» Articles » PMID: 32327683

Usefulness of Morphometric Image Analysis with Sirius Red to Assess Interstitial Fibrosis After Renal Transplantation from Uncontrolled Circulatory Death Donors

Overview
Journal Sci Rep
Specialty Science
Date 2020 Apr 25
PMID 32327683
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Early interstitial fibrosis (IF) correlates with long-term renal graft dysfunction, highlighting the need for accurate quantification of IF. However, the currently used Banff classification exhibits some limitations. The aim of our study was to precisely describe the progression of IF after renal transplantation using a new morphometric image analysis method relying of Sirius Red staining. The morphometric analysis we developed showed high inter-observer and intra-observer reproducibility, with ICC [95% IC] of respectively 0.75 [0.67-0.81] (n = 151) and 0.88 [0.72-0.95] (n = 21). We used this method to assess IF (mIF) during the first year after the kidney transplantation from 66 uncontrolled donors after circulatory death (uDCD). Both mIF and interstitial fibrosis (ci) according to the Banff classification significantly increased the first three months after transplantation. From M3 to M12, mIF significantly increased whereas Banff classification failed to highlight increase of ci. Moreover, mIF at M12 (p = 0.005) correlated with mean time to graft function recovery and was significantly associated with increase of creatininemia at M12 and at last follow-up. To conclude, the new morphometric image analysis method we developed, using a routine and cheap staining, may provide valuable tool to assess IF and thus to evaluate new sources of grafts.

Citing Articles

Computational pathology model to assess acute and chronic transformations of the tubulointerstitial compartment in renal allograft biopsies.

Augulis R, Rasmusson A, Laurinaviciene A, Jen K, Laurinavicius A Sci Rep. 2024; 14(1):5345.

PMID: 38438513 PMC: 10912734. DOI: 10.1038/s41598-024-55936-3.


Morphometric analysis of chronicity on kidney biopsy: a useful prognostic exercise.

Asghar M, Denic A, Rule A Clin Kidney J. 2024; 17(2):sfad226.

PMID: 38327281 PMC: 10849190. DOI: 10.1093/ckj/sfad226.


Computer-assisted evaluation enhances the quantification of interstitial fibrosis in renal implantation biopsies, measures differences between frozen and paraffin sections, and predicts delayed graft function.

Pavlovic M, Oszwald A, Kikic Z, Nackenhorst M, Kain R, Kozakowski N J Nephrol. 2022; 35(7):1819-1829.

PMID: 35438423 PMC: 9458593. DOI: 10.1007/s40620-022-01315-y.

References
1.
Wolfe R, Ashby V, Milford E, Ojo A, Ettenger R, Agodoa L . Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant. N Engl J Med. 1999; 341(23):1725-30. DOI: 10.1056/NEJM199912023412303. View

2.
Savoye E, Tamarelle D, Chalem Y, Rebibou J, Tuppin P . Survival benefits of kidney transplantation with expanded criteria deceased donors in patients aged 60 years and over. Transplantation. 2008; 84(12):1618-24. DOI: 10.1097/01.tp.0000295988.28127.dd. View

3.
Bayat S, Kessler M, Briancon S, Frimat L . Survival of transplanted and dialysed patients in a French region with focus on outcomes in the elderly. Nephrol Dial Transplant. 2009; 25(1):292-300. DOI: 10.1093/ndt/gfp469. View

4.
Wijnen R, Booster M, Stubenitsky B, de Boer J, Heineman E, Kootstra G . Outcome of transplantation of non-heart-beating donor kidneys. Lancet. 1995; 345(8957):1067-70. View

5.
Cho Y, Terasaki P, Cecka J, Gjertson D . Transplantation of kidneys from donors whose hearts have stopped beating. N Engl J Med. 1998; 338(4):221-5. DOI: 10.1056/NEJM199801223380403. View