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bioRxiv · 10.1101/2021.04.15.439951

Echocardiographic mitral valve association with morphometric measurements in Cavalier King Charles Spaniels via Inverse Probability Weighting analysis

Abstract

Development and progression of myxomatous mitral valve disease (MMVD) in Cavalier King Charles Spaniels (CKCS) are difficult to predict. Identification at a young age of dogs with a morphotype associated with more severe mitral disease is desirable. The aims of this study were to: 1) describe the physical, morphometric, and echocardiographic features of MMVD affected Cavalier King Charles Spaniels (CKCS) in American College of Veterinary Internal Medicine (ACVIM) class B1; 2) evaluate the influence of morphometric physical measurements on murmur intensity, mitral valve prolapse (MVP), regurgitant jet size and indexed mitral valve and annulus measurements. Fifty-two MMVD affected CKCS in ACVIM class B1 were included. This is a prospective clinical cross-sectional study. Morphometric measurements, which included body, thorax, and the head sizing of each dog, have been investigated to establish the association with heart murmur intensity, valvular and annular echocardiographic measurements, MVP and regurgitant jet size using inverse probability weighting (IPW) analyses to adjust for confounding. The IPW analyses showed that when head length and nose length decreased, dogs had more severe regurgitant jet size. Furthermore, subjects with more pronounced head stop angle had thicker anterior mitral valve leaflets. A brachycephalic morphotype, with dogs more similar to King Charles Spaniel breed in cephalic morphology, is associated with a more severe regurgitant jet size and with valvular characteristics related to worse forms of MMVD.

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BibTeXRIS

BAGARDI, M., Ghilardi, S., Locatelli, C., Bionda, A., Polli, M., Bussadori, C. M., Colombo, F. M., Pazzagli, L., Brambilla, P. G.. 2021-04-15. Echocardiographic mitral valve association with morphometric measurements in Cavalier King Charles Spaniels via Inverse Probability Weighting analysis. https://doi.org/10.1101/2021.04.15.439951

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