NCT05321459

Predictive Outcome in Comatose Patients

New Predictive Tool of Awakening in Comatose Patients in the Intensive Care Unit

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: Assistance Publique - Hôpitaux de Paris · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

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.

Detailed description

Evaluating the prognosis of comatose participants after cardiac arrest (CA) in the intensive care unit remains challenging. It requires a multimodal approach combining standardized clinical examination, serum biomarkers, imaging and classically electrophysiological examinations: 1 / the electroencephalogram, bad prognosis assessed when the electroencephalogram (EEG) is discontinuous, areactive, monotone,…), 2 / somesthetic evoked potentials, the absence of the N20 cortical wave has a specificity of poor prognosis of 68-100% and 3 / auditory evoked potentials (AEP), the presence of mismatchnegativity (MMN) would be of good prognosis with a specificity up to 90% but rarely performed in current practice. Routinely, these examinations are sometimes difficult to interpret in sedated participants, in an intensive care unit environment that generates numerous artefacts. Above all, all these techniques require the presence of a neurophysiology unit, with few experts available. In a preliminary study, in collaboration with the applied mathematics laboratory of the ENS (Ecole Normale Supérieure), an algorithm was developed from the signal extracted from AEP. A probability map was generated with a software allowing to visually classify the participants after processing signal by the algorithm in a cluster of points with a high specificity into "good neurological prognosis" and "bad neurological prognosis". Neither artifacts or sedation prevented data analysis. The investigators hypothesize that the "PRECOM" tool, applied blindly to a large prospective multicenter cohort of participants admitted to intensive care for coma in the aftermath of a caridiac arrest will predict the neurological prognosis of participants with high sensitivity and specificity. This tool, carried out during the first week of the coma, will be compared to a standardized procedure used routinely by the participating resuscitators.

Conditions

• Coma
• Heart Arrest
• Cardiopulmonary Resuscitation

Interventions

Type	Name	Description
OTHER	Neurological prognosis	In usual practice, in intensive care unit, evaluating the neurological prognosis of comatose patients after cardiac arrest requires a multimodal approach combining standardized clinical examination, serum biomarkers, imaging and classically electrophysiological examinations (among them auditive evoked potentials or AEP). An algorithm (PRECOM tool) which has been previously developed from the signal extracted from AEP allows to visually classify the patients after processing signal by the algorithm in a cluster of points with a high specificity into "good neurological prognosis" and "bad neurological prognosis". The AEP signals recorded in the 1st and 2nd week of patient inclusion are to be collected by the neurophysiologist. At the end of the patient's participation in the study, these data will be encrypted, anonymized and transmitted to the mathematician to be processed by the PRECOM tool.

Timeline

• Start date: 2023-11-15
• Primary completion: 2028-03-01
• Completion: 2028-05-29
• First posted: 2022-04-11
• Last updated: 2025-12-23

Locations

7 sites across 1 country: France