title: Assessment of nutritional status in hemodialysis patients using patient-generated subjective global assessment.
abstract: OBJECTIVE
  To evaluate the scored Patient-Generated Subjective Global Assessment (PG-SGA) as a nutrition assessment tool in hemodialysis patients.
  
  
  METHODS
  A cross-sectional observational study assessing the nutritional status of hemodialysis patients.
  
  
  METHODS
  Private tertiary Australian hospital.
  
  
  METHODS
  Sixty patients, ages 63.9 +/- 16.2 years.
  
  
  METHODS
  Scored PG-SGA questionnaire, comparison of PG-SGA score > or =9 with subjective global assessment (SGA), albumin, corrected arm muscle area, and triceps skinfold.
  
  
  RESULTS
  According to SGA, 80% of patients were well nourished and 20% of patients were malnourished. Patients classified as well nourished (SGA-A) attained a significantly lower median PG-SGA score compared with those rated as moderately malnourished or at risk of malnutrition (SGA-B). A PG-SGA score > or =9 had a sensitivity of 83% and a specificity of 92% at predicting SGA classification. There were significant correlations between the PG-SGA score and serum albumin, PG-SGA score, and percentage weight loss over the past 6 months. There was no association between PG-SGA score and body mass index or anthropometric measurements.
  
  
  CONCLUSIONS
  The scored PG-SGA is an easy-to-use nutrition assessment tool that allows quick identification of malnutrition in hemodialysis patients.
authors.affiliation: Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia. b.desbrow@griffith.edu.au
authors.forename: Ben
authors.initials: B
authors.lastname: Desbrow
authors.forename: Judith
authors.initials: J
authors.lastname: Bauer
authors.forename: Claudia
authors.initials: C
authors.lastname: Blum
authors.forename: Amutha
authors.initials: A
authors.lastname: Kandasamy
authors.forename: Alison
authors.initials: A
authors.lastname: McDonald
authors.forename: Kate
authors.initials: K
authors.lastname: Montgomery
mesh_terms: D000368:Aged; D015992:Body Mass Index; D005260:Female; D006801:Humans; D008297:Male; D044342:Malnutrition / Q000453:epidemiology; D008875:Middle Aged; D015596:Nutrition Assessment; D009752:Nutritional Status; D006435:Renal Dialysis; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012709:Serum Albumin / Q000032:analysis; D012885:Skinfold Thickness; D011795:Surveys and Questionnaires; D015431:Weight Loss
chemical_list: D012709:Serum Albumin