Development and validation of a non-invasive prediction model for identifying high-risk children with metabolic dysfunction-associated fatty liver disease

Development and validation of a non-invasive prediction model for identifying high-risk children with metabolic dysfunction-associated fatty liver disease

ObjectiveThis study aims to investigate the prevalence and risk factors of Metabolic dysfunction-associated fatty liver disease (MAFLD) in pediatric populations and establish a novel health index scoring system derived from key risk parameters for early identification of high-risk children with MAFL...

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Bibliographic Details
Main Authors: Yuan Xiaowu, Dong Jian, Wen Yizhu, Ma Ting, Tong Jin, Wei Juan, Wang Sirui, Wang Jinli, He Yuchen, Zhao Huan, Cheng Yuhang, Li Jun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Pediatrics
Subjects:
metabolic dysfunction-associated fatty liver disease
non-alcoholic fatty liver disease
pediatric population
risk stratification
health index
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1625864/full
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https://www.frontiersin.org/articles/10.3389/fped.2025.1625864/full

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