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Early Warning and Classification Model for Acute Non-traumatic Chest Pain

NCT06196307 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2026-02-05

No results posted yet for this study

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.

Conditions

Interventions

COMBINATION_PRODUCT

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)

Sponsors & Collaborators

  • Xiao-nan He

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-30
Primary Completion
2027-12-30
Completion
2028-12-30
FDA Drug
Yes
FDA Device
Yes

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06196307 on ClinicalTrials.gov