Cardiovascular Digital Health Data Observatory

NCT05316025 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2022-04-07

No results posted yet for this study

Summary

The COVID-19 health crisis has led to a drastic decrease in the rate of myocardial infarction without the causes being completely identified. They are probably multiple, but this crisis has confirmed the need for massive health data from different horizons to better assess coronary disease in order to develop precision medicine. This objective is now achievable thanks to the use of tools such as big data and artificial intelligence (AI). Our team is developing algorithms to analyze medical images and identify people at risk of major cardiovascular events. These algorithms which are developed with retrospective data must be validated on prospective data, which is the objective of the Grenoble cardiovascular digital health data observatory.

The algorithm that will be validated is currently being created as part of a RIPH 3 study "AIDECORO" (NCT: 04598997). It is being developed from clinical, biological and imaging data from 600 patients with ST+ infarction and 1000 "control" patients who have undergone coronary angiography (these data are exported and stored in the PREDIMED health data warehouse via the hospital information system).

Conditions

Sponsors & Collaborators

  • University Hospital, Grenoble

    lead OTHER

Principal Investigators

  • Gilles Barone-Rochette · CHU Grenoble Alpes

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-31
Primary Completion
2025-01-31
Completion
2025-01-31

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05316025 on ClinicalTrials.gov