Study Stopped
Poor enrollment due to insufficient study support.
Cardiogoniometry for Detecting Coronary Artery Disease by CT Angiography
1 other identifier
interventional
2
1 country
1
Brief Summary
Cardiogoniometry is a technique to process and evaluate vectorcardiography from regular ECG acquisitions. Vectorcardiography has a long tradition in cardiology for providing comprehensive information on myocardial function and integrity. In recent years, computer assisted analysis has allowed automated interpretation of vectorcardiography with promising results in comparison to standard ECG for identifying patients with coronary heart disease. This study aims to investigate the utility of cardiogoniometry for noninvasively identifying patients who are at risk from coronary heart disease.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2015
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2015
CompletedFirst Submitted
Initial submission to the registry
March 10, 2016
CompletedFirst Posted
Study publicly available on registry
April 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2019
CompletedResults Posted
Study results publicly available
February 25, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
June 26, 2020
CompletedJuly 9, 2020
June 1, 2020
4 years
March 10, 2016
January 10, 2020
June 26, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Accuracy of Identifying Patients With at Least One 50 Percent or Greater Coronary Artery Stenosis by CT Angiography
Area under curve (AUC) analysis is proposed to be used to determine the diagnostic accuracy of cardiogoniometry for detecting patients with coronary heart disease as defined by at least one 50% or greater stenosis on CT coronary angiography.
30 days from CGM analysis
Secondary Outcomes (5)
Accuracy of Identifying Patients With Any Coronary Atherosclerotic Disease by CT Angiography
30 days
Incidence of Death at Follow up
5 years after enrollment
Risk of Myocardial Infarction
5 years after enrollment
Risk of Revascularization at Follow up
5 year after enrollment
Risk of Hospitalization
5 years after enrollment
Study Arms (1)
Cardiogoniometry and ECG Assessment
OTHERThe same patient will undergo both advanced ECG assessment using cardiogoniometry and standard ECG
Interventions
ECG device which records comprehensive voltage potential data in the myocardium
Eligibility Criteria
You may qualify if:
- Patients age 18 or older who are referred for elective cardiac CT examination for evaluation of coronary artery disease
You may not qualify if:
- hemodynamic instability
- history of anaphylactic contrast reaction
- inability of following breath hold instructions
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Johns Hopkins Universitylead
- Enverdis Corp.collaborator
Study Sites (1)
Johns Hopkins Hospital
Baltimore, Maryland, 21287, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Armin Zadeh
- Organization
- Johns Hopkins University
Study Officials
- PRINCIPAL INVESTIGATOR
Armin A Zadeh, MD PhD MPH
Johns Hopkins University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 10, 2016
First Posted
April 1, 2016
Study Start
April 1, 2015
Primary Completion
April 1, 2019
Study Completion
June 26, 2020
Last Updated
July 9, 2020
Results First Posted
February 25, 2020
Record last verified: 2020-06