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脑动脉搏动、血管周围空间扩张与脑白质病变的 5 年相关性研究。

5-Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions.

机构信息

Department of Radiation Sciences, Umeå University, Umeå, Sweden.

Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.

出版信息

Ann Neurol. 2022 Nov;92(5):871-881. doi: 10.1002/ana.26475. Epub 2022 Aug 24.

Abstract

OBJECTIVE

High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal ordering among these variables, with emphasis on determining whether high PI is an early or delayed manifestation of SVD.

METHODS

In a population-based cohort, 4D flow MRI data for cerebral arterial pulsatility was collected for 159 participants at baseline (age 64-68), and for 122 participants at follow-up 5 years later. Structural MRI was used for WML and PVS segmentation, and lacune identification. Linear mixed-effects (LME) models were used to model longitudinal changes testing for pairwise associations, and latent change score (LCS) models to model multiple relationships among variables simultaneously.

RESULTS

Longitudinal 5-year increases were found for WML, PVS, and PI. Cerebral arterial PI at baseline did not predict changes in WML or PVS volume. However, WML and PVS volume at baseline predicted 5-year increases in PI. This was shown for PI increases in relation to baseline WML and PVS volumes using LME models (R   0.24; p < 0.02 and R   0.23; p < 0.03, respectively) and LCS models (  = 0.28; p = 0.015 and  = 0.28; p = 0.009, respectively). Lacunes at baseline were unrelated to PI.

INTERPRETATION

In healthy older adults, indicators of SVD are related in a lead-lag fashion, in which the expression of WML and PVS precedes increases in cerebral arterial PI. Hence, we propose that elevated PI is a relatively late manifestation, rather than a risk factor, for cerebral SVD. ANN NEUROL 2022;92:871-881.

摘要

目的

大脑中动脉搏动指数(PI)升高、脑白质病变(WML)、扩大的血管周围间隙(PVS)和腔隙性梗死是老年人群中的常见表现,被认为是小血管疾病(SVD)的指标。在这里,我们研究了这些变量之间潜在的时间顺序,重点是确定高 PI 是否是 SVD 的早期或晚期表现。

方法

在一项基于人群的队列研究中,对 159 名参与者在基线时(64-68 岁)进行了大脑动脉搏动的 4D 流 MRI 数据采集,并对 122 名参与者在 5 年后的随访时进行了采集。结构 MRI 用于 WML 和 PVS 分割以及腔隙识别。线性混合效应(LME)模型用于测试成对关联的纵向变化模型,潜变量变化得分(LCS)模型用于同时模拟多个变量之间的关系。

结果

发现 WML、PVS 和 PI 均出现 5 年的纵向增加。基线时的大脑动脉 PI 并不能预测 WML 或 PVS 体积的变化。然而,基线时的 WML 和 PVS 体积可以预测 5 年内 PI 的增加。这在使用 LME 模型(R2=0.24;p<0.02 和 R2=0.23;p<0.03)和 LCS 模型(β=0.28;p=0.015 和 β=0.28;p=0.009)时,PI 与基线时的 WML 和 PVS 体积相关。基线时的腔隙与 PI 无关。

结论

在健康的老年人群中,SVD 的指标呈前后关系,其中 WML 和 PVS 的表达先于大脑动脉 PI 的增加。因此,我们提出,PI 升高是大脑 SVD 的一种相对晚期表现,而不是危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ad2/9804392/b6521397f686/ANA-92-871-g001.jpg

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