Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction.

Journal: European journal of medical research
Published Date: Aug 20, 2025

Abstract

BACKGROUND: To identify risk factors for post-transplant mortality and develop a machine learning-integrated prognostic tool to optimise clinical decision-making in liver transplantation (LT) recipients.

Authors

  • Kui Tu
    Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
  • Dan Luo
    Shimadzu (China) Co., Ltd, Wuhan 430022, China.
  • Xuanyu Gu
    Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
  • Jichang Jiang
    Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
  • Zhihong Zheng
    Department of Hematology, Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Lijin Zhao
    Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China. 386421696@qq.com.

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