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Revista de investigación clínica
versão On-line ISSN 2564-8896versão impressa ISSN 0034-8376
Resumo
GRINAN, Kilian et al. Cardioembolic Stroke: Risk Factors, Clinical Features, and Early Outcome in 956 Consecutive Patients. Rev. invest. clín. [online]. 2021, vol.73, n.1, pp.23-30. Epub 09-Mar-2021. ISSN 2564-8896. https://doi.org/10.24875/ric.20000227.
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 hospital-based 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. (REV INVEST CLIN. 2021;73(1):23-30)
Palavras-chave : Aged; Atrial fibrillation; Intracranial embolism and thrombosis; Risk factors; Stroke/classification; Stroke/etiology.