Utilization of comorbidity indices to predict discharge destination and complications following total shoulder arthroplasty

Background: Comorbidity indices can help identify patients at risk for postoperative complications. Purpose of this study was to compare different comorbidity indices to predict discharge destination and complications after shoulder arthroplasty.Methods: Retrospective review of institutional shoulder arthroplasty database of primary anatomic (TSA) and reverse (RSA) shoulder arthroplasties. Patient demographic information was collected in order to calculate Modified Frailty Index (mFI-5), Charlson Comorbidity Index (CCI), age adjusted CCI (age-CCI), and American Society of Anesthesiologists physical status classification system (ASA). Statistical analysis performed to analyze length of stay (LOS), discharge destination, and 90-day complications.Results: There were 1365 patients included with 672 TSA and 693 RSA patients. RSA patients were older and had higher CCI, age adjusted CCI, ASA, and mFI-5 (p < 0.001). RSA patients had longer lengths of stay (LOS), more likely to have an adverse discharge (p < 0.001), and higher reoperation rate (p = 0.003). Age-CCI was most predictive of adverse discharge (AUC 0.721, 95% CI 0.704-0.768).Discussion: Patients undergoing RSA had more medical comorbidities, experienced greater LOS, higher reoperation rate, and were more likely to have an adverse discharge. Age-CCI had the best ability to predict which patients were likely to require higher-level discharge planning.