Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients.

Journal: British journal of anaesthesia
PMID:

Abstract

BACKGROUND: Hypotension is associated with organ injury and death in surgical and critically ill patients. In clinical practice, treating hypotension remains challenging because it can be caused by various underlying haemodynamic alterations. We aimed to identify and independently validate endotypes of hypotension in big datasets of surgical and critically ill patients using unsupervised deep learning.

Authors

  • Zhongping Jian
  • Xianfu Liu
    Edwards Lifesciences, Irvine, CA, USA.
  • Karim Kouz
    Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
  • Jos J Settels
    Edwards Lifesciences, Irvine, CA, USA.
  • Simon Davies
    Centre for Health and Population Sciences, Hull York Medical School, University of York, York, UK.
  • Thomas W L Scheeren
    Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, The Netherlands. t.w.l.scheeren@umcg.nl.
  • Neal W Fleming
    Department of Anesthesiology & Pain Medicine, UC Davis School of Medicine, Sacramento, CA, USA.
  • 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.
  • Michael Sander
    Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Giessen, Justus-Liebig University Giessen, Giessen, Germany.
  • Maxime Cannesson
    Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
  • David Berger
    Department of Intensive Care Medicine, Inselspital, Bern University Hospital, Bern University, Bern, Switzerland.
  • Michael R Pinsky
    Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Daniel I Sessler
    Michael Cudahy Professor & Chair, Department of OUTCOMES RESEARCH, Anesthesiology Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Feras Hatib
    From Edwards Lifesciences Critical Care, Irvine, California (F.H., Z.J., S.B., C.L., J.S.) the Department of Anesthesiology and Perioperative Care, School of Medicine (C.L., J.R., M.C.) Department of Computer Sciences (C.L.) Department of Biomedical Engineering (C.L., M.C.), University of California, Irving, California the Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (K.S., M.C.).
  • Bernd Saugel
    II. Medizinische Klinik und Poliklinik. Klinikum rechts der Isar der Technischen Universität München, 81675 München, Germany. Electronic address: bernd.saugel@gmx.de.