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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Allocation of a donor to the recipient based on organ quality with anticipated outcomes remain a major challenge in deceased donor kidney transplantation (DDKT). The Kidney Donor Profile Index (KDPI) is the leading scoring system for evaluating the risk associated with the donor in DDKT. This study evaluated the quality of deceased donor kidney and analyzed the transplant outcomes using KDPI-based risk stratification.
This study retrospectively assessed the patients who underwent DDKT at our institution from 2019 to 2023. The KDPI score was calculated using the Organ Procurement and Transplantation Network (OPTN) online calculator. KDPI was categorized into <35%, 35-85% and >85%. All patients received induction with anti-thymocyte globulin and was put on triple immunosuppressive regimen. The recipients were monitored until death or for a maximum period of one year. SPSS version 25 was employed for statistical analyses considering p value <0.05 as statistically significant.
There were 49 DDKT in our study with a mean KDPI of 39.3±26.7%. Donors with a KDPI categories of <35%, 35-85% and >85% were transplanted among 51%, 37%and 12% recipients respectively. Dialysis vintage was statistically significantly higher (61.8±37.0 months) in >85% KDPI category in comparison to 35-85% (41.2±22.1 months) and <35% (35.7±17.1 months) KDPI categories. Donor renal impairment, delayed graft function and acute rejection were significantly more common in higher KDPI categories. Patient survival was 96.0%, 77.8% and 16.7% and graft survival was 96%, 61.1% and 16.7% among KDPI categories of <35%, 35-85% and >85% respectively, which were also statistically significant. One year graft loss was significantly associated with KDPI category of >85% (HR: 8.17, 95% CI: 2.61–25.61) as well as dialysis vintage (HR: 1.03, 95% CI: 1.00–1.05) and cold ischaemia time (HR: 1.41, 95% CI: 1.02–1.94).
The KDPI has been found to be a well-established tool in predicting outcome in DDKT. It may serve as an adjunct clinical tool for evaluating donor quality and prediction of transplantation outcomes, aiding in prognosis of patient and graft survival.
