Literature DB >> 21303414

Donor risk score and baseline biopsy CADI value predict kidney graft outcome.

Jaanus Kahu1, Lauri Kyllönen, Anne Räisänen-Sokolowski, Kaija Salmela.   

Abstract

Different donor parameters and baseline biopsy have been used to assess the quality of donor organs. There is, however, no consensus which risk factors and chronic changes in the donor kidney can be accepted for transplantation. The study included 481 deceased organ donors and their 829 kidney recipients transplanted during 1995-2005. The biopsies were re-evaluated according to the Banff 97 classification. The prognostic significance of donor risk factors and Chronic Allograft Damage Index (CADI) was analyzed. We propose a new donor risk score, calculated as the count of positive risk factors from a defined set of factors in the medical history of the donor. This donor risk score predicts histological quality of the kidney, graft function, and survival. Transplantations from donors with donor risk score >4 had significantly decreased graft survival compared to those with donor risk scores 0-4; the five-yr death-censored graft survivals were 83% vs. 93%, respectively. High donor CADI score (>3) was associated with worse graft function and survival. Three-yr glomerular filtration rate declined from 82 to 49 mL/min with donor CADI increase from 0 to ≥4. Our results show that high donor risk score and CADI value reflect low functional reserve and risk for poor graft outcome.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21303414     DOI: 10.1111/j.1399-0012.2011.01401.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  7 in total

1.  Transplantation: Donor risk scores: can they predict renal transplant outcomes?

Authors:  Edmund Huang; Gabriel Danovitch; Suphamai Bunnapradist
Journal:  Nat Rev Nephrol       Date:  2011-05       Impact factor: 28.314

2.  Approach to the pretransplant evaluation of the living kidney donor.

Authors:  Mala Sachdeva; Madhu Bhaskaran; Ernesto P Molmenti; Donna Dalton; Joseph Mattana
Journal:  J Transplant       Date:  2011-12-29

3.  Fifteen-Year Analysis of Deceased Kidney Donation: A Single Transplant Center Experience in a Region of Northern Italy.

Authors:  Vania Cuna; Giorgia Comai; Maria Cappuccilli; Olga Baraldi; Irene Capelli; Matteo De Liberali; Lorenzo Gasperoni; Diletta Conte; Matteo Ravaioli; Antonio D Pinna; Gaetano La Manna
Journal:  Med Sci Monit       Date:  2017-09-18

Review 4.  Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review.

Authors:  Sherry G Mansour; Jeremy Puthumana; Steven G Coca; Mark Gentry; Chirag R Parikh
Journal:  BMC Nephrol       Date:  2017-02-20       Impact factor: 2.388

5.  Significance of the Pathologic Findings in Implantation Biopsies for Kidney Allografts Survival.

Authors:  A V Trailin; T N Nykonenko; T I Ostapenko; S R Vildanov; O S Nykonenko
Journal:  Int J Organ Transplant Med       Date:  2019-02-01

6.  SDF‑1/CXCR4 induces epithelial‑mesenchymal transition through activation of the Wnt/β‑catenin signaling pathway in rat chronic allograft nephropathy.

Authors:  Hao Tang; Yue Xu; Zijian Zhang; Song Zeng; Wenbo Dong; Wenjiao Jiao; Xiaopeng Hu
Journal:  Mol Med Rep       Date:  2019-03-15       Impact factor: 2.952

7.  Polymorphisms in vasoactive eicosanoid genes of kidney donors affect biopsy scores and clinical outcomes in renal transplantation.

Authors:  Sonia Mota-Zamorano; Luz M González; Enrique Luna; José J Fernández; Áurea Gómez; Alberto Nieto-Fernández; Nicolás R Robles; Guillermo Gervasini
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

  7 in total

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