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

Xiao-nan He

Status: Enrolling

Conditions: Chest Pain

Treatments: Combination Product: Clinical evaluation, laboratory and cardiac imaging results, medication, surgery, and any hospitalization

Study type: Observational

Funder types: Other

Identifiers

NCT06196307

F0213-62272327

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 10,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Age ≥ 18 years
2. 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)
3. Presentation to the emergency department, with a clinical diagnosis consistent with non-traumatic chest pain
4. Signed informed consent

Exclusion criteria

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

Trial design

10,000 participants in 2 patient groups

No cardiovascular adverse and cerebrovascular events (MACCE) occurred during the 1-month period

Description:

No cardiovascular and cerebrovascular adverse events (MACCE)，which included cardiovascular death, all-cause mortality, nonfatal myocardial infarction, refractory angina, new onset heart failure and stroke. Follow-up visits are conducted by in-person or telephone and registration is carried out.

Treatment:

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

Group of major cardiovascular and cerebrovascular adverse events (MACCE) occurring during 1 month

Description:

Cardiovascular and cerebrovascular adverse events occur, the rest of the same as in the previous group

Treatment:

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