Open AccessPredictors of the variation of the ejection fraction during exercise in patients with and without coronary heart disease
Author(s) -
Peperstraete B.,
Decoodt P.,
Paternot J.,
Dumont N.,
Verhas M.,
Telerman M.
Publication year - 1987
Publication title -
clinical cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.263
H-Index - 72
eISSN - 1932-8737
pISSN - 0160-9289
DOI - 10.1002/clc.4960100407
Subject(s) - medicine , ejection fraction , cardiology , myocardial infarction , ventricle , coronary artery disease , univariate analysis , heart rate , bayesian multivariate linear regression , logistic regression , multivariate analysis , linear regression , blood pressure , heart failure , machine learning , computer science
The aim of this study was to determine the factors influencing the different response of the ejection fraction (EF) of the left ventricle at exercise observed in patients with and without significant coronary heart disease. We have studied 98 patients referred for coronary angiography (82 men, 16 women), of whom 49 patients had a previous myocardial infarction and 71 patients had significant coronary heart disease. Exercise testing was performed and combined with a cardiac blood pool imaging at equilibrium. The variation of the EF between rest and peak exercise (ΔEF) was measured. Twelve clinical, exercise‐related, isotopic, and coronary arteriographic variables were examined in a linear univariate and statistical analysis. In the univariate regression, seven variables were significant regressors on the ΔEF. In the multivariate regression, only four variables were significant regressors on the ΔEF. Three independent predictors were found: the rate‐pressure product, the ST depression, and the occurrence of a previous myocardial infarction. These three independent predictors reflect the myocardial functional reserve.