白质疏松症
医学
置信区间
冲程(发动机)
比例危险模型
白质
心脏病学
内科学
危险系数
中枢神经系统疾病
磁共振成像
放射科
机械工程
工程类
作者
Gyeong‐Moon Kim,Kwang‐Yeol Park,Ross Avery,Johanna Helenius,Natalia S. Rost,Jonathan Rosand,Bruce R. Rosen,Hakan Ay
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2013-12-27
卷期号:45 (2): 479-485
被引量:72
标识
DOI:10.1161/strokeaha.113.003004
摘要
The integrity of white matter tracts connecting different parts of the brain is important for rapid compensation for the lost function from ischemic stroke. Impaired white matter reserve capacity secondary to leukoaraiosis may facilitate detection of new symptomatic ischemic events that would otherwise remain inconspicuous after an initial ischemic stroke. We sought to identify whether the extent of leukoaraiosis was a predictor of risk of early stroke recurrence.We used Cox regression analysis in consecutive patients with ischemic stroke to determine the relationship between leukoaraiosis burden and symptomatic stroke recurrence within 90 days. We graded total leukoaraiosis, periventricular leukoaraiosis, and subcortical leukoaraiosis using the Fazekas scale as mild (<2) and extensive (≥2) on fluid-attenuated inversion recovery images obtained within 72 hours of stroke onset in the hemisphere contralateral to acute stroke.There were 106 recurrent events in 2378 patients. The cumulative incidence of recurrence was 5.9% at 90 days. Kaplan-Meier estimate of recurrence-free survival rate was lower in patients with extensive leukoaraiosis (P=0.04) and extensive periventricular leukoaraiosis (P=0.02) but not in extensive subcortical leukoaraiosis (P=0.09). Multivariable Cox regression analysis revealed a hazard ratio of 1.50 (95% confidence interval, 1.00-2.25) for extensive leukoaraiosis, 1.67 (95% confidence interval, 1.11-2.51) for extensive periventricular leukoaraiosis, and 1.42 (95% confidence interval, 0.94-2.12) for extensive subcortical leukoaraiosis.The extent of leukoaraiosis independently predicts 90-day recurrent stroke risk after ischemic stroke. This suggests that leukoaraiosis may be used for risk stratification in ischemic stroke.
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