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Published on: July 14, 2023
Ankle-Brachial Index and Recurrent Stroke Risk: Meta-Analysis
Ja Bin Hong1, Christopher O Leonards1, Matthias Endres1
1From the Center for Stroke Research Berlin (CSB) (J.B.H., C.O.L., M.E., B.S., T.G.L.), Klinik und Poliklinik für Neurologie (M.E., T.G.L.), German Center for Neurodegenerative Disease (DZNE) (M.E.), and German Center for Cardiovascular Research (DZHK) (M.E.), Charité-Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany (M.E.); and Department of Neurology, Columbia University, College of Physicians and Surgeons, New York, NY (T.G.L.).
Low ankle-brachial index (ABI) is linked to higher stroke recurrence and vascular event risk. This finding confirms ABI
Area of Science:
- Cardiovascular Medicine
- Neurology
- Diagnostic Markers
Background:
- The ankle-brachial index (ABI) is a noninvasive measure of peripheral artery disease.
- ABI is a known indicator of atherosclerotic burden.
- Its role in predicting stroke recurrence requires further investigation.
Purpose of the Study:
- To systematically review and meta-analyze the association between ABI and stroke recurrence.
- To explore ABI's utility as a marker for vascular risk in stroke patients.
Main Methods:
- A systematic search of Embase, MEDLINE, and Pubmed databases was conducted.
- Included prospective cohort studies with ABI measurement and at least 12-month follow-up.
- Meta-analysis of adjusted hazard ratios for recurrent stroke and combined vascular events.
Main Results:
- Eleven studies with 5374 patients were analyzed.
- Low ABI was associated with a 1.70-fold increased hazard of recurrent stroke (HR, 1.70; 95% CI, 1.10-2.64).
- Low ABI was associated with a 2.22-fold increased risk of vascular events or death (HR, 2.22; 95% CI, 1.67-2.97).
Conclusions:
- The study confirms a positive association between low ABI and increased stroke recurrence.
- ABI may serve as a valuable predictor of vascular risk in stroke survivors.
- Further research is warranted to integrate ABI into stroke prediction models and patient management.
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