Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study

Launched by YALE UNIVERSITY · Dec 19, 2024

Keywords

ClinConnect Summary

The DETECT-AS Diagnostic Study is a research trial that is looking at how well artificial intelligence (AI) can help detect aortic stenosis, a condition where the heart's aortic valve narrows and makes it harder for the heart to pump blood. The study will use results from simple tests like portable electrocardiograms (ECGs) and cardiac ultrasounds to see if AI can predict the risk of this condition more accurately.

To be eligible for the study, participants need to be at least 70 years old and have a routine visit at one of the clinics involved in the study. However, individuals who have recently had certain heart procedures, have specific heart devices, or have serious health issues like dementia or a life expectancy of less than a year won't be able to participate. If you join the study, you can expect to undergo some easy tests and contribute to important research that might improve how doctors detect aortic stenosis in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age 70 years or older
• • Attending a routine outpatient primary care clinic at one of the three enrollment sites
• Exclusion Criteria:
• • Opted out of research studies
• • Non-English speaking
• • Urgent or emergent visits, defined as a visit for an illness or injury that needs attention quickly or is life-threatening
• • Any echocardiogram within 12 months of clinic visit
• • Prior history of moderate or severe AS
• • 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
• • Documented life expectancy of \<1 year or current participation in hospice services.