Rates and predictors of readmission following body contouring procedures: An analysis of 5100 patients from the national surgical quality improvement program database

Abstract

Background: Hospital readmissions can be a major contributor to increased healthcare costs and are a salient current topic in healthcare. There is a paucity of large, prospective studies that evaluate rates and risk factors of readmission within the aesthetic subset of plastic surgery. Objectives: The authors propose to determine the rates of unplanned readmission following body contouring procedures and to analyze the predictors associated with it. Methods: The 2011 and 2012 National Surgical Quality Improvement Program Database was queried for body contouring procedures using the appropriate Current Procedural Terminology codes. The rate of unplanned readmission, preoperative risk factors, comorbidities, and medical and surgical postoperative complications data were analyzed using multivariate regression models to determine predictors of readmission after these procedures. Results: We identified 5100 patients who underwent body contouring procedures, of which 142 (2.8%) experienced an unplanned readmission. Forty-eight per cent of readmitted patients experienced at least one surgical complication, and 23.9% experienced at least one medical complication. Multivariate regression analyses identified several independent predictors of unplanned readmission: increasing age (odds ratio [OR] 1.018 per year, P = 0.039), bleeding disorders (OR 3.674, P = 0.039), increased operative time (each additional hour conferring a 20% increased risk), surgical complications (OR 19.179, P < 0.001), and medical complications (OR 10.240, P < 0.001). Conclusions: The unplanned readmission rate for body contouring procedures is low overall (2.8%). We identified age, bleeding disorders, operative duration, and postoperative complication as independent risk factors for unplanned readmission. These data can help guide preoperative risk stratification and future interventions in high-risk patient populations.