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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.
Prospective data collection among patients with advanced kidney disease is essential to improve quality of care and reduce morbidity and mortality. Data on these outcomes is very limited in the Sri Lankan setting, despite the heavy burden of kidney disease. This is due to reliance on paper-based data entry, and the lack of electronic death and morbidity registries and linking patient identification numbers. The present study assessed the demographic and clinical characteristics and outcomes of patients undergoing dialysis in an academic renal centre, using real-time data collected using a simple google-based electronic data entry and visualization platform. The unit is in the hospital setting and therefore has a high number of patients who have newly been started on haemodialysis. However, due to limitations in access to chronic haemodialysis the majority of patients are long-term patients awaiting a fixed dialysis slot.
The study recruited all patients (n = 339) who had undergone haemodialysis in the selected tertiary care dialysis unit between May-October 2025. Demographic details, indications for dialysis (acute kidney injury, acute on chronic kidney disease or endstage kidney disease) and outcomes of the recruited patients were recorded. The outcomes were assessed as HD ongoing, HD in another centre, transplanted, transferred to peritoneal dialysis, dialysis withdrawn, deceased or unknown. Data was collected routinely using a newly introduced electronic data collection platform and data was entered by dialysis staff. Due to concerns about the accuracy of documenting the indication for dialysis during routine data collection, this was further adjudicated by the investigators. Unknown outcomes were assessed by contacting patients (or their next of kin) if they had not attended dialysis within the preceding two weeks. They were considered to be on ongoing HD if they had attended the unit within the previous two weeks. This assumption was based on the limitations in resources which require some patients to be on very infrequent dialysis and the inability to pre-assign dialysis slots for most patients.
The median age was 59 years (IQR 49.75 – 66.00). The male percentage was 62.5%. The indications for dialysis in the study population were endstage kidney disease (ESKD) 61.4%, acute chronic kidney disease (AKI/CKD) 13.3%, and acute kidney injury (AKI) 10.6%. 14.7% had been assigned a diagnosis of end-stage kidney disease which could not be verified. 22.4%(76) were on AVF, 7.1%(24) on permanent catheter, 44.8(152)% on temporary line. Vascular access of 87(25.7%) patients could not be traced due to incompleteness of data. On the date of analysis, of the 205 patients with verified ESKD, 69 had last received their dialysis by arteriovenous fistula, 22 by tunnelled dialysis line and 63 via a temporary line. There was no record for 52.
At the time of analysis (October 31st 2025) ,the outcomes of patients were as follows: HD ongoing 46.0%, deceased 18.3%, recovered from AKI 5.6%, HD in other government centres 8.2% HD in the private sector 1.8%, HD in both the private sector and the current unit 1.2%, undergone kidney transplant 1.5%, routine dialysis decided not started yet 0.9%, transferred to peritoneal dialysis 0.6%,and dialysis withdrawn 0.6% . For 90 patients (26.5%) the current status could not be identified, the most recent dialysis among these patients having been >1 month before. It was not possible to identify the first date of dialysis for survival analysis.
This study provides some preliminary data on short term outcomes of patients undergoing haemodialysis in an academic renal unit in Sri Lanka. The proportion of patients of temporary vascular access was high. While the electronic system was helpful in extracting lists of patients for outcomes assessment, this data was incomplete, demonstrating the need for a more robust method of follow up or data collection. Mortality was high, and may have been underestimated considering the proportion of unknown outcomes. We hope that the establishment of these electronically followed up prospective cohorts will provide higher quality data in the future. However, a robust method for assessment of outcomes of patients needs to be developed to reduce missing data.
