Literature DB >> 20434052

Determinants of white matter hyperintensity volume in patients with acute ischemic stroke.

Natalia S Rost1, Rosanna Rahman2, Shruti Sonni3, Allison Kanakis3, Christi Butler3, Efi Massasa3, Lisa Cloonan3, Aaron Gilson3, Pilar Delgado3, Yuchiao Chang4, Alessandro Biffi2, Jordi Jimenez-Conde2, Angela Besanger3, Gisele Silva3, Eric E Smith5, Jonathan Rosand2, Karen L Furie3.   

Abstract

BACKGROUND: White matter hyperintensity (WMH) is a common radiographic finding in the aging population and a potent risk factor for symptomatic cerebrovascular disease. It is unclear whether WMH represents a single or multiple biological processes. We sought to investigate the extent and determinants of WMH in patients with acute ischemic stroke (AIS).
METHODS: We retrospectively analyzed a prospectively enrolled hospital-based cohort of patients with AIS. WMH volume (WMHV) was measured using a previously published method with high interrater reliability based on a semiautomated image analysis program.
RESULTS: WMHV was measured in 523 consecutive patients with stroke (mean age 65.2 years, median WMHV 8.2 cm(3)). In univariate linear regression analyses, individuals who were older, had elevated homocysteine (HCY) level or systolic blood pressure, or history of hypertension (all P < .0001), decreased glomerular filtration rate (P < .0002), atrial fibrillation (P < .0008), or coronary artery disease (P < .03) had significantly greater WMHV. After multivariable adjustment, only age (P < .0001) and HCY levels greater than 9 mumol/L (P < .003) remained independently associated with WMHV.
CONCLUSIONS: In patients with AIS, risk factors for WMH severity do not appear to overlap with those previously reported for population-based cohorts. Only age and higher HCY levels were independently associated with more severe WMH in patients with stroke. This suggests that some of the processes underlying WMH burden accumulation in patients with stroke may differ from those in the general population and are not simply mediated by traditional vascular risk factors. Copyright (c) 2010 National Stroke Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20434052     DOI: 10.1016/j.jstrokecerebrovasdis.2009.05.007

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  22 in total

Review 1.  Clinical neurogenetics: stroke.

Authors:  Natalia S Rost
Journal:  Neurol Clin       Date:  2013-07-17       Impact factor: 3.806

2.  Setting a gold standard for quantification of leukoaraiosis burden in patients with ischemic stroke: the Atherosclerosis Risk in Communities Study.

Authors:  Natalia S Rost; Saloomeh Sadaghiani; Alessandro Biffi; Kaitlin M Fitzpatrick; Lisa Cloonan; Jonathan Rosand; Dean K Shibata; Thomas H Mosley
Journal:  J Neurosci Methods       Date:  2014-01-15       Impact factor: 2.390

Review 3.  Subclinical Cerebrovascular Disease: Epidemiology and Treatment.

Authors:  Adam de Havenon; Chelsea Meyer; J Scott McNally; Matthew Alexander; Lee Chung
Journal:  Curr Atheroscler Rep       Date:  2019-07-27       Impact factor: 5.113

4.  Severity of leukoaraiosis in large vessel atherosclerotic disease.

Authors:  A Chutinet; A Biffi; A Kanakis; K M Fitzpatrick; K L Furie; N S Rost
Journal:  AJNR Am J Neuroradiol       Date:  2012-03-15       Impact factor: 3.825

5.  Incident Atrial Fibrillation and Disability-Free Survival in the Cardiovascular Health Study.

Authors:  Erin R Wallace; David S Siscovick; Colleen M Sitlani; Sascha Dublin; Pamela H Mitchell; Michelle C Odden; Calvin H Hirsch; Stephen Thielke; Susan R Heckbert
Journal:  J Am Geriatr Soc       Date:  2016-03-01       Impact factor: 5.562

6.  Diffuse microvascular dysfunction and loss of white matter integrity predict poor outcomes in patients with acute ischemic stroke.

Authors:  Natalia S Rost; Pedro Cougo; Svetlana Lorenzano; Hua Li; Lisa Cloonan; Mark Jrj Bouts; Arne Lauer; Mark R Etherton; Hasan H Karadeli; Patricia L Musolino; William A Copen; Ken Arai; Eng H Lo; Steve K Feske; Karen L Furie; Ona Wu
Journal:  J Cereb Blood Flow Metab       Date:  2017-05-08       Impact factor: 6.200

7.  Prospectively collected lifestyle and health information as risk factors for white matter hyperintensity volume in stroke patients.

Authors:  Pamela M Rist; Julie E Buring; Kathryn M Rexrode; Nancy R Cook; Natalia S Rost
Journal:  Eur J Epidemiol       Date:  2019-08-09       Impact factor: 8.082

8.  Delayed seizures after intracerebral haemorrhage.

Authors:  Alessandro Biffi; Abbas Rattani; Christopher D Anderson; Alison M Ayres; Edip M Gurol; Steven M Greenberg; Jonathan Rosand; Anand Viswanathan
Journal:  Brain       Date:  2016-08-06       Impact factor: 13.501

9.  Lipid profile components and subclinical cerebrovascular disease in the northern Manhattan study.

Authors:  Joshua Z Willey; Hannah Gardener; Yeseon P Moon; Mitsuhiro Yoshita; Charles DeCarli; Ying Kuen Cheung; Ralph L Sacco; Mitchell S V Elkind; Clinton B Wright
Journal:  Cerebrovasc Dis       Date:  2014-07-12       Impact factor: 2.762

10.  Is There Equipoise Regarding the Optimal Medical Treatment of Patients with Asymptomatic White Matter Hyperintensities?

Authors:  Adam de Havenon; Shyam Prabhakaran; Tanya Turan; Rebecca Gottesman; Sharon Yeatts; Natalia Rost
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-09-05       Impact factor: 2.136

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