Derivation and validation of a new global method for assessing nutritional status in patients with cirrhosis

Hepatology. 2006 Oct;44(4):823-35. doi: 10.1002/hep.21358.

Abstract

Accurate assessments of nutritional status are difficult to obtain in patients with cirrhosis. The aim of this study was to devise and validate a global nutritional assessment scheme for use in this patient population. Measures of body mass index (BMI) and mid-arm muscle circumference (MAMC) were combined with details of dietary intake in a semistructured, algorithmic construct to provide a nutritional assessment scheme for use in patients with cirrhosis; evaluated individuals were classified as adequately nourished, moderately malnourished (or suspected to be), or severely malnourished. There was good interobserver agreement in the nutritional categorization of 50 patients with cirrhosis (34 men, 16 women) using this scheme (kappa = 0.79) and significant associations with the contributing objective variables--namely, BMI (Spearman's correlation r = -0.78; P < .001) and relative MAMC (r = -0.69; P < .001)--confirming its internal validity. There was a significant association between nutritional categorization in 20 patients with cirrhosis (10 men, 10 women) and estimates of total body protein obtained using a four-component model (r = -0.45; P = .046), confirming the external validity of the scheme. Finally, a significant association was found between poor nutritional status in 116 patients with cirrhosis (65 men, 51 women), followed for 14 to 52 months, and shorter subsequent survival (P = .0005), confirming the scheme's predictive validity. In conclusion, a global assessment scheme has been devised that provides a simple, reproducible, valid, and predictive method of assessing nutritional status in patients with cirrhosis.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Algorithms
  • Arm / anatomy & histology
  • Body Mass Index
  • Energy Intake
  • Female
  • Humans
  • Liver Cirrhosis* / pathology
  • Male
  • Middle Aged
  • Nutrition Disorders / diagnosis*
  • Nutritional Status*
  • Observer Variation
  • Reproducibility of Results
  • Skinfold Thickness