Neonatal seizures during extra corporeal membrane oxygenation support.

ECMO Electroencephalogram Intensive care Neonate Seizure

Journal

European journal of pediatrics
ISSN: 1432-1076
Titre abrégé: Eur J Pediatr
Pays: Germany
ID NLM: 7603873

Informations de publication

Date de publication:
15 Mar 2024
Historique:
received: 26 01 2024
accepted: 02 03 2024
revised: 28 02 2024
medline: 15 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: aheadofprint

Résumé

To evaluate EEG monitoring during neonatal ECMO and to identify any correlations between seizure detection to abnormal neuroimaging. Eight-year, service evaluation of neonates who received at least one continuous EEG (cEEG) whilst on ECMO at Great Ormond Street Hospital. Pearson's chi-square test and multivariate logistic regression analysis were used to assess clinical and EEG variables association with seizures and neuroimaging findings. Fifty-seven neonates were studied; 57 cEEG recordings were reviewed. The incidence of seizures was 33% (19/57); of these 74% (14/19) were electrographic-only. The incidence of status epilepticus was 42%, (8/19 with 6 neonates having electrographic-only status and 2 electro-clinical status. Seizures were detected within an hour of recording in 84%, (16/19). The overall mortality rate was 39% (22/57). Seizure detection was strongly associated with female gender (OR 4.8, 95% CI: 1.1-20.4, p = 0.03), abnormal EEG background activity (OR 2.8, 95% CI: 1.1-7.4, p = 0.03) and abnormal EEG focal features (OR 23.6, 95% CI: 5.4-103.9, p = 0.001). There was a strong association between the presence of seizures and abnormal neuroimaging findings (OR 10.9, 95% CI: 2.8-41.9, p = 0.001). Neonates were highly likely to have abnormal neuroimaging findings in the presence of severely abnormal background EEG (OR 9.5, 95% CI 1.7-52.02, p = 0.01) and focal EEG abnormalities (OR 6.35, 95% CI 1.97-20.5, p = 0.002)Conclusion: The study highlights the importance of cEEG in neonates undergoing ECMO. An association between seizure detection and abnormal neuroimaging findings was described. What is Known: • Patients on ECMO are at a higher risk of seiures. • Continuous EEG monitoring is recommended by the ACNS for high risk and ECMO patients. What is New: • In this cohort, neonates with sezirues were 11 times more likely of having abnromal neuroimaging findings. • Neonates with burst suppressed or suppressed EEG background were 9.5 times more likely to have abnormal neuroimaging findings. What does this study add? • This study reports a 33% incidence of neonatal seizures during ECMO. • Neonates with seizures were 11 times more likely to have an abnormal brain scan. • The study captures the real-time approach of EEG monitoring. • Recommended cEEG monitoring should last at least 24 h for ECMO patients. • This is the first study to assess this in neonates only.

Identifiants

pubmed: 38488877
doi: 10.1007/s00431-024-05510-w
pii: 10.1007/s00431-024-05510-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. Crown.

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Auteurs

Maria Chalia (M)

Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK. maria.chalia@gosh.nhs.uk.
Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK. maria.chalia@gosh.nhs.uk.

Davinder Singh (D)

Cardiac Intensive Care Unit, Great Ormond Street Hospital for Children, London, UK.

Stewart G Boyd (SG)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK.

Simon Hannam (S)

Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK.

Aparna Hoskote (A)

Cardiac Intensive Care Unit, Great Ormond Street Hospital for Children, London, UK.

Ronit Pressler (R)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK.
Clinical Neuroscience, University College London, UCL, Great Ormond Street Institute of Child Health, London, UK.

Classifications MeSH