Observed and expected reliability of echocardiographic volumetric methods and critical change values for quantification of mitral regurgitant fraction in dogs

观察和预期超声心动图容积法在犬二尖瓣反流分数定量分析中的可靠性及临界变化值

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Abstract

BACKGROUND: Reliability of echocardiographic calculations for stroke volume and mitral regurgitant fraction (RF(MR)) are affected by observer variability and lack of a gold standard. Variability is used to calculate critical change values (CCVs) that are thresholds representing real change in a measure not associated with observer variability. HYPOTHESIS: Observed intra- and interobserver accuracy and variability in healthy dogs help model CCV for RF(MR). ANIMALS: Reliability cohort of 34 healthy dogs; allometric scaling cohort of 99 dogs with heart disease and 25 healthy dogs. METHODS: Accuracy, variability, and CCV of 2 observers using geometric and flow-based echocardiography were prospectively compared against a standard of RF(MR) = 0% and extrapolated across a range of expected RF(MR) values in the reliability cohort partly derived from cardiac dimensions predicted by the allometric cohort. RESULTS: Accuracy of methods to determine RF(MR) in descending order was 4-chamber bullet (Bullet(4CH)), mitral inflow, cube formula, and Simpson's method of disks. Intraobserver variability was relatively high. The CCV for RF(MR) ranged from 28% to 88% and was inversely related to RF(MR) when extrapolated for use in affected dogs. For both observers, the Bullet(4CH) method had the lowest intraobserver CCV (Operator 1:28%, Operator 2:41%). Interobserver strength of agreement was low with intraclass correlation coefficients ranging from 0.210 to 0.413. CONCLUSIONS AND CLINICAL IMPORTANCE: Echocardiographic volumetric methods used to calculate stroke volume and RF(MR) have low accuracy and high variability in healthy dogs. Extrapolation of observed CCV to a range of expected RF(MR) suggests observers and methods are not interchangeable and variability might hinder routine clinical usage. Individual observers should be aware of their own variability and CCV.

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