Chest Pain
Conditions
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.
Detailed 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.
Interventions
COMBINATION_PRODUCTClinical evaluation, laboratory and cardiac imaging results, medication, surgery, and any hospitalization
Examination： Electrocardiogram、 imaging examination、 X-ray, CTA, bedside echocardiography. Laboratory test results of patients, including complete blood count, D-dimer, myocardial injury markers, sST2, MPO, and other indicators. History of cardiovascular and pulmonary vascular drug therapy: Antithrombotic therapy (type, measurement) , Anticoagulation therapy (type, metering), Other drug treatments (type, measurement)
Sponsors
Xiao-nan He
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Adverse events | 30 days after presenting to the emergency departments(ED) | The primary outcome was a composite of adjudicated major adverse cardiovascular and cerebrovascular events (MACCE), which included cardiovascular death, all-cause mortality, nonfatal myocardial infarction, refractory angina, new onset heart failure and stroke. |
Countries
China
Contacts
CONTACTXiaonan / He, Professor
CONTACTHaotian / Wu, Bachelor
Outcome results
None listed