Comparison between Nutritional Risk Tools and Parameters Derived from Bioelectrical Impedance Analysis with Subjective Global Assessment

• Published in: Journal of the Academy of Nutrition and Dietetics 2012-10, Vol.112 (10), p.1543-1549
• Main Authors: Meireles, Marion Schneider, MSc, Wazlawik, Elisabeth, PhD, Bastos, João Luiz, PhD, Garcia, Monique Ferreira, MSc
• Format: Article
• Language: English
• Subjects: Adult; Aged; Aged, 80 and over; Biological and medical sciences; Body Composition - physiology; Body Mass Index; Cross-Sectional Studies; Electric Impedance; Feeding. Feeding behavior; Female; Fundamental and applied biological sciences. Psychology; Gastroenterology and Hepatology; Hospitalization; Humans; Internal Medicine; Male; Malnutrition - diagnosis; Malnutrition - epidemiology; Middle Aged; Nutrition Assessment; Nutritional Status; Prevalence; Risk Assessment; Risk Factors; Statistics, Nonparametric; Vertebrates: anatomy and physiology, studies on body, several organs or systems; Young Adult
• ISSN: 2212-2672; 2212-2680
• DOI: 10.1016/j.jand.2012.07.005

Abstract Background Nutritional risk and malnutrition are highly prevalent among hospitalized patients. As a result, several methods have been developed to produce an adequate nutritional diagnosis. Objective We aimed to assess the relationship between nutritional risk tools and parameters derived from bioelectrical impedance analysis with a Subjective Global Assessment (SGA). Design A cross-sectional study was conducted from April to September 2010. Participants/setting The study included 124 patients admitted to the Surgical Clinic I, University Hospital, Federal University of Santa Catarina, Florianópolis, Brazil, to undergo elective surgery. Main outcome measures We utilized SGA and Nutritional Risk Screening 2002 (NRS 2002), Nutritional Risk Index (NRI), Fat-Free Mass Index (FFMI), Fat Mass Index (FMI), body cell mass as a percentage of the total weight (%BCM), and standardized phase angle (SPA). Statistical analysis performed The agreement was tested by κ coefficient, while bivariate associations were tested by Mann-Whitney U test. Results Prevalence of nutritional risk by NRS 2002 and NRI or malnutrition by SGA, FFMI, FMI, %BCM, and SPA was 19.3%, 69.5%, 35.5%, 12.9%, 8.1%, 46.8%, and 4.8%, respectively. The best agreement was between SGA and NRS 2002 (κ=.490), possibly because they constitute similar instruments. Patients identified as malnourished by SGA (B+C) showed considerably lower values of FFMI, FMI, BCM, and SPA. Conclusions The results suggest that the NRS 2002 and parameters derived from bioelectrical impedance analysis identify patients with impaired nutritional status.