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哪些振幅整合脑电图模式可预测早产儿的神经发育结局?——一项系统综述。

Which aEEG patterns could predict neurodevelopmental outcome in preterm neonates? - A systematic review.

作者信息

Santos Mariana Martins Dantas, Eilers Isadora Souza, Werle Taís Michele, Trein Gabriel Lorentz, Silva Lara Michel da, Canton Luiz Eduardo Leal, Nunes Magda Lahorgue

机构信息

Junior research fellows from the Brain Institute (BraIns) Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil.

Professor of Neurology, School of Medicine, and Brain Institute (BraIns) Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil.

出版信息

Brain Dev. 2025 Feb;47(1):104315. doi: 10.1016/j.braindev.2024.104315. Epub 2024 Dec 31.

DOI:10.1016/j.braindev.2024.104315
PMID:39742707
Abstract

OBJECTIVE

Amplitude-integrated electroencephalogram (aEEG) enables continuous and simplified bedside monitoring of brain function. This review aims to investigate aEEG's value as a predictor of neurodevelopment outcome in preterm infants.

METHODS

PubMed, Embase and Web of Science were systematically searched according to the PRISMA in April 2023 and updated in October 2023. The protocol was registered on PROSPERO platform and the methodological quality of studies was analyzed using the Newcastle-Ottawa Scale (NOS).

RESULTS

Nineteen articles (18 cohort and 1 case-control study) were included, reporting the recording of aEEG in 2074 preterm neonates and its association to neurodevelopment outcome. In most studies, aEEG recording started within 72 h of life. The mean NOS score for prospective and retrospective cohort studies were 6 (4-7, median 6) and 6.6 (6-7, median 7), respectively. The case-control study received 7 stars. Burst suppression and low voltage background were associated with poor neurodevelopmental outcome, while normal background and established cyclicity was correlated with a favorable outcome, especially when they occurred in the first week of life.

CONCLUSION

The background patterns and cyclicity of aEEG seems to be reliable patterns to help predict neurodevelopmental outcome in premature infants, especially when monitorization started early.

摘要

目的

振幅整合脑电图(aEEG)能够对脑功能进行连续且简化的床边监测。本综述旨在探讨aEEG作为早产儿神经发育结局预测指标的价值。

方法

按照PRISMA在2023年4月对PubMed、Embase和Web of Science进行系统检索,并于2023年10月更新。该方案在PROSPERO平台注册,并使用纽卡斯尔-渥太华量表(NOS)分析研究的方法学质量。

结果

纳入19篇文章(18篇队列研究和1篇病例对照研究),报告了2074例早产新生儿的aEEG记录及其与神经发育结局的关联。在大多数研究中,aEEG记录在出生后72小时内开始。前瞻性和回顾性队列研究的平均NOS评分分别为6(4-7,中位数6)和6.6(6-7,中位数7)。病例对照研究获得7星。爆发抑制和低电压背景与不良神经发育结局相关,而正常背景和建立的周期性与良好结局相关,尤其是在出生后第一周出现时。

结论

aEEG的背景模式和周期性似乎是有助于预测早产儿神经发育结局的可靠模式,尤其是在早期开始监测时。

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Which aEEG patterns could predict neurodevelopmental outcome in preterm neonates? - A systematic review.哪些振幅整合脑电图模式可预测早产儿的神经发育结局?——一项系统综述。
Brain Dev. 2025 Feb;47(1):104315. doi: 10.1016/j.braindev.2024.104315. Epub 2024 Dec 31.
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Comparison of two common aEEG classifications for the prediction of neurodevelopmental outcome in preterm infants.两种常见的振幅整合脑电图(aEEG)分类方法对早产儿神经发育结局预测的比较。
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Relationship between brain function (aEEG) and brain structure (MRI) and their predictive value for neurodevelopmental outcome of preterm infants.脑功能(aEEG)与脑结构(MRI)的关系及其对早产儿神经发育结局的预测价值。
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Quantitative analysis of amplitude-integrated electroencephalogram patterns in stable preterm infants, with normal neurological development at one year.振幅整合脑电图模式在稳定早产儿中的定量分析,其在 1 岁时具有正常的神经发育。
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Cognitive outcome of early school-aged children born very preterm is not predicted by early short-term amplitude-integrated electroencephalography.极早早产儿的学龄前期认知结果无法由早期短期振幅整合脑电图预测。
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Early abnormal amplitude-integrated electroencephalography (aEEG) is associated with adverse short-term outcome in premature infants.早期异常振幅整合脑电图(aEEG)与早产儿短期不良预后相关。
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