Predictive Value of the Charlson Comorbidity Index in Kidney Transplantation

Abstract

BackgroundNonimmunologic factors have been recently implicated in worse outcomes after kidney transplantation, producing a need to predict the operative risk among kidney recipients. We assessed the predictive value of the Charlson comorbidity index (CCI) among kidney transplant recipients. MethodsA retrospective study of 223 first deceased-donor kidney transplantations performed from 2000 to 2007 evaluated the role of comorbidities. ResultsAbout 50% of recipients displayed >1 comorbid condition before transplantation; the most frequently reported was diabetes mellitus. Increasing CCI scores significantly affected graft and patient survivals. Crude analysis showed a significant association between CCI >1 and risk of death (hazard ratio [HR], 3.87; 95% confidence interval [CI], 1.06–14.06; P = .04). After adjustment for several covariates, high CCI values remained significantly predictive of posttransplantation outcomes with a HR for death of (12.53; 95% CI, 1.9–82.68; P = .009). ConclusionsOur predictive model showed a strong association of CCI and patient survival even after adjustment for several clinical covariates. CCI may be used to evaluate patients referred for kidney transplantation who display a significant burden of comorbid conditions that increase the risk of premature death or graft loss.