A novel nomogram based on routine clinical indicators for screening for Wilson's disease.

ABSTRACT:

Background and aims

There is currently no single model for predicting Wilson's disease (WD). We aimed to create a nomogram using daily clinical parameters to improve the accuracy of WD diagnosis in patients with abnormal liver function.

Methods

Between July 2016 and December 2020, we identified 90 WD patients with abnormal liver function who had homozygous or compound heterozygous mutations in the ATP7B gene. The control group included 128 patients with similar liver function but no WD during the same time period. To create a nomogram, we screened potential predictive variables using the least absolute shrinkage and selection operator model and multivariate logistic regression.

Results

We developed a nomogram for screening for WD based on six predictive factors

SUBMITTER: Pang J 

PROVIDER: S-EPMC11791895 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature