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Trial details imported from ClinicalTrials.gov
For full trial details, please see the original record at
https://clinicaltrials.gov/study/NCT05558605
Registration number
NCT05558605
Ethics application status
Date submitted
11/09/2022
Date registered
28/09/2022
Titles & IDs
Public title
Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment
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Scientific title
Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment
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Secondary ID [1]
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325-22
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Universal Trial Number (UTN)
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Trial acronym
AGILE-Echo
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Heart Failure
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Valve Heart Disease
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Condition category
Condition code
Cardiovascular
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Coronary heart disease
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Cardiovascular
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0
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Other cardiovascular diseases
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Diagnosis / Prognosis - AI-guided echo
Diagnosis / Prognosis - Standard echo
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.
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.
Diagnosis / Prognosis: AI-guided echo
AI-guided echocardiography
Diagnosis / Prognosis: Standard echo
Standard echocardiography
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Intervention code [1]
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Diagnosis / Prognosis
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Comparator / control treatment
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Control group
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Outcomes
Primary outcome [1]
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Diagnosis of cardiac dysfunction or heart valve disease
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Assessment method [1]
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Number of Participants with Diagnosis of cardiac dysfunction or heart valve disease
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Timepoint [1]
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12 months
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Eligibility
Key inclusion criteria
* Age >45 years
* eligible for Medicare
* exercise intolerance or cardiovascular (CV) risk factors
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Minimum age
45
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key 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
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Study design
Purpose of the study
Diagnosis
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people assessing the outcomes
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Intervention assignment
Parallel
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Other design features
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Phase
NA
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Recruiting
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Data analysis
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Reason for early stopping/withdrawal
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Other reasons
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Date of first participant enrolment
Anticipated
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Actual
24/02/2023
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Date of last participant enrolment
Anticipated
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Actual
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Date of last data collection
Anticipated
30/12/2025
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Actual
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Sample size
Target
612
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
NT
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Recruitment hospital [1]
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Alice Springs Hospital - Alice Springs
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Recruitment postcode(s) [1]
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- Alice Springs
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Funding & Sponsors
Primary sponsor type
Other
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Name
Baker Heart and Diabetes Institute
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Address
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Country
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Other collaborator category [1]
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Other
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Name [1]
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Alice Springs Hospital
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Address [1]
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0
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Country [1]
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Other collaborator category [2]
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Other
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Name [2]
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Princess Alexandra Hospital, Brisbane, Australia
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Address [2]
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0
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Country [2]
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0
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Other collaborator category [3]
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Other
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Name [3]
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Royal Perth Hospital
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Address [3]
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0
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Country [3]
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0
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Other collaborator category [4]
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Other
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Name [4]
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Ochre Health
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Address [4]
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0
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Country [4]
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0
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Other collaborator category [5]
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Other
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Name [5]
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Walgett Aboriginal Medical Services
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Address [5]
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0
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Country [5]
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0
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Other collaborator category [6]
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Other
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Name [6]
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Merriden Health Service
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Address [6]
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0
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Country [6]
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0
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Other collaborator category [7]
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Government body
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Name [7]
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Royal Hobart Hospital
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Address [7]
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Country [7]
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Ethics approval
Ethics application status
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Summary
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.
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Trial website
https://clinicaltrials.gov/study/NCT05558605
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Tom Marwick, MBBS, PhD
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Address
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Baker Heart and Diabetes Institute
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Country
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Phone
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Fax
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Email
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Contact person for public queries
Name
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Tom Marwick, MBBS, PhD
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Address
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Country
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Phone
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+61385321550
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Type
Other Details
Attachment
Study protocol
Study Protocol and Statistical Analysis Plan
https://cdn.clinicaltrials.gov/large-docs/05/NCT05558605/Prot_SAP_000.pdf
Statistical analysis plan
Study Protocol and Statistical Analysis Plan
https://cdn.clinicaltrials.gov/large-docs/05/NCT05558605/Prot_SAP_000.pdf
Informed consent form
https://cdn.clinicaltrials.gov/large-docs/05/NCT05558605/ICF_001.pdf
Results publications and other study-related documents
No documents have been uploaded by study researchers.
Results not provided in
https://clinicaltrials.gov/study/NCT05558605