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Early Warning and Classification Model for Acute Non-traumatic Chest Pain
Sponsor: Xiao-nan He
Summary
Acute non-traumatic chest pain is one of the common causes of presentation in emergency patients, but the causes of acute non-traumatic chest pain are complex, the severity of the condition varies greatly, and the specificity of symptoms is not high. Machine learning and intelligent auxiliary models can greatly shorten the time of clinical decision-making, and improve the accuracy of etiological diagnosis in patients with chest pain, reduce the rate of misdiagnosis and missed diagnosis, and provide a clear direction for further treatment.
Official title: A Prospective Study of Acute Nontraumatic Chest Pain - Warning and Classification
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
10000
Start Date
2022-08-30
Completion Date
2028-12-30
Last Updated
2026-02-05
Healthy Volunteers
No
Conditions
Interventions
Clinical evaluation, laboratory and cardiac imaging results, medication, surgery, and any hospitalization
Examination： Electrocardiogram、 imaging examination、 X-ray, CTA, bedside echocardiography. Laboratory test results of patients, including complete blood count, D-dimer, myocardial injury markers, sST2, MPO, and other indicators. History of cardiovascular and pulmonary vascular drug therapy: Antithrombotic therapy (type, measurement) , Anticoagulation therapy (type, metering), Other drug treatments (type, measurement)
Locations (1)
Xiaonan He
Beijing, Chaoyang, China