Publication: EEG for good outcome prediction after cardiac arrest: A multicentre cohort study
EEG for good outcome prediction after cardiac arrest: A multicentre cohort study
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Turella, S., Dankiewicz, J., Ben-Hamouda, N., Bernhard Nilsen, K., Düring, J., Endisch, C., Engstrøm, M., Flügel, D., Gaspard, N., Grejs, A. M., Haenggi, M., Haffey, S., Imbach, L., Johnsen, B., Kemlink, D., Leithner, C., Legriel, S., Lindehammar, H., Mazzon, G., … Westhall, E. (2024). EEG for good outcome prediction after cardiac arrest: A multicentre cohort study. Resuscitation, 202, 110319. https://doi.org/10.1016/j.resuscitation.2024.110319
Abstract
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AIM: Assess the prognostic ability of a non-highly malignant and reactive EEG to predict good outcome after cardiac arrest (CA). METHODS: Prospective observational multicentre substudy of the "Targeted Hypothermia versus Targeted Normothermia after Out-of-hospital Cardiac Arrest Trial", also known as the TTM2-trial. Presence or absence of highly malignant EEG patterns and EEG reactivity to external stimuli were prospectively assessed and reported by the trial sites. Highly malignant patterns were defined as burst-suppression or suppre
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- Turella, S
- Dankiewicz, J
- Ben-Hamouda, N
- Bernhard Nilsen, K
- Düring, J
- Endisch, C
- Engstrøm, M
- Flügel, D
- Gaspard, N
- Grejs, A M
- Haenggi, M
- Haffey, S
- Imbach, Lukas
- Johnsen, B
- Kemlink, D
- Leithner, C
- Legriel, S
- Lindehammar, H
- Mazzon, G
- Nielsen, N
- Peyre, A
- Ribalta Stanford, B
- Roman-Pognuz, E
- Rossetti, A O
- Schrag, C
- Valeriánová, A
- Wendel-Garcia, Pedro
- Zubler, F
- Cronberg, T
- Westhall, E
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Turella, S., Dankiewicz, J., Ben-Hamouda, N., Bernhard Nilsen, K., Düring, J., Endisch, C., Engstrøm, M., Flügel, D., Gaspard, N., Grejs, A. M., Haenggi, M., Haffey, S., Imbach, L., Johnsen, B., Kemlink, D., Leithner, C., Legriel, S., Lindehammar, H., Mazzon, G., … Westhall, E. (2024). EEG for good outcome prediction after cardiac arrest: A multicentre cohort study. Resuscitation, 202, 110319. https://doi.org/10.1016/j.resuscitation.2024.110319
