An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation.

Journal: Annals of medicine
Published Date: Jul 31, 2025

Abstract

OBJECTIVES: During emergency surgery, patients with acute type A aortic dissection (ATAAD) experience unfavourable outcomes throughout their hospital stay. The combination of total aortic arch replacement (TAR) and frozen elephant trunk (FET) implantation has become a dependable choice for surgical treatment. The objective of this research was to utilize a machine learning technique based on artificial intelligence to detect the factors that increase the risk of mortality within 30 days after surgery in patients who undergo TAR in combination with FET.

Authors

  • Shuai Zhang
    School of Information, Zhejiang University of Finance and Economics, Hangzhou, China.
  • Lulu Li
    School of Mathematics, Hefei University of Technology, Hefei, 230009, China. Electronic address: lilulu01@gmail.com.
  • Jingyu Wang
    Center of Medical & Health Analysis, School of Public Health, Peking University, Beijing, China.
  • Yuan Li
    NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
  • Yongkang Zhou
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
  • Yuqing Tao
    Department of Cardiovascular Surgery at Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
  • Cuntao Yu
    The First Clinical Medical College of Lanzhou University, 730000 Lanzhou, Gansu, China; Department of Cardiovascular Surgery, First Hospital of Lanzhou University, 730013 Lanzhou, Gansu, China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, 100006 Beijing, China. Electronic address: ldyy_yuct@lzu.edu.cn.
  • Xiaogang Sun
    Department of Spine Surgery, Tengzhou Central People's Hospital Affiliated to Xuzhou Medical University, Tengzhou, Shandong Province, China.
  • Hongwei Guo
    School of Management, Shandong Second Medical University, Weifang, Shandong, China.
  • Dong Zhao
    Collaborative Innovation Center of Judicial Civilization, Key Laboratory of Evidence Science, Ministry of Education, China University of Political Science and Law, Beijing 100088, China.
  • Yi Chang
  • Jing Sun
    Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xiangyang Qian
    Department of Cardiovascular Surgery at Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.

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