https://pubmed.ncbi.nlm.nih.gov/38025489/ Chronic liver disease

Pediatr Gastroenterol Hepatol Nutr. 2023 Nov;26(6):346-354.
doi: 10.5223/pghn.2023.26.6.346.Epub 2023 Oct 30.

Utility of Subjective Global Nutritional Assessment Tool for the Assessment of Malnutrition in Pediatric Patients with Chronic Liver Disease

Anwesha Ray 1, Srikanta Basu 1, Praveen Kumar 1

Abstract
Purpose: Approximately 30% of children with chronic liver disease (CLD) are malnourished. However, proper assessment of their nutritional status is difficult. The subjective global nutritional assessment (SGNA) is a comprehensive approach that uses nutrition-focused history and examination, followed by grading of malnourishment. We aimed to study the prevalence of malnutrition in children with CLD using the SGNA tool.

Methods: This cross-sectional observational study included patients aged <18 years with CLD. Nutritional assessments were recorded using SGNA tool. Conventional anthropometric measurements were performed and corroborated with nutritional status using SGNA tool.

Results: A total of 85 children with CLD and mean age of 62 months were enrolled in this study. The prevalence of malnourished children according to SGNA was 34%; 22% were moderately malnourished and 12% were severely malnourished. We found statistically significant differences in anthropometric parameters among the three groups. A moderate degree of agreement was found between SGNA and weight-for-age (W/A) (p=0.020), mid-upper arm circumference (MUAC) (p<0.001), and triceps skin-fold thickness (TSF)-for-age (p=0.029). Furthermore, a fair degree of agreement was found between height-for-age (H/A) (p=0.001) and weight-for-height (W/H) (p<0.001). The sensitivity of W/A for detecting malnutrition was 93%, H/A was 90%, MUAC was 86%, and TSF was 88%. The sensitivity was much lower for W/H and body mass index for age (55% for both).

Conclusion: In our study, more than one-third of children with CLD were malnourished. Nutritional assessment using SGNA is a reliable method for evaluating nutritional status and is significantly correlated with common anthropometric measurements.

Published on: 
Nov-2023

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