Influence of early graft function after renal transplantation and its impact on long-term graft and patient survival.

OBJECTIVE: To determine whether early graft function after transplantation impacted graft and patient survivals. MATERIALS AND METHODS: Between 1981 and 2008, we performed 1308 renal transplantations. Poor early graft function was defined as a Cockroft-Gault glomerular filtration rate<60 mL/min or less at 1 and 3 months posttransplant. Patients who lost their kidney or died within the first 12 months after transplantation were excluded from the study. Multivariate statistical analysis used Cox proportional hazards models. RESULTS: Of the 1308 patients 994 (78.8%) displayed poor early graft function at 1 month after transplantation (glomerular filtration rate<60 mL/min), while 268 (21.2%) showed normal function (glomerular filtration rate≥60 mL/min). The 2- and 6-year graft survival rates among the poor early graft function group were 96.8% and 85.8%, respectively, while those among the control group were 97.0% and 88.3%, respectively. The 2- and 6-year patient survival rates in the poor early graft function were 98.5% and 89.8% versus 98.9% and 96.3% in the control group. Similar results were observed at 3 months posttransplant. Controlling for patient age, donor age, HLA-AB and -DR mismatches, cold ischemia time, acute rejection episodes, cyclosporine therapy, and waiting time for transplantation, we did not observe early graft function to be a risk factor for graft survival or patient survival. Glomerular filtration rate at 2, 5, and 6 years after kidney transplantation was significantly lower in the poor early graft function than in the control group. CONCLUSION: This study suggested that the quality of early graft function had no significant effect on graft and patient survival rate, but did have a significant influence on long-term renal function.

Incidence of cardiovascular events in renal transplant recipients and clinical relevance of modifiable variables.

INTRODUCTION: The aims of this study were to quantify the incidence of cardiovascular events and identify the clinical relevance of modifiable variables. MATERIALS AND METHODS: The 1729 patients who underwent renal transplantation from 1981 to 2004 were evaluated in an observational, prospective follow-up study with no exclusions. A cardiovascular event was defined as the presence of ischemic cardiac disease (chest pain-myocardial infarction), cardiac insufficiency, arrhythmia (auricular fibrillation), peripheral vascular disease, or cerebrovascular accident. A survival analysis was performed using the Kaplan-Meier method. A Cox regression analysis was applied. Having identified the predictive variables of cardiovascular events, the population attributable fraction (PAF) and the etiological fraction (EF) were estimated. A risk score was calculated using Cox regression coefficients. RESULTS: The accumulated incidence of cardiovascular events was 22.2%, with an incidence rate of 468.6 x 10,000 follow-up years. From the Cox regression model, the variables with an independent effect close to statistical significance to predict cardiovascular events were as follows: recipient age (RR = 1.05), smoking at the time of the transplantation (RR = 2.1), left ventricle hypertrophy during follow-up (RR = 2.4), prior diabetes mellitus, and obesity (body mass index >or=30). At the time of transplantation, 41.7% were smokers. During follow-up, a clear difference was observed in the incidence rates of cardiovascular events between smokers and nonsmokers. Similar phenomena were observed for left ventricle hypertrophy and obesity. The resulting scores ranged between 0 and 5. The area under the ROC curve of the score for the prediction of cardiovascular events was 0.74. CONCLUSION: The incidence of cardiovascular events was consistent with the literature. A series of modifiable variables of major clinical relevance exist to decrease the frequency of cardiovascular events following renal transplantation.

Basiliximab (Simulect) in renal transplantation with high risk for delayed graft function.

BACKGROUND: Basiliximab (Simulect) is effective in reducing episodes of acute rejection in renal transplantation. Delayed graft function (DGF) predisposes to acute rejection and shortens graft survival. The aim of this study was to determine the effects of basiliximab in renal transplantation recipients at high risk for DGF. METHODS: We studied 87 patients (mean age, 59 years), 42 of whom received basiliximab, 20 mg before transplantation and 20 mg on day 4. This cohort was compared with 45 patients without basiliximab. All received cyclosporine (51%) or tacrolimus (49%), mycophenolate mofetil, and steroids. DGF was defined as the requirement for dialysis within the first week after transplantation or failure to improve preexisting renal function. High-risk factors for DGF were cold ischemia time, recipient and donor age, non-heart-beating donor, HLA matching, and panel reactive antibody (PRA). RESULTS: The incidence of DGF was 18 (43%) in the basiliximab group versus 28 (62%) in the other patients (P = .07). When allografts from non-heart-beating donors were excluded, this incidence was 14 (38%) in the basiliximab group versus 28 (62%) in the other patients (P = .04). Regression analysis showed basiliximab to be a protective factor: 0.26 (range, 0.09-0.76). Basiliximab was well tolerated, and complications were similar in both groups. CONCLUSIONS: Basiliximab reduced the incidence of DGF in patients who received a high-risk allograft. It was well tolerated, and no adverse events were reported. The use of basiliximab may be considered in patients receiving an allograft who are at high risk for DGF.