Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.

Journal: International journal of antimicrobial agents
PMID: 38642812

Abstract

OBJECTIVES: Colistin-induced nephrotoxicity prolongs hospitalisation and increases mortality. The study aimed to construct machine learning models to predict colistin-induced nephrotoxicity in patients with multidrug-resistant Gram-negative infection.

Authors

  • Ling-Wan Chiu
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Yi-En Ku
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Fan-Ying Chan
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Wen-Nung Lie
    Department of Electrical Engineering, National Chung Cheng University, Chiayi, Taiwan.
  • Horng-Jiun Chao
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • San-Yuan Wang
    Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
  • Wan-Chen Shen
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
  • Hsiang-Yin Chen
    Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address: shawn@tmu.edu.tw.

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