Survival Analysis of Time-to-Death of Hemodialysis Patients: the Case of Icmc General Hospital
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Date
2024-07
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Addis Ababa University
Abstract
Hemodialysis (HD) is a life-saving treatments for those with end-stage kidney disease. The main goal of this research is to identify the effect of covariates that affect the survival analysis of time – to – death of hemodialysis patients in ICMC General Hospital. The research is based on a retrospective cohort study. The data were extracted from a secondary source obtained from the records of 149 hemodialysis patients who were registered between March 1, 2019, and March 1, 2024, at ICMC General Hospital, Addis Ababa, Ethiopia. Among the total of 149 patient, 98 patients (65.77%) were still alive at the end of the study period, while the remaining 51 patients (34.23%) died during the study period. The total risk time for these patients was 15,693 person-weeks and the overall incidence rate of death is 32 per 10,000 person-weeks with median survival time of 207 weeks. Kaplan-Meier survival curves and the log-rank test were used to compare the survival experiences of different categories of patients. The semi-parametric Cox proportional hazards model was fitted to identify survival analysis of time–to–death of the hemodialysis patients by using statistical software STATA-16. The model considered provided good fit for the data. The results of Cox model analysis showed that age, types of vascular access, frequency of dialysis, hemoglobin level, creatinine, white blood cell count, red blood cell count and oxygen saturation showed significant effect on the survival time-to-death of patients undergoing hemodialysis within the study area. However, gender, hematocrit, calcium, adequacy of dialysis, iron and erythropoietin did not have significant effect. The study suggests that healthcare providers and clinicians should consider the identified statistically significant factors when assessing and managing hemodialysis patients in order to improve survival outcomes.
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Survival Analysis, Time-to-Death, Hemodialysis Patients, Case of Icmc General Hospital