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

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...

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Detalles Bibliográficos
Autores principales: Ray, Anwesha, Basu, Srikanta, Kumar, Praveen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Pediatric Gastroenterology, Hepatology and Nutrition 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651359/
https://www.ncbi.nlm.nih.gov/pubmed/38025489
http://dx.doi.org/10.5223/pghn.2023.26.6.346
Descripción
Sumario: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.