Schüpbach, W M Michael; Emese, Bernhard; Loretan, Patrick; Mallet, Alain; Duru, Firat; Sanz, Ernst; Meier, Bernhard (2008). Non-invasive diagnosis of coronary artery disease using cardiogoniometry performed at rest. Swiss medical weekly, 138(15-16), pp. 230-8. Muttenz: EMH Schweizerischer Ärzteverlag
Full text not available from this repository. (Request a copy)PRINCIPLES: Cardiogoniometry is a non-invasive technique for quantitative three-dimensional vectorial analysis of myocardial depolarization and repolarization. We describe a method of surface electrophysiological cardiac assessment using cardiogoniometry performed at rest to detect variables helpful in identifying coronary artery disease. METHODS: Cardiogoniometry was performed in 793 patients prior to diagnostic coronary angiography. Using 13 variables in men and 10 in women, values from 461 patients were retrospectively analyzed to obtain a diagnostic score that would identify patients having coronary artery disease. This score was then prospectively validated on 332 patients. RESULTS: Cardiogoniometry showed a prospective diagnostic sensitivity of 64%, and a specificity of 82%. ECG diagnostic sensitivity was significantly lower, with 53% and a similar specificity of 75%. CONCLUSIONS: Cardiogoniometry is a new, noninvasive, quantitative electrodiagnostic technique which is helpful in identifying patients with coronary artery disease. It can easily be performed at rest and delivers an accurate, automated diagnostic score.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology |
UniBE Contributor: |
Meier, Bernhard |
ISSN: |
1424-7860 |
ISBN: |
18431698 |
Publisher: |
EMH Schweizerischer Ärzteverlag |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 15:02 |
Last Modified: |
05 Dec 2022 14:19 |
PubMed ID: |
18431698 |
Web of Science ID: |
000255174600003 |
URI: |
https://boris.unibe.ch/id/eprint/26985 (FactScience: 99359) |
Actions (login required)
 |
Edit item |