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卒中后癫痫危险因素的病例对照研究 被引量:9

Risk factors of the post stroke epilepsy: A case-control study
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摘要 目的通过了解卒中后癫痫的临床特征,探讨影响卒中后癫痫发生的危险因素。方法本研究采用病例对照研究设计,选择确诊的脑卒中后发生癫痫的患者80例为病例组;脑卒中未发生癫痫患者80例为对照组。收集两组年龄、性别、高血压史、糖尿病史、脑卒中类型、脑卒中部位、心电图检查结果和血清学检查结果等资料,分析卒中后癫痫的危险因素。资料录入采用Epidata3.2,统计分析采用SPSS 13.0。计量资料采用t检验,计数资料采用χ2检验,检验标准α=0.05。采用Logistic回归模型对卒中后癫痫的危险因素进行单因素和多因素回归分析。结果单因素Logistic回归分析结果显示:房颤、卒中部位累及皮质、颞叶、血清钠值、氯值与卒中后癫痫的发生有关(P〈0.05);多因素Logistic回归分析结果表明,卒中部位累及皮质(OR=3.53,P=0.002,95%CI=1.62∽7.69)、卒中位于颞叶(OR=3.06,P=0.015,95%CI=1.28∽7.35)和血清氯值(OR=1.21,P=0.012,95%CI=1.04∽1.40)是卒中后癫痫的危险因素。结论卒中部位累及皮质、位于颞叶和血清氯是卒中后癫痫的危险因素,应采取针对性的措施进行干预。 Objective To explore the risk factors affecting the occurrence of post stroke epilepsy by the clinical features. Methods A case-control study was used in this study. 80 patients of post stroke epilepsy were chosen as case group and 80 stroke patients as case control group. The data of two groups were collected for analyzing the risk factors of stroke epilepsy such as age,gender,history of hypertension and diabetes,stroke type,stroke location,ECG examination and serology,etc.The risk factors of post stroke epilepsy were analyzed with the help of Logistic Regression Model. Results Univariate Logistic regression analysis showed that the post stroke epilepsy was significantly related to atrial fibrillation,involving parts of the cortex,temporal lobe,serum sodium and chloride. Multiple Logistic regression analysis showed that involving parts of the cortex,temporal lobe and chloride were risk factors of post stroke epilepsy. Conclusion The risk factors of post stroke epilepsy are involving parts of the cortex,temporal lobe and chloride. Corresponding measures should be applied for intervention.
出处 《中风与神经疾病杂志》 CAS 北大核心 2015年第8期734-735,共2页 Journal of Apoplexy and Nervous Diseases
关键词 卒中后癫痫 危险因素 卒中部位 LOGISTIC回归分析 Post stroke epilepsy Risk factors Stroke site Logistic regression
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