Impact of Pre-existing Comorbidities on Long-term Outcomes in Kidney Transplant Recipients

Transplant Proc. 2018 Dec;50(10):3232-3241. doi: 10.1016/j.transproceed.2018.08.028. Epub 2018 Sep 7.

Abstract

Background: Outcomes of patients with end-stage renal disease are mainly affected by their comorbidities. Detailed data evaluating the impact of pre-transplant comorbidities on long-term outcome after kidney transplantation are largely missing.

Methods: In a long-term retrospective analysis, we investigated 839 deceased donor kidney transplant recipients (KTRs) who received transplants between 1999 and 2014. The prevalence and impact of the most relevant comorbidities were studied in detail.

Results: At the time of transplantation, 25% of KTRs had coronary artery disease (CAD), 16% had diabetes mellitus (DM), 11% had peripheral arterial disease (PAD), 8% had chronic heart failure (CHF), and 7% had cerebrovascular disease (CVD). KTRs with pre-existing CAD, DM, PAD, and CHF showed a significantly inferior patient survival. Multivariate analysis adjusting for all relevant factors and comorbidities confirmed CAD as most hazardous independent risk factor for premature death (hazard ratio [HR] 1.70; P = .002). A multivariate analysis revealed CHF and PAD as independent risk factors for death censored graft loss (HR 2.20; P = .003 and HR 1.80; P = .013). Diabetes was independently and significantly associated with T-cell- (HR 1.46; P = .020) and antibody-mediated rejections (HR 2.27; P = .030).

Conclusions: Detailed quantification of the impact of pre-transplant comorbidities may facilitate the evaluation of transplant candidates, guide post-transplant follow-up, and may help to further refine prediction algorithms and allocation systems.

MeSH terms

  • Adult
  • Aged
  • Comorbidity*
  • Diabetes Mellitus / epidemiology
  • Female
  • Graft Survival
  • Heart Failure / epidemiology
  • Humans
  • Kidney Failure, Chronic*
  • Kidney Transplantation / adverse effects
  • Kidney Transplantation / mortality*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Peripheral Arterial Disease / epidemiology
  • Prevalence
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors
  • Transplant Recipients*