ACUTE CORONARY SYNDROMES

This study tests whether giving a triple combination of cholesterol-lowering drugs (a high-intensity statin, ezetimibe, and bempedoic acid) right after a heart attack works better than usual care. About 600 adults hospitalized for a heart attack will be randomly assigned to the t…

This study tests whether a patient education app can improve awareness and help people who have had a heart attack reach their LDL cholesterol targets. About 240 patients across 24 hospitals will be split into two groups: one gets the app plus usual care, the other gets usual car…

This study compares two blood thinners, bivalirudin and heparin, used during a heart procedure called PCI in people with acute coronary syndrome who are at high risk of bleeding. About 5,270 participants will be randomly assigned to receive one of the two drugs. The goal is to se…

This study tests whether adding visits with a nurse, dietitian, and pharmacist to standard care helps more heart attack patients reach their LDL (bad) cholesterol goals. About 230 adults who had a recent heart attack will be randomly assigned to usual follow-up or extra team-base…

This study tests whether a simple, 1-minute electrocardiogram (ECG) analyzed by artificial intelligence can accurately detect significant blockages in the heart's arteries. Researchers will compare the AI's predictions against standard imaging tests in 400 adults. If successful, …

This study looks at whether having non-medical teams (like firefighters or ambulance crews) do an ECG for suspected heart attacks delays care compared to doctor-staffed teams. Researchers will review records of 350 adults who called emergency services for a heart attack between 2…

This study will observe 500 adults with stable or acute heart artery disease who receive a laser treatment called Excimer Laser Coronary Atherectomy (ELCA) during a standard procedure to open blocked arteries. The goal is to track how well the laser works and how safe it is by re…

This study develops and tests an AI system that reads de-identified patient admission notes to classify four types of coronary syndromes, including heart attacks and angina. The tool is designed to protect patient privacy while helping doctors diagnose more accurately and quickly…