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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.
Dialysis patients frequently become lost to follow-up or are no longer enrolled in maintenance dialysis clinics due to various reasons such as hospitalization or mortality. In this study, we investigated the 1-year non-enrollment rate from outpatient dialysis facilities due to prolonged hospitalization lasting more than one month or death. We analyzed its association with nutritional status and serum phosphate levels. Additionally, we developed a prediction model for the 1-year non-enrollment rate and evaluated its utility.
Subjects: This study targeted 9,211 maintenance dialysis patients (6,453 males, 2,758 females, age 69.0 ± 13.0 years) enrolled at Zenjinkai Group dialysis facilities (2 hospitals and 82 clinics) as of the beginning of December 2022. For the 1-year non-enrollment rate prediction model, data from 7,186 patients (5,044 males, 2,142 females, age 68.8 ± 12.8 years) were analyzed, excluding those with missing nutritional data or patients no longer enrolled due to reasons other than prolonged hospitalization or death over the 1-year period.
Methods: The 1-year non-enrollment rate of patients enrolled at the beginning of December 2022 was compared between the actual measurements and the values calculated from the prediction model at the 1-year follow-up. The prediction model was developed using logistic regression analysis, incorporating seven factors: age, dialysis history, serum albumin levels, changes in dry weight over the past 6 months, BMI (Body Mass Index), nPCR (normal protein catabolic rate), and %CGR (%creatinine generation rate). Additionally, the performance of this model was compared with actual measurements. Further analysis was conducted to evaluate whether serum phosphate levels, gender, and the presence of diabetes contribute to improving the accuracy of this model.
One year after 2022, the 1-year non-enrollment rate was 12.5% (1,152 patients), while the predicted rate was 12.2% (1,122 patients), with the predicted value closely matching the actual value. The 1-year non-enrollment rate prediction for the group with average value of serum phosphate level for 2 months consistently within the target range recommended by the Japanese Society for Dialysis Therapy (JSDT) (3.5–6.0 mg/dL, established in 2012) was 6.9%. However, when serum phosphate levels were 1.0 mg/dL lower than the target lower limit or 1.0 mg/dL higher than the upper limit, the rate increased to 10.5%. The 1-year non-enrollment rate was 40% higher in males compared to females, 60% higher in patients with diabetes compared to those without, indicating a higher risk (Odds ratio: 1.37 for males (vs. females) [95% confidence interval: 1.15–1.64], P = 0.0005), after adjusting for nutritional evaluation parameters including age.
The 1-Year Non-Enrollment Prediction Model developed in this study closely reflected actual measurements and is considered useful in clinical practice. In addition to improving nutritional status, controlling serum phosphate levels within the management target range set by the JSDT is expected to help suppress the increase in the 1-year non-enrollment rate.
