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Ejection fraction as related to basic components in the left and right ventricular volume domains
Journal article   Open access   Peer reviewed

Ejection fraction as related to basic components in the left and right ventricular volume domains

Peter L. M. Kerkhof, Peter M. van de Ven, Byungwon Yoo, Richard A. Peace, Guy R. Heyndrickx and Neal Handly
International journal of cardiology, v 255, pp 105-110
15 Mar 2018
PMID: 29425548
url
https://doi.org/10.1016/j.ijcard.2017.09.019View
Published, Version of Record (VoR)CC BY-NC-ND V4.0 Open

Abstract

Cardiac & Cardiovascular Systems Cardiovascular System & Cardiology Life Sciences & Biomedicine Science & Technology
Background: Ejection fraction (EF) is commonly applied as a clinically relevant metric to assess ventricular function. The numerical value of EF depends on the interplay between end-systolic volume (ESV) and end-diastolic volume (EDV). Remarkably, the relative impact of the two constitutive components on EF received little attention. Methods: Three patient groups not using beta-blockers were analyzed for a robust investigation into the relative contribution of ESV and EDV when assessing EF: cardiac patients (N = 155) with left ventricular (LV) data obtained by biplane ventriculography, near-normals (N = 276) by gated SPECT investigation, and an MRI-based post Fallot repair study including right ventricular (RV) data (N = 124), besides LV. We compared various routes to evaluate EF via linear and several types of nonlinear regression with ESV as independent variable. Advanced statistics was applied to evaluate sex-specific differences. Results: In all cases ESV emerges as the dominant component of EF, with less (P < 0.0001) impact of EDV. The relationship for EF versus ESV is nonlinear (P < 0.0001), and similar for both sexes. A linear approach may be inadequate and generate erroneous statistical outcomes when comparing subgroups of patients. Conclusions: Values for EF primarily depend on ESV, both for LV and RV. This relationship is essentially nonlinear, and similar for both sexes. A logarithmic approximation is convenient and often acceptable. However, application of linear regression for EF vs ESV may lead to incorrect conclusions, particularly when comparing males and females. (C) 2017 Elsevier B.V. All rights reserved.

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Cardiac & Cardiovascular Systems
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