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NCT Number: NCT06196307

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

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.

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Key information

Conditions

Chest Pain Neurologic Manifestations Pain Pathological Conditions, Signs and Symptoms Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Xiaonan He

Beijing, Chaoyang, 100029, China

Location status: Recruiting

Location contact

Xiaonan / HE, Professor

CONTACT

[email protected]

15001108399

About this study

Prospective observational studies used outpatient and follow-up information to construct an auxiliary early warning model of acute non-traumatic chest pain based on federated learning, and optimized the accuracy of early warning models through retrospective and prospective studies of large cohort data, and established an efficient and stable early warning and classification model for acute non-traumatic chest pain.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥ 18 years
  • Symptom onset or worsening within 24 hours before presentation, with a chief complaint of acute chest pain meeting the broad definition of chest pain (2021 AHA)
  • Presentation to the emergency department, with a clinical diagnosis consistent with non-traumatic chest pain
  • Signed informed consent

Exclusion criteria

  • traumatic chest pain
  • systemic pain caused by malignant tumors or rheumatic diseases involving the chest
  • Patients were lost to follow-up

Treatment and study plan

Clinical evaluation, laboratory and cardiac imaging results, medication, surgery, and any hospitalization

Combination Product

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)

Primary outcomes

  1. Adverse events

    Time frame: 30 days after presenting to the emergency departments(ED)

    The primary outcome was a composite of adjudicated major adverse cardiovascular and cerebrovascular events (MACCE), which included cardiovascular death, all-cause mortality, nonfatal myocardial infarction, refractory angina, new onset heart failure and stroke.

Other outcomes

  1. Differences in accuracy in diagnosing acute non-traumatic chest pain using machine learning and intelligence-assisted models and existing scoring systems.

    Time frame: Week 12

    Cross-disciplinary testing

Study contacts

Contact information is provided by the study sponsor or research team.

Haotian / Wu, Bachelor

CONTACT

[email protected]

13966123702

Xiaonan / He, Professor

CONTACT

[email protected]

15001108399

Sponsors and collaborators

Lead sponsor

Xiao-nan He

Other

Registry information

Official study title

A Prospective Study of Acute Nontraumatic Chest Pain - Warning and Classification

Important dates

Study start
2022
Primary completion
2027
Study completion
2028
First posted
Jan 9, 2024
Registry last updated
Feb 5, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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