Using clinical data to reclassify ESUS patients to large artery atherosclerotic or cardioembolic stroke mechanisms.

Journal: Journal of neurology
PMID:

Abstract

PURPOSE: Embolic stroke of unidentified source (ESUS) represents 10-25% of all ischemic strokes. Our goal was to determine whether ESUS could be reclassified to cardioembolic (CE) or large-artery atherosclerosis (LAA) with machine learning (ML) using conventional clinical data.

Authors

  • Lauren Klein-Murrey
    Department of Neurology, Harborview Medical Center, University of Washington School of Medicine, 325 Ninth Avenue, Seattle, WA, USA.
  • David L Tirschwell
    Department of Neurology, University of Washington, Seattle, Washington, USA.
  • Daniel S Hippe
    Department of Radiology University of Washington Seattle WA.
  • Mona Kharaji
    Vascular Imaging Lab, Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Cristina Sanchez-Vizcaino
    Vascular Imaging Lab, Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Brooke Haines
    Department of Neurology, Harborview Medical Center, University of Washington School of Medicine, 325 Ninth Avenue, Seattle, WA, USA.
  • Niranjan Balu
    Department of Radiology, University of Washington, Seattle, WA 98195, United States.
  • Thomas S Hatsukami
    Department of Surgery University of Washington Seattle WA.
  • Chun Yuan
    Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China; Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, USA.
  • Nazem W Akoum
    Department of Cardiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Eardi Lila
    Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Mahmud Mossa-Basha
    Department of Radiology, University of Washington School of Medicine, Seattle, WA.