Machine learning predicts cerebral vasospasm in patients with subarachnoid haemorrhage.

Journal: EBioMedicine
Published Date: Jun 19, 2024

Abstract

BACKGROUND: Cerebral vasospasm (CV) is a feared complication which occurs after 20-40% of subarachnoid haemorrhage (SAH). It is standard practice to admit patients with SAH to intensive care for an extended period of resource-intensive monitoring. We used machine learning to predict CV requiring verapamil (CVRV) in the largest and only multi-center study to date.

Authors

  • David A Zarrin
    David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
  • Abhinav Suri
    Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: suria@sas.upenn.edu.
  • Karen McCarthy
    Department of Anesthesiology, Vanderbilt University Medical Center, USA.
  • Bilwaj Gaonkar
    Center for Biomedical Image Computing and Analytics, United States. Electronic address: bilwaj@gmail.com.
  • Bayard R Wilson
    Department of Neurological Surgery at University of California, Los Angeles Health, USA.
  • Geoffrey P Colby
    Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States.
  • Robert E Freundlich
    Anesthesiology Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
  • Eilon Gabel

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