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A Simple Clinical Prediction Model for Metabolic Dysfunction-Associated Steatotic Liver Disease in Adolescents with Obesity.

Created on 08 Jul 2026

Authors

Yang Liao, Fei Wang, Ting-Ting Tian, Xiu-Fen Li

Published in

Indian journal of pediatrics. Jul 08, 2026. Epub Jul 08, 2026.

Abstract

To develop and validate a simple, office-based screening tool for metabolic dysfunction-associated steatotic liver disease (MASLD) in adolescents with obesity using readily available clinical indicators.
This cross-sectional study utilized NHANES 2021-2023 data (derivation cohort, n = 100) and 2017-2020 data (temporal validation cohort, n = 149). MASLD was defined as controlled attenuation parameter (CAP) ≥245 dB/m. Model performance was assessed using area under the receiver operating characteristic curve (AUC).
A simplified three-variable model incorporating alanine aminotransferase (ALT), triglycerides, and waist circumference demonstrated excellent discrimination (AUC 0.809, 95% CI: 0.721-0.897) in derivation and remained robust in validation (AUC 0.725, 95% CI: 0.636-0.814). Inclusion of homeostasis model assessment of insulin resistance (HOMA-IR) did not significantly improve performance (DeLong P >0.05).
This validated three-parameter model requires no specialized tests or insulin measurement, providing a practical tool for frontline pediatricians to stratify MASLD risk during routine visits.

PMID:
42417925
Bibliographic data and abstract were imported from PubMed on 08 Jul 2026.

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