Literature DB >> 16162196

Predicting subsequent decline in kidney allograft function from early surveillance biopsies.

Fernando G Cosio1, Joseph P Grande, Hani Wadei, Timothy S Larson, Matthew D Griffin, Mark D Stegall.   

Abstract

Identifying factors that are predictive of allograft loss might be an important step toward prolonging kidney allograft survival. In this study we sought to determine the association between histologic changes on 1-year surveillance biopsies, changes in graft function and survival. This analysis included 292 adults, recipients of kidneys from living donors (69%) or deceased donors (31%), transplanted between 1998 and 2001 and followed up for 46 +/- 14 months. The primary end point was death-censored graft loss or a >50% reduction in GFR beyond 1 year. One-year biopsies were classified as: (i) Normal (N = 87, 30%), (ii) inflammation (N = 6, 2%), (iii) fibrosis (N = 131, 45%), (iv) fibrosis and inflammation (N = 53, 18%) and (v) transplant glomerulopathy (N = 15, 5%). By multivariate Cox analysis, survival related to biopsy classification (HR = 4.2, p = 0.001), graft function (HR = 0.97, p = 0.001) and HLA mismatches (HR = 1.003, p = 0.004). Using normal histology as a reference, fibrosis and inflammation (HR = 8.5, p < 0.0001) and glomerulopathy (HR = 10, p < 0.0001) related to poorer survival but mild fibrosis alone did not. Importantly, the degree of inflammation associated with fibrosis generally did not qualify for the diagnosis of borderline rejection. In conclusion, inflammation and glomerulopathy 1 year post-transplant predict loss of graft function and graft failure independently of function and other variables.

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Year:  2005        PMID: 16162196     DOI: 10.1111/j.1600-6143.2005.01050.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  78 in total

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2.  Application of label-free quantitative peptidomics for the identification of urinary biomarkers of kidney chronic allograft dysfunction.

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3.  Progressive histological damage in renal allografts is associated with expression of innate and adaptive immunity genes.

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Journal:  World J Transplant       Date:  2013-06-24

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Review 8.  Through a glass darkly: seeking clarity in preventing late kidney transplant failure.

Authors:  Mark D Stegall; Robert S Gaston; Fernando G Cosio; Arthur Matas
Journal:  J Am Soc Nephrol       Date:  2014-08-05       Impact factor: 10.121

9.  Donor ABCB1 variant associates with increased risk for kidney allograft failure.

Authors:  Jason Moore; Amy Jayne McKnight; Bernd Döhler; Matthew J Simmonds; Aisling E Courtney; Oliver J Brand; David Briggs; Simon Ball; Paul Cockwell; Christopher C Patterson; Alexander P Maxwell; Stephen C L Gough; Gerhard Opelz; Richard Borrows
Journal:  J Am Soc Nephrol       Date:  2012-10-11       Impact factor: 10.121

10.  Urine proteomics to detect biomarkers for chronic allograft dysfunction.

Authors:  Luís F Quintana; Amanda Solé-Gonzalez; Susana G Kalko; Elisenda Bañon-Maneus; Manel Solé; Fritz Diekmann; Alex Gutierrez-Dalmau; Joaquin Abian; Josep M Campistol
Journal:  J Am Soc Nephrol       Date:  2008-12-03       Impact factor: 10.121

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