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

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

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06749132
Enrollment
210
Registered
2024-12-27
Start date
2026-04-01
Completion date
2028-08-31
Last updated
2026-02-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aortic Stenosis

Keywords

aortic stenosis, artificial intelligence

Brief 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.

Interventions

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.

Sponsors

Yale University
Lead SponsorOTHER
National Institute on Aging (NIA)
CollaboratorNIH
Icahn School of Medicine at Mount Sinai
CollaboratorOTHER
The Methodist Hospital Research Institute
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Annualized change in AV Vmax in m/sec/yearsFrom baseline TTE to TTE performed at enrollmentThe primary outcome measure is the annualized change in AV Vmax in m/sec/years, defined as the absolute difference between the value on the enrollment and baseline echocardiogram measurement, divided by the time difference between the studies.

Countries

United States

Contacts

CONTACTRohan Khera, MD, MS
rohan.khera@yale.edu203-764-5885
PRINCIPAL_INVESTIGATORRohan Khera, MD, MS

Yale University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 7, 2026