Non-invasive diagnosis of coronary artery disease using cardiogoniometry performed at rest

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

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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:

04 May 2014 23:18

PubMed ID:

18431698

Web of Science ID:

000255174600003

URI:

https://boris.unibe.ch/id/eprint/26985 (FactScience: 99359)

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