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Cardioembolic Stroke: Risk Factors, Clinical Features, and Early Outcome in 956 Consecutive Patients
Kilian Griñán1, Adrià Arboix1, Joan Massons1
1Cerebrovascular Division, Department of Neurology, Hospital Universitari Sagrat Cor, Barcelona, Spain.
Insights
Identifying predictors like atrial fibrillation and ischemic heart disease is crucial for early cardioembolic stroke classification. This helps improve patient management and outcomes.
Area of Science:
- Neurology
- Cardiology
- Stroke Medicine
Background:
- Limited data exists on early clinical features of cardioembolic stroke before diagnostic imaging.
- Understanding these early signs is vital for timely intervention.
Purpose of the Study:
- To identify risk factors, clinical features, and early outcomes of cardioembolic stroke.
- To differentiate cardioembolic stroke from atherothrombotic stroke based on early indicators.
Main Methods:
- Retrospective analysis of prospectively collected data from a hospital-based stroke registry.
- Comparison of patients with cardioembolic infarction versus atherothrombotic stroke.
- Multivariate logistic regression to assess predictors of cardioembolic infarction.
Main Results:
- Atrial fibrillation (AF), ischemic heart disease, female gender, and sudden onset were significant predictors of cardioembolic stroke.
- Advanced age (≥85 years) and congestive heart failure were more frequent in the cardioembolic group.
- Hypertension, diabetes, and smoking were more prevalent in the atherothrombotic group.
Conclusions:
- Early identification of cardioembolic stroke through clinical predictors is essential.
- Comprehensive evaluation is necessary for effective management of potential cardioembolic stroke.
Background:
There is little information about the early clinical features of cardioembolic stroke before complementary examinations.
Objective:
The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke.
Methods:
Retrospective study based on prospectively collected data available from a university medical center hospitalbased stroke registry. Consecutive patients diagnosed with cardioembolic infarction were selected and compared to those diagnosed with an atherothrombotic stroke. Predictors of cardioembolic infarction were assessed by multivariate analysis.
Results:
From a cohort of 4597 consecutive patients, we studied 956 patients diagnosed with cardioembolic infarction (80 years [standard deviation (SD) 9.14]; 63% women) and 945 with atherothrombotic infarction (77.01 years [SD 9.75]; 49.8% women). The univariate comparative analysis reported that advanced age (≥ 85 years), female gender, atrial fibrillation (AF), ischemic heart disease, and congestive heart failure were significantly more frequent in the cardioembolic group, whereas hypertension, diabetes, peripheral vascular disease, heavy smoking, hyperlipidemia, and previous transient ischemic attack were significant in the atherothrombotic group. In the logistic regression model, AF (odds ratio [OR] 15.75, 95% confidence interval [CI]: 12.14-20.42), ischemic heart disease (OR 3.12, 95% CI: 2.16-4.5), female gender (OR 1.56, 95% CI: 1.22-2.00), and sudden-onset (OR 1.97, 95% CI: 1.54-2.51), were independent significant predictors of cardioembolic stroke.
Conclusions:
Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management.
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