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Predictors of Recording an Event During Prolonged Inpatient Video Electroencephalogram Monitoring in Children

机译:儿童长期住院视频脑电图监测期间记录事件的预测因子

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BACKGROUND: Distinguishing between seizures and nonepileptic events is a key challenge in pediatric neurology. The diagnostic gold standard is prolonged inpatient video electroencephalogram monitoring. However, little is known about preadmission characteristics that are predictive of recording an event during such monitoring. METHODS: This is a retrospective chart review of children undergoing prolonged inpatient video electroencephalogram monitoring between 2009 and 2012 at a tertiary referral center for the purpose of distinguishing between seizures and nonepileptic events. Demographic information, medical history, event characteristics, and inpatient monitoring course were abstracted. RESULTS: Two-hundred thirteen children were identified. The median recording duration was 25 hours (interquartile range 22.4-48.5), and median time to event of interest (among those with an event recorded) was 4.5 hours (interquartile range 1.4-18.8). An event of interest was recorded in 66% of patients. At the event level, 20% of recorded events were associated with an electroencephalogram correlate, which refers to a change in the pattern seen on the electroencephalogram during a seizure. At the patient level, 112 (79.4%) with events recorded had only nonepileptic events recorded, 25 (17.7%) had only seizures recorded, and 4 (2.8%) had both recorded. Recording an event was predicted by the presence of intellectual disability (P = 0.001), greater preadmission event frequency (P < 0.001), and shorter latency since most recent event (P < 0.001). CONCLUSIONS: Prolonged inpatient electroencephalogram monitoring captured an event of interest in two-thirds of patients, with most of these events captured within less than four and a half hours of recording onset. Several factors predict a greater yield with prolonged inpatient video electroencephalogram monitoring-including event frequency, latency since the most recent event, and the presence of intellectual disability-and can be used to counsel patients regarding this study for the purpose of event capture in the context of shared decision making.
机译:背景:区分癫痫发作和非癫痫事件是小儿神经病学的关键挑战。诊断金标准是延长住院视频脑电图监测。然而,关于预录取特征的信息知之甚少,预录特征可预测在此类监视期间记录事件。方法:这是一项回顾性图表回顾,回顾性分析了2009年至2012年在三级转诊中心接受长时间住院视频脑电图监测的儿童,目的是区分癫痫发作和非癫痫发作。人口统计信息,病史,事件特征和住院监测过程均已抽象。结果:确定了213名儿童。中位记录持续时间为25小时(四分位间距22.4-48.5),发生关注事件(包括记录事件的时间)的中位时间为4.5小时(四分位间距1.4-18.8)。在66%的患者中记录了感兴趣的事件。在事件级别,记录的事件中有20%与脑电图相关,这是指癫痫发作期间脑电图上模式的变化。在患者水平上,记录的112例(79.4%)仅记录为非癫痫事件,仅记录25例(17.7%)癫痫发作,且均记录4例(2.8%)。记录事件是由智障(P = 0.001),入院前事件发生频率较高(P <0.001)和最近事件发生后的等待时间较短(P <0.001)来预测的。结论:延长的住院脑电图监测在三分之二的患者中捕获了一个感兴趣的事件,其中大多数事件在记录发作后不到四个半小时内捕获。多个因素可预测住院视频脑电图监测的延长,包括事件发生频率,自最近一次事件以来的潜伏期和智力残疾的发生,这些因素可为患者提供有关本研究的咨询,以实现事件捕获的目的。共同决策。

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