ClinicalTrials.gg
Enrolling by invitationNCT06461468HCM FLIPUpdated Aug 6, 2024

Hypertrophic Cardiomyopathy Federated Learning Implementation Platform

An observational study in Hypertrophic Cardiomyopathy, sponsored by American Heart Association. Enrolling by invitation at 6 sites in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-08-06.

Sponsored by American Heart Association · Observational

From the registry’s dates

  • Primary completion was expected by Jan 2026, 10 months ago, but the record still lists the study as enrolling by invitation.
Study type
Observational
Model
Case-control
Time perspective
Retrospective
Enrollment
1,000
Ages
18 Years and older
Sex
All
01

Study summary

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

Read the detailed description

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.

02

Conditions studied

  • Hypertrophic Cardiomyopathy

Keywords

  • HCM
  • Hypertrophic Cardiomyopathy
  • Federated Learning
  • Federated Learning Platform
  • FLP
03

In context

Cardiomyopathy, Hypertrophic

363 studies on the registry are indexed under Cardiomyopathy, Hypertrophic; 116 are open to participants now.

This study's planned enrollment of 1,000 is above the median of 259 across 174 observational studies indexed under Cardiomyopathy, Hypertrophic.

Browse Cardiomyopathy, Hypertrophic studies →

Lead sponsor

American Heart Association is the lead sponsor of 13 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Enrollment Target:

Phase 1: Approximately 10-100 HCM cases and 30-10,000 age/sex-matched controls per institution, depending on size, will be included in the study. Since a larger sample size benefits training ML models, additional cases could be included based on availability within each institution.

Phase 2: Institution-specific cohort of patients (see Section 7.4.2) to simulate implementation of the algorithm; natural case control ratio and consecutive patients for identified period of time. The numbers of patients will be dependent on the volume of each institution and should reflect the local practice.

Eligibility criteria

HCM-Labeled Case 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) 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.

HCM-Labeled Case Exclusion Criteria:

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

Control Case (Non-HCM) Inclusion Criteria:

  • 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.

Control Case (Non-HCM) Exclusion Criteria

  • 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.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

ECG (electrocardiogram)

A recording of the heart’s electrical activity, taken with stickers on the chest, arms and legs. It takes a few minutes and does not hurt.

05

Study design

Observational model
Case-control
Time perspective
Retrospective
Enrollment
1,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • 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).

  • Control Cases (Non-HCM)

    No diagnosis of HCM.

06

What researchers measure

Primary outcomes

  1. Diagnosis of HCM

    The number/instances of HCM diagnoses as identified by the ML model as compared to clinical diagnosis confirmation. Due to model training and efficacy goals, HCM diagnosis determined clinically via EKG/ECHO reading will be compared to the ML model's capacity to identify HCM correctly and efficiently.

    Time frame: Through study completion, an average of 2 years

Secondary outcomes

  1. Diagnosis of different types of HCM

    Diagnosis of different types of HCM (i.e., apical, obstructive), HCM without hypertrophy, genetic positive/negative indicators, among others, as identified by the ML model as compared to clinical diagnosis confirmation. Due to model training and efficacy goals, HCM diagnosis determined clinically via EKG/ECHO reading will be compared to the ML model's capacity to identify HCM correctly and efficiently.

    Time frame: Through study completion, an average of 2 years

07

Study locations

6 sites
08

References and documents

Individual participant data

Plan to share: No — No participant data is identifiable nor will be shared across participating institutions.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 6, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06461468
Lead sponsor
American Heart Association
Responsible party
Sponsor
First posted
Jun 17, 2024
Start date
Jun 5, 2024
Primary completion
Jan 2026 (estimated)
Completion
Jan 2026 (estimated)
Last update
Aug 6, 2024

Study contacts

Samantha Johnson, MPH
study director · American Heart Association

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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No contact was published for this record. The registry link below has the sponsor’s details.

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