Factors predicting early mortality after radical cystectomy for urothelial carcinoma in a contemporary cohort of patients

Author:

Kim Sandra,Kokorovic Andrea,Sharma Vidit,Boorjian Stephen,Rendon Ricardo A.,Bell David,Ross Mason

Abstract

Introduction: We aimed to identify preoperatively available patient variables associated with increased mortality within 30 and 90 days of radical cystectomy (RC) for localized urothelial carcinoma (UC), and to evaluate temporal trends in early mortality rates. Methods: We reviewed the National Cancer Database to identify patients who underwent RC for UC between 2006 and 2013. Preoperatively available patient-specific demographics and mortality rates at 30 and 90 days postoperatively were analyzed. Univariable and multivariable logistic regression analyses were performed to examine factors associated with 30- and 90-day mortality. Results: We identified 37 366 patients who underwent RC between 2006 and 2013. Overall mortality rates remained stable over time. From 2006–2013, 936 patients (2.5%) and 2554 patients (6.8%) died of any cause within 30 and 90 days post-RC, respectively. On multivariable analysis, increased age, higher clinical T and N stage, increased Charlson-Deyo comorbidity classification, African-American race, lower hospital volume, non-academic centers, lower patient income, and absence of insurance were each significantly associated with increased early mortality after RC (p<0.05). The protective effect of higher hospital volume was similar regardless of patient’s age, clinical stage, or comorbidity status. Conclusions: Our study identified patient-specific variables that are significantly associated with increased early mortality after RC. These findings can be used in counselling to identify ideal candidates for RC to decrease patient harm. Furthermore, early mortality rates after RC have remained stable over time, indicating that ongoing quality improvement is essential to improve outcomes.

Publisher

Canadian Urological Association Journal

Subject

Urology,Oncology

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