Model for predicting causes of chest pain

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• Xiaonan He
  Beijing, Chaoyang, China Recruiting

Study contacts

• Study coordinator: Xiaonan / He, Professor
• Email: hxndoctor@126.com
• Phone: 15001108399

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Smartwatch 9-lead ECG vs 12-lead ECG to detect STEMI in chest pain patients

  We are testing whether a smartwatch ECG can help diagnose STEMI in people with chest pain.

  Recruiting Hospital General Universitario Santa Lucia · Cartagena, Murcia · NCT07780942

• ML-based diagnosis of blocked arteries in patients with a left bundle branch block

  Doctors are testing a machine learning tool that uses digital ECGs to see if a blocked coronary artery is present in patients with a left bundle branch block.

  Recruiting Konya City Hospital · Konya, Karatay · NCT07620119

• Hormones, Pain, and Exercise: Sports Bras for Full-Busted Women

  This study tests whether specially designed sports bras can reduce neck, shoulder, arm, and back pain in full-busted women, and whether hormones, inflammation, or brain changes affect pain.

  Recruiting Phase 1 University of Houston · Houston, Texas · NCT07579182

• Chest pain screening for hidden cardiac amyloidosis

  We will test whether men over 65 who have chest pain but no coronary artery disease might have hidden cardiac amyloidosis using blood and urine tests, ECG and echocardiography, bone scintigraphy, and sometimes a heart biopsy.

  Recruiting Copenhagen University Hospital, Rigshospitalet · Copenhagen · NCT07435168

• Freesolve resorbable magnesium scaffold vs. Xience stent for up to two new heart artery lesions

  This trial tests whether the Freesolve resorbable magnesium scaffold works as well as the Xience drug-eluting stent for treating up to two new coronary artery lesions in adults.

  Recruiting at 3 sites Teleflex · Washington D.C., District of Columbia and 2 other locations · NCT07258290

• AI to improve telephone triage for emergency calls at CCUE Andalucía

  This project tests AI tools to help emergency call operators spot life-threatening problems like cardiac arrest, stroke, severe breathing trouble, and chest pain.

  Recruiting Centro de Emergencias Sanitarias 061 Andalucía · Málaga, Málaga · NCT07247669

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.