MCG for Risk Stratifications of Patients With Chest Pain

Qilu Hospital of Shandong University3,620 enrolled

Overview

This prospective cohort study is aimed at identification and risk stratification of patients who have symptoms of acute chest pain suspected with acute coronary syndrome （ACS） using Magnetocardiography （MCG）.

Study Type

OBSERVATIONAL

Enrollment

3,620

Conditions

Acute Coronary Syndrome

Interventions

MagnetocardiographyDEVICE

Magnetocardiography

Eligibility

Sex: ALL

Medical Language ↔ Plain English

Inclusion Criteria: * Those with suspected ACS who presented with symptoms of acute chest pain. * Signed informed consent. Exclusion Criteria: * Those with known structural heart disease such as cardiomyopathy and valvular disease; * Those with atrial fibrillation, supraventricular tachycardia, atrioventricular block and other arrhythmias that have not returned to normal; * Those who have chest pain with known pulmonary embolism or aortic coarctation; * Those who are thought to be incapable of completing the MCG examination by an attending physician (or physician with higher qualifications) due to unstable clinical conditions, metal implants, etc; * Those who are unable to perform magnetocardiography examinations due to claustrophobia, etc., or those who fail to receive magnetocardiography examination; * Those with malignant tumors; * Pregnant or lactating women. * Those with acute or critical illnesses of other systems, such as acute or severe respiratory illnesses, marked abnormalities in liver function or kidney function.

Locations (1)

Qilu Hospital of Shandong University

Jinan, Shandong, China

RECRUITING

Outcomes

Primary Outcomes

Efficacy of MCG for the detection and risk stratification in high-risk patients with chest pain

Establishing an algorithm model of MCG in identifying high-risk cardiogenic chest pain, the efficacy of the model was assessed by sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and AUC, etc.

Time frame: from the date of enrollment until the date of discharge, up to 30 days

Efficacy of MCG for the detection and risk stratification in low-risk patients with chest pain

Establishing an algorithm model of MCG in identifying low-risk cardiogenic chest pain, the efficacy of the model was assessed by sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and AUC, etc.

Time frame: from the date of enrollment until the date of discharge, up to 30 days

Central Contacts

Jiaojiao Pang, Doctor

CONTACT

0086-0531-82165674 jiaojiaopang@126.com

Data from ClinicalTrials.gov

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