Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial.

Journal: JAMA
PMID: 32065827

Abstract

IMPORTANCE: Intraoperative hypotension is associated with increased morbidity and mortality. A machine learning-derived early warning system to predict hypotension shortly before it occurs has been developed and validated.

Authors

  • Marije Wijnberge
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Bart F Geerts
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Liselotte Hol
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Nikki Lemmers
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Marijn P Mulder
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Patrick Berge
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Jimmy Schenk
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Lotte E Terwindt
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Markus W Hollmann
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Alexander P Vlaar
    Department of Intensive Care, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Denise P Veelo
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.

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