Assessing Risk Indicators of Allograft Survival of Renal Transplant: An Application of Joint Modeling of Longitudinal and Time-to-Event Analysis

摘要: After kidney transplantation, many risk factors can lead to graft rejection and force the patient return dialysis treatment. Objectives: This study aims identify indicators of renal failure, such as serum creatinine, on long-term survival, using a novel statistical technique. Methods: In this historical cohort study, 129 patients who underwent transplants were assessed followed up from September 2003 December 2014 in Urmia, Iran. The main outcome was assessing survival rate transplant in these subjects. addition, creatinine levels measured repeatedly for one year after operation, the most important indicator failure. effect other using joint modeling longitudinal technique, R software, version 3.0.2. Results: One-, three-, five-, ten-year 93.8%, 86.8%, 76.6%, 37.4%, respectively. results joint model showed that indicators, level (P < 0.0001, HR = 1.82), patient’s age 0.006, 1.03), antithymocytes globulin 0.019, 2.57) had significant relationship survival. Conclusions: general, our showed short-term failure Iran is almost equal reported rates some developed countries, but its rather high compared same countries. context, monitoring postoperative risk rejection, level, plays an role increasing rate of transplantation. present model be used design similarly structured datasets