Hypertrophic Cardiomyopathy Federated Learning Implementation Platform

NCT ID: NCT06461468

Last Updated: 2024-08-06

Study Results

Results pending

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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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-06-05

Study Completion Date

2026-01-31

Brief Summary

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HCM FLIP study is a two-phase protocol focusing on the detection of Hypertrophic Cardiomyopathy using Electrocardiograms and Echocardiograms through Federated Learning.

Detailed Description

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HCM FLIP (Hypertrophic Cardiomyopathy Federated Learning Implementation Platform) aim to build and test a model's system impact to detect hypertrophic cardiomyopathy (HCM) by training a machine learning (ML) model with electrocardiograms (ECGs) and echocardiograms (ECHOs). Approximately 10-1000 HCM cases and 30-10,000 age/sex-matched controls per institution, depending on size, will be included in the study. We hypothesize that a federated ML model will discriminate cases of HCM from those without HCM in a real-world setting.

Conditions

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Hypertrophic Cardiomyopathy

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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HCM-Labeled Cases

Cases with maximum left ventricular wall thickness exceeding 15 mm (including the right ventricular component of the septum) without any other explanation for ventricular hypertrophy (e.g., severe hypertension, cardiac amyloidosis, severe aortic stenosis (AS)). The measurement could be made in an echocardiogram or on magnetic resonance imaging (MRI).

No interventions assigned to this group

Control Cases (Non-HCM)

No diagnosis of HCM.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Patients with maximum left ventricular wall thickness exceeding 15 mm (including the right ventricular component of the septum) without any other explanation for ventricular hypertrophy (e.g., severe hypertension, cardiac amyloidosis, severe AS, as determined by local investigators). The measurement could be made in an ECHO or on magnetic resonance imaging (MRI).
* Patients must have \> one (1) ECG and/or \> one (1) ECHO available that meet minimum compatibility requirements. If multiple ECGs and ECHOs are available per patient, then all available data meeting compatibility requirements will be used for model training purposes.


* No diagnosis of HCM
* Age/sex are matched to HCM cases (+/- 5 years, if possible; +/- 10 years if numbers do not permit).
* Patient must have \> one (1) ECG and/or \> one (1) ECHO available that meet minimum compatibility requirements. If multiple ECGs and ECHOs are available per patient, then all available data meeting compatibility requirements will be used for model training purposes.

Exclusion Criteria

* Any sign of infiltration found in cardiac MRI, if performed.


* Suggestion of HCM in a clinically obtained ECHO or cardiac MRI report unless subsequently confirmed no diagnosis of HCM. Any new clinical information discovered during the study will be left to the discretion of the local investigator.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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American Heart Association

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Samantha Johnson, MPH

Role: STUDY_DIRECTOR

American Heart Association

Locations

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Thomas Hospital

Fairhope, Alabama, United States

Site Status

Riverside Medical Center

Kankakee, Illinois, United States

Site Status

Johns Hopkins University School of Medicine

Baltimore, Maryland, United States

Site Status

University of Michigan Medical Center

Ann Arbor, Michigan, United States

Site Status

Wooster Community Hospital

Wooster, Ohio, United States

Site Status

The University of Texas Southwestern Medical Center

Dallas, Texas, United States

Site Status

Countries

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United States

Other Identifiers

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HCM FLIP

Identifier Type: -

Identifier Source: org_study_id

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