Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study
Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study
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DOI：
10.1016/j.pedneo.2018.03.010
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发表时间：
2019-02-01
影响因子：
2.1
通讯作者：
Jansen, Katrien
中科院分区：
文献类型：
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作者：
Dereymaeker, Anneleen;Matic, Vladimir;Jansen, Katrien
背景：为了提高连续视频脑电(CEEG)监测新生儿脑功能的客观性，目的是将新生儿缺氧缺血性脑病(HIE)后脑电背景(动态间歇间期=DIBIS)中抑制期的自动派生幅度和持续时间参数与有利或不利的神经发育结果相关联。方法：19例HIE新生儿(胎龄36-41周)接受治疗性低温治疗，并进行cEEG监测。用先前开发的算法对脑电进行了回顾分析，以检测动态的猝发间期。每隔1小时计算DIBIS的中位时程和波幅。结果：动态IBI值在18~24 h达到最佳预后预测价值(AUC为0.93)。Dibi幅度和持续时间为15微伏的脑电
Background: To improve the objective assessment of continuous video-EEG (cEEG) montoring of neonatal brain function, the aim was to relate automated derived amplitude and duration parameters of the suppressed periods in the EEG background (dynamic Interburst Interval = dIBIs) after neonatal hypoxic-ischemic encephalopathy (HIE) to favourable or adverse neurodevelopmental outcome.Methods: Nineteen neonates (gestational age 36-41 weeks) with HIE underwent therapeutic hypothermia and had cEEG-monitoring. EEGs were retrospectively analyzed with a previously developed algorithm to detect the dynamic Interburst Intervals. Median duration and amplitude of the dIBIs were calculated at 1 h-intervals. Sensitivity and specificity of automated EEG background grading for favorable and adverse outcomes were assessed at 6 h-intervals.Results: Dynamic IBI values reached the best prognostic value between 18 and 24 h (AUC of 0.93). EEGs with dIBI amplitude >= 15 mu V and duration