An interpretable machine learning model to predict off-pump coronary artery bypass grafting-associated acute kidney injury.

Journal: Advances in clinical and experimental medicine : official organ Wroclaw Medical University
Published Date: May 1, 2024

Abstract

BACKGROUND: Off-pump coronary artery bypass grafting-associated acute kidney injury (OPCAB-AKI) is related to 30-day perioperative mortality. Existing mathematical models cannot be applied to help clinicians make early diagnosis and intervention decisions.

Authors

  • Zhihe Zeng
    Department of Anesthesiology, General Hospital of Northern Theater Command, Shenyang, China.
  • Xiao Tian
    College of Chemical Engineering, Department of Pharmaceutical Engineering, Northwest University, Taibai North Road 229, Xi'an 710069, Shaanxi, China.
  • Lin Li
    Department of Medicine III, LMU University Hospital, LMU Munich, Munich, Germany.
  • Yugang Diao
    Department of Anesthesiology, General Hospital of Northern Theater Command, Shenyang, China.
  • Tiezheng Zhang
    Department of Anesthesiology, General Hospital of Northern Theater Command, Shenyang, China.

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