Development and validation of a nomogram model for prediction of dyslipidemia in children with Wilson disease: a retrospective analysis.

ABSTRACT:

Background

Wilson disease (WD), an inherited copper metabolism disorder, is linked to hepatic injury from copper accumulation-induced dyslipidemia. Children with WD have a high incidence of dyslipidemia, yet personalized risk assessment tools are lacking. This study established a predictive nomogram to provide foundational evidence for early detection in this population.

Methods

In this retrospective cohort study, clinical data from 913 children with WD were retrospectively collected at the First Affiliated Hospital of Anhui University of Chinese Medicine (November 2018-February 2025). The cohort was stratified by age group and dyslipidemic status using stratified random sampling, resulting in a division into a training set (70%, n = 641) and a validation set (30%,

SUBMITTER: Hua D 

PROVIDER: S-EPMC12408305 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature