Predictive model for the detection of pulmonary hypertension in dogs with
myxomatous mitral valve disease |
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Authors: | Shoma MIKAWA Yuichi MIYAGAWA Noriko TODA Yoshinori TOMINAGA Naoyuki TAKEMURA |
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Institution: | 1)Laboratory of Veterinary Internal Medicine II, School of Veterinary Medicine, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, 1–7–1 Kyonan-cho, Musashino-shi, Tokyo 180–8602, Japan |
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Abstract: | Pulmonary hypertension (PH) often occurs due to a left heart disease, such as
myxomatous mitral valve disease (MMVD), in dogs and is diagnosed using Doppler
echocardiography and estimated pulmonary arterial pressure. Diagnosis of PH in dogs
requires expertise in echocardiography: however, the examination for PH is difficult to
perform in a clinical setting. Thus, simple and reliable methods are required for the
diagnosis of PH in dogs. The purpose of this study was to develop models using multiple
logistic regression analysis to detect PH due to left heart disease in dogs with MMVD
without echocardiography. The medical records of dogs with MMVD were retrospectively
reviewed, and 81 dogs were included in this study and classified into PH and non-PH
groups. Bivariate analysis was performed to compare all parameters between the groups, and
variables with P values of <0.25 in bivariate analysis were included
in multiple logistic regression analysis to develop models for the detection of PH. In
multiple logistic regression analysis, the model included a vertebral heart scale short
axis of >5.2 v, and a length of sternal contact of >3.3 v was considered suitable
for the detection of PH. The predictive accuracy of this model (85.9%) was judged
statistically adequate, and therefore, this model may be useful to screen for PH due to
left heart disease in dogs with MMVD without echocardiography. |
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Keywords: | canine multiple logistic regression analysis myxomatous mitral valve disease pulmonary hypertension |
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