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Point of Care Artificial Intelligence Tool for Heart Failure Diagnosis

NCT04601415 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1050

Last updated 2023-10-11

No results posted yet for this study

Summary

Abbreviations/acronyms:

DUO-EF = prediction of ejection fraction (EF) using the Eko-DUO digital stethoscope algorithm HF = heart failure HFrEF = heart failure with reduced ejection fraction COVID-19 = coronavirus disease 2019 Eko DUO = digital stethoscope device cMRI = cardiac magnetic resonance imaging ECG = electrocardiogram

Prospective observational study of left ventricular ejection fraction predicted by application of artificial intelligence to single-lead ECG acquired by a digital stethoscope; in the post-covid-19 follow up clinic, in patients presenting with heart failure symptoms in primary care, and in patients attending for echocardiography and cardiac MRI.

Conditions

Interventions

DIAGNOSTIC_TEST

ECG from handheld device

Acquisition of a single-lead ECG at time of presentation to GP and at echo appointment

Sponsors & Collaborators

  • Imperial College London

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-02-06
Primary Completion
2021-05-27
Completion
2021-05-27
FDA Device
Yes

Countries

  • United Kingdom

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04601415 on ClinicalTrials.gov