Predicting short-term outcome of primary total hip arthroplasty:a prospective multivariate regression analysis of 12 independent factors.

Abstract

The purpose of this study was to investigate factors affecting the short-term outcome of primary total hip arthroplasty (THA) and develop a multivariate regression equation to predict the short-term outcome of primary THA. Prospectively collected data for 101 primary THAs performed at a single institution were used in this study. Twelve independent variables were analyzed via correlation and multivariate regression analyses. Correlation analyses showed that three variables significantly influenced Western Ontario and McMaster Universities Osteoarthritis (WOMAC) physical function (PF) score at minimum follow-up of 1 year: preoperative WOMAC PF score (P < .0001), sex (GN, P = .0159), and the presence of preoperative comorbidities (CMB, P = .0246). Multivariate regression analysis yielded the following equation: Outcome = PF0.45 - GN9 + CMB8 + 62, which can be used to predict the general short-term outcome of primary THA.