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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.
High renal resistive index (RI) predicts poor renal outcome in chronic kidney disease. However, few data are available regarding whether renal RI is associated with renal prognosis in patients with glomerulonephritis. This study aimed to investigate the association between renal RI and a decline in estimated glomerular filtration rate (eGFR) in patients with IgA nephropathy, the most common form of glomerulonephritis.
We conducted a single-center 12-year retrospective cohort study in 133 patients who underwent RI measurement, out of 200 patients diagnosed with biopsy-proven IgA nephropathy between September 2000 and December 2008 and followed for at least one year. During the hospitalization for the diagnostic renal biopsy, anthropometric, physical, and laboratory measurements were collected. Doppler sonography was performed a few days after the renal biopsy. The RI was calculated as (peak systolic velocity – end-diastolic velocity)/peak systolic velocity. RI was measured three times in each kidney, and the mean of all measurements from both sides was used for analysis. A decline in eGFR was defined as a ≥30% reduction from the baseline value. We used multivariable Cox proportional hazards models to assess the association between renal RI and the decline in eGFR.
The median RI level was 0.577 (25th–75th percentile range: 0.552–0.607). During the 12-year follow-up, 27 patients experienced a decline in eGFR. Because of the nonlinear association between RI and the risk of a decline in eGFR, RI was categorized rather than analyzed as a continuous variable. RI was dichotomized at its 90th percentile value of 0.645 (>0.645: high RI, n = 13; ≤0.645: low RI, n = 120). Incidence rates in the high- and low-RI groups were 6.3 and 1.9 per 100 person-years, respectively. In the unadjusted model, the high-RI group was significantly associated with the risk of a decline in eGFR, compared with the low-RI group (HR: 3.54, 95% CI: 1.43–8.79). In multivariable models adjusted for clinical variables including age, sex, mean arterial pressure, eGFR, 24-hour urinary protein and hematuria score, high RI was independently associated with an increased risk of a decline in eGFR (HR: 4.00, 95% CI: 1.34–11.92). A similar association was observed after adjustment for histological findings including age, sex, mesangial score, segmental sclerosis, endocapillary proliferation, interstitial fibrosis, and crescent formation (HR: 4.37, 95% CI: 1.28–14.96), and the risk remained elevated even after additional adjustment for arteriosclerosis (HR: 5.29, 95% CI: 1.53–18.29).
High RI was independently associated with an increased risk of a decline in eGFR in patients with IgA nephropathy. These findings indicate that RI measurement may aid in risk stratification and prognostic assessment in clinical practice.
