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ePublished: 05 Apr 2017
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J Renal Inj Prev. 2017;6(3): 222-230.
doi: 10.15171/jrip.2017.42

Scopus ID: 85039967613
  Abstract View: 2418
  PDF Download: 1990

Review Article

Pre-transplant biomarkers and prediction of post-transplant outcomes in kidney transplantation

Maurizio Salvadori 1 * , Aris Tsalouchos 2

1 Renal Unit Careggi University Hospital, Viale Pieraccini, Florence, Italy
2 Division of Nephrology Careggi University Hospital Largo Brambilla, Florence, Italy
*Corresponding author: Maurizio Salvadori, maurizio.salvadori1@gmail.com

Abstract

Different biomarkers have been recently described bringing interesting results regarding predictive outcomes in the field of kidney transplantation. In this setting, an evaluation for pre-transplant biomarkers especially in the era of expanded criteria donors (ECDs) and non-heart-beating donors (NHBDs) could help transplant physicians to make decisions on allocation or even on discharge of the allograft. Furthermore, identify pre-transplant biomarkers is useful for a risk stratification of delayed graft function (DGF), acute rejection (AR) episodes and chronic allograft dysfunction (CAD) after kidney transplantation (KT). In this review, we report recent findings on pre-transplant biomarkers from various biological samples from donors or recipients.
Keywords: Kidney transplantation, Pre-transplant biomarkers, Organ appraisal, Delayed graft function, Acute rejection, Chronic allograft dysfunction

Implication for health policy/practice/research/medical education:

New findings in “omics” and genomics allowed us to find out new robust biomarkers that may allow a diagnosis avoiding invasive and dangerous procedures. This could be of particular importance if applied on transplant clinical practice. In kidney transplantation several pre-transplant biomarkers revealed useful either for a better renal allocation and as predictive of future outcomes as delayed graft function, rejections and long term outcome.

Please cite this paper as: Salvadori M, Tsalouchos A. Pre-transplant biomarkers and prediction of post-transplant outcomes in kidney transplantation. J Renal Inj Prev. 2017;6(3):222-230. DOI: 10.15171/jrip.2017.42.

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Abstract View: 2418

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