Association Between Enlarged Perivascular Spaces and Early Acute Ischemic Stroke with Cognitive Impairment: A Cross-Sectional Study.

IF 2.5 4区 医学 Q3 NEUROSCIENCES Journal of integrative neuroscience Pub Date : 2024-09-30 DOI:10.31083/j.jin2310187
Yu Tu, Jiewei Peng, Xuan Gong, Peipei Zhu, Chengtao Zhang, Yuqi Liu, Rong Huang, Baizhu Li, Wenyan Zhuo
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Abstract

Background: Enlarged perivascular spaces (EPVSs) are commonly detected via magnetic resonance imaging. It is unclear whether EPVSs are associated with cognitive impairment within one month after an acute ischemic stroke (AIS) (i.e., early AIS with cognitive impairment (EAIS-CI)). This study explored the severity and location of EPVSs and their association with EAIS-CI severity and provides clinicians with early warning indicators before the onset of typical clinical symptoms in the Chinese population.

Methods: The clinical data of 208 patients (176 AIS patients and 32 controls) were prospectively analyzed using the Montreal Cognitive Assessment Beijing version (MoCA-BJ) score as the primary group criterion and the Mini-Mental State Examination (MMSE) score as a supplementary criterion. When EPVS I as the main EPVS type detected by imaging, the basal ganglia (BG) is the area most severely affected. Statistical analysis was conducted on the relevant clinical data.

Results: AIS patients were grouped based on MoCA-BJ scores. Age (p < 0.01), education level (p = 0.02), EPVS I as the main EPVS type (p < 0.01), the number of right-sided BG-EPVSs (p = 0.04), white matter hyperintensities (WMHs) (Fazekas scores: p = 0.02), brain atrophy (global cortical atrophy scores: p < 0.01, Koedam posterior atrophy visual scale scores: p = 0.01, medial temporal lobe atrophy scores: p < 0.01) and AIS lesion volume (p = 0.01) were significantly greater in the EAIS-CI group than in the EAIS without cognitive impairment group. The cognitive domains of attention (p = 0.04) and orientation (p < 0.01) were more closely associated with EPVS I as the main EPVS type. However, multivariate regression analysis did not identify EPVS I as the main EPVS type as the main risk factor for EAIS-CI (p = 0.098). Grouping by MMSE scores revealed that EPVS I as the main EPVS type was linked to low education level (p < 0.01) and was significantly associated with EAIS in individuals with cognitive dementia (p < 0.01).

Conclusions: As a result of multiple factors, EAIS-CI is significantly associated with a low education level, BG-EPVS, WMHs, and worsening brain atrophy severity. Imaging markers, such as the severity of BG-EPVS, can assist in the early diagnosis and assessment of EAIS-CI.

Clinical trial registration: The study was registered with the China Clinical Trial Registry (https://www.chictr.org.cn/), registration number: ChiCTR2000038819.

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血管周围间隙增大与早期急性缺血性脑卒中伴认知障碍之间的关系:一项横断面研究
背景:血管周围间隙增大(EPVS)通常是通过磁共振成像检测到的。目前尚不清楚 EPVS 是否与急性缺血性卒中(AIS)后一个月内的认知功能障碍(即早期 AIS 伴认知功能障碍(EAIS-CI))相关。本研究探讨了 EPVS 的严重程度、位置及其与 EAIS-CI 严重程度的关系,为临床医生提供了中国人群典型临床症状出现前的早期预警指标:以蒙特利尔认知评估北京版(MoCA-BJ)评分作为主要分组标准,以迷你精神状态检查(MMSE)评分作为辅助标准,对208名患者(176名AIS患者和32名对照组)的临床资料进行了前瞻性分析。当影像学检测到 EPVS I 为主要 EPVS 类型时,基底节(BG)是受影响最严重的区域。对相关临床数据进行了统计分析:根据 MoCA-BJ 评分对 AIS 患者进行分组。年龄(p < 0.01)、受教育程度(p = 0.02)、EPVS I 为主要 EPVS 类型(p < 0.01)、右侧 BG-EPVS 数量(p = 0.04)、白质高密度(WMHs)(Fazekas 评分:p = 0.02)、脑萎缩(整体皮质萎缩评分:p < 0.01,Koedam 后部萎缩视觉量表评分:p = 0.01,内侧颞叶萎缩评分:p < 0.01)和 AIS 病变体积(p = 0.01)在 EAIS-CI 组明显大于无认知障碍 EAIS 组。注意力(p = 0.04)和定向力(p < 0.01)这两个认知领域与作为主要 EPVS 类型的 EPVS I 关系更为密切。然而,多变量回归分析并未将 EPVS I 作为主要 EPVS 类型确定为 EAIS-CI 的主要风险因素(p = 0.098)。按MMSE评分分组显示,EPVS I作为主要的EPVS类型与低教育水平有关(p < 0.01),并与认知性痴呆患者的EAIS显著相关(p < 0.01):在多种因素的作用下,EAIS-CI 与低教育水平、BG-EPVS、WMHs 和脑萎缩严重程度的恶化显著相关。BG-EPVS的严重程度等影像学标记有助于EAIS-CI的早期诊断和评估:该研究已在中国临床试验注册中心(https://www.chictr.org.cn/)注册,注册号为:ChiCTR2000038819:ChiCTR2000038819。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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