Low Ejection Fraction in Single Lead ECG- Oschsner

Sponsor
Eko Devices, Inc. (Industry)
Overall Status
Recruiting
CT.gov ID
NCT05010642
Collaborator
(none)
500
1
5.4
92.8

Study Details

Study Description

Brief Summary

The purpose of this research is to prospectively test and validate the single-lead Low EF algorithm in outpatients in order to test the performance of a single-lead ECG based algorithm to identify people with decreased left ventricular EF.

Condition or Disease Intervention/Treatment Phase
  • Device: Use of Eko DUO electronic Stethoscope

Detailed Description

Heart failure with reduced left ventricular ejection fraction (EF) is a relatively common cardiac pathology with major clinical implications. People with reduced left ventricular EF are at increased risk for sudden death, ventricular and atrial arrhythmias, and acute hemodynamic decompensation due to heart failure. There are proven medical interventions that prevent sudden cardiac death and complications in people with decreased left ventricular EF. Unfortunately, some people with decreased left ventricular EF are asymptomatic, or have non-specific symptoms like dyspnea, and would not receive those interventions in a timely manner. Currently, there are no effective ways to screen for asymptomatic decreased left ventricular EF in the population, because detection of low EF requires the use of echocardiography. There is a significant need to identify novel technologies that can help to detect people with decreased left ventricular EF in a simple, effective, and reliable manner.

Eko Devices features a cloud-based platform of point-of-care cardiac screening devices and machine learning algorithms that enables more effective detection and management of cardiovascular disease. In this study, we will use the Eko DUO device to collect single-lead ECG data.

The Eko DUO is an FDA-cleared and CE-marked electronic stethoscope that allows audio recording of heart sound to produce a phonocardiogram (PCG) as well as recording a single-lead electrocardiogram (ECG). The DUO features 60x audio amplification, ambient noise reduction, a 4000Hz sample rate, and 4 audio filters. The ECG component is made up of 2 stainless steel electrodes, 0.01Hz high-pass filter, selectable 50/60Hz mains filter, and a 500Hz sample rate. The de-identified auscultatory DUO recordings transmit wirelessly via Bluetooth to the secure, HIPAA-compliant Eko application on a smartphone or tablet, which allows the user to playback heart sound recordings, annotate notes on recorded audio, and save recordings. This data is synced in real-time to a secure, HIPAA-compliant, cloud-based Amazon Web Services (AWS) database server managed by Eko Devices.

It has been previously demonstrated that artificial intelligence processing information from a 12-lead ECG can help to identify people with decreased left ventricular EF1. Using paired 12-lead ECG and echocardiogram data, including the left ventricular ejection fraction, from 44,959 patients at the Mayo Clinic, a convolutional neural was trained to identify patients with low ejection fraction. When tested on an independent set of 52,870 patients, the model showed an Area Under the Curve ("AUC") of 0.93 and an accuracy of 86%. We have also developed a single-lead version of the same algorithm, which will be more easily accessible in a clinical setting since it can be used with a single-lead ECG device like the Eko DUO device. We propose to validate performance of this new model using the current study.

Study Design

Study Type:
Observational
Anticipated Enrollment :
500 participants
Observational Model:
Cohort
Time Perspective:
Cross-Sectional
Official Title:
Detection of Reduced Left Ventricular Ejection Fraction and Atrial Arrhythmias With Single Lead ECG Using Artificial Intelligence
Actual Study Start Date :
Aug 19, 2021
Anticipated Primary Completion Date :
Jan 30, 2022
Anticipated Study Completion Date :
Jan 30, 2022

Outcome Measures

Primary Outcome Measures

  1. Single-lead ECG based algorithm development [Within two minutes of device use]

    Evaluate performance of single-lead ECG based algorithm to identify individuals with reduced ejection fraction.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • English-speaking adults who are 18 years and older

  • Able and willing to provide informed consent

  • Complete a clinical echocardiogram within 7 days before or after study procedures

Exclusion Criteria:
  • Unwilling or unable to provide informed consent

  • Patients who are hospitalized

Contacts and Locations

Locations

Site City State Country Postal Code
1 Ochsner Heart and vascular Institute New Orleans Louisiana United States 70121

Sponsors and Collaborators

  • Eko Devices, Inc.

Investigators

  • Principal Investigator: Salima Qamruddin, MD, Ochsner Heart and Vascular Institute

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Eko Devices, Inc.
ClinicalTrials.gov Identifier:
NCT05010642
Other Study ID Numbers:
  • 2021.4
First Posted:
Aug 18, 2021
Last Update Posted:
Sep 10, 2021
Last Verified:
Sep 1, 2021
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Sep 10, 2021