Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/15235
Title: Use of discriminant analysis based on echocardiography for classification of congestive heart failure in dogs with myxomatous mitral valve disease
Other Titles: Utilização da análise discriminante baseada na ecocardiografia para classificação de insuficiência cardíaca congestiva em cães com degeneração mixomatosa da valva mitral
Keywords: Canine - Cardiac disease
Statistical model
Vena contracta
Ecocardiografia
Cachorros - Doenças cardíacas
Modelo estatístico
Ecocardiografia
Issue Date: Dec-2014
Publisher: Universidade Federal de Minas Gerais, Escola de Veterinária
Citation: SILVA, A. C. et al. Use of discriminant analysis based on echocardiography for classification of congestive heart failure in dogs with myxomatous mitral valve disease. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 66, n. 6, p. 1727-1734, 2014.
Abstract: 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.
URI: http://repositorio.ufla.br/jspui/handle/1/15235
Appears in Collections:DEX - Artigos publicados em periódicos



This item is licensed under a Creative Commons License Creative Commons