A machine learning model to predict intradialytic hypotension in pediatric continuous kidney replacement therapy.

Journal: Pediatric nephrology (Berlin, Germany)
Published Date: Apr 3, 2025

Abstract

BACKGROUND: Intradialytic hypotension (IDH) is associated with mortality in adults undergoing intermittent hemodialysis, but this relationship is unclear in critically ill children receiving continuous kidney replacement therapy (CKRT). We aim to evaluate the relationship between IDH and hospital mortality and if pressure data from dialysis machines could predict IDH.

Authors

  • Jian-An Wang
    Acusense Biomedical Technology Corp, Tainan, Taiwan.
  • Hsiang-Wei Hu
    Acusense Biomedical Technology Corp, Tainan, Taiwan.
  • Yuan-Yow Chiou
    Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Sheng-Li Rd, North District, Tainan, 70403, Taiwan.
  • Kuan-Yu Chen
    School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan.
  • Chun-Chuan Hsueh
    Acusense Biomedical Technology Corp, Tainan, Taiwan.
  • Chih-Chia Chen
    Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Sheng-Li Rd, North District, Tainan, 70403, Taiwan. chenmarki@gmail.com.

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