Sex-mismatch influence on survival after heart transplantation: A systematic review and meta-analysis of observational studies

Clin Transplant. 2019 Dec;33(12):e13737. doi: 10.1111/ctr.13737. Epub 2019 Nov 10.

Abstract

Introduction and objectives: Heart transplantation (HT) is the treatment for patients with end-stage heart disease. Despite contradictory reports, survival seems to be worse when donor/recipient sex is mismatched. This systematic review and meta-analysis aims to synthesize the evidence on the effect of donor/recipient sex mismatch after HT.

Methods: We searched PubMed and EMBASE until November 2017. Comparative cohort and registry studies were included. Published articles were systematically selected and, when possible, pooled in a meta-analysis. The primary endpoint was one-year mortality.

Results: After retrieving 556 articles, ten studies (76 175 patients) were included in the quantitative meta-analysis. Significant differences were found in one-year survival between sex-matched and mismatched recipients (odds ratio (OR) 1.30, 95% confidence interval (CI) 1.25-1.35, P < .001). In female recipients, we found that sex mismatch was not a risk factor for one-year mortality (OR = 0.93, 95% CI = 0.85-1.00, P = .06). However, in male recipients, we found that it was a risk factor for one-year mortality (OR = 1.38, 95% CI = 1.31-1.44, P < .001).

Conclusions: Sex mismatch increases one-year mortality after HT in male recipients. Its influence in long-term survival should be further explored with high-quality studies.

Keywords: heart transplantation; meta-analysis; mismatch; prognosis; sex.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Graft Rejection / etiology
  • Graft Rejection / mortality*
  • Graft Rejection / pathology
  • Graft Survival
  • Heart Diseases / mortality*
  • Heart Diseases / surgery*
  • Heart Transplantation / adverse effects
  • Heart Transplantation / mortality*
  • Humans
  • Observational Studies as Topic
  • Prognosis
  • Risk Factors
  • Sex Factors
  • Survival Rate
  • Tissue Donors / statistics & numerical data*
  • Transplant Recipients / statistics & numerical data*