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.
Adults aged 18 years or above from China, regardless of gender;
Presence of symptoms such as chest tightness and chest pain, with the need to determine whether they are patients with acute coronary syndrome;
Ability to obtain informed consent.
- Patients with STEMI at the time of presentation;
Patients with a clear diagnosis after tests such as troponin;
Patients who have undergone major surgery or trauma within the past four weeks;
Pregnant women or patients with tumors undergoing radiotherapy or chemotherapy;
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.
Cohort
Prospective
Not listed
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.
High-sensitivity troponin
Validation of instruments and test kits by detecting high-sensitivity troponin levels using different platforms.
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China National Center for Cardiovascular Diseases
Lead sponsor
Chinese Academy of Medical Sciences, Fuwai Hospital
Collaborator
This trial is not recruiting at the moment. You can still explore other options:
