Prevalence and correlates of low-flow state by 3-dimensional automated echocardiography in aortic stenosis with normal ejection fraction

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Measurement left ventricular (LV) stroke volume normalized for the body surface area (SVi) is required in aortic stenosis (AS) to calculate valve (AVA) and determine flow status. However, LV outflow tract most patients hourglass rather than cylindrical, leading a significant overestimation low-flow state AS severity. Therefore, an accurate volumetric approach may potentially outperform standard linear method SVi measurement. Aims To investigate prevalence (SVi ≤35 ml/m2) with normal ejection fraction (EF) by automated machine learning 3D echocardiography based on adaptive analytics algorithm. Materials Methods Consecutive (peak velocity>2.5 m/s) EF>50% underwent Dynamic Heart Model (DHM) using larger settings boundary detection sliders (end-diastolic position = 60/60; end-systolic 30/30). Exclusion criteria were > moderate or mitral regurgitation, rheumatic disease endocarditis, previous repair replacement. Results We included 68 (mean 75 ± 12 years; 60% men, mean AVA 1,12 0,40 cm2). On DHM, 10/68 (15%) demonstrated low SVi. The LVEDVi, LVESVi, AVA, mass, EFLA significantly lesser (Table). Conclusions When quantified modern method, EF be lower previously reported. phenotypic profile can refined when new metrics DHM are employed.