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Incidence, Risk Factors, and Effect on Allograft Survival of Glomerulonephritis Post-transplantation in a United Kingdom Population: Cohort Study

Authors :
Rute Aguiar
Elli Bourmpaki
Catey Bunce
Bola Coker
Florence Delaney
Leonardo de Jongh
Giovani Oliveira
Alistair Weir
Finola Higgins
Anastasia Spiridou
Syed Hasan
Jonathan Smith
Abdulrahim Mulla
Ben Glampson
Luca Mercuri
Rosa Montero
Maria Hernandez-Fuentes
Candice A. Roufosse
Naomi Simmonds
Menna Clatworthy
Adam McLean
Rutger Ploeg
Jim Davies
Kinga Anna Várnai
Kerrie Woods
Graham Lord
Rishi Pruthi
Cormac Breen
Paramit Chowdhury
Apollo - University of Cambridge Repository
Source :
Frontiers in Nephrology. 2
Publication Year :
2022
Publisher :
Frontiers Media SA, 2022.

Abstract

BackgroundPost-transplant glomerulonephritis (PTGN) has been associated with inferior long-term allograft survival, and its incidence varies widely in the literature.MethodsThis is a cohort study of 7,623 patients transplanted between 2005 and 2016 at four major transplant UK centres. The diagnosis of glomerulonephritis (GN) in the allograft was extracted from histology reports aided by the use of text-mining software. The incidence of the four most common GN post-transplantation was calculated, and the risk factors for disease and allograft outcomes were analyzed.ResultsIn total, 214 patients (2.8%) presented with PTGN. IgA nephropathy (IgAN), focal segmental glomerulosclerosis (FSGS), membranous nephropathy (MN), and membranoproliferative/mesangiocapillary GN (MPGN/MCGN) were the four most common forms of post-transplant GN. Living donation, HLA DR match, mixed race, and other ethnic minority groups were associated with an increased risk of developing a PTGN. Patients with PTGN showed a similar allograft survival to those without in the first 8 years of post-transplantation, but the results suggest that they do less well after that timepoint. IgAN was associated with the best allograft survival and FSGS with the worst allograft survival.ConclusionsPTGN has an important impact on long-term allograft survival. Significant challenges can be encountered when attempting to analyze large-scale data involving unstructured or complex data points, and the use of computational analysis can assist.

Details

ISSN :
28130626
Volume :
2
Database :
OpenAIRE
Journal :
Frontiers in Nephrology
Accession number :
edsair.doi.dedup.....4524d70aded602e5423755308fa6a7b6
Full Text :
https://doi.org/10.3389/fneph.2022.923813