Lorenz Plot Analysis in Dogs with Sinus Rhythm and Tachyarrhythmias.

Giovanni Romito,Carlo Guglielmini,Marco Baron Toaldo,Helen Poser

doi:10.3390/ani11061645

Giovanni Romito, Carlo Guglielmini + Show 2 more

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https://doi.org/10.3390/ani11061645

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Abstract

Simple SummaryThe Lorenz plot (LP) is a geometrical method to assess the dynamics of heart rate variability. It consists of a two-dimensional Cartesian coordinate system derived from electrocardiographic monitoring, in which each recorded R-R interval is plotted as a function of the previous R-R interval, and the values of each pair of successive R-R interval define a dot in the plot. The resultant clusters of dots can be evaluated quantitatively and qualitatively, and categorized into distinct geometrical patterns. In humans, several studies have demonstrated that the analysis of LP patterns (LPPs) has the potential to speed-up and improve the accuracy of arrhythmia detection and differentiation, especially in patients with tachyarrhythmias. As data on LP analysis are limited in dogs, this study describes the graphic features of LP derived from Holter recordings obtained in dogs with sinus rhythm and tachyarrhythmias, and analyzes the usefulness of LPP recognition in this species. We sought to evaluate if distinct cardiac rhythms imprint distinct and reproducible LPPs in dogs, as previously described in humans, and if each LLP can be used as a sensitive and specific indicator of a particular cardiac rhythm in this species.The Lorenz plot (LP), a graphical representation of heart rate variability, has been poorly studied in dogs to date. The present study aimed to describe the graphic features of LP in dogs with sinus rhythm (SR) and tachyarrhythmias, and to analyze the usefulness of its pattern recognition. One hundred and nineteen canine Holter recordings were retrospectively evaluated. Cardiac rhythms were classified as: SR; SR with frequent (>100) premature ectopies (atrial, SR-APCs; ventricular, SR-VPCs; atrial and ventricular, SR-APCs-VPCs); atrial fibrillation (AF); and AF with frequent VPCs (AF-VPCs). Lorenz plots were studied qualitatively and quantitatively, and classified by distinct LP patterns (LPPs). Repeatability and reproducibility of LPP classification and diagnostic value were determined. Recordings included: 48 SR, 9 SR-APCs, 35 SR-VPCs, 5 SR-APCs-VPCs, 4 AF, and 18 AF-VPCs. Ten LPPs were identified: comet (n = 12), torpedo (n = 3), Y-shaped (n = 6), diamond (n = 10), diamond with a central silent zone (n = 17), double side-lobe (DSL) (n = 47), triple side-lobe (n = 1), quadruple side-lobe (n = 2), fan (n = 18), and fan with DSL (n = 3). Repeatability and reproducibility of LPP classification were excellent. The DSL pattern was both highly sensitive (91.3%) and specific (94.5%) for SR with frequent premature ectopies, either APCs, or VPCs, or both. The remaining LPPs had lower diagnostic value (high specificity but low sensitivity). Distinct rhythms imprint distinct and reproducible LPPs in dogs. The majority of canine LPPs are specific but insensitive indicators of SR and tachyarrhythmias.

Highlights

A variety of Holter software algorithms have emerged in the last decades to speedup rhythm analysis and simplify the interpretation of complex cardiac rhythms
For the purpose of this study, Holter recordings obtained from dogs with atrial fibrillation (AF) were included only if this tachyarrhythmia was observed for the entire duration of the monitoring
The study population included 119 Holter recordings from 102 client-owned dogs, with 11 animals undergoing more than one Holter monitoring

Summary

Introduction

A variety of Holter software algorithms have emerged in the last decades to speedup rhythm analysis and simplify the interpretation of complex cardiac rhythms. Lorenz plots (LP), known as Poincaré plots or scatterplots, provide visual representation of oscillations in the period between consecutive heartbeats, by plotting each R-R interval against the one in a two-dimensional Cartesian coordinate system and depicting it as a dot. In this way, recorded beats are organized into clusters of dots with particular shapes, sizes, and positions according to the R-R interval fluctuations and the underlying cardiac rhythm [1,2]. Only a few studies have described the graphic features of LP in dogs with and without arrhythmias [3,4,5,6,7], and the only study aimed at characterizing the LP patterns in arrhythmic dogs evaluated LPs generated from

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