Prospective Multicenter Study for Early Evaluation of Acute Chest Pain

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

10000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-11-01

Study Completion Date

2022-10-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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

Keywords

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Chest pain Acute Aortic Dissection Pulmonary Embolism Acute Coronary Syndrome Acute myocardial infarction Risk stratification Prognosis Biomarkers

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Acute chest pain

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