Construction and validation of a meropenem-induced liver injury risk prediction model: a multicenter case-control study
Being male, ICU admission, gallbladder disease, higher levels of baseline ALP and GGT, and lower levels of baseline PLT were the risk factors for MiLI. The nomogram model built based on these factors demonstrated favorable performance in discrimination, calibration, clinical applicability, and internal-external validation. The nomogram model can assist clinicians in early identification of high-risk patients receiving meropenem, predicting the risk of MiLI, and ensuring safe medication practices.
Authors
- Wenwen Wu (ORCID: https://orcid.org/0000-0002-7465-6606)
- Shuman Yang (ORCID: https://orcid.org/0000-0002-9169-5850)
- Hongqin Ke
- Huibin Yu (ORCID: https://orcid.org/0000-0002-2430-272X)
- Hongliang Li (ORCID: https://orcid.org/0000-0002-9868-0387)
- Jianyong Zhu
- Xin Yuan (ORCID: https://orcid.org/0000-0002-1298-4399)
- He Yan
Institutions
- Hubei University of Medicine (CN)
- Jilin University (CN)
- Taihe Hospital (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-05-09
- DOI
- https://doi.org/10.3389/fphar.2025.1542554
- Citations
- 2
- Primary Topic
- Antibiotics Pharmacokinetics and Efficacy
- Type
- article
- Field-Weighted Citation Impact
- 2.79