Clinical trials

This study aims to establish a standardized cohort for panvascular diseases, encompassing biological materials such as DNA samples, along with extensive patient medical records and follow-up information. The design of this database will enable it to serve as a comprehensive resource for future medical research. Upon data collection, researchers will conduct various statistical analyses to enhance our understanding of the factors and mechanisms contributing to various panvascular diseases, including coronary heart disease, myocardial infarction, stroke, and peripheral vascular disease. These statistical analyses will also aid in identifying more effective treatment strategies for these conditions. By amassing a large volume of data from a significant number of patients with panvascular diseases, researchers will be able to perform highly precise analyses of the factors influencing the onset, progression, and treatment of these diseases. The results of these precise analyses can then be utilized to optimize clinical practices for the prevention and treatment of panvascular diseases.

The Chinese Migrant Population Health Cohort is a prospective, multi-center study jointly initiated by Professor Yong Ji, President of Harbin Medical University, and Academician Guoqiang Chen, President of Hainan Medical University, in collaboration with regional partners. It targets older adults (≥60 years) who engage in seasonal migration between cold (Heilongjiang) and tropical (Hainan) regions. The primary objective is to investigate cardiovascular and metabolic disease risks, underlying biological and environmental mechanisms, and effective preventive strategies in this unique population. Participants are recruited from both origin and destination sites and undergo standardized baseline assessments, including questionnaires, physical examinations, medical imaging, biospecimen collection (blood, stool, hair, nails), and environmental exposure monitoring. Longitudinal follow-up includes periodic reassessments, remote monitoring, and data linkage with hospital information systems to capture health outcomes. The study aims to: Define migration-related health risk profiles and disease phenotypes. Elucidate biological and environmental mechanisms influencing disease onset and progression. Develop AI-driven risk prediction models and evaluate targeted interventions through nested randomized controlled trials. Translate findings into clinical guidelines and scalable cross-regional health management models. This is the first cohort in China to systematically investigate the health impacts of seasonal migration in older adults. By integrating epidemiology, multi-omics, environmental data, and health policy translation, the study seeks to improve continuity of care, strengthen climate adaptation, and promote healthy ageing.