In this study, clinical database and blood sample bank of acute chest pain (ACP) will be established at chest pain center of multi-center hospital. To explore new biomarkers and screen clinical indicators with effective risk stratification and prognostic evaluation for ACP through proteomics technology and statistics methods. Risk stratification and short-term and long-term prognostic evaluation models for high-risk ACP will be established using large data analysis.
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Rate of participants with all-cause death
Timeframe: One year
Rate of participants with cardiovascular death
Timeframe: One year
Rate of participants with major adverse cardiac events (MACEs)
Timeframe: One year
Rate of participants with acute myocardial infarction
Timeframe: Twenty-four hours
Rate of participants with acute pulmonary embolism
Timeframe: Twenty-four hours
Rate of participants with acute aortic dissection
Timeframe: Twenty-four hours
Rate of participants with acute coronary syndrome
Timeframe: Twenty-four hours