Dilated Cardiomyopathy Detection Using AI and Screening With Mobile Technology (DCM-DETECT) (DCM-DETECT)

January 28, 2025 updated by: Lancaster General Hospital

Dilated Cardiomyopathy Detection Using Artificial Intelligence and Screening With Mobile Technology

This is a prospective, single-arm clinical trial in which participants with dilated cardiomyopathy will invite their first degree relatives to undergo mobile cardiac, electrocardiogram screening.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

The purpose of this study is to examine the impact of an "Artificial Intelligent" (AI) enhanced 6Lead (6L) mobile electrocardiogram (EKG) in encouraging first degree relatives (FDR) of probands with a dilated cardiomyopathy (DCM) to obtain appropriate cardiac screening.

The AI enhanced EKG (AI-EKG) will be acquired using the AliveCor KardiaMobile 6L system which allows the generation of prediction probabilities for reduced left ventricular function (LVEF). The AliveCor KardiaMobile 6L device is an FDA approved handheld smart device that records an EKG in 30 seconds to 5-minute increments. The device is an ambulatory wireless device that connects to a smartphone and is easy to use. The EKG signal is communicated wirelessly via Bluetooth to a mobile computing platform (MCP) which can be a smartphone or tablet. The MCP will be running either the KardiaRx mobile application if the participant is remote, or the KardiaStation App if the participation is on sight at either the Lancaster General Hospital (LGH) campus or the Central Pennsylvania Clinic (CPC) location. The 6L EKG is transmitted following processing by the Kardia Apps. The results of the EKG tracings recorded by the AliveCor devices will not be entered into the electronic medical record or used to guide clinical care. The EKG data from the recordings identified only by the connection code will be uploaded to the AliveCor cloud for proprietary AI analysis designed to detect impaired LVEF. This AI software for LVEF analysis is FDA approved.

All participating FDR will be encouraged to pursue cardiac screening per American College of Cardiology/American Heart Association (ACC/AHA) recommendations.

If available, the probands clinical 12Lead (12L) EKGs will be obtained if recorded within 30 days of their Kardia 6L recording. The concordance of the algorithm results applied to the Kardia 6L data with the 12L FDA approved LVEF algorithm results will be assessed.

Study Type

Interventional

Enrollment (Estimated)

150

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria (Proband)

  • Male or female age ≥ 18 years
  • Confirmed diagnosis of non-ischemic DCM determined at the discretion of the treating physician and defined as LVEF ≤ 45% at any time during the clinical course of the patient
  • Must have at least one living adult FDR
  • Able to provide informed consent

Inclusion Criteria (FDR)

  • Male or female age ≥ 18 years who are first-degree relatives of patients with DCM
  • Proband has provided informed consent
  • FDR able to provide informed verbal consent
  • Access to a smartphone or digital tablet with cellular data or Wi-Fi access

Exclusion Criteria (Proband)

  • DCM attributed to any other secondary form of cardiomyopathy per the investigator's determination
  • Proband has previously informed FDR to undergo cardiac screening
  • Ischemic cause of reduced LVEF

    • evidence of myocardial infarction, inducible ischemia or chest pain on stress testing in absence of coronary angiogram to rule out ischemic disease
    • history of acute coronary syndromes (STEMI (ST-Elevation Myocardial Infarction), NSTEMI (Non-ST-Elevation Myocardial Infarction) or unstable angina) revascularization or ≥75% stenosis of either left main or Left Anterior Descending (LAD) or ≥75% stenosis of 2 major epicardial vessels on angiogram
  • Moderate or greater primary valvular abnormality not due to underlying cardiomyopathy
  • Congenital structural heart disease
  • Severe and untreated or untreatable hypertension
  • Cardiomyopathy due to acute or reversible conditions; examples include tachyarrhythmias, thyroid disorders, iron overload
  • Any secondary cause of reduced LVEF such as pregnancy, myocarditis, amyloidosis, sarcoidosis, exposure to toxins including alcohol, substance abuse or chemotherapeutic drug
  • (CPC Participants only) Home address outside of traveling range

Exclusion Criteria (FDR)

  • Previously informed about cardiac screening or has completed cardiac screening by transthoracic echocardiogram (TTE)
  • Previously diagnosed with reduced LVEF
  • (CPC Participants only) Home address outside of traveling range

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: DCM Screening
Participants (probands) with dilated cardiomyopathy (DCM) will invite their first-degree relatives (FDR) to participate in DCM screening to examine the impact of an "Artificial Intelligent" (AI) enhanced 6lead (6L) mobile electrocardiogram (EKG) in encouraging FDR of probands with a DCM to obtain appropriate cardiac screening.

Participants (probands) with DCM will invite their first-degree relatives to undergo DCM screening procedures.

Probands and first-degree relatives will complete a mobile 6L AI-EKG which will be transmitted to a mobile app and interpreted by the AI-EKG algorithm. Results will be shared electronically or verbally to the participant.

If available, the probands clinical 12L EKGs will be obtained if recorded within 30 days of their Kardia 6L recording.

All participating FDR will be encouraged to pursue cardiac screening per ACC/AHA recommendations. Study staff will obtain echocardiogram results up to 6 months of participant enrollment.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
This study's primary endpoint is to assess the feasibility of performing AI-EKG test and the subsequent uptake of cardiac screening in FDR of DCM patients.
Time Frame: Assessed for a minimum of 3 months post enrollment up to 6 months post enrollment.
The number of consented FDR who successfully undergo AI-EKG and subsequent recommended cardiac follow up.
Assessed for a minimum of 3 months post enrollment up to 6 months post enrollment.

Secondary Outcome Measures

Outcome Measure
Time Frame
Positive AI-EKG screens among FDR of DCM probands (LVEF ≤ 45%)/total population of the FDR of DCM probands undergoing AI-EKG.
Time Frame: Assessed at time of EKG results. About 2 weeks post collection.
Assessed at time of EKG results. About 2 weeks post collection.

Other Outcome Measures

Outcome Measure
Time Frame
Responses to decliner survey questions addressing barriers to adoption of AI technology, variables that contribute to the reluctance to participate, and logistical barriers to research. surveys.
Time Frame: Assessed at time of decline and survey completion, about 30 minutes.
Assessed at time of decline and survey completion, about 30 minutes.
Positive cardiac screening procedures /total number of FDR undergoing cardiac screening procedures
Time Frame: Assessed at 3 months post enrollment check-in or 6 months post enrollment check-in if not completed by 3 months.
Assessed at 3 months post enrollment check-in or 6 months post enrollment check-in if not completed by 3 months.
Comparison of AI EKG reduced LVEF algorithm results between 6L Kardia EKG and 12L AI EKG, if available, in DCM probands.
Time Frame: Assessed during data analysis, 2 years after study start.
Assessed during data analysis, 2 years after study start.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Roy Small, MD, Penn Medicine / Lancaster General Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 4, 2024

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

November 12, 2024

First Submitted That Met QC Criteria

November 12, 2024

First Posted (Actual)

November 14, 2024

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 28, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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