Title of article :
Survival Rate and Predictors of Mortality among Hemodialysis Patients in West of Iran, 1996–2015
Author/Authors :
Khazaei, Salman Research Center for Health Sciences - Hamadan University of Medical Sciences, Hamadan, Iran , Yaseri, Mehdi Department of Epidemiology and Biostatistics - School of Public Health - Tehran University of Medical Sciences, Tehran, Iran , Nematollahi, Shahrzad Department of Epidemiology and Biostatistics - School of Public Health - Tehran University of Medical Sciences, Tehran, Iran , Zobdeh, Zahra Depatrment of Nursing and Midwifery - Valiasr Hospital of Tuyserkan - Hamadan University of Medical Sciences, Hamadan, Iran , Sheikh, Vida Department of Internal Medicine - Clinical Research Development Unit of Shahid Beheshti Hospital - Hamadan University of Medical Sciences, Hamadan, Iran , Mansournia, Mohammad Ali Department of Epidemiology and Biostatistics - School of Public Health - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Background: Hemodialysis (HD) is one of the treatments provided to end‑stage renal disease (ESRD)
patients. A few studies have investigated the survival rate of HD patients in Iran. Hence, we decided
to investigate the survival rate and it is predictors among Iranian ESRD patients. Methods: This is
a retrospective cohort study conducted in 165 HD patients in Tuyserkan city (Hamadan province)
during 20 years from 1996 to 2015. The checklist used to gather information was comprised of
patients’ demographic and clinical information. The analysis was performed using Kaplan–Meier
curves, log‑rank test, and cox regression model. Results: The most prevalent cause of ESRD was
reported to be high blood pressure (32.7%). The probability of survival rate at the end of 1st, 5th, and
10th year was 0.65, 0.16, and 0.05, respectively. Results of multivariate cox regression showed that
old age, catheter vascular access, and high hemoglobin level have a negative significant effect on
survival of HD patients (P < 0.05). Conclusions: Overall, the survival of HD patients seems to be
low in Tuyserkan as compared to other studies. Age, ESRD cause, vascular access, marital status, and
hemoglobin level among other factors are proved to have a significant effect on survival probability.
Keywords :
Cox regression models , end‑stage renal disease , hemodialysis patients , survival
Journal title :
Astroparticle Physics