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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.
Chronic kidney disease (CKD) is a well-recognised risk factor for premature mortality. However, long-term community-based data from India are limited. Our study examined mortality rates and predictors of death over 13 years of follow-up among adults screened for CKD in 2008–2009.
We included 1,330 adults who had participated in a community-based CKD screening conducted in 2008–2009. Based on the MDRD equation, 428 participants were classified as having CKD and 902 as having normal kidney function (NKF), while using the CKD-EPI equation, 171 were classified as CKD and 1,159 as NKF. Baseline demographic, clinical, and biochemical characteristics were recorded. Follow-up was conducted until 2023 to ascertain mortality status. Information on year and cause of death was obtained through household surveys and verification with local health records if available. Mortality risk factors among individuals with CKD were analysed using Cox proportional hazards regression. Survival analysis was performed using Kaplan–Meier estimates. A sensitivity analysis was conducted using CKD-EPI equation to assess the robustness of survival estimates obtained with the MDRD equation. We used Python (version 3.12) in Jupyter Notebook to perform statistical analysis.
Of the 1,330 individuals screened during 2008–2009, follow-up information was successfully obtained for 1,116 participants (84%). Over a median follow-up of 13 years, the all-cause mortality rate among those with known outcomes was 21.6% (n = 241/1,116), the median age at the time of death was 71years (28, 96), and 56% were female. Based on the MDRD equation, mortality was 30.1% (129/428) among individuals with CKD and 12.4% (112/902) among those with normal kidney function, whereas using the CKD-EPI equation, mortality was 44.4% (76/171) and 14.2% (165/1159), respectively. In the CKD cohort defined using the MDRD equation, increasing age (HR 1.08, 95% CI 1.06–1.10, p < 0.005) and baseline lower eGFR (HR 0.97, 95% CI 0.95–0.99, p = 0.01) were independent predictors of mortality, while farming occupation was protective (HR 0.36, 95% CI 0.18–0.69, p < 0.005). In the CKD-EPI–defined cohort, older age (HR 1.09, 95% CI 1.06–1.13, p < 0.005) and alcohol use (HR 9.92, 95% CI 1.95–50.40, p = 0.01) were independently associated with higher mortality. Kaplan–Meier estimates showed 14-year survival probabilities of 0.66 using the MDRD equation and 0.51 using the CKD-EPI equation (log-rank p = 0.0005). Sensitivity analysis using the CKD-EPI equation revealed a comparable pattern of reduced survival, with slightly lower probabilities than those obtained using the MDRD equation. In CKD defined using the MDRD equation, deaths were mainly cardiac (17.1%) and cancer-related (7.8%), with 61.2% unknown, whereas using the CKD-EPI equation, cardiac (14.5%) and cerebrovascular (9.3%) causes predominated, and 64.5% were undetermined.
CKD was linked to higher mortality, primarily due to cardiac causes. Mortality risk rose with age, lower baseline kidney function, and alcohol use, whereas farming was protective. Slight survival variations across eGFR equations underscore the need for standardized eGFR equations.
