Author + information
- Karim Mahmoud,
- Emmanuel Akintoye and
- Luis Afonso
Background: Left ventricular mass index (LVMI) is a strong predictor of cardiovascular events. However, comprehensive data on its determinants are sparse. We sought to characterize the hemodynamic predictors of LVMI and the strength of their associations.
Methods: Using the Multi-ethnic Study of Atherosclerosis (MESA) database, univariate and multivariate association between demographic as well as hemodynamic parameters and LV mass index were explored via linear regression model. Analysis was stratified by gender in order to identify potential gender differences of the impact of each parameter. Estimates represent change in LVMI per unit change in the parameter.
Results: 3677 patients with mean (SD) age 61 (10) who had non-missing values for the variables of interest were included in this study. Of all hemodynamic variables considered, 3 clinical variables (mean arterial pressure, pulse pressure, & pulse rate), 4 pulse wave variables (small and large artery elastic index, cardiac ejection time and total vascular impedance), and 1 MRI variable (aortic distensibility) independently predicted LV MI (Table 1). We also noted gender differences in the predictive ability of these parameters e.g. pulse pressure was significantly associated with LVMI in males (3.2 [95% CI: 1.1, 5.3]) but not in females (0.13 [-1.5, 1.7])
Conclusions: We identified hemodynamic (as well as demographic) independent predictors of LVMI and observed gender differences in the impact of some of these predictors on the LV mass index.
Poster Hall, Hall C
Saturday, March 18, 2017, 3:45 p.m.-4:30 p.m.
Session Title: Innovations in Cardiovascular Risk Assessment and Reduction
Abstract Category: 32. Prevention: Clinical
Presentation Number: 1235-045
- 2017 American College of Cardiology Foundation