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慢性卒中失语症患者白质高信号严重程度的纵向进展

Longitudinal Progression of White Matter Hyperintensity Severity in Chronic Stroke Aphasia.

作者信息

Busby Natalie, Newman-Norlund Roger, Wilmskoetter Janina, Johnson Lisa, Rorden Chris, Gibson Makayla, Roth Rebecca, Wilson Sarah, Fridriksson Julius, Bonilha Leonardo

机构信息

Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC.

Department of Psychology, University of South Carolina, Columbia, SC.

出版信息

Arch Rehabil Res Clin Transl. 2023 Oct 5;5(4):100302. doi: 10.1016/j.arrct.2023.100302. eCollection 2023 Dec.

Abstract

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, =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 (=.007), whereas the presence of diabetes was associated with increased DWMH severity (=.002). Twenty-five percent of participants had increased aphasia severity which was significantly associated with increased severity of PVH (<.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.

摘要

目的

确定慢性中风幸存者中小血管疾病的纵向进展是否与慢性失语严重程度的纵向恶化相关。

设计

纵向回顾性研究。使用Fazekas量表在液体衰减反转恢复(FLAIR)扫描上评估作为小血管疾病标志物的白质高信号(WMH)的严重程度,对深部WMH(DWMH)和脑室周围WMH(PVH)进行评分。

设置

大学研究实验室。

参与者

本研究纳入了49名慢性中风后失语症幸存者的数据(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:[46例缺血性,3例出血性],居住在社区)。所有参与者均完成了西方失语症成套测验修订版(WAB),并在两个时间点进行了FLAIR扫描(时间点之间的平均间隔年数:1.87年,标准差 = 3.21年)。

干预措施

不适用。

主要观察指标

计算两个时间点之间白质高信号严重程度的变化(使用Fazekas量表计算)和失语严重程度的变化(西方失语症成套测验分数的差异)。使用单独的逐步回归模型来确定WMH严重程度变化的预测因素,将病变体积、年龄、时间点之间的时间、体重指数(BMI)和糖尿病的存在作为自变量。额外的逐步回归模型研究了失语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。BMI增加与PVH严重程度增加相关(P = 0.007),而糖尿病的存在与DWMH严重程度增加相关(P = 0.002)。25%的参与者失语严重程度增加,这与PVH严重程度增加显著相关(P < 0.001,解释方差的16.8%)。

结论

小血管疾病负担增加与失语严重程度的慢性变化有关。这些发现支持了良好的心血管危险因素控制可能在预防失语症状长期恶化中起重要作用的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65ff/10757197/236745bf7e1d/gr1.jpg

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