You have accessJournal of UrologyKidney Cancer: Localized: Surgical Therapy III1 Apr 2017MP55-14 THE ABILITY OF THREE COMORBITY INDECES TO PREDICT POSTOSPERATIVE MORTALITY IN RENAL CELL CARCINOMA PATIENTS: THE IMPENDING NEED OF A NEW DISEASE-SPECIFIC INDEX Paolo Dell'Oglio, Alessandro Larcher, Fabio Muttin, Francesco Cianflone, Alessandro Nini, Zachary Hamilton, Ithaar Derweesh, Francesco Trevisani, Cristina Carenzi, Andrea Salonia, Alberto Briganti, Francesco Montorsi, Roberto Bertini, and Umberto Capitanio Paolo Dell'OglioPaolo Dell'Oglio More articles by this author , Alessandro LarcherAlessandro Larcher More articles by this author , Fabio MuttinFabio Muttin More articles by this author , Francesco CianfloneFrancesco Cianflone More articles by this author , Alessandro NiniAlessandro Nini More articles by this author , Zachary HamiltonZachary Hamilton More articles by this author , Ithaar DerweeshIthaar Derweesh More articles by this author , Francesco TrevisaniFrancesco Trevisani More articles by this author , Cristina CarenziCristina Carenzi More articles by this author , Andrea SaloniaAndrea Salonia More articles by this author , Alberto BrigantiAlberto Briganti More articles by this author , Francesco MontorsiFrancesco Montorsi More articles by this author , Roberto BertiniRoberto Bertini More articles by this author , and Umberto CapitanioUmberto Capitanio More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.1707AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES To date no studies assessed whether Charlson Comorbidy Index (CCI), American Society of Anesthesiologists score (ASA) and Eastern Cooperative Oncology Group performance status (ECOG) have the same ability to predict postoperative mortality in renal cell carcinoma (RCC) patients who undergo radical (RN) or partial nephrectomy (PN). The aim of the study was to assess the predictive ability of these indeces on other cause mortality (OCM) in patients treated with surgery for kidney cancer. METHODS We identified 2,648 T1-T4 patients treated with RN or PN for RCC between 1987 and 2014 at a single centre. Patients with distant metastases at diagnosis, with multiple lesions and with Von Hippel Lindau were excluded. Four multivariable Cox regression analyses (MVA) were performed to assess OCM predictors. Predictors included in Model 1 were age at surgery and gender (basic model). Predictors in Model 2, 3 and 4 were the same included into Model 1 plus CCI, ASA and ECOG, respectively. The discrimination of the accuracy of each model was quantified using the receiver operating characteristic-derived area under the curve with a time frame at 3-year. Decision curve analyses were performed to evaluate and compare the net-benefit associated with the use of the 3 indeces relative to the basic model. RESULTS 249 patients (9.4%) died of other causes. Overall, 82 (3.1%) patients died within 3 years after surgery. The median follow-up in patients who survived was 63 months (IQR 30-118). At MVA of Model 1, age (HR 1.1) and gender (HR 1.5) were independent predictors of OCM (all p0.004). At MVA of Model 2, 3 and 4, age and gender remained independent predictors of OCM (all p0.04). Furthermore, at MVA of model 2, 3 and 4 CCI (HR 1.3), ASA (HR 1.09) and ECOG (HR 1.9) reached the independent predictor status (all p<0.001). The accuracy of Model 1, 2, 3 and 4 were 74.5 vs 77.6 vs 76.3 vs 76.3. After decision curve analyses, there was no superior net-benefit of one model relative to the others. CONCLUSIONS We provided evidence that the difference in accuracy between the CCI, ASA and ECOG is clinically negligible. Interestingly, the increase in accuracy relative to the basic model of all three index is limited and there is no superior net-benefit of any of the examined indeces relative to the basic model. These findings suggest that there is an impending need of a disease-specific index to predict OCM in RCC patients submitted to surgery. At the moment, clinicians may use any of these indeces for RCC patients counselling to predict postoperative mortality after surgery. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e736 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Paolo Dell'Oglio More articles by this author Alessandro Larcher More articles by this author Fabio Muttin More articles by this author Francesco Cianflone More articles by this author Alessandro Nini More articles by this author Zachary Hamilton More articles by this author Ithaar Derweesh More articles by this author Francesco Trevisani More articles by this author Cristina Carenzi More articles by this author Andrea Salonia More articles by this author Alberto Briganti More articles by this author Francesco Montorsi More articles by this author Roberto Bertini More articles by this author Umberto Capitanio More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...