38. Diastolic function is an independent predictor of cardiorespiratory fitness in patients with preserved ejection fraction

The aim of this analysis is to determine whether diastolic dysfunction is an independent predictor of CRF among patients with normal left ventricular function. Cardiorespiratory fitness (CRF), expressed in metabolic equivalent (METs), has been shown to be a significant predictor of outcomes. A retro...

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Bibliographic Details
Main Author: A. Jamiel
Format: Article
Language:English
Published: Saudi Heart Association 2016-07-01
Series:Journal of the Saudi Heart Association
Online Access:http://www.sciencedirect.com/science/article/pii/S1016731516300604
Description
Summary:The aim of this analysis is to determine whether diastolic dysfunction is an independent predictor of CRF among patients with normal left ventricular function. Cardiorespiratory fitness (CRF), expressed in metabolic equivalent (METs), has been shown to be a significant predictor of outcomes. A retrospective analysis including patients who underwent clinically indicated treadmill stress testing using Bruce protocol and transthoracic echocardiography within one-year period between 2008 and 2014. Cardiorespiratory fitness was estimated using the maximum speed and grade achieved during treadmill time. Multivariable Linear regression was used to determine the independent predictors of CRF. Results: A total of 2816 patients (Mean age 46 ± 12 years, 61% were males) were included. The prevalence of risk factors were: hypertension 23.6%, diabetes mellitus 18.2% and dyslipidaemia 57.6%. The distribution of the diastolic dysfunction across the different CRF groups are shown. Using multivariate logistic regression, the independent predictors of poor CRF (achieving less than 6 METS) included diastolic dysfunction OR 1.87 (95% CI, 1.326–2.518), p < 0.001 and BMI (OR 0.907, (95% CI, 0.895–0.918), p < 0.001 per 1 kg/m2) after adjusting for potential confounders.Among patients with normal left ventricular function, diastolic function assessment is an independent predictor of cardiorespiratory fitness.
ISSN:1016-7315