A Real-Time Plasma Concentration Prediction Model for Voriconazole in Elderly Patients via Machine Learning Combined with Population Pharmacokinetics.

Journal: Drug design, development and therapy
Published Date: May 17, 2025

Abstract

PURPOSE: Voriconazole (VCZ) is a first-line treatment for invasive fungal disease, characterized by a narrow therapeutic window and significant inter-individual variability. It is primarily metabolized by the liver, the function of which declines with age. Pathological and physiological changes in elderly patients contribute to increased fluctuations in VCZ plasma concentrations. Thus, it is crucial to develop a model that accurately predicts the VCZ plasma concentrations in elderly patients.

Authors

  • Ruixiang Liu
    School of Intelligent Medicine, China Medical University, Shenyang, China.
  • Pan Ma
    College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, P. R. China.
  • Dongxin Chen
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, Wuhan, Hubei Province, People's Republic of China.
  • Mengchen Yu
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Linli Xie
    Department of Pharmacy, the First Affiliated Hospital of Army Medical University, Chongqing, People's Republic of China.
  • Linlin Zhao
    Mathematical Modelling of Biological Systems, Heinrich-Heine University, Düsseldorf, Germany.
  • Yifan Huang
    Department of Orthopedics, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Shenglan Shang
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Yongchuan Chen
    School of Art, Sun Yat-Sen University, No. 135 West Xingang Road, Guangzhou 510275, China.

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