Prospective Multicenter Study for Early Evaluation of Acute Chest Pain (PEACP)

Sichuan University

Status: Unknown

Conditions: Pulmonary Embolism; Acute Aortic Dissection; Acute Coronary Syndrome; Chest Pain; Acute Myocardial Infarction Type 1

Treatments: Diagnostic Test: CT angiography of aorta; Diagnostic Test: Cardiac Troponin; Diagnostic Test: Coronary angiography; Diagnostic Test: Electrocardiogram; Diagnostic Test: CT angiography of pulmonary arteries.

Study type: Observational

Funder types: Other

Identifiers

NCT04122573

WestChinaH1

Details and patient eligibility

About

In this study, clinical database and blood sample bank of acute chest pain (ACP) will be established at chest pain center of multi-center hospital. To explore new biomarkers and screen clinical indicators with effective risk stratification and prognostic evaluation for ACP through proteomics technology and statistics methods. Risk stratification and short-term and long-term prognostic evaluation models for high-risk ACP will be established using large data analysis.

Full description

In this study, acute chest pain (ACP) patients will be selected from chest pain center of nine large tertiary hospitals in China from November 1, 2019 to October 31, 2021. All the selected patients will sign the informed consent.

Patients' characteristics, the first vital signs at the time of consultation, the first arterial blood gas, complete blood count, coagulation markers, blood biochemical results and myocardial injury markers, imaging examinations and electrocardiogram will be collected within 30 minutes at admission. Meanwhile, whole blood and plasma samples will be collected and stored in - 80 ℃ refrigerator. After diagnosis according to the gold standard examination or related guidelines, patients will be admitted to different department for standard treatment. Medication, surgical procedures and complications will be recorded carefully. Plasma and whole blood will be used to detect proteomics and/or genomics biomarkers associated with early evaluation of ACP.

Screening early evaluation indicators using novel protein biomarkers and easy-to-obtain clinical indicators, and establishing evaluation models for high-risk ACP by data analysis methods. Area under the receiver operating characteristic curves (AUROC), net reclassification improvement (NRI), integrated discrimination improvement (IDI) and decision curve analysis (DCA) will be used to evaluate the prediction ability of the model.

Enrollment: 10,000 estimated patients

Sex: All

Ages: 18 to 90 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Patient aged 18-90 years old;
• The time from onset of symptoms to emergency room is less than 24 hours.

Exclusion criteria

• Patients complicate with end-stage neoplastic diseases;
• Pregnant women;
• Patients re-visit during the selection period;
• Patients refuse to participate in this study.

Trial design

10,000 participants in 1 patient group

Acute chest pain

Description:

The population in this study are characterized by acute chest pain as the first symptom for consultation within 24 hours.

Treatment:

Diagnostic Test: CT angiography of pulmonary arteries.

Diagnostic Test: Electrocardiogram

Diagnostic Test: Cardiac Troponin

Diagnostic Test: CT angiography of aorta

Diagnostic Test: Coronary angiography