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Impact of the controlling nutritional status (CONUT) score on perioperative morbidity and oncological outcomes in patients with bladder cancer treated with radical cystectomy
F. Claps, MC. Mir, BWG. van Rhijn, G. Mazzon, F. Soria, D. D'Andrea, G. Marra, M. Boltri, F. Traunero, M. Massanova, G. Liguori, JL. Dominguez-Escrig, A. Celia, P. Gontero, SF. Shariat, C. Trombetta, N. Pavan
Language English Country United States
Document type Journal Article
- MeSH
- Cystectomy * MeSH
- Humans MeSH
- Morbidity MeSH
- Urinary Bladder Neoplasms * surgery MeSH
- Nutritional Status MeSH
- Prognosis MeSH
- Retrospective Studies MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
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.
Department of Urology 2nd Faculty of Medicine Charles University Prague Czech Republic
Department of Urology Fundacion Instituto Valenciano de Oncologia Valencia Spain
Department of Urology Medical University of Vienna Vienna Austria
Department of Urology San Bassiano Hospital Bassano del Grappa Italy
Department of Urology University of Texas Southwestern Medical center Dallas TX
Department of Urology Weill Cornell Medical College New York NY
References provided by Crossref.org
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- $a Claps, Francesco $u Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy; Department of Urology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands; Department of Urology, Fundacion Instituto Valenciano de Oncologia, Valencia, Spain. Electronic address: claps.francesco@gmail.com
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- $a 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.
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