当前位置: X-MOL 学术Appl. Neuropsychol. Child › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Predictive value of electroencephalogram, event-related potential, and general movements quality assessment in neurodevelopmental outcome of high-risk infants
Applied Neuropsychology: Child ( IF 1.4 ) Pub Date : 2021-02-22 , DOI: 10.1080/21622965.2021.1879085
Qinfen Zhang 1 , Yongsu Hu 1 , Xuan Dong 1 , Wenjuan Tu 1
Affiliation  

Abstract

Objective

The objective of the study is to investigate the predictive value of electroencephalogram (EEG), event-related potential (ERP), and general movements (GMs) quality assessment in the neurodevelopmental outcome of high-risk infants at one year old.

Methods

EEG and ERP were performed in high-risk infants at four weeks old, and GMs quality was evaluated once at 4 weeks and once at 12 weeks. The Gesell score was used to assess neurodevelopment outcome at one year old. A comparative analysis of the effects of EEG, GMs, EEG + ERP, and EEG + ERP + GMs was used to predict high-risk neonatal neurodevelopmental outcome.

Results

Of 71 high-risk infants at the age of one year, 3 (4.23%) had cerebral palsy, 14 (19.72%) had psychomotor retardation, and 54 (76.05%) were normal. The sensitivity, specificity, positive predictive value, and negative predictive value of EEG + ERP + GMs method were 90.00%, 95.08%, 75.00%, and 98.31%, respectively, and these indexes were the highest among the four methods (EEG, GMs, EEG + ERP, and EEG + ERP + GMs). The kappa statistic for the reliability of predicting neurodevelopmental outcome of high risk newborns by the EEG + ERP + GMs method was substantial at 0.785, while the other three methods obtained relatively low Kappa values (0.599, 0.586, and 0.712, respectively).

Conclusions

The combination of EEG, ERP, and GMs quality assessment can greatly improve the prediction of neurodevelopmental outcome of high-risk newborns.



中文翻译:

脑电图、事件相关电位和一般运动质量评估在高危婴儿神经发育结局中的预测价值

摘要

客观的

该研究的目的是调查脑电图 (EEG)、事件相关电位 (ERP) 和一般运动 (GMs) 质量评估对一岁高危婴儿神经发育结果的预测价值。

方法

高危婴儿4周龄时进行EEG和ERP,4周龄和12周龄评估GMs质量一次。Gesell 评分用于评估一岁时的神经发育结果。对 EEG、GM、EEG + ERP 和 EEG + ERP + GM 的影响的比较分析用于预测高危新生儿神经发育结果。

结果

1岁高危婴儿71例,脑瘫3例(4.23%),精神运动迟缓14例(19.72%),正常54例(76.05%)。EEG+ERP+GMs方法的敏感性、特异性、阳性预测值和阴性预测值分别为90.00%、95.08%、75.00%和98.31%,这些指标在四种方法中(EEG、GMs)最高。 、脑电图 + ERP 和脑电图 + ERP + GM)。通过 EEG + ERP + GMs 方法预测高危新生儿神经发育结果的可靠性的 kappa 统计量为 0.785,而其他三种方法的 kappa 值相对较低(分别为 0.599、0.586 和 0.712)。

结论

EEG、ERP 和 GMs 质量评估的结合可以大大提高对高危新生儿神经发育结局的预测。

更新日期:2021-02-22
down
wechat
bug