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Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution

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Abstract

Cardiogoniometry (CGM), a spatiotemporal electrocardiologic 5-lead method with automated analysis, may be useful in primary healthcare for detecting coronary artery disease (CAD) at rest. Our aim was to systematically develop a stenosis-specific parameter set for global CAD detection. In 793 consecutively admitted patients with presumed non-acute CAD, CGM data were collected prior to elective coronary angiography and analyzed retrospectively. 658 patients fulfilled the inclusion criteria, 405 had CAD verified by coronary angiography; the 253 patients with normal coronary angiograms served as the non-CAD controls. Study patients—matched for age, BMI, and gender—were angiographically assigned to 8 stenosis-specific CAD categories or to the controls. One CGM parameter possessing significance (P < .05) and the best diagnostic accuracy was matched to one CAD category. The area under the ROC curve was .80 (global CAD versus controls). A set containing 8 stenosis-specific CGM parameters described variability of R vectors and R-T angles, spatial position and potential distribution of R/T vectors, and ST/T segment alterations. Our parameter set systematically combines CAD categories into an algorithm that detects CAD globally. Prospective validation in clinical studies is ongoing.

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Authors and Affiliations

  1. Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Eduard-Wallnoefer-Zentrum 1, 6060, Hall, Austria

    Thomas Huebner & Roland Pilgram

  2. Department of Cardiology, University Hospital—Inselspital, Bern, Switzerland

    W. M. Michael Schuepbach, Ernst Sanz & Bernhard Meier

  3. Centre d’Investigation Clinique, CHU Pitié-Salpêtrière, Paris, France

    W. M. Michael Schuepbach

  4. Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Jena, Germany

    Andrea Seeck & Andreas Voss

Authors
  1. Thomas Huebner
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  2. W. M. Michael Schuepbach
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  3. Andrea Seeck
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  4. Ernst Sanz
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  5. Bernhard Meier
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  6. Andreas Voss
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  7. Roland Pilgram
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Correspondence to Thomas Huebner.

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Huebner, T., Michael Schuepbach, W.M., Seeck, A. et al. Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution. Med Biol Eng Comput 48, 435–446 (2010). https://doi.org/10.1007/s11517-010-0594-1

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  • DOI: https://doi.org/10.1007/s11517-010-0594-1

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