La puissance spectrale du signal EEG permet une meilleure prédiction du pronostic le premier plutôt que le deuxième jour après un arrêt cardiaque

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Serval ID
serval:BIB_B9CE1B355473
Type
A Master's thesis.
Publication sub-type
Master (thesis) (master)
Collection
Publications
Institution
Title
La puissance spectrale du signal EEG permet une meilleure prédiction du pronostic le premier plutôt que le deuxième jour après un arrêt cardiaque
Author(s)
NGUEPNJO NGUISSI N. A.
Director(s)
DE LUCIA M.
Institution details
Université de Lausanne, Faculté de biologie et médecine
Publication state
Accepted
Issued date
2022
Language
english
Number of pages
26
Abstract
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.
Keywords
Cardiac arrest, EEG recording, early prognostication, sedation
Create date
12/09/2023 14:58
Last modification date
25/07/2024 5:57
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