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

Part of paid clinical trials in New Haven, Connecticut.

Sponsor
Yale University
Study ID
NCT06749132
Status
Enrolling By Invitation

Conditions

  • Aortic Stenosis

Eligibility Criteria

Sex
ALL
Age
65 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Transthoracic echocardiogram — DIAGNOSTIC_TEST
    All study participants will undergo a clinical transthoracic echocardiogram (TTE) performed by certified echocardiography technicians. The TTE includes standard transthoracic examination with acquisition of B-mode, color and spectral Doppler images and videos in line with standard echocardiographic guidelines.

Study Details

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.

Key Dates

Start date
May 6, 2026
Status verified
May 2026
Primary completion
Aug 31, 2028
Completion
Aug 31, 2028

Study Design

Enrollment
210 participants (estimated)

Primary Outcome Measure

Annualized change in AV Vmax in m/sec/years [ Time Frame: From baseline TTE to TTE performed at enrollment ]

Locations (3)

FacilityCityStateZIPSite coordinators
Yale New Haven Health SystemNew HavenConnecticut06519-
Icahn School of Medicine at Mount SinaiNew YorkNew York10029-
The Methodist Hospital Research InstituteHoustonTexas77030-

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