Prospective study of disease progression of chronic degenerative mitral disease in dogs

• Main Authors: Shih-Kai Wang, 王師凱
• Other Authors: ShiunL-Long Lin
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/48911943631416268193

碩士 === 國立中興大學 === 獸醫學系暨研究所 === 101 === Mitral regurgitation (MR) attributable to chronic mitral valve insufficiency (CMVI), is the most common heart disease in dogs. Previously reported risk factors in dogs for progression of disease include age, gender, intensity of heart murmur, degree of valve prolapse, severity of valve lesions, and the degree of mitral valve regurgitation. However, these studies have generally been conducted on specific breeds such as Dachshund or Cavalier King Charles; the progression of disease and prognostic data of the breed which common in Taiwan are thus not available. The aims of the present study were to estimate the prevalence rate and the development of disease in dogs with varying severities of MR. To estimate the prevalent rate in dogs with mitral regurgitation, five thousand three hundred and eighty-five medical records were censored. And the complete records of physical exam, echocardiographic value and survival time were available in one hundred and ninety-six dogs. Fifty six percentages of heart cases were diagnosed MR(215/381). Shar pei(22.6) had highest MR prevalent rate compared with Beagle, followed by Cocker Spaniel(9.1) and Maltese(3.1). The age, breeds, and gender were analyzed by logistic regression, and the results showed that older dogs and the breeds of Pomeranian, Maltese, and Chihuahua were higher risk of having MR. The echocardiographic values revealed that the ration of left atrium diameter to aorta diameter (LA/Ao, slope=2.42 %/month) in more advanced MR was more easily observed parameters than others. The more important risk factors associated with survival rate analyzed by logistic regression were heart failure system of AHA/ACC and echocardiographic parameter of fraction shortening (FS). Relevant information obtained could be applied to understand and prevent the heart disease.