The impact of frailty on mortality after heart transplantation

J Heart Lung Transplant. 2021 Feb;40(2):87-94. doi: 10.1016/j.healun.2020.11.007. Epub 2020 Nov 21.

Abstract

Background: Frailty is prevalent in the patients with advanced heart failure; however, its impact on clinical outcomes after heart transplantation (HTx) is unclear. The aim of this study was to assess the impact of pre-transplant frailty on mortality and the duration of hospitalization after HTx.

Methods: We retrospectively reviewed the post-transplant outcomes of 140 patients with advanced heart failure who had undergone frailty assessment within the 6-month interval before HTx: 43 of them were frail (F) and 97 were non-frail (NF).

Results: Post-transplant survival rates for the NF cohort at 1 and 12 months were 97% (93-100) and 95% (91-99) (95% CI), respectively. In contrast, post-transplant survival rates for the F cohort at the same time points were 86% (76-96) and 74% (60-84) (p < 0.0008 vs NF cohort), respectively. The Cox proportional hazards regression analysis demonstrated that pre-transplant frailty was an independent predictor of post-transplant mortality with a hazard ratio of 3.8 (95% CI: 1.4-10.5). Intensive care unit and hospital length of stay were 2 and 7 days longer in the F cohort (both p < 0.05), respectively, than in the NF cohort.

Conclusions: Frailty within 6 months before HTx is independently associated with increased mortality and prolonged hospitalization after transplantation. Future research should focus on the development of strategies to mitigate the adverse effects of pre-transplant frailty.

Keywords: cognitive impairment; duration of hospitalization; frailty; heart transplantation; mortality.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • Follow-Up Studies
  • Frailty / epidemiology*
  • Frailty / etiology
  • Heart Failure / complications
  • Heart Failure / mortality
  • Heart Failure / surgery*
  • Heart Transplantation / mortality*
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Male
  • Middle Aged
  • New South Wales / epidemiology
  • Prognosis
  • Retrospective Studies
  • Risk Assessment / methods*
  • Survival Rate / trends
  • Time Factors