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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.
Risk equations to predict kidney failure have been developed allowing clinicians to intensify therapy in high-risk groups. However, it is unknown if these risk categories are associated with pathological features. The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict 2-year risk of kidney failure.
We evaluated if kidney pathological features were associated with the KFRE categories in the Kidney Precision Medicine Project (KPMP) in 266 individuals with chronic kidney disease and GFR<60 ml/min/1.73m2. We used chi square test for categorical variables and anova for continous variables.
Participants were 46% female, 37% African American, 44% White and 25.5% Latino with an average age of 57.5 (13.1) years. Given the inclusion criteria for KPMP, the majority of participants were in the moderate (60.2%) and high-risk category (33.1%). The majority of individuals entered the study based on the diabetes kidney disease (71.3%) criteria and an additional 28.7% based on hypertension criteria. In individuals with diabetes, there was no association between the diabetes glomerulopathy stages and KFRE risk categories. The distribution of absent, mild-mod and severe arteriosclerosis was similar across KFRE categories. In the severe KFRE category, 3.3% had no arteriosclerosis, 61.7% had mild-mod and 35% severe arteriosclerosis. Eosinophils were more likely to be present in mild category (22.2%) compared to severe category (14%). Higher fibrosis (2-3+) was more common in the high-risk KFRE category (57.6%) but was not significantly different from mild (55.6%) and moderate (49.1%) KFRE category. Hyalinosis was absent in 22.2% of individuals with mild risk compared to 21.2% in moderate risk and 13.6% in severe risk.
There are no significant pathological differences identified by KFRE categories in individuals in KPMP. In the future, we will evaluate the molecular signatures of each KFRE categories.
