Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.

Journal: Critical care (London, England)
Published Date:

Abstract

BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes.

Authors

  • Harry Magunia
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany. harry.magunia@med.uni-tuebingen.de.
  • Simone Lederer
    Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Raphael Verbuecheln
    Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Bryant Joseph Gilot
    Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Michael Koeppen
    Department of Anesthesiology and Intensive Care Medicine, University Hospital of Tübingen, Tübingen, Germany. Electronic address: michael.koeppen@med.uni-tuebingen.de.
  • Helene A Haeberle
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Valbona Mirakaj
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • Pascal Hofmann
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany.
  • 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.
  • Boris Nohe
    Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany.
  • Michael Lay
    Center for Anaesthesia, Intensive Care and Emergency Medicine, Zollernalb Klinikum, Balingen, Germany.
  • Claudia Spies
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charitéplatz 1, 10117, Berlin, Germany.
  • Andreas Edel
    Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Berlin Institute of Health, Humboldt-Universität zu Berlin, Berlin , Germany.
  • Fridtjof Schiefenhövel
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charitéplatz 1, 10117, Berlin, Germany.
  • Tim Rahmel
    Department of Anesthesiology, Intensive Care Medicine/Pain Therapy, Knappschaftskrankenhaus Bochum, Bochum, Germany.
  • Christian Putensen
    Department of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.
  • Timur Sellmann
    Department of Anesthesiology and Intensive Care Medicine, Evangelisches Krankenhaus Bethesda, Duisburg, Germany.
  • Thea Koch
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Timo Brandenburger
    Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany.
  • Detlef Kindgen-Milles
    Department of Anaesthesiology, University Hospital Düsseldorf, Düsseldorf, Germany.
  • Thorsten Brenner
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Marc Berger
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Kai Zacharowski
    Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
  • Elisabeth Adam
    Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany.
  • Matthias Posch
    Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Freiburg, Germany.
  • Onnen Moerer
    Center for Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, Göttingen, Germany.
  • Christian S Scheer
    Department of Anesthesiology, University Medicine Greifswald, Greifswald, Germany.
  • Daniel Sedding
    Department Cardiology, Angiology and Intensive Care Medicine, University Hospital Halle (Saale), Halle (Saale), Germany.
  • Markus A Weigand
    Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Falk Fichtner
    Department of Anesthesiology and Intensive Care, Leipzig University Hospital, Leipzig, Germany.
  • Carla Nau
    Department of Anesthesiology and Intensive Care, University Medical Center Schleswig-Holstein, Campus Lübeck, University of Lübeck, Lübeck, Germany.
  • Florian Prätsch
    Department of Anaesthesiology and Intensive Care Therapy, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany.
  • Thomas Wiesmann
    University Hospital Marburg, UKGM, Philipps University Marburg, Marburg, Germany.
  • Christian Koch
    Educational and Research Centre for Animal Husbandry, Hofgut Neumuehle, 67728 Muenchweileran der Alsenz, Germany.
  • Gerhard Schneider
    Department of Anesthesiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
  • Tobias Lahmer
    Klinik Und Poliklinik Für Innere Medizin II, Klinikum Rechts Der Isar der, Technischen Universität München, Munich, Germany.
  • Andreas Straub
    Department for Anesthesiology, Intensive Care Medicine, Emergency Medicine and Pain Medicine, St. Elisabethen Klinikum, Ravensburg, Germany.
  • Andreas Meiser
    Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, Saarland University Hospital Medical Center, Homburg/Saar, Germany.
  • Manfred Weiss
    Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany.
  • Bettina Jungwirth
    Department of Anesthesiology and Intensive Care Medicine, Ulm University, Ulm, Germany.
  • Frank Wappler
    Department of Anaesthesiology and Intensive Care Medicine, Cologne-Merheim Medical Centre, Witten/Herdecke University, Cologne-Merheim, Germany.
  • Patrick Meybohm
    Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Frankfurt, Germany.
  • Johannes Herrmann
    Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University Wuerzburg, Wuerzburg, Germany.
  • Nisar Malek
    Department of Internal Medicine I, University Hospital, University of Tübingen, Tübingen, Germany.
  • Oliver Kohlbacher
    Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Stephanie Biergans
    Institute for Translational Bioinformatics and Medical Data Integration Center, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Tübingen, Germany.
  • Peter Rosenberger
    Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard-Karls-University Tübingen, Hoppe Seyler Str. 3, 72076, Tübingen, Germany. peter.rosenberger@med.uni-tuebingen.de.