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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.
Renal outcomes in ANCA-associated vasculitis (AAV) exhibit variability due to the heterogeneous nature of the histopathology and its clinical presentation. Previous studies have primarily focused on outcomes such as end-stage kidney disease (ESKD) or mortality and were inadequate for evaluating the initial treatment’s response. On the other hand, short-term changes in estimated glomerular filtration rate (eGFR) within 1–2 years may serve as surrogate endpoints reflecting initial treatment response. Therefore, the objective of this study was to identify predictors of the early renal outcomes within 2 years after initial treatment by integrating clinical and histopathological parameters using data-driven modeling.
We analyzed retrospectively the 51 biopsy-proven AAV cases diagnosed between 2002 and 2015. The clinical variables included age, baseline eGFR, C-reactive protein (CRP), serum hemoglobin level, ANCA titer, the rate of serum creatinine increase (ΔsCr/day) prior to biopsy, grade of hematuria, proteinuria and blood pressure. The histopathological indices included the proportions of normal glomeruli, globally sclerotic glomeruli, segmental sclerosis, active crescents, fibrous crescents and adhesion among the total number of glomeruli. The degrees of tubular atrophy/interstitial fibrosis and extension of inflammatory cells in the interstitium were assessed in 10% of increments. The prognostic factors for 1- and 2-year eGFR were identified using Least Absolute Shrinkage and Selection Operator (LASSO) and Partial Least Squares (PLS) regression. Correlation networks were applied to explore inter-variable relationships, hierarchical cluster analysis, and decision tree modeling were subsequently performed to develop clinically intuitive stratification rules.
Both LASSO and PLS identified baseline eGFR, ΔsCr/day, and hemoglobin level and proteinuria as major clinical predictors, while percentage of globally sclerotic and normal glomeruli, and an extent of interstitial inflammation were key histopathological factors. Active crescents and tuft necrosis showed no significant association with early renal outcomes. Cluster analysis based on eGFR trajectories revealed three subgroups: favorable (Cluster 0), poor (Cluster 1), and recovery (Cluster 2) types. The recovery group was characterized by higher hemoglobin level, more frequent normal glomeruli, and less interstitial inflammation. The decision tree model used baseline eGFR as the first split variable; in cases with eGFR 6–23 mL/min, biopsy parameters (percentage of normal/sclerotic glomeruli) and serum hemoglobin level improved discrimination, whereas in cases with preserved (>23 mL/min) or severely reduced (<6 mL/min) eGFR, histopathological information contributed minimally to prognosis prediction (figure 1).
Data-driven modeling identified key clinical and histopathological predictors of early renal outcomes in AAV, which were consistent with the major branching variables in the decision tree analysis following cluster analysis. This integrated framework may facilitate individualized risk stratification and support practical decision-making in clinical practice.
