Evidence map›Paper›PMID 27649086›Full record

ArticlePloS one2016

The Number of Stenotic Intracranial Arteries Is Independently Associated with Ischemic Stroke Severity.

Xiaodan Wei, Zhuang Liu, Min Li, Chunhua Yang, Wenming Wang, Xianglin Li, Shuping Zhang, Xuri Li, Geng Tian, Jonas Bergquist and 2 more

Abstract read
In one paragraph

Article in PloS one, 2016. 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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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Xiaodan WeiMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Zhuang LiuDepartment of Clinical Imaging, Affiliated Hospital, Binzhou Medical University, Binzhou, Shandong, China.
Min LiMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Chunhua YangMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Wenming WangDepartment of Clinical Imaging, Affiliated Hospital, Binzhou Medical University, Binzhou, Shandong, China.
Xianglin LiMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Shuping ZhangMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Xuri LiMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Geng TianMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Jonas BergquistDepartment of Chemistry-BMC and SciLifeLab, Analytical Chemistry, Uppsala University, Uppsala, Sweden.
Bin WangMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.
Jia MiMedicine and Pharmaceutics Research Center, Binzhou Medical University, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severity of ischemic stroke symptoms varies among patients and is a critical determinant of patient outcome. To date, the association between the number of stenotic intracranial arteries and stroke severity remains unclear.

aimsWe aimed to investigate the association between the number of stenotic major intracranial arteries (NSMIA) and ischemic stroke severity, as well as the degree of stenosis and common stroke risk factors.

methodsWe performed a retrospective analysis of patients with digital subtraction angiography (DSA)-confirmed ischemic stroke. Clinical stroke severity was measured using the National Institutes of Health Stroke Scale (NIHSS). The number of stenotic vessels was counted from the internal carotid arteries and vertebral arteries, bilaterally.

resultsEighty three patients were recruited from a single center and included in the study. NSMIA was significantly correlated with stroke severity (Pearson Correlation Coefficient = 0.485, P < 0.001), but not with the degree of stenosis (Pearson Correlation Coefficient = 0.01, P = 0.90). Multivariate regression analysis revealed that NSMIA was significantly associated with the NIHSS score after adjusting for stroke risk factors. The adjusted odds ratio (per lateral) was 2.092 (95% CI, 0.865 to 3.308, P = 0.001). The degree of stenosis was also significantly associated with the NIHSS score after adjusting for common risk factors. The odds ratio (per 10%) was 0.712 (95% CI, 0.202 to 1.223, P = 0.007).

conclusionsThe number of stenotic intracranial major arteries is associated with the severity of ischemic stroke independent of the degree of stenosis and other stroke risk factors. To the best of our knowledge, this has not been previosuly studied in great detail using DSA. Our data highlight the importance of examining all major arteries in stroke patients.

Indexed as

AdultAgedAngiography, Digital SubtractionBrain IschemiaConstriction, PathologicFemaleHumansIntracranial Arterial DiseasesMaleMiddle AgedRetrospective StudiesRisk FactorsSeverity of Illness IndexStrokeYoung Adult

Identifiers

PMID27649086
PMCPMC5029900

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.