The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial.

Journal: Trials
PMID: 31601239

Abstract

BACKGROUND: Intraoperative hypotension is associated with increased morbidity and mortality. Current treatment is mostly reactive. The Hypotension Prediction Index (HPI) algorithm is able to predict hypotension minutes before the blood pressure actually decreases. Internal and external validation of this algorithm has shown good sensitivity and specificity. We hypothesize that the use of this algorithm in combination with a personalized treatment protocol will reduce the time weighted average (TWA) in hypotension during surgery spent in hypotension intraoperatively.

Authors

  • M Wijnberge
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • J Schenk
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • L E Terwindt
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • M P Mulder
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • M W Hollmann
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • A P Vlaar
    Department of Intensive Care Medicine, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.
  • D P Veelo
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands. d.p.veelo@amc.uva.nl.
  • B F Geerts
    Department of Anesthesiology, Amsterdam UMC, location Academic Medical Center, University of Amsterdam, Meibergdreef 9, Postbus 22660, 1105 AZ, Amsterdam, The Netherlands.

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