Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Among patients with acute respiratory failure requiring prolonged mechanical ventilation, tracheostomies are typically placed after approximately 7 to 10 days. Yet half of patients admitted to the intensive care unit receiving tracheostomy will die within a year, often within three months. Existing mortality prediction models for prolonged mechanical ventilation, such as the ProVent Score, have poor sensitivity and are not applied until after 14 days of mechanical ventilation. We developed a model to predict 3-month mortality in patients requiring more than 7 days of mechanical ventilation using deep learning techniques and compared this to existing mortality models.

Authors

  • Naomi George
    Department of Emergency Medicine, Division of Critical Care, University of New Mexico Health Science Center, Albuquerque, New Mexico, United States of America.
  • Edward Moseley
    4 College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
  • Rene Eber
    Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
  • Jennifer Siu
    Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Mathew Samuel
    Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Jonathan Yam
    Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Kexin Huang
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Charlotta Lindvall
    Harvard Medical School, Boston, MA.