A two-stage ensemble learning based prediction and grading model for PD-1/PD-L1 inhibitor-related cardiac adverse events: A multicenter retrospective study.

Journal: Computer methods and programs in biomedicine
PMID: 39163785

Abstract

BACKGROUND: Immune-related cardiac adverse events (ircAEs) caused by programmed cell death protein-1 (PD-1) and programmed death-ligand-1 (PD-L1) inhibitors can lead to fulminant and even fatal consequences. This study aims to develop a prediction and grading model for ircAEs, enabling graded management of patients.

Authors

  • Xitong Cheng
    Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, PR China; College of Pharmacy, Fujian Medical University, Fuzhou, PR China.
  • Zhaochun Wu
    Department of Pharmacy, Fujian Medical University Affiliated Nanping First Hospital, Nanping, PR China.
  • Jierong Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Bitao Wang
    Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, PR China; College of Pharmacy, Fujian Medical University, Fuzhou, PR China.
  • Shunming Huang
    Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, PR China; College of Pharmacy, Fujian Medical University, Fuzhou, PR China.
  • Maobai Liu
    Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, PR China; College of Pharmacy, Fujian Medical University, Fuzhou, PR China.
  • Jing Yang
    Beijing Novartis Pharma Co. Ltd., Beijing, China.

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