Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.

Journal: The Lancet. Digital health
Published Date: Apr 12, 2021

Abstract

BACKGROUND: Survival of liver transplant recipients beyond 1 year since transplantation is compromised by an increased risk of cancer, cardiovascular events, infection, and graft failure. Few clinical tools are available to identify patients at risk of these complications, which would flag them for screening tests and potentially life-saving interventions. In this retrospective analysis, we aimed to assess the ability of deep learning algorithms of longitudinal data from two prospective cohorts to predict complications resulting in death after liver transplantation over multiple timeframes, compared with logistic regression models.

Authors

  • Osvald Nitski
    Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.
  • Amirhossein Azhie
    Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Fakhar Ali Qazi-Arisar
    Division of Gastroenterology & Hepatology, Department of Medicine, University of Toronto, Toronto, ON, Canada; Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Xueqi Wang
    Capital Institute of Pediatrics, Beijing 100020, China.
  • Shihao Ma
    Department of Computer Science, University of Toronto, Toronto, ON, Canada.
  • Leslie Lilly
    Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Multi Organ Transplant Program, University Health Network, Toronto, ON, Canada.
  • Kymberly D Watt
    Division of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN, USA.
  • Josh Levitsky
    Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Sumeet K Asrani
    Hepatology, Baylor University Medical Center, Dallas, TX.
  • Douglas S Lee
    Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Institute for Health Policy, Management and Evaluation, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, Toronto, Ontario, Canada; University of Toronto, Toronto, Ontario, Canada. Electronic address: dlee@ices.on.ca.
  • Barry B Rubin
    Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.
  • Mamatha Bhat
    Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada.
  • Bo Wang
    Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.

Keywords

External Resources

Popular Topics
Recent Journals