The prevalence and risk factor analysis of silent brain infarction in patients with first-ever ischemic stroke

J Neurol Sci. 2010 Jun 15;293(1-2):97-101. doi: 10.1016/j.jns.2010.02.025. Epub 2010 Mar 30.

Abstract

Background: To evaluate the prevalence and to identify the risk factors of silent brain infarction (SBI) in patients with ischemic stroke.

Methods: A total of 395 consecutive patients with first-ever ischemic stroke that underwent brain MRI were enrolled in this study. The prevalences of vascular risk factors in a SBI-positive (n=132) and in a SBI-negative group (n=263) were compared. The prevalences and characteristics of SBI were further evaluated with respect to stroke subtype and periventricular white-matter hyperintensity (PWMH) lesion.

Results: The frequency of SBI among the 395 study subjects was 33.4%, and 10.1% of the study subjects had multiple-SBI lesions. The most common lesion site was basal ganglia (47%). Multiple logistic regression analysis showed that hypertension (OR: 1.94, 95% CI: 1.22-3.07, P=0.005) and the presence of an advanced PWMH lesion (OR: 1.77, 95% CI: 1.06-2.96, P=0.030) were significantly associated with SBI. Furthermore, an advanced PWMH lesion (OR: 2.88, 95% CI: 1.19-6.95, P=0.010) was more associated with multiple-SBI lesions than with a single-SBI lesion. The frequency of SBI was higher among those with the small-vessel disease type (45.5%) than in those with the large-artery disease (32.5%) or cardioembolic stroke type (25.6%) (P=0.04).

Conclusions: The prevalence of SBI in patients with ischemic stroke was found to be high, and hypertension was found to be the most important risk factor of SBI. Small-vessel disease and a diffuse white-matter lesion were found to be closely associated with SBI, and especially with multiple-SBI lesions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Analysis of Variance
  • Brain / pathology
  • Brain Infarction / epidemiology*
  • Brain Infarction / etiology
  • Brain Infarction / pathology
  • Female
  • Humans
  • Logistic Models
  • Magnetic Resonance Imaging / methods
  • Male
  • Middle Aged
  • Nerve Fibers, Myelinated / pathology
  • Prevalence
  • Risk Factors
  • Stroke / classification
  • Stroke / complications
  • Stroke / epidemiology*