To assess whether stimulus-induced modifications of electromyographic activity observed on scalp EEG have a prognostic value in comatose patients after cardiac arrest. 184 adult patients from a multi-centric prospective register who underwent an early EEG after cardiac arrest were included. Auditory and somatosensory stimulation was performed during EEG-recording. EEG reactivity (EEG-R) and EMG reactivity (EMG-R) were retrospectively assessed visually by board-certified electroencephalographers, and compared with clinical outcome (cerebral performance category, CPC) at three months. A favorable functional outcome was defined as CPC 1-2, an unfavorable outcome as CPC 3-5. Both EEG-R and EMG-R were predictors for good outcome (EEG-R accuracy ...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Electroencephalography (EEG) is a key modality for assessment of prognosis following cardiac arrest ...
The prognostic role of electroencephalography during and after targeted temperature management in po...
To assess whether stimulus-induced modifications of electromyographic activity observed on scalp EEG...
Prediction of outcome (prognostication) after Cardiac Arrest (CA) is a daily faced challenge for cli...
OBJECTIVE: To determine the additional value of EEG reactivity (EEG-R) testing to EEG background pat...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Objective. To test the value of quantifiable electrical stimuli as a reliable method to assess elect...
International audiencePurpose: To evaluate the predictive value of EEG reactivity assessment and con...
Background: In patients after cardiac arrest (CA), EEG reactivity (EEG-R) is proposed as a prognosti...
Objective: Electroencephalogram (EEG) reactivity is a robust predictor of neurological recovery afte...
Multiple prognostic tools are used to evaluate prognosis for comatose survivors resuscitated after c...
Objective: To test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
Electroencephalographic (EEG) reactivity testing is often presented as a clear-cut element of electr...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Electroencephalography (EEG) is a key modality for assessment of prognosis following cardiac arrest ...
The prognostic role of electroencephalography during and after targeted temperature management in po...
To assess whether stimulus-induced modifications of electromyographic activity observed on scalp EEG...
Prediction of outcome (prognostication) after Cardiac Arrest (CA) is a daily faced challenge for cli...
OBJECTIVE: To determine the additional value of EEG reactivity (EEG-R) testing to EEG background pat...
Objective: Outcome prediction in patients after cardiac arrest (CA) is challenging. Electroencephalo...
Objective. To test the value of quantifiable electrical stimuli as a reliable method to assess elect...
International audiencePurpose: To evaluate the predictive value of EEG reactivity assessment and con...
Background: In patients after cardiac arrest (CA), EEG reactivity (EEG-R) is proposed as a prognosti...
Objective: Electroencephalogram (EEG) reactivity is a robust predictor of neurological recovery afte...
Multiple prognostic tools are used to evaluate prognosis for comatose survivors resuscitated after c...
Objective: To test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning...
Objective: To identify reliable predictors of outcome in comatose patients after cardiac arrest usin...
Electroencephalographic (EEG) reactivity testing is often presented as a clear-cut element of electr...
Aims: To assess the accuracy of electroencephalogram (EEG) and somatosensory evoked potentials (SEPs...
Electroencephalography (EEG) is a key modality for assessment of prognosis following cardiac arrest ...
The prognostic role of electroencephalography during and after targeted temperature management in po...