Prognostic value of various nutritional risk markers in patients hospitalized for the treatment of genitourinary cancer: A retrospective study.

BACKGROUND & AIMS: Because malnutrition adversely affects the prognosis of patients with cancer, accurate nutritional status assessment is important. Therefore, this study aimed to verify the prognostic value of various nutritional assessment tools and compare their predictability. METHODS: We retrospectively enrolled 200 patients hospitalized for genitourinary cancer between April 2018 and December 2021. Four nutritional risk markers, namely, Subjective Global Assessment (SGA) score, Mini-Nutritional Assessment-Short Form (MNA-SF) score, Controlling Nutritional Status (CONUT) score, and Geriatric Nutritional Risk Index (GNRI), were measured at admission. The endpoint was all-cause mortality. RESULTS: SGA, MNA-SF, CONUT, and GNRI values were all independent predictors of all-cause mortality (hazard ratio [HR] = 7.72, 95% confidence interval [CI]: 1.75-34.1, P = 0.007; HR = 0.83, 95% CI: 0.75-0.93, P = 0.001; HR = 1.29, 95% CI: 1.16-1.43, P < 0.001; and HR = 0.95, 95% CI: 0.93-0.98, P < 0.001, respectively) even after adjustment for age, sex, cancer stage, and surgery or medication. However, in the model discrimination analysis, the net reclassification improvement of the CONUT model (vs. SGA: 0.420, P = 0.006 and vs. MNA-SF: 0.57, P < 0.001) and GNRI model (vs. SGA: 0.59, P < 0.001 and vs. MNA-SF: 0.671, P < 0.001) were significantly improved compared to the SGA and MNA-SF models, respectively. The combination of CONUT and GNRI models also had the highest predictability (C-index = 0.892). CONCLUSIONS: Objective nutritional assessment tools were superior to subjective nutritional tools in predicting all-cause mortality in inpatients with genitourinary cancer. Measurement of both the CONUT score and GNRI might contribute to a more accurate prediction.

Prognostic Value of the Controlling Nutritional Status (CONUT) Score in Patients at Dialysis Initiation.

Protein-energy wasting (PEW) is common in patients with chronic kidney disease (CKD), and affects their prognosis. The Controlling Nutritional Status (CONUT) score is a nutritional screening tool calculated using only blood test data. This study aimed to investigate the prognostic value of CONUT score in patients just initiating dialysis. A total of 311 CKD patients who stably initiated dialysis were enrolled. Only 27 (8.7%) patients were classified as having normal nutritional status. The CONUT score was also independently correlated with elevated C-reactive protein levels (ß = 0.485, p < 0.0001). During the median follow-up of 37 months, 100 patients (32.2%) died. The CONUT score was an independent predictor of all-cause mortality (adjusted hazard ratio 1.13, 95% confidence interval 1.04−1.22, p < 0.0024). As model discrimination, the addition of the CONUT score to a prediction model based on established risk factors significantly improved net reclassification improvement (0.285, p = 0.028) and integrated discrimination improvement (0.025, p = 0.023). The CONUT score might be a simplified surrogate marker of the PEW with clinical utility and could predict all-cause mortality, in addition to improving the predictability in CKD patients just initiating dialysis. The CONUT score also could predict infectious-disease mortality.