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Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study.


ABSTRACT: BACKGROUND:To improve the objective assessment of continuous video-EEG (cEEG) monitoring of neonatal brain function, the aim was to relate automated derived amplitude and duration parameters of the suppressed periods in the EEG background (dynamic Interburst Interval= dIBIs) after neonatal hypoxic-ischemic encephalopathy (HIE) to favourable or adverse neurodevelopmental outcome. METHODS:Nineteen neonates (gestational age 36-41 weeks) with HIE underwent therapeutic hypothermia and had cEEG-monitoring. EEGs were retrospectively analyzed with a previously developed algorithm to detect the dynamic Interburst Intervals. Median duration and amplitude of the dIBIs were calculated at 1?h-intervals. Sensitivity and specificity of automated EEG background grading for favorable and adverse outcomes were assessed at 6?h-intervals. RESULTS:Dynamic IBI values reached the best prognostic value between 18 and 24?h (AUC of 0.93). EEGs with dIBI amplitude ?15??V and duration <10?s had a specificity of 100% at 6-12?h for favorable outcome but decreased subsequently to 67% at 25-42?h. Suppressed EEGs with dIBI amplitude <15??V and duration >10?s were specific for adverse outcome (89-100%) at 18-24?h (n = 10). Extremely low voltage and invariant EEG patterns were indicative of adverse outcome at all time points. CONCLUSIONS:Automated analysis of the suppressed periods in EEG of neonates with HIE undergoing TH provides objective and early prognostic information. This objective tool can be used in a multimodal strategy for outcome assessment. Implementation of this method can facilitate clinical practice, improve risk stratification and aid therapeutic decision-making. A multicenter trial with a quantifiable outcome measure is warranted to confirm the predictive value of this method in a more heterogeneous dataset.

SUBMITTER: Dereymaeker A 

PROVIDER: S-EPMC6372079 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study.

Dereymaeker Anneleen A   Matic Vladimir V   Vervisch Jan J   Cherian Perumpillichira J PJ   Ansari Amir H AH   De Wel Ofelie O   Govaert Paul P   De Vos Maarten M   Van Huffel Sabine S   Naulaers Gunnar G   Jansen Katrien K  

Pediatrics and neonatology 20180404 1


<h4>Background</h4>To improve the objective assessment of continuous video-EEG (cEEG) monitoring of neonatal brain function, the aim was to relate automated derived amplitude and duration parameters of the suppressed periods in the EEG background (dynamic Interburst Interval= dIBIs) after neonatal hypoxic-ischemic encephalopathy (HIE) to favourable or adverse neurodevelopmental outcome.<h4>Methods</h4>Nineteen neonates (gestational age 36-41 weeks) with HIE underwent therapeutic hypothermia and  ...[more]

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