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Differential risks for adverse outcomes 3 years after kidney transplantation based on initial immunosuppression regimen: a national study.

Vikas R DharnidharkaMark A SchnitzlerJiajing ChenDaniel C BrennanDavid AxelrodDorry L SegevKenneth B SchechtmanJie ZhengKrista L Lentine
Published in: Transplant international : official journal of the European Society for Organ Transplantation (2016)
We examined integrated national transplant registry, pharmacy fill, and medical claims data for Medicare-insured kidney transplant recipients in 2000-2011 (n = 45 164) from the United States Renal Data System to assess the efficacy and safety endpoints associated with seven early (first 90 days) immunosuppression (ISx) regimens. Risks of clinical complications over 3 years according to IS regimens were assessed with multivariate regression analysis, including the adjustment for covariates and propensity for receipt of a nonreference ISx regimen. Compared with the reference ISx (thymoglobulin induction with tacrolimus, mycophenolate, and prednisone maintenance), sirolimus-based ISx was associated with significantly higher three-year risks of pneumonia (adjusted hazard ratio, aHR 1.45; P < 0.0001), sepsis (aHR 1.40; P < 0.0001), diabetes (aHR 1.21; P < 0.0001), acute rejection (AR; adjusted odds ratio, aOR 1.33; P < 0.0001), graft failure (aHR 1.78; P < 0.0001), and patient death (aHR 1.40; P < 0.0001), but reduced skin cancer risk (aHR 0.71; P < 0.001). Cyclosporine-based IS was associated with increased risks of pneumonia (aHR 1.17; P < 0.001), sepsis (aHR 1.16; P < 0.001), AR (aOR 1.43; P < 0.001), and graft failure (aHR 1.39; P < 0.001), but less diabetes (aHR 0.83; P < 0.001). Steroid-free ISx was associated with the reduced risk of pneumonia (aHR 0.89; P = 0.002), sepsis (aHR 0.80; P < 0.001), and diabetes (aHR 0.77; P < 0.001), but higher graft failure (aHR 1.35; P < 0.001). Impacts of ISx over time warrant further study to better guide ISx tailoring to balance the efficacy and morbidity.
Keyphrases
  • type diabetes
  • cardiovascular disease
  • intensive care unit
  • acute kidney injury
  • healthcare
  • human health
  • risk assessment
  • machine learning
  • glycemic control
  • insulin resistance
  • climate change
  • hepatitis b virus