Stratification of Arrhythmic Risk and/or Heart Failure Risk in Patients With Hereditary Heart Disease
NCT ID: NCT07257289
Last Updated: 2026-01-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
1000 participants
OBSERVATIONAL
2026-02-01
2036-12-12
Brief Summary
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In this project, the investigator will develop a data processing and analysis pipeline using artificial intelligence methods to assess the individual risk of serious arrhythmic events or heart failure in patients with hereditary arrhythmic diseases or cardiomyopathies through the automated processing of multimodal data (clinical data, electrocardiogram (ECG), imaging (echocardiography, MRI magnetic resonance imaging), genetic data, biomarkers).
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Detailed Description
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The investigator undertakes to obtain the person's free, informed and express consent, collected in writing, after providing them with oral and written information on the protocol and allowing them sufficient time to reflect. In the case of a minor patient, the investigator undertakes to inform the minor patient and their legal representatives orally and in writing and to obtain the minor's assent, i.e. their oral or written agreement depending on their age, and the written consent of their legal representatives.
Specific acts for research:
* Collection of two additional EDTA tubes (2 x 5 ml) during a blood test carried out as part of routine care, except for minors under the age of 4, for whom a saliva sample will be offered instead.
* Collection of one dry tube (5 ml) during a blood test carried out as part of routine care for biomarker analysis and only for adult patients.
Clinical data will be collected in a parameterised and secure eCRF (electronic Case Report Form).
Patients will be followed in the routine care for maximum 10 years. Arrhythmias, heart failure and sudden cardiac death will be collected during follow-up.
A data processing and analysis pipeline using artificial intelligence methods to assess the individual risk of serious arrhythmic events or heart failure in patients with hereditary arrhythmic diseases or cardiomyopathies through the automated processing of multimodal data (clinical data, electrocardiogram (ECG), imaging (echocardiography, MRI magnetic resonance imaging), genetic data, biomarkers) will be developped.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
1 Year
100 Years
ALL
No
Sponsors
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Nantes University Hospital
OTHER
Responsible Party
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Locations
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CHU de Bordeaux
Bordeaux, , France
CHU de Brest
Brest, , France
CHU de Clermont-Ferrand
Clermont-Ferrand, , France
CHU de Dijon
Dijon, , France
CHU de La Rochelle
La Rochelle, , France
CHU de Limoges
Limoges, , France
CHU de Montpellier
Montpellier, , France
CHU de Nantes
Nantes, , France
CHU de Poitiers
Poitiers, , France
CHU de Rennes
Rennes, , France
CHU de Strasbourg
Strasbourg, , France
CHU de Toulouse
Toulouse, , France
CHU de Tours
Tours, , France
CHU de la Martinique
Fort-de-France, , Martinique
CHU de la Réunion
Saint-Pierre, , Reunion
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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RC25_0107
Identifier Type: -
Identifier Source: org_study_id
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