Literature DB >> 18091515

Donor biopsy and kidney transplant outcomes: an analysis using the Organ Procurement and Transplantation Network/United Network for Organ Sharing (OPTN/UNOS) database.

Meera Bajwa1, Yong W Cho, Phuong-Thu Pham, Tariq Shah, Gabriel Danovitch, Alan Wilkinson, Suphamai Bunnapradist.   

Abstract

BACKGROUND: Although the degree of glomerulosclerosis on pretransplant donor biopsy is one criterion used in the decision to accept a deceased donor kidney, its relationship with graft survival remains controversial. This study compared graft survival with the degree of glomerulosclerosis found on donor biopsy. We also examined the agreement in degree of glomerulosclerosis between paired kidneys.
METHODS: Biopsy results from 12,129 adult deceased donor transplants between January 1, 2000 and December 31, 2005 were identified in the Organ Procurement and Transplantation Network/United Network for Organ Sharing data, as of September 11, 2006. Of these, 2696 donors had both kidneys biopsied and subsequently transplanted.
RESULTS: Among the groups with greater than 5% glomerulosclerosis, there was no statistically significant difference in graft survival rates (log-rank, P=0.44). The overall graft survival rates of the 0-5% group were significantly superior to those of the >5% groups (1-, 3-, and 5-year rates: 85.9%, 72.4%, and 59.0% for 0-5% group vs. 81.6%, 68.1%, and 53.6% for >5% group, log-rank P<0.001). Agreement between paired kidneys from the same donor was highest for the 0-5% glomerulosclerosis groups (90.6% for pairs with 0-5% glomerulosclerosis in the left kidney vs. 42.5% for pairs with >5% glomerulosclerosis in the left kidney).
CONCLUSION: Donor kidneys with less than 6% glomerulosclerosis were associated with better graft outcomes and intrapair agreement in the degree of glomerulosclerosis. Among kidneys with greater than 5% glomerulosclerosis, the degree of glomerulosclerosis did not help predict graft outcomes. Sampling error may contribute to the lack of outcome differences seen among these kidneys, given the low intrapair agreement.

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Year:  2007        PMID: 18091515     DOI: 10.1097/01.tp.0000282868.86529.31

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  16 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

2.  Factors leading to the discard of deceased donor kidneys in the United States.

Authors:  Sumit Mohan; Mariana C Chiles; Rachel E Patzer; Stephen O Pastan; S Ali Husain; Dustin J Carpenter; Geoffrey K Dube; R John Crew; Lloyd E Ratner; David J Cohen
Journal:  Kidney Int       Date:  2018-05-05       Impact factor: 10.612

3.  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

Review 4.  Strategies for an Expanded Use of Kidneys From Elderly Donors.

Authors:  María José Pérez-Sáez; Núria Montero; Dolores Redondo-Pachón; Marta Crespo; Julio Pascual
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

5.  Characteristics and Performance of Unilateral Kidney Transplants from Deceased Donors.

Authors:  Syed Ali Husain; Mariana C Chiles; Samnang Lee; Stephen O Pastan; Rachel E Patzer; Bekir Tanriover; Lloyd E Ratner; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2017-12-07       Impact factor: 8.237

6.  The role of procurement biopsies in acceptance decisions for kidneys retrieved for transplant.

Authors:  Bertram L Kasiske; Darren E Stewart; Bipin R Bista; Nicholas Salkowski; Jon J Snyder; Ajay K Israni; Gretchen S Crary; John D Rosendale; Arthur J Matas; Francis L Delmonico
Journal:  Clin J Am Soc Nephrol       Date:  2014-02-20       Impact factor: 8.237

7.  Reproducibility of Deceased Donor Kidney Procurement Biopsies.

Authors:  S Ali Husain; Kristen L King; Ibrahim Batal; Geoffrey K Dube; Isaac E Hall; Corey Brennan; M Barry Stokes; R John Crew; Dustin Carpenter; Hector Alvarado Verduzco; Raphael Rosen; Shana Coley; Eric Campenot; Dominick Santoriello; Adler Perotte; Karthik Natarajan; Vivette D D'Agati; David J Cohen; Lloyd E Ratner; Glen Markowitz; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2020-01-23       Impact factor: 8.237

8.  Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections.

Authors:  Jon N Marsh; Matthew K Matlock; Satoru Kudose; Ta-Chiang Liu; Thaddeus S Stappenbeck; Joseph P Gaut; S Joshua Swamidass
Journal:  IEEE Trans Med Imaging       Date:  2018-06-27       Impact factor: 10.048

9.  Microsteatosis in Livers From Donation After Circulatory Death Donors Is Associated With Inferior Outcomes Following Liver Transplantation.

Authors:  Natalie M Bath; Glen Leverson; David P Al-Adra; Anthony M D'Alessandro; Joshua D Mezrich; David P Foley
Journal:  Liver Transpl       Date:  2020-09       Impact factor: 5.799

10.  An Iranian experience on renal allograft diseases.

Authors:  Diana Taheri; Ardeshir Talebi; Venus Salem; Mehdi Fesharakizadeh; Shahaboddin Dolatkhah; Parvin Mahzouni
Journal:  J Res Med Sci       Date:  2011-12       Impact factor: 1.852

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