NCT03968809

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
101

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Sep 2019

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
2 days until next milestone

First Posted

Study publicly available on registry

May 30, 2019

Completed
3 months until next milestone

Study Start

First participant enrolled

September 5, 2019

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 20, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 20, 2020

Completed
Last Updated

February 23, 2023

Status Verified

February 1, 2023

Enrollment Period

10 months

First QC Date

May 28, 2019

Last Update Submit

February 21, 2023

Conditions

Keywords

Coronary Artery DiseaseCardiac Imaging

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.

Diagnostic Test: CardioFlux Magnetocardiography

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.

Standard Coronary Artery Disease Screening

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

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

Study Sites (1)

J.W. Ruby Memorial Hospital

Morgantown, West Virginia, 26506, United States

Location

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: 28122885BACKGROUND
  • 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.

    PMID: 24667125BACKGROUND
  • 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.

    PMID: 19015988BACKGROUND
  • 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.

    PMID: 23336954BACKGROUND
  • 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.

    PMID: 25932186BACKGROUND
  • 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.

    PMID: 19195500BACKGROUND
  • 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.

    PMID: 27593855BACKGROUND
  • 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.

    PMID: 27593860BACKGROUND
  • 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.

    PMID: 27252451BACKGROUND

MeSH Terms

Conditions

Coronary Artery Disease

Condition Hierarchy (Ancestors)

Coronary DiseaseMyocardial IschemiaHeart DiseasesCardiovascular DiseasesArteriosclerosisArterial Occlusive DiseasesVascular Diseases

Study Officials

  • Partho P Sengupta, M.D.

    WVU Heart and Vascular Institute, J.W. Ruby Memorial Hospital

    PRINCIPAL INVESTIGATOR

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.

Locations