The American Society of Anesthesiologists physical status classification system, modified Charlson Comorbidity Index (mCCI), and modified Frailty Index have been associated with complications after urologic surgery. No study has compared the predictive performance of these indexes for postoperative complications after radical cystectomy (RC) for bladder cancer.
Data from 1516 patients undergoing elective RC for bladder cancer were extracted from the 2005 to 2011 American College of Surgeons National Surgical Quality Improvement Program for a retrospective review. The perioperative outcome variables assessed were occurrence of minor adverse events, severe adverse events, infectious adverse events, any adverse event, extended length of hospital stay, discharge to a higher level of care, and mortality. Patient comorbidity indexes and demographic data were assessed for their discriminative ability in predicting perioperative adverse outcomes using an area under the curve (AUC) analysis from the receiver operating characteristic curves.
The most predictive comorbidity index for any adverse event was the mCCI (AUC, 0.511). The demographic factors were the body mass index (BMI; AUC, 0.519) and sex (AUC, 0.519). However, the overall performance for all predictive indexes was poor for any adverse event (AUC < 0.52). Combining the most predictive demographic factor (BMI) and comorbidity index (mCCI) resulted in incremental improvements in discriminative ability compared with that for the individual outcome variables.
For RC, easily obtained patient mCCI, BMI, and sex have overall similar discriminative abilities for perioperative adverse outcomes compared with the tabulated indexes, which are more difficult to implement in clinical practice. However, both the demographic factors and the comorbidity indexes had poor discriminative ability for adverse events.
Clinical genitourinary cancer. 2018 Feb 26 [Epub ahead of print]
Xiaosong Meng, Benjamin Press, Audrey Renson, James S Wysock, Samir S Taneja, William C Huang, Marc A Bjurlin
Department of Urology, NYU Langone Health, New York, NY., Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ., Department of Population Health, NYU Langone Hospital-Brooklyn, Brooklyn, NY; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, NY., Department of Urology, NYU Langone Health, New York, NY; Department of Radiology, NYU Langone Health, New York, NY., Division of Urologic Oncology, Department of Urology, NYU Langone Hospital-Brooklyn, Brooklyn, NY. Electronic address: .