Literature DB >> 24021688

Population-based case-control study of white matter changes on brain imaging in transient ischemic attack and ischemic stroke.

Linxin Li1, Michela Simoni, Wilhelm Küker, Ursula G Schulz, Sharon Christie, Gordon K Wilcock, Peter M Rothwell.   

Abstract

BACKGROUND AND
PURPOSE: White matter changes (WMC) are a common finding on brain imaging and are associated with an increased risk of ischemic stroke. They are most frequent in small vessel stroke; however, in the absence of comparisons with normal controls, it is uncertain whether WMC are also more frequent than expected in other stroke subtypes. Therefore, we compared WMC in pathogenic subtypes of ischemic stroke versus controls in a population-based study.
METHODS: We evaluated the presence and severity of WMC on computed tomography and on magnetic resonance brain imaging using modified Blennow/Fazekas scale and age-related white matter changes scale, respectively, in a population-based study of patients with incident transient ischemic attack or ischemic stroke (Oxford Vascular Study) and in a study of local controls (Oxford Project to Investigate Memory and Ageing) without history of transient ischemic attack or ischemic stroke, with stratification by stroke pathogenesis (Trial of Org10172 in Acute Stroke Treatment classification).
RESULTS: Among 1601 consecutive eligible patients with first-ever ischemic events, 1453 patients had computed tomography brain imaging, 562 had magnetic resonance imaging, and 414 patients had both. Compared with 313 controls (all with computed tomography and 131 with magnetic resonance imaging) and after adjustment for age, sex, diabetes mellitus, and hypertension, moderate/severe WMC (age-related white matter changes scale) were more frequent in patients with small vessel events (odds ratio, 3.51 [95% confidence interval, 2.13-5.76]; P<0.0001) but not in large artery (odds ratio, 1.03 [95% confidence interval, 0.64-1.67]), cardioembolic (odds ratio, 0.87 [95% confidence interval, 0.56-1.34]), or undetermined (odds ratio, 0.90 [95% confidence interval, 0.62-1.30]) subtypes. Results were consistent for ischemic stroke and transient ischemic attack, for other scales, and for magnetic resonance imaging and computed tomography separately.
CONCLUSIONS: In contrast to small vessel ischemic events, WMC were not independently associated with other pathogenic subtypes, suggesting that WMC are unlikely to be an independent risk factor for nonsmall vessel events.

Entities:  

Keywords:  case–control studies; infarction; stroke etiology; white matter changes

Mesh:

Year:  2013        PMID: 24021688     DOI: 10.1161/STROKEAHA.113.002775

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


  17 in total

Review 1.  Anticoagulation for Atrial Fibrillation in Patients with Cerebral Microbleeds.

Authors:  Duncan Wilson; H Rolf Jäger; David J Werring
Journal:  Curr Atheroscler Rep       Date:  2015-08       Impact factor: 5.113

Review 2.  White matter injury in ischemic stroke.

Authors:  Yuan Wang; Gang Liu; Dandan Hong; Fenghua Chen; Xunming Ji; Guodong Cao
Journal:  Prog Neurobiol       Date:  2016-04-14       Impact factor: 11.685

3.  Cocaine Use and White Matter Hyperintensities in Homeless and Unstably Housed Women.

Authors:  Elise D Riley; Felicia C Chow; S Andrew Josephson; Samantha E Dilworth; Kara L Lynch; Amanda N Wade; Carl Braun; Christopher P Hess
Journal:  J Stroke Cerebrovasc Dis       Date:  2021-03-05       Impact factor: 2.136

4.  Common genetic variation influencing human white matter microstructure.

Authors:  Bingxin Zhao; Tengfei Li; Yue Yang; Xifeng Wang; Tianyou Luo; Yue Shan; Ziliang Zhu; Di Xiong; Mads E Hauberg; Jaroslav Bendl; John F Fullard; Panagiotis Roussos; Yun Li; Jason L Stein; Hongtu Zhu
Journal:  Science       Date:  2021-06-18       Impact factor: 63.714

Review 5.  Prognostic Impact of Cerebral Small Vessel Disease on Stroke Outcome.

Authors:  Beom Joon Kim; Seung-Hoon Lee
Journal:  J Stroke       Date:  2015-05-29       Impact factor: 6.967

6.  BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.

Authors:  Ludovica Griffanti; Giovanna Zamboni; Aamira Khan; Linxin Li; Guendalina Bonifacio; Vaanathi Sundaresan; Ursula G Schulz; Wilhelm Kuker; Marco Battaglini; Peter M Rothwell; Mark Jenkinson
Journal:  Neuroimage       Date:  2016-07-09       Impact factor: 6.556

7.  Association between the extent of white matter damage and early cognitive impairment following acute ischemic stroke.

Authors:  Jian Li; Yong Zhao; Jinying Mao
Journal:  Exp Ther Med       Date:  2017-01-11       Impact factor: 2.447

8.  Cornel Iridoid Glycoside Protects Against White Matter Lesions Induced by Cerebral Ischemia in Rats via Activation of the Brain-Derived Neurotrophic Factor/Neuregulin-1 Pathway.

Authors:  Mingyang Wang; Xuesi Hua; Hongmei Niu; Zhengyu Sun; Li Zhang; Yali Li; Lan Zhang; Lin Li
Journal:  Neuropsychiatr Dis Treat       Date:  2019-12-02       Impact factor: 2.570

Review 9.  The effect of age-related risk factors and comorbidities on white matter injury and repair after ischemic stroke.

Authors:  Mingyue Xu; Michael M Wang; Yanqin Gao; Richard F Keep; Yejie Shi
Journal:  Neurobiol Dis       Date:  2018-07-11       Impact factor: 5.996

10.  Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.

Authors:  Vaanathi Sundaresan; Ludovica Griffanti; Petya Kindalova; Fidel Alfaro-Almagro; Giovanna Zamboni; Peter M Rothwell; Thomas E Nichols; Mark Jenkinson
Journal:  Neuroimage       Date:  2018-10-22       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.