ArticlePloS one2018
Correlations of left ventricular systolic function indices with aortic root systolic excursion (ARSE): A cross-sectional echocardiographic study.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Is There a Relationship Between Aortic Valve Annular Plane Systolic Excursion and Left Ventricular Rotational Mechanics in Healthy Adults? Insights from the MAGYAR-Healthy Study.Journal of clinical medicine · 2026Article
- Article
- How aortic valve annular plane systolic excursion and left ventricular strains are associated in healthy adults measured simultaneously by three-dimensional speckle-tracking echocardiography? (Insights from MAGYAR-Healthy Study).Quantitative imaging in medicine and surgery · 2026Article
- Aortic Valve Annular Properties in Cardiac Amyloidosis-Insights from the Three-Dimensional Speckle Tracking Echocardiographic MAGYAR-Path Study.Biomedicines · 2026Article
- Three-Dimensional Speckle-Tracking Echocardiography-Derived Aortic Valve Annular Plane Systolic Excursion and Left Ventricular Volumes Are Not Associated in Healthy Adults (Insights from MAGYAR-Healthy Study).Journal of clinical medicine · 2026Article
- Aortic annular plane systolic excursion in cats with hypertrophic cardiomyopathy.Journal of veterinary internal medicineArticle
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure (HF), is a major public health issue globally. Echocardiography is cost-effective in the diagnosis in expert hands. This study was conducted to estimate the usefulness of Aortic Root Systolic Excursion (ARSE) as a simple and accurate measure to estimate Left Ventricular (LV) function.
methodsThis was a cross-sectional echocardiographic study among adults aged ≥ 18 years, with or without heart failure, in sinus rhythm, and with no LV out-let obstruction. We studied the correlations of ARSE with some selected indices of LV Systolic Functions. We determined optimal cut-offs of ARSE in detecting LV dysfunction. We generated a simple regression equation to best estimate LV ejection fraction according to the modified Simpson method.
resultsOverall 213 echocardiograms were included from 106 males (49.8%), with mean age of the participants being 52.4 (SD: 18.3) years. The rate of LV systolic dysfunction was highest with Teicholz method (17.4%) and lowest with MAPSE method (5.2%). ARSE correlated with the LV functions. This was highest for the Simpson method (r = 0.619, p<0.001), and lowest for the ITV method (r = 0.319, p<0.001). Optimal cut-offs to detect LV systolic dysfunction was ≈ 6.6 mm. For an LV ejection fraction < 55%, the sensitivity was 82.9%, and the specificity was 97.2%, with an AUROC of 91.6%.The logarithmic regression equation was best in predicting LV ejection fraction (AUC: 60.2%), followed by the power model (AUC: 56.7%), and the linear model (AUC: 53.6%).
conclusionARSE correlated well with LV systolic function. The cut-off ≤ 6.5 mm suggest LV systolic dysfunction. LV Ejection Fraction was best estimated with the generic equation: LVEF (%) = 29 x In [ARSE].
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