Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

Journal: BMC cardiovascular disorders
Published Date: Jul 4, 2025

Abstract

BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year all-cause mortality risk in HF-AF patients to support personalized risk stratification and management.

Authors

  • Jiacan Wu
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Guanghong Tao
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Siyuan Xie
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Han Yang
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Fenglin Qi
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Naiyue Bao
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
  • Zhuo Li
    Biostatistics Unit, Mayo Clinic, Jacksonville, FL, United States.
  • Guanglei Chang
    Department of Cardiovascular Medicine, Cardiovascular Research Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. augustchang.2008@qq.com.
  • Hua Xiao
    Department of Hepatobiliary and Intestinal Surgery, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China.

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