Development of a warning model for drug-induced liver injury in the older patients.

Journal: Frontiers in pharmacology
Published Date: May 20, 2025

Abstract

INTRODUCTION: Drug-induced liver injury (DILI) is a significant adverse drug reaction, ranging from mild liver enzyme elevations to severe outcomes such as liver failure, transplantation, or death. This condition is especially concerning in older adults, who may exhibit increased susceptibility to adverse medication effects. This study aimed to develop and compare eight machine learning (ML) models using routine clinical, pharmacological, and laboratory data to predict DILI in older hospitalized patients.

Authors

  • Qiaozhi Hu
    Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China.
  • Xiaoqi Li
    West China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
  • Dan Zou
    Department of Medical Oncology, The Second Affiliated Hospital, Guizhou Medical University, Kaili, China.
  • Zhiyao He
    Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Ting Xu
    Bioresources Green Transformation Collaborative Innovation Center of Hubei Province, College of Life Sciences, Hubei University, Wuhan 430062, Hubei, China.

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