Disorders of Neuronal Migration/Organization Convey the Highest Risk of Neonatal Onset Epilepsy Compared With Other Congenital Brain Malformations.


Journal

Pediatric neurology
ISSN: 1873-5150
Titre abrégé: Pediatr Neurol
Pays: United States
ID NLM: 8508183

Informations de publication

Date de publication:
02 2022
Historique:
received: 12 07 2021
revised: 02 11 2021
accepted: 06 11 2021
pubmed: 22 12 2021
medline: 19 2 2022
entrez: 21 12 2021
Statut: ppublish

Résumé

Although seizures in neonates are common and often due to acute brain injury, 10-15% are unprovoked from congenital brain malformations. A better understanding of the risk of neonatal-onset epilepsy by the type of brain malformation is essential for counseling and monitoring. In this retrospective cohort study, we evaluated 132 neonates with congenital brain malformations and their risk of neonatal-onset epilepsy. Malformations were classified into one of five categories based on imaging patterns on prenatal or postnatal imaging. Infants were monitored with continuous video EEG (cEEG) for encephalopathy and paroxysmal events in addition to abnormal neuroimaging. Seventy-four of 132 (56%) neonates underwent EEG monitoring, and 18 of 132 (14%) were diagnosed with neonatal-onset epilepsy. The highest prevalence of epilepsy was in neonates with disorders of neuronal migration/organization (9/34, 26%; 95% confidence interval [CI] = 13-44%), followed by disorders of early prosencephalic development (6/38, 16%; 95% CI = 6-31%), complex total brain malformations (2/16, 13%; 95% CI = 2-38%), and disorders of midbrain/hindbrain malformations (1/30, 3%; 95% CI = 0-17%). Of neonates with epilepsy, 5 of 18 (28%) had only electrographic seizures, 13 of 18 (72%) required treatment with two or more antiseizure medicines (ASMs), and 7 of 18 (39%) died within the neonatal period. Our results demonstrate that disorders of neuronal migration/organization represent the highest-risk group for early-onset epilepsy. Seizures are frequently electrographic only, require treatment with multiple ASMs, and portend a high mortality rate. These results support American Clinical Neurophysiology Society recommendations for EEG monitoring during the neonatal period for infants with congenital brain malformations.

Sections du résumé

BACKGROUND
Although seizures in neonates are common and often due to acute brain injury, 10-15% are unprovoked from congenital brain malformations. A better understanding of the risk of neonatal-onset epilepsy by the type of brain malformation is essential for counseling and monitoring.
METHODS
In this retrospective cohort study, we evaluated 132 neonates with congenital brain malformations and their risk of neonatal-onset epilepsy. Malformations were classified into one of five categories based on imaging patterns on prenatal or postnatal imaging. Infants were monitored with continuous video EEG (cEEG) for encephalopathy and paroxysmal events in addition to abnormal neuroimaging.
RESULTS
Seventy-four of 132 (56%) neonates underwent EEG monitoring, and 18 of 132 (14%) were diagnosed with neonatal-onset epilepsy. The highest prevalence of epilepsy was in neonates with disorders of neuronal migration/organization (9/34, 26%; 95% confidence interval [CI] = 13-44%), followed by disorders of early prosencephalic development (6/38, 16%; 95% CI = 6-31%), complex total brain malformations (2/16, 13%; 95% CI = 2-38%), and disorders of midbrain/hindbrain malformations (1/30, 3%; 95% CI = 0-17%). Of neonates with epilepsy, 5 of 18 (28%) had only electrographic seizures, 13 of 18 (72%) required treatment with two or more antiseizure medicines (ASMs), and 7 of 18 (39%) died within the neonatal period.
CONCLUSION
Our results demonstrate that disorders of neuronal migration/organization represent the highest-risk group for early-onset epilepsy. Seizures are frequently electrographic only, require treatment with multiple ASMs, and portend a high mortality rate. These results support American Clinical Neurophysiology Society recommendations for EEG monitoring during the neonatal period for infants with congenital brain malformations.

Identifiants

pubmed: 34933271
pii: S0887-8994(21)00250-2
doi: 10.1016/j.pediatrneurol.2021.11.005
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20-27

Subventions

Organisme : NINDS NIH HHS
ID : K23 NS105918
Pays : United States

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Roxanne Simmons (R)

Department of Neurology and Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, California.

Ariadna Borras Martinez (AB)

Department of Neonatology, Hospital Sant Joan de Deu of Barcelona, Barcelona, Spain.

James Barkovich (J)

Department of Radiology and Biomedical Engineering, University of California, San Francisco, San Francisco, California.

Adam L Numis (AL)

Department of Neurology and Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, California.

Maria Roberta Cilio (MR)

Department of Pediatrics, Saint-Luc University Hospital, Catholic University of Louvain, Brussels, Belgium.

Orit A Glenn (OA)

Department of Radiology and Biomedical Engineering, University of California, San Francisco, San Francisco, California.

Dawn Gano (D)

Department of Neurology and Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, California; Department of Pediatrics, Benioff Children's Hospital, University of California, San Francisco, San Francisco, California.

Elizabeth E Rogers (EE)

Department of Pediatrics, Benioff Children's Hospital, University of California, San Francisco, San Francisco, California.

Hannah C Glass (HC)

Department of Neurology and Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, California; Department of Pediatrics, Benioff Children's Hospital, University of California, San Francisco, San Francisco, California; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California. Electronic address: Hannah.Glass@ucsf.edu.

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