Journal of Renal Nutrition
Volume 15, Issue 2 , Pages 211-216, April 2005

Assessment of nutritional status in hemodialysis patients using patient-generated subjective global assessment

  • Ben Desbrow, MHSc, APD

      Affiliations

    • Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia.
    • Corresponding Author InformationAddress reprint requests to Ben Desbrow, Nutrition Unit, Griffith University, PMB 50, GCMC 9726.
  • ,
  • Judith Bauer, PhD, APD

      Affiliations

    • Wesley Research Institute, Wesley Hospital, Brisbane, Queensland, Australia.
  • ,
  • Claudia Blum, BHSc

      Affiliations

    • Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia.
  • ,
  • Amutha Kandasamy, MNutrDiet

      Affiliations

    • Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia.
  • ,
  • Alison McDonald, MNutrDiet

      Affiliations

    • Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia.
  • ,
  • Kate Montgomery, MNutrDiet

      Affiliations

    • Heart Foundation Research Centre, Griffith University, Gold Coast, Queensland, Australia.

Objective

To evaluate the scored Patient-Generated Subjective Global Assessment (PG-SGA) as a nutrition assessment tool in hemodialysis patients.

Design

A cross-sectional observational study assessing the nutritional status of hemodialysis patients.

Setting

Private tertiary Australian hospital.

Subjects

Sixty patients, ages 63.9 ± 16.2 years.

Intervention

Scored PG-SGA questionnaire, comparison of PG-SGA score ≥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 ≥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.

Conclusion

The scored PG-SGA is an easy-to-use nutrition assessment tool that allows quick identification of malnutrition in hemodialysis patients.

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PII: S1051-2276(04)00253-5

doi:10.1053/j.jrn.2004.10.005

Journal of Renal Nutrition
Volume 15, Issue 2 , Pages 211-216, April 2005