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Abstract Background Chronic kidney disease is a progressive disease that affects more than 10% of the world's population and is also the leading cause of death in the twenty-first century. Furthermore, it imposes a significant financial burden on people undergoing hemodialysis. However, there is little research, particularly in the study area, on time to death and its predicators among hemodialysis patients in Ethiopia; therefore, knowing time to death and identifying predicators that affect survival time is crucial in order to improve survival time and enhance the prognosis of hemodialysis patients. The aim of this study was to assess time to death and its predictors among patients with chronic kidney disease on hemodialysis at a dialysis unit in Addis Ababa, Ethiopia, in 2023. Methods An institution-based retrospective cohort study was carried out among 370 chronic kidney disease patients on hemodialysis from January 1st, 2017 to December 30th, 2022. Data were extracted from April 1st–May 20th, 2023, and each variable was coded and entered into Epi Data version 3.1 and then exported into STATA version 15 software for analysis. Kaplan–Meier and the log-rank test were done. Bivariable Cox-proportional regression was done, and a variable whose p-value was |
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