A Prospective Lifespan Cohort Study of Myocardial Infarction for Building an Integrated Multidimensional Database and Developing an Artificial Intelligence- and Multi-omics-Driven Precision Prevention and Control System

This prospective cohort study aims to establish a lifespan cohort of myocardial infarction and build a standardized, multidimensional, and shareable disease-specific database by systematically integrating clinical phenotypes, multi-omics data, and longitudinal follow-up information. Based on artificial intelligence and multi-omics integration, the study further seeks to develop a precision prevention and control framework for acute myocardial infarction covering the full continuum from early risk warning and accurate diagnosis to individualized treatment and long-term risk management. The study will enroll adults aged 18 to 74 years, including two major populations: individuals at high risk of acute myocardial infarction, such as those with stable or unstable angina, and patients with confirmed acute myocardial infarction diagnosed according to the Fourth Universal Definition of Myocardial Infarction. Biospecimens, including venous blood, urine, and feces, will be collected, and participants will undergo standardized baseline assessment and follow-up. The primary outcome is all-cause mortality during follow-up. Secondary outcomes include cardiovascular death, recurrent myocardial infarction, readmission due to heart failure, revascularization, stroke, stent thrombosis, and severe bleeding. This study is expected to provide scientific evidence and technical support for precision prevention, diagnosis, treatment, and long-term management of myocardial infarction.