Elucidating predictors of preoperative acute heart failure in older people with hip fractures through machine learning and SHAP analysis: a retrospective cohort study.

Journal: BMC geriatrics
PMID: 40269712

Abstract

BACKGROUND: Acute heart failure (AHF) has become a significant challenge in older people with hip fractures. Timely identification and assessment of preoperative AHF have become key factors in reducing surgical risks and improving outcomes.

Authors

  • Qili Yu
    Department of Geriatric Orthopedics, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, China.
  • Mingming Fu
    Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
  • Zhiyong Hou
    Department of Orthopedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, 050051, PR China; NHC Key Laboratory of Intelligent Orthopedic Equipment (Hebei Medical University Third Hospital), PR China. Electronic address: drzyhou@hebmu.edu.cn.
  • Zhiqian Wang
    Department of Geriatric Orthopedics, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, PR China. Electronic address: 37800709@hebmu.edu.cn.

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