Brain edema predicts outcome after nonlacunar ischemic stroke.

Brain edema predicts outcome after nonlacunar ischemic stroke.
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DOI:
10.1161/strokeaha.114.006884
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发表时间:
2014-12
期刊:
影响因子:
8.3
通讯作者:
Kimberly WT
Kimberly WT
中科院分区:
医学1区
文献类型:
--
作者:
Battey TW;Karki M;Singhal AB;Wu O;Sadaghiani S;Campbell BC;Davis SM;Donnan GA;Sheth KN;Kimberly WT

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In malignant infarction, brain edema leads to secondary neurological deterioration and poor outcome. We sought to determine whether swelling is associated with outcome in smaller volume strokes. Two research cohorts of acute stroke subjects with serial brain magnetic resonance imaging (MRI) were analyzed. The categorical presence of swelling and/or infarct growth was assessed on diffusion weighted imaging (DWI) by comparing baseline and follow-up scans. The increase in stroke volume (ΔDWI) was then subdivided into swelling and infarct growth volumes using region-of-interest analysis. The relationship of these imaging markers with outcome was evaluated in univariable and multivariable regression. The presence of swelling independently predicted worse outcome after adjustment for age, NIH stroke scale, admission glucose, and baseline DWI volume(OR4.55, 95%CI1.21-18.9, p < 0.02). Volumetric analysis confirmed ΔDWI was associated with outcome (OR4.29, 95%CI 2.00-11.5, p < 0.001). After partitioning ΔDWI into swelling and infarct growth volumetrically, swelling remained an independent predictor of poor outcome (OR1.09, 95%CI 1.03-1.17, p < 0.005). Larger infarct growth was also associated with poor outcome (OR7.05, 95%CI 1.04-143, p < 0.045), although small infarct growth was not. The severity of cytotoxic injury measured on apparent diffusion coefficient maps was associated with swelling, whereas the perfusion deficit volume was associated with infarct growth. Swelling and infarct growth each contribute to total stroke lesion growth in the days following stroke. Swelling is an independent predictor of poor outcome, with abrain swelling volume of ≥11mL identified as the threshold with greatest sensitivity and specificity for predicting poor outcome.