Prognosis Prediction System of Patients With Cardiovascular and Cerebrovascular Diseases Based on Multi-omics

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.

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.

Eligibility Criteria:
Inclusion Criteria:

* Patients who are regularly visited and followed up in the appropriate patient; department.
* All patients met at least one of the following diagnostic criteria for cardiovascular and cerebrovascular diseases:
* coronary artery disease group;
* arrhythmia group;
* heart valve disease group;
* aortic dissection group;
* cardiac masses group;
* myocarditis group;
* hypertension group;
* cardiomyopathy group;
* structural heart disease group;
* ischemic cerebrovascular disease group;
* hemorrhagic cerebrovascular disease group;
* intracranial space occupying lesion group.

Exclusion Criteria:

* Age \<3 years or \>80 years old;
* Pregnant and lactating women;
* The patient declined to provide informed consent to participate in the study;
* None of the above was met, but the patient was temporarily unable to sign the informed consent form due to coma and other reasons, and no legal representative signed it instead. Depending on the patient's condition, the patient may not be able to regain consciousness and sign the informed consent form.