Cerebrovascular Division, Department of Neurology, Hospital Universitari Sagrat Cor, Barcelona, Spain.
Department of Sports Sciences, Ramon Llull University, Faculty of Psychology, Education and Sport Sciences (FPCEE), Blanquerna, Barcelona,Spain.
Rev Invest Clin. 2020 May 7;73(1):023-030. doi: 10.24875/RIC.20000227.
There is little information about the early clinical features of cardioembolic stroke before complementary examinations.
The aim of this study was to identify risk factors, clinical features, and early outcomes of cardioembolic stroke.
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.
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.
Potential cardioembolic stroke requires a comprehensive evaluation, since early classification and identification through predictors would improve effective management.
在补充检查之前，关于心源性脑栓塞性中风的早期临床特征的信息很少。
本研究旨在确定心源性脑栓塞性中风的危险因素、临床特征和早期结局。
这是一项基于大学医学中心医院基于中风登记处的前瞻性收集数据的回顾性研究。选择诊断为心源性脑栓塞性梗死的连续患者，并与诊断为动脉粥样硬化血栓性中风的患者进行比较。通过多变量分析评估心源性脑栓塞性梗死的预测因素。
在 4597 例连续患者中，我们研究了 956 例诊断为心源性脑栓塞性梗死（80 岁[标准差（SD）9.14]；63%女性）和 945 例动脉粥样硬化血栓性梗死（77.01 岁[SD 9.75]；49.8%女性）。单变量比较分析报告，高龄（≥85 岁）、女性、心房颤动（AF）、缺血性心脏病和充血性心力衰竭在心源性栓塞组中更为常见，而高血压、糖尿病、外周血管疾病、大量吸烟、高脂血症和先前的短暂性脑缺血发作在心源性栓塞组中更为常见。在逻辑回归模型中，AF（优势比[OR]15.75，95%置信区间[CI]：12.14-20.42）、缺血性心脏病（OR 3.12，95% CI：2.16-4.5）、女性（OR 1.56，95% CI：1.22-2.00）和突发性（OR 1.97，95% CI：1.54-2.51）是心源性脑栓塞的独立显著预测因素。
潜在的心源性脑栓塞需要全面评估，因为通过预测因素进行早期分类和识别可以改善有效管理。
