Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial.

Journal: Critical care medicine
PMID:

Abstract

OBJECTIVES: Cardiac surgery is associated with perioperative complications, some of which might be attributable to hypotension. The Hypotension Prediction Index (HPI), a machine-learning-derived early warning tool for hypotension, has only been evaluated in noncardiac surgery. We investigated whether using HPI with diagnostic guidance reduced hypotension during cardiac surgery and in the ICU.

Authors

  • Jaap Schuurmans
    Department of Anesthesiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Santino R Rellum
    Department of Anesthesiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Jimmy Schenk
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Björn J P van der Ster
    Department of Internal Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
  • Ward H van der Ven
    Amsterdam UMC, University of Amsterdam, Department of Anesthesiology, Amsterdam, Netherlands.
  • Bart F Geerts
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Markus W Hollmann
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Thomas G V Cherpanath
    Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Wim K Lagrand
    Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Paul R Wynandts
    Department of Anesthesiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Frederique Paulus
    Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Antoine H G Driessen
    Department of Cardiothoracic Surgery, Amsterdam UMC, University of Amsterdam, Heart Center, Amsterdam, The Netherlands.
  • Lotte E Terwindt
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Susanne Eberl
    Department of Anesthesiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Henning Hermanns
    Department of Anesthesiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Denise P Veelo
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Alexander P J Vlaar
    Amsterdam UMC, University of Amsterdam, Department of Intensive Care, Amsterdam, Netherlands; Amsterdam UMC, University of Amsterdam, Laboratory of Experimental Intensive Care and Anesthesiology, Amsterdam, Netherlands. Electronic address: a.p.vlaar@amsterdamumc.nl.