Literature DB >> 8394536

Relationship between donor renal interstitial surface and post-transplant function.

D Serón1, M Carrera, J M Griño, A M Castelao, M A Lopez-Costea, L Riera, J Alsina.   

Abstract

Forty-three biopsies were performed between 30 and 60 min after reperfusion. Patients (22 males/21 females, mean age 41 +/- 12 years, mean donor age 32 +/- 14 years) were treated either with antilymphocytic globulin, cyclosporin, and prednisolone (24 cases), or OKT3, cyclosporin, and prednisolone (19 cases). Ten patients had delayed post-transplant renal function (DPRF), defined as haemodialysis requirements after surgery, and seven patients had acute rejection 11 +/- 16 days post-transplant. Kidneys were perfused with a hypertonic solution containing mannitol. All patients were followed up for at least 30 months. During follow-up, five patients lost their grafts due chronic rejection, two patients due to noncompliance and one due to recurrence of focal segmental glomerulosclerosis. One patient died from heart infarction. Biopsies were stained with H&E, Masson's trichrome, periodic acid-Schiff (PAS) and silver methenamine. Interstitial fibrosis, interstitial oedema, tubular vacuolization, and peritubular capillary oedema were measured using a semiquantitative scale. Five 400 x magnification micrographs of cortical interstitium from silver-methenamine-stained sections were used to measure percentage of interstitial surface with a morphometer. Interstitial surface was 18.7 +/- 6.2% (range 3.2-35.3%). A positive correlation was found between interstitial surface and donor age (r = 0.469, P = 0.0015). No relationship was found between warm and cold ischaemia times and tubular vacuolization or peritubular capillary oedema.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8394536     DOI: 10.1093/ndt/8.6.539

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  7 in total

1.  Low-density array PCR analysis of reperfusion biopsies: an adjunct to histological analysis.

Authors:  Paolo Cravedi; Umberto Maggiore; Roslyn B Mannon
Journal:  Nephrol Dial Transplant       Date:  2010-05-26       Impact factor: 5.992

Review 2.  The impact of age on rejection in kidney transplantation.

Authors:  Johan W de Fijter
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

3.  Human kidney graft survival correlates with structural parameters in baseline biopsies: a quantitative observational cohort study with more than 14 years' follow-up.

Authors:  Anne R Ellingsen; Kaj A Jørgensen; Ruth Østerby; Steffen E Petersen; Svend Juul; Niels Marcussen; Jens R Nyengaard
Journal:  Virchows Arch       Date:  2020-09-28       Impact factor: 4.064

4.  Angiotensin II blockade in kidney transplant recipients.

Authors:  Hassan N Ibrahim; Scott Jackson; Jeffery Connaire; Arthur Matas; Arthur Ney; Behzad Najafian; Ann West; Nicole Lentsch; Jensina Ericksen; Jenny Bodner; Bertram Kasiske; Michael Mauer
Journal:  J Am Soc Nephrol       Date:  2013-01-10       Impact factor: 10.121

5.  The relation between zero-time pretransplant deceased donor renal biopsy and kidney transplant survival.

Authors:  Mahmoud Tavakkoli; Masoud Yousefi; Reza Mahdavi; Mahmoud Reza Kalantari; Amin Mirsani; Amin Korooji
Journal:  Res Rep Urol       Date:  2019-04-26

6.  Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens.

Authors:  Jon N Marsh; Ta-Chiang Liu; Parker C Wilson; S Joshua Swamidass; Joseph P Gaut
Journal:  JAMA Netw Open       Date:  2021-01-04

7.  Reliability of pre-transplant live donor renal biopsies in predicting the graft outcome.

Authors:  G H Naderi; M Sotoudeh; D Mehraban; S Nategh
Journal:  Int J Organ Transplant Med       Date:  2014
  7 in total

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