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目的探讨振幅整合脑电图(aEEG)在新生儿缺氧缺血性脑病(HIE)早期诊断中的意义。方法选择HIE足月儿42例为研究对象,临床分为轻、中、重三度。选择同期健康足月儿10例为健康对照组。并对所有观察对象进行脑电图描记及振幅整合,按aEEG结果将其分为正常aEEG、轻度异常aEEG、重度异常aEEG 3种。采用SPSS 13.0软件进行统计学分析。结果 42例HIE患儿中,aEEG正常者18例,其中16例为轻度HIE(88.9%),2例为中度HIE(11.1%);aEEG轻度异常者15例,其中3例为轻度HIE(20.0%),9例为中度HIE(60.0%),3例为重度HIE(20.0%);aEEG重度异常者9例,其中2例为中度HIE(22.2%),7例为重度HIE(77.8%)。而10例健康对照组aEEG均为正常。aEEG监测结果与HIE临床分度密切相关(Κ=0.633,P<0.001)。结论aEEG可作为一种简化的脑功能评价方法,用于HIE新生儿的早期诊断及病情预测。
Objective To investigate the significance of amplitude-integrated electroencephalography (aEEG) in the early diagnosis of neonatal hypoxic-ischemic encephalopathy (HIE). Methods 42 cases of full-term infants with HIE were selected as the research object, and were divided into mild, moderate and severe clinical manifestations. Select healthy full-term children in the same period 10 cases of healthy control group. EEG and amplitude integration were performed on all the subjects. According to aEEG results, they were divided into normal aEEG, mild abnormal aEEG and severe abnormal aEEG. SPSS 13.0 software was used for statistical analysis. Results Of 42 HIE children, 18 were normal aEEG, 16 were mild HIE (88.9%), 2 were moderate HIE (11.1%); 15 were mild aEEG abnormalities, 3 were mild 9 cases were moderate HIE (60.0%), 3 cases were severe HIE (20.0%), 9 cases were severe aEEG abnormality, 2 cases were moderate HIE (22.2%) and 7 cases were Severe HIE (77.8%). The aEEG of 10 healthy controls were normal. The results of aEEG monitoring are closely related to the clinical classification of HIE (Κ = 0.633, P <0.001). Conclusion aEEG can be used as a simplified evaluation of brain function for the early diagnosis of HIE neonates and disease prediction.