Development and evaluation of a machine learning model for post-surgical acute kidney injury in active infective endocarditis.

Journal: Frontiers in cardiovascular medicine
Published Date: Dec 5, 2024

Abstract

INTRODUCTION: Acute kidney injury (AKI) is notably prevalent after cardiac surgery for patients with active infective endocarditis. This study aims to create a machine learning model to predict AKI in this high-risk group, improving upon existing models by focusing specifically on endocarditis-related surgeries.

Authors

  • XinPei Liu
    Department of Cardiac Surgery, Peking Union Medical College Hospital, Beijing, China.
  • SanXi Ai
    Department of Nephrology, Peking Union Medical College Hospital, Beijing, China.
  • RuiMing Yu
    Department of Cardiac Surgery, Peking Union Medical College Hospital, Beijing, China.
  • ChaoJi Zhang
    Department of Cardiac Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Qi Miao
    Chief of Cardiac Surgery, Peking Union Medical College Hospital, Beijing, China.

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