Literature DB >> 18804220

Association of ankle-brachial index level with stroke.

Bruce Ovbiagele1.   

Abstract

BACKGROUND: There are conflicting data on the relationship between peripheral arterial disease (PAD) as defined by an ankle-brachial index (ABI) of <0.9 and stroke risk, and these prior data have largely focused on a single race or gender. Furthermore, the association between subsequent ABIs above the established 0.9 threshold for PAD vs. stroke has not been studied. This study assessed stroke occurrence across the full spectrum of ABI values among a broad cohort of stroke survivors.
METHODS: Data from the National Health and Nutrition Examination Survey from 1999-2004, a nationally representative sample of United States adults, were used to assess prevalence of PAD as evidenced by ABI of <0.9, and to simultaneously identify the independent associations of ABI levels (<0.90, 0.90-0.99, 1.00-1.09, >1.3) with stroke prevalence.
RESULTS: Among 6382 adults, 4602 (72%) had full and complete data of which 277 (6%) reported stroke occurrence. Stroke survivors were older and more likely to have diabetes, hypertension, coronary artery disease, elevated blood pressure and glycohemoglobin, than non-stroke respondents. More subjects with ABI <0.9 vs. > or =0.9 had experienced a stroke (12.7% vs. 5.4%, p<0.001). Within the full ABI range, stroke presence rose with decreasing ABI (p=0.0013). After adjustment for potential confounders, only ABI <0.9 (OR 1.9, 95% CI=1.2-3.1) and 0.9-0.99 (OR 2.3, 95% CI=1.4-3.6) compared with the referent group (1.10-1.29) were significantly associated with presence of stroke.
CONCLUSIONS: Data from this nationally representative cohort support an independent relationship between established PAD and stroke occurrence, but also indicate that even borderline PAD is strongly linked to stroke.

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Mesh:

Year:  2008        PMID: 18804220     DOI: 10.1016/j.jns.2008.08.016

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

1.  Ankle blood pressure and pulse pressure as predictors of cerebrovascular morbidity and mortality in a prospective follow-up study.

Authors:  Heikki J Hietanen; Rauni Pääkkönen; Veikko Salomaa
Journal:  Stroke Res Treat       Date:  2011-01-17

2.  Subclinical Atherosclerosis in Patients with Cushing Syndrome: Evaluation with Carotid Intima-Media Thickness and Ankle-Brachial Index.

Authors:  Luigi Petramala; D'Elia Lorenzo; Gino Iannucci; Antonio Concistré; Laura Zinnamosca; Cristiano Marinelli; Giuseppe De Vincentis; Antonio Ciardi; Giorgio De Toma; Claudio Letizia
Journal:  Endocrinol Metab (Seoul)       Date:  2015-09-10

3.  Ankle-brachial index and brachial-ankle pulse wave velocity are risk factors for ischemic stroke in patients with Type 2 diabetes.

Authors:  Ting Li; Xiu-Juan Wu; Xiao-Min Chen; Si-Bo Wang; Kang-Ding Liu; Ying-Qi Xing
Journal:  Neural Regen Res       Date:  2017-11       Impact factor: 5.135

4.  Impressive predictive value of ankle-brachial index for very long-term outcomes in patients with cardiovascular disease: IMPACT-ABI study.

Authors:  Takashi Miura; Masatoshi Minamisawa; Yasushi Ueki; Naoyuki Abe; Hitoshi Nishimura; Naoto Hashizume; Tomoaki Mochidome; Mikiko Harada; Yasutaka Oguchi; Koji Yoshie; Wataru Shoin; Tatsuya Saigusa; Soichiro Ebisawa; Hirohiko Motoki; Jun Koyama; Uichi Ikeda; Koichiro Kuwahara
Journal:  PLoS One       Date:  2017-06-15       Impact factor: 3.240

5.  Lower Extremity Peripheral Arterial Disease Is an Independent Predictor of Coronary Heart Disease and Stroke Risks in Patients with Type 2 Diabetes Mellitus in China.

Authors:  Xiao-Hong Pang; Jue Han; Wan-Lan Ye; Xue Sun; Yue Ding; Wen-Juan Huang; Yi-Ming Zhao; Han-Yu Lou; Li-Zhen Shan; Ying-Xiu Kang; Xiao-Xiao Song; Song-Zhao Zhang; Wei Gu; Peng-Fei Shan
Journal:  Int J Endocrinol       Date:  2017-05-08       Impact factor: 3.257

6.  Color Doppler Ultrasonography Is a Useful Tool for Diagnosis of Peripheral Artery Disease in Type 2 Diabetes Mellitus Patients with Ankle-Brachial Index 0.91 to 1.40.

Authors:  Kyu Yeon Hur; Ji Eun Jun; Young Ju Choi; Yong Ho Lee; Dae Jung Kim; Seok Won Park; Byung Wook Huh; Eun Jig Lee; Sun Ha Jee; Kap Bum Huh; Sung Hee Choi
Journal:  Diabetes Metab J       Date:  2018-02       Impact factor: 5.376

  6 in total

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