NCT06461468

Brief Summary

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

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2024

Geographic Reach
1 country

6 active sites

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 4, 2024

Completed
1 day until next milestone

Study Start

First participant enrolled

June 5, 2024

Completed
12 days until next milestone

First Posted

Study publicly available on registry

June 17, 2024

Completed
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2026

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2026

Completed
Last Updated

August 6, 2024

Status Verified

August 1, 2024

Enrollment Period

1.6 years

First QC Date

June 4, 2024

Last Update Submit

August 5, 2024

Conditions

Keywords

HCMHypertrophic CardiomyopathyFederated LearningFederated Learning PlatformFLP

Outcome Measures

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.

    Through study completion, an average of 2 years

Secondary Outcomes (1)

  • Diagnosis of different types of HCM

    Through study completion, an average of 2 years

Study Arms (2)

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.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-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.

You may qualify if:

  • 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.

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (6)

Thomas Hospital

Fairhope, Alabama, 36532, United States

Location

Riverside Medical Center

Kankakee, Illinois, 60901, United States

Location

Johns Hopkins University School of Medicine

Baltimore, Maryland, 21287, United States

Location

University of Michigan Medical Center

Ann Arbor, Michigan, 48109, United States

Location

Wooster Community Hospital

Wooster, Ohio, 44691, United States

Location

The University of Texas Southwestern Medical Center

Dallas, Texas, 75390, United States

Location

MeSH Terms

Conditions

Cardiomyopathy, Hypertrophic

Condition Hierarchy (Ancestors)

CardiomyopathiesHeart DiseasesCardiovascular DiseasesAortic Stenosis, SubvalvularAortic Valve StenosisAortic Valve DiseaseHeart Valve Diseases

Study Officials

  • Samantha Johnson, MPH

    American Heart Association

    STUDY DIRECTOR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 4, 2024

First Posted

June 17, 2024

Study Start

June 5, 2024

Primary Completion

January 1, 2026

Study Completion

January 1, 2026

Last Updated

August 6, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will not share

No participant data is identifiable nor will be shared across participating institutions.

Locations