Mini nutritional assessment is a better predictor of mortality than subjective global assessment in heart failure out-patients

Background & aims: There is no consensus on the best method for nutritional screening and assessment in patients with heart failure (HF). This study aimed to determine which nutritional assessment method had the highest prognostic significance for patients with HF treated in outpatient clinics. We also aimed to identify a fast, reliable screening method for detecting malnutrition in these patients. Methods: This prospective study included 151 subjects that attended an outpatient HF clinic at a university hospital. All patients completed three nutritional screening tools: the Malnutrition Universal Screening Tool (MUST), the MNA-short form (MNA-SF), and the Malnutrition Screening Tool (MST), and then, two nutritional assessment questionnaires: the Subjective Global Assessment (SGA) and the Mini Nutritional Assessment (R) (MNA). Patients were followed-up for 2 years. The primary endpoint was all-cause mortality. Results: Malnutrition or nutritional risk was identified in 15.9% of patients with the SGA and in 25.1% of patients with the MNA. Age, New York Heart Association (NYHA) functional class, and MNA were the only independent all-cause death predictors after adjusting for age, gender, NYHA functional class, body mass index, Barthel index, 25-hydroxyvitamin D concentrations, treatment with angiotensin converting enzyme inhibitors or angiotensin II receptor blockers, and treatment with beta-blockers. The SGA could not independently predict all-cause mortality in a multivariate analysis that included the same covariates. The MNA-SF had the best sensitivity, specificity, and kappa coefficient for screening malnutrition, based on the MNA and the SGA as references, compared to the other screening methods. Conclusions: In our cohort, malnutrition assessed by MNA, but not by SGA, was an independent predictor of mortality. MNA-SF showed remarkable sensitivity and specificity; thus, it might be a valuable tool for rapidly identifying malnutrition risk in outpatients with HF. (C) 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.