ArticlePharmacy practice
Retrospective cohort study on risk factors for developing ischemic stroke.
Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Ellagic acid can improve stroke by regulating gut microbiota.Metabolic brain disease · 2026Review
- Social determinants of stroke prevalence in the United States adults: Analysis of 42 states using behavioral risk factor surveillance system 2022 data.Preventive medicine reports · 2026Article
- Analysis of Risk Factors for Acute First-Ever Ischemic Stroke in the Elderly Population of Eastern Liaoning Province: A Case-Control Study.International journal of general medicine · 2025Article
- Family history of stroke - a useful clue for the primary care physician and stroke neurologist: a narrative review.Postepy psychiatrii neurologii · 2023Review
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Authors and funding
4 authors.
Funding
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Abstract
Background: There is a paucity of studies describing the risk factors for developing ischemic stroke in our region. Objective: The objective of the current study was to delineate the potential risk factors for the development of ischemic stroke. Methods: We have conducted a retrospective cohort hospitalbased study that has enrolled 231 subjects. The subjects have had presented to the emergency department in a tertiary hospital in the United Arab Emirates. Subjects were diagnosed with ischemic stroke within 24 hours of presentation. Outcome measure: The main outcome measure was the development of ischemic stroke during an indexed hospital visit. Results: The mean age was 47.5 ±3.2 with a higher preponderance of males over females (60.9%) and 48.1% were ≥ 65 years. The final logistic regression model for the development of ischemic stroke contains seven variables. In descending order, the seven predictive risk factors for the development of ischemic stroke were: hypertension (OR 6.1, CI 2.4-9.5; P = 0.029), coronary artery disease (OR 4.2, 3.7-9.1; P = 0.038), low physical activity (OR 4.2, CI 2.1-9.1; P = 0.035), history of previous stroke (OR 4.1, 1.4-3.4; P = 0.033), atrial fibrillation (OR 3.2, CI 2.6-8.2; P = 0.017), family history of stroke (OR 3.1, 1.3-6.9; P = 0.042) and diabetes mellitus (OR 2.7, CI 1.25-6.1; P = 0.035). The specificity of the model was 58.1%; the sensitivity was 86.1%, and the overall accuracy was 75.7%. Conclusion: It is prudent to control modifiable risk factors for the development of strokes such as hypertension, diabetes, atrial fibrillation, coronary artery disease, and low physical activity.
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