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Updated: Feb 11, 2026

A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
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Impact of white matter hyperintensities on the prognosis of cryptogenic stroke patients

Seong Ho Jeong1, Sung Soo Ahn2, Minyoul Baik1

  • 1Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.

Plos One
|April 28, 2018
PubMed

Insights

Severe white matter hyperintensities (WMH) predict poor short-term outcomes in cryptogenic stroke (CS) patients. In younger CS patients, severe WMH also predict long-term mortality, aiding prognosis prediction.

Area of Science:

  • Neurology
  • Neuroimaging
  • Stroke Medicine

Background:

  • Limited understanding of white matter hyperintensities (WMH) impact on cryptogenic stroke (CS) prognosis.
  • Investigating WMH association with CS patient outcomes is crucial for prognosis prediction.

Purpose of the Study:

  • To determine if severe white matter hyperintensities (WMH) affect the prognosis of cryptogenic stroke (CS) patients.
  • To assess the association of WMH with short-term functional outcomes and long-term mortality in CS patients.

Main Methods:

  • Retrospective observational study of consecutive cryptogenic stroke (CS) patients.
  • Brain MRI for severe white matter hyperintensities (WMH) (Fazekas' score ≥3) and cardiac evaluation.
  • Assessment of poor functional outcome (modified Rankin Scale score ≥3 at 3 months) and long-term mortality via national death certificates.

Main Results:

  • Severe WMH independently predicted poor functional outcomes at 3 months in CS patients (OR 5.25).
  • Severe WMH independently predicted long-term mortality in younger CS patients (<65 years) (HR 3.11).
  • No significant association between severe WMH and long-term mortality was found in older CS patients.

Conclusions:

  • Severe white matter hyperintensities (WMH) are independently associated with short-term functional outcomes in cryptogenic stroke (CS) patients.
  • Severe WMH are independently associated with long-term mortality specifically in younger CS patients.
  • WMH grading is valuable for predicting prognosis in younger CS patients.
Abstract

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