Survival Rate of Hemodialysis Patients: A Competing Risk Analysis Approach

Background: Chronic kidney disease, a global health problem, leads to end-stage whose treatment requires long-term renal replacement therapy. The incidence of hemodialysis patients with disease is increasing worldwide. survival rate crucial for decision-making and planning. Objectives: This study aimed determine the its related factors using competing risk analysis approach acquire more precise estimations mortality patients. Methods: was primarily based on medical records who started dialysis from January 2011 December 2017. end follow-up period 2021. included 214 eligible Death regarded as event interest, transplantation risk, other consequences censored. We analyzed data by cumulative functions, Gray’s test, Fine-Gray regression model R version 4.1.2 Stata v.16 at significance level 0.05. Results: median age initiation 60 years. risks death in first, second, third, fourth, fifth years were 18.3%, 31.7%, 41.6%, 49.9%, 60.9%, respectively. In model, (P-value = 0.000) education associated mortality. Conclusions: Competing estimates are reliable than conventional approaches (e.g., Kaplan–Meier estimator) planning improving interventions allocating resources. Detection younger patients' knowledge plays significant role their survival.