Clinical features of the pre-ictal state: Mood changes and premonitory symptoms
Clinical features of the pre-ictal state: Mood changes and premonitory symptoms
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DOI：
10.1016/j.yebeh.2012.02.007
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发表时间：
2012-04-01
影响因子：
2.6
通讯作者：
Lipton, Richard B.
中科院分区：
文献类型：
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作者：
Haut, Sheryl R.;Hall, Charles B.;Lipton, Richard B.
临床鉴定癫痫发作前的状态将提高我们对癫痫发作的理解，并为新的治疗方法提供机会。在我们之前的纸质日记研究中，压力增加和睡眠减少预示着癫痫发作。利用电子日记，我们扩大了调查范围。变量通过其与随后癫痫发作的关联来识别，使用最大似然拟合的对数-正态随机效应模型。19例定位相关性癫痫患者保持电子日记12-14周，报告了244次符合条件的癫痫发作。在单变量模型中，几个情绪项目和10个先兆特征与12小时内癫痫发作几率增加相关。在多变量模型中，总情绪改善10个点可使癫痫发作风险降低25% (OR 0.75, CI 0.61-0.91, p=004)，而每增加一个重要的先兆特征可使癫痫发作风险增加近25% （OR 1.24, CI 1.13-1.35, p=004）
Identifying the pre-ictal state clinically would improve our understanding of seizure onset and suggest opportunities for new treatments. In our previous paper-diary study, increased stress and less sleep predicted seizures. Utilizing electronic diaries, we expanded this investigation. Variables were identified by their association with subsequent seizure using logit-normal random effects models fit by maximum likelihood. Nineteen subjects with localization-related epilepsy kept e-diaries for 12-14 weeks and reported 244 eligible seizures. In univariate models, several mood items and ten premonitory features were associated with increased odds of seizure over 12 h. In multivariate models, a 10-point improvement in total mood decreased seizure risk by 25% (OR 0.75, CI 0.61-0.91, p=004) while each additional significant premonitory feature increased seizure risk by nearly 25% (OR 1.24, CI 1.13-1.35, p