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, Neal Handly

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)105-110
Number of pages6
JournalInternational Journal of Cardiology
Volume255
DOIs
Publication statusPublished - 15 Mar 2018

Cite this

@article{11adb5e0a21f44389b83ca97c7aeee9a,
title = "Ejection fraction as related to basic components in the left and right ventricular volume domains",
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.",
keywords = "Ejection fraction, End-systolic volume, Nonlinear regression, Remodeling, Right ventricle, Sex-specific analysis, Statistics, Ventricular volume regulation",
author = "Kerkhof, {Peter L.M.} and {van de Ven}, {Peter M.} and Byungwon Yoo and Peace, {Richard A.} and Heyndrickx, {Guy R.} and Neal Handly",
year = "2018",
month = "3",
day = "15",
doi = "10.1016/j.ijcard.2017.09.019",
language = "English",
volume = "255",
pages = "105--110",
journal = "International Journal of Cardiology",
issn = "0167-5273",
publisher = "Elsevier Ireland Ltd",

}

Ejection fraction as related to basic components in the left and right ventricular volume domains. / Kerkhof, Peter L.M.; van de Ven, Peter M.; Yoo, Byungwon; Peace, Richard A.; Heyndrickx, Guy R.; Handly, Neal.

In: International Journal of Cardiology, Vol. 255, 15.03.2018, p. 105-110.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Ejection fraction as related to basic components in the left and right ventricular volume domains

AU - Kerkhof, Peter L.M.

AU - van de Ven, Peter M.

AU - Yoo, Byungwon

AU - Peace, Richard A.

AU - Heyndrickx, Guy R.

AU - Handly, Neal

PY - 2018/3/15

Y1 - 2018/3/15

N2 - 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.

AB - 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.

KW - Ejection fraction

KW - End-systolic volume

KW - Nonlinear regression

KW - Remodeling

KW - Right ventricle

KW - Sex-specific analysis

KW - Statistics

KW - Ventricular volume regulation

UR - http://www.scopus.com/inward/record.url?scp=85041292281&partnerID=8YFLogxK

U2 - 10.1016/j.ijcard.2017.09.019

DO - 10.1016/j.ijcard.2017.09.019

M3 - Article

VL - 255

SP - 105

EP - 110

JO - International Journal of Cardiology

JF - International Journal of Cardiology

SN - 0167-5273

ER -