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.

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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
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article

Construction and validation of a meropenem-induced liver injury risk prediction model: a multicenter case-control study

Wenwen Wu, Shuman Yang, Hongqin Ke, Huibin Yu et al.
2 citations
Frontiers in Pharmacology
Antibiotics Pharmacokinetics and Efficacy
2.79
article

Construction and validation of a meropenem-induced liver injury risk prediction model: a multicenter case-control study

Wenwen Wu, Shuman Yang, Hongqin Ke, Huibin Yu, Hongliang Li, Jianyong Zhu, Xin Yuan, He Yan
article en
2 citations

Abstract

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.

Frontiers in PharmacologyVol. 16
Hubei University of Medicine (CN), Jilin University (CN), Taihe Hospital (CN), Jinzhou Medical University (CN)
Openalex Percentile: Top 11%
Antibiotics Pharmacokinetics and Efficacy
2.79
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