Microelements and biochemical biomarkers-based machine learning for predicting adverse pregnancy outcomes in Wilson’s disease: risk stratification by integrating hepatic fibrosis and cerebral function
Microelements imbalance and hepatic fibrosis are associated with the risk of APOs in WD patients. The GLM, except for WD patients with cerebral dysfunction, serves as a reliable and generalizable predictive tool for APOs.
Authors
- Yan Xu (ORCID: https://orcid.org/0000-0003-0379-8866)
- Yong-guang Shi
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Xu-en Yu
- Qing-qing Ming
- Jun-cang Wu
- Xu Zhang
Institutions
- Anhui Medical University (CN)
- Anhui University of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2026-02-17
- DOI
- https://doi.org/10.3389/fnut.2026.1768588
- Primary Topic
- Trace Elements in Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Anhui Province
- Postdoctoral Research Foundation of China