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Clin Shoulder Elb > Volume 28(3); 2025 > Article
Zhu, Glenn, Mao, Srikumaran, and Nayar: Financial incentives and work relative value unit comparison of fixation versus total elbow arthroplasty for distal humerus fractures

Abstract

Background

Distal humerus fractures (DHFs) are challenging orthopedic injuries requiring tailored management. Surgical options primarily include open reduction and internal fixation (ORIF) and total elbow arthroplasty (TEA) for non-reconstructable fractures. While clinical considerations typically guide treatment, recent studies have shown better surgical incentives for arthroplasty compared to ORIF. This study aims to investigate compensation differences across treatment options for DHFs and to evaluate the potential association of financial incentives with clinical decisions in orthopedic surgical care.

Methods

A retrospective analysis of the American College of Surgeons National Surgical Quality Improvement Program database was conducted for DHF cases from 2006 to 2022. Patients undergoing ORIF or TEA were matched 1:1 using propensity score matching, controlling for demographics and comorbidities. Work relative value units (wRVUs), operative times, Medicare reimbursement rates, and 30-day postoperative complications were compared.

Results

Among the 506 matched patients (253 ORIF, 253 TEA), mean operative time was similar (P=0.903), while TEA procedures had significantly higher wRVUs per minute (0.15±0.06 vs. 0.11±0.05, P<0.001) and revenue per case ($684.05±$89.73 vs. $469.48±$36.04, P<0.001). No significant differences in 30-day postoperative complication rates, including bleeding requiring transfusion, surgical site infections, or major complications, were observed.

Conclusions

This study demonstrates that ORIF generates lower surgeon reimbursement than TEA for DHFs despite similar short-term outcomes, suggesting that financial incentives do not favor TEA when surgically indicated. These findings underscore the need to evaluate RVU assignment to procedures, aligning physician incentives with patient care priorities.

Level of evidence

IV.

INTRODUCTION

Distal humerus fractures (DHFs) are relatively uncommon orthopedic injuries, accounting for approximately 2%–8% of all adult fractures [1-3]. However, they represent about one-third of all humeral fractures [4]. These fractures exhibit a bimodal distribution in terms of age and mechanism: high-energy trauma is a typical cause in younger patients, while low-energy injuries, such as falls onto an outstretched hand, are more common in older adults with osteoporotic bone [5,6].
Managing DHFs presents unique challenges due to the variability in fracture morphology (e.g., displaced vs. nondisplaced, level of articular comminution), preoperative patient comorbidities, and patient functional goals, which can range from returning to high-demand activities to independent living. While nonoperative treatment may be appropriate for minor fractures or patients who are not surgical candidates, surgical intervention is often necessary for more severe injuries. Surgical options depend on the fracture type and patient factors. For significantly displaced extra-articular or simple articular fractures in younger individuals, the preferred treatment is typically open reduction and internal fixation (ORIF) to achieve prompt, rigid fixation [7,8]. In contrast, complex, highly comminuted fractures with non-reconstructable joint surfaces may require total elbow arthroplasty (TEA) in lower-demand patients, particularly for prioritizing functional recovery for independent living [9-11].
While treatment choices are generally guided by clinical factors, the influence of surgeon compensation on clinical decision-making has become increasingly examined in surgical care. In the United States, the Centers for Medicare and Medicaid Services (CMS) use relative value units (RVUs) to guide reimbursements for procedures, including surgeries. RVUs are based on various factors: physician work, such as the time needed to perform a service and the required mental and physical effort (work RVU), practice expenses (practice expense RVU), and professional liability insurance (malpractice RVU) [12,13]. The RVU system has been criticized in multiple areas of medicine, as certain surgeries have been noted to be undercompensated. In particular, distal humerus ORIF has been noted to reimburse far less than other upper extremity surgeries [14]. Research suggests that financial incentives can affect treatment choices, such as higher surgical rates and greater provision of elective procedures [15,16]. For instance, Medicare currently incentivizes open surgery over minimally invasive procedures through higher reimbursement rates, contributing to an underutilization of minimally invasive options for common surgical procedures [17,18]. Furthermore, postoperative follow-up may vary among patients with comorbidities, which could influence both treatment choice and subsequent resource allocation [19]. Each surgical option for DHF treatment carries different demands in terms of procedural complexity, operating time, and resources, which may result in varying reimbursement rates for surgeons.
Despite growing awareness of the impact of financial incentives in surgical decision-making, few studies have investigated this issue within the context of DHF management. In particular, no study has directly compared surgeon compensation between ORIF and TEA for treating DHFs. Understanding whether surgeon compensation varies by treatment choice for DHFs and assessing the potential influence of financial incentives on clinical decision-making are essential given the broader implications for resource utilization, patient outcomes, and healthcare policy. This study aims to investigate compensation differences across treatment options for DHFs and to evaluate the potential association of financial incentives with clinical decisions in orthopedic surgical care.

METHODS

This retrospective study was performed using a validated, de-identified, and publicly available national database and did not require institutional review board approval or informed consent.

Data Source

The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was queried for cases from 2006 to 2022. The NSQIP is a national surgical registry with more than 700 participating hospitals in the United States, collecting de-identified patient demographics, surgical case profiles, and 30-day postoperative outcomes. A data use agreement was approved by the NSQIP to obtain access to this dataset. Procedures were selected using Current Procedural Terminology (CPT) codes and International Classification of Disease, 9th Edition (ICD-9) and 10th Edition (ICD-10) codes.

Patient Selection

Patients from the NSQIP with a postoperative diagnosis of DHF (ICD-9: 812.4x or 812.5x; ICD-10: S42.4x) who underwent primary ORIF (CPT: 24545, 24546, or 24586) or TEA (CPT: 24363 and 24587) between 2006 and 2022 were reviewed. No cases had associated CPT codes indicating implant removal (CPT: 20670 or 20680). Patients with missing demographics and comorbidities were excluded (n=773), as were cases with an operative time <30 minutes or >500 minutes (n=11).
Collected demographic data were age, sex, weight, height, and operative time. Body mass index (BMI) was calculated as: (minimum weight before weight loss in pounds)/(height in inches)2×703. Patient comorbidity data included smoking status, diabetes mellitus, American Society of Anesthesiologists (ASA) classification, preoperative functional status, hypertension requiring medication, history of severe chronic obstructive pulmonary disease (COPD), ascites, heart failure in the 30 days before surgery, disseminated cancer, dialysis use, ventilator use, bleeding disorder, and preoperative pRBC transfusion <72 hours before surgery. In addition, 30-day postoperative outcomes of interest were extracted. Superficial surgical site infection, urinary tract infection, deep venous thrombosis, or bleeding resulting in transfusion were classified as minor complications. Major complications included ventilator use for more than 48 hours, unplanned intubation, pneumonia, myocardial infarction, stroke, progressive renal insufficiency/acute renal failure requiring dialysis, pulmonary embolism, deep surgical site infection, wound dehiscence, sepsis, or septic shock.
The “WORKRVU” variable was used to extract work RVUs (wRVUs) for each patient. To convert RVUs to dollars, wRVUs were multiplied by the March-December 2024 RVU-to-dollar conversion factor provided by the CMS of $33.2875.

Statistical Analyses

Univariate statistical analyses (two-sided independent-samples t-test, chi-square test, and Fisher’s exact test) were used to identify significant differences in demographics and comorbidities between the groups prior to matching. The two cohorts underwent 1:1 nearest-neighbor propensity score matching without replacement, controlling for age, sex, BMI, smoking status, diabetes mellitus, ASA classification, preoperative functional status, hypertension requiring medication, history of severe COPD, ascites, heart failure in the 30 days before surgery, disseminated cancer, dialysis use, ventilator use, bleeding disorder, and preoperative pRBC transfusion <72 hours before surgery. These analyses also were used to identify significant differences in demographics, comorbidities, and 30-day postoperative outcomes in the matched sample. All analyses were performed using R version 4.4.0 (R Foundation for Statistical Computing). Statistical significance was set at P<0.05.

RESULTS

Patient Demographics and Comorbidities

Among the 2,262 patients that met the inclusion criteria between 2006 and 2022, there were 2,009 ORIF cases and 253 TEA cases for treatment of DHF. Baseline characteristics are presented in Table 1. After 1:1 propensity score matching, 253 ORIF cases were matched to 253 TEA cases, for a total cohort of 506 patients. Univariate analyses were then performed to verify that the groups had been properly matched (Table 2). After matching, the two cohorts did not differ significantly in any demographic or comorbidity (Table 2).

wRVU Comparison between ORIF and TEA for DHFs

The mean operative time did not differ significantly between ORIF and TEA for treatment of DHF (156.95±66.77 minutes vs. 156.25±62.42 minutes, P=0.903) (Table 3). However, the mean wRVU value for TEA was higher than that for ORIF (20.55±2.70 vs. 14.10±1.08, P<0.001) (Table 3). Using the respective operative times, TEA had a significantly greater wRVU per minute of 0.15±0.06 versus 0.11±0.05 for the ORIF cohort (P<0.001) (Table 3). After applying the March-December 2024 Medicare payment conversion factor of $33.2875, the TEA group had a significantly higher reimbursement rate of $5.03±1.97 versus $3.59±1.81 for the ORIF group (P<0.001) (Table 3). This translated to a significantly higher revenue per case for the TEA group than for the ORIF group ($684.05±$89.73 vs. $469.48±$36.04, respectively, P<0.001) (Table 3).

Complication Rates

The 30-day postoperative outcomes after DHF surgery, categorized by procedure, are detailed in Table 4. Complications did not differ significantly between treatment groups (P>0.05) (Table 4). Of the complications examined, the most common was bleeding resulting in transfusion (4.5%), whereas the least common were ventilator use greater than 48 hours (0%) and progressive renal insufficiency/acute renal failure requiring dialysis (0%).

DISCUSSION

This study aimed to determine the mean wRVUs and wRVUs per minute associated with ORIF and TEA for DHF patients, finding that ORIF is under-compensated compared to TEA. The present results show that, although the mean operative time or 30-day postoperative complication rate did not differ between ORIF and TEA, the mean wRVU for TEA was significantly higher than that for ORIF. This resulted in a significantly greater wRVU per minute, reimbursement rate, and revenue per case for TEA compared to ORIF for DHF patients.
The primary finding of this study was that ORIF is under-compensated compared to TEA for DHF patients under the current Medicare Fee Schedule. This relationship held true when comparing wRVUs per minute and wRVUs per case. These findings are consistent with similar studies in the literature. Despite the intentions of the RVU system to provide a fair relative value to physician services, certain services may be improperly valued. In the field of orthopedics, Peterson et al. [20] determined that the lower wRVUs per minute associated with revision total knee arthroplasty compared to primary total knee arthroplasty, despite the higher complexity of the former procedure, could result in an annual compensation difference of nearly $140,000. Sodhi et al. [21] and Sugarman et al. [22] found similar results favoring primary hip and elbow arthroplasty, respectively, over revisions. However, this trend favoring primary joint arthroplasty over revision was not observed for shoulder arthroplasty. Quan et al. [23] found that revision total shoulder arthroplasty was associated with a higher wRVU per minute than primary total shoulder arthroplasty. These differences in procedure value are important because they might incentivize surgeons to perform certain procedures over others to optimize the efficiency of their practice. The present study suggests that the current Medicare Fee Schedule may incentivize surgeons to perform TEA instead of ORIF for DHF patients. To prevent potential misalignment of physician interests, the financial advantage given to TEA compared to ORIF in the context of DHF should be re-evaluated.
To fully contextualize these findings, it is important to consider the broader framework of surgical compensation in the United States beyond the wRVU system. While wRVUs are designed to reflect physician effort, including procedural complexity, operating time, and resources directly used by the surgeon, actual compensation is also shaped by additional factors such as practice expense RVU and malpractice RVU components of the Medicare Physician Fee Schedule [12,13]. Furthermore, compensation can vary based on regional cost differences [13]. These additional factors contribute to the nuanced financial incentives that can influence surgical treatment choices beyond direct procedural work and should be further studied.
The present study found no differences in 30-day postoperative complication rates when comparing ORIF and TEA for DHF. In particular, this study found no significant differences in length of stay, mortality, superficial or deep surgical site infection, urinary tract infection, vein thrombosis requiring therapy, bleeding resulting in transfusion, ventilator use >48 hours, unplanned intubation, pneumonia, myocardial infarction, stroke, renal insufficiency/failure, pulmonary embolism, wound dehiscence, sepsis, or the rates of major and minor complications between the two treatment groups. There have been mixed results in the literature comparing outcomes and complications between ORIF and TEA for DHF patients. Lovy et al. [24] found no significant differences in 30-day postoperative complication rates when comparing ORIF to TEA for elderly DHF patients but did find that postoperative length of stay was longer for TEA compared to ORIF. Medvedev et al. [25] found similar results to the present study, in which no outcomes differed significantly in the 30 days following an operation, and bleeding requiring transfusion was the most common complication. The present study adds to these findings by revealing similar results in patients in the NSQIP database from 2006 to 2022, which is a longer and more recent timespan than those of Lovy et al. [24] and Medvedev et al. [25]. In contrast, a randomized controlled trial of ORIF versus TEA for displaced elderly DHF patients conducted by McKee et al. [11] found that patients who underwent TEA had significantly better Mayo Elbow Performance Scores at 3 months, 6 months, 12 months, and 2 years compared to those who underwent ORIF. McKee et al. [11] also determined that the Disabilities of the Arm, Shoulder, and Hand scores were better in the TEA group compared to the ORIF group at 6 weeks and 6 months. That randomized controlled trial (RCT) indicates that TEA may result in better functional outcomes than ORIF for elderly DHF patients. Although the present study did not explicitly analyze functional outcomes, understanding how functional outcomes and complication rates differ is central to the decision-making process of a surgeon. Additional high-powered RCTs should be conducted to ascertain the differences in patient outcome after ORIF vs TEA for DHF. Proven differences in complication rates or outcomes necessitate reconsiderations of RVU assignment to procedures in the Medicare Fee Schedule so that physicians are not mis-incentivized by financial reasons to perform certain procedures over others.
This study is the first to analyze how value is differentially assigned to DHF patients undergoing TEA or ORIF. However, there are several relevant limitations. As a retrospective analysis of the NSQIP database, this study is limited to the accuracy of coding within the database. However, the NSQIP database offers distinct advantages over single-center studies, such as wide generalizability. Additionally, this study only analyzes short-term complication rates at 30 days postoperation and does not consider functional outcomes. The present study may also be underpowered to detect rare complications. Furthermore, wRVUs do not capture long-term care needs past the global period or the resources required for postoperative rehabilitation. Finally, this study was unable to stratify patients by type of DHF due to lack of granularity within the current CPT coding scheme. This precludes a deeper understanding of how complication rates and value per minute or operation may differ by fracture and operation type. Future research may benefit from utilizing datasets with more detailed clinical information to enable stratification by specific fracture pattern.
Despite these limitations, the present study demonstrates that ORIF is under-valued compared to TEA for DHF patients. TEA was associated with a higher wRVU per minute and wRVU per case compared to ORIF, with no differences in short-term complication rates. This suggests that, when treating DHF patients, surgeons may be incentivized to pursue TEA instead of ORIF. However, further research is necessary to discern how complication rates and outcomes differ between classes of DHFs and the different methods through which these DHFs are treated so that physician reimbursement schedules do not misalign physician and patient interests.

CONCLUSIONS

This study highlights significant disparities in reimbursement between TEA and ORIF for managing DHFs, with TEA demonstrating higher wRVUs and revenue potential despite comparable short-term complication rates. These findings suggest that financial incentives may influence surgical decisions, potentially favoring TEA over ORIF. While no differences in postoperative outcomes were observed, further research is needed to explore long-term functional outcomes and complications across specific fracture types. Understanding these dynamics is critical to aligning surgeon incentives with optimal patient care and refining reimbursement policies to ensure equitable and patient-centered treatment decisions.

NOTES

Author contributions

Data curation: ARZ. Formal analysis: ARZ. Investigation: ARZ. Methodology: ARZ. Software: ARZ. Supervision: US, SKN. Validation: ARZ. Visualization: ARZ. Writing – original draft: A Zhu, ERG, EM. Writing – review & editing: ARZ, US, SKN. All authors read and agreed to the published version of the manuscript.

Conflict of interest

None.

Funding

None.

Data availability

Contact the corresponding author for data availability.

Acknowledgments

None.

Table 1.
Baseline characteristics of patients undergoing distal humerus fracture surgery (ORIF or TEA) prior to propensity score matching
Variable Total sample (n=2,262) ORIF, unmatched (n=2,009) TEA, unmatched (n=253) P-value
Age (yr) 60.87±19.95 59.52±20.17 71.61±14.08 <0.001*
Sex <0.001*
 Female 1,601 (70.8) 1,376 (68.5) 225 (88.9)
 Male 661 (29.2) 633 (31.5) 28 (11.1)
BMI (kg/m2) 29.06±7.35 29.12±7.45 28.62±6.53 0.257
Non-independent functional status 0.042*
 No 2,133 (94.3) 1,902 (94.7) 231 (91.3)
 Yes 129 (5.7) 107 (5.3) 22 (8.7)
ASA classification <0.001*
 1 232 (10.3) 226 (11.2) 6 (2.4)
 2 929 (41.1) 837 (41.7) 92 (36.4)
 3 977 (43.2) 844 (42.0) 133 (52.6)
 4 124 (5.5) 102 (5.1) 22 (8.7)
Smoker 0.134
 Yes 1,927 (85.2) 1,703 (84.8) 224 (88.5)
 No 335 (14.8) 306 (15.2) 29 (11.5)
Diabetes mellitus 0.299
 No 1,872 (82.8) 1,669 (83.1) 203 (80.2)
 Yes 390 (17.2) 340 (16.9) 50 (19.8)
Hypertension requiring medication <0.001*
 No 1,194 (52.8) 1,107 (55.1) 87 (34.4)
 Yes 1,068 (47.2) 902 (44.9) 166 (65.6)
History of severe COPD 0.023*
 No 2,153 (95.2) 1,920 (95.6) 233 (92.1)
 Yes 109 (4.8) 89 (4.4) 20 (7.9)
Ascites (liver disease) 1.000a)
 No 2,258 (99.8) 2,005 (99.8) 253 (100.0)
 Yes 4 (0.2) 4 (0.2) 0
Heart failure in the 30 days before surgery 0.112a)
 No 2,235 (98.8) 1,988 (99.0) 247 (97.6)
 Yes 27 (1.2) 21 (1.0) 6 (2.4)
Disseminated cancer 0.171a)
 No 2,249 (99.4) 1,999 (99.5) 250 (98.8)
 Yes 13 (0.6) 10 (0.5) 3 (1.2)
Currently on dialysis (renal failure) 0.156a)
 No 2,242 (99.1) 1,989 (99.0) 253 (100.0)
 Yes 20 (0.9) 20 (1.0) 0
Ventilator use 1.000a)
 No 2,260 (99.9) 2,007 (99.9) 253 (100.0)
 Yes 2 (0.1) 2 (0.1) 0
Bleeding disorder 0.018*
 No 2,155 (95.3) 1,922 (95.7) 233 (92.1)
 Yes 107 (4.7) 87 (4.3) 20 (7.9)
Preoperative pRBC transfusion <72 hr before surgery 0.712a)
 No 2,245 (99.2) 1,993 (99.2) 252 (99.6)
 Yes 17 (0.8) 16 (0.8) 1 (0.4)

Values are presented as mean±standard deviation or number (%).

ORIF: open reduction and internal fixation, TEA: total elbow arthroplasty, BMI: body mass index, ASA: American Society of Anesthesiologists, COPD: chronic obstructive pulmonary disease, pRBC: packed red blood cell.

a)Indicates Fisher’s exact test used.

*Statistically significant, P<0.05.

Table 2.
Baseline characteristics of patients undergoing distal humerus fracture surgery (ORIF or TEA) after propensity score matching
Variable Total sample (n=506) ORIF, matched (n=253) TEA, matched (n=253) P-value
Age (yr) 72.15±13.86 72.70±13.64 71.61±14.08 0.378
Sex 0.498
 Female 444 (87.7) 219 (86.6) 225 (88.9)
 Male 62 (12.3) 34 (13.4) 28 (11.1)
BMI (kg/m2) 28.41±6.48 28.20±6.44 28.62±6.53 0.475
Non-independent functional status 0.877
 No 460 (90.9) 229 (90.5) 231 (91.3)
 Yes 46 (9.1) 24 (9.5) 22 (8.7)
ASA classification 0.985
 1 13 (2.6) 7 (2.8) 6 (2.4)
 2 181 (35.8) 89 (35.2) 92 (36.4)
 3 267 (52.8) 134 (53.0) 133 (52.6)
 4 45 (8.9) 23 (9.1) 22 (8.7)
Smoker 0.775
 No 451 (89.1) 227 (89.7) 224 (88.5)
 Yes 55 (10.9) 26 (10.3) 29 (11.5)
Diabetes mellitus 0.825
 No 403 (79.6) 200 (79.1) 203 (80.2)
 Yes 103 (20.4) 53 (20.9) 50 (19.8)
Hypertension requiring medication 0.851
 No 171 (33.8) 84 (33.2) 87 (34.4)
 Yes 335 (66.2) 169 (66.8) 166 (65.6)
History of severe COPD 1.000
 No 467 (92.3) 234 (92.5) 233 (92.1)
 Yes 39 (7.7) 19 (7.5) 20 (7.9)
Ascites (liver disease) NA
 No 506 (100.0) 253 (100.0) 253 (100.0)
 Yes 0 0 0
Heart failure in the 30 days before surgery 1.000
 No 495 (97.8) 248 (98.0) 247 (97.6)
 Yes 11 (2.2) 5 (2.0) 6 (2.4)
Disseminated cancer 1.000a)
 No 501 (99.0) 251 (99.2) 250 (98.8)
 Yes 5 (1.0) 2 (0.8) 3 (1.2)
Currently on dialysis (renal failure) NA
 No 506 (100.0) 253 (100.0) 253 (100.0)
 Yes 0 0 0
Ventilator use NA
 No 506 (100.0) 253 (100.0) 253 (100.0)
 Yes 0 0 0
Bleeding disorder 0.604
 No 470 (92.9) 237 (93.7) 233 (92.1)
 Yes 36 (7.1) 16 (6.3) 20 (7.9)
Preoperative pRBC transfusion <72 hr before surgery 1.000a)
 No 504 (99.6) 252 (99.6) 252 (99.6)
 Yes 2 (0.4) 1 (0.4) 1 (0.4)

Values are presented as mean±standard deviation or number (%).

ORIF: open reduction and internal fixation, TEA: total elbow arthroplasty, BMI: body mass index, ASA: American Society of Anesthesiologists, COPD: chronic obstructive pulmonary disease, pRBC: packed red blood cell.

a)Indicates Fisher’s exact test used.

Table 3.
Work RVU comparison between ORIF and TEA after propensity score matching
Variable Total sample (n=506) ORIF, matched (n=253) TEA, matched (n=253) P-value
Operative time (min) 156.60±64.57 156.95±66.77 156.25±62.42 0.903
wRVU 17.33±3.82 14.10±1.08 20.55±2.70 <0.001*
wRVU/min 0.13±0.06 0.11±0.05 0.15±0.06 <0.001*
Reimbursement rate ($) 4.31±2.02 3.59±1.81 5.03±1.97 <0.001*
Revenue per case ($) 576.77±127.28 469.48±36.04 684.05±89.73 <0.001*

Values are presented as mean±standard deviation.

ORIF: open reduction and internal fixation, TEA: total elbow arthroplasty, wRVU: work relative value unit.

*Statistically significant, P<0.05.

Table 4.
Univariate analysis of postoperative outcomes of patients undergoing distal humerus fracture surgery (ORIF or TEA) after propensity score matching
Variable Total sample (n=506) ORIF, matched (n=253) TEA, matched (n=253) P-value
Length of total hospital stay (day) 2.79±2.91 2.56±2.87 3.02±2.95 0.074
Mortality 0.373a)
 No 501 (99.0) 249 (98.4) 252 (99.6)
 Yes 5 (1.0) 4 (1.6) 1 (0.4)
Any complication 0.884
 No 454 (89.7) 226 (89.3) 228 (90.1)
 Yes 52 (10.3) 27 (10.7) 25 (9.9)
Any minor complication 0.863
 No 470 (92.9) 236 (93.3) 234 (92.5)
 Yes 36 (7.1) 17 (6.7) 19 (7.5)
Superficial surgical site infection 0.624a)
 No 502 (99.2) 250 (98.8) 252 (99.6)
 Yes 4 (0.8) 3 (1.2) 1 (0.4)
Urinary tract infection 1.000a)
 No 500 (98.8) 250 (98.8) 250 (98.8)
 Yes 6 (1.2) 3 (1.2) 3 (1.2)
Vein thrombosis requiring therapy 1.000a)
 No 503 (99.4) 251 (99.2) 252 (99.6)
 Yes 3 (0.6) 2 (0.8) 1 (0.4)
Bleeding resulting in transfusion 0.393
 No 483 (95.5) 244 (96.4) 239 (94.5)
 Yes 23 (4.5) 9 (3.6) 14 (5.5)
Any major complication 0.161
 No 487 (96.2) 240 (94.9) 247 (97.6)
 Yes 19 (3.8) 13 (5.1) 6 (2.4)
Ventilator use >48 hr NA
 No 506 (100.0) 253 (100.0) 253 (100.0)
 Yes 0 0 0
Unplanned intubation 1.000a)
 No 505 (99.8) 252 (99.6) 253 (100.0)
 Yes 1 (0.2) 1 (0.4) 0
Pneumonia 0.373a)
 No 501 (99.0) 249 (98.4) 252 (99.6)
 Yes 5 (1.0) 4 (1.6) 1 (0.4)
Myocardial infarction 1.000a)
 No 504 (99.6) 252 (99.6) 252 (99.6)
 Yes 2 (0.4) 1 (0.4) 1 (0.4)
Stroke 1.000a)
 No 505 (99.8) 253 (100.0) 252 (99.6)
 Yes 1 (0.2) 0 1 (0.4)
Progressive renal insufficiency/acute renal failure requiring dialysis NA
 No 506 (100.0) 253 (100.0) 253 (100.0)
 Yes 0 0 0
Pulmonary embolism 0.499a)
 No 504 (99.6) 251 (99.2) 253 (100.0)
 Yes 2 (0.4) 2 (0.8) 0
Deep surgical site infection 0.624a)
 No 502 (99.2) 250 (98.8) 252 (99.6)
 Yes 4 (0.8) 3 (1.2) 1 (0.4)
Wound dehiscence 0.624a)
 No 502 (99.2) 252 (99.6) 250 (98.8)
 Yes 4 (0.8) 1 (0.4) 3 (1.2)
Sepsis or septic shock 0.061a)
 No 501 (99.0) 248 (98.0) 253 (100.0)
 Yes 5 (1.0) 5 (2.0) 0

Values are presented as mean±standard deviation or number (%).

ORIF: open reduction and internal fixation, TEA: total elbow arthroplasty.

a)Indicates Fisher’s exact test used.

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