scholarly journals Heart rate variability and arrhythmias evaluated with Holter in dogs with degenerative mitral valve disease

2014 ◽  
Vol 66 (2) ◽  
pp. 425-432 ◽  
Author(s):  
M.S. Oliveira ◽  
R.A.L. Muzzi ◽  
R.B. Araújo ◽  
L.A.L. Muzzi ◽  
D.F. Ferreira ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Heart Rhythm ◽  
Valve Disease ◽  
Total Power ◽  
High Heart Rate ◽  
Parasympathetic Control

Cardiac diseases promote alterations in the autonomic control of the heart, leading to an increase in heart rate and, as a result, a decrease in heart rate variability (HRV).The aim of this study was to evaluate if the development of heart failure secondary to degenerative mitral valve disease (DMVD) concurs with changes in autonomic modulation of heart rhythm which are assessed by long electrocardiography examination (Holter). Dogs were evaluated by clinical examination and echocardiography in order to be categorized into the following groups: Control (healthy; n=6), DMVD (disease without heart failure; n=8), and DMVD heart failure (disease with heart failure; n=13). Arrhythmias and frequency domain HRV were determined by Holter. Diseased animals, when compared to healthy, had significantly lower total power, which indicates overall HRV. DMVD heart failure dogs also showed other disturbances such as high incidence of supraventricular arrhythmias, high heart rate, little amount of pauses (2.0s long between consecutive heartbeats), longer time in tachycardia, shorter time in bradycardia, low high frequency (parasympathetic control), and high low frequency (sympathetic and parasympathetic control) when compared to control (p<0.05). In DMVD dogs, Holter-derived variables changed with the development of heart failure.

Heart rate variability parameters of myxomatous mitral valve disease in dogs with and without heart failure obtained using 24-hour Holter electrocardiography

2012 ◽  
Vol 170 (24) ◽  
pp. 622-622 ◽  
Author(s):  
M. S. Oliveira ◽  
R. A. L. Muzzi ◽  
R. B. Araújo ◽  
L. A. L. Muzzi ◽  
D. F. Ferreira ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Valve Disease

Heart Rate, Heart Rate Variability, and Arrhythmias in Dogs with Myxomatous Mitral Valve Disease

2011 ◽  
Vol 26 (1) ◽  
pp. 76-84 ◽  
Author(s):  
C.E. Rasmussen ◽  
T. Falk ◽  
N.E. Zois ◽  
S.G. Moesgaard ◽  
J. Häggström ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Valve Disease

Short-term heart rate variability in dogs with sick sinus syndrome or chronic mitral valve disease as compared to healthy controls

2017 ◽  
Vol 20 (1) ◽  
pp. 167-172 ◽  
Author(s):  
Sz. Bogucki ◽  
A. Noszczyk-Nowak
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Standard Deviation ◽  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Sick Sinus Syndrome ◽  
Study Groups ◽  
Valve Disease ◽  
Healthy Controls ◽  
Short Term

Abstract Heart rate variability is an established risk factor for mortality in both healthy dogs and animals with heart failure. The aim of this study was to compare short-term heart rate variability (ST-HRV) parameters from 60-min electrocardiograms in dogs with sick sinus syndrome (SSS, n=20) or chronic mitral valve disease (CMVD, n=20) and healthy controls (n=50), and to verify the clinical application of ST-HRV analysis. The study groups differed significantly in terms of both time - and frequency- domain ST-HRV parameters. In the case of dogs with SSS and healthy controls, particularly evident differences pertained to HRV parameters linked directly to the variability of R-R intervals. Lower values of standard deviation of all R-R intervals (SDNN), standard deviation of the averaged R-R intervals for all 5-min segments (SDANN), mean of the standard deviations of all R-R intervals for all 5-min segments (SDNNI) and percentage of successive R-R intervals >50 ms (pNN50) corresponded to a decrease in parasympathetic regulation of heart rate in dogs with CMVD. These findings imply that ST-HRV may be useful for the identification of dogs with SSS and for detection of dysautonomia in animals with CMVD.

scholarly journals Heart rate variability and quality of life in dogs with mitral valve disease treated with metoprolol

2021 ◽  
Vol 43 ◽  
pp. e003020
Author(s):  
Tamyris Beluque ◽  
Aparecido Antonio Camacho ◽  
Roberto Navarrete Ampuero ◽  
Jaislane Bastos Braz ◽  
Murillo Daparé Kirnew ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Mitral Valve ◽  
Mitral Valve Disease ◽  
Valve Disease

scholarly journals Vasovagal tonus index in dog with myxomatous mitral valve disease

2017 ◽  
Vol 37 (10) ◽  
pp. 1181-1186 ◽  
Author(s):  
Bruna C. Brüler ◽  
Amália T. Giannico ◽  
Gustavo Dittrich ◽  
Marlos G. Sousa
Keyword(s):  
Internal Medicine ◽  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Mitral Valve ◽  
Cardiac Remodeling ◽  
Mitral Valve Disease ◽  
Valve Disease ◽  
Rr Intervals ◽  
Naturally Occurring

ABSTRACT: The vasovagal tonus index (VVTI) is a useful and assessable index, obtained from standard ECG recordings, that is used to estimate heart rate variability (HRV), and may provide valuable information regarding the likelihood of progression into congestive heart failure (CHF). In this paperwork, we investigated how the vasovagal tonus index (VVTI) behaves in dogs with naturally-occurring myxomatous mitral valve disease (MMVD) Electrocardiographic (ECG) recordings and echocardiographic data of 120 patients diagnosed with MMVD were reviewed. The VVTI was calculated from twenty consecutive RR intervals for each dog enrolled in the study. Lower VVTI values were found in MMVD patients in American College of Veterinary Internal Medicine (ACVIM) stage C compared with stages B1 and B2. Values were also lower in patients with severe cardiac remodeling. When a cut-off value of 6.66 is used, VVTI was able to discriminate MMVD patients in stage C from B1 and B2 dogs with a sensitivity of 70 per cent and a specificity of 77 per cent. MMVD dogs in which VVTI is lower than 6.66 are 30% more likely to develop congestive heart failure (CHF).

scholarly journals Respiratory-related heart rate variability in progressive experimental heart failure

2005 ◽  
Vol 289 (4) ◽  
pp. H1729-H1735 ◽  
Author(s):  
Sophie Motte ◽  
Myrielle Mathieu ◽  
Serge Brimioulle ◽  
Anne Pensis ◽  
Lynn Ray ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Left Ventricular ◽  
Right Atrial ◽  
Left Ventricular Ejection ◽  
Total Power ◽  
Progressive Heart Failure ◽  
Atrial Natriuretic

Heart failure is associated with autonomic imbalance, and this can be evaluated by a spectral analysis of heart rate variability. However, the time course of low-frequency (LF) and high-frequency (HF) heart rate variability changes, and their functional correlates during progression of the disease are not exactly known. Progressive heart failure was induced in 16 beagle dogs over a 7-wk period by rapid ventricular pacing. Spectral analysis of heart rate variability and respiration, echocardiography, hemodynamic measurements, plasma atrial natriuretic factor, and norepinephrine was obtained at baseline and every week, 30 min after pacing interruption. Progressive heart failure increased heart rate (from 91 ± 4 to 136 ± 5 beats/min; P < 0.001) and decreased absolute and normalized (percentage of total power) HF variability from week 1 and 2, respectively ( P < 0.01). Absolute LF variability did not change during the study until it disappeared in two dogs at week 7 ( P < 0.05). Normalized LF variability increased in moderate heart failure ( P < 0.01), leading to an increased LF-to-HF ratio ( P < 0.05), but decreased in severe heart failure ( P < 0.044; week 7 vs. week 5). Stepwise regression analysis revealed that among heart rate variables, absolute HF variability was closely associated with wedge pressure, right atrial and pulmonary arterial pressure, left ventricular ejection fraction and volume, ratio of maximal velocity of early (E) and atrial (A) mitral flow waves, left atrial diameter, plasma norepinephrine, and atrial natriuretic peptide (0.45 < r < 0.65, all P < 0.001). In tachycardia-induced heart failure, absolute HF heart rate variability is a more reliable indicator of cardiac dysfunction and neurohumoral activation than LF heart rate variability.

scholarly journals Use of discriminant analysis based on echocardiography for classification of congestive heart failure in dogs with myxomatous mitral valve disease

2014 ◽  
Vol 66 (6) ◽  
pp. 1727-1734
Author(s):  
A.C. Silva ◽  
R.A.L. Muzzi ◽  
L.A.L. Muzzi ◽  
D.F. Ferreira ◽  
G. Oberlender ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mitral Valve ◽  
Statistical Model ◽  
Surface Area ◽  
Mitral Valve Disease ◽  
Clinical Signs ◽  
Valve Disease ◽  
Aortic Diameter ◽  
Mathematical Tool

Mixomatous mitral valve disease (MMVD) is one of the most common cardiac abnormalities in dogs and humans that can lead to cardiac heart failure (CHF). Its diagnosis remains based on echocardiography and clinical signs. However, the early diagnose of MMVD can contribute to a better prognosis and avoid CHF. The aim of this study was to evaluate the clinical, radiographic and echocardiographic presence of CHF in dogs with MMVD in combination with a statistical model as a mathematical tool. For this purpose, dogs were divided into three groups (healthy; MMVD without CHF; and MMVD with CHF), according the clinical, radiographic and echocardiographic evaluation findings. Thus, linear discriminant functions were obtained by analyzing the variables weight, body surface area, aortic diameter, the ratio of the left atrium/aortic diameter, the ratio between the mitral regurgitation jet area and the left atrial area, vena contracta diameter and mitral valve proximal isovelocity surface area. Then, mathematical equations were established for each group of dogs. Statistical functions obtained in this study enabled to classify the dogs, regarding the presence of CHF with a probability of correct classification of 90.4%. Thus the statistical model demonstrated that it could be used as an auxiliary method for identifying CHF in dogs with MMVD.

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