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

Authors
 Peter L M Kerkhof  ;  Peter M van de Ven  ;  Byungwon Yoo  ;  Richard A Peace  ;  Guy R Heyndrickx  ;  Neal Handly 
Citation
 INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol.255 : 105-110, 2018 
Journal Title
INTERNATIONAL JOURNAL OF CARDIOLOGY
ISSN
 0167-5273 
Issue Date
2018
Keywords
Ejection fraction ; End-systolic volume ; Nonlinear regression ; Remodeling ; Right ventricle ; Sex-specific analysis ; Statistics ; Ventricular volume regulation
Abstract
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.
Files in This Item:
T201801816.pdf Download
DOI
10.1016/j.ijcard.2017.09.019
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Yoo, Byung Won(류병원) ORCID logo https://orcid.org/0000-0001-6895-1484
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/162514
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