Analysis of risk factors for allograft survival by COX model after renal transplantation
- VernacularTitle:肾移植预后影响因素的COX模型分析
- Author:
Liping JIANG
;
Shan-Lian HU
;
- Publication Type:Journal Article
- Keywords:
Kidney transplantation;
Prognosis;
COX regression model
- From:
Chinese Journal of Urology
2001;0(06):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the factors influencing the long-term allograft survival in cadaver- ic renal transplantation.Methods Parameter data were obtained from 249 patients who received immuno- suppressive agents after renal transplantation.Health resources were evaluated for 1-5 years;and 14 relevant factors,including age,sex,therapeutic regimen choice and complications,etc were analyzed.Life table method and COX regression model were used to analyze the risk factors influencing the outcomes and to calculate the survival rates.Results Following renal transplantation,the survival rates of recipients who lived for 1,2 and 3 years were 72.6%,56.0% and 40.8%,respectively;and the rates of those who lived for 4 and 5 years both were 22.5%.The median survival time was 34.9 month.With the therapy prolonged,the survival benefit in MMF group was superior to that in AZA group,with the median survival time being 38.9 months 30.6 months,respectively.COX regression model showed that the main predictive factors were treatment regi- men(P=0.000),follow-up period(P=0.000),patient's compliance(P=0.000),acute rejection episode (P=0.020),sex(P=0.001)and hospitalization period(P=0.040).Conclusions Life table and COX regression model are useful methods for evaluating long-term outcome and influencing factors in renal trans- plant patients.
