Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series.

Journal: Anaesthesia, critical care & pain medicine
PMID:

Abstract

BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) clinical trajectories. We hypothesized that physiological time series (PTS) data recorded on the first day of intensive care would contribute significantly to discrimination of outcomes at discharge.

Authors

  • Han B Kim
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Laboratory of Computational Intensive Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Hieu T Nguyen
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA; Laboratory of Computational Intensive Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Qingchu Jin
    Roux Institute, Northeastern University, Portland, ME, United States.
  • Sharmila Tamby
    Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Tatiana Gelaf Romer
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Eric Sung
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Ran Liu
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Joseph L Greenstein
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Jose I Suarez
    Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Christian Storm
    Department of Nephrology and Intensive Care Medicine, Charité-Universitätsmedizin, Berlin, Germany.
  • Raimond L Winslow
    Department of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Robert D Stevens
    Department of Anesthesia and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States.