Impact of the controlling nutritional status (CONUT) score on perioperative morbidity and oncological outcomes in patients with bladder cancer treated with radical cystectomy

Urol Oncol. 2023 Jan;41(1):49.e13-49.e22. doi: 10.1016/j.urolonc.2022.09.023. Epub 2022 Oct 21.

Abstract

Introduction and objectives: To evaluate the impact of the Controlling Nutritional Status (CONUT) score on perioperative morbidity and oncological outcomes of bladder cancer (BC) patients treated with radical cystectomy (RC).

Materials and methods: We retrospectively analyzed a multi-institutional cohort of 347 patients treated with RC for clinical-localized BC between 2005 and 2019. The CONUT-score was defined as an algorithm including serum albumin, total lymphocyte count, and cholesterol. Multivariable logistic regression analyses were performed to evaluate the ability of the CONUT-score to predict any-grade complications, major complications and 30 days readmission. Multivariable Cox' regression models were performed to evaluate the prognostic effect of the CONUT-score on recurrence-free survival (RFS), overall survival (OS), and cancer-specific survival (CSS).

Results: A cut-off value to discriminate between low and high CONUT-score was determined by calculating the receiver operating characteristic (ROC) curve. The area under the curve was 0.72 hence high CONUT-score was defined as ≥3 points. Overall, 112 (32.3%) patients had a high CONUT. At multivariable logistic regression analyses, high CONUT was associated with any-grade complications (OR 3.58, P = 0.001), major complications (OR 2.56, P = 0.003) and 30 days readmission (OR 2.39, P = 0.01). On multivariable Cox' regression analyses, high CONUT remained associated with worse RFS (HR 2.57, P < 0.001), OS (HR 2.37, P < 0.001) and CSS (HR 3.52, P < 0.001).

Conclusions: Poor nutritional status measured by the CONUT-score is independently associated with a poorer postoperative course after RC and is predictive of worse RFS, OS, and CSS. This simple index could serve as a comprehensive personalized risk-stratification tool identifying patients who may benefit from an intensified regimen of supportive cares.

Keywords: Biomarkers; Morbidity; Nutrition assessment; Postoperative complications; Radical cystectomy; Survival; Urinary bladder neoplasms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cystectomy*
  • Humans
  • Morbidity
  • Nutritional Status
  • Prognosis
  • Retrospective Studies
  • Urinary Bladder Neoplasms* / surgery