Why the study?
Does vena contracta width measurement correlate with PISA-derived parameters for assessing mitral regurgitation severity in dogs?
Does vena contracta width measurement correlate with PISA-derived parameters for assessing mitral regurgitation severity in dogs?
Measurement of vena contracta width is an easy-to-employ tool that correlates significantly with PISA-derived parameters for quantifying mitral regurgitation severity in dogs.
May support simpler VCW use for canine MR assessment; leaves open need for prospective outcome validation.
BACKGROUND: Quantitative and semiquantitative methods have been proposed for the assessment of MR severity, and though all are associated with limitations. Measurement of vena contracta width (VCW) has been used in clinical practice. OBJECTIVE: To measure the VCW in dogs with different levels of MR severity. ANIMALS: Two hundred and seventy-nine dogs were classified according to 5 levels of MR severity. METHODS: This was a retrospective study. EROA and regurgitant volume calculated by the PISA method, were measured and indexed to BSA. Descriptive statistics were calculated for VCW and VCW index for all categories of MR severity. Spearman's rank correlation coefficients (ρs ) were calculated to compare the results of the different methods (VCW and VCW index vs RV PISA, RV PISA index, EROA, EROA index), and between VCW and VCW index versus MR severity. RESULTS: All Spearman's rank correlation coefficients were significant (P < .001). The median values of VCW resulted of 2.9 mm (IQR 3.4-2.5) and of 4.6 mm (IQR 5.4-4.1) in the groups previously classified as mild-to-moderate and moderate-to-severe, respectively. The median values of VCW index resulted of 4.4 mm/m(2) (IQR = 5.5-4.2) in mild-to-moderate MR and of 10.8 mm/m(2) (IQR = 12.8-9.4) in moderate-to-severe MR. CONCLUSION AND CLINICAL IMPORTANCE: This is not a validation study against any previously validated invasive gold standard, the VCW method has proved easy to employ and it might be an additional tool in quantifying disease severity that supports, rather than replace, data coming from other techniques in daily clinical practice and research.
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Marcello et al. (2014) studied this question.
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