By InvitationNot Applicable

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

United States210 participantsStarted 2026-05-06

Plain-language summary

This study will evaluate the validity of a digital biomarker score for precision risk stratification among older adults with aortic sclerosis or mild aortic stenosis (AS) at three US health systems.

Who can participate

Age range65 Years

SexALL

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Inclusion criteria

✓. Age 65 years or older
✓. Prior transthoracic echocardiogram within the past 2-3 years showing aortic sclerosis without stenosis or mild AS

Exclusion criteria

✕. Opted out of research studies
✕. Non-English speaking
✕. Any echocardiogram within 24 months of medical record review.
✕. Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve
✕. Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device
✕. Prior heart transplant
✕. History of dementia
✕. Unable to attend study visit at echocardiogram lab within four years of most recent echocardiogram.

What they're measuring

Annualized change in AV Vmax in m/sec/years

Timeframe: From baseline TTE to TTE performed at enrollment

Trial details

NCT IDNCT06749132

SponsorYale University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2028-08-31

View on ClinicalTrials.gov More Aortic Stenosis trials