AGILE-Echo: Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment

Sponsor
Baker Heart and Diabetes Institute (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05558605
Collaborator
Alice Springs Hospital (Other), Princess Alexandra Hospital, Brisbane, Australia (Other), Royal Perth Hospital (Other), Nepean Blue Mountains Local Health District (Other), Ochre Health (Other)
612
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34.7

Study Details

Study Description

Brief Summary

Heart Failure and valvular heart disease are disproportionate problems in rural and remote Australia (RRA). Echocardiography is the best imaging investigation, and essential for management, but access to this essential test shows huge geographic variations, primarily because of dependence on expert acquisition. This trial seeks to demonstrate the effectiveness of artificial intelligence-based echocardiography for triage and management of patients with known or suspected heart disease in RRA.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: AI-guided echo
  • Diagnostic Test: Standard echo
N/A

Detailed Description

Heart Failure (HF) and valvular heart disease (VHD) are disproportionate problems in rural and remote Australia (RRA) relative to the rest of the country, due in part to an ageing rural population and to the frequency of rheumatic heart disease in the Aboriginal community. Late diagnoses can lead to avoidable hospital admissions and expense to the Australian health system. Echocardiography is the imaging investigation of choice, and a cornerstone of management, but access to this essential test shows huge geographic variations in Australia. The primary reason for this is the dependence of this technique on expert acquisition. Artificial intelligence (AI) has now been harnessed to optimise echocardiographic image acquisition, and secure, cloud-based storage enables remote measurement and interpretation. This trial seeks to demonstrate the effectiveness of AI-based echocardiography-guided triage and management of patients with known or suspected heart disease in RRA. This study will involve the conduct of a world-first randomised controlled trial of AI-testing and early intervention to detect early stages of HF and VHD, select appropriate management, reduce admissions and preserve functional status and quality of life. The study will be conducted with partipants in RRA, aged 40 years and older with at least one HF risk factor and recruited through clinic and community outreach in four sites with the involvement of remote outreach from i) Alice Springs Hospitals, ii) Nepean Hospital to Dubbo Hospital and Western NSW, iii) Princess Alexandra Hospital to Roma, Charleville and Western Queensland, and iv) Perth Aboriginal communities in partnership with the Royal Perth hospital and the Derbarl Yerrigan Health Service. Approximately 1200 individuals at risk for HF and VHD will be screened and followed up. The study will be conducted in partnership with Aboriginal community partners.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
612 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Intervention Model Description:
Multicentre RCT comparing AI-TTE with usual careMulticentre RCT comparing AI-TTE with usual care
Masking:
Single (Outcomes Assessor)
Masking Description:
PROBE design
Primary Purpose:
Diagnostic
Official Title:
Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment
Anticipated Study Start Date :
Feb 7, 2023
Anticipated Primary Completion Date :
Dec 30, 2025
Anticipated Study Completion Date :
Dec 30, 2025

Arms and Interventions

Arm Intervention/Treatment
Experimental: Screening/Management Plan

AI-guided echo acquisition performed using a desktop echo machine (uSmart 3300, Terason, Burlington, MA) with AI software (Caption Health, Brisbane, CA) obtained by a non-expert (eg. clinic nurse, registrar general practitioner or physician) at the remote clinic, usually on the day of clinic review. Images will then be uploaded onto a secure cloud and downloaded at the core lab for measurement, interpretation and reporting.

Diagnostic Test: AI-guided echo
AI-guided echocardiography

Active Comparator: Usual care

Standard echo acquisition by a sonographer either at a referral hospital, or by a visiting team - usually necessitating a delay. Measurement, interpretation and reporting will happen as usual.

Diagnostic Test: Standard echo
Standard echocardiography

Outcome Measures

Primary Outcome Measures

  1. Diagnosis of cardiac dysfunction or heart valve disease [12 months]

    Number of Participants with Diagnosis of cardiac dysfunction or heart valve disease

Eligibility Criteria

Criteria

Ages Eligible for Study:
45 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Age >45 years

  • eligible for Medicare

  • exercise intolerance or cardiovascular (CV) risk factors

Exclusion Criteria:
  • Known HF or HVD

  • situations where cardio-protection is already indicated (eg. known CAD)

  • comorbid conditions with life expectancy <2 years

  • inability to provide written informed consent

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Baker Heart and Diabetes Institute
  • Alice Springs Hospital
  • Princess Alexandra Hospital, Brisbane, Australia
  • Royal Perth Hospital
  • Nepean Blue Mountains Local Health District
  • Ochre Health

Investigators

  • Principal Investigator: Tom Marwick, MBBS, PhD, Baker Heart and Diabetes Institute

Study Documents (Full-Text)

More Information

Publications

None provided.
Responsible Party:
Baker Heart and Diabetes Institute
ClinicalTrials.gov Identifier:
NCT05558605
Other Study ID Numbers:
  • 325-22
First Posted:
Sep 28, 2022
Last Update Posted:
Feb 2, 2023
Last Verified:
Dec 1, 2022
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
Keywords provided by Baker Heart and Diabetes Institute
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 2, 2023