Predicting Discharge Disposition After Shoulder Arthroplasty in the United States.

Abstract

Postdischarge management for shoulder replacement continues to be performed on a case-by-case basis, with no uniform guidelines dictating management. The goal of this study was to develop a nomogram to preoperatively predict a patient's discharge disposition after elective shoulder arthroplasty. Patients who underwent elective shoulder arthroplasty between 2012 and 2015 were identified in the National Surgical Quality Improvement Program database. A multivariable logistic regression model was used to identify risk factors for discharge to a postacute care facility, and these results were used to create a predictive nomogram. From 2012 to 2015, 8,363 procedures were identified. In our cohort, 962 patients (11.5%) were discharged to a postacute care facility, and 7,492 patients (88.5%) were discharged home. Preoperative functional status, followed by American Society of Anesthesiologists Class and age, had the strongest predictive value for discharge disposition after shoulder arthroplasty. Discharge disposition can be predicted using a nomogram with commonly identified preoperative and intraoperative variables. Level III, retrospective cohort design, observational study.