Titre
La puissance spectrale du signal EEG permet une meilleure prédiction du pronostic le premier plutôt que le deuxième jour après un arrêt cardiaque
Type
mémoire de master/maîtrise/licence
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Auteur(s)
NGUEPNJO NGUISSI, N. A.
Auteure/Auteur
Directrices/directeurs
DE LUCIA, M.
Directeur⸱rice
Liens vers les personnes
Liens vers les unités
Faculté
Université de Lausanne, Faculté de biologie et médecine
Statut éditorial
Accepté
Date de publication
2022
Nombre de pages
26
Langue
anglais
Résumé
Background: Early prognostication of long-term outcome of comatose patients after cardiac arrest (CA) remains a challenge with a high degree of uncertainty. Electroencephalography (EEG) based power spectra within 24 hours after cardiac arrest have been shown to help identifying patients with favorable outcome. Here we aim at comparing the power spectra prognostic values during the first and second day after coma onset, and to investigate the impact of sedation on prognostication.
Methods: We collected resting-state EEG in comatose patients (N=104) on the first and second day after CA in four Swiss hospitals, Lausanne, Bern Fribourg and Sion. We evaluated if the average power spectra value at 5.2-13.2Hz were predictive of patients’ outcome based on cerebral performance categories (CPC), measured at three months, and dichotomized as favorable (CPC 1-2) and unfavorable (CPC 3-5).
Results: Power spectra values provided 100% positive predictive value (95% CI: 0.73-1.00) on the first day of coma, with correctly predicted 21 out of 55 favorable outcome patients. On the second day, power spectra values were not different between favorable and unfavorable outcome patients. On the first day, sedation levels did not differ between patients for which the outcome could be predicted versus those for which it could not.
Conclusion: Comatose patients’ outcome prediction based on EEG power spectra is sensitive to the time of recording, being better very early after CA. Sedation does not appear as the main explanatory factor for this temporal sensitivity. EEG power spectra values on the first day of coma are promising tools for the early identification of patients with favorable outcome.
Methods: We collected resting-state EEG in comatose patients (N=104) on the first and second day after CA in four Swiss hospitals, Lausanne, Bern Fribourg and Sion. We evaluated if the average power spectra value at 5.2-13.2Hz were predictive of patients’ outcome based on cerebral performance categories (CPC), measured at three months, and dichotomized as favorable (CPC 1-2) and unfavorable (CPC 3-5).
Results: Power spectra values provided 100% positive predictive value (95% CI: 0.73-1.00) on the first day of coma, with correctly predicted 21 out of 55 favorable outcome patients. On the second day, power spectra values were not different between favorable and unfavorable outcome patients. On the first day, sedation levels did not differ between patients for which the outcome could be predicted versus those for which it could not.
Conclusion: Comatose patients’ outcome prediction based on EEG power spectra is sensitive to the time of recording, being better very early after CA. Sedation does not appear as the main explanatory factor for this temporal sensitivity. EEG power spectra values on the first day of coma are promising tools for the early identification of patients with favorable outcome.
Sujets
PID Serval
serval:BIB_B9CE1B355473
Date de création
2023-09-12T13:58:43.562Z
Date de création dans IRIS
2025-05-21T04:26:21Z
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Nom
Mémoire no 9282 Mme Nguepnjo.pdf
Version du manuscrit
imprimatur
Taille
1.01 MB
Format
Adobe PDF
PID Serval
serval:BIB_B9CE1B355473.P001
Somme de contrôle
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