振幅整合脑电图在新生儿缺氧缺血性脑病中的诊断价值

目的 观察缺氧缺血性脑病(hypoxic-ischemic encephalopathy,HIE)新生儿振幅整合脑电图(amplitude integrated electroencephalography,aEEG)的变化,分别研究aEEG分类与HIE临床分度、HIE头颅CT分度的关系,探讨aEEG在HIE诊断中的价值。方法 选择48例有窒息史的HIE新生儿为研究对象。根据临床分度分成轻、中、重度HIE组,分别为20例、16例、12例;根据头颅CT分度分成轻、中、重度HIE组,分别为18、18、12例。按aEEG分类标准将研究对象分为正常、轻度异常和重度异常3种。观察48例HIE新生儿aEEG的特点。结果 临床轻、中、重度HIE患儿aEEG异常率分别为13.3%、86.7%、100%,aEEG异常程度与HIE临床分度密切相关(r=0.853,P＜0.000 5);头颅CT轻、中、重度HIE患儿aEEG异常率分别为10.5%、82.4%、100.0%,aEEG异常程度与HIE头颅CT分度密切相关(r=0.825,P＜0.000 5)。结论 aEEG异常程度与HIE临床分度、HIE头颅CT分度均密切正相关,在早期诊断HIE、判断HIE病情程度及预测预后方面有很大的应用价值。

Value of amplitude integrated electroencephalography on diagnosis of neonatal hypoxic-ischemic encephalopathy

Objective To observate change of amplitude integrated electroencephalography(aEEG) on neonatal hypoxic-ischemic encephalopathy(HIE),the relationship were respectively studied between the aEEG classification and HIE clinical index,HIE head CT dividing,to explore the diagnostic value of aEEG in HIE. Methods A total of 48 HIE newborns who had asphyxia were as the research objects.According to the clinical dividing into mild HIE group of 20 cases,moderate HIE group of 16 cases,and severe HIE group of 12 cases.According to the head CT dividing into mild HIE group of 18 cases,moderate HIE group of 18 cases,and severe HIE group of 12 cases.According to the aEEG classification standard the research objects were divided into normal,mildly abnormal and severe abnormal.aEEG characteristics were observed on 48 cases HIE newborns. Results aEEG abnormal rate of newborns with mild clinical HIE was 13.3%,aEEG abnormal rate of newborns with moderate clinical HIE was 86.7%,and aEEG abnormal rate of newborns with severe clinical HIE was 100.0%.Abnormal degree of aEEG and clinical index of HIE was closely related (r=0.853,P<0.000 5);aEEG abnormal rate of newborns with mild HIE in head CT was 10.5%,aEEG abnormal rate of newborns with moderate HIE in head CT was 82.4%,aEEG abnormal rate of newborns with severe HIE in head CT was 100.0%.Abnormal degree of aEEG and head CT dividing of HIE was closely related (r=0.825,P<0.000 5). Conclusion Abnormal degree of aEEG and clinical index in HIE,head CT dividing in HIE have close positive correlation,and aEEG has great application value in early diagnosis of HIE,judgment condition of HIE and prognosis prediction of HIE.