Ultra-sensitive Magnetocardiography in the Accurate Identification of Myocardial Infarction
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Chest Pain
- Sponsor
- Qilu Hospital of Shandong University
- Enrollment
- 3841
- Locations
- 1
- Primary Endpoint
- Accuracy of MCG to detect myocardial infarction
- Status
- Recruiting
- Last Updated
- 7 months ago
Overview
Brief Summary
Magnetocardiography (MCG) is a promising noninvasive and accurate method for detecting myocardial infarction. Although progress has been made in this area, there is a lack of studies using up-to-date examination instruments for the calibration of MCG analysis. This is a prospective single-center study aiming to build accurate analytical models of MCG to detect myocardial infarction. Myocardial infarction are diagnosed by electrocardiogram, biomarkers (high-sensitivity cardiac troponin, etc), or non-invasive imaging (cardiac magnetic resonance or single-photon-emission tomography). Myocardial infarction is also quantified by cardiac magnetic resonance or single-photon-emission tomography. Healthy volunteers and chest pain patients who will receive electrocardiogram, biomarkers (high-sensitivity cardiac troponin, etc), or non-invasive imaging (cardiac magnetic resonance or single-photon-emission tomography) examination will be enrolled in this study.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Age 18-79 years old;
- •No history of cardiovascular disease (coronary heart disease, structural heart disease, arrhythmia, heart failure, stroke, pulmonary embolism, aortic dissection, etc.), no cardiovascular risk factors (hypertension, diabetes, hyperlipidemia). For people over 65 years old, those with hypertension or hyperlipidemia, but with well-controlled blood pressure and lipid levels, taking no more than 2 drugs, and echocardiography showing no left ventricular hypertrophy, can be included;
- •The electrocardiogram is normal, and the cardiac ultrasound is basically normal in the past 1 year (mild valvular regurgitation can be included).
- •Sign the informed consent.
Exclusion Criteria
- •Those who with acute or chronic respiratory diseases;
- •Those who with obvious abnormality of liver or kidney function;
- •Those who with endocrine diseases such as abnormal thyroid function;
- •Those who with anemia or other blood diseases;
- •Those who with connective tissue diseases (lupus erythematosus, rheumatoid arthritis, dermatomyositis, polyarteritis nodosa, etc.);
- •Those who are obese (BMI\>30kg/cm2) or underweight (BMI\<18kg/cm2);
- •Those who with malignant tumors;
- •Those who with infectious diseases or infectious diseases;
- •Those who with trauma or physical disability;
- •Those who with psychological or mental illness such as depression;
Outcomes
Primary Outcomes
Accuracy of MCG to detect myocardial infarction
Time Frame: 6 hours
To establish an algorithm model of MCG in detecting myocardial infarction and to assess the sensitivity and specificity of the above model in detecting myocardial infarction. Myocardial infarction are diagnosed by electrocardiogram, biomarkers (high-sensitivity cardiac troponin, etc), or non-invasive imaging (cardiac magnetic resonance or single-photon-emission tomography).
Secondary Outcomes
- Accuracy of MCG to detect the localization of myocardial infarct(6 hours)
- Accuracy of MCG in identifying myocardial infarct sizes(6 hours)