Specific Nutrition Evaluation for Advanced Chronic Liver Disease: Validation through psychometrics analysis

Area of Science:

• Nutritional Science
• Hepatology
• Clinical Assessment Tools

Background:

• Validated nutritional assessment tools for chronic liver disease (CLD) are limited.
• Accurate nutritional status evaluation is crucial for managing CLD patients.

Purpose of the Study:

• To evaluate the psychometric properties of the Specific Nutrition Evaluation for Advanced Chronic Liver Disease (SNE-ACLD) instrument.
• To establish cut-off points for nutritional assessment in individuals with CLD.

Main Methods:

• The SNE-ACLD was administered to hospitalized CLD patients alongside other nutritional assessment tools.
• Psychometric properties including construct validity (principal component analysis), reliability (Cronbach's alpha), and concurrent/predictive validity (ROC curve, Cox regression) were assessed.

Main Results:

• The SNE-ACLD demonstrated good construct validity with four components explaining 69.9% of variance and reliability (Cronbach's alpha = 0.70).
• Established cut-off points identified four malnutrition levels: none, mild, moderate, and severe.
• The instrument showed concurrent validity (AUC=0.714) and predictive validity, with severe malnutrition linked to a nearly five-fold increased one-year mortality risk.

Conclusions:

• The SNE-ACLD is a valid and reliable instrument for assessing malnutrition in advanced chronic liver disease.
• The SNE-ACLD effectively captures malnutrition domains and provides prognostic information for CLD patients.