Citations

Purpose To evaluate the clinical outcomes of patients with increased posterior tibial slope (PTS ≥12°) undergoing primary anterior cruciate ligament reconstruction (ACLR) with concomitant lateral extra‐articular tenodesis (LET) and to determine whether the addition of LET mitigates the elevated risk of graft failure associated with increased tibial slope. Methods This single‐center retrospective cohort study included patients ≥16 years who underwent primary ACLR with LET between 2013 and 2022 with a minimum 2‐year follow‐up. Patients were stratified by PTS ≥12° versus <12° and required preoperative lateral radiographs for slope measurement and high‐risk features (pivot shift ≥2, Beighton ≥4, or return to pivoting sports). Outcomes included graft failure, residual pivot shift, complications, and patient‐reported outcomes (International Knee Documentation Committee and Lysholm). Achievement of minimal clinically important difference was assessed. Multivariable logistic regression and Cox proportional hazards analysis were performed to identify independent predictors of graft failure. Results A total of 289 patients (mean follow‐up, 38 months) were included: 45 with PTS ≥12° (13.0° ± 1.2°) and 244 with PTS <12° (8.1° ± 1.5°). Graft failure occurred in 24% versus 18%, respectively ( P = .411). On multivariable Cox proportional hazards analysis, no independent predictor of graft failure was identified, including PTS (hazard ratio, 1.07 per degree; 95% confidence interval, 0.95‐1.19; P = .260). Complications and contralateral anterior cruciate ligament injury rates were similar between groups. On sex‐disaggregated analysis, similar patterns were observed in both male and female cohorts, with no significant between‐group differences in graft failure, retear, or complication rates by tibial slope. Patient‐reported outcomes were comparable at all time points. At final follow‐up, minimal clinically important difference achievement for International Knee Documentation Committee and Lysholm was 98% and 100%, respectively, with no between‐group differences. Conclusions In high‐risk patients with a PTS of ≥12°, primary ACLR with LET led to similar clinical results as patients with a PTS of 12 or less. A PTS of ≥12° may be considered an indication for the addition of an LET during primary ACLR. Level of Evidence Level III, retrospective comparative case series.

Background: Tobacco use is a known risk factor for poor healing after rotator cuff repair (RCR), but the effects of nontobacco nicotine products remain unclear. Purpose: To compare postoperative complications among nontobacco nicotine users, tobacco users, and nonusers undergoing RCR. Study Design: Cohort study; Level of evidence, 3. Methods: Using the PearlDiver database, the authors identified patients who underwent arthroscopic RCR with ≥2 years of follow-up. Three 1:1 propensity-matched comparisons were conducted: nontobacco nicotine users versus nonusers (n = 4844), tobacco users versus nonusers (n = 19,182), and nontobacco nicotine users vs tobacco users (n = 4882). Outcomes included 90-day complications and 2-year revision surgeries. Results: Nontobacco nicotine users had mildly higher rates of lysis of adhesions than controls (0.7% vs 0.4%; OR, 1.95; P = .033) but no other significant differences. Tobacco users showed increased rates of acute kidney injury (AKI), pneumonia, infections, emergency department (ED) visits, readmissions, and revision surgery compared to controls. Compared to tobacco users, nontobacco nicotine users had moderately strong lower risks of pneumonia (0.6% vs 1.2%; OR, 0.46), ED visits (8.8% vs 13.6%; OR, 0.62), and readmissions (0.8% vs 1.5%; OR, 0.54) (all P < .01). Conclusion: While nontobacco nicotine use was associated with a modestly increased risk of lysis of adhesions after RCR, it did not significantly elevate the risk of major medical complications, infections, or revision surgery when compared to nonnicotine users. In contrast, tobacco users demonstrated consistently worse postoperative outcomes across multiple domains, including higher rates of AKI, pneumonia, surgical site infection, ED visits, readmissions, and revision procedures. Notably, when compared directly to tobacco users, nontobacco nicotine users had significantly lower rates of pneumonia, ED utilization, and readmissions. These findings suggest that although nontobacco nicotine products may not be entirely benign, their perioperative risk profile appears to be less severe than that of traditional tobacco use.

Abstract Distal radius fracture (DRF) open reduction and internal fixation (ORIF) is a common procedure performed across inpatient and outpatient settings. This study compared postoperative complications and healthcare utilization between these settings using a large national claims database. Patients aged 18 years and older who underwent DRF ORIF were identified in the PearlDiver Mariner database using International Classification of Diseases and Current Procedural Terminology codes. Service location determined surgical setting. Patients with pathological fractures, malignancy, or polytrauma were excluded. Cohorts were propensity matched 1:1 based on age, sex, Charlson and Elixhauser comorbidity indices, and relevant comorbidities. The matched cohort included 9,697 inpatient and 9,697 outpatient DRF ORIF cases. Serious postoperative complications occurred in 16.8% of inpatient procedures versus 5.0% of outpatient procedures. Inpatient surgery was associated with higher odds of surgical site infection (OR 2.23, 95% CI: 1.78–2.79), wound dehiscence (OR 2.57, 95% CI: 1.07–6.17), and deep vein thrombosis (OR 7.75, 95% CI: 3.53–17.04). Inpatients also had greater odds of emergency department visits (OR 1.17, 95% CI: 1.05–1.31), readmissions (OR 3.64, 95% CI: 2.91–4.54), reoperations (OR 2.15, 95% CI: 1.70–2.73), and higher 90-day reimbursements. Inpatient DRF ORIF was associated with significantly higher complication rates and increased postoperative healthcare utilization compared with outpatient procedures, with the largest absolute differences seen in readmissions, reoperations, and 90-day reimbursements. These associations are unlikely to be causal, as inpatient admission typically reflects greater medical necessity and clinical complexity not fully captured by administrative data. Nonetheless, because admission status is readily available at the point of care, it may serve as a practical flag to identify patients who warrant closer post-discharge surveillance and individualized follow-up planning. III.

Purpose To evaluate retear rates, clinical outcomes, and complications of a consecutive series of full‐thickness rotator cuff repair cases augmented with an autograft biceps patch. Methods A retrospective review was performed of patients undergoing rotator cuff repair with autograft biceps patch augmentation. Patients underwent either magnetic resonance imaging or ultrasound to evaluate rotator cuff repair integrity at a minimum of 6 months postoperatively. Patient‐reported outcomes including the American Shoulder and Elbow Surgeons Score and Single Assessment Numeric Evaluation score were also collected and evaluated for clinical significance at a minimum of 12 months postoperatively. Analysis of retear rates was performed by comparing observed retear rates to expected retear rates using the modified Rotator Cuff Healing Index score. Results The final cohort included 25 rotator cuff repair cases. Postoperative imaging was obtained by magnetic resonance imaging in 22 patients at a mean of 9 months postoperatively (range, 6.0‐15.3 months) and ultrasound in 3 patients at a mean of 30.4 months (range, 28.8‐32.2 months). The expected retear rate using the modified Rotator Cuff Healing Index score was 21.5% for the entire cohort. There was 1 retear, resulting in an actual retear rate of 4% at an average of 23.5‐month follow‐up ( P = .0196). The average Single Assessment Numeric Evaluation score was 93 (standard deviation 9), and the average American Shoulder and Elbow Surgeons Score was 96 (standard deviation 6.3) at an average of 23.5‐month follow‐up (range 14‐32). Patient acceptable symptomatic state was achieved by 96% of the cohort for the American Shoulder and Elbow Surgeons Score and 88% of the cohort for the Single Assessment Numeric Evaluation score. There were no cases of reoperation or complications. Conclusions In this consecutive series, the biceps autograft “smash” patch for rotator cuff augmentation resulted in a low rate of retears, favorable patient‐reported outcomes, and no complications. This augmentation option has the potential to be safe and effective for improving rotator cuff repair healing rates. Level of Evidence Level IV, retrospective case series.

Abstract Background Little research exists regarding geographic comparisons within the United States for Medicaid reimbursement. We compared Medicaid reimbursement for a broad range of orthopedic surgery codes from each state on a geographic and state level. Methods We obtained Medicaid reimbursement rates in each state for 211 orthopedic procedure codes along with corresponding work Relative Value Units (wRVUs). Rates were divided by wRVUs to control for differences between procedures and subspecialties. States were designated as either West, Midwest, South, or Northeast. Kruskal-Wallis tests with Dunn’s post-hoc analyses ascertained differences between regions and each orthopedic subspecialty by state. Coefficient of variation (CoV) values were calculated to measure the amount of variability in rates. A Kruskall-Wallis with Dunn’s post-hoc test assessed differences in quartiles for reimbursement compared to a square miles per orthopedic surgeon ratio. Results The West region reimbursed the highest at $72.92/wRVU and the Northeast reimbursed the lowest at $51.78. Hand surgery was the highest reimbursing subspecialty ($94.58/wRVU) and Oncology the lowest ($62.89/wRVU). The CoV ranged from 0.15–0.77 by state and 0.27–0.50 by subspecialty. A linear regression model between wRVU-adjusted Medicaid reimbursement and square miles per surgeon yielded an R2 value of 0.453. States with the most land area relative to orthopedic surgeons reimbursed significantly higher. Conclusion The West geographic region is associated with the highest Medicaid reimbursement for orthopedic procedures, and the Northeast the lowest. Wide variability was seen in rates, both between states and within states. Large, sparsely-populated states may increase Medicaid reimbursement as a tactic to attract physicians. Level of Evidence: IV; Economic Analysis

Purpose To assess the ability of artificial intelligence (AI) to identify common sports‐related pathologies using radiologic imaging and to compare ChatGPT 4.0 with 2 competitors, Grok 2 and Claude 3.5 Sonnet. Methods ChatGPT 4.0, Grok 2, and Claude 3.5 Sonnet were used. Five common orthopaedic sports pathologies were chosen: anterior cruciate ligament tears, posterior cruciate ligament tears, meniscal tears, chondral pathologies, and rotator cuff tears. Fifty images representing each pathology were collected from a radiologic imaging database when possible, which included radiographic images, computed tomography, and magnetic resonance imaging. Normal images were collected that corresponded to each diagnostic category. Receiver operator characteristic curves and area under the curve values were calculated to assess the accuracy of each AI platform. Results ChatGPT 4.0, Grok 2, and Claude 3.5 Sonnet accurately identified the pathology in 23.6%, 15.7%, and 17.1% of diseased images, respectively. ChatGPT and Grok were most accurate at identifying meniscus pathologies (ChatGPT: 48%, Grok: 42%), whereas Claude Sonnet was most accurate at identifying anterior cruciate ligament pathologies (30%). The area under the curve for ChatGPT, Grok, and Claude Sonnet was 0.21, 0.16, and 0.15, respectively (ChatGPT 4.0 vs Grok 2, P = .30; ChatGPT 4.0 vs Claude 3.5 Sonnet, P = .24; Grok 2 vs Claude 3.5 Sonnet, P > .99). There were no differences in performance between the 3 platforms overall or within any of the diagnostic categories. Conclusions ChatGPT 4.0, Grok 2, and Claude 3.5 Sonnet correctly identified the pathology in less than 25% of images of common sports‐related pathologies and showed area under the curve values well below 0.5, indicating poor accuracy. Based on these findings, we do not recommend the current use of these generative AI models for image‐based diagnosis in orthopaedics. Clinical Relevance As the use of AI becomes more popular within the general public, it becomes increasingly important to make aware the capabilities and limitations of popular AI platforms in regard to their current image‐based diagnostic capabilities.

Purpose To project the future utilization of open and arthroscopic rotator cuff repair (RCR) in the Medicare population through 2050, incorporating post‐COVID recovery data to provide insight into evolving surgical preferences, economic pressures, and implications for health care delivery. Methods We analyzed 2003‐2024 data from the Centers for Medicare and Medicaid Services Medicare Part‐B National Summary, which captures all Medicare beneficiaries undergoing open or arthroscopic RCR as identified by Current Procedural Terminology codes. Projections were based on 2003‐2019 and 2023‐2024 data, reflecting post‐COVID‐19 recovery and avoiding distortions from 2020 to 2022 pandemic‐related disruptions. Statistical models evaluated included log‐linear, Poisson, negative binomial, and autoregressive integrated moving average. Autoregressive integrated moving average was selected based on the lowest normalized root mean square error, reflecting superior predictive accuracy and its ability to capture time‐dependent trends, and was used to forecast RCR volumes through 2050. Results In 2024, there were 23,154 open and 188,700 arthroscopic RCR procedures, which served as the baseline for modeling. Open RCR is projected to decline on average by 5.91% annually, while arthroscopic RCR is projected to grow by 2.88% annually. By 2050, arthroscopic RCR volume is expected to reach 394,434 procedures (95% forecast interval: 363,424‐425,321), whereas open RCR is expected to decline to 4748 procedures (95% forecast interval: 1243‐43,747). Conclusions Autoregressive integrated moving average modeling projects that by 2050 arthroscopic RCR utilization will increase by 2‐fold and open RCR will decline to one‐fifth compared with 2024 baseline volumes. Level of Evidence Level III, retrospective cohort study.

Abstract Platelet‐rich plasma (PRP) continues to generate both excitement and skepticism within orthopaedics and sports medicine. As a biologic derived from autologous blood, PRP offers an appealing, minimally invasive option for treating musculoskeletal pathology through the delivery of concentrated growth factors and cytokines. Evidence across orthopaedic subspecialties remains mixed, however, with studies showing variable efficacy and inconsistent methodologies. Recent data on PRP use for extra‐articular hip pathology, particularly greater trochanteric pain syndrome, hamstring injuries, and piriformis syndrome show encouraging improvements in pain and function, including faster return to sport and favorable patient‐reported outcomes. Yet, significant heterogeneity in study design, PRP preparation, and control interventions limits generalizability and hinders clear clinical guidance. These inconsistencies mirror similar challenges in PRP research for a variety of other orthopaedic pathologies, underscoring the need for standardized preparation protocols and consistent reporting frameworks. Despite these limitations, a signal of efficacy persists within the data, suggesting PRP may indeed provide meaningful benefit for select extra‐articular hip conditions. As surgical alternatives for these pathologies often carry substantial morbidity, continued refinement of PRP formulations and methodology represents a promising step toward establishing biologics as reliable, evidence‐based tools in orthopaedic care.

OBJECTIVES: To evaluate and compare the ability of three popular open-source artificial intelligence platforms to diagnose common trauma-related fractures using radiologic imaging. METHODS: Design: Retrospective diagnostic performance comparison study. Setting: Publicly accessible online radiologic imaging databases. Patient Selection Criteria: Five common orthopedic trauma fractures were assessed: ankle, tibial plateau, intertrochanteric, femoral neck, and humerus. Radiographs and computed tomography (CT) images were collected. Images were randomly selected from confirmed diagnoses on Radiopaedia.org. Outcome Measures and Comparisons: ChatGPT 5, Grok 3, and Claude 4.5 Sonnet were queried with each image. Diagnostic accuracy, sensitivity, specificity, positive and negative predictive values, and performance by modality (X-ray vs. CT) were assessed. The reference standard was the expert-verified diagnosis provided by Radiopaedia.org, limited to cases labeled with a “diagnosis certain” tag. RESULTS: Each model was provided with 30 radiographs and 20 CT images whenever possible. ChatGPT 5, Grok 3, and Claude 4.5 Sonnet accurately diagnosed diseased images in 26.8%, 18.8%, and 22.4% of cases, respectively. By fracture type, ChatGPT 5 demonstrated the highest correct classification rates for ankle (10%), femoral neck (38%), humerus (40%), and tibial plateau (44%) fractures. Grok 3 demonstrated the highest correct classification rate for intertrochanteric fractures (6%). Overall sensitivities were 0.267, 0.187, and 0.223 for ChatGPT 5, Grok 3, and Claude 4.5 Sonnet, respectively. ChatGPT 5 and Grok 3 outperformed Claude 4.5 Sonnet (both P < 0.001). No modality-based performance differences were observed for any model. CONCLUSIONS: Among the publicly available large language models evaluated for radiologic interpretation of orthopedic trauma imaging, ChatGPT 5 demonstrated the highest overall diagnostic accuracy, followed by Claude 4.5 Sonnet and Grok 3. Despite relative variation between the models, overall diagnostic accuracy for fracture detection was low across all platforms (<27%). In their baseline forms, these publicly accessible large language models are not recommended for radiologic imaging interpretation. LEVEL OF EVIDENCE: Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Background Carpal tunnel release (CTR) is one of the most frequently performed procedures in the United States, with both open (OCTR) and endoscopic (ECTR) techniques widely used. As surgical practices evolve and outpatient care expands, understanding future utilization trends across care settings is increasingly important. This study projects the use of OCTR and ECTR through 2040 to inform shifting surgical preferences and healthcare demands. Methods This study analyzed procedural data from 2010 to 2019 using the PearlDiver Mariner all-payer claims database. Cases of OCTR and ECTR were identified using Current Procedural Terminology codes. Procedures were further stratified by inpatient or outpatient status based on the documented site of service field within the database. Log-linear, Poisson, negative binomial regression, and autoregressive integrated moving average (ARIMA) models were applied to procedural volumes to project trends through 2040. The ARIMA model was selected based on the lowest normalized root mean square error and overall model performance. Results In 2019, there were 31,190 outpatient ECTR, 155 inpatient ECTR, 101,334 outpatient OCTR, and 1359 inpatient OCTR procedures. By 2040, outpatient ECTR is projected to grow to 65,072 cases (95% CI, 62,471–67,781) at 3.79% annually. Inpatient ECTR is projected to reach 181 cases (95% CI, 97–340) with 2.13% annual growth. Outpatient OCTR is expected to decline to 77,834 cases (95% CI, 76,287–79,413), and inpatient OCTR to 962 cases (95% CI, 809–1143), with annual decreases of 1.19% and 1.48%, respectively. Conclusions By 2040, demand for outpatient ECTR is projected to increase by 110.31% compared to 2019, whereas outpatient OCTR is expected to decline by 20.31%. Although inpatient utilization remains limited, the adoption of endoscopic techniques is anticipated to rise across all care settings, in contrast to the continued decline of open procedures. These trends highlight the ongoing shift toward minimally invasive, ambulatory surgical care. Strategic planning in surgical training, healthcare infrastructure, and reimbursement models will be critical to meet changing demands. Further research is needed to validate these projections in broader populations and across diverse healthcare systems.