614 829

Cited 39 times in

Cited 47 times in

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

Authors
 Kerkhof, Peter L. M.  ;  van de Ven, Peter M.  ;  Yoo, Byung Won  ;  Peace, Richard A.  ;  Heyndrickx, Guy R.  ;  Handly, Neal 
Citation
 International Journal of Cardiology, Vol.255 : 105-110, 2018-03 
Journal Title
INTERNATIONAL JOURNAL OF CARDIOLOGY
ISSN
 0167-5273 
Issue Date
2018-03
Keywords
Remodeling ; Right ventricle ; Ventricular volume regulation ; Statistics ; Ejection fraction ; Sex-specific analysis ; Nonlinear regression ; End-systolic volume
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.
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
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links