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Lorenz Plot Analysis in Dogs with Sinus Rhythm and Tachyarrhythmias
Giovanni Romito1, Carlo Guglielmini2, Helen Poser2
1Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Bologna, Italy.
This study reveals distinct Lorenz plot patterns in dogs, with the double side-lobe pattern accurately identifying sinus rhythm with frequent premature ectopies. These reproducible patterns offer insights into canine cardiac arrhythmias.
Area of Science:
- Veterinary Cardiology
- Cardiovascular Physiology
- Data Visualization
Background:
- Heart rate variability (HRV) analysis is crucial for assessing cardiac health.
- The Lorenz plot (LP), a graphical HRV representation, remains understudied in canine cardiology.
- Understanding LP patterns can aid in diagnosing canine arrhythmias.
Purpose of the Study:
- To describe graphic features of Lorenz plots in dogs with sinus rhythm (SR) and tachyarrhythmias.
- To analyze the diagnostic utility of Lorenz plot pattern recognition in dogs.
- To establish repeatability and reproducibility of Lorenz plot pattern classification.
Main Methods:
- Retrospective analysis of 119 canine Holter recordings.
- Classification of cardiac rhythms: SR, SR with frequent premature ectopies (atrial, ventricular, or both), atrial fibrillation (AF), and AF with frequent VPCs.
- Qualitative and quantitative evaluation of Lorenz plots, classifying them into distinct patterns (LPPs).
Main Results:
- Ten distinct Lorenz plot patterns (LPPs) were identified.
- Excellent repeatability and reproducibility of LPP classification were achieved.
- The double side-lobe (DSL) pattern demonstrated high sensitivity (91.3%) and specificity (94.5%) for SR with frequent premature ectopies.
Conclusions:
- Distinct cardiac rhythms in dogs produce unique and reproducible Lorenz plot patterns.
- The double side-lobe pattern is a reliable indicator of sinus rhythm with frequent premature ectopies.
- While most canine LPPs are specific, they generally exhibit low sensitivity for diagnosing SR and tachyarrhythmias.
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