Relationship between biochemical indices in hemodialysis patients and mortality; survival analysis

Abstract

Introduction: People with chronic kidney disease (CKD) undergoing hemodialysis pay high costs and suffer from complications like premature death. Objectives: This study was conducted to determine the relationship of various blood parameters in hemodialysis with premature death. Patients and Methods: In this cross-sectional study, 90 hemodialysis patients were enrolled using consensus sampling method. Demographic characteristics were recorded. Additionally, serum level of ferritin and biochemical parameters were assessed. The log-rank test for survival probability and Cox proportional-hazards model were applied to examine the correlation between assessed factors and the risk of premature death. Results: The results of log-rank test showed that only coronary artery disease (CAD) and serum ferritin have a role in predicting survival probability, since the survival rate of the people with and without CAD was about 25 months (with a confidence interval of 37.60 - 12.36) and 46 months (with a confidence interval of 51.63-40.36) (P = 0.041) respectively. Conclusion: It seems that both serum ferritin levels and cardiovascular diseases are effective factors to predict premature death in hemodialysis patients.