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Trial Title:
Prognosis Prediction System of Patients With Cardiovascular and Cerebrovascular Diseases Based on Multi-omics
NCT ID:
NCT06001073
Condition:
Coronary Artery Disease
Arrhythmias, Cardiac
Heart Valve Diseases
Aortic Dissection
Heart Neoplasms
Myocarditis
Hypertension
Cardiomyopathies
Structural Heart Disease
Ischemic Cerebrovascular Disease
Hemorrhagic Cerebrovascular Disease
Brain Neoplasms
Conditions: Official terms:
Neoplasms
Brain Neoplasms
Heart Neoplasms
Cerebrovascular Disorders
Coronary Artery Disease
Cardiomyopathies
Arrhythmias, Cardiac
Aortic Dissection
Myocarditis
Heart Valve Diseases
Conditions: Keywords:
Cardiovascular diseases
Cerebrovascular diseases
Prognosis
Multi-omics
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Other
Intervention:
Intervention type:
Other
Intervention name:
Observational; No Interventions were given.
Description:
Observational; No Interventions were given.
Arm group label:
Arrhythmia group
Arm group label:
Cardiac masses group
Arm group label:
Cardiomyopathy group
Arm group label:
Coronary artery disease group
Arm group label:
Heart valve disease group
Arm group label:
Hemorrhagic cerebrovascular disease group
Arm group label:
Hypertension group
Arm group label:
Intracranial space occupying lesion group
Arm group label:
Ischemic cerebrovascular disease group
Arm group label:
Myocarditis group
Arm group label:
Structural heart disease group
Arm group label:
aortic dissection group
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.
Criteria for eligibility:
Study pop:
Patients with cardiovascular and cerebrovascular diseases will be recruited, including
coronary artery disease, arrhythmia, heart valve disease, aortic dissection, cardiac
masses, myocarditis, hypertension, cardiomyopathy, structural heart disease, ischemic
cerebrovascular disease, hemorrhagic cerebrovascular disease, and intracranial space
occupying lesion.
Sampling method:
Non-Probability Sample
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.
Gender:
All
Minimum age:
3 Years
Maximum age:
80 Years
Healthy volunteers:
No
Locations:
Facility:
Name:
First Affiliated Hospital of Xian Jiantong University
Address:
City:
Xi'an
Zip:
710061
Country:
China
Status:
Recruiting
Contact:
Last name:
Guoliang Li
Email:
liguoliang_med@163.com
Start date:
December 5, 2022
Completion date:
December 31, 2028
Lead sponsor:
Agency:
First Affiliated Hospital Xi'an Jiaotong University
Agency class:
Other
Collaborator:
Agency:
Xi'an Gaoxin Hospital
Agency class:
Other
Collaborator:
Agency:
First Affiliated Hospital of Chongqing Medical University
Agency class:
Other
Collaborator:
Agency:
General Hospital of Ningxia Medical University
Agency class:
Other
Collaborator:
Agency:
Second Affiliated Hospital of Nanchang University
Agency class:
Other
Source:
First Affiliated Hospital Xi'an Jiaotong University
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06001073
