Total small vessel disease score and functional outcomes following acute intracerebral hemorrhage

Yoko Kimura1, Kaori Miwa2, Junji Takasugi3

  • 1Department of Neurology, Osaka University Graduate School of Medicine, Osaka, Japan.

Insights

The cumulative burden of small vessel disease (SVD) may predict poor outcomes after intracerebral hemorrhage (ICH). A higher SVD score indicates a greater risk of worse functional recovery following ICH.

Area of Science:

  • Neurology
  • Radiology
  • Vascular Neurology

Background:

  • Cerebral small vessel disease (SVD) markers are known predictors of poor prognosis after intracerebral hemorrhage (ICH).
  • The cumulative impact of SVD burden on patient outcomes following ICH requires further investigation.

Purpose of the Study:

  • To investigate the association between the global SVD burden and functional outcomes in patients with ICH.
  • To determine if a cumulative SVD score can predict poor functional outcomes after ICH.

Main Methods:

  • Retrospective analysis of 144 patients with ICH who underwent brain MRI and MRA.
  • Calculation of a modified total SVD score (0-4) based on SVD markers (cerebral microbleeds, lacunar infarctions, periventricular and deep white matter hyperintensities).
  • Multivariate logistic regression analysis to assess the association between SVD score and poor functional outcomes (modified Rankin Scale score ≥ 3).

Main Results:

  • The modified total SVD score showed a potential association with poor functional outcomes (OR 1.72, 95% CI 0.97-3.03) after adjusting for clinical factors.
  • In older patients (≥ 65 years), the SVD score was significantly associated with poor outcomes (OR 3.11, 95% CI 1.01-9.55).
  • The SVD score remained significant for predicting poor outcomes in patients with supratentorial ICH (OR 2.06, 95% CI 1.11-3.83).

Conclusions:

  • The modified total SVD score may serve as a valuable predictive tool for poor functional outcomes after intracerebral hemorrhage.
  • Assessing the cumulative SVD burden can aid in risk stratification and management of ICH patients.
Abstract