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| ID | Type | Description | Link |
|---|---|---|---|
| 2023YFC2413005 | Other Identifier | Ministry of Science and Technology of the People's Republic of China |
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| Name | Class |
|---|---|
| Chinese Academy of Medical Sciences, Fuwai Hospital | OTHER |
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The rapid triage of patients with acute chest pain remains an important issue in clinical practice. This study will establish a cohort of patients suspected of acute coronary syndrome (ACS) to construct a multi-marker dynamic combined intelligent triage model. This model will triage the risk of NSTEMI in patients with chest pain at their first visit. It will also stratify the risk of patients with chest pain using major adverse cardiovascular events (MACE) within 30 days as the endpoint.
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| Measure | Description | Time Frame |
|---|---|---|
| Myocardial infarction | in patients suspected of NSTEMI, using the baseline (0 hours) and any one of the 1-3 hour points for the ZR iStar (POCT) hs-cTnI two-point method, combined with the time from typical chest pain to the visit, to establish a triage machine learning model for NSTEMI through the training cohort, and to establish a multi-marker dynamic combination intelligent triage model for risk stratification of chest pain patients. | 30 days to 6 months |
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| Measure | Description | Time Frame |
|---|---|---|
| High-sensitivity troponin | Validation of instruments and test kits by detecting high-sensitivity troponin levels using different platforms. | Concentrated detection once every three months |
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Exclusion Criteria:
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Chinese population aged 18 years and above, regardless of gender, with symptoms of chest tightness and chest pain, who need to be confirmed as acute coronary syndrome patients.
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| ID | Term |
|---|---|
| D003327 | Coronary Disease |
| ID | Term |
|---|---|
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
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Plasma or serum