- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02579512
Non Invasive Extra-corporeal ECG Signal Analysis Algorithm( NID Algorithm) for Myocardial Ischemia
October 15, 2015 updated by: Taichung Veterans General Hospital
The NIA algorithm is similar to the traditional 12-lead ECG equipment.
By analyzing patient data, NIA algorithm provides more detailed results compared to traditional 12-lead ECG.
Patients with suspected coronary artery disease are conventionally diagnosed and treated by cardiac catheterization.
However, cardiac catheterization is invasive procedure.
Unless clinical diagnosis is evident before cardiac catheterization, a treadmill exercise test, a nuclear medicine myocardial perfusion test, or a multi-direction coronary CT angiogram is usually performed to increase the accuracy of diagnosis.
But these examinations are not accessible to all patients, and are time-consuming and costly.
Study Overview
Status
Unknown
Conditions
Intervention / Treatment
Detailed Description
In this project, the investigators hope to compare the data collected under this new technology of NIA algorithm with results from final diagnoses of cardiac catheterization.
As the NIA algorithm is a fast and less costly, if it provides more sensitivity and specificity than does exercise ECG, nuclear myocardial perfusion test, and high-resolution coronary CT angiogram, it will expedite diagnosis for patients with coronary artery disease.
Study Type
Observational
Enrollment (Anticipated)
500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yu-Tsung Cheng, M.D.
- Phone Number: 3141 886423592525
- Email: asphyxia747@hotmail.com
Study Contact Backup
- Name: Hsian-Min Chen, PhD
- Phone Number: 4427 886423592525
- Email: hsmin@vghtc.gov.tw
Study Locations
-
-
-
Taichung, Taiwan, 40705
- Recruiting
- Taichung Veterans General Hospital
-
Contact:
- Yu-Tsung Cheng, M.D.
- Phone Number: 3141 886423592525
- Email: asphyxia747@hotmail.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
20 years to 95 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
myocardial Ischemia
Description
Inclusion Criteria:
- patient with acute coronary syndrome who accepted percutaneous coronary intervention
Exclusion Criteria:
- no percutaneous coronary intervention
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Extra-corporeal ECG Signal Analysis
|
The NIA algorithm is similar to the traditional 12-lead ECG equipment.
By analyzing patient data, NIA algorithm provides more detailed results compared to traditional 12-lead ECG.
Patients with suspected coronary artery disease are conventionally diagnosed and treated by cardiac catheterization.
However, cardiac catheterization is invasive procedure.
Unless clinical diagnosis is evident before cardiac catheterization, a treadmill exercise test, a nuclear medicine myocardial perfusion test, or a multi-direction coronary CT angiogram is usually performed to increase the accuracy of diagnosis.
But these examinations are not accessible to all patients, and are time-consuming and costly.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Major Adverse Cardiac Events (MACE)
Time Frame: within the first 180 days after PCI (percutaneous coronary intervention)
|
MACE including de novo lesion , intra-stent stenosis, cardiac death and re-myocardial infarction
|
within the first 180 days after PCI (percutaneous coronary intervention)
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Lipton JA, Warren SG, Broce M, Abboud S, Beker A, Sornmo L, Lilly DR, Maynard C, Lucas BD Jr, Wagner GS. High-frequency QRS electrocardiogram analysis during exercise stress testing for detecting ischemia. Int J Cardiol. 2008 Feb 29;124(2):198-203. doi: 10.1016/j.ijcard.2007.02.002. Epub 2007 Apr 25.
- Sharir T, Merzon K, Kruchin I, Bojko A, Toledo E, Asman A, Chouraqui P. Use of electrocardiographic depolarization abnormalities for detection of stress-induced ischemia as defined by myocardial perfusion imaging. Am J Cardiol. 2012 Mar 1;109(5):642-50. doi: 10.1016/j.amjcard.2011.10.022. Epub 2011 Dec 9.
- Choi JO, Chang SA, Park SJ, Lee SC, Park SW. Improved detection of ischemic heart disease by combining high-frequency electrocardiogram analysis with exercise stress echocardiography. Korean Circ J. 2013 Oct;43(10):674-80. doi: 10.4070/kcj.2013.43.10.674. Epub 2013 Oct 30.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
June 1, 2015
Primary Completion (Anticipated)
May 1, 2016
Study Registration Dates
First Submitted
July 13, 2015
First Submitted That Met QC Criteria
October 15, 2015
First Posted (Estimate)
October 19, 2015
Study Record Updates
Last Update Posted (Estimate)
October 19, 2015
Last Update Submitted That Met QC Criteria
October 15, 2015
Last Verified
September 1, 2015
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IGA1041203
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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