AiCR: Using AI to predict outcomes in Cardiac Arrest
Official title: AiCR : Artificial Intelligence in Cardiac aRrest Application of an Algorithm in the Prognosis of Recovered Cardiorespiratory Arrests
Run by Centre Hospitalier Universitaire de Nice · NCT04462380 · Data updated 2026-11-12
Aims to test an AI algorithm that predicts mortality and recurrence risk for patients admitted to ICU with cardiac arrest.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Centre Hospitalier Universitaire de Nice Academic / other |
| Locations | 1 site (Nice) |
| Status | Recruiting |
| Started | February 1, 2020 |
| Main results expected | September 30, 2022 |
| Study ends | June 25, 2027 |
| Registry record updated | June 29, 2026 |
| Trial ID | NCT04462380 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are patients recovered from cardiac arrest who have hospitalization reports available in PDF format.
✕Probably not a fit
Patients without suitable CRH data or those outside the ICU post-arrest setting may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study explores an algorithm designed to predict mortality and recurrence risk for post-arrest ICU patients using hospitalization reports. The approach leverages computerized CRH data converted from PDFs to feed machine learning models. The effort builds on prior AI applications in critical care to try to improve risk stratification and inform care decisions.
Why it matters
Potential benefit: If successful, the algorithm could help clinicians identify high-risk patients and tailor interventions more effectively.
How similar studies have gone: There is precedent for AI systems aiding prediction in critical care, but application to post-arrest mortality and recurrence risk is emerging.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * OCA recovered from: hypoxic, ischemic, pulmonary embolism, tamponade, rhythm or conduction disorder, shockable or not, intra or extra-hospital. * CR computerized, typed in PDF format Exclusion Criteria: \-
Where it's running
-
Nice Hospital
Nice, France Recruiting
Study contacts
- Study coordinator: Jean DELLAMONICA
- Email: dellamonica.j@chu-nice.fr
- Phone: 33 4 920 35 510
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.