HEARTWISE-ASCVD: AI-Detected CAC Notification for Cholesterol Treatment
This study, called HEARTWISE-ASCVD, is testing if using artificial intelligence (AI) to find calcium buildup in heart arteries (Coronary Artery Calcification or CAC) on existing chest CT scans can help improve cholesterol treatment. If the AI detects significant calcium, your doctor and you would receive a notification. The study aims to see if this leads to starting or increasing cholesterol-lowering medicines. You might be able to join if you are between 18 and 74 years old, have had a chest CT scan in the last two years, and have either known atherosclerotic cardiovascular disease (ASCVD) or significant calcium buildup with uncontrolled cholesterol. The study's main goal is to see if more people start or intensify their cholesterol-lowering therapy within 6 months.
- Study design
- This is an interventional study with a planned enrollment of 120,000 participants. Participants will be randomized, meaning they are assigned by chance, to receive either early notification or a delayed notification about their AI-detected CAC.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The main outcome of the study, starting or intensifying cholesterol-lowering therapy, will be measured 6 months after you are randomized.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Health Enhanced Artery Risk Tracking With Widespread Implementation and Screening Effort in ASCVD (HEARTWISE-ASCVD)
At a glance
Conditions
Where it's being run
6 sites across 4 statesStudy leadership
- Fatima Rodriguez, MD, MPH · PRINCIPAL_INVESTIGATOR · Stanford University
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Lipid-lowering therapy initiation or intensification (LLTI)6 months after participant randomization
* Number of new statin prescriptions * Number of statin doses/intensity increase * Number of PSCK9 inhibitor initiation (monoclonal antibodies and siRNA) * Number of Ezetimibe initiations * Number of Bempedoic acid initiations