Tuiskula Anna, Pospelov Alexey S, Nevalainen Päivi, Montazeri Saeed, Metsäranta Marjo, Haataja Leena, Stevenson Nathan, Tokariev Anton, Vanhatalo Sampsa
Department of Pediatrics, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
BABA Center, Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Pediatr Res. 2025 Jan;97(1):261-267. doi: 10.1038/s41390-024-03235-y. Epub 2024 May 14.
To assess whether computational electroencephalogram (EEG) measures during the first day of life correlate to clinical outcomes in infants with perinatal asphyxia with or without hypoxic-ischemic encephalopathy (HIE).
We analyzed four-channel EEG monitoring data from 91 newborn infants after perinatal asphyxia. Altogether 42 automatically computed amplitude- and synchrony-related EEG features were extracted as 2-hourly average at very early (6 h) and early (24 h) postnatal age; they were correlated to the severity of HIE in all infants, and to four clinical outcomes available in a subcohort of 40 newborns: time to full oral feeding (nasogastric tube NGT), neonatal brain MRI, Hammersmith Infant Neurological Examination (HINE) at three months, and Griffiths Scales at two years.
At 6 h, altogether 14 (33%) EEG features correlated significantly to the HIE grade ([r]= 0.39-0.61, p < 0.05), and one feature correlated to NGT ([r]= 0.50). At 24 h, altogether 13 (31%) EEG features correlated significantly to the HIE grade ([r]= 0.39-0.56), six features correlated to NGT ([r]= 0.36-0.49) and HINE ([r]= 0.39-0.61), while no features correlated to MRI or Griffiths Scales.
Our results show that the automatically computed measures of early cortical activity may provide outcome biomarkers for clinical and research purposes.
The early EEG background and its recovery after perinatal asphyxia reflect initial severity of encephalopathy and its clinical recovery, respectively. Computational EEG features from the early hours of life show robust correlations to HIE grades and to early clinical outcomes. Computational EEG features may have potential to be used as cortical activity biomarkers in early hours after perinatal asphyxia.
评估出生第一天的计算机脑电图（EEG）测量值是否与有无缺氧缺血性脑病（HIE）的围产期窒息婴儿的临床结局相关。
我们分析了91例围产期窒息新生儿的四通道EEG监测数据。共提取了42个自动计算的与振幅和同步性相关的EEG特征，在出生后极早期（6小时）和早期（24小时）每2小时进行一次平均；这些特征与所有婴儿的HIE严重程度相关，也与40例新生儿亚组中的四种临床结局相关：完全经口喂养时间（鼻胃管喂养，NGT）、新生儿脑MRI、三个月时的哈默史密斯婴儿神经学检查（HINE）以及两岁时的格里菲斯量表。
在6小时时，共有14个（33%）EEG特征与HIE分级显著相关（[r]=0.39 - 0.61，p<0.05），1个特征与NGT相关（[r]=0.50）。在24小时时，共有13个（31%）EEG特征与HIE分级显著相关（[r]=0.39 - 0.56），6个特征与NGT（[r]=0.36 - 0.49）和HINE（[r]=0.39 - 0.61）相关，而没有特征与MRI或格里菲斯量表相关。
我们的结果表明，早期皮质活动的自动计算测量值可为临床和研究目的提供结局生物标志物。
围产期窒息后的早期EEG背景及其恢复分别反映了脑病的初始严重程度及其临床恢复情况。出生后早期的计算机EEG特征与HIE分级和早期临床结局显示出强烈的相关性。计算机EEG特征可能有潜力在围产期窒息后的早期用作皮质活动生物标志物。
