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Brief Title: Prognosis Prediction System of Patients With Cardiovascular and Cerebrovascular Diseases Based on Multi-omics
Official Title: Prognosis Prediction System of Patients With Cardiovascular and Cerebrovascular Diseases Based on Multi-omics (PROSPECT): a National, Multicenter, Retrospective-prospective, Cohort Study
Study ID: NCT06001073
Brief Summary: The etiology and specific pathogenesis of many cardiovascular diseases such as coronary atherosclerosis, cardiomyopathy, atrial fibrillation, and stroke are still unclear. Improving diagnosis and treatment, clarifying the pathogenesis, and providing scientific basis for the prevention and treatment are hot research topics in the study of cardiovascular and cerebrovascular diseases. This study intends to collect clinical data and biological specimen data of patients with cardiovascular and cerebrovascular diseases who meet the inclusion and exclusion criteria, and use multi-omics technology to deeply understand the pathogenic mechanisms of cardiovascular and cerebrovascular diseases and provide new ideas for specific and individualized treatment of patients with cardiovascular and cerebrovascular diseases, to construct early predictive prognostic models and provide a basis for effective treatment of clinical practice in patients with cardiovascular and cerebrovascular diseases.
Detailed Description: Cardiovascular and cerebrovascular diseases refer to ischemic and hemorrhagic diseases of the heart, brain and body tissues caused by hyperlipidemia, blood viscosity, atherosclerosis, hypertension, etc. It is one of the major public health problems in the world. The etiology and specific pathogenesis of many cardiovascular diseases such as coronary atherosclerosis, cardiomyopathy, atrial fibrillation, and stroke are still unclear. Improving diagnosis and treatment, clarifying the pathogenesis, and providing scientific basis for the prevention and treatment are hot research topics in the study of cardiovascular and cerebrovascular diseases. This study intends to collect clinical data and biological specimen data of patients with cardiovascular and cerebrovascular diseases who meet the inclusion and exclusion criteria, and use multi-omics technology to deeply understand the pathogenic mechanisms of cardiovascular and cerebrovascular diseases and provide new ideas for specific and individualized treatment of patients with cardiovascular and cerebrovascular diseases, to construct early predictive prognostic models and provide a basis for effective treatment of clinical practice in patients with cardiovascular and cerebrovascular diseases.
Minimum Age: 3 Years
Eligible Ages: CHILD, ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
First Affiliated Hospital of Xian Jiantong University, Xi'an, Shaanxi, China
Name: Gouliang Li
Affiliation: First Affiliated Hospital Xi'an Jiaotong University
Role: PRINCIPAL_INVESTIGATOR
Name: Yang Yan
Affiliation: First Affiliated Hospital of Xian Jiaotong University
Role: PRINCIPAL_INVESTIGATOR