Association of White Matter Hyperintensities With Short-Term Outcomes in Patients With Minor Cerebrovascular Events

Charlotte Zerna1, Amy Y X Yu2, Jayesh Modi2

  • 1From the Department of Clinical Neurosciences (C.Z., A.Y.X.Y., S.K.P, J.I.C., E.E.S., S.B.C.) and the Hotchkiss Brain Institute (E.E.S., S.B.C.), University of Calgary, Alberta, Canada; and Medanta - The Medicity Hospital, Gurgaon, India (J.M.). charlotte.zerna@ucalgary.ca.

Stroke
|March 16, 2018
PubMed
Abstract

Insights

White matter lesions (WML) significantly predict poor outcomes in patients with transient ischemic attack (TIA) or minor stroke. Both quantitative and qualitative WML assessments effectively identify patients at higher risk for disability.

Area of Science:

  • Neurology
  • Neuroimaging
  • Vascular Neurology

Background:

  • White matter lesions (WML) are linked to cognitive decline, stroke risk, and disability in older adults.
  • Preexisting chronic white matter injury (leukoaraiosis) may worsen outcomes after acute cerebrovascular events.
  • Assessing WML volume and severity is crucial for understanding stroke risk and prognosis.

Purpose of the Study:

  • To investigate the association between white matter lesion burden and patient outcomes after transient ischemic attack (TIA) or minor stroke.
  • To compare quantitative (volumetric) and qualitative (Fazekas scale) WML assessments.
  • To determine if acute cerebrovascular occlusion superimposed on chronic injury impacts outcomes.

Main Methods:

  • Analyzed data from 412 patients with TIA or minor stroke from the CATCH study.
  • Assessed white matter lesion (WML) volume using quantitative MRI and qualitative Fazekas scale.
  • Evaluated primary outcome (disability at 90 days) and secondary outcomes (stroke/TIA recurrence) using regression models.

Main Results:

  • Higher Fazekas scores strongly correlated with increased WML volume (r=0.79).
  • Both higher Fazekas scores and WML volume were associated with 90-day disability in univariate analysis.
  • Multivariable analysis revealed an additive interaction associated with unfavorable outcomes (aOR 3.99).

Conclusions:

  • Quantitative and qualitative WML assessments are highly correlated and comparable in TIA/minor stroke patients.
  • WML burden is a significant predictor of short-term outcomes in patients with intracranial stenosis/occlusion.
  • WML assessment aids in identifying high-risk patients for TIA and minor stroke.

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