Literature DB >> 32737795

Associations of Blood Pressure and Carotid Flow Velocity with Brain Volume and Cerebral Small Vessel Disease in a Community-Based Population.

Shao-Yuan Chuang1,2, Pei-Ning Wang3,4,5, Liang-Kung Chen4,5,6, Kun-Hsien Chou4,5, Chih-Ping Chung3,4,5, Chen-Huan Chen7,8, Gary F Mitchell9, Wen-Harn Pan1,10, Hao-Min Cheng11,12,13.   

Abstract

Cerebral small vessel disease (CSVD) is a common finding on brain magnetic resonance imaging (MRI). We previously demonstrated that high blood pressure (BP) and low carotid flow velocity were associated with cerebrovascular disease. However, their associations with brain volume and CSVD remain to be determined. A total of 721 adults (≥ 50 years) from the community-based I-Lan Longitudinal Aging Study were included. Flow velocities at the common (CCA) and internal carotid artery (ICA), including peak systolic velocity (PSV) and end-diastolic velocity (EDV), were measured with Doppler ultrasound. We further detected the presence of CSVD including lacune, microbleed, and white matter hyperintensity (WMH) on brain MRI, which were used to construct a combined CSVD score. General linear regression and logistic regression analysis were exploited to evaluate the association between carotid flow velocity, BP, brain volume, and CSVD. The mean of white matter, gray matter, and WMH volume were 422.2 cm3, 546.9 cm3, and 2.61 cm3, respectively. The proportion of lacune and microbleed were 11.1% and 14.2%, respectively. The CSVD score were negatively associated with gray (r = - 0.121, p < .01) and white matter volume (r = 0.058, p = 0.12), but positively associated with systolic BP (beta = 1.02, p = 0.0017). EDV at common carotid artery associated positively with white matter volume (beta = 1.013, p = 0.0064) and negatively predicted the presence CSVD (odds ratio [OR] = 0.93, p = 0.0023). In the ordinal logistic regression analysis adjusting for age, sex, total intracranial volume education, low-density lipoprotein cholesterol, and fasting glucose, compared with hypertensive subjects with low EDV, normotensive subjects with low, middle, and high EDV had an odds ratio of 0.656 (0.327-1.318), 0.429 (0.261-0.705), and 0.272 (0.147-0.502) for CSVD score, respectively. High SBP and low carotid flow velocities were independently associated with brain volume and CSVD. These associations may be involved in the pathophysiology of cognitive function decline.

Entities:  

Keywords:  Brain volume; Carotid flow velocity; Cerebral small vessel disease; High blood pressure; Lacune; Microbleed; White matter hyperintensity

Mesh:

Year:  2020        PMID: 32737795     DOI: 10.1007/s12975-020-00836-7

Source DB:  PubMed          Journal:  Transl Stroke Res        ISSN: 1868-4483            Impact factor:   6.829


  43 in total

1.  Risk factors for lacune subtypes in the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  D C Bezerra; A R Sharrett; K Matsushita; R F Gottesman; D Shibata; T H Mosley; J Coresh; M Szklo; M S Carvalho; E Selvin
Journal:  Neurology       Date:  2011-12-14       Impact factor: 9.910

2.  What is a lacune?

Authors:  Joanna M Wardlaw
Journal:  Stroke       Date:  2008-08-14       Impact factor: 7.914

3.  Common carotid end-diastolic velocity and intima-media thickness jointly predict ischemic stroke in Taiwan.

Authors:  Shao-Yuan Chuang; Chyi-Huey Bai; Jiunn-Rong Chen; Wen-Ting Yeh; Hsin-Jen Chen; Hou-Chang Chiu; Ruei-Shiang Shiu; Wen-Harn Pan
Journal:  Stroke       Date:  2011-03-17       Impact factor: 7.914

Review 4.  Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges.

Authors:  Leonardo Pantoni
Journal:  Lancet Neurol       Date:  2010-07       Impact factor: 44.182

5.  White matter hyperintensities in migraine: Clinical significance and central pulsatile hemodynamic correlates.

Authors:  Chun-Yu Cheng; Hao-Min Cheng; Shih-Pin Chen; Chih-Ping Chung; Yung-Yang Lin; Han-Hwa Hu; Chen-Huan Chen; Shuu-Jiun Wang
Journal:  Cephalalgia       Date:  2017-08-30       Impact factor: 6.292

Review 6.  Migraine and structural changes in the brain: a systematic review and meta-analysis.

Authors:  Asma Bashir; Richard B Lipton; Sait Ashina; Messoud Ashina
Journal:  Neurology       Date:  2013-08-28       Impact factor: 9.910

Review 7.  Cerebral microbleeds: a guide to detection and interpretation.

Authors:  Steven M Greenberg; Meike W Vernooij; Charlotte Cordonnier; Anand Viswanathan; Rustam Al-Shahi Salman; Steven Warach; Lenore J Launer; Mark A Van Buchem; Monique Mb Breteler
Journal:  Lancet Neurol       Date:  2009-02       Impact factor: 44.182

8.  Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment.

Authors:  Zoe Arvanitakis; Debra A Fleischman; Konstantinos Arfanakis; Sue E Leurgans; Lisa L Barnes; David A Bennett
Journal:  Brain Struct Funct       Date:  2015-04-02       Impact factor: 3.270

9.  Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline.

Authors:  Hanna Jokinen; Juha Koikkalainen; Hanna M Laakso; Susanna Melkas; Tuomas Nieminen; Antti Brander; Antti Korvenoja; Daniel Rueckert; Frederik Barkhof; Philip Scheltens; Reinhold Schmidt; Franz Fazekas; Sofia Madureira; Ana Verdelho; Anders Wallin; Lars-Olof Wahlund; Gunhild Waldemar; Hugues Chabriat; Michael Hennerici; John O'Brien; Domenico Inzitari; Jyrki Lötjönen; Leonardo Pantoni; Timo Erkinjuntti
Journal:  Stroke       Date:  2019-11-08       Impact factor: 7.914

10.  Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration.

Authors:  Joanna M Wardlaw; Eric E Smith; Geert J Biessels; Charlotte Cordonnier; Franz Fazekas; Richard Frayne; Richard I Lindley; John T O'Brien; Frederik Barkhof; Oscar R Benavente; Sandra E Black; Carol Brayne; Monique Breteler; Hugues Chabriat; Charles Decarli; Frank-Erik de Leeuw; Fergus Doubal; Marco Duering; Nick C Fox; Steven Greenberg; Vladimir Hachinski; Ingo Kilimann; Vincent Mok; Robert van Oostenbrugge; Leonardo Pantoni; Oliver Speck; Blossom C M Stephan; Stefan Teipel; Anand Viswanathan; David Werring; Christopher Chen; Colin Smith; Mark van Buchem; Bo Norrving; Philip B Gorelick; Martin Dichgans
Journal:  Lancet Neurol       Date:  2013-08       Impact factor: 44.182

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