Background: Millions of Americans have hepatitis C and other liver diseases, many of whom have endstage osteoarthritis requiring total joint arthroplasty (TJA). This study aimed to determine the extent to which hepatitis C and other liver diseases are independent risk factors for complications, including readmission and reoperation, in patients undergoing TJA. Methods: Retrospective study of a REACHnet data set containing demographics, International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes, and clinical and laboratory data for patients who underwent primary total knee or hip replacement from 2013 to 2017 at 3 hospital systems in Louisiana and Texas. Multivariable logistic regression analyses examined predictors of complications. Any complication was defined as a 90-day medical complication or readmission or reoperation within 1 year. Results: Among 13,673 patients who met inclusion criteria, 14.9% (2044/13,673) had any complication, 11.7% (1600/13,673) were readmitted within 90 days, and 3.6% (497/13,673) had a reoperation within 1 year. Liver disease increased the odds for any complication (odds ratio [OR], 1.12; 95% confidence interval [CI], 1.08-1.18), 90-day medical complication (OR, 1.13; 95% CI, 1.04-1.22), and 90-day readmission (OR, 1.11; 95% CI, 1.06-1.17). Hepatitis C was not, by itself, associated with an increase in any type of complication but was usually associated with liver disease. Comorbidity severity was the strongest predictor of all types of complications after TJA. Conclusion: Patients in Louisiana and Texas with liver disease were at increased risk for complications after TJA, corroborating findings of previous studies. Hepatitis C was not an independent predictor of complications because of its high association with liver disease.

Introduction: With the increasing demand for total knee arthroplasty (TKA), rapid recovery protocols (RRPs) have been introduced to reduce costs and the length of stay (LOS). Little is known about the effects of RRPs on postoperative knee range of motion (ROM). Methods: We reviewed the medical charts of 323 patients who underwent primary TKA performed by a single orthopaedic surgeon at a university-based orthopaedic tertiary care safety net practice. Of the 323 patients, 129 were treated with a standard recovery protocol (SRP) between January 1, 2012, and December 10, 2013, and 194 with a RRP beginning December 11, 2013. Knee ROM was assessed at the preoperative visit and at scheduled postoperative visits for up to 1 year. Differences in mean LOS between the groups were compared using a Poisson regression with and without adjustment for covariates. Repeated measures analysis of covariance was used to evaluate the effects of recovery protocol, time, and the interaction of recovery protocol by time on flexion and flexion contracture. The probability of achieving flexion ≥120° and having a flexion contracture ≥10° was estimated using the SAS/STAT GLIMMIX procedure with a binary distribution and a logit link. Results: The mean LOS for the RRP and SRP groups was 0.8 and 2.5 days, respectively. RRP was associated with greater flexion at 2, 6, and 12 weeks and a higher probability of attaining flexion ≥120° at 6 and 12 weeks. Patients receiving a RRP had less severe flexion contracture and a lower probability of flexion contracture ≥10° at 2, 6, and 12 weeks. Discussion: During the first 12 weeks after TKA, patients who received a RRP had a markedly greater ROM than patients who received a SRP, suggesting that RRP may allow patients to do a greater variety of activities of daily living during the first 3 postoperative months while reducing health care costs. Level of Evidence: Level III

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Background: Factors that influence breast reconstruction after mastectomy have been previously examined in national databases. The purpose of this study was to determine the impact of patient travel distance and income on breast reconstruction after mastectomy in a rural population. Methods: Retrospective review of mastectomy patients from 2017 to 2021 was performed from our prospectively enrolled tumor registry. Analysis included frequencies and percentages, descriptive statistics, χ 2 analysis, independent sample t tests, and multivariable analysis. Results: In total, 462 patients were included. Median BMI was 27.6 kg/m 2 , 96.1% of patients were White, and median age at diagnosis was 60.0 years. Reconstruction rate was 52.6%, and median length of follow-up was 24.6 months. No significant difference was found in the distance traveled by patients who underwent reconstruction (16.6 versus 16.7 miles; P = 0.94). Rates of reconstruction in patients who traveled 0–10 miles, 11–30 miles, and over 30 miles did not differ significantly ( P = 0.16). Median household income was significantly different in reconstructed and nonreconstructed patients ($55,316.00 versus $51,629.00; P = 0.047). Rates of reconstruction were significantly higher in patients with median household income greater than $65,000 ( P = 0.024). This difference was not significant on multivariable analysis. Conclusions: Travel distance did not significantly impact reconstruction rates after mastectomy, while household income did on univariable analysis. Studies at an institutional or regional level remain valuable, especially in populations that may not be accurately represented in larger database studies. Our findings highlight the importance of patient education, resource allocation, and multidisciplinary approach to breast cancer care, especially in the rural setting.

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