Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm.

Journal: Critical care (London, England)
PMID: 33632280

Abstract

BACKGROUND: Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for predicting neurological outcome following out-of-hospital cardiac arrest (OHCA) using artificial neural network (ANN) with and without biomarkers.

Authors

  • Peder Andersson
    Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Skåne University Hospital, Lund University, Lund, Sweden.
  • Jesper Johnsson
    Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Helsingborg Hospital, Lund University, Helsingborg, Sweden. jesper.johnsson@skane.se.
  • Ola Björnsson
    Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden.
  • Tobias Cronberg
    Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Lund University, Lund, Sweden.
  • Christian Hassager
    Department of Cardiology, The Heart Centre, Rigshospitalet University Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Henrik Zetterberg
    Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, University of Gothenburg, Mölndal, Sweden.
  • Pascal Stammet
    Medical and Health Directorate, National Fire and Rescue Corps, 1, rue Robert Stumper, 2557, Luxembourg, Luxembourg.
  • Johan Undén
    Department of Clinical Sciences Malmö, Anaesthesia and Intensive Care, Lund University, Hallands Hospital Halmstad, Halland, Sweden.
  • Jesper Kjaergaard
    Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Hans Friberg
    Department of Clinical Sciences Lund, Intensive and Perioperative Care, Skåne University Hospital, Lund University, Malmö, Sweden.
  • Kaj Blennow
    Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, University of Gothenburg, Mölndal, Sweden.
  • Gisela Lilja
    Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Lund University, Lund, Sweden.
  • Matt P Wise
    Adult Critical Care, University Hospital of Wales, Cardiff, UK.
  • Josef Dankiewicz
    Department of Clinical Sciences Lund, Cardiology, Lund University, Skåne University Hospital, Lund, Sweden.
  • Niklas Nielsen
    Department of Clinical Sciences Lund, Anesthesia & Intensive Care, Helsingborg Hospital, Lund University, Helsingborg, Sweden.
  • Attila Frigyesi
    Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden.

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