Wearable Assessment of Thoracic, Cardiac Health and Exercise Performance Trial Prospective
NCT07663799
Apple Watch, Cardiovascular Abnormalities
Hong Kong
View Trial DetailsNCT Number: NCT06864676
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.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 30 days to 6 months
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.
Time frame: Concentrated detection once every three months
Validation of instruments and test kits by detecting high-sensitivity troponin levels using different platforms.
China National Center for Cardiovascular Diseases
Other Gov
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