Acute Coronary Syndrome, Chest Pain, Myocardial Infarction
Conditions
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.
Interventions
DEVICEMagnetometer
inspection equipment for magnetocardiography
Sponsors
Chongqing Emergency Medical Center
Weifang People's Hospital
Linyi People's Hospital
Weihai Central Hospital
Jining First People's Hospital
The First Affiliated Hospital with Nanjing Medical University
Second Affiliated Hospital, School of Medicine, Zhejiang University
First Affiliated Hospital Xi'an Jiaotong University
Guangdong Provincial Hospital of Traditional Chinese Medicine
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Qianfoshan Hospital
Heze Municipal Hospital
First People's Hospital of Hangzhou
Qilu Hospital of Shandong University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 79 Years
Healthy volunteers
Yes
Inclusion criteria
For healthy volunteers: Inclusion Criteria: 1. Age 18-79 years old; 2. 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; 3. The electrocardiogram is normal, and the cardiac ultrasound is basically normal in the past 1 year (mild valvular regurgitation can be included). 4. Sign the informed consent.
Exclusion criteria
1. Those who with acute or chronic respiratory diseases; 2. Those who with obvious abnormality of liver or kidney function; 3. Those who with endocrine diseases such as abnormal thyroid function; 4. Those who with anemia or other blood diseases; 5. Those who with connective tissue diseases (lupus erythematosus, rheumatoid arthritis, dermatomyositis, polyarteritis nodosa, etc.); 6. Those who are obese (BMI\>30kg/cm2) or underweight (BMI\<18kg/cm2); 7. Those who with malignant tumors; 8. Those who with infectious diseases or infectious diseases; 9. Those who with trauma or physical disability; 10. Those who with psychological or mental illness such as depression; 11. Those who are professional athletes, pregnant or breastfeeding women, alcoholics; 12. Those who are unable to perform magnetocardiography examination due to claustrophobia, etc., or those who fail to receive magnetocardiography examination; 13. Due to various reasons such as allergy to contrast agents, metal implants in vivo that are prohibited from performing 1.5T MRI (such as prostheses or steel plates implanted in orthopaedics, uterine contraceptive device) and other reasons, those who cannot or fail to cooperate with the corresponding research requirements. For chest pain patients who will receive ECG, biomarkers, or non-invasive imaging examination: Inclusion Criteria: 1. Age 18-79 years old; 2. Those with chest pain symptoms, diagnosed or highly suspected by the attending doctor or above as stable angina pectoris (SA), unstable angina pectoris (UA), non-ST segment elevation myocardial infarction (NSTEMI), ST segment elevation myocardial infarction (STEMI), and plan to receive electrocardiogram, biomarkers (high-sensitivity cardiac troponin, etc), or non-invasive imaging (cardiac magnetic resonance or single-photon-emission tomography); 3. Sign the informed consent.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of MCG to detect myocardial infarction | 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
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of MCG to detect the localization of myocardial infarct | 6 hours | To build up an algorithm model of MCG in detecting the localization of myocardial infarct. The sensitivity and specificity of the model in detecting infarct location were evaluated. |
| Accuracy of MCG in identifying myocardial infarct sizes | 6 hours | To establish an algorithm model of MCG in detecting identifying myocardial infarct sizes and to assess the sensitivity and specificity of the above model in identifying myocardial infarct sizes. Myocardial infarction sizes is quantified by cardiac magnetic resonance or single-photon-emission tomography. |
Countries
China
Contacts
Primary ContactJiaojiao Pang, Dr.
Outcome results
None listed