• Prognostic Value of Echocardiographic Parameters Based on Machine Learning Approach

  NCT05772091

  Unknown statusObservationalUpdated Mar 28, 2024
• Etiological DiagnOsis of caRdiac Diseases Based on echoCardiograpHIc Images and Clinical Data.

  NCT05942729

  RecruitingObservationalUpdated Jul 13, 2023
• New Diagnostic Strategy in Hypertrophic Cardiomyopathy

  NCT02520856

  Unknown statusObservationalUpdated Aug 13, 2015
• 3D Non-invasive Myocardial Electrical Propagation Mapping as a New Tool to Predict Sudden Death Risk in Patients With Hypertrophic Cardiomyopathy

  NCT03550573

  CompletedInterventionalNot ApplicableUpdated Jan 18, 2023
• French Registry: Late Gadolinium Enhancement in Hypertrophic Cardiomyopathy

  NCT07428031

  Not yet recruitingObservationalUpdated Feb 23, 2026
• Optimisation of Decision Making for Defibrillator Implantation in Hypertrophic Cardiomyopathy

  NCT03846297

  RecruitingObservationalUpdated Mar 16, 2023

ClinicalTrials.gov ID

NCT06256913

Lead Sponsor

Pr. Nicolas GIRERDOTHER

Overall Status

Unknown status

Study Type

Observational

Enrollment

870Estimated

Last Update Posted

Feb 13, 2024Actual

Start Date

May 6, 2023Actual

Primary Completion Date

May 6, 2024Estimated

Completion Date

May 6, 2024Estimated

Official Title

Phénogroupage basé Sur l'Apprentissage Automatique Dans la Cardiomyopathie Hypertrophique Pour Identifier Les Facteurs prédictifs de la Fibrose Myocardique et Les événements Cardiovasculaires

Brief Summary

Hypertrophic cardiomyopathy is a pathology with a highly variable course, ranging from patients who are asymptomatic throughout their lives to those who experience sudden death and/or terminal heart failure.

The main objective is to develop and validate an algorithm (constructed through supervised learning) using cardiac imaging data to predict the risk of cardiovascular events in sarcomeric hypertrophic cardiomyopathy.

• Hypertrophic Cardiomyopathy

Ages Eligible for Study

Adult (18-64)Older Adult (65+)

Sexes Eligible for Study

All

Accepts Healthy Volunteers

No

Eligibility Criteria

Inclusion Criteria:

• Age >18
• Patients with confirmed sarcomeric hypertrophic cardiomyopathy

Exclusion Criteria:

• Echocardiographic data not allowing deep analysis (technical default, bad echogenicity of the patient)
• Other causes of left ventricular hypertrophy that may hamper the diagnosis (p.e. aortic or sub-aortic stenosis, severe renal insufficiency, hypertension).
• History of ischemic heart disease or associated myocarditis
• Opposition of the patient to the use of his/her data

Observational Model

Cohort

Time Perspective

Retrospective

Lead Sponsor

Pr. Nicolas GIRERDOTHER

o.huttin@chru-nancy.fr