EEG Reactivity in Neurologic Prognostication in Post-Cardiac Arrest Patients: A Narrative Review.

EEG cardiac arrest coma neuroprognostication reactivity review

Journal

Resuscitation
ISSN: 1873-1570
Titre abrégé: Resuscitation
Pays: Ireland
ID NLM: 0332173

Informations de publication

Date de publication:
12 Sep 2024
Historique:
received: 08 07 2024
revised: 31 08 2024
accepted: 10 09 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 14 9 2024
Statut: aheadofprint

Résumé

Electroencephalographic reactivity (EEG-R) is a promising early predictor of arousal in comatose patients after cardiac arrest. Despite recent guidelines advocating for the integration of EEG-R into the multimodal prognostication model, EEG-R testing methods remain heterogeneous across studies. While efforts towards standardization have been made to reduce interrater variability by the development of quantitative approaches and machine learning models, future validation studies are needed to increase clinical applicability and generalization. Furthermore, the specific neurophysiological mechanisms and neuroanatomical correlates underlying EEG-R are not well understood. In this narrative review, we explore the value and possible mechanisms of EEG-R, focusing on post-cardiac arrest comatose patients. We aim to discuss the current standard of knowledge and future directions, as well as elucidate possible implications for patient care and research.

Identifiants

pubmed: 39277070
pii: S0300-9572(24)00292-2
doi: 10.1016/j.resuscitation.2024.110398
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

110398

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Marlen Fahrner (M)

Department of Neurology, Division of Neurocritical Care, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: fahrner.marlen@gmail.com.

Jaeho Hwang (J)

Department of Neurology, Division of Epilepsy, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Sung-Min Cho (SM)

Departments of Neurology, Surgery, and Anesthesiology - Critical Care Medicine, Division of Neurocritical Care, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Nitish V Thakor (NV)

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland USA.

Christa W Habela (CW)

Department of Neurology, Division of Epilepsy, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Peter W Kaplan (PW)

Department of Neurology, Division of Epilepsy, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Romergryko G Geocadin (RG)

Departments of Neurology, Anesthesiology - Critical Care Medicine, and Neurosurgery, Division of Neurocritical Care, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Classifications MeSH