Electroencephalogram (EEG) in COVID-19: A systematic retrospective study.


Journal

Neurophysiologie clinique = Clinical neurophysiology
ISSN: 1769-7131
Titre abrégé: Neurophysiol Clin
Pays: France
ID NLM: 8804532

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 22 05 2020
revised: 08 06 2020
accepted: 08 06 2020
pubmed: 13 7 2020
medline: 31 7 2020
entrez: 13 7 2020
Statut: ppublish

Résumé

Although rare, neurological manifestations in SARS-CoV-2 infection are increasingly being reported. We conducted a retrospective systematic study to describe the electroencephalography (EEG) characteristics in this disease, looking for specific patterns. EEGs performed in patients with positive PCR for SARS-CoV-2 between 25/03/2020 and 06/05/2020 in the University Hospital of Bicêtre were independently reviewed by two experienced neurologists. We used the American Clinical Neurophysiology Society's terminology for the description of abnormal patterns. EEGs were classified into five categories, from normal to critically altered. Interobserver reliability was calculated using Cohen's kappa coefficient. Medical records were reviewed to extract demographics, clinical, imaging and biological data. Forty EEGs were reviewed in 36 COVID-19 patients, 18 in intensive care units (ICU) and 22 in medicine units. The main indications were confusion or fluctuating alertness for 23 (57.5%) and delayed awakening after stopping sedation in ICU in six (15%). EEGs were normal to mildly altered in 23 (57.5%) contrary to the 42.5% where EEG alterations were moderate in four (10%), severe in eight (20%) and critical in five (12.5%). Generalized periodic discharges (GPDs), multifocal periodic discharges (MPDs) or rhythmic delta activity (RDA) were found in 13 recordings (32.5%). EEG alterations were not stereotyped or specific. They could be related to an underlying morbid status, except for three ICU patients with unexplained encephalopathic features. In this first systematic analysis of COVID-19 patients who underwent EEG, over half of them presented a normal recording pattern. EEG alterations were not different from those encountered in other pathological conditions.

Identifiants

pubmed: 32653111
pii: S0987-7053(20)30057-5
doi: 10.1016/j.neucli.2020.06.001
pmc: PMC7315937
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155-165

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 Elsevier Masson SAS. All rights reserved.

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Auteurs

Ana-Maria Petrescu (AM)

Université Paris Saclay-APHP, Unité de Neurophysiologie Clinique et d'Epileptologie (UNCE), Le Kremlin-Bicêtre, France.

Delphine Taussig (D)

Université Paris Saclay-APHP, Unité de Neurophysiologie Clinique et d'Epileptologie (UNCE), Le Kremlin-Bicêtre, France. Electronic address: delphine.taussig@aphp.fr.

Viviane Bouilleret (V)

Université Paris Saclay-APHP, Unité de Neurophysiologie Clinique et d'Epileptologie (UNCE), Le Kremlin-Bicêtre, France; UMR BIOMAPS- CNRS, Université Paris Saclay, Inserm, CEA, 91401 Orsay, France.

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Classifications MeSH