Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

Journal: BMC anesthesiology
Published Date: Jul 30, 2025

Abstract

BACKGROUND: With the aging demographic on the rise, we're seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of crafting ten machine learning (ML) models capable of predicting POD instances.

Authors

  • Shuhui Hua
    Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China.
  • Chuan Li
    State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Yuanlong Wang
    The Second School of Clinical Medicine, Binzhou Medical University, Yantai, Shandong Province, China.
  • YiZhi Liang
    The Second School of Clinical Medicine, Binzhou Medical University, Yantai, Shandong Province, China.
  • Shanling Xu
    Department of Anesthesiology, Shandong Second Medical University, Weifang, Shandong Province, China.
  • Jian Kong
    Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA. Electronic address: jkong2@mgh.harvard.edu.
  • Hongyan Gong
    Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China.
  • Rui Dong
    College of Physical Education, South China Normal University, Guangzhou, China.
  • Yanan Lin
    Department of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
  • Xu Lin
    College of Chemistry, Sichuan University Chengdu 610064 People's Republic of China xmpuscu@scu.edu.cn +86 028 8541 2290.
  • Yanlin Bi
    Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.

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