Analysis of risk factors for fatty liver disease in children with Wilson's disease

Shu-Pei Jia1,2, Mei-Xia Wang2, Zhuang Tao2

  • 1Nanjing University of Chinese Medicine, Jiangsu Province.

Insights

This study identified key risk factors for fatty liver disease (FLD) in children with Wilson's disease, including alanine transaminase (ALT), uric acid, creatinine, fibrinogen (FBG), and laminin. Early identification of FLD in these children is crucial.

Area of Science:

  • Hepatology
  • Pediatric Gastroenterology
  • Metabolic Disorders

Background:

  • Wilson's disease often presents with dyslipidemia in children.
  • Fatty liver disease (FLD) is a common complication in pediatric Wilson's disease.
  • Identifying risk factors for FLD is essential for timely intervention.

Purpose of the Study:

  • To investigate the risk factors associated with the development of fatty liver disease (FLD) in children diagnosed with Wilson's disease.
  • To identify biochemical predictors for FLD in this pediatric population.

Main Methods:

  • Evaluated a comprehensive panel of biochemical markers including liver enzymes (ALT, AST), lipids, uric acid, creatinine, fibrinogen (FBG), and specific fibrosis markers (procollagen III, laminin, hyaluronic acid, type IV collagen).
  • Utilized multivariate logistic regression to identify independent risk factors for FLD.
  • Employed receiver operating characteristic (ROC) curve analysis to assess the predictive value of individual and combined indicators for FLD.

Main Results:

  • Multivariate analysis identified alanine transaminase (ALT), uric acid, fibrinogen (FBG), and laminin as significant independent risk factors for FLD in children with Wilson's disease.
  • Creatinine was found to be a protective factor.
  • Combined predictive indicators using ROC analysis demonstrated a high predictive value (Area Under Curve = 0.872) for FLD.

Conclusions:

  • Alanine transaminase (ALT), uric acid, creatinine, fibrinogen (FBG), and laminin are key risk factors for fatty liver disease in pediatric Wilson's disease.
  • The developed joint prediction model is valuable for identifying children with Wilson's disease who are at high risk for FLD.
  • This finding aids in early detection and management of FLD in affected children.
Abstract

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