Prospective Study of the Diagnostic Accuracy of a Smartphone Application to PREDICT Real-Time Cardiovascular Risk for Heart Attack and Stroke (PREDICT-HS)
Stanford University
Summary
To assess the diagnostic accuracy of a smartphone application in predicting heart attack or stroke within 3-4 days in high-risk patients.
Eligibility
- Age range
- 40–79 years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: 1. Be able to provide electronic or written informed consent and be able to effectively communicate and understand the study procedures, risks, and required activities. 2. Age 40 to 79 years. 3. Be willing to wear a smartwatch continuously for 18 months and comfortable with using wearable devices or other technologies that monitor their data over time. 4. Established ASCVD or at an increased risk for a first MACE (i.e., no prior major ASCVD event), defined as anyone of the following: i) Evidence of atherosclerotic CAD on CT or invasive coronary angiogram defined as a coro…
Interventions
- DeviceSmartphone application Antshrike
All participants will wear a smart watch that has an application Antshrike, which will collect demographic data, health history, lifestyle factors, and biobehavioral data for 18 months.
Location
- Stanford UniversityStanford, California