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Comparative Study
. 2020 Jun;31(6):1493-1506.
doi: 10.1111/jce.14518. Epub 2020 May 7.

Electrogram morphology discriminators in implantable cardioverter defibrillators: A comparative evaluation

Antonio Frontera  1   2 , Marc Strik  1   2   3 , Romain Eschalier  4 , Mauro Biffi  5 , Bruno Pereira  4 , Nicolas Welte  1 , Remi Chauvel  1 , Pierre Mondoly  6 , Julien Laborderie  7 , Jean-Paul Bernis  7 , Nicolas Clementy  8 , Sylvain Reuter  9 , Stéphane Garrigue  9 , Antoine Deplagne  10 , Kevin Vernooy  3   11 , Xavier Pillois  1   2 , Michel Haïssaguerre  1   2 , Remi Dubois  2 , Philippe Ritter  1   2 , Pierre Bordachar  1   2 , Sylvain Ploux  1   2
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Comparative Study

Electrogram morphology discriminators in implantable cardioverter defibrillators: A comparative evaluation

Antonio Frontera et al. J Cardiovasc Electrophysiol. 2020 Jun.

Abstract

Background: Morphology algorithms are currently recommended as a standalone discriminator in single-chamber implantable cardioverter defibrillators (ICDs). However, these proprietary algorithms differ in both design and nominal programming.

Objective: To compare three different algorithms with nominal versus advanced programming in their ability to discriminate between ventricular (VT) and supraventricular tachycardia (SVT).

Methods: In nine European centers, VT and SVTs were collected from Abbott, Boston Scientific, and Medtronic dual- and triple-chamber ICDs via their respective remote monitoring portals. Percentage morphology matches were recorded for selected episodes which were classified as VT or SVT by means of atrioventricular comparison. The sensitivity and related specificity of each manufacturer discriminator was determined at various values of template match percentage from receiving operating characteristics (ROC) curve analysis.

Results: A total of 534 episodes were retained for the analysis. In ROC analyses, Abbott Far Field MD (area under the curve [AUC]: 0.91; P < .001) and Boston Scientific RhythmID (AUC: 0.95; P < .001) show higher AUC than Medtronic Wavelet (AUC: 0.81; P < .001) when tested for their ability to discriminate VT from SVT. At nominal % match threshold all devices provided high sensitivity in VT identification, (91%, 100%, and 90%, respectively, for Abbott, Boston Scientific, and Medtronic) but contrasted specificities in SVT discrimination (85%, 41%, and 62%, respectively). Abbott and Medtronic's nominal thresholds were similar to the optimal thresholds. Optimization of the % match threshold improved the Boston Scientific specificity to 79% without compromising the sensitivity.

Conclusion: Proprietary morphology discriminators show important differences in their ability to discriminate SVT. How much this impact the overall discrimination process remains to be investigated.

Keywords: algorithm; arrhythmia; discrimination; implantable cardioverter defibrillator; morphology.

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REFERENCES

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