Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation.

Journal: Journal of critical care
PMID:

Abstract

PURPOSE: Treatment of patients undergoing prolonged weaning from mechanical ventilation includes repeated spontaneous breathing trials (SBTs) without respiratory support, whose duration must be balanced critically to prevent over- and underload of respiratory musculature. This study aimed to develop a machine learning model to predict the duration of unassisted spontaneous breathing.

Authors

  • Sebastian Johannes Fritsch
    Department of Intensive Care Medicine, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Morris Riedel
  • Gernot Marx
    Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, Germany.
  • Johannes Bickenbach
    Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany.
  • Andreas Schuppert