Header

UZH-Logo

Maintenance Infos

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


Schuepbach, W M M; Emese, B; Loretan, P; Mallet, A; Duru, F; Sanz, E; Meier, B (2008). Non-invasive diagnosis of coronary artery disease using cardiogoniometry performed at rest. Swiss Medical Weekly, 138(15-16):230-238.

Abstract

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.

Abstract

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.

Statistics

Citations

Dimensions.ai Metrics
9 citations in Web of Science®
15 citations in Scopus®
18 citations in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

120 downloads since deposited on 28 Jan 2009
22 downloads since 12 months
Detailed statistics

Additional indexing

Contributors:Dep. of cardiology, University Hospital, Inselspital, CH-3010 Bern, Switzerland, Department of cardiology, University hospital of Zurich and Center for Integrative Human Physiology, Zurich, Switzerland, Medical Clinic, Hospital Bern, Tiefenau, Tiefenaustrasse, CH-3004 Bern, Switzerland, Dep. of Biostatistics and Medical Information, Pitié-Salpetriere Medical University, Paris, France
Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Cardiology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:19 April 2008
Deposited On:28 Jan 2009 15:54
Last Modified:18 Feb 2018 10:40
Publisher:EMH Swiss Medical Publishers
ISSN:0036-7672
Additional Information:Free full text article
OA Status:Gold
Official URL:http://www.smw.ch/docs/pdf200x/2008/15/smw-12040.pdf
Related URLs:http://www.smw.ch/dfe/set_archiv.asp?target=2008/15/smw-12040 (Publisher)
http://www.smw.ch/dfe/set_archiv.asp (Publisher)
PubMed ID:18431698

Download

Download PDF  'Non-invasive diagnosis of coronary artery disease using cardiogoniometry performed at rest'.
Preview
Filetype: PDF
Size: 1MB