New Predictive Tool of Awakening in Comatose Patients in the Intensive Care Unit
Evaluating the prognosis of comatose patients after cardiac arrest (CA) in the intensive care unit (ICU) remains challenging. It requires a multimodal approach combining standardized clinical examination, serum biomarkers, imaging and classically electrophysiological examinations, (among them auditive evoked potentials or AEP) but none has a sufficient sensitivity/specificity. In a preliminary study, the investigators developed an algorithm from the signal collected with AEP, and generated a probability map to visually classify the participants after the algorithm processing. Participants could be classified either with a good neurological prognosis or with bad neurological prognosis or death. The investigators hypothesize that the PRECOM tool, applied blindly to a large prospective multicenter cohort of patients admitted to intensive care for coma in the aftermath of CA will predict neurological prognosis at 3 months with high sensitivity and specificity.
• Age above18 years old
• Patient affiliated to a French Heath Care Insurance
• Admitted in the intensive care unit (ICU) for coma post extra- or intra-hospital cardiac arrest (CA) with shockable or non-shockable rhythm
• Persistent coma on day 3 after post CA, defined by the inability to respond to a verbal command in an appropriate manner (motor Glasgow components ≤ 3) and at the time of neurophysiological recordings (D3-D7 ± week -end).