EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest.

Détails

Ressource 1Télécharger: 28235724_postPrint.pdf (706.02 [Ko])
Etat: Public
Version: Author's accepted manuscript
ID Serval
serval:BIB_5C14F93BFB86
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest.
Périodique
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Auteur(s)
Zubler F., Steimer A., Kurmann R., Bandarabadi M., Novy J., Gast H., Oddo M., Schindler K., Rossetti A.O.
ISSN
1872-8952 (Electronic)
ISSN-L
1388-2457
Statut éditorial
Publié
Date de publication
05/02/2017
Peer-reviewed
Oui
Volume
128
Numéro
4
Pages
635-642
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: publish
Résumé
Outcome prognostication in comatose patients after cardiac arrest (CA) remains a major challenge. Here we investigated the prognostic value of combinations of linear and non-linear bivariate EEG synchronization measures.
94 comatose patients with EEG within 24h after CA were included. Clinical outcome was assessed at 3months using the Cerebral Performance Categories (CPC). EEG synchronization between the left and right parasagittal, and between the frontal and parietal brain regions was assessed with 4 different quantitative measures (delta power asymmetry, cross-correlation, mutual information, and transfer entropy). 2/3 of patients were used to assess the predictive power of all possible combinations of these eight features (4 measures×2 directions) using cross-validation. The predictive power of the best combination was tested on the remaining 1/3 of patients.
The best combination for prognostication consisted of 4 of the 8 features, and contained linear and non-linear measures. Predictive power for poor outcome (CPC 3-5), measured with the area under the ROC curve, was 0.84 during cross-validation, and 0.81 on the test set. At specificity of 1.0 the sensitivity was 0.54, and the accuracy 0.81.
Combinations of EEG synchronization measures can contribute to early prognostication after CA. In particular, combining linear and non-linear measures is important for good predictive power.
Quantitative methods might increase the prognostic yield of currently used multi-modal approaches.

Pubmed
Web of science
Open Access
Oui
Création de la notice
07/03/2017 20:47
Dernière modification de la notice
20/08/2019 15:14
Données d'usage