The Added Value of Controlling Nutritional Status (Conut) Score for Preoperative Counselling on Significant Early Loss of Renal Function After Radical Nephrectomy for Renal Cell Carcinoma.

CONUT Renal Cell Carcinoma biomarkers chronic kidney disease morbidity nutritional status assessment radical nephrectomy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 23 09 2024
revised: 16 10 2024
accepted: 17 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

We aimed at evaluating the impact of Controlling Nutritional Status (CONUT) score on clinically significant decline in estimated glomerular filtration rate (eGFR) in patients with non-metastatic Clear Cell Renal Cell Carcinoma (ccRCC) undergoing radical nephrectomy (RN). We retrospectively analyzed a multi-institutional cohort of 140 patients with ccRCC who underwent RN between 2016 and 2018 at three Urological Centers. The CONUT score was calculated with an algorithm including serum albumin, total lymphocyte count, and cholesterol. Clinical and pathologic features were analyzed using Fisher's exact test for categorical variables and a Mann-Whitney U test for continuous variables. To define the independent predictors of clinically significant eGFR decline, univariable (UVA) and multivariable (MVA) binomial logistic regression analyses were performed in order to assess the Odds Ratio (OR) with 95% Confidence Intervals (CIs). The optimal cut-off value to discriminate between a low and high CONUT score was assessed by calculating the ROC curve. The area under the curve (AUC) was 0.67 (95%CI 0.59-0.78) with the most appropriate cut-off value at 2 points. Overall, 46 patients (32.9%) had a high CONUT score (>2). Statistically significant variables associated with eGFR decline at 24 months were age ≥ 70 (OR 2.01; 95%CI 1.17-3.09; The CONUT score is a low-time-consuming, cost-effective, and promising tool able to preoperatively screen patients at risk of developing CKD after a RN.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
We aimed at evaluating the impact of Controlling Nutritional Status (CONUT) score on clinically significant decline in estimated glomerular filtration rate (eGFR) in patients with non-metastatic Clear Cell Renal Cell Carcinoma (ccRCC) undergoing radical nephrectomy (RN).
MATERIALS AND METHODS METHODS
We retrospectively analyzed a multi-institutional cohort of 140 patients with ccRCC who underwent RN between 2016 and 2018 at three Urological Centers. The CONUT score was calculated with an algorithm including serum albumin, total lymphocyte count, and cholesterol. Clinical and pathologic features were analyzed using Fisher's exact test for categorical variables and a Mann-Whitney U test for continuous variables. To define the independent predictors of clinically significant eGFR decline, univariable (UVA) and multivariable (MVA) binomial logistic regression analyses were performed in order to assess the Odds Ratio (OR) with 95% Confidence Intervals (CIs).
RESULTS RESULTS
The optimal cut-off value to discriminate between a low and high CONUT score was assessed by calculating the ROC curve. The area under the curve (AUC) was 0.67 (95%CI 0.59-0.78) with the most appropriate cut-off value at 2 points. Overall, 46 patients (32.9%) had a high CONUT score (>2). Statistically significant variables associated with eGFR decline at 24 months were age ≥ 70 (OR 2.01; 95%CI 1.17-3.09;
CONCLUSIONS CONCLUSIONS
The CONUT score is a low-time-consuming, cost-effective, and promising tool able to preoperatively screen patients at risk of developing CKD after a RN.

Identifiants

pubmed: 39456613
pii: cancers16203519
doi: 10.3390/cancers16203519
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Matteo Boltri (M)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.
Urology Unit, "San Giovanni di Dio" Hospital, 34170 Gorizia, Italy.

Fabio Traunero (F)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.

Luca Ongaro (L)

Department of Urology, Royal Free London NHS Foundation Trust, London NW3 2QG, UK.

Francesca Migliozzi (F)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.

Fabio Vianello (F)

Urology Unit, "San Giovanni di Dio" Hospital, 34170 Gorizia, Italy.

Oliviero Lenardon (O)

Urology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.

Francesco Visalli (F)

Urology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.

Lorenzo Buttazzi (L)

Urology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.

Daniele Maruzzi (D)

Urology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.

Carlo Trombetta (C)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.

Alchiede Simonato (A)

Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90133 Palermo, Italy.

Nicola Pavan (N)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.
Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90133 Palermo, Italy.

Francesco Claps (F)

Urological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.

Classifications MeSH