NCT06196307 Early Warning and Classification Model for Acute Non-traumatic Chest Pain
| NCT ID | NCT06196307 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Xiao-nan He |
| Condition | Chest Pain |
| Study Type | OBSERVATIONAL |
| Enrollment | 10,000 participants |
| Start Date | 2022-08-30 |
| Primary Completion | 2027-12-30 |
Trial Parameters
Eligibility Fast-Check
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Brief 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.
Eligibility Criteria
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