Date: Sunday, June 3, 2018
Session Time: 4:30pm-6:00pm
Presentation Time: 4:42pm-4:54pm
Location: Room Hall 4B
Introduction: Primary glomerulonephritidies (GN) can recur in the renal allograft and are possibly associated with poorer allograft outcome. The prevalence of recurrence varies widely and large-scale studies on a UK population have never been performed. The NIHR Health Informatics Collaborative (HIC) was set up to collect and standardise patient data across the Comprehensive Biomedical Research Centres for the purposes of enabling translational research. Proof of concept was by delivery of an exemplar project. The exemplar project for the Transplantation theme is focusing on recurrent disease within renal allografts and epidemiological factors influencing recurrence.
Methods: Data is being collected on renal transplant recipients transplanted between 2005-16 at four UK transplant centres, namely Cambridge, Guy's, Imperial and Oxford. A total of 6001 recipients have been identified. Episodes of recurrent disease are being identified from histology reports using the development of text-mining software. The software output is being validated against manual clinical interpretation of 10% of reports.
Using the software we have calculated the prevalence of disease for each GN and are analysing demographic influences focusing on age, gender, ethnicity, type of transplant (live donation, DBD or DCD) and immunosuppression. We also studied the time to recurrence in each GN and the incidence of allograft failure.
Results: Preliminary results on 11.605 biopsy reports have demonstrated that FSGS and IgA nephropathy are the two most common recurrent diseases post-transplantation. We are now in the process of analysing the influence of various demographics on recurrence.
Discussion: This exemplar study demonstrates the ability of four large UK renal transplant centres to collaborate and produce large-scale data to support translational research in the future. Standardisation of data, especially unstructured data such as biopsy reports provides a major challenge for automated collection but can be overcome using modern computing. Such collaboration allows research into areas such as recurrent disease where numbers in individual centres are too small for meaningful analysis.
CITATION INFORMATION: Aguiar R. Multicentre Epidemiological Study on Prevalence of Recurrent Glomerular Disease Post-Transplantation in the United Kingdom Am J Transplant. 2017;17 (suppl 3).
To cite this abstract in AMA style:Aguiar R. Multicentre Epidemiological Study on Prevalence of Recurrent Glomerular Disease Post-Transplantation in the United Kingdom [abstract]. https://atcmeetingabstracts.com/abstract/multicentre-epidemiological-study-on-prevalence-of-recurrent-glomerular-disease-post-transplantation-in-the-united-kingdom/. Accessed October 20, 2020.
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