2015 ACVIM Forum Research Abstract Program

Multivariate analysis was used to subdivide the class C, using clinical data, echocardiographic, and Holter examinations of 15 dogs with MMVD. Through cluster analysis of the variables described were determined three different groups within class C. Three factors determined from the principal component analysis. The first factor (F1) contains information of 34% of the total variance (TV), which are related to the autonomic nervous system and the variance of the heart rate obtained by Holter-ECG; the second factor (F2) contains information of 16% of the TV and represents the chambers walls and heart function obtained from the echocardiography; the third factor (F3) includes the information of the 11% of the TV and corresponds to the inner diameter of the right ventricle obtained by echocardiography and the degree of heart murmur in the tricuspid focus during the physical examination.