Standardized EEG analysis to reduce the uncertainty of outcome prognostication after cardiac arrest.

Filippo BongiovanniFederico RomagnosiGiuseppina BarbellaArianna Di RoccoAndrea O RossettiFabio Silvio TacconeClaudio SandroniMauro Oddo

Published in: Intensive care medicine (2020)

In the majority of comatose CA patients, the outcome remains indeterminate after application of ERC/ESICM prognostication algorithm. Standardized EEG background analysis enables accurate prediction of both good and poor recovery, thereby greatly reducing uncertainty about coma prognostication in this patient population.

Keyphrases

cardiac arrest
end stage renal disease
ejection fraction
cardiopulmonary resuscitation
functional connectivity
machine learning
prognostic factors
deep learning
high resolution