Predictive Modeling of Medical and Orthopaedic-Related 90-Day Readmissions Following Primary Total Hip Arthroplasty

BackgroundThe rate of unplanned hospital readmissions following total hip arthroplasty (THA) varies from 3 to 10%, representing a major economic burden. However, it is unknown if specific factors are associated with different types of complications (i.e., medical or orthopaedic-related) that lead to readmissions. Therefore, this study aimed to: (1) determine the overall, medical-related, and orthopaedic-related 90-day readmission rate; and (2) develop a predictive model for risk factors affecting overall, medical-related, and orthopaedic-related 90-day readmissions following THA.MethodsA prospective cohort of primary unilateral THAs performed at a large tertiary academic center in the United States from 2016 to 2020 was included (n = 8,893 patients) using a validated institutional data collection system. Orthopaedic-related readmissions were specific complications affecting the prosthesis, joint, and surgical wound. Medical readmissions were due to any other cause requiring medical management. Multivariable logistic regression models were used to investigate associations between pre-specified risk factors and 90-day readmissions, as well as medical/orthopaedic-related readmissions independently.ResultsOverall, the rate of 90-day readmissions was 5.6%. Medical readmissions (4.2%) were found to be more prevalent than orthopaedic-related readmissions (1.4%). The area under curve (AUC) for the 90-day readmission model was 0.71 (95% CI [confidence interval]: 0.69 to 0.74). Factors significantly associated with medical-related readmissions were advanced age, black race, education, Charlson comorbidity index (CCI), surgical approach, opioid overdose risk (NARX) score, and nonhome discharge. In contrast, risk factors linked to orthopaedic-related readmissions encompassed body mass index (BMI), PROM phenotype, non-osteoarthritis indication, NARX, and non-home discharge.ConclusionOf the overall 90-day readmissions following primary THA, 75% were due to medical-related complications. Our successful predictive model for complication-specific 90-day readmissions highlights how different risk factors may disproportionately influence medical versus orthopaedic-related readmissions, suggesting that patient-specific, tailored preventive measures could reduce postoperative readmissions in the current value-based healthcare setting.