Optimising a Digital Diagnostic Pathway for Heart Failure in the Community

NCT04724200 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 867

Last updated 2024-03-28

No results posted yet for this study

Summary

This is a prospective, observational study. The primary aim is to assess the diagnostic accuracy of Artificial Intelligence (AI) analysis of Point of Care (POC) handheld transthoracic echocardiogram images (POC handheld echocardiogram) compared to the current gold-standard of transthoracic echocardiogram images acquired and analysed by a British Society of Echocardiography (BSE) accredited operator, using a standard echocardiogram machine (standard TTE), for the diagnosis of Heart Failure with reduced Ejection Fraction (HFrEF), in patients referred from the community for investigation of suspected new Heart Failure (HF).

Conditions

Interventions

DIAGNOSTIC_TEST

Echocardiogram

Echocardiography plays a crucial role in the diagnosis of HF; it is the standard of care imaging modality used to confirm the diagnosis, it permits real-time imaging of the heart and quantitative assessment of cardiac structure and function, crucial for diagnosis.

Sponsors & Collaborators

  • University of Glasgow

    collaborator OTHER
  • NHS Greater Glasgow and Clyde

    lead OTHER

Principal Investigators

  • Clare Murphy · NHS Greater Glasgow and Clyde

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-05
Primary Completion
2021-08-27
Completion
2023-12-31

Countries

  • United Kingdom

Study Locations

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Entities

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 NCT04724200 on ClinicalTrials.gov