UnknownNCT06749132

Deep Learning-enhanced Personalized Monitoring of Aortic Stenosis - The DETECT-AS Prognostic Study

Sponsor: Yale University

Trial Details

ConditionAortic Stenosis
InterventionTransthoracic echocardiogram
StatusUnknown
Participants210
Est. Completion31 Aug 2028
Last Updated8 May 2026

Primary Outcome

Annualized change in AV Vmax in m/sec/years

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: 1. Age 65 years or older 2. Prior transthoracic echocardiogram within the past 2-3 years showing aortic sclerosis without stenosis or mild AS Exclusion Criteria: 1. Opted out of research studies 2. Non-English speaking 3. Any echocardiogram within 24 months of medical record review. 4. Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve 5. Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device 6. Prior heart transplant 7. History of dementia 8. Unable to attend study visit at echocardiogram lab within four years of most recent echocardiogram. 9. Documented life expectancy of \<1 year or current participation in hospice services

Trial Sites

Countries

United States
View Registry Entry

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