Evidence map›Paper›PMID 42327815›Full record

ArticleFrontiers in neurology

Impact of cerebral small vessel disease burden and systemic clinical phenotypes on short-term neurological outcomes after acute ischemic stroke.

Lifang Ma, Fangtong Liu, Jing Deng, Fangyuan Cui, Jing Bai, Bin Ma, Lu Tang, Xiao Han, Li Zhou, Ying Gao and 1 more

Abstract read
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Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Lifang MaDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Fangtong LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jing DengDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Fangyuan CuiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jing BaiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Bin MaDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Lu TangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiao HanDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Li ZhouDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ying GaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yan LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cerebral small vessel disease (CSVD) is increasingly recognized as an important determinant of outcome after acute ischemic stroke (AIS). However, the contribution of global CSVD burden, individual imaging markers, and systemic clinical phenotypes to early neurological recovery remains incompletely understood. Methods: We conducted a retrospective cohort study of consecutive AIS patients admitted to Dongzhimen Hospital, Beijing University of Chinese Medicine between January and December 2024. CSVD markers were assessed using MRI according to STRIVE criteria, and a total CSVD burden score (0-4) was calculated. Systemic clinical phenotypes were defined based on standardized admission assessments. The primary outcome was unfavorable neurological status at discharge (NIHSS >8). Multivariable logistic regression with collinearity diagnostics was performed. Distributions of NIHSS scores across CSVD features were visualized using violin plots. Results: A total of 474 patients were included (median age 67 years; 71% male), of whom 31 (6.5%) had unfavorable outcomes. Higher total CSVD burden (adjusted OR 1.57, 95% CI 1.13-2.17), hyperhomocysteinemia (adjusted OR 2.76, 95% CI 1.21-6.31), and a Traditional Chinese Medicine (TCM)-defined Phlegm-Heat Fu-Excess phenotype (adjusted OR 5.28, 95% CI 1.85-15.04) were independently associated with unfavorable outcomes. Among individual CSVD markers, lacunar infarction showed the strongest association. White matter hyperintensities, cerebral atrophy, and basal ganglia enlarged perivascular spaces were associated with higher discharge NIHSS scores in exploratory analyses. Given the limited number of outcome events, the stability of the regression model may be limited, and these findings should be interpreted with caution. Discussion: Global CSVD burden and selected systemic clinical phenotypes are associated with poor short-term neurological outcomes after AIS. These findings should be considered exploratory and hypothesis-generating, and may provide supplementary information for early risk stratification. Further validation in larger, prospective multicenter studies is required.

Indexed as

acute ischemic strokecerebral small vessel diseaseMRIneurological outcomerisk stratification

Identifiers

PMID42327815
PMCPMC13275229

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