Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning-Based Model Development and Validation Study.

Journal: Journal of medical Internet research
PMID: 39752664

Abstract

BACKGROUND: Acute kidney injury (AKI) is a common complication in hospitalized older patients, associated with increased morbidity, mortality, and health care costs. Major adverse kidney events within 30 days (MAKE30), a composite of death, new renal replacement therapy, or persistent renal dysfunction, has been recommended as a patient-centered endpoint for clinical trials involving AKI.

Authors

  • Xiao-Qin Luo
    Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Ning-Ya Zhang
    Information Center, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Ying-Hao Deng
    Health Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Hong-Shen Wang
    Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.
  • Yi-Xin Kang
    Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Shao-Bin Duan
    Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.

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