- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05148182
Metabolomics Characterization of Biomarkers of ASCVD and Prediction Model (MEAL)
- Describe the risk factors and metabonomics characteristics of atherosclerotic cardiovascular disease in Chinese patients.
- Establish accurate prediction model of atherosclerotic heart disease.
Study Overview
Status
Conditions
Detailed Description
According to the Chinese cardiovascular disease report released in 2017, cardiovascular disease death is the leading cause of death of urban and rural residents, so cardiovascular disease risk assessment is particularly important. The development of cardiovascular risk assessment model was dated from Framingham Heart Study which first proposed the concept of risk factors, and then adjusted the model several times. In 2016, the China-PAR evaluated the cardiovascular disease risk of Chinese population. However, the application of metabolomics in coronary heart disease is a rapidly developing field and also a new field .
Therefore, the aim of this study was to
1.Describe the risk factors of atherosclerotic cardiovascular disease and the characteristics of metabolomics in Chinese population.
2. Establish an accurate prediction model of atherosclerotic heart disease. Research plan:
- 1869 risk-stratified people were recruited.
- Plasma samples were collected incluing disease status and other potential influencing factors.
- Through the high-throughput detection of body metabolites, combined with multivariate statistical analysis, the metabolic markers with significant difference in different risk levels were screened for risk prediction.
- All recruited people underwent coronary angiography.
- The distribution of age and gender in each group should be matched and balanced as far as possible.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
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Shanghai, China, 200072
- Recruiting
- Shanghai Tenth People's Hospital
-
Contact:
- yan cang, doctor
- Phone Number: +86862166307219
- Email: cang_gu@aliyun.com
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Shanghai, China, 200072
- Not yet recruiting
- Department of Cardiology,Shanghai Tenth People's Hospital
-
Contact:
- Yan Cang, doctor
- Phone Number: 18917682207
- Email: cang_gu@aliyun.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- The age of the population is 18 or more than 18 years old.
- According to China PAR equations, Chinese guidelines and consensus on cardiovascular risk assessment and management,it is considered as healthy, low, medium, high and extremely high risk group.
- The subjects read and fully understood the patient's instructions and signed the informed consent
Exclusion Criteria:
- Refused to sign informed consent.
- ACS is caused by surgery, trauma, or other diseases.
- Age less than 18 years old.
- Pregnant women.
- In the past 3 months, the patients were treated with trauma surgery.
- There are aortic dissection, pulmonary embolism, pneumonia, pericarditis, myocarditis, stress cardiomyopathy.
- Severe heart failure.
- Liver and kidney failure.
- Blood borne infectious diseases: including HIV / AIDS, hepatitis B, hepatitis C, etc.
- Patients with a history of malignancies, autoimmune diseases, severe infectious diseases and trauma.
- Any condition (such as travel, speech disorder, mental disorder) that the researcher believes can significantly limit the completion of the patient's follow-up.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
|---|
|
low risk
According to the China PAR equations and Chinese guidelines and consensus on cardiovascular risk assessment and management, it is considered as low-risk population.
|
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medium risk
According to the China PAR equations and Chinese guidelines and consensus on cardiovascular risk assessment and management, it is considered as medium-risk population.
|
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high risk
According to the China PAR equations and Chinese guidelines and consensus on cardiovascular risk assessment and management, it is considered as high-risk population.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Metabolomics Characterization of Biomarkers
Time Frame: 3 years
|
Metabonomics analysis uses a non targeted detection method to detect polar compounds and lipid compounds in blood.
The characteristic peaks of substances that can be detected are detected by chromatography Series platform, and then these characteristic peaks are compared with the standard library containing more than 8000 metabolites to annotate the compounds and screen out the differential metabolites between groups.
|
3 years
|
|
Coronary vascularization.
Time Frame: 3 years
|
Coronary vascularization includes percutaneous coronary intervention, or/and percutaneous coronary artery dilatation, or/and percutaneous coronary artery bypass grafting.
|
3 years
|
|
All cause mortality
Time Frame: 3 years
|
which refers to the total death caused by various causes in a certain period.
|
3 years
|
|
Cardiac mortality
Time Frame: 3 years
|
Cardiac death refers to the death caused by serious cardiac dysfunction or failure which caused by heart disease or injury in a certain period.
|
3 years
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MEAL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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