慢性卒中失语症白质高密度严重程度的纵向进展

Natalie Busby PhD , Roger Newman-Norlund PhD , Janina Wilmskoetter PhD , Lisa Johnson PhD , Chris Rorden PhD , Makayla Gibson BS , Rebecca Roth BA , Sarah Wilson MA , Julius Fridriksson PhD , Leonardo Bonilha MD, PhD
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引用次数: 1

摘要

目的确定慢性中风幸存者小血管疾病的纵向进展是否与慢性失语症严重程度的纵向恶化有关。使用法泽卡斯量表在流体增强反转恢复(FLAIR)扫描中评估作为小血管疾病标志的白质高密度(WMHs)的严重程度,并对深部WMHs(DWMHs)和脑室周围WMHs(PVHs)进行评分。本研究包括 49 名患有失语症的慢性中风幸存者的数据(N=49;15 名女性,34 名男性,年龄范围=32-81 岁,中风后 6 个月,中风类型:[缺血性 46 例,出血性 3 例],居住在社区)。干预措施不适用。主要结果测量计算时间点之间白质高密度严重程度的变化(使用 Fazekas 量表计算)和失语严重程度的变化(Western Aphasia Battery 评分差异)。分别使用逐步回归模型来确定 WMH 严重程度变化的预测因素,并将病变体积、年龄、时间点之间的时间、体重指数 (BMI) 和是否患有糖尿病作为自变量。其他逐步回归模型研究了失语症严重程度变化的预测因素,将 PVH 变化、DWMH 变化、病变体积、时间点之间的间隔时间和年龄作为独立预测因素。结果22.5% 的参与者(11/49)WMH 严重程度增加。体重指数的增加与 PVH 严重程度的增加有关(P=.007),而糖尿病的存在与 DWMH 严重程度的增加有关(P=.002)。25%的参与者的失语症严重程度增加,这与 PVH 严重程度增加显著相关(P<.001,16.8% 的变异解释)。这些发现支持了一个观点,即良好的心血管风险因素控制可能在预防失语症状长期恶化方面发挥重要作用。
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Longitudinal Progression of White Matter Hyperintensity Severity in Chronic Stroke Aphasia

Objective

To determine whether longitudinal progression of small vessel disease in chronic stroke survivors is associated with longitudinal worsening of chronic aphasia severity.

Design

A longitudinal retrospective study. Severity of white matter hyperintensities (WMHs) as a marker for small vessel disease was assessed on fluid-attenuated inversion recovery (FLAIR) scans using the Fazekas scale, with ratings for deep WMHs (DWMHs) and periventricular WMHs (PVHs).

Setting

University research laboratories.

Participants

This study includes data from 49 chronic stroke survivors with aphasia (N=49; 15 women, 34 men, age range=32-81 years, >6 months post-stroke, stroke type: [46 ischemic, 3 hemorrhagic], community dwelling). All participants completed the Western Aphasia Battery-Revised (WAB) and had FLAIR scans at 2 timepoints (average years between timepoints: 1.87 years, SD=3.21 years).

Interventions

Not applicable.

Main Outcome Measures

Change in white matter hyperintensity severity (calculated using the Fazekas scale) and change in aphasia severity (difference in Western Aphasia Battery scores) were calculated between timepoints. Separate stepwise regression models were used to identify predictors of WMH severity change, with lesion volume, age, time between timepoints, body mass index (BMI), and presence of diabetes as independent variables. Additional stepwise regression models investigated predictors of change in aphasia severity, with PVH change, DWMH change, lesion volume, time between timepoints, and age as independent predictors.

Results

22.5% of participants (11/49) had increased WMH severity. Increased BMI was associated with increases in PVH severity (P=.007), whereas the presence of diabetes was associated with increased DWMH severity (P=.002). Twenty-five percent of participants had increased aphasia severity which was significantly associated with increased severity of PVH (P<.001, 16.8% variance explained).

Conclusion

Increased small vessel disease burden is associated with contributing to chronic changes in aphasia severity. These findings support the idea that good cardiovascular risk factor control may play an important role in the prevention of long-term worsening of aphasic symptoms.

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