Premature Coronary Heart Disease

VT-10201 is an Open-label, Phase 1b, Single-ascending Dose Study That Will Evaluate the Safety of VERVE-102 Administered to Patients With Heterozygous Familial Hypercholesterolemia (HeFH) or Premature Coronary Artery Disease (CAD) Who Require Additional Lowering of LDL-C. VERVE-102 Uses Base-editing Technology Designed to Disrupt the Expression of the PCSK9 Gene in the Liver and Lower Circulating PCSK9 and LDL-C. This Study is Designed to Determine the Safety and Pharmacodynamic Profile of VERVE-102 in This Patient Population.

VT-10201 is an Open-label, Phase 1b, Single-ascending Dose Study That Will Evaluate the Safety of VERVE-102 Administered to Patients With Heterozygous Familial Hypercholesterolemia (HeFH) or Premature Coronary Artery Disease (CAD) Who Require Additional Lowering of LDL-C. VERVE-102 Uses Base-editing Technology Designed to Disrupt the Expression of the PCSK9 Gene in the Liver and Lower Circulating PCSK9 and LDL-C. This Study is Designed to Determine the Safety and Pharmacodynamic Profile of VERVE-102 in This Patient Population.

The goal of this clinical trial is to learn if an AI-enabled stratified management system (SMART-CHD) can improve post-discharge outcomes in adults aged 18-45 with premature coronary artery disease. The main questions it aims to answer are: 1. Does SMART-CHD reduce the combined rate of all-cause death, myocardial infarction, stroke and rehospitalization within 12 months? 2. Does SMART-CHD achieve better control of modifiable risk factors compared with usual care? Researchers will compare SMART-CHD to standard discharge management (verbal and printed instructions on medications, follow-up timelines and lifestyle advice) to see if the AI-driven platform leads to fewer adverse events and improved risk-factor profiles. Participants will: 1. Install and use the SMART-CHD mobile app after a 10-minute structured orientation session with supervised simulations. 2. Complete regular in-app surveys on lifestyle behaviors, laboratory/imaging results and clinical events (with OCR-powered LLM assistance). 3. Wear paired sensors for continuous monitoring of blood pressure, heart rate and other physiologic metrics. 4. Receive automated EHR data harvesting, AI-driven voice-call reminders, and real-time CRC support via a dedicated WeChat group. 5. Follow personalized, guideline-based risk-factor recommendations (diet, exercise, sleep, weight, smoking, alcohol, hypertension, dyslipidemia, diabetes).

The goal of this observational cohort study is to establish a risk prediction model for adverse events in Chinese individuals under 45 years old with premature coronary artery disease. The main questions it aims to answer are: * What are the major risk factors for poor prognosis in Chinese patients with premature coronary artery disease? * What is the difference in the prognosis of patients with premature coronary heart disease with different phenotypes? Participants taking no mandatory intervention will be followed up for 2 year, with blood tests at 1 year and outpatient or telephone interviews at other timepoints.