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Aortic stenosis (AS) and pulmonic stenosis (PS) are two of the most common canine congenital heart diseases (CHD), with a high relative risk for Newfoundland dogs to develop inherited subvalvular AS. For this reason, a cardiovascular screening program has been set up by the French Newfoundland kennel club in order to manage mattings and reduce AS prevalence. The records of untreated and non-anesthetized adult Newfoundland dogs screened between 2010 and 2023 were retrospectively reviewed. All dogs underwent physical examination and standard transthoracic echocardiography with concomitant ECG tracing. All examinations were reviewed by one single board-certified specialist in cardiology. A total of 921 dogs were screened during the study period (female:male sex ratio = 1.94, median age [IQR] = 1.9 years [1.6-2.7], body weight = 55.0 kg [50-60]). For most dogs (90.6% for AS and 91% PS), a single examination was required to obtain a definitive cardiac status, although most operators (122/133 = 91.7%) were non-specialist general practitioners. Out of the 921 screened dogs, 913/921 (99.1%) and 919/921 (99.8%) were respectively free of AS and PS, with no AS and PS detection during the last 3 years of the program. The inbreeding coefficient, which was assessed from the pedigree analysis of all screened dogs except one, was not significantly different between dogs with either AS (0.59%; P = 0.86) or PS (0.39%; P = 0.72) and those without any arterial stenosis (0.39%). This 14-year cardiovascular screening program has experienced a strong involvement of veterinarians, breeders, and owners throughout France. Unlike reports from other European and North American countries, this program suggests the low and decreasing prevalence of both AS and PS in the Newfoundland breed in France.

Background Subaortic stenosis (SAS) is a common congenital heart disease in Boxers. Doppler‐derived aortic peak velocity (AoPV) is a diagnostic criterion for the disease. Objectives To investigate the influence of emotional stress during echocardiographic examination on AoPV in normal and SAS‐affected Boxers. To evaluate the effects of aortic root diameters on AoPV in normal Boxers. Dogs Two hundred and fifteen normal and 19 SAS‐affected Boxers. Methods The AoPV was recorded at the beginning of echocardiographic examination (T0), and when the emotional stress of the dog was assumed to decrease based on behavioral parameters and heart rate (T1). AoPV0–AoPV1 was calculated. In normal dogs, stroke volume index was calculated at T0 and T1. Aortic root diameters were measured and their relationship with AoPV and AoPV0–AoPV1 was evaluated. Results In normal dogs, AoPV was higher at T0 (median, 1.95 m/s; range, 1.60–2.50 m/s) than at T1 (median, 1.76 m/s; range, 1.40–2.20 m/s; P < .0001; reduction 9.2%). The stroke volume index at T0 also was greater than at T1 (P < .0001). Weak negative correlations were detected between aortic root size and aortic velocities. In SAS‐affected dogs, AoPV0 was higher than AoPV1 (P < .0001; reduction 7.3%). Conclusion and Clinical Importance Aortic peak velocity was affected by emotional stress during echocardiographic examination both in SAS‐affected and normal Boxers. In normal Boxers, aortic root size weakly affected AoPVs, but did not affect AoPV0–AoPV1. Stroke volume seems to play a major role in stress‐related AoPV increases in normal Boxers. Emotional stress should be taken into account when screening for SAS in the Boxer breed.

The study has focused on the retrospective analysis of cases of coexisting congenital aortic stenosis (AS) and pulmonary artery stenosis (PS) in dogs. The research included 5463 dogs which were referred for cardiological examination (including clinical examination, ECG and echocardiography) between 2004 and 2014. Aortic stenosis and PS stenosis were detected in 31 dogs. This complex defect was the most commonly diagnosed in Boxers - 7 dogs, other breeds were represented by: 4 cross-breed dogs, 2 Bichon Maltais, 3 Miniature Pinschers, 2 Bernese Mountain Dogs, 2 French Bulldogs, and individuals of following breeds: Bichon Frise, Bull Terrier, Czech Wolfdog, German Shepherd, Hairless Chinese Crested Dog, Miniature Schnauzer, Pug, Rottweiler, Samoyed, West Highland White Terrier and Yorkshire Terrier. In all the dogs, the murmurs could be heard, graded from 2 to 5 (on a scale of 1-6). Besides, in 9 cases other congenital defects were diagnosed: patent ductus arteriosus, mitral valve dysplasia, pulmonary or aortic valve regurgitation, tricuspid valve dysplasia, ventricular or atrial septal defect. The majority of the dogs suffered from pulmonary valvular stenosis (1 dog had supravalvular pulmonary artery stenosis) and subvalvular aortic stenosis (2 dogs had valvular aortic stenosis). Conclusions and clinical relevance - co-occurrence of AS and PS is the most common complex congenital heart defect. Boxer breed was predisposed to this complex defect. It was found that coexisting AS and PS is more common in male dogs and the degree of PS and AS was mostly similar.

Heart rate turbulence (HRT) is a new electrocardiographic parameter used in human medicine to predict the possibility of death in patients with cardiac diseases. There is no information about HRT in healthy dogs and those with cardiac diseases. The aim of the present study was to compare the HRT in healthy Boxers dogs with Boxers with mild and moderate subaortic stenosis (SAS), to disclose the relationship between HRT and specific echocardiographic parameters and to evaluate if HRT can be used as a prognostic value in dogs with aortic stenosis. The study revealed significantly lower values of turbulence onset (TO) and turbulence slope (TS) HRT dogs with SAS (TO = -0.76 ± 2.6, TS = 7.1 ± 3.21) in compared with healthy dogs (TO = -7.45 ± 9.72, TS = 14.33 ± 8.76). TO values correlated with the left ventricular mass (LVM)/body mass factor (r = 0,32; p = 0.048). Based on the results obtained it can be stated that dogs with SAS have a compromised baroreceptor response, which can influence the mortality of the animals with described cardiac defect.

The prevalence and severity of cardiac murmurs consistent with subclinical or clinically detectable aortic stenosis among purebred boxer dogs in Norway and Sweden were evaluated. Two hundred and thirty‐one boxers, randomly selected or investigated at dog shows, were examined by phonocardiography by two veterinarians and classified on the basis of the characteristics of their murmurs into categories 0 to 4. No murmur was detected in 23 per cent of the dogs, murmurs classified as category 1 were diagnosed in 25 per cent of the dogs, as category 2 in 46 per cent, as category 3 in 7 per cent cent, and two dogs had category 4 murmurs. In 55 per cent of the dogs, primarily those with very soft murmurs, there was some variation in the intensity of the murmur from beat to beat. The prevalence of cardiac murmurs among Norwegian and Swedish boxers was high and similar to the prevalence reported in Great Britain.

There are no rigorously confirmed effective medical therapies for calcific aortic stenosis. Hypercholesterolemic Ldlr (-/-) Apob (100/100) mice develop calcific aortic stenosis and valvular cardiomyopathy in old age. Osteoprotegerin (OPG) modulates calcification in bone and blood vessels, but its effect on valve calcification and valve function is not known. To determine the impact of pharmacologic treatment with OPG upon aortic valve calcification and valve function in aortic stenosis-prone hypercholesterolemic Ldlr (-/-) Apob (100/100) mice. Young Ldlr (-/-) Apob (100/100) mice (age 2 months) were fed a Western diet and received exogenous OPG or vehicle (N = 12 each) 3 times per week, until age 8 months. After echocardiographic evaluation of valve function, the aortic valve was evaluated histologically. Older Ldlr (-/-) Apob (100/100) mice were fed a Western diet beginning at age 2 months. OPG or vehicle (N = 12 each) was administered from 6 to 12 months of age, followed by echocardiographic evaluation of valve function, followed by histologic evaluation. In Young Ldlr (-/-) Apob (100/100) mice, OPG significantly attenuated osteogenic transformation in the aortic valve, but did not affect lipid accumulation. In Older Ldlr (-/-) Apob (100/100) mice, OPG attenuated accumulation of the osteoblast-specific matrix protein osteocalcin by ∼80%, and attenuated aortic valve calcification by ∼ 70%. OPG also attenuated impairment of aortic valve function. OPG attenuates pro-calcific processes in the aortic valve, and protects against impairment of aortic valve function in hypercholesterolemic aortic stenosis-prone Ldlr (-/-) Apob (100/100) mice.

The aims of this study were to investigate the role and relative importance of auscultation and echocardiography traits as risk factors for the diagnosis of subaortic (SubAS) and pulmonic (PS) stenosis and to estimate the heritability (h2) of cardiac measurements taken through echocardiography for a random sample of Italian Boxer dogs. The data were cardiovascular examination results of 1,283 Italian Boxer dogs (686 females and 597 males) enrolled in the national screening program for heart defects arranged by the Italian Boxer Club. Examinations were performed during a 6-yr period by a group of 7 veterinary cardiologists following a standard protocol. Occurrence and severity of SubAS and PS were diagnosed, taking into account clinical and echocardiography findings such as the grade of cardiac murmur, direct ultrasound imaging of the anatomic obstructive lesions, and values of aortic or pulmonary blood flow velocities. A Bayesian logistic regression analysis was performed to identify clinical and echocardiography variables related to SubAS and PS diagnosis. Estimation of variance components for clinical and echocardiography traits was performed using a mixed linear animal model, Bayesian procedures, and the Gibbs sampler. Prevalence of SubAS (PS) was 8.4% (2.2) and 10.7% (6.4) for female and male dogs, respectively. Cardiac murmur, peak velocities, and annulus areas behaved as risk factors for SubAS and PS. The risk of a positive diagnosis for SubAS was 3 times greater for dogs with aortic annulus area <2.1 cm2 relative to dogs with areas >2.37 cm2, 84 times greater for dogs showing aortic peak velocities >2.19 m/s relative to dogs with peak velocities <1.97 m/s, and 41 times greater for dogs with moderate to severe murmur grades relative to dogs with absent murmur. Similar results were obtained for PS. The estimated h2 for the occurrence of cardiac defects was 23.3% for SubAS and 8.6% for PS. Echocardiography and cardiac murmur grades exhibited moderate h2 estimates and exploitable additive genetic variation. The estimated h2 was 36, 24, and 20% for aortic annulus area, aortic peak velocity, and cardiac murmur score, respectively. For the area of the pulmonary annulus and peak pulmonary velocity, the estimated h2 were smaller, ranging from 9.5 to 12.8%. These measures are candidate indicator traits that might be effectively used in dog breeding to reduce the prevalence and severity of cardiac defects.

Background The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise. Objectives Assess if a machine‐learning algorithm can be trained to accurately detect and grade heart murmurs in dogs and detect cardiac disease in electronic stethoscope recordings. Animals Dogs (n = 756) with and without cardiac disease attending referral centers in the United Kingdom. Methods All dogs received full physical and echocardiographic examinations by a cardiologist to grade any murmurs and identify cardiac disease. A recurrent neural network algorithm, originally trained for heart murmur detection in humans, was fine‐tuned on a subset of the dog data to predict the cardiologist's murmur grade from the audio recordings. Results The algorithm detected murmurs of any grade with a sensitivity of 87.9% (95% confidence interval [CI], 83.8%‐92.1%) and a specificity of 81.7% (95% CI, 72.8%‐89.0%). The predicted grade exactly matched the cardiologist's grade in 57.0% of recordings (95% CI, 52.8%‐61.0%). The algorithm's prediction of loud or thrilling murmurs effectively differentiated between stage B1 and B2 preclinical MMVD (area under the curve [AUC], 0.861; 95% CI, 0.791‐0.922), with a sensitivity of 81.4% (95% CI, 68.3%‐93.3%) and a specificity of 73.9% (95% CI, 61.5%‐84.9%). Conclusion and Clinical Importance A machine‐learning algorithm trained on humans can be successfully adapted to grade heart murmurs in dogs caused by common cardiac diseases, and assist in differentiating preclinical MMVD. The model is a promising tool to enable accurate, low‐cost screening in primary care.