Literature DB >> 20102398

Histological assessment of pre-transplant kidney biopsies is reproducible and representative.

Maarten G J Snoeijs1, Liesbeth A Boonstra, Wim A Buurman, Roel Goldschmeding, Robert Jan van Suylen, L W Ernest van Heurn, Carine J Peutz-Kootstra.   

Abstract

AIMS: Histological examination of pre-transplant renal biopsy specimens can be used to select grafts from older donors after cardiac death (DCD) with a satisfactory transplant outcome. The aim was to determine whether such biopsy specimens can be reproducibly scored between pathologists and are representative of the whole kidney. METHODS AND
RESULTS: In renal biopsy specimens from DCD aged >or=60 years (n = 44), globally sclerosed glomeruli, vascular narrowing, tubular atrophy and interstitial fibrosis were scored by three independent pathologists according to the Pirani scoring system. Interobserver agreement on the sum of scores improved considerably with the introduction of a combined tubulo-interstitial scoring system (intraclass correlation coefficient increased from 0.38 to 0.64). In small needle biopsy specimens (n = 144) obtained at autopsy, estimates of the proportion of globally sclerosed glomeruli were more precise with increasing sample size. Reasonably precise estimates may be obtained from specimens with at least seven glomeruli.
CONCLUSIONS: It is feasible to implement pre-transplant renal biopsy specimen analysis as a selection criterion in clinical practice in order to accept kidneys from marginal donors for transplantation.

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Year:  2010        PMID: 20102398     DOI: 10.1111/j.1365-2559.2009.03469.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  6 in total

1.  Pre-implantation kidney biopsy: value of the expertise in determining histological score and comparison with the whole organ on a series of discarded kidneys.

Authors:  Ilaria Girolami; Giovanni Gambaro; Claudio Ghimenton; Serena Beccari; Anna Caliò; Matteo Brunelli; Luca Novelli; Ugo Boggi; Daniela Campani; Gianluigi Zaza; Luigino Boschiero; José Ignacio López; Guido Martignoni; Antonia D'Errico; Dorry Segev; Desley Neil; Albino Eccher
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Review 2.  Delayed graft function in the kidney transplant.

Authors:  A Siedlecki; W Irish; D C Brennan
Journal:  Am J Transplant       Date:  2011-09-19       Impact factor: 8.086

3.  Pretransplant Midodrine Use: A Newly Identified Risk Marker for Complications After Kidney Transplantation.

Authors:  Tarek Alhamad; Daniel C Brennan; Zaid Brifkani; Huiling Xiao; Mark A Schnitzler; Vikas R Dharnidharka; David Axelrod; Dorry L Segev; Krista L Lentine
Journal:  Transplantation       Date:  2016-05       Impact factor: 4.939

4.  Automated Computational Detection of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis.

Authors:  Brandon Ginley; Kuang-Yu Jen; Seung Seok Han; Luís Rodrigues; Sanjay Jain; Agnes B Fogo; Jonathan Zuckerman; Vighnesh Walavalkar; Jeffrey C Miecznikowski; Yumeng Wen; Felicia Yen; Donghwan Yun; Kyung Chul Moon; Avi Rosenberg; Chirag Parikh; Pinaki Sarder
Journal:  J Am Soc Nephrol       Date:  2021-02-23       Impact factor: 10.121

5.  Kidney Transplantation from an extracorporeal membrane oxygenation-supported brain-dead donor: A case report.

Authors:  Pei-Jhang Chiang; Shou-Hung Tang; Chiao-Ching Li; Meng-Han Chou; Yu-Chun Lin; Sheng-Tang Wu
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

6.  Identification of glomerulosclerosis using IBM Watson and shallow neural networks.

Authors:  Francesco Pesce; Federica Albanese; Davide Mallardi; Michele Rossini; Giuseppe Pasculli; Paola Suavo-Bulzis; Antonio Granata; Antonio Brunetti; Giacomo Donato Cascarano; Vitoantonio Bevilacqua; Loreto Gesualdo
Journal:  J Nephrol       Date:  2022-01-18       Impact factor: 4.393

  6 in total

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