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

Lancaster General Hospital150 enrolled

Overview

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.

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

Allocation

Purpose

SCREENING

Masking

NONE

Enrollment

150

Conditions

Dilated Cardiomyopathy Heart Failure Heart Disease

Interventions

Mobile 6L AI-EKG ScreeningDEVICE

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.

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Lancaster General Hospital

Lancaster, Pennsylvania, United States

RECRUITING

Outcomes

Primary Outcomes

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.

The number of consented FDR who successfully undergo AI-EKG and subsequent recommended cardiac follow up.

Time frame: Assessed for a minimum of 3 months post enrollment up to 6 months post enrollment.

Secondary Outcomes

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.

Central Contacts

Halle Becker, MPH

CONTACT

717-544-1777 Halle.Becker@pennmedicine.upenn.edu

Jonathan Derr, MBA

CONTACT

717-544-1777 Jonathan.Derr@pennmedicine.upenn.edu

Data from ClinicalTrials.gov

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