Myovista iECG for Detecting Ischemic Heart Disease: Comparison With Computed Tomography Coronary Angiography

NCT ID: NCT01562730

Last Updated: 2012-05-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-04-30

Study Completion Date

2013-04-30

Brief Summary

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Study evaluates the new technique MyoVista™ iECG sensitivity and ability to predict myocardial diseases, comparing iECG results with Computed Tomography Coronary Angiography findings

Detailed Description

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Clinical need

Non-invasive identification of patients with coronary artery disease using a single, highly reliable technique is challenging. Computed tomography coronary angiography (CTCA) has emerged as a patient-friendly, accurate diagnostic tool. Compared to invasive coronary angiography, the sensitivity and specificity of CTCA for detecting significant coronary stenosis has been reported to be higher than 90%. Moreover, CTCA allows the detection of nonobstructive coronary plaques (CAPs). However, the advantage of CTCA is frequently reduced by significantly higher radiation exposure.

New MyoVista™ iECG technology

The MyoVista™ (Heart Test Laboratories Inc., Colleyville, TX, USA) is a novel electrocardiographic device. The clinical set up of MyoVista™ is identical to that of a traditional 12-lead ECG but it acquires and processes signal information in a way that permits much greater resolution of the electrical activity associated with the myocardium (iECG). This technology property of Heart Test Laboratories allows analysis of the entire myocardium and provides visual indicators and waveforms for clinical evaluation.

Study rationale

MyoVista™ technology has been so far validated in cohorts of Asian patients undergoing a clinically-indicated coronary angiography. These studies showed high positive and negative predictive values for identification of CAD. In addition, preliminary studies performed in the USA suggest a potential incremental value of iECG over routine surface ECG as a screening tool for detection of subclinical LV dysfunction and latent cardiovascular risk.

The aim of this prospective controlled evaluation is to assess

1. the sensitivity, specificity, and predictive value of MyoVista™ iECG in consecutive individuals without any history of cardiovascular disease undergoing a clinically indicated Computed Tomography Coronary Angiography (CTCA) in detecting Coronary Artery Plaque (CAP) and/or Coronary Artery Disease (CAD) (Group 1);
2. the sensitivity, specificity, and predictive value of MyoVista™ iECG in consecutive individuals with history of cardiovascular disease undergoing a clinically indicated CTCA in detecting the extent of CAP or CAD (Group 2);
3. whether MyoVista™ iECG abnormality is a better predictor of traditional risk factors to prevalence of CAP in individuals without history of cardiovascular disease.

Conditions

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Coronary Artery Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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No previous cardiovascular disease

Individuals without any history of cardiovascular disease

No interventions assigned to this group

Previous cardiovascular disease

Individuals with history of cardiovascular disease

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* chest pain,
* shortness of breath,
* syncope or equivocal stress testing including exercise ECG,
* myocardial perfusion imaging, or stress echocardiography unable to exclude significant coronary artery disease.
* All patients will provide written and oral consent to CTCA.
* Patient agrees to participate and signs the informed consent

Exclusion Criteria

* usually renal insufficiency (serum creatinine \>120 mol/l),
* contraindications to the administration of iodinated contrast,
* pregnancy, acute coronary syndromes,
* and ventricular and/or supraventricular arrhythmias.
Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Meditrial SrL

INDUSTRY

Sponsor Role collaborator

Cardiocentro Ticino

OTHER

Sponsor Role lead

Responsible Party

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Angelo Auricchio

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Angelo Auricchio, MD PhD FESC

Role: PRINCIPAL_INVESTIGATOR

Fondazione Cardiocentro Ticino

Locations

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Fondazione Cardiocentro Ticino

Lugano, , Switzerland

Site Status RECRUITING

Countries

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Switzerland

Central Contacts

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Angelo Auricchio, MD PhD FESC

Role: CONTACT

+41 91 805 3340

Facility Contacts

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Angelo Auricchio, MD PhD FESC

Role: primary

+41 91 805 3340

References

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Faletra FF, Klersy C, D'Angeli I, Penco M, Procaccini V, Pasotti E, Marcolongo A, Pedrazzini GB, De Castro S, Scappaticci M, Moccetti T, Auricchio A. Relation between coronary atherosclerotic plaques and traditional risk factors in people with no history of cardiovascular disease undergoing multi-detector computed coronary angiography. Heart. 2009 Aug;95(15):1265-72. doi: 10.1136/hrt.2009.167098. Epub 2009 Apr 29.

Reference Type BACKGROUND
PMID: 19406736 (View on PubMed)

Henneman MM, Schuijf JD, van Werkhoven JM, Pundziute G, van der Wall EE, Jukema JW, Bax JJ. Multi-slice computed tomography coronary angiography for ruling out suspected coronary artery disease: what is the prevalence of a normal study in a general clinical population? Eur Heart J. 2008 Aug;29(16):2006-13. doi: 10.1093/eurheartj/ehn284. Epub 2008 Jun 23.

Reference Type BACKGROUND
PMID: 18573865 (View on PubMed)

DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988 Sep;44(3):837-45.

Reference Type BACKGROUND
PMID: 3203132 (View on PubMed)

Related Links

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http://www.cardiocentro.org

Fondazione Cardiocentro Ticino

http://www.hearttestlabs.com

Heart Test Laboratories Inc.

Other Identifiers

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HTL-01-11

Identifier Type: -

Identifier Source: org_study_id

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