Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation.

Journal: Frontiers in medicine
Published Date: Jan 22, 2025

Abstract

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient survival, with continuous renal replacement therapy (CRRT) being a crucial intervention. However, the optimal timing for CRRT initiation remains controversial.

Authors

  • Chuanren Zhuang
    Department of Laboratory Medicine, Cangnan Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, China.
  • Ruomeng Hu
    Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Ke Li
    School of Ideological and Political Education, Shanghai Maritime University, Shanghai, China.
  • Zhengshuang Liu
    Department of Critical Care Medicine, Cangnan Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, China.
  • Songjie Bai
    Department of Cardiovascular Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Sheng Zhang
    Department of Critical Care Medicine, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, China.
  • Xuehuan Wen
    Department of Oncology, The People's Hospital of Cangnan Zhejiang, Wenzhou Medical University, Wenzhou, Zhejiang, China.

Keywords

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