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Even in patients with successful return of spontaneous circulation (ROSC), outcome after cardiac arrest remains poor. The overall in-hospital survival rate widely varies both worldwide and across communities, from 1 to 4 folds according to circumstances of arrest and post-resuscitation interventions. Several studies have already shown that early interventions performed after ROSC, such as treatment of the cause, targeted temperature management, optimal hemodynamic management and extra-corporeal life support in selected patients, could improve the outcome in post-cardiac arrest patients. However, the decision process regarding the allocation of these resources, in parallel with the management of patients' proxies, remains a complex challenge for physicians facing these situations. Consequently, several prediction models and scores have been developed in order to stratify the risk of unfav
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