- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03968809
Role of Cardioflux in Predicting Coronary Artery Disease (CAD) Outcomes
Role of the Cardioflux Magnetocardiography System in Predicting Patient Outcomes With Coronary Artery Disease
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This is a single-center, prospective, observational cohort trial to form a registry data set. Patients presenting for cardiac stress testing utilizing Single Photon Emission Computed Tomography (SPECT), cardiac CT angiography (CCTA), or cardiac catheterization will be offered to enroll in the registry and provide informed consent to undergo imaging with a CardioFlux magnetocardiography (MCG) prior to their procedure.
Multiple studies have shown that MCG accuracy is quite high in identifying patients with symptomatic coronary artery disease. This difference is dramatic enough to prove superiority over standard ECGs in diagnosis of vital ischemic and infarction parameters. Genetesis presents a novel MCG analysis system called CardioFlux (CF). This modality takes less than five minutes to complete, is radiation-free, and is an easy to operate system. This clinical trial will enroll patients of all cardiac risk levels presenting for various modalities of cardiac diagnostic testing to have CardioFlux scanning in addition to standard of care. Results will be interpreted and compared to the immediate results of nuclear (SPECT) stress testing, cardiac CT angiography, or cardiac catheterization.
Participants will be followed up at 30 days and 1 year via phone call or chart review. 30 day and 1 year MACE will be recorded and correlated with initial CardioFlux MCG results. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy will be calculated of CardioFlux relative to the incidence of MACE, and in comparison to the above diagnostic modalities.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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West Virginia
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Morgantown, West Virginia, United States, 26506
- J.W. Ruby Memorial Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- ≥ 18 years of age at the time of enrollment.
- Patient presenting for cardiac stress testing, cardiac CT angiography (CCTA), or cardiac catheterization.
- Consents to having an magnetocardiogram-CardioFlux study scan.
Exclusion Criteria:
- < 18 years of age
- Patients unable to fit into device
- Non-ambulatory patients
- Patients with implanted cardiac pacemakers/defibrillators
- Positive response on provided Metallic/Ferromagnetic Device Screening Form
- Atrial fibrillation with rapid ventricular response
- Patients with other sustained or incessant arrhythmias
- Patients with claustrophobia or unable to lie supine for 2 minutes
- Patients require supplemental oxygen at home
- Presence or reasonable clinical suspicion of any acute coronary syndrome for which delayed intervention could increase the risk or magnitude of damaged myocardium
- Patients scheduled for cardiac catheterization with indication of valvular disease
- Poor candidate for follow-up (e.g. no access to phone)
- Prisoners
- Repeat participants
- Patients participate in other research studies
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Standard Coronary Artery Disease Screening
All patients presenting for standard coronary artery disease screening will undergo additional imaging with CardioFlux MCG.
These patients will be followed longitudinally for short and long term MACE.
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All patients enrolled and receiving standard screening tests for CAD will undergo a 2 minute scan with MCG.
It will be determined if MCG scanning can provide equal or superior accuracy to predict MACE than standard testing.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percentage study subjects having coronary Revascularization
Time Frame: 1 year
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Patient follow up will be performed to find the incidence of coronary revascularization at 30 days and 1 year.
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1 year
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Percentage of study subjects having Major Adverse Cardiac Events
Time Frame: 1 year
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Patients will have follow up to determine the occurrence of MACE, defined as nonfatal stroke, nonfatal myocardial infarction, and cardiovascular death
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1 year
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Incidence of study subjects with endpoint of death
Time Frame: 1 year
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All cause mortality will be recorded at end of follow up period for the entire study population.
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1 year
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Comparison of MCG with Stress testing
Time Frame: 30 days
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Comparison with nuclear stress testing (SPECT) will be performed, with statistical analysis including sensitivity, specificity, NPV, and PPV
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30 days
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Comparison of MCG with Cardiac CT angiography (CCTA)
Time Frame: 30 days
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Comparison with CCTA will be performed for those having this test, with statistical analysis including sensitivity, specificity, NPV, and PPV
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30 days
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Partho P Sengupta, M.D., WVU Heart and Vascular Institute, J.W. Ruby Memorial Hospital
Publications and helpful links
General Publications
- Chaikovsky I, Hailer B, Sosnytskyy V, Lutay M, Mjasnikov G, Kazmirchuk A, Bydnyk M, Lomakovskyy A, Sosnytskaja T. Predictive value of the complex magnetocardiographic index in patients with intermediate pretest probability of chronic coronary artery disease: results of a two-center study. Coron Artery Dis. 2014 Sep;25(6):474-84. doi: 10.1097/MCA.0000000000000107.
- Lim HK, Kwon H, Chung N, Ko YG, Kim JM, Kim IS, Park YK. Usefulness of magnetocardiogram to detect unstable angina pectoris and non-ST elevation myocardial infarction. Am J Cardiol. 2009 Feb 15;103(4):448-54. doi: 10.1016/j.amjcard.2008.10.013. Epub 2008 Dec 25.
- Li Y, Che Z, Quan W, Yuan R, Shen Y, Liu Z, Wang W, Jin H, Lu G. Diagnostic outcomes of magnetocardiography in patients with coronary artery disease. Int J Clin Exp Med. 2015 Feb 15;8(2):2441-6. eCollection 2015.
- Kwong JS, Leithauser B, Park JW, Yu CM. Diagnostic value of magnetocardiography in coronary artery disease and cardiac arrhythmias: a review of clinical data. Int J Cardiol. 2013 Sep 1;167(5):1835-42. doi: 10.1016/j.ijcard.2012.12.056. Epub 2013 Jan 19.
- Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017 Mar 7;135(10):e146-e603. doi: 10.1161/CIR.0000000000000485. Epub 2017 Jan 25. No abstract available. Erratum In: Circulation. 2017 Mar 7;135(10 ):e646. Circulation. 2017 Sep 5;136(10 ):e196.
- Goernig M, Liehr M, Tute C, Schlosser M, Haueisen J, Figulla HR, Leder U. Magnetocardiography based spatiotemporal correlation analysis is superior to conventional ECG analysis for identifying myocardial injury. Ann Biomed Eng. 2009 Jan;37(1):107-11. doi: 10.1007/s10439-008-9598-5. Epub 2008 Nov 18.
- Her AY, Park JW. Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction. Yonsei Med J. 2016 Nov;57(6):1305-6. doi: 10.3349/ymj.2016.57.6.1305. No abstract available.
- Bang WD, Kim K, Lee YH, Kwon H, Park Y, Pak HN, Ko YG, Lee M, Joung B. Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction. Yonsei Med J. 2016 Nov;57(6):1339-46. doi: 10.3349/ymj.2016.57.6.1339.
- Motwani M, Dey D, Berman DS, Germano G, Achenbach S, Al-Mallah MH, Andreini D, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJ, Cury RC, Delago A, Gomez M, Gransar H, Hadamitzky M, Hausleiter J, Hindoyan N, Feuchtner G, Kaufmann PA, Kim YJ, Leipsic J, Lin FY, Maffei E, Marques H, Pontone G, Raff G, Rubinshtein R, Shaw LJ, Stehli J, Villines TC, Dunning A, Min JK, Slomka PJ. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis. Eur Heart J. 2017 Feb 14;38(7):500-507. doi: 10.1093/eurheartj/ehw188.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1902469303
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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