De novo aortic insufficiency during long-term support on a left ventricular assist device: A systematic review and meta-analysis

Salil V. Deo, Vikas Sharma, Yang Hyun Cho, Ishan K. Shah, Soon J. Park

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Aortic insufficiency (AI) may occur while supported on a left ventricular assist device (LVAD). We conducted a systematic review to determine the incidence, predictors, and consequences of AI during LVAD support. MEDLINE was searched for original studies presenting clinical data regarding patients who developed AI during LVAD implant. Seven observational studies (657 patients) were selected for review; 65% of patients underwent implantation with a continuous-flow device (Cf-LVAD). The incidence of AI was 25% (11-42%) (Support period: 412 ± 281 days). AI increased by 4% (1-6%) per month of support (p < 0.01). AI-positive patients were older at implant (weighted mean difference, 7.7 [4.3; 11.1]; p < 0.01). Female sex (0.002 ± 0.001; p = 0.01) and smaller body surface area (-0.003 ± 0.001 per m; p < 0.01) correlated with progressive AI. Destination therapy patients (odds ratio [OR], 5.3 [1.2, 24]; p = 0.02) and those with Cf-LVAD pumps were likely to develop AI (hazard ratio [HR], 2.2 [1.2, 3.8]; p < 0.01). A closed aortic valve was associated with AI (OR, 4.7 [1.9, 11.8]; p < 0.01). Survival was comparable in both cohorts (HR, 1.5 [0.81, 2.8]; p = 0.2). A significant number of patients develop de novo AI during LVAD support. Advanced age, longer support duration, continuous-flow pumps, and a closed aortic valve are associated with AI. Large cohort studies would improve our understanding of this condition.

Original languageEnglish (US)
Pages (from-to)183-188
Number of pages6
JournalASAIO Journal
Volume60
Issue number2
DOIs
StatePublished - Jan 1 2014

Keywords

  • Aortic insufficiency
  • Congestive heart failure
  • Left ventricular assist device

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biomedical Engineering

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