Use of aVR and Jastrzębski algorithms in the classification of wide complex tachycardia in dogs – a preliminary study

Open access

Abstract

Introduction: Ventricular rhythm disturbances are a common pathology in human and veterinary medicine. In humans, the algorithmic approach is used to differentiate wide QRS complex tachycardia. The most commonly used are the aVR and Brugada algorithms as well as the ventricular tachycardia (VT) score developed by Jastrzębski and coworkers. In veterinary medicine, no such algorithms are available and the only parameter used to describe VT abnormalities is the duration of the QRS complexes. The aim of this analysis was determining whether human medicine algorithms for VT are applicable in veterinary medicine to differentiate wide QRS complex tachycardia in dogs.

Material and Methods: A retrospective analysis was performed on 11 dogs of both sexes and various breeds and age diagnosed with VT. The diagnosis was based on ambulatory ECG, further established based on the reaction to lidocaine or adenosine or an invasive electrophysiological study.

Results: Of the 11 tracings passed through the aVR algorithm, 10 met the VT criteria. The most common criterion was the Vi/Vt ratio (8 out of 11 tracings). Based on the VT score, seven out of eight dogs had a high probability of VT.

Conclusion: Retrospective analysis of ECGs by aVR and VT score indicates that the applied algorithms may be useful in differentiating wide QRS complex tachycardia as a quick, easy, and non-invasive alternative to cardiac electrophysiology.

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Journal of Veterinary Research

formerly Bulletin of the Veterinary Institute in Pulawy

Journal Information


IMPACT FACTOR J Vet Res 2017: 0.811

CiteScore 2017: 0.68

SCImago Journal Rank (SJR) 2017: 0.29
Source Normalized Impact per Paper (SNIP) 2017: 0.484

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