Evaluation of Paroxysmal Events in Critically Ill Patients: Relationship of Primary Diagnosis to Long-Term Electroencephalogram Yield.

admission diagnosis continuous electroencephalogram diagnostic yield paroxysmal activities

Journal

The Neurohospitalist
ISSN: 1941-8744
Titre abrégé: Neurohospitalist
Pays: United States
ID NLM: 101558199

Informations de publication

Date de publication:
Apr 2024
Historique:
pmc-release: 01 04 2025
medline: 26 4 2024
pubmed: 26 4 2024
entrez: 26 4 2024
Statut: ppublish

Résumé

Continuous EEG (cEEG) is indicated for the workup of paroxysmal events. We aimed to assess whether primary admission diagnoses predict the yield of cEEG when ordered for evaluating paroxysmal events. We identified patients in the ICU who underwent at least 6 hours of cEEG monitoring to evaluate paroxysmal events. Primary admission diagnoses were categorized into neurological or non-neurological conditions. cEEG results were dichotomized into presence or absence of epileptiform discharges. We identified 159 recordings that were obtained for the evaluation of paroxysmal events. Most patients (n = 100, 63%) were admitted with primary admission diagnoses of neurological disorders, such as ischemic stroke, or intracranial hemorrhage. We found that patients with primary neurological conditions were more likely to have brain surgeries, abnormal brain imaging, and focal neurological deficits on examination compared to those with primary non-neurological conditions. However, there was no significant difference in the prevalence of epileptiform discharges in cEEG among patients with primary diagnoses of neurological or non-neurological disorders. These results suggest that cEEG is often necessary to evaluate paroxysmal events, even among patients without primary neurological disorders.

Identifiants

pubmed: 38666279
doi: 10.1177/19418744231215958
pii: 10.1177_19418744231215958
pmc: PMC11040618
doi:

Types de publication

Journal Article

Langues

eng

Pagination

178-181

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Hai Chen (H)

Departments of Neurology, School of Medicine and Health Sciences George Washington University, Washington, DC, USA.
Department of Neurology, Weill Cornell Medicine, New York, NY, USA.

Andrew Becker (A)

Departments of Neurology, School of Medicine and Health Sciences George Washington University, Washington, DC, USA.

Eugenie Atallah (E)

Departments of Neurology, School of Medicine and Health Sciences George Washington University, Washington, DC, USA.

Jennifer Pauldurai (J)

Departments of Neurology, School of Medicine and Health Sciences George Washington University, Washington, DC, USA.

Mohamad Koubeissi (M)

Departments of Neurology, School of Medicine and Health Sciences George Washington University, Washington, DC, USA.

Classifications MeSH