Clinical Trials Directory

Trials / Suspended

SuspendedNCT03806660

Early DiaGnosis of Anoxic Brain Injury for Resuscitated Patients

Evaluation of Early Prognosis Factors of Neurological Evolution After Resuscitated Cardiac Arrest in Adults

Status
Suspended
Phase
Study type
Observational
Enrollment
500 (estimated)
Sponsor
Centre Hospitalier Régional Metz-Thionville · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

Summary

Sudden cardiac arrest (CA) in adults remains a major public health issue in industrialized countries, leading to a mortality rate greater than 90%. The analysis of French data estimates the number of sudden deaths at around 40,000 per year. The incidence rate for non-hospital CAs is 55 per 100,000 every year with an immediate survival rate of 9% and 4.8% at one year.

Detailed description

Approximately 80 % of patients who survive CA with cardiopulmonary resuscitation are comatose. The longer it lasts, the lower chances of recovery. The evaluation of the neurological prognosis of these patients is an important issue. Indeed, 72% of patients admitted to an intensive care unit after resuscitation from CA will give rise to an ethical discussion with the family. The prognostication strategy is usually based on a multimodal process involving clinical examination, electro-neurophysiological and biological examinations. We plan to study the relevance of early neurological prognostic tests in the aftermath of CA and in particular the most recent techniques such as the use of a clinical score (CAHP for Cardiac Arrest Hospital Prognosis), automated infrared pupillometry (NEUROLIGHT ALGISCAN, IDMED) for pupillary reflex measurement and quantitative analysis of the continuous amplitude-integrated electroencephalogram (aEEG) BRAIN QUICK ICU LINE, MICROMED. These new prognostic criteria for CA (CAHP score, pupillometry and aEEG) developed separately have not yet been integrated into a multimodal strategy. The goal of this study is to evaluate the performance of CAHP score, infrared automated pupillometry and aEEG to predict as early as 24h from ROSC the neurological prognosis (Cerebral Performance Categories) at hospital discharge.

Conditions

Timeline

Start date
2018-09-01
Primary completion
2024-09-01
Completion
2025-09-01
First posted
2019-01-16
Last updated
2024-02-23

Locations

1 site across 1 country: France

Source: ClinicalTrials.gov record NCT03806660. Inclusion in this directory is not an endorsement.