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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.
Patients undergoing dialysis are prone to volume overload, which can lead to cardiac enlargement. Consequently, left ventricular hypertrophy is a common and prognostically significant complication among individuals receiving maintenance hemodialysis. The left ventricular mass index (LVMI), calculated using transthoracic echocardiography (TTE), serves as a marker of cardiac hypertrophy. While the relationship between LVMI and prognosis has been reported, few longitudinal studies have explored the trajectory of LVMI and its clinical determinants. In this study, we examined changes in cardiac function, including LVMI, over time in patients undergoing maintenance hemodialysis.
This retrospective cohort study included 403 patients on maintenance hemodialysis who underwent at least one TTE between 2018 and 2023. Patients with a history of less than three months of dialysis were excluded. After applying additional exclusion criteria related to follow-up availability and data completeness, 359 patients with multiple TTE assessments and corresponding clinical data were analyzed. A linear mixed-effects model with random intercepts and slopes for each patient was used to estimate individual LVMI trajectories over time (in years since dialysis initiation). To visualize the trend in LVMI, a restricted cubic spline with three degrees of freedom was applied. Model-based estimates were used to derive predicted LVMI values and 95% confidence intervals (CIs), which were then plotted across dialysis durations.
The mean follow-up duration was 3.1±1.2 years. The mean age of the cohort was 68.5 years; 37% were female, and 55% had diabetes mellitus. Diabetic kidney disease (DKD) was the most common underlying condition. Electrolyte levels were appropriately controlled. The mean BNP level was 413.1±695.6 pg/mL. Echocardiography assessment showed LVEF of 63.7±9.4% and a mean LVMI of 115.0±38.3 g/m2. No significant changes were observed in LVEF over time. In contrast, the LVMI trajectory curve showed an initial increase up to approximately seven years after dialysis initiation, followed by a gradual decline. Multivariate regression analysis was conducted to identify factors associated with changes in the slope of the LVMI trajectory. Female sex (p<0.001), diabetes mellitus (p<0.001), higher hemoglobin (p=0.008), lower systolic blood pressure (p=0.011), and lower log-transformed brain natriuretic peptide (BNP; p<0.001) were significantly associated with greater increases in LVMI. Other variables, including age, albumin, BMI, calcium, phosphorus, CRP, and HDL, were not statistically significant.
These findings may help guide therapeutic strategies to mitigate cardiac remodeling in this high-risk population and underscore the importance of longitudinal monitoring and comprehensive cardiovascular risk management.
