Literature DB >> 31771457

Prevalence of Microembolic Signals in Embolic Stroke of Undetermined Source and Other Subtypes of Ischemic Stroke.

Eiko Higuchi1, Sono Toi1, Yuka Shirai1, Takao Hoshino1, Kentaro Ishizuka1, Satoru Shimizu2, Yukiko Tsutsumi1,3, Kazuo Kitagawa1.   

Abstract

Background and Purpose- Embolic stroke of undetermined source (ESUS) has been proposed to cause thromboembolic infarction from unknown but potential embolic sources. However, an embolus remains undetected in ESUS. The goal of this study was to characterize the prevalence and risk factors of microembolic signals (MESs) in ESUS. Methods- We examined 108 patients with acute ischemic stroke in the internal carotid artery territory or transient ischemic attack within 14 days of symptom onset and who were admitted to our hospital between April 2017 and March 2019. MESs were monitored in the middle cerebral artery on transcranial Doppler for 60 minutes. We examined the prevalence and number of MES in ESUS and other stroke subtypes, such as cardioembolism, large artery atherosclerosis, cerebral small vessel disease, and transient ischemic attack. The present study was registered in University Hospital Medical Information Network Clinical Trials Registry (UMIN000031913). Results- MESs were detected in 33 (31%) of 108 patients. ESUS showed the highest proportion (12/24 [50%]), followed by large artery atherosclerosis (8/20 [40%]), cardioembolism (6/18 [33%]), transient ischemic attack (4/24 [17%]), and cerebral small vessel disease (3/21 [14%]). Univariate analysis showed that higher systolic blood pressure, body mass index, hemoglobin A1c, and ESUS were significantly associated with MES. In multiple logistic regression analysis, ESUS remained significantly associated with MES after adjustment for described covariates from univariate analysis (odds ratio, 2.86 [95% CI, 1.01-8.08]). Conclusions- This study demonstrated significant association of ESUS with MES, supporting the embolic nature of this stroke subtype. Registration- URL: https://upload.umin.ac.jp. Unique identifier: UMIN000031913.

Entities:  

Keywords:  humans; ischemic attack, transient; microembolic signals; odds ratio; risk factors; stroke; ultrasonography, Doppler, transcranial

Mesh:

Year:  2019        PMID: 31771457     DOI: 10.1161/STROKEAHA.119.027008

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  5 in total

1.  Detection and Characterization of Thrombosis in Humans Using Fibrin-Targeted Positron Emission Tomography and Magnetic Resonance.

Authors:  David Izquierdo-Garcia; Pauline Désogère; Anne L Philip; Choukri Mekkaoui; Rory B Weiner; Onofrio A Catalano; Yin-Ching Iris Chen; Doreen DeFaria Yeh; Moussa Mansour; Ciprian Catana; Peter Caravan; David E Sosnovik
Journal:  JACC Cardiovasc Imaging       Date:  2021-10-13

2.  Systolic blood pressure and recurrent stroke in patients with different lesion patterns on diffusion weighted imaging.

Authors:  Pan Chen; Qiong Wu; Xuewei Xie; Jing Jing; Hongqiu Gu; Xianwei Wang; Xia Meng; Liping Liu; Yilong Wang; Yongjun Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2022-08-12       Impact factor: 2.885

Review 3.  Advances in Recurrent Stroke Prevention: Focus on Antithrombotic Therapies.

Authors:  Brian Mac Grory; Shadi Yaghi; Charlotte Cordonnier; Luciano A Sposato; Jose G Romano; Seemant Chaturvedi
Journal:  Circ Res       Date:  2022-04-14       Impact factor: 23.213

4.  Dynamic Cerebral Autoregulation in Embolic Stroke of Undetermined Source.

Authors:  Hongyin Ma; Jia Liu; Shan Lv; Peng Zhang; Wei-Tong Guo; Yang Qu; Zhen-Ni Guo; Yi Yang
Journal:  Front Physiol       Date:  2020-10-20       Impact factor: 4.566

5.  Plaque Length Predicts the Incidence of Microembolic Signals in Acute Anterior Circulation Stroke.

Authors:  Liming Zhao; Hongqin Zhao; Yicheng Xu; Aijuan Zhang; Jiatang Zhang; Chenglin Tian
Journal:  Dis Markers       Date:  2021-07-28       Impact factor: 3.434

  5 in total

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