Regurgitant Fraction Measured by Using the Proximal Isovelocity Surface Area Method in Dogs with Chronic Myxomatous Mitral Valve Disease

2003 ◽  
Vol 17 (1) ◽  
pp. 84-88 ◽  
Author(s):  
Mark D. Kittleson ◽  
William A. Brown
Keyword(s):  
Mitral Valve ◽  
Surface Area ◽  
Mitral Valve Disease ◽  
Valve Disease ◽  
Regurgitant Fraction ◽  
Area Method ◽  
Proximal Isovelocity Surface Area

scholarly journals Use of discriminant analysis based on echocardiography for classification of congestive heart failure in dogs with myxomatous mitral valve disease

2014 ◽  
Vol 66 (6) ◽  
pp. 1727-1734
Author(s):  
A.C. Silva ◽  
R.A.L. Muzzi ◽  
L.A.L. Muzzi ◽  
D.F. Ferreira ◽  
G. Oberlender ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mitral Valve ◽  
Statistical Model ◽  
Surface Area ◽  
Mitral Valve Disease ◽  
Clinical Signs ◽  
Valve Disease ◽  
Aortic Diameter ◽  
Mathematical Tool

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.

Comparison of Proximal Isovelocity Surface Area Method and Pressure Half Time Method for Evaluation of Mitral Valve Area in Patients Undergoing Balloon Mitral Valvotomy

2005 ◽  
Vol 22 (9) ◽  
pp. 707-712 ◽  
Author(s):  
Thottuvelil Narayanan Sunil Roy ◽  
Mangalth Narayanan Krishnan ◽  
Cherian Koshy ◽  
Chakanalil Govindan Sajeev ◽  
Johnson Francis ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Surface Area ◽  
Half Time ◽  
Area Method ◽  
Proximal Isovelocity Surface Area ◽  
Mitral Valve Area ◽  
Mitral Valvotomy ◽  
Valve Area

Application of Proximal Isovelocity Surface Area Method to Determine Prosthetic Mitral Valve Area

1998 ◽  
Vol 11 (11) ◽  
pp. 1056-1063 ◽  
Author(s):  
Muzaffer Degertekin ◽  
Murat Gençbay ◽  
Yelda Başaran ◽  
İbrahim Duran ◽  
Hüseyın Yilmaz ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Surface Area ◽  
Area Method ◽  
Proximal Isovelocity Surface Area ◽  
Mitral Valve Area ◽  
Prosthetic Mitral Valve ◽  
Valve Area
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