Early Warning and Classification Model for Acute Non-traumatic Chest Pain
ConditionChest Pain
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorXiao-nan He
About this trial
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
Qualifiers
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
Disqualifiers
traumatic chest pain
systemic pain caused by malignant tumors or rheumatic diseases involving the chest
Patients were lost to follow-up
Trial design
Treatments tested in this trial
- Clinical evaluation, laboratory and cardiac imaging results, medication, surgery, and any hospitalization
Treatment groups
10,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
Xiao-nan He
Lead sponsor
Beijing Anzhen Hospital
Sponsor institution
Source ClinicalTrials.gov