Predictive Outcome in Comatose Patients

Recruiting now

Conditions studied: Coma, Heart Arrest, Cardiopulmonary Resuscitation

In brief

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.

Key facts

Study ID
NCT05321459
Run by
Assistance Publique - Hôpitaux de Paris
People needed
100
Starts
2023-11-15
Expected to finish
2028-05-29
Last updated by the study team
2025-12-23

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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