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White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype

  • Anne Katrin Giese
  • , Markus D. Schirmer
  • , Adrian V. Dalca
  • , Ramesh Sridharan
  • , Kathleen L. Donahue
  • , Marco Nardin
  • , Robert Irie
  • , Elissa C. McIntosh
  • , Steven J.T. Mocking
  • , Huichun Xu
  • , John W. Cole
  • , Eva Giralt-Steinhauer
  • , Jordi Jimenez-Conde
  • , Christina Jern
  • , Dawn O. Kleindorfer
  • , Robin Lemmens
  • , Johan Wasselius
  • , Arne Lindgren
  • , Tatjana Rundek
  • , Ralph L. Sacco
  • Reinhold Schmidt, Pankaj Sharma, Agnieszka Slowik, Vincent Thijs, Bradford B. Worrall, Daniel Woo, Steven J. Kittner, Patrick F. McArdle, Braxton D. Mitchell, Jonathan Rosand, James F. Meschia, Ona Wu, Polina Golland, Natalia S. Rost
  • Harvard University
  • The Broad Institute of MIT and Harvard
  • Massachusetts Institute of Technology
  • German Center for Neurodegenerative Diseases
  • Massachusetts General Hospital
  • University of Maryland, Baltimore
  • Autonomous University of Barcelona
  • University of Gothenburg
  • University of Cincinnati
  • KU Leuven
  • Lund University
  • University of Miami
  • Medical University of Graz
  • Royal Holloway University of London
  • Ashford and St Peter's Hospitals NHS Foundation Trust
  • Jagiellonian University Medical College
  • University of Melbourne
  • Austin Health
  • University of Virginia
  • Mayo Clinic Florida

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

ObjectiveTo examine etiologic stroke subtypes and vascular risk factor profiles and their association with white matter hyperintensity (WMH) burden in patients hospitalized for acute ischemic stroke (AIS).MethodsFor the MRI Genetics Interface Exploration (MRI-GENIE) study, we systematically assembled brain imaging and phenotypic data for 3,301 patients with AIS. All cases underwent standardized web tool-based stroke subtyping with the Causative Classification of Ischemic Stroke (CCS). WMH volume (WMHv) was measured on T2 brain MRI scans of 2,529 patients with a fully automated deep-learning trained algorithm. Univariable and multivariable linear mixed-effects modeling was carried out to investigate the relationship of vascular risk factors with WMHv and CCS subtypes.ResultsPatients with AIS with large artery atherosclerosis, major cardioembolic stroke, small artery occlusion (SAO), other, and undetermined causes of AIS differed significantly in their vascular risk factor profile (all p < 0.001). Median WMHv in all patients with AIS was 5.86 cm3 (interquartile range 2.18-14.61 cm3) and differed significantly across CCS subtypes (p < 0.0001). In multivariable analysis, age, hypertension, prior stroke, smoking (all p < 0.001), and diabetes mellitus (p = 0.041) were independent predictors of WMHv. When adjusted for confounders, patients with SAO had significantly higher WMHv compared to those with all other stroke subtypes (p < 0.001).ConclusionIn this international multicenter, hospital-based cohort of patients with AIS, we demonstrate that vascular risk factor profiles and extent of WMH burden differ by CCS subtype, with the highest lesion burden detected in patients with SAO. These findings further support the small vessel hypothesis of WMH lesions detected on brain MRI of patients with ischemic stroke.

Original languageEnglish
Pages (from-to)79-88
Number of pages10
JournalNeurology
Volume95
Issue number1
DOIs
StatePublished - Jul 7 2020

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