A Registry Study on Genetics and Biomarkers of Acute Coronary Syndrome
ARSGB-ACS
A Chinese Registry to Determine the Genetics Risk Factors and Serumal Biomarkers for Acute Coronary Syndrome
1 other identifier
observational
2,000
1 country
6
Brief Summary
This is a national registry study to determine genetics risk factors and serial biomarkers of Acute Coronary Syndrome.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2015
Longer than P75 for all trials
6 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 2, 2015
CompletedFirst Submitted
Initial submission to the registry
October 31, 2018
CompletedFirst Posted
Study publicly available on registry
November 26, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2025
CompletedOctober 26, 2023
October 1, 2023
6 years
October 31, 2018
October 24, 2023
Conditions
Outcome Measures
Primary Outcomes (17)
Age for each participant
current age and onset age
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Gender for each participant
male or female
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Height for each participant
cm cm cm
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Weight for each participant
kg
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Contact information for each participant
telephone
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Past Medical History
including disease history, surgical history, and medical history
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Lifestyle
including smoking history and drinking, specify how many years smoking or drinking lasted and detail quantity per day
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Biochemical
including blood lipid, fasting glucose, Creatinine and so on
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Biomarkers
including cTnI, BNP, hs-CRP, and so on
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Overall lesion profiles
how many vessels involved
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Echocardiography
LVEF and so on
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Medication at discharge
These data is collected from the cases' medical record in an average of 1 month after the sample recruiting
Genetic data
Exon sequencing data or genotypes of candidate SNPs
Sequencing will be carried out in an average of 3 months after sample recruiting
Metabolomic profile on Liquid Chromatograph Mass Spectrometer/Mass Spectrometer analysis of serum sample.
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.
The data is collected from lab in an average of 3 month after the sample recruiting
Detection of miRNAs expression in each participant using the qRT-PCT method.
Relative expression levels of miRNA were analyzed using the 2-△Ct method and U6 was used as an endogenous control.
The data is collected from lab in an average of 3 month after the sample recruiting
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.
HF includes in-hospital and long-term post-discharge HF incidence
These data is collected during follow-up visit after discharge
Study Arms (3)
case-ACS-MACE
ACS patients with poor prognosis
control-ACS-MACE
ACS patients with good prognosis
Health-control
general population without ACS
Eligibility Criteria
Case-ACS-MACE group consists of patients who was diagnosed as Acute Coronary Syndrome and had a poor prognosis during follow up. Control-ACS-MACE group consists of patients who was diagnosed as Acute Coronary Syndrome and had a good prognosis during follow up. Health control group is general population without Acute Coronary Syndrome.
You may qualify if:
- 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:
- Criteria for STEMI diagnosis:
- History of chest pain/discomfort and
- 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
- Elevation of cardiac biomarkers (CK-MB, troponins): at least one value above the 99th percentile of the local laboratory upper reference limit.
- Criteria for NSTEMI diagnosis:
- 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:
- Symptoms of angina at rest or on minimal exercise and
- At least 0.5mm ST deviation in at least 2 leads and
- No increase in biomarkers of necrosis
- 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.
You may not qualify if:
- UA, STEMI and NSTEMI precipitated by or as a complication of surgery, trauma, or GI bleeding or post-PCI.
- UA, STEMI and NSTEMI occurring in patients already hospitalized for other reasons.
- Presence of any condition/circumstance which in the opinion of the investigator could significantly limit the complete follow up of the patient (e.g. tourist, non-native speaker or does not understand the local language, psychiatric disturbances).
- Presence of serious/severe co-morbidities in the opinion of the investigator which may limit short term (i.e. 6 month) life expectancy.
- Current participation in a randomised interventional clinical trial.
- Age and gender are matched with cases.
- No Coronary Artery Disease was detected by Coronary CT examination.
- Normal biochemical indicators.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (6)
Beijing Anzhen Hospital
Beijing, 100029, China
Beijing Luhe Hospital, Capital Medical University
Beijing, China
The First Affiliated Hospital of Dalian Medical University
Dalian, China
The Second Hospital of Dalian Medical University
Dalian, China
The First Hospital of Jilin University
Jilin, China
People's Hospital of Henan University
Zhengzhou, China
Related Publications (2)
Ma J, Ma K, Chen J, Yang X, Gao F, Gao H, Zhang H, Ma XL, Du J, Li P, Li Y. Development and Validation of Risk Stratification for Heart Failure After Acute Coronary Syndrome Based on Dynamic S100A8/A9 Levels. J Am Heart Assoc. 2025 Feb 4;14(3):e037401. doi: 10.1161/JAHA.124.037401. Epub 2025 Feb 3.
PMID: 39895550DERIVEDLi Y, Chen B, Yang X, Zhang C, Jiao Y, Li P, Liu Y, Li Z, Qiao B, Bond Lau W, Ma XL, Du J. S100a8/a9 Signaling Causes Mitochondrial Dysfunction and Cardiomyocyte Death in Response to Ischemic/Reperfusion Injury. Circulation. 2019 Aug 27;140(9):751-764. doi: 10.1161/CIRCULATIONAHA.118.039262. Epub 2019 Jun 21.
PMID: 31220942DERIVED
Biospecimen
If a blood specimen is obtained, it will be separated and stored at -80 ℃ as plasma, viable cells, and extracted DNA. If a saliva specimen is obtained, it is stored for DNA. If a tissue specimen is obtained, it will be cut into small pieces and stored at liquid nitrogen.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Jie Du, PHD
Beijing Anzhen Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 31, 2018
First Posted
November 26, 2018
Study Start
June 2, 2015
Primary Completion
June 1, 2021
Study Completion
October 1, 2025
Last Updated
October 26, 2023
Record last verified: 2023-10