Jochems Angela C C, Muñoz Maniega Susana, Clancy Una, Arteaga-Reyes Carmen, Jaime Garcia Daniela, Chappell Francesca M, Hamilton Olivia K L, Backhouse Ellen V, Barclay Gayle, Jardine Charlotte, McIntyre Donna, Hamilton Iona, Sakka Eleni, Valdés Hernández Maria Del C, Wiseman Stewart, Bastin Mark E, Stringer Michael S, Thrippleton Michael, Doubal Fergus, Wardlaw Joanna M
Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.
UK Dementia Research Institute, University of Edinburgh, United Kingdom.
Neurology. 2025 Feb 25;104(4):e213323. doi: 10.1212/WNL.0000000000213323. Epub 2025 Feb 3.
White matter hyperintensities (WMHs) are the commonest imaging marker of cerebral small vessel disease (SVD) and a major cause of cognitive decline and vascular dementia. WMHs typically accumulate over time, but recent studies show they can also regress, but potential clinical benefits have received little attention. We examined progressing, stable, and regressing WMH in people with stroke-related SVD and the effect on cognitive outcomes.
We recruited patients with minor nondisabling ischemic stroke (modified Rankin score ≤2) from stroke services into our prospective longitudinal observational study. Participants underwent cognitive assessment and brain MRI within 3-month poststroke and 1 year later. We gathered information on vascular risk factors, stroke severity, global cognition (Montreal Cognitive Assessment [MoCA]), processing speed and executive functioning (Trail Making Test [TMT] A and B, and the B/A ratio with ratio ≥3 reflecting executive dysfunction), and the Letter Digit Substitution Test. We measured WMH volumes at baseline and 1 year and categorized net WMH volume change into quintiles: Q1 (most regression), Q3 (stable), and Q5 (most progression). We applied repeated-measures linear mixed models to analyze longitudinal WMH and cognitive changes, adjusting for age, sex, premorbid intelligence, stroke severity, disability, white matter structural integrity, and baseline WMH volume.
One hundred ninety-eight of 229 participants had WMH volumes available at both time-points. At baseline, the mean age was 67.5 years (SD = 10.9), with 33% female. Mean net WMH volume change per quintile was Q1 -1.79 mL (SD = 1.54), Q2 -0.27 mL (0.20), Q3 0.35 mL (0.18), Q4 1.43 mL (0.48), and Q5 5.31 mL (3.07). MoCA deteriorated the most in participants with most WMH progression (Q5) (estimated β -0.428 [95% CI -0.750 to -0.106]), compared with stable WMH (Q3), with no clear deterioration in those with most WMH regression (Q1). TMT B/A ratio improved in participants with most WMH regression (Q1; -0.385 [-0.758 to -0.012]).
WMH regression was associated with preserved global cognition and improved executive function, compared with stable WMH, while WMH progression was associated with global cognitive decline. Cognitive benefits of WMH regression suggest that WMH-affected tissue can recover, may explain variance in cognitive outcomes, offer an important intervention target, and should be assessed in other populations and longer follow-up times.
脑白质高信号(WMHs)是脑小血管病(SVD)最常见的影像学标志物,也是认知功能减退和血管性痴呆的主要原因。WMHs通常会随时间积累,但最近的研究表明它们也可能消退,不过其潜在的临床益处很少受到关注。我们研究了与中风相关的SVD患者中进展性、稳定性和消退性WMH情况以及对认知结局的影响。
我们从中风服务机构招募了轻度非致残性缺血性中风(改良Rankin量表评分≤2)患者,纳入我们的前瞻性纵向观察研究。参与者在中风后3个月内及1年后接受认知评估和脑部MRI检查。我们收集了血管危险因素、中风严重程度、整体认知(蒙特利尔认知评估[MoCA])、处理速度和执行功能(连线测验[TMT]A和B,B/A比值≥3反映执行功能障碍)以及字母数字替换测验等信息。我们在基线和1年时测量WMH体积,并将WMH体积净变化分为五个五分位数:Q1(消退最多)、Q3(稳定)和Q5(进展最多)。我们应用重复测量线性混合模型分析纵向WMH和认知变化,并对年龄、性别、病前智力、中风严重程度、残疾、白质结构完整性和基线WMH体积进行校正。
229名参与者中有198名在两个时间点都有可用的WMH体积数据。基线时,平均年龄为67.5岁(标准差 = 10.9),女性占33%。每个五分位数的平均WMH体积净变化为:Q1 -1.79 mL(标准差 = 1.54),Q2 -0.27 mL(0.20),Q3 0.35 mL(0.18),Q4 1.43 mL(0.48),Q5 5.31 mL(3.07)。与稳定的WMH(Q3)相比,WMH进展最多的参与者(Q5)的MoCA恶化最严重(估计β -0.428 [95%可信区间 -0.750至 -0.106]),而WMH消退最多的参与者(Q1)没有明显恶化。在WMH消退最多的参与者(Q1;-0.385 [-0.758至 -0.012])中,TMT B/A比值有所改善。
与稳定的WMH相比,WMH消退与整体认知保留和执行功能改善相关,而WMH进展与整体认知下降相关。WMH消退的认知益处表明受WMH影响的组织可以恢复,可能解释认知结局的差异,提供一个重要的干预靶点,并且应该在其他人群和更长的随访时间中进行评估。