Back
For best output, select "Paper Size" as "A4" and "Margin" as "0" or "None".
To save or print to PDF, please select Print Destination > Save as PDF, enable Background Graphics under "More Settings", then click "Save".
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.
Individuals with chronic kidney disease (CKD) undergoing maintenance dialysis encounter substantial lifestyle restrictions, emotional strain, and economic challenges that together affect their overall quality of life (QoL). With the expanding use of various dialysis modalities in India, it is increasingly important to evaluate their influence on patient-reported quality-of-life outcomes. Aim of the study was to assess quality of life indices in patients undergoing maintenance dialysis and compare QoL between in-hospital dialysis (hemodialysis/Hemodiafiltration) and home peritoneal dialysis (PD).
The cross-sectional study was conducted over one year in a tertiary care hospital from North India. Adult CKD stage 5D patients on maintenance dialysis for ≥3 months were enrolled after informed consent. Exclusion criteria included neurological deficit, psychiatric illness, substance abuse, and viral seropositivity (HBsAg/HCV/HIV). Demographic, clinical, and biochemical data were recorded. QoL was assessed using the WHOQOL-BREF questionnaire, encompassing four domains—physical, psychological, social, and environmental. Statistical analysis was performed using IBM SPSS v28. Continuous variables were analyzed using t-test or ANOVA; categorical data with Chi-square test. A p-value < 0.05 was considered significant.
A total of 114 dialysis patients (90 in-hospital, 24 PD) were included. Among the in-hospital group, 43 patients received HD and 47 HDF. Mean age was 55.96 ± 14.56 years, 64.9% were male, and mean BMI was 25.66 ± 4.85 kg/m². Most patients (96.5%) had comorbidities—hypertension (91.2%), diabetes (28.9%), and thyroid disorder (14.9%). Mean dialysis vintage was 3.43 ± 3.21 years. Biochemical parameters were comparable between groups except for higher serum creatinine and PTH, and lower calcium and SGOT levels in the in-hospital group. Overall mean WHOQOL-BREF scores were: physical 54.08 ± 8.70, psychological 56.70 ± 8.49, social 52.30 ± 9.83, and environmental 52.98 ± 8.29; total 54.02 ± 6.24. Compared with PD, in-hospital dialysis patients had significantly lower physical, psychological, and environmental domain scores, but higher social domain scores. Overall QoL did not differ significantly between HD + HDF and PD. QoL showed no association with age, sex, BMI, or major comorbidities, though thyroid disorders and higher phosphorus and TSH levels correlated negatively with QoL. Among in-hospital patients, dialysis frequency had no effect on QoL, but HDF patients had significantly better domain and total scores than HD patients. On comparison across modalities, HD patients demonstrated the lowest QoL in all domains except social, where HDF patients had the highest scores.
Maintenance dialysis significantly impairs patients’ quality of life. Among modalities, home peritoneal dialysis and in-hospital hemodiafiltration were associated with better QoL than conventional hemodialysis. These findings highlight the need to promote patient-centric, home-based dialysis options and optimize comorbidity management to improve overall well-being in Indian dialysis populations. Further studies with larger sample sizes are recommended to explore various dimensions of the problem and interrelationships of different factors affecting quality of life.
