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 - https://doi.org/10.1016/j.ijcard.2017.09.019
DO - https://doi.org/10.1016/j.ijcard.2017.09.019
M3 - Article
C2 - 29425548
SN - 0167-5273
VL - 255
SP - 105
EP - 110
JO - International Journal of Cardiology
JF - International Journal of Cardiology
ER -