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Clinical Trials/NCT04000087
NCT04000087CompletedNot Applicable

Electrocardiogram Artificial Intelligence-Guided Screening for Low Ejection Fraction (EAGLE)

Mayo Clinic2 sites in 1 country358 target enrollmentStarted: June 26, 2019Last updated:
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Conditions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
358
Locations
2
Primary Endpoint
New Diagnosis of Low Ejection Fraction (defined as ejection fraction ≤50%)
Study OverviewStudy DesignEligibility CriteriaOutcomesInvestigatorsSitesRecords & IdentifiersSimilar Trials

Study Overview

Brief Summary

This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.

Study Design

Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel
Primary Purpose
Screening
Masking
None

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •Primary care clinicians who are part of a participating care team that care for adult patients and have the ability to order ECG and TTE (this includes physicians, nurse practitioners, and physician assistants).

Exclusion Criteria

  • •Primary care clinicians working in pediatrics, acute care, nursing homes, and resident care teams.

Outcomes

Primary Outcomes

New Diagnosis of Low Ejection Fraction (defined as ejection fraction ≤50%)

Time Frame: Within 90 days

Ejection fraction obtained by echocardiography.

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Xiaoxi Yao

Principal Investigator

Mayo Clinic

Study Sites (2)

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