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

Recruiting now

Conditions studied: Chest Pain

In brief

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.

Key facts

Study ID

NCT06196307

Run by

Xiao-nan He

People needed

10000

Starts

2022-08-30

Expected to finish

2028-12-30

Last updated by the study team

2026-02-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

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

Where it is running

• Xiaonan He — Beijing, Chaoyang, China (enrolling)

Full record on ClinicalTrials.gov

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