Diastolic dysfunction in patients undergoing cardiac surgery: the role of gender and age-gender interaction.


Journal Article

OBJECTIVES: To test the hypothesis that females presenting for coronary artery bypass graft (CABG) surgery are at a higher risk of left ventricular diastolic dysfunction (LVDD) and that age and gender interact to influence this risk. DESIGN: Retrospective observational study. SETTING: Tertiary university hospital. PARTICIPANTS: Eight hundred-ninety-five adult patients undergoing CABG surgery. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Baseline diastolic function was graded according to a predefined Doppler-based algorithm, which defined LVDD as a binary variable (grades 2 and 3 only) and as a continuous variable (E/e' ratio). The authors found that women were more likely to present with LVDD in 2 multivariate regression models using both LVDD definitions (odds ratio = 2.7; p<0.0001 for logistic model, and parameter estimate (PE) = 2.8; p<0.0001 for the linear model). In addition, there was a significant age and gender interaction on the risk of LVDD in the linear model (PE = 0.08; p = 0.01). A restricted cubic splines analysis revealed a progressively higher risk of LVDD (predicted E/e' ratio) among older women. CONCLUSIONS: The authors confirmed that women undergoing CABG surgery are at higher risk of LVDD compared to men with a significant age-gender interaction suggesting a possible age-related differential effect on LVDD between the genders, a phenomenon previously demonstrated in preclinical studies. Therapies aimed at amelioration of diastolic dysfunction additionally should consider the higher risk in females, especially within the older subset of the patient population.

Full Text

Duke Authors

Cited Authors

  • Ferreira, RG; Nicoara, A; Phillips-Bute, BG; Daneshmand, M; Muehlschlegel, JD; Swaminathan, M

Published Date

  • June 2014

Published In

Volume / Issue

  • 28 / 3

Start / End Page

  • 626 - 630

PubMed ID

  • 24675001

Pubmed Central ID

  • 24675001

Electronic International Standard Serial Number (EISSN)

  • 1532-8422

Digital Object Identifier (DOI)

  • 10.1053/j.jvca.2013.11.010


  • eng

Conference Location

  • United States