Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury
The backward stepwise regression model we proposed in this study is more suitable than the existing non-invasive biomarkers and can be conveniently used in the individualized diagnosis of DILI-related liver inflammation and fibrosis.
Authors
- Yue Zhang (ORCID: https://orcid.org/0000-0003-0809-4542)
- Ying Li (ORCID: https://orcid.org/0000-0002-1293-6610)
- Jingying Xu (ORCID: https://orcid.org/0000-0002-1294-9040)
- Mei Han (ORCID: https://orcid.org/0009-0001-4493-2593)
- Qiqi Ma (ORCID: https://orcid.org/0000-0002-2795-239X)
- Chuan Lu (ORCID: https://orcid.org/0000-0002-2272-7097)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-28
- DOI
- https://doi.org/10.3389/fmed.2025.1571406
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Dalian Medical University