Role of Cardioflux in Predicting Coronary Artery Disease (CAD) Outcomes
Role of the Cardioflux Magnetocardiography System in Predicting Patient Outcomes With Coronary Artery Disease
1 other identifier
observational
101
1 country
1
Brief Summary
This single-center clinical trial is designed to evaluate the CardioFlux magnetocardiograph diagnostic imaging system to predict major adverse cardiac events (MACE) in patients referred for evaluation for coronary artery disease.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2019
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 28, 2019
CompletedFirst Posted
Study publicly available on registry
May 30, 2019
CompletedStudy Start
First participant enrolled
September 5, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 20, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
June 20, 2020
CompletedFebruary 23, 2023
February 1, 2023
10 months
May 28, 2019
February 21, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Percentage study subjects having coronary Revascularization
Patient follow up will be performed to find the incidence of coronary revascularization at 30 days and 1 year.
1 year
Percentage of study subjects having Major Adverse Cardiac Events
Patients will have follow up to determine the occurrence of MACE, defined as nonfatal stroke, nonfatal myocardial infarction, and cardiovascular death
1 year
Incidence of study subjects with endpoint of death
All cause mortality will be recorded at end of follow up period for the entire study population.
1 year
Secondary Outcomes (2)
Comparison of MCG with Stress testing
30 days
Comparison of MCG with Cardiac CT angiography (CCTA)
30 days
Study Arms (1)
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.
Interventions
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.
Eligibility Criteria
This is an adult patient population at varying risk for coronary artery disease who will present at single center for cardiovascular screening with stress testing, CCTA, or cardiac catheterization with angiography.
You may qualify if:
- ≥ 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.
You may not qualify if:
- \< 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Genetesis Inc.lead
Study Sites (1)
J.W. Ruby Memorial Hospital
Morgantown, West Virginia, 26506, United States
Related Publications (9)
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. doi: 10.1161/CIR.0000000000000491. Circulation. 2017 Sep 5;136(10):e196. doi: 10.1161/CIR.0000000000000530.
PMID: 28122885BACKGROUNDChaikovsky 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.
PMID: 24667125BACKGROUNDGoernig 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.
PMID: 19015988BACKGROUNDKwong 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.
PMID: 23336954BACKGROUNDLi 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.
PMID: 25932186BACKGROUNDLim 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.
PMID: 19195500BACKGROUNDHer 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.
PMID: 27593855BACKGROUNDBang 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.
PMID: 27593860BACKGROUNDMotwani 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.
PMID: 27252451BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Partho P Sengupta, M.D.
WVU Heart and Vascular Institute, J.W. Ruby Memorial Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 28, 2019
First Posted
May 30, 2019
Study Start
September 5, 2019
Primary Completion
June 20, 2020
Study Completion
June 20, 2020
Last Updated
February 23, 2023
Record last verified: 2023-02
Data Sharing
- IPD Sharing
- Will not share
Currently there is no plan to share independent participant data to other researchers outside the primary institution where the trial is taking place.