Aortic Insufficiency During Contemporary Left Ventricular Assist Device Support: Analysis of the INTERMACS Registry.


Journal Article

OBJECTIVES:This study sought to evaluate the impact of moderate to severe aortic insufficiency (AI) on outcomes in patients with continuous flow left ventricular assist devices (CF-LVADs). BACKGROUND:Development of worsening AI is a common complication of prolonged CF-LVAD support and portends poor prognosis in single-center studies. Predictors of worsening AI and its impact on clinical outcomes have not been examined in a large cohort. METHODS:We conducted a retrospective analysis of patients with CF-LVAD in the INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) study. Development of significant AI was defined as the first instance of at least moderate AI. Primary outcomes of interest were survival after development of significant AI and time to adverse events, including device complications and rehospitalizations. RESULTS:Among 10,603 eligible patients, 1,399 patients on CF-LVAD support developed moderate to severe AI. Prevalence of significant AI progressively increased over time. Predictors of worsening AI included older age, female sex, smaller body mass index, mild pre-implantation AI, and destination therapy strategy. Moderate to severe AI was associated with significantly higher left ventricular end-diastolic diameter, reduced cardiac output, and higher levels of brain natriuretic peptide. Significant AI was associated with higher rates of rehospitalization (32.1% vs. 26.6%, respectively, at 2 years; p = 0.015) and mortality (77.2% vs. 71.4%, respectively, at 2 years; p = 0.005), conditional upon survival to 1 year. CONCLUSIONS:Development of moderate to severe AI has a negative impact on hemodynamics, hospitalizations, and survival on CF-LVAD support. Pre- and post-implantation management strategies should be developed to prevent and treat this complication.

Full Text

Duke Authors

Cited Authors

  • Truby, LK; Garan, AR; Givens, RC; Wayda, B; Takeda, K; Yuzefpolskaya, M; Colombo, PC; Naka, Y; Takayama, H; Topkara, VK

Published Date

  • November 2018

Published In

Volume / Issue

  • 6 / 11

Start / End Page

  • 951 - 960

PubMed ID

  • 30384913

Pubmed Central ID

  • 30384913

Electronic International Standard Serial Number (EISSN)

  • 2213-1787

International Standard Serial Number (ISSN)

  • 2213-1779

Digital Object Identifier (DOI)

  • 10.1016/j.jchf.2018.07.012


  • eng