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

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.

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