore HG, Kahan JB, Sherman JJZ, Burroughs PJ, Donohue KW, Grauer JN: Total shoulder arthroplasty for osteoarthritis in patients with Parkinson's disease: A matched comparison of 90-day adverse events and 5-year implant survival. J Shoulder Elbow Surg 2022;31:1436-1441. 34. Moore HG, Gardezi M, Burroughs PJ, Rubin LE, Frumberg DB, Grauer JN: Total hip arthroplasty in patients with cerebral palsy: A matched comparison of 90-day adverse events and 5-year implant survival. J Arthroplasty 2021;36:3534-3537. 35. Jayaram RH, Gillinov SM, Caruana DL, et al.: Total hip arthroplasty imageless navigation does not reduce 90-day adverse events or five-year revisions in a large national cohort. J Arthroplasty 2023;38:862-867. 36. Mercier MR, Moore HG, Wolfstadt JI, Rubin LE, Grauer JN: Outcomes following total hip arthroplasty in patients with postpolio syndrome: A matched cohort analysis. J Arthroplasty 2022;37:1822-1826. 37. Joo PY, Zhu JR, Wilhelm C, et al.: Anterior cervical discectomy and fusion outcomes in patients with and without bariatric surgery-weight loss does make a difference. Spine (Phila Pa 1976) 2023;48:400-406. 38. Jiang W, Sanchez J, Dhodapkar MM, Li M, Wiznia D, Grauer JN: Femoral head core decompressions: Characterization of subsequent conversion to total hip arthroplasty and related complications. J Am Acad Orthop Surg Glob Res Rev 2024;8:e24.00024. 39. Jiang W, Sanchez J, Dhodapkar MM, Radford ZJ, Rubin LE, Grauer JN: Outcomes following total hip arthroplasty in patients who have von Willebrand disease depend on postoperative anticoagulation. J Arthroplasty 2024. doi: 10.1016/j.arth.2024.03.004 40. Moore T, Sodhi N, Cohen-Levy WB, et al.: Surgical and medical costs for fibromyalgia patients undergoing total knee arthroplasty. J Knee Surg 2019;32:1069-1074. 41. Moore T, Sodhi N, Kalsi A, et al.: A nationwide comparative analysis of medical complications in fibromyalgia patients following total knee arthroplasty. Ann Transl Med 2019;7:64. 42. Nelson SR, Polansky S, Vakharia RM, et al.: Fibromyalgia increases 90-day complications and cost following primary total hip arthroplasty. Ann Joint 2018;3:71. 43. Sodhi N, Moore T, Vakharia RM, et al.: Fibromyalgia increases the risk of surgical complications following total knee arthroplasty: A nationwide database study. J Arthroplasty 2019;34:1953-1956. 44. Cho KI, Lee JH, Kim SM, Lee HG, Kim TI: Assessment of endothelial function in patients with fibromyalgia: Cardiac ultrasound study. Clin Rheumatol 2011;30:647-654. 45. VanIderstine C, Johnston E: Risk factors for prolonged opioid use following total hip arthroplasty and total knee arthroplasty: A narrative review of recent literature. Ann Pharmacother 2023;57:837-846. 46. Barnett ML, Wilcock A, McWilliams JM, et al.: Two-year evaluation of mandatory bundled payments for joint replacement. N Engl J Med 2019;380:252-262. 47. Nedza SM, Fry DE, DesHarnais S, Spencer E, Yep P: Emergency department visits following joint replacement surgery in an era of mandatory bundled payments. Acad Emerg Med 2017;24:236-245. 48. Arnold LM, Bennett RM, Crofford LJ, et al.: AAPT diagnostic criteria for fibromyalgia. J Pain 2019;20:611-628.
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