Comparison between direct and indirect methods to diagnose malnutrition and cardiometabolic risk in haemodialisys patients.

Autor: Balbino KP; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil., Epifânio APS; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil., Ribeiro SMR; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil., da Silva LDM; Division of Nephrology, São João Batista Hospital, Viçosa, Brazil., Gouvea MG; Division of Nephrology, São João Batista Hospital, Viçosa, Brazil., Hermsdorff HHM; Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Jazyk: angličtina
Zdroj: Journal of human nutrition and dietetics : the official journal of the British Dietetic Association [J Hum Nutr Diet] 2017 Oct; Vol. 30 (5), pp. 646-654. Date of Electronic Publication: 2017 Mar 22.
DOI: 10.1111/jhn.12468
Abstrakt: Background: The present study aimed to evaluate the nutritional status of patients undergoing haemodialysis (HD) by comparing nutritional risk scores with biochemical, anthropometric and body composition variables.
Methods: Eighty-five individuals [65.9% male, mean (SD) age 62 (14) years] participated in a cross-sectional study. Global Objective Assessment (GOA) and Modified Global Subjective Assessment (mGSA) scores, as well as biochemical, anthropometric and body composition data, were collected using standardised procedures.
Results: The prevalence of malnutrition ranged from 20.0% (% body fat by electrical bioimpedance) to 95.3% (by GOA), depending on the indicator or score used. According to the waist circumference, 61.2% of the individuals presented abdominal obesity and visceral adipose tissue was excessive in 20% of them. Malnutrition diagnosis by GOA showed the relationship between the anthropometric and body composition indicators, as assessed by the extent that the ratings of risk nutritional/mild malnutrition and mainly moderate malnutrition were accompanied by a significant decrease in nutritional status and body composition variables. However, with respect to categories of mGSA, no statistically significant differences were observed for nutritional status and body composition variables. In the receiver operator characteristic curve analyses, mGSA and GOA were good indicators for diagnosing malnutrition because both achieved an AUC > 0.5.
Conclusions: mGSA and GOA were more sensitive with respect to identifying individuals at nutritional risk compared to the isolated anthropometric indicators, thus indicating their utility in diagnostic malnutrition. However, individuals at high nutritional risk also presented cardiometabolic risk, as diagnosed mainly by central fat indicators, suggesting the application of both malnutrition and cardiometabolic risk markers in HD patients.
(© 2017 The British Dietetic Association Ltd.)
Databáze: MEDLINE
Externí odkaz: