Literature DB >> 19018133

Age-distinct predictors of symptomatic cervicocephalic atherosclerosis.

Oh Young Bang1, Jeffrey L Saver, David S Liebeskind, Phil Hyu Lee, Seung Soo Sheen, Sa Rah Yoon, Susan W Yun, Gyeong Moon Kim, Chin Sang Chung, Kwang Ho Lee, Bruce Ovbiagele.   

Abstract

BACKGROUND: Little is known about whether vascular risk factors predispose to atherosclerotic stroke depending on age. We evaluated predictors of large vessel atherosclerotic stroke (LVAS) stratified by age in two geographically and racially distinct study populations.
METHODS: Data collected over a 4-year period in prospectively maintained registries on 3,053 subjects with ischemic cerebrovascular events were analyzed: 1,982 patients from a hospital in South Korea and 1,071 patients admitted to a hospital in Los Angeles, Calif., USA. Independent vascular risk factor associations with LVAS mechanism were evaluated in three groups stratified by age (years) at symptom onset: young (<or=50 years), older (51-75 years), and oldest (>75 years).
RESULTS: Altogether at both study sites, 972 (31.8%) patients had LVAS mechanism, of whom 391 (40.2%) were female. Risk factor profiles were not significantly different between LVAS versus other stroke mechanisms. Among young patients, after adjusting for covariates, current smoking was the only predictor of atherosclerotic stroke at both Korean (OR 2.04; 95% CI: 1.13-3.69) and Californian sites (OR 4.78, 95% CI 1.54-14.89), while the metabolic syndrome was the only predictor of atherosclerotic stroke among the older patients (OR 1.58, 95% CI 1.17-2.12 for Korean; OR 1.75, 95% CI 1.07-2.84 for Californian), but not in the young or oldest groups.
CONCLUSIONS: Across race and region, the estimated impact of vascular risk factors for LVAS varies by age, and this is most prominently seen among persons of less than 76 years of age. Some risk factors have an early effect (smoking) and others an effect that plays out over time. Copyright 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 19018133      PMCID: PMC2702490          DOI: 10.1159/000172629

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  30 in total

1.  Impact on stroke subtype diagnosis of early diffusion-weighted magnetic resonance imaging and magnetic resonance angiography.

Authors:  L J Lee; C S Kidwell; J Alger; S Starkman; J L Saver
Journal:  Stroke       Date:  2000-05       Impact factor: 7.914

2.  A standardized method for measuring intracranial arterial stenosis.

Authors:  O B Samuels; G J Joseph; M J Lynn; H A Smith; M I Chimowitz
Journal:  AJNR Am J Neuroradiol       Date:  2000-04       Impact factor: 3.825

3.  Association between metabolic syndrome and risk of stroke: a meta-analysis of cohort studies.

Authors:  Wei Li; Dongrui Ma; Ming Liu; Hua Liu; Shejun Feng; Zilong Hao; Bo Wu; Shihong Zhang
Journal:  Cerebrovasc Dis       Date:  2008-05-15       Impact factor: 2.762

4.  Ischemic stroke subtypes: a population-based study of incidence and risk factors.

Authors:  G W Petty; R D Brown; J P Whisnant; J D Sicks; W M O'Fallon; D O Wiebers
Journal:  Stroke       Date:  1999-12       Impact factor: 7.914

5.  Epidemiology of ischemic stroke subtypes according to TOAST criteria: incidence, recurrence, and long-term survival in ischemic stroke subtypes: a population-based study.

Authors:  P L Kolominsky-Rabas; M Weber; O Gefeller; B Neundoerfer; P U Heuschmann
Journal:  Stroke       Date:  2001-12-01       Impact factor: 7.914

6.  Race-ethnic disparities in the impact of stroke risk factors: the northern Manhattan stroke study.

Authors:  R L Sacco; B Boden-Albala; G Abel; I F Lin; M Elkind; W A Hauser; M C Paik; S Shea
Journal:  Stroke       Date:  2001-08       Impact factor: 7.914

7.  Incidence and risk factors for subtypes of cerebral infarction in a general population: the Hisayama study.

Authors:  Y Tanizaki; Y Kiyohara; I Kato; H Iwamoto; K Nakayama; N Shinohara; H Arima; K Tanaka; S Ibayashi; M Fujishima
Journal:  Stroke       Date:  2000-11       Impact factor: 7.914

8.  Different vascular risk factor profiles in ischemic stroke subtypes: a study from the "Sagrat Cor Hospital of Barcelona Stroke Registry".

Authors:  A Arboix; C Morcillo; L García-Eroles; M Oliveres; J Massons; C Targa
Journal:  Acta Neurol Scand       Date:  2000-10       Impact factor: 3.209

Review 9.  Stroke prevention therapy beyond antithrombotics: unifying mechanisms in ischemic stroke pathogenesis and implications for therapy: an invited review.

Authors:  Philip B Gorelick
Journal:  Stroke       Date:  2002-03       Impact factor: 7.914

10.  Etiologic study of young ischemic stroke in Taiwan.

Authors:  Tsong-Hai Lee; Wen-Chuin Hsu; Chi-Jen Chen; Sien-Tsong Chen
Journal:  Stroke       Date:  2002-08       Impact factor: 7.914

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  3 in total

1.  Histopathological Differences Between the Anterior and Posterior Brain Arteries as a Function of Aging.

Authors:  William Roth; Susan Morgello; James Goldman; Jay P Mohr; Mitchell S V Elkind; Randolph S Marshall; Jose Gutierrez
Journal:  Stroke       Date:  2017-02-14       Impact factor: 7.914

2.  Analysis of young ischemic stroke patients in northeast China.

Authors:  Jiao-Jiao Ge; Ying-Qi Xing; Hong-Xiu Chen; Li-Juan Wang; Li Cui
Journal:  Ann Transl Med       Date:  2020-01

3.  Metabolic predictors of ischemic heart disease and cerebrovascular attack in elderly diabetic individuals: difference in risk by age.

Authors:  Toshio Hayashi; Atsushi Araki; Seinosuke Kawashima; Hirohito Sone; Hiroshi Watanabe; Takashi Ohrui; Koutaro Yokote; Minoru Takemoto; Kiyoshi Kubota; Mitsuhiko Noda; Hiroshi Noto; Koichiro Ina; Hideki Nomura
Journal:  Cardiovasc Diabetol       Date:  2013-01-09       Impact factor: 9.951

  3 in total

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