Magnetocardiography in the Accurate Identification of Myocardial Infarction
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-79
SponsorQilu Hospital of Shandong University
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
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.
Disqualifiers
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;
Trial population
healthy individuals and chest pain patients who will receive ECG, biomarkers, or non-invasive imaging examination
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Magnetometer
Deviceinspection equipment for magnetocardiography
Treatment groups
3,841 Participants
are divided into 2 treatment groupsGroup A: healthy volunteers1 intervention
Group B: chest pain patients who will receive ECG, biomarkers, or non-invasive imaging examination1 intervention
Trial outcomes
Primary outcomes
1
Accuracy of MCG to detect myocardial infarction
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).
Time frame
6 hoursSecondary outcomes
1
Accuracy of MCG to detect the localization of myocardial infarct
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.
Time frame
6 hours2
Accuracy of MCG in identifying myocardial infarct sizes
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.
Time frame
6 hoursSponsors and contacts
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Qilu Hospital of Shandong University
Lead sponsor
Chongqing Emergency Medical Center
Collaborator
Weifang People's Hospital
Collaborator
Linyi People's Hospital
Collaborator
Weihai Central Hospital
Collaborator
Jining First People's Hospital
Collaborator
The First Affiliated Hospital with Nanjing Medical University
Collaborator
Second Affiliated Hospital, School of Medicine, Zhejiang University
Collaborator
First Affiliated Hospital Xi'an Jiaotong University
Collaborator
Guangdong Provincial Hospital of Traditional Chinese Medicine
Collaborator
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Collaborator
Qianfoshan Hospital
Collaborator
Heze Municipal Hospital
Collaborator
First People's Hospital of Hangzhou
Collaborator
Source ClinicalTrials.gov