ABSTRACT
Objective To compare the difference of all-cause mortality between diabetic and non-diabetic transplant recipients.Methods This population cohort study included all primary kidneyonly transplant recipients with data integrity between Jan.2000 and May 2017,the deadline date of follow-up was May 2018,and median follow-up period was 5.9 (range 1.1 to 17.1) years.According to whether the recipients had diabetes,they were divided into type 2 diabetes group (DM group),and no diabetes group (non-DM group).The clinical data of the two groups including recipients and donors were collected.The all-cause mortality and difference in dead causes were analyzed.Results Mortality was higher in DM group than in non-DM group.Compared with non-DM group,the relative risk(RR) for all-cause mortality in DM group was 2.25 (95％ CI:1.23-4.12).The cumulative survival rate in non-DM group was significantly higher than that in DM group(Log Rank P =0.035).The DM group aged younger than 40 years had the highest risk (RR 4.50),but there was no significant difference between the two groups at the age of ≥40 years.Compared with living donor and cadaveric donor renal transplantation,the relative mortality risk in DM group in DCD donor renal transplantation was highest (RR 2.68).The transplantation time did not change the multiple risk of death in both groups (adjusted RR 2.13).The first cause of death in two groups was infection (50％ in DM group vs.53.3％ in non-DM group).The difference was not statistically significant.Conclusion Kidney transplant recipients with type 2 diabetes had higher all-cause mortality than in those without diabetes.Compared with non-diabetic recipients,the age ＜40 years and receiving DCD for kidneys had a greater impact on the all-cause mortality of diabetic recipients.Infection was the leading cause of death in both groups.
ABSTRACT
Objective To compare the differences of the four estimating equations about MDRD,CKD-EPI eGFRcr,CKD-EPI eGFRcys,and eGFRcr-cysin evaluating the renal function of kidney transplant recipients,and explore the optimal equations to estimate the renal allograft function.Method Between January 2000 to March 2015,a total of 213 renal transplant recipients with data integrity were enrolled.eGFR was calculated using the equations:Modification of Diet in Renal Dis-ease [eGFR (MDRD),the creatinine-based equation (CKD-EPI eGFRcr),the CKD EPI cystatin C equation (CKD-EPI eGFRcys),and CKD EPI creatinine + cystatin C equation (CKD-EPI eGFRcr-cys) drafted by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) in 2009 and 2012.We assessed the performance of these four eGFR equations by Pearson correlation analysis,Bland-Altman plot,and Cox regression analysis.Result The incidence of reduced kidney function was 49.3％ using MDRD,43.7％ using eGFRcr,49.8％ using eGFRcys,and 52.1％ using eGFRcr-cys,respectively.In recipients with eGFR ≥60 ml·min· 1.73 m2 estimated by MDRD,19.5％ and 11％ had eGFR ＜60 ml·min·1.73 m2 re-estimated by eGFRcys and eGFRcr-cys respectively.Serum cystatin C was significantly correlated with serum creatinine,MDRD,eGFRcr,eGFRcr-cys with the correlation coefficient being 0.67,0.61,0.65,and 0.77 respectively.Only the CKD staging based on eGFRcr,and eGFRcr-cys was positively related to renal graft loss risk.eGFRcr,and eGFRcr-cys could not be replaced each other,and only eGFRcr-cys showed strong correlation with the other three equations.Conclusion As compared with others,eGFR (CKD-EPI-Creat + CysC) is more precise in estimating GFR and evaluating the renal graft loss risk.