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Patients with atherosclerosis are at high risk of future cardiovascular disease. Approximately 70% cardiac death and 50% myocardial infarction (MI) occurred among patients with established coronary artery disease (CAD). These patients have a four to seven-fold risk of fatal or non-fatal MI compared with those without CAD. Current secondary prevention therapy, including statins and anti-platelet therapy have decreased mortality among CHD patients. However, one out of five patients with MI experienced cardiovascular events within one-year of discharge.
This study aims at identifying new risk factors of atherosclerosis, improving risk-stratification among patients with CAD by using novel biomarkers and finally improving outcome and life quality of patients. The investigators will recruit 30000 patients undergoing elective elective coronary angiography and collect baseline characteristics, physical examination, lab test results, angiographic characteristics, etc. Blood sample will also be collected at baseline. Subsequently, two-year follow-up will be done to collect data regarding patients' outcome, including cardiac death, MI, revascularization, medication, etc. Investigators will compare baseline, imaging, blood test results between patients with and without cardiovascular events and identify novel predictors of the occurrence and progression of CAD.
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Several measures will be adopted to manage missing data: (1) "Required" fields are used for key variables during data entry. (2) We conducted pilot testing to identify variables with high rate of missing data, explore possible reasons and improve data collection. (3) Data management team will monitor data quality periodically and send queries to researchers to enter the missing data and check invalid data. (4) During statistical analysis phase, based on the type, pattern and amount of missing data, appropriated methods will be used to handle missing data.
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