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本文引用的文献

1
Stroke and cognitive impairment: understanding the connection and managing symptoms.中风与认知障碍:了解二者联系并管理症状
Ann Med Surg (Lond). 2023 Nov 1;85(12):6057-6066. doi: 10.1097/MS9.0000000000001441. eCollection 2023 Dec.
2
Neuroimaging standards for research into small vessel disease-advances since 2013.神经影像学在小血管疾病研究中的标准——2013 年以来的进展。
Lancet Neurol. 2023 Jul;22(7):602-618. doi: 10.1016/S1474-4422(23)00131-X. Epub 2023 May 23.
3
Cognitive Impairment After Ischemic and Hemorrhagic Stroke: A Scientific Statement From the American Heart Association/American Stroke Association.《缺血性卒中和出血性卒中后的认知障碍:美国心脏协会/美国卒中协会的科学声明》
Stroke. 2023 Jun;54(6):e272-e291. doi: 10.1161/STR.0000000000000430. Epub 2023 May 1.
4
Neuroimaging markers of dual impairment in cognition and physical performance following stroke: The Nor-COAST study.中风后认知与身体机能双重损害的神经影像学标志物:挪威海岸研究
Front Aging Neurosci. 2022 Dec 6;14:1037936. doi: 10.3389/fnagi.2022.1037936. eCollection 2022.
5
White matter hyperintensities volume and cognition: A meta-analysis.白质高信号体积与认知:一项荟萃分析。
Front Aging Neurosci. 2022 Sep 1;14:949763. doi: 10.3389/fnagi.2022.949763. eCollection 2022.
6
Research priorities to improve stroke outcomes.改善卒中预后的研究重点。
Lancet Neurol. 2022 Apr;21(4):312-313. doi: 10.1016/S1474-4422(22)00044-8.
7
Prevalence and Consequences of Cerebral Small Vessel Diseases: A Cross-Sectional Study Based on Community People Plotted Against 5-Year Age Strata.脑小血管病的患病率及其影响:一项基于社区人群并按5岁年龄组划分的横断面研究。
Neuropsychiatr Dis Treat. 2022 Mar 3;18:499-512. doi: 10.2147/NDT.S352651. eCollection 2022.
8
European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment.欧洲卒中组织和欧洲神经病学学会关于卒中后认知障碍的联合指南。
Eur Stroke J. 2021 Sep;6(3):I-XXXVIII. doi: 10.1177/23969873211042192. Epub 2021 Oct 8.
9
Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the detection of dementia within community dwelling populations.老年人认知功能减退知情者问卷(IQCODE)用于在社区居住人群中检测痴呆症。
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10
Cerebral small vessel disease burden and longitudinal cognitive decline from age 73 to 82: the Lothian Birth Cohort 1936.大脑小血管疾病负担与 73 岁至 82 岁的纵向认知衰退:洛锡安出生队列 1936 年研究。
Transl Psychiatry. 2021 Jul 6;11(1):376. doi: 10.1038/s41398-021-01495-4.

白质高信号患者的卒中后认知障碍和疲劳。一项前瞻性队列研究。

Post-stroke cognitive impairment and fatigue in patients with white matter hyperintensities. A prospective cohort study.

作者信息

Ölmestig Joakim, Sørensen Viktor Frederik Idin, Grimsgaard Ingrid, Fagerlund Birgitte, Kruuse Christina

机构信息

Neurovascular Research Unit, Department of Neurology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark.

Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark.

出版信息

Cereb Circ Cogn Behav. 2025 Jun 10;9:100387. doi: 10.1016/j.cccb.2025.100387. eCollection 2025.

DOI:10.1016/j.cccb.2025.100387
PMID:40606786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12212109/
Abstract

BACKGROUND

Cognitive impairment, depression, and fatigue are often neglected symptoms post-stroke. This study aimed to identify how white matter hyperintensity (WMH), a marker for cerebral small vessel disease (CSVD), is associated with post-stroke cognitive impairment, fatigue, and depression.

METHODS

This prospective cohort study included participants admitted with stroke or transient ischemic attack. Participants were classified into two groups based on WMH on magnetic resonance imaging (MRI) using the Fazekas scale (0-1: no CSVD, 2-3: CSVD). Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), Symbol Digit Modalities Test (SDMT), and Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) in the acute stroke phase (≤14 days) and three months post-stroke. Fatigue and depression were evaluated with the Fatigue Severity Scale (FSS) and the Beck Depression Inventory-II (BDI-II).

RESULTS

Two hundred and fifty-six participants were included with MRI. A high Fazekas score was associated with lower baseline SDMT (-4.17 ± 1.48, = 0.005, = 0.019), three-months SDMT (-3.56 ± 1.66, = 0.034, = 0.103), and higher baseline FSS (0.78 ± 0.26, = 0.003, = 0.011) independently of age. There was no association between the Fazekas score and MoCA or BDI-II.

CONCLUSION

These findings highlight the association between WMH, lower processing speed on the SDMT test in the acute stroke phase, and higher fatigue post-stroke. We propose that the WMH burden should be considered in all patients admitted with stroke or transient ischemic attack to identify those at increased risk of post-stroke cognitive impairment and fatigue.

摘要

背景

认知障碍、抑郁和疲劳是中风后常被忽视的症状。本研究旨在确定脑小血管疾病(CSVD)的标志物——白质高信号(WMH)与中风后认知障碍、疲劳和抑郁之间的关联。

方法

这项前瞻性队列研究纳入了因中风或短暂性脑缺血发作入院的参与者。根据磁共振成像(MRI)上使用Fazekas量表的WMH情况将参与者分为两组(0 - 1:无CSVD,2 - 3:CSVD)。在急性中风阶段(≤14天)和中风后三个月,使用蒙特利尔认知评估量表(MoCA)、符号数字模态测验(SDMT)和老年人认知下降知情者问卷(IQCODE)评估认知功能。使用疲劳严重程度量表(FSS)和贝克抑郁量表第二版(BDI-II)评估疲劳和抑郁。

结果

纳入了256名进行MRI检查的参与者。Fazekas高分与较低的基线SDMT(-4.17±1.48,P = 0.005,r = 0.019)、三个月后的SDMT(-3.56±1.66,P = 0.034,r = 0.103)以及较高的基线FSS(0.78±0.26,P = 0.003,r = 0.011)独立相关,与年龄无关。Fazekas评分与MoCA或BDI-II之间无关联。

结论

这些发现突出了WMH、急性中风阶段SDMT测试中较低的处理速度以及中风后较高的疲劳之间的关联。我们建议,对于所有因中风或短暂性脑缺血发作入院的患者,都应考虑WMH负担,以识别那些中风后认知障碍和疲劳风险增加的患者。