Study of AI-Enabled SMART-CHD System to Improve Outcomes in Adults 18 to 45 With Premature Coronary Heart Disease

What this Trial Is About

Researchers are evaluating an AI-enabled stratified management system called SMART-CHD for adults aged 18 to 45 with premature coronary artery disease. The study aims to see if this AI-driven platform can reduce the combined rate of death, heart attack, stroke, and rehospitalization within 12 months compared with standard discharge care. It also seeks to determine if SMART-CHD better controls modifiable risk factors than usual care. Participants in the intervention group will use the SMART-CHD mobile app after a 10-minute orientation session. They will complete regular surveys on lifestyle, lab results, and clinical events using app features assisted by AI. They will also wear paired sensors for continuous monitoring of blood pressure, heart rate, and other vital signs. The system includes automated electronic health record data harvesting, AI voice-call reminders, and real-time support through a dedicated WeChat group. The app provides personalized, guideline-based recommendations on diet, exercise, sleep, weight, smoking, alcohol use, blood pressure, cholesterol, and diabetes management. The control group will receive usual discharge care with verbal and printed instructions. During the 12-month study, participants will be monitored for cardiovascular events such as death, myocardial infarction, stroke, and rehospitalization. Researchers will assess risk factor control by measuring LDL cholesterol, blood pressure, hemoglobin A1c, smoking status, and medication adherence to antiplatelet agents and statins. Data collection includes continuous sensor monitoring, in-app surveys, and automated reminders. The study will also evaluate goal attainment for blood pressure and cholesterol levels. Safety and clinical outcomes will be tracked throughout the follow-up period.

Effectiveness of an AI-Enabled Stratified Management System for Premature Coronary Artery Disease