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Background  Echocardiographic assessment of left ventricular (LV) size and function using area‐based indices and volumetric estimates is not well established in horses.    Objective  To report reference intervals and measurement variability for uni‐, 2‐, and 3‐dimensional echocardiographic indices of LV size and systolic function in Warmblood horses and to provide proof of concept for allometric scaling of variables to body weight. Unidimensional indices were to be compared to area‐based indices and LV volume estimates to establish their clinical use.    Animals  Thirty healthy Warmblood horses and 70 Warmblood horses with a primary diagnosis of mitral regurgitation or aortic regurgitation.    Methods  Echocardiographic indices of LV size and systolic function were measured using an existing echocardiography database. Weight‐related variables were scaled to body weight (BWT). Reference intervals and measurement variability were calculated, the influence of valvular regurgitation on LV size and function was investigated and agreement between different variables for detection of reduced, normal, and increased LV size and systolic function was assessed.    Results  Reference values for healthy Warmblood horses were reported. Measurement variability was sufficiently low for clinical use of all variables. Allometric scaling was effective to correct diastolic LV dimensions and cardiac output for differences in BWT. Various echocardiographic indices resulted in different conclusions regarding identification of LV enlargement and systolic dysfunction in healthy horses and horses with valvular regurgitation.    Conclusions and Clinical Importance  Echocardiographic assessment of LV size and systolic function should include joint assessment of multiple uni‐ and multidimensional indices. Area‐based or volumetric indices that reflect LV long‐axis motion should be included.

journal of veterinary internal medicine

Echocardiographic assessment of left ventricular size and systolic function in Warmblood horses using linear measurements, area‐based indices, and volume estimates: A retrospective database analysis