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Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants
Early amplitude-integrated electroencephalography (aEEG) has been widely used in term infants with brain injury to predict neurodevelopmental outcomes; however, the prognostic value of early aEEG in preterm infants is unclear. We evaluated how well early aEEG could predict brain damage and long-term...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562298/ https://www.ncbi.nlm.nih.gov/pubmed/26348553 http://dx.doi.org/10.1038/srep13810 |
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author | Song, Juan Xu, Falin Wang, Laishuan Gao, Liang Guo, Jiajia Xia, Lei Zhang, Yanhua Zhou, Wenhao Wang, Xiaoyang Zhu, Changlian |
author_facet | Song, Juan Xu, Falin Wang, Laishuan Gao, Liang Guo, Jiajia Xia, Lei Zhang, Yanhua Zhou, Wenhao Wang, Xiaoyang Zhu, Changlian |
author_sort | Song, Juan |
collection | PubMed |
description | Early amplitude-integrated electroencephalography (aEEG) has been widely used in term infants with brain injury to predict neurodevelopmental outcomes; however, the prognostic value of early aEEG in preterm infants is unclear. We evaluated how well early aEEG could predict brain damage and long-term neurodevelopmental outcomes in very preterm infants compared with brain imaging assessments. We found that severe aEEG abnormalities (p = 0.000) and aEEG total score < 5 (p = 0.006) within 72 h after birth were positively correlated with white-matter damage, but aEEG abnormalities were not associated with intracranial hemorrhage (p = 0.186). Severe abnormalities in aEEG recordings, head ultrasound, and cranial magnetic resonance imaging (MRI) were all positively correlated with poor outcome at 18 months corrected age. The predictive power of poor outcomes of the aEEG and MRI combination was the same as the aEEG, MRI, and head ultrasound combination with a sensitivity of 52.4%, specificity of 96.2%, positive predictive value of 78.6%, and negative predictive value of 88.4%. These results indicate that severely abnormal aEEG recordings within 72 h after birth can predict white-matter damage and long-term poor outcomes in very preterm infants. Thus aEEG can be used as an early marker to monitor very preterm infants. |
format | Online Article Text |
id | pubmed-4562298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45622982015-09-15 Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants Song, Juan Xu, Falin Wang, Laishuan Gao, Liang Guo, Jiajia Xia, Lei Zhang, Yanhua Zhou, Wenhao Wang, Xiaoyang Zhu, Changlian Sci Rep Article Early amplitude-integrated electroencephalography (aEEG) has been widely used in term infants with brain injury to predict neurodevelopmental outcomes; however, the prognostic value of early aEEG in preterm infants is unclear. We evaluated how well early aEEG could predict brain damage and long-term neurodevelopmental outcomes in very preterm infants compared with brain imaging assessments. We found that severe aEEG abnormalities (p = 0.000) and aEEG total score < 5 (p = 0.006) within 72 h after birth were positively correlated with white-matter damage, but aEEG abnormalities were not associated with intracranial hemorrhage (p = 0.186). Severe abnormalities in aEEG recordings, head ultrasound, and cranial magnetic resonance imaging (MRI) were all positively correlated with poor outcome at 18 months corrected age. The predictive power of poor outcomes of the aEEG and MRI combination was the same as the aEEG, MRI, and head ultrasound combination with a sensitivity of 52.4%, specificity of 96.2%, positive predictive value of 78.6%, and negative predictive value of 88.4%. These results indicate that severely abnormal aEEG recordings within 72 h after birth can predict white-matter damage and long-term poor outcomes in very preterm infants. Thus aEEG can be used as an early marker to monitor very preterm infants. Nature Publishing Group 2015-09-08 /pmc/articles/PMC4562298/ /pubmed/26348553 http://dx.doi.org/10.1038/srep13810 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Song, Juan Xu, Falin Wang, Laishuan Gao, Liang Guo, Jiajia Xia, Lei Zhang, Yanhua Zhou, Wenhao Wang, Xiaoyang Zhu, Changlian Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title | Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title_full | Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title_fullStr | Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title_full_unstemmed | Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title_short | Early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
title_sort | early amplitude-integrated electroencephalography predicts brain injury and neurological outcome in very preterm infants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4562298/ https://www.ncbi.nlm.nih.gov/pubmed/26348553 http://dx.doi.org/10.1038/srep13810 |
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