Interrater variability of EEG interpretation in comatose cardiac arrest patients.

Détails

ID Serval
serval:BIB_7E88E3B7E5B6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Interrater variability of EEG interpretation in comatose cardiac arrest patients.
Périodique
Clinical Neurophysiology
Auteur(s)
Westhall E., Rosén I., Rossetti A.O., van Rootselaar A.F., Wesenberg Kjaer T., Friberg H., Horn J., Nielsen N., Ullén S., Cronberg T.
ISSN
1872-8952 (Electronic)
ISSN-L
1388-2457
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
126
Numéro
12
Pages
2397-2404
Langue
anglais
Notes
Publication types: Journal Article ; Multicenter Study ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
OBJECTIVE: EEG is widely used to predict outcome in comatose cardiac arrest patients, but its value has been limited by lack of a uniform classification. We used the EEG terminology proposed by the American Clinical Neurophysiology Society (ACNS) to assess interrater variability in a cohort of cardiac arrest patients included in the Target Temperature Management trial. The main objective was to evaluate if malignant EEG-patterns could reliably be identified.
METHODS: Full-length EEGs from 103 comatose cardiac arrest patients were interpreted by four EEG-specialists with different nationalities who were blinded for patient outcome. Percent agreement and kappa (κ) for the categories in the ACNS EEG terminology and for prespecified malignant EEG-patterns were calculated.
RESULTS: There was substantial interrater agreement (κ 0.71) for highly malignant patterns and moderate agreement (κ 0.42) for malignant patterns. Substantial agreement was found for malignant periodic or rhythmic patterns (κ 0.72) while agreement for identifying an unreactive EEG was fair (κ 0.26).
CONCLUSIONS: The ACNS EEG terminology can be used to identify highly malignant EEG-patterns in post cardiac arrest patients in an international context with high reliability.
SIGNIFICANCE: The establishment of strict criteria with high transferability between interpreters will increase the usefulness of routine EEG to assess neurological prognosis after cardiac arrest.
Mots-clé
Aged, Coma/diagnosis, Coma/physiopathology, Electroencephalography/standards, Female, Heart Arrest/diagnosis, Heart Arrest/physiopathology, Humans, Male, Middle Aged, Observer Variation
Pubmed
Web of science
Création de la notice
02/12/2015 10:24
Dernière modification de la notice
20/08/2019 14:39
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