title: Comparison between nutritional risk tools and parameters derived from bioelectrical impedance analysis with subjective global assessment.
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).
  
  
  METHODS
  A cross-sectional study was conducted from April to September 2010.
  
  
  METHODS
  The study included 124 patients admitted to the Surgical Clinic I, University Hospital, Federal University of Santa Catarina, Florianópolis, Brazil, to undergo elective surgery.
  
  
  METHODS
  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).
  
  
  METHODS
  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.
authors.affiliation: Postgraduate Program in Nutrition, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
authors.forename: Marion Schneider
authors.initials: MS
authors.lastname: Meireles
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Wazlawik
authors.forename: João Luiz
authors.initials: JL
authors.lastname: Bastos
authors.forename: Monique Ferreira
authors.initials: MF
authors.lastname: Garcia
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001823:Body Composition / Q000502:physiology*; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D017097:Electric Impedance; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D044342:Malnutrition / Q000175:diagnosis* / Q000453:epidemiology; D008875:Middle Aged; D015596:Nutrition Assessment; D009752:Nutritional Status; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D018709:Statistics, Nonparametric; D055815:Young Adult