Cardiovascular Digital Health Data Observatory
NCT05316025 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000
Last updated 2022-04-07
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
- Cardiovascular Diseases
- Digital
- Health Data
- Observatory
- Coronarography
- Heart Failure
- Cardiovascular
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
More Related Trials
-
Prognostic Role of High Sensitivity Troponin During Follow up in the Evolution of Acute Myocarditis
NCT05949450 ·Status: NOT_YET_RECRUITING
-
Prospective Coronary Heart Disease Cohort
NCT05699629 ·Status: RECRUITING
-
Metabolomic Profile of Patients Undergoing Myocardial Perfusion SPECT
NCT02968771 ·Status: UNKNOWN
-
Database Registry of the Intermountain Heart Collaborative Study
NCT00406185 ·Status: ACTIVE_NOT_RECRUITING
-
Using Retinal Photograph Based AI to Predict Incident Coronary Heart Disease
NCT06695273 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
STUDIO DELLE MANIFESTAZIONI CARDIOVASCOLARI A LUNGO TERMINE MEDIANTE TECNICHE DI IMAGING
NCT05770336 ·Status: COMPLETED
-
Prognostic Value of SPECT-imaging Myocardial Perfusion Heterogeneity
NCT02208765 ·Status: UNKNOWN ·Phase: NA
-
Warning Model of Myocardial Remodeling After Acute Myocardial Infarction Using Multimodal Feature Structure Technology
NCT06062316 ·Status: ACTIVE_NOT_RECRUITING
-
Clinical Outcomes of Patients With Coronary Artery Disease
NCT06216847 ·Status: RECRUITING
-
Assessment of Prognosis and Myocardial Reperfusion in Patients with ST-segment-elevation Myocardial Infarction (STEMI) According to Coronary Atherosclerotic Burden.
NCT06876974 ·Status: NOT_YET_RECRUITING
-
a Foundational Model for Cardiovascular Disease Diagnosis and Prediction
NCT06591923 ·Status: NOT_YET_RECRUITING
-
EPIdemiological Approaches to the Cardiovascular Consequences of COVID-19
NCT04498091 ·Status: UNKNOWN
-
Prognostic Value of Cardial Stress Perfusion Imaging
NCT04564794 ·Status: COMPLETED
-
Immunogenetic Factors of Coronary Heart Disease
NCT00005184 ·Status: COMPLETED
-
Hospital Registry of Acute Myocarditis: Evolution of the Proportion of Positive SARS-COV-2 (COVID19) Cases
NCT04375748 ·Status: COMPLETED
-
Evaluation of Coronary Microvascular Dysfunction (EVACORY)
NCT01995955 ·Status: COMPLETED ·Phase: NA
-
Predictive Factors and Consequences of Myocardial Fibrosis in Hypertrophic Cardiomyopathy
NCT02922517 ·Status: UNKNOWN
-
Evaluation of Integrated Cardiac Imaging in Ischemic Heart Disease
NCT00979199 ·Status: COMPLETED ·Phase: PHASE4
-
Mechanisms Behind Microvascular Dysfunction in INOCA
NCT06529861 ·Status: NOT_YET_RECRUITING
-
Observatory on Emergency Care for Acute Coronary Syndrome in Grand Est of France
NCT02887066 ·Status: UNKNOWN
-
Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods
NCT06314295 ·Status: RECRUITING
-
Myocardial Ischemia in Non-obstructive Coronary Artery Disease
NCT01853527 ·Status: COMPLETED
-
Individualized Prevention Strategy for High Risk Patients in Cardiovascular Disease: Prospective Cohort Study (Cardiovascular and Metabolic Disease Etiology Research Center - HIgh Risk Cohort) CMERC-HI
NCT02003781 ·Status: UNKNOWN
-
Diabetic/Metabolic Cardiomyopathy: Prevalence and Phenotype
NCT05181631 ·Status: UNKNOWN ·Phase: NA
-
Sex Difference of Coronary Microvascular Dysfunction in Patients With Non-obstructive Coronary Artery Disease
NCT06076551 ·Status: RECRUITING