A cross-sectional study for risk factor model predictive for developing ischemic stroke: a clinical pharmacist’s approach
Abstract BackgroundThere is a paucity of studies in ischemic stroke in our region.Aim The aim of the current study was to delineate the potentially risk factors for the development of ischemic stroke. MethodsWe have conducted a cross-sectional hospital-based study that has enrolled 210 subjects. The subjects have had presented to the emergency department in a tertiary hospital at the United Arab Emirates. Subjects were diagnosed with ischemic stroke within 24 hours of presentation. Outcome measureThe main outcome measure was the development of ischemic stroke during indexed hospital visit.ResultsThe mean age was 47.5 ±3.2 with 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 54.2%, the sensitivity was 89.7%, and the overall accuracy was 77.3%.ConclusionIt is prudent to control the modifiable risk factors for the development of stroke such as hypertension, diabetes, atrial fibrillation, coronary artery disease and low physical activity.