gms | German Medical Science

33. Internationale Konferenz für Elektrokardiographie

Internationale Konferenz für Elektrokardiographie

Heart Rate Variability Parameters Derived from Exercise ECG in the Detection of Coronary Artery Disease

Meeting Abstract

  • M. Virtanen - Ragnar Granit Institute, Tampere, Finland
  • corresponding author presenting/speaker J. Viik - Ragnar Granit Institute, Tampere, Finland
  • R. Lehtinen - Tampere University of Applied Sciences, Tampere, Finland
  • T. Nieminen - University of Tampere, Tampere, Finland
  • V. Turjanmaa - Tampere University Hospital FINCAVAS, Tampere, Finland
  • T. Lehtimäki - Tampere University Hospital FINCAVAS, Tampere, Finland
  • K. Niemelä - Tampere University Hospital FINCAVAS, Tampere, Finland
  • K. Nikus - Tampere University Hospital FINCAVAS, Tampere, Finland
  • M. Niemi - Tampere University Hospital FINCAVAS, Tampere, Finland
  • T. Kööbi - Tampere University Hospital FINCAVAS, Tampere, Finland
  • M. Kähönen - Tampere University Hospital FINCAVAS, Tampere, Finland

33rd International Congress on Electrocardiology. Cologne, 28.06.-01.07.2006. Düsseldorf, Köln: German Medical Science; 2007. Doc06ice018

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/ice2006/06ice018.shtml

Veröffentlicht: 8. Februar 2007

© 2007 Virtanen et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Question: Can the HRV methods using the exercise ECG measurement be exploited in the detection of coronary artery disease (CAD)?

Methods used: The study population consisted of 200 patients, 100 (78 male/22 female) with CAD verified by angiography (mean age 55+/-6, BMI 27.7+/-4.6, max load 150+/-41, max HR 133+/-12, 74 beta blocker users) and 100 (48/52) references (54+/-8, 26.1+/-4.1, 185+/-54, 164+/-12, none), who underwent a bicycle stress test with one minute workload increase. HRV parameters used were SDNN, Poincaré plot indices SD1 and SD2. Also the maximum ST-segment depression (STD) from the 12-lead ECG, excluding aVL, aVR and V1, was measured. Parameters were defined at rest, end of exercise (Expeak) and one minute recovery (Rec1). HRV parameters were determined in one minute segments in each phase and were also corrected by multiplying RR values by square of mean HR of the used segment, denoted cSDNN, cSD1 and cSD2. Overall diagnostic performance was evaluated by area under the ROC curve (AUC). Correlation with HR was evaluated with Pearson’s correlation coefficients.

Results: Table 1 [Tab. 1] presents AUCs for the parameters, correlation coefficients with HR and significance level. The AUCs for HR at rest, Expeak and Rec1 were 0.759, 0.907 and 0.907.

Conclusion: The overall diagnostic performances of HRV parameters in the detection of CAD seemed promising. This might partially be explained with difference in achieved HR and beta-blocker users in CAD group. Diagnostic value of HR corrected HRV parameters seemed to be limited to the resting ECG.