Model for predicting causes of chest pain
A Prospective Study of Acute Nontraumatic Chest Pain - Warning and Classification
This study is trying to create a tool that helps doctors better understand the causes of chest pain in patients so they can provide the right treatment more quickly.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Beijing Anzhen Hospital Academic / other |
| Locations | 1 site (Beijing, Chaoyang) |
| Trial ID | NCT06196307 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop an early warning and classification model for acute non-traumatic chest pain using machine learning techniques. By analyzing outpatient and follow-up data, the study seeks to enhance the accuracy of diagnosing the underlying causes of chest pain, which can often be complex and varied. The model will be optimized through both retrospective and prospective analyses of large cohort data, ultimately aiming to reduce misdiagnosis and improve treatment pathways for patients experiencing chest pain.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 18 years old who have experienced acute non-traumatic chest pain and are willing to provide informed consent.
Not a fit: Patients with traumatic chest pain or those with systemic pain from malignant tumors or rheumatic diseases will not benefit from this study.
Why it matters
Potential benefit: If successful, this model could significantly improve the diagnostic accuracy and treatment efficiency for patients with acute non-traumatic chest pain.
How similar studies have performed: Other studies utilizing machine learning for diagnostic purposes have shown promise, indicating that this approach may yield beneficial results.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Beijing, Chaoyang
- Xiaonan He — Beijing, Chaoyang, China (Recruiting)
Study contacts
- Study coordinator: Xiaonan / He, Professor
- Email: hxndoctor@126.com
- Phone: 15001108399
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.