Acute Coronary Syndrome, Acute Myocardial Infarction, Coronary Artery Disease, Unstable Angina
Conditions
Brief summary
This is a national registry study to determine genetics risk factors and serial biomarkers of Acute Coronary Syndrome.
Interventions
None listed
Sponsors
Beijing Institute of Heart, Lung and Blood Vessel Diseases
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
Inclusion criteria
ACS Case Inclusion Criteria: * Written informed consent has been provided. * Contact Order Form has been provided. * Aged 18 years or older. * Hospitalized within 48 hours of onset of symptoms. * Diagnosis of STEMI, NSTEMI or UA using the following definitions: 1.Criteria for STEMI diagnosis: 1. History of chest pain/discomfort and 2. Persistent ST-segment elevation (\> 30 min) of ≥ 0.1 mV in 2 or more contiguous ECG leads or presumed new left bundle branch block (LBBB) on admission and 3. Elevation of cardiac biomarkers (CK-MB, troponins): at least one value above the 99th percentile of the local laboratory upper reference limit. 2.Criteria for NSTEMI diagnosis: 1.History of chest pain/discomfort and 2.Lack of persistent ST-segment elevation, LBBB or intraventricular conduction disturbances and 3.Elevation of cardiac biomarkers (CK-MB, troponins): at least one value above the 99th percentile of the local laboratory upper reference limit. 3.Criteria for Unstable Angina diagnosis: 1. Symptoms of angina at rest or on minimal exercise and 2. At least 0.5mm ST deviation in at least 2 leads and 3. No increase in biomarkers of necrosis 4. OR objective evidence of ischaemia by non-invasive imaging OR significant coronary stenosis as determined by the treating physician at angiography if this is standard practice in study site. Case
Exclusion criteria
Patients will not be eligible to participate if any of the following
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Age for each participant | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | current age and onset age |
| Gender for each participant | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | male or female |
| Height for each participant | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | cm cm cm |
| Weight for each participant | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | kg |
| Contact information for each participant | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | telephone |
| Past Medical History | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | including disease history, surgical history, and medical history |
| Lifestyle | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | including smoking history and drinking, specify how many years smoking or drinking lasted and detail quantity per day |
| Biochemical | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | including blood lipid, fasting glucose, Creatinine and so on |
| Biomarkers | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | including cTnI, BNP, hs-CRP, and so on |
| Overall lesion profiles | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | how many vessels involved |
| Echocardiography | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | LVEF and so on |
| Medication at discharge | These data is collected from the cases' medical record in an average of 1 month after the sample recruiting | — |
| Genetic data | Sequencing will be carried out in an average of 3 months after sample recruiting | Exon sequencing data or genotypes of candidate SNPs |
| Metabolomic profile on Liquid Chromatograph Mass Spectrometer/Mass Spectrometer analysis of serum sample. | The data is collected from lab in an average of 3 month after the sample recruiting | The results of metabolomics will be measured by mass spectrometry, including lipids, sugars, amino acids, carnitine, choline, arachidonic acid, sterol and free fat acid . All of metabolites will be quantitative (unit: mol/L). Identification of molecules via Human Metabolites Database will be reported online. |
| Detection of miRNAs expression in each participant using the qRT-PCT method. | The data is collected from lab in an average of 3 month after the sample recruiting | Relative expression levels of miRNA were analyzed using the 2-△Ct method and U6 was used as an endogenous control. |
| Detection of candidate biomarkers in each participant using proteome detection or ELASA | The data is collected from lab in an average of 12 month after the sample recruiting | — |
| Major adverse cardiovascular events (MACE) in overall population, defined as composite of all-cause death, Heart Failure, recurrent myocardial infarction, stroke or ischemia-driven revascularization. | These data is collected during follow-up visit after discharge | HF includes in-hospital and long-term post-discharge HF incidence |
Countries
China
Outcome results
None listed