Abstract

The objectives of this study were to evaluate the optimal body size variable, and to determine mathematical model that best fits echocardiographic measurements to body size in the equine species. One hundred fifty horses of various breeds, aged 1 week to 17 years, body weight (BW) 38-890 kg, and free from cardiac disease were used in this study. Based on their age (ie, younger or older than 2 years), animals were separated into two groups. In each horse, the BW, height at withers (HT), thoracic circumference (TC), and the body length were measured; the body surface area was calculated; and a standard two-dimensional and M-mode echocardiography was performed allowing classic cardiac measurements to be taken. Correlations between each echocardiographic measurement and each of the anthropometric variables were assessed via a Pearson's product-moment analysis and using linear, logarithmic, and power regression analysis in all animals and within the two groups. The dimensional, but not functional, echocardiographic measurements showed a close correlation with all body size variables, especially during growth. The relationship between cardiac measurements and body size was best described using power regression models with TC as the anthropometric variable, but the relationship was also very accurately described using BW, body surface area, or body length. In the equine species, dimensional echocardiographic reference values should be established using power regression equations on TC. Such a correction for body size could increase the diagnostic value of echocardiography in equine cardiology.

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