DUO-EF-19: Point of Care Artificial Intelligence Tool for Heart Failure Diagnosis

Sponsor
Imperial College London (Other)
Overall Status
Recruiting
CT.gov ID
NCT04601415
Collaborator
(none)
1,500
1
19.9
75.2

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: ECG from handheld device

Detailed Description

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

AIMS

To demonstrate DUO-EF can identify heart failure (HF) with reduced ejection fraction (HFrEF) post-COVID-19 where diagnosis would otherwise be missed/delayed To demonstrate DUO-EF can reliably and accurately diagnose new HFrEF in the primary care setting To further validate DUO-EF diagnostic performance at-scale against gold-standard investigations (echocardiography and cardia MRI) To measure if DUO-EF suggestive of HFrEF but with normal gold standard investigations predicts future risk of developing HFrEF

Methods To demonstrate DUO-EF can identify heart failure (HF) with reduced ejection fraction (HFrEF) post-COVID-19 where diagnosis would otherwise be missed/delayed To demonstrate DUO-EF can reliably and accurately diagnose new HFrEF in the primary care setting To further validate DUO-EF diagnostic performance at-scale against gold-standard investigations (echocardiography and cardiac magnetic resonance imaging - cMRI) To measure if DUO-EF suggestive of HFrEF but with normal gold standard investigations predicts future risk of developing HFrEF

DUO-EF prediction of ejection fraction in patients attending COVID-19 follow up clinic and comparison with:

subsequent DUO-EF at time of gold-standard investigation for HF ejection fraction as calculated by gold-standard investigation

DUO-EF prediction of ejection fraction in patients where their GP suspects new heart failure and comparison with:

subsequent DUO-EF at time of gold-standard investigation ejection fraction as calculated by gold-standard investigation DUO-EF prediction of ejection fraction in unselected patients attending for echocardiography or cardiac MRI, comparing DUO-EF predicted with gold-standard calculated ejection fraction Telephone call follow-up at 24 months for all patients with DUO-EF suggestive of HFrEF but normal gold standard investigations

OUTCOME MEASURES Area under curve (AUC) of DUO-EF calibrated for detection of EF below 40%; classification accuracy Positive predictive value of DUO-EF in COVID-19 clinic and GP context based on subsequent gold-standard estimation of EF; negative predictive value of DUO-EF in COVID-19 follow up cohort; positive predictive value of DUO-EF at 24 months in those with negative gold standard investigations Qualitative measurement of patient and clinical end user acceptability of Eko DUO

POPULATION Group 1: Patients seen in the COVID-19 follow-up clinic (n = 400) Group 2:

Patients seen in primary care with symptoms newly suggestive of heart failure (n = 400) Group 3: All-comers to echocardiography departments across Imperial College Healthcare NHS Trust (n = 1,500) Group 4: patients undergoing cardiac MRI investigation (n = 100)

Study Design

Study Type:
Observational
Anticipated Enrollment :
1500 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Diagnosis of Heart Failure in the Post-COVID-19 Clinic, Primary Care and Hospital Setting Using a Digital Stethoscope With Artificial Intelligence (AI) Electrocardiogram (ECG)
Actual Study Start Date :
Feb 1, 2021
Anticipated Primary Completion Date :
Oct 1, 2022
Anticipated Study Completion Date :
Oct 1, 2022

Arms and Interventions

Arm Intervention/Treatment
GP Referrals

Patients with HF referred by GP to echo department

Diagnostic Test: ECG from handheld device
Acquisition of a single-lead ECG at time of presentation to GP and at echo appointment

Echo patients

Non-selected patients attending echo department in hospital

Diagnostic Test: ECG from handheld device
Acquisition of a single-lead ECG at time of presentation to GP and at echo appointment

Outcome Measures

Primary Outcome Measures

  1. Area under receiver operating curve [up to 18 months]

    Area under curve (AUC) where maximum value is '1', describing ability of algorithm to discriminate low from not-low ejection fraction

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  • Attendance at GP with ?HF symptoms

  • Referral from GP or elsewhere for echocardiogram in hospital

  • Age >18

Exclusion Criteria:
  • Unable to give informed consent

Contacts and Locations

Locations

Site City State Country Postal Code
1 Patrik Bachtiger London Non-US/Non-Canadian United Kingdom E5 0LJ

Sponsors and Collaborators

  • Imperial College London

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

Responsible Party:
Imperial College London
ClinicalTrials.gov Identifier:
NCT04601415
Other Study ID Numbers:
  • 285417
First Posted:
Oct 23, 2020
Last Update Posted:
May 20, 2021
Last Verified:
May 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:
Yes
Product Manufactured in and Exported from the U.S.:
Yes
Additional relevant MeSH terms:

Study Results

No Results Posted as of May 20, 2021