NCT04963218

Brief Summary

This is a multi-site, retrospective study to evaluate the performance of a locked AI-based algorithm for detection of left ventricular systolic dysfunction. A prerequisite for inclusion of subjects from each institution will be the availability of at least one digital 12-lead ECG paired with an echocardiogram with LVEF information within 30 days of the date of the ECG. The AI-ECG LVSD algorithm will be applied on all ECGs and diagnostic performance features for the detection of LVSD will be estimated using the provided paired LVEF value (Low LVEF as the reference label). Performance will also be assessed in subgroups of subjects determined by demographic and clinical factors.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
16,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2021

Shorter than P25 for all trials

Geographic Reach
1 country

4 active sites

Status
completed

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

July 1, 2021

Completed
14 days until next milestone

First Posted

Study publicly available on registry

July 15, 2021

Completed
2 months until next milestone

Study Start

First participant enrolled

August 30, 2021

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 13, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 13, 2022

Completed
Last Updated

July 13, 2022

Status Verified

July 1, 2022

Enrollment Period

8 months

First QC Date

July 1, 2021

Last Update Submit

July 11, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Established Diagnostic Performance

    Number of participants with presence of EF less than of equal to 40% identified by 12-lead AI ECG algorithm

    1 month

Interventions

A clinical decision support software as a medical device that detects whether a patient has LVEF less than or equal to 40% based upon the input of one or more ECG vectors at the point-of-care.

Eligibility Criteria

Age18 Years - 99 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Adult subjects with or without known cardiac disease who are either inpatients or outpatients with ECGs and an echocardiogram within 30-days of the ECG date.

You may qualify if:

  • \- Adult subjects with or without known cardiac disease who are either inpatients or outpatients with ECGs and an echocardiogram within 30-days of the ECG date.

You may not qualify if:

  • No research authorization provided
  • An ECG signal shorter than 10 seconds or that is not interpretable
  • An echocardiogram is considered technically challenging
  • Only qualitative interpretation of left ventricular systolic function available (i.e., "decreased EF") without a numerical value.
  • A paced rhythm

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Beth Israel Deacon Medical Center

Boston, Massachusetts, 02215, United States

Location

Montefiore Medical Center

The Bronx, New York, 10467, United States

Location

Monument Health

Rapid City, South Dakota, 57701, United States

Location

University of Utah

Salt Lake City, Utah, 84132, United States

Location

Related Links

MeSH Terms

Conditions

Heart Diseases

Interventions

Electrocardiography

Condition Hierarchy (Ancestors)

Cardiovascular Diseases

Intervention Hierarchy (Ancestors)

Heart Function TestsDiagnostic Techniques, CardiovascularDiagnostic Techniques and ProceduresDiagnosisElectrodiagnosis

Study Officials

  • Peter Noseworthy, MD

    Mayo Clinic

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor of Medicine

Study Record Dates

First Submitted

July 1, 2021

First Posted

July 15, 2021

Study Start

August 30, 2021

Primary Completion

April 13, 2022

Study Completion

April 13, 2022

Last Updated

July 13, 2022

Record last verified: 2022-07

Data Sharing

IPD Sharing
Will not share

Locations