Meniscus Tear Requiring Intraoperative Repair Does Not Influence Midterm Patient-Reported Outcomes in Operatively Treated Tibial Plateau Fractures.

OBJECTIVES: Evaluate whether intraoperatively repaired lateral meniscus injuries impact midterm patient-reported outcomes in those undergoing operative fixation of tibial plateau fracture. DESIGN: Retrospective cohort study. SETTING: Level I trauma center. PATIENT SELECTION CRITERIA: All patients (n = 207) who underwent operative fixation of a tibial plateau fracture from 2016 to 2021 with a minimum of 10-month follow-up. OUTCOME MEASURES AND COMPARISONS: The Patient-Reported Outcomes Measurement Information System Physical Function, Knee Injury and Osteoarthritis Outcome Score, and the PROMIS-Preference health utility score. RESULTS: Overall, 207 patients were included with average follow-up of 2.9 years. Seventy-three patients (35%) underwent intraoperative lateral meniscus repair. Gender, age, body mass index, Charlson comorbidity index, days to surgery, ligamentous knee injury, open fracture, vascular injury, polytraumatic injuries, Schatzker classification, and Orthopaedic Trauma Association classification were not associated with meniscal repair ( P > 0.05). Rates of reoperation (42% vs. 31%, P = 0.11), infection (8% vs. 10%, P = 0.60), return to work (78% vs. 75%, P = 0.73), and subsequent total knee arthroplasty (8% vs. 5%, P = 0.39) were also similar between those who had a meniscal repair and those without a meniscal injury, respectively. There was no difference in Patient-Reported Outcomes Measurement Information System Physical Function (46.3 vs. 45.8, P = 0.707), PROMIS-Preference (0.51 vs. 0.50, P = 0.729), and all Knee Injury and Osteoarthritis Outcome Score domain scores at the final follow-up between those who had a meniscal repair and those without a meniscal injury, respectively. CONCLUSIONS: In patients with an operatively treated tibial plateau fracture, the presence of a concomitant intraoperatively identified and repaired lateral meniscal tear results in similar midterm PROMs and complication rates when compared with patients without meniscal injury. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Analysis of acute extremity compartment syndrome using a genealogic population database.

INTRODUCTION: Acute extremity compartment syndrome ("CS") is an under-researched, highly morbid condition affecting trauma populations. The purpose of this study was to analyze incidence rates and risk factors for extremity compartment syndrome using a high-quality population database. Additionally, we evaluated heritable risk for CS using available genealogic data. We hypothesized that diagnosis of extremity compartment syndrome would demonstrate heritability. MATERIALS AND METHODS: Adult patients with fractures of the tibia, femur, and upper extremity were retrospectively identified by ICD-9, ICD-10, and CPT codes from 1996 to 2020 in a statewide hospital database. Exposed and unexposed cohorts were created based on a diagnosis of CS. Available demographic data were analyzed to determine risk factors for compartment syndrome using logistic regression. Mortality risk at the final follow-up was evaluated using Cox proportional hazard modeling. Patients with a diagnosis of CS were matched with those without a diagnosis for heritability analysis. RESULTS: Of 158,624 fractures, 931 patients were diagnosed with CS. Incidence of CS was 0.59% (tibia 0.83%, femur 0.31%, upper extremity 0.27%). Male sex (78.1% vs. 46.4%; p < 0.001; RR = 3.24), younger age at fracture (38.8 vs. 48.0 years; p < 0.001; RR = 0.74), Medicaid enrollment (13.2% vs. 9.3%; p < 0.001; RR = 1.58), and smoking (41.1% vs. 31.1%; p < 0.001; RR 1.67) were significant risk factors for CS. CS was associated with mortality (RR 1.61, p < 0.001) at mean follow-up 8.9 years in the CS cohort. No significant heritable risk was found for diagnosis of CS. CONCLUSIONS: Without isolating high-risk fractures, rates of CS are lower than previously reported in the literature. Male sex, younger age, smoking, and Medicaid enrollment were independent risk factors for CS. CS increased mortality risk at long-term follow-up. No heritable risk was found for CS. LEVEL OF EVIDENCE: III.

Worse Quality of Life Associated With Hyperextension Varus Tibial Plateau Fracture Pattern.

OBJECTIVES: Compare patient-reported outcome measures between hyperextension varus tibial plateau (HEVTP) fracture patterns to non-HEVTP fracture patterns. DESIGN: Retrospective study. SETTING: Single academic Level 1 Trauma Center. PATIENT SELECTION CRITERIA: All patients who underwent fixation of a tibial plateau fracture from 2016 to 2021 were collected. Exclusion criteria included inaccurate Current Procedural Terminology code, ipsilateral compartment syndrome, bilateral fractures, incomplete medical records, or follow-up <10 months. OUTCOME MEASURES AND COMPARISONS: In patients who underwent fixation of a tibial plateau fracture, compare Patient-Reported Outcomes Measurement Information System-Physical Function, PROMIS Preference, and Knee Injury and Osteoarthritis Outcome Score (KOOS) between patients with a HEVTP pattern with those without. RESULTS: Two-hundred and seven patients were included, of which 17 (8%) had HEVTP fractures. Compared with non-HEVTP fracture patterns, patients with HEVTP injuries were younger (42.6 vs. 51.0, P = 0.025), more commonly male (71% vs. 44%, P = 0.033), and had higher body mass index (32.8 vs. 28.0, P = 0.05). HEVTP fractures had significantly more ligamentous knee (29% vs. 6%, P = 0.007) and vascular (12% vs. 1%, P = 0.035) injuries. Patient-Reported Outcomes Measurement Information System-Physical Function scores were similar between groups; however, PROMIS-Preference (0.37 vs. 0.51, P = 0.017) was significantly lower in HEVTP fractures. KOOS pain, activities of daily living, and quality-of-life scores were statistically lower in HEVTP fractures, but only KOOS quality-of-life was clinically relevant (41.7 vs. 59.3, P = 0.004). CONCLUSIONS: The HEVTP fracture pattern, whether unicondylar or bicondylar, was associated with a higher rate of ligamentous and vascular injuries compared with non-HEVTP fracture patterns. They were also associated with worse health-related quality of life at midterm follow-up. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Return to Skiing After Tibial Plateau Fracture.

Background: Tibial plateau fractures in skiers are devastating injuries with increasing incidence. Few studies have evaluated patient-reported outcomes and return to skiing after operative fixation of a tibial plateau fracture. Purpose: To (1) identify demographic factors, fracture characteristics, and patient-reported outcome measures that are associated with return to skiing and (2) characterize changes in skiing performance after operative fixation of a tibial plateau fracture. Study Design: Case series; Level of evidence, 4. Methods: We reviewed all operative tibial plateau fractures performed between 2016 and 2021 at a single level-1 trauma center. Patients with a minimum of 10-month follow-up data were included. Patients who self-identified as skiers or were injured skiing were divided into those who returned to skiing and those who did not postoperatively. Patients were contacted to complete the Patient-Reported Outcomes Measurement Information System-Physical Function domain (PROMIS-PF), the Knee injury and Osteoarthritis Outcome Score-Activities of Living (KOOS-ADL), and a custom return-to-skiing questionnaire. Multivariate logistic regression was performed with sex, injury while skiing, PROMIS-PF, and KOOS-ADL as covariates to evaluate factors predictive of return to skiing. Results: A total of 90 skiers with a mean follow-up of 3.4 ± 1.5 years were included in the analysis. The rate of return to skiing was 45.6% (n = 41). The return cohort was significantly more likely to be men (66% vs 41%; P = .018) and injured while skiing (63% vs 39%; P = .020). In the return cohort, 51.2% returned to skiing 12 months postoperatively. The percentage of patients who self-reported skiing on expert terrain dropped by half from pre- to postinjury (61% vs 29.3%, respectively). Only 78% of return skiers had regained comfort with skiing at the final follow-up. Most patients (65%) felt the hardest aspect of returning to skiing was psychological. In the multivariate regression, the male sex and KOOS-ADL independently predicted return to skiing (P = .006 and P = .028, respectively). Conclusion: Fewer than half of skiers who underwent operative fixation of a tibial plateau fracture could return to skiing at a mean 3-year follow-up. The knee-specific KOOS-ADL outperformed the global PROMIS-PF in predicting a return to skiing.

Tibial Plateau Fractures Complicated by Compartment Syndrome Are Associated With a 3 Times Higher Cost of Care.

OBJECTIVES: To determine the impact of acute compartment syndrome (ACS) and identify cost drivers of 1-year total treatment costs for operative tibial plateau fractures. DESIGN: Retrospective review. SETTING: Level 1 trauma center. PATIENTS: 337 patients with tibial plateau fractures, 24 of which were complicated by ACS. OUTCOMES: The primary outcome was total treatment cost over the first year for operatively treated tibial plateau fractures. The secondary objective was to use regression analysis to identify significant cost drivers. RESULTS: The diagnosis of ACS was associated with 2.85 times higher total treatment cost ( P < 0.001). ACS demonstrated increased total treatment cost when controlling for polytrauma ( P < 0.001) and postoperative infection ( P < 0.001). Regression analysis identified 5 variables significantly associated with total cost of care: body mass index, injury severity score, ACS, staged external fixation, and locking fixation ( P < 0.001; R 2 = 0.57). The diagnosis of ACS had the largest impact on total cost with a 3.5× greater impact on cost compared with the next highest variable, staged external fixation. CONCLUSIONS: Tibial plateau fractures complicated by ACS are associated with 2.85 times higher treatment costs over a 1-year period. There were 5 significant variables identified by regression analysis with ACS having the highest impact on total treatment. Together, these 5 factors account for 57% of treatment cost variability. LEVEL OF EVIDENCE: Economic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Late total hip arthroplasty dislocation due to yoga.

Yoga has become a popular form of exercise, recreation, and meditation for adults in the United States. As the popularity of both yoga and the incidence of hip replacements have both coincidentally increased over the last 2 decades, we imagine that the number of total hip replacement patients partaking in the practice of yoga has also increased. There are no clear guidelines available for yoga practice following hip replacement. To date, there have been no published reports of prosthetic hip dislocations during yoga. We present 2 cases of late total hip dislocations during yoga and provide a review of the available orthopaedic literature and our recommendations on patient restrictions and education with respect to practicing yoga after a hip replacement.