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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.
Cardio-Kidney-Metabolic (CKM) syndrome reflects interrelated metabolic and renal abnormalities. However, the relative impact of each CKM component on the risk of chronic kidney disease (CKD) remains insufficiently defined.
We analyzed 176,944 UK Biobank participants without baseline CKD and with only one of the following CKM components: hypertension, diabetes mellitus, or dyslipidemia. Incident CKD was defined using linked clinical data. Cox proportional hazards models were applied to estimate multivariable-adjusted hazard ratios (HRs) for incident CKD, accounting for age, sex, race, smoking, alcohol intake, household income, and physical activity (METs). Bonferroni-adjusted pairwise contrasts were used to compare component-specific risks.
Over 2,072,972 person-years of follow-up, 6,114 incident CKD events occurred. The incidence rates per 1,000 person-years were 4.41, 1.74, 1.40, and 0.93 for hypertension, diabetes, dyslipidemia, and the no-risk reference group, respectively. In multivariable Cox models, hypertension was associated with the highest adjusted risk for CKD (HR 3.28; 95% CI: 2.96–3.65), followed by diabetes (HR 1.53; 95% CI: 1.21–1.93) and dyslipidemia (HR 1.35; 95% CI: 1.17–1.56), all p < 0.001. Bonferroni-adjusted pairwise comparisons confirmed that hypertension was significantly riskier than diabetes and dyslipidemia (p < 0.001 for both), while the difference between diabetes and dyslipidemia was not statistically significant (p = 1.00).
Among CKM syndrome components, hypertension is the strongest predictor of incident CKD. These findings support the importance of individualized risk stratification within the CKM framework and highlight hypertension as a key target for early renal prevention strategies.
