Department of Neonatal Intensive Care Unit, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Transl Pediatr. 2014 Oct;3(4):278-86. doi: 10.3978/j.issn.2224-4336.2014.10.03.
To investigate the relationship between the amplitude integrated electroencephalogram (aEEG) findings and neurodevelopmental outcomes of high-risk term infants with neurological disorders and develop a scoring system for assessment of the cerebral function.
The neurological outcome was assessed at 12- to 18-month of age by using the Bayley Scales of Infant Development II. Valuation of the classification of aEEG background pattern, epileptic electrical activity and sleep-weak cycle (SWC) was conducted to develop a new scoring system. The correlation between the summarized scores and outcome analyzed, and the predictive test of the score system was calculated.
A total of 81 infants (39 with asphyxia, 10 with hypoglycemia, 15 with acute bacterial meningoencephalitis, 10 with hyperbilirubinemia and 7 with inborn errors of metabolism) enrolled in the study. The neurological outcome was positive correlated with the background pattern, electrical activity, SWC and summarized scores of the score system based on aEEG. The scoring system has a higher r value, specificity, PPV and lower sensitivity compared with the separate entities such as background pattern, seizures and SWC. The area under the receiver operator characteristics (ROC) curve for predicting outcome by the scoring system was 0.93 (95% CI, 0.878-0.990), with the cut-off value of 7.5.
aEEG maybe a potential tool for monitoring cerebral function in term infants at risk for poor neurodevelopmental outcomes. Our proposed scoring system based on aEEG could quantify information provided by aEEG objectively and could be a good predictor for neurological outcome.
研究伴有神经功能障碍的高危足月新生儿脑电图（aEEG）振幅整合结果与神经发育结局的关系，并建立一种用于评估脑功能的评分系统。
采用贝利婴幼儿发展量表 II 对高危足月新生儿在 12 至 18 月龄时的神经发育结局进行评估。对 aEEG 背景模式、癫痫电活动和睡眠-弱周期（SWC）的分类评估进行评分系统的建立。分析总结评分与结局之间的相关性，并计算评分系统的预测检验。
共纳入 81 例婴儿（39 例窒息，10 例低血糖，15 例急性细菌性脑膜炎，10 例高胆红素血症，7 例先天性代谢缺陷）。研究发现，神经发育结局与 aEEG 的背景模式、电活动、SWC 和评分系统的综合评分呈正相关。与背景模式、癫痫发作和 SWC 等单独实体相比，评分系统具有更高的 r 值、特异性、PPV 和较低的敏感性。评分系统预测结局的受试者工作特征（ROC）曲线下面积为 0.93（95%可信区间，0.878-0.990），截断值为 7.5。
aEEG 可能是一种监测高危足月新生儿脑功能的潜在工具，对神经发育结局不良的风险较高。我们提出的基于 aEEG 的评分系统可以客观地量化 aEEG 提供的信息，并能很好地预测神经发育结局。
