Wcn26-2591 Automated Kidney Failure Risk Equation (Kfre) Reporting and Its Influence on Physician Practice in a Tertiary Private Hospital in Kuala Lumpur

Introduction: Loss of the kidney graft often requires return to dialysis, a scenario associated with high morbidity and mortality.Identifying prognostic factors is essential to improve outcomes.Methods: We conducted a retrospective multicenter study in two Spanish university hospitals, including 91 patients who resumed dialysis after graft failure between January 2017 and June 2025.Clinical and functional variables were collected.Survival was assessed with Kaplan-Meier and Cox proportional hazards models.Results: Baseline characteristics are summarized in Table 1.Median survival after dialysis resumption was 27.7 months.Infections were the leading cause of hospitalization (54.9%) and death (57%).Independent predictors of higher mortality were: -Diabetes mellitus: HR 4.51 (95% CI 1.97-10.30),p < 0.001 -Number of hospitalizations: HR 1.15 per admission (95% CI 1.06-1.24),p = 0.001Retransplantation emerged as a protective factor (HR 0.56, 95% CI 0.32-0.97,p = 0.040). Conclusion:In this Spanish multicenter cohort, retransplantation significantly improved survival among kidney transplant recipients returning to dialysis.Anticipated access to retransplantation is essential to maximize this benefit.Conversely, diabetes and frequent hospitalizations were associated with increased mortality, while infections remained the leading cause of death.These findings underscore the need to expand anticipated retransplantation opportunities and to implement intensified infection prevention and management strategies in this high-risk population.I have no potential conflict of interest to disclose.I used generative AI and AI-assisted technologies in the writing process.During the preparation of this work, I used ChatGPT (OpenAI) to assist in improving the clarity and English grammar of the abstract text.