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Background Donor and recipient age in kidney transplantation are known to affect graft and patient survival. To address the question of whether the age difference between donor and recipient impacts on graft survival and death-censored graft survival after transplantation, we examined the impact of age matching (less than 10-year age difference) on the survivals after living donor kidney transplantation. Methods Two hundred one cases of the primary living donor kidney transplantation were performed and were divided into two groups, age-matched (n = 123) versus age-discrepant (n = 78). Variables included in this study were age, gender, body weight, height, kidney disease, type and duration of dialysis before transplantation, degree of human leukocyte antigen mismatch, ischemic time, graft weight, episode of rejection, type of immunosuppression, recipient serum creatinine after transplantation, and causes of patient death and graft loss. Results We observed the disparities of graft survival (P = .008) and death-censored graft survival (P = .003) between the groups. One-, 3-, and 5-year death-censored graft survival was 100%, 100%, and 97% in the age-matched group, respectively; and 97%, 90%, and 88% in the age-discrepant group, respectively. By Cox regression multivariate analysis, the variable of age-matching was an independent predictor for both graft survival (s = 1.325, P = .017) and death-censored graft survival (s = 2.217, P = .021). Conclusion During living donor and recipient matching, age difference between donor and recipient should be minimized.

Introduction The use of new selective immunosuppressants as well as the emergence of new antimicrobial resistances raise the use of prophylactic antibiotics as a matter of controversy. The purpose of this study was to retrospectively analyze the clinical significance of prophylactic antibiotics in kidney transplantation. Methods This retrospective study included 174 renal allograft recipients who were divided into two groups: group A including patients who received perioperative prophylactic antibiotics and group B, who did not receive them. We analyzed who the incidence of infectious complications as well as the causative micro-organisms and their antimicrobial resistance within 1 month after kidney transplantation. Results Overall bacterial infections were observed during the first postoperative month in 13 cases (7.4%): 6 (3.4%) surgical site 4 (2.3%) urinary tract, 2 (1.1%) bacteremic, and 1 (0.6%) central catheter infections. There was no respiratory infection. The incidence of bacterial infection was not significantly different between the two groups. The major micro-organisms isolated after kidney transplantation, were Staphylococcus aureus and Escherichia coli; both of which had already shown multidrug resistance at the initial time of infection. Conclusion Not only did use of prophylactic antibiotics have little impact to prevent bacterial infections after kidney transplantation, but also it may induce antimicrobial resistance against the antibiotics used for prophylaxis. Moreover, the increased antibiotic resistance prior to kidney transplantation hampers the effectiveness of prophylactic antimicrobial agents. Guidelines for perioperative antibiotic prophylaxis should be therefore revised.

Many studies have explored the participation of cytokines and their genes in renal allograft rejection by using biopsy tissues. To screen for rejection, a biopsy is too invasive to perform without a clinical clue. Therefore, we studied the expression of cytokines that contribute to the early phase of allograft rejection by analyzing mRNA transcripts in sequential blood samples of peripheral blood mononuclear cells (PBMCs) 120 of 6 among patients transplanted before diagnosis of rejection. for comparison with 6 control recipients. The relative expression amount of cytokine genes encoding interleukin (IL) 2, IL-4, IL-10, IL-15, and interferon-γ were assessed using real-time reverse-transcription polymerase chain reactions. IL-2, IL-4, and IL-15 mRNA expressions in clinically stable prerejection phase of the rejection group were significantly higher than those of the control group. In the prerejection samples, the expression of mRNA encoding IL-10 negatively correlated with the expressions of IL-2, IL-4, and IL-15 mRNAs, which were not different from the positive correlations in the postoperative samples from the control group. The expression patterns of IL-2, IL-4, IL-10, and IL-15 genes in PBMCs after transplantation may help to identify acute rejection episodes before clinical deterioration to monitor the efficacy of immunosuppressive treatment.

The functional capacity of each kidney of a healthy donor may change under the influence of genetic and environmental factors. An assumption that the donor kidneys show equal function is not always true. As part of the pre-nephrectomy evaluation of potential donors, radioisotope renal scintigraphy using technetium-99m diethylenetriaminepentaacetic acid (99mTcDTPA) was routinely included to evaluate renal functional asymmetry of undetermined etiology. The functional ratios of each kidney using 99mTcDTPA as well as serum creatinine (Scr) and creatinine clearance (Ccr) in a 24-hour urine were measured and calculated from a hundred donors. The left kidneys showed greater function (51.67%-53.35% under 95% confidence interval [CI]) and the average left versus right ratio was 52.5 versus 47.5. The average fraction of Ccr of left kidneys was 57.8 mL/min/1.73 m +/- 10.99 compared with right kidneys at 52.6 mL/min/1.73 m +/- 11.63. Seventy-three healthy volunteers donated their left kidneys, and 27, their right kidney. The average fraction of Ccr of the donated kidneys was 55.9 mL/min/1.73 m +/- 11.78 compared with that of the remnant kidneys (54.5 mL/min/1.73 m +/- 11.39). After kidney donation, the Scr of the donors increased from 0.85 mg/dL +/- 0.17 to 1.33 mg/dL +/- 0.27. The average postnephrectomy Ccr was 68.0 mL/min/1.73 m +/- 14.29. Even though the Ccr after kidney donation was higher than that of the remnant kidney estimated before the donation, one must pay attention to possible functional kidney asymmetry to select the nephrectomy site.

Long-term effects of donor and recipient gender on the outcome of living donor kidney transplantation have been examined but the impact on early graft function is less certain. In this study, we analyzed age, gender, body weight, height, body surface area (BSA), and lean body weight (LBW) of both donors and recipients. Preoperatively we collected 24-hour urine samples to measure creatinine excretion from donor and postoperatively we determined when the recipient serum creatinine (Scr) reached baseline levels. Variables included were ischemic times, kidney graft weight, duration of dialysis, cause of end-stage renal disease (ESRD), degree of HLA match, and mismatch, types of immunosuppression (cyclosporine or FK506, dual or triple), and episodes of acute rejection. The variables were analyzed by independent sample t tests and chi-square statistics using SPSS. Values of P < .05 were considered significant. Male patients of both donors and recipients were significantly taller and heavier (higher BSA and LBW) than female. Urinary 24-hour creatinine excretion was greater in male patients whether donors or recipients. There were no statistical differences in graft weight or creatinine clearance based on the gender of the donor or recipient. The creatinine of male donors or recipients was higher than that of females. The other variables were not significantly different. In conclusion, the effect of donor or recipient gender on early graft function depends on the metabolic demands, which are higher in male recipients.

In living donor kidney transplantation, initial function of the donor kidneys is split into the remnant kidney and the recipient's implanted kidney. We addressed the questions whether the donor's remnant kidney function increases or decreases after donation and whether the donor's donated kidney is greater or less than that of the recipient's implanted kidney after transplantation. We measured and calculated the functional ratio of each kidney using technetium-99m diethylenetriaminepentaacetic acid (99mTcDTPA) as well as serum creatinine (Scr; mg/dL) and creatinine clearance (Ccr; mL/min/1.73 m2) using 24-hour urines from 100 donors. The Ccr was also calculated using the Cockcroft-Gault formula (Ccr-CG; mL/min/1.73 m2). Within 7 days postnephrectomy, we measured Scr, Ccr, and Ccr-CG of the remnant kidney. For recipients, the Scr, Ccr, and Ccr-CG of the implanted kidney with 24-hour urine were obtained within 7 days posttransplantation. The average Scr, Ccr, and Ccr-CG of the donors were 0.85 +/- 0.17 mg/dL, 110.4 +/- 20.8 mL/min/1.73 m2, and 82.8 +/- 17.3 mL/min/1.73 m2, respectively. After donation, the Ccr and Ccr-CG of remnant kidney increased from 54.5 +/- 11.4 and 40.8 +/- 9.3 mL/min/1.73 m2 to 68.0 +/- 14.3 and 53.6 +/- 11.6 mL/min/1.73 m2, respectively. The recipient Ccr and Ccr-CG of donated kidney also increased from 55.9 +/- 11.8 and 42.0 +/- 9.9 mL/min/1.73 m2 to 78.4 +/- 18.0 and 53.4 +/- 16.4 mL/min/1.73 m2, respectively. Kidney transplantation from a living donor should be encouraged with total functional benefit for both donors and recipients.

To prevent hyperfiltration of the renal allograft, it is important to initially provide adequate functioning nephrons to meet the metabolic demands of a recipient. During the preoperative evaluation of a potential kidney donor, it is necessary to estimate the renal function of donated kidney compared with the metabolic needs of the recipient. The functional ratio of each kidney was measured using technetium-99m diethylenetriaminepentaacetic acid. The serum creatinine (Scr, mg/dL) and estimated creatinine clearance (Ccr, mL/min/1.73 m(2)) using the Cockcroft-Gault formula were measured and calculated in 82 donors. We excluded recipients who had an episode of rejection, and followed all recipients for more than 6 months posttransplantation. The average functional proportion of the donated kidney was 50.5% +/- 4.7% of the total Ccr 83.4 +/- 18.3 of donors. The Scr of recipients at 1, 3, 6, and 9 months posttransplantation were significantly (P < .05) correlated with the fractional Ccr of the donated kidney; however, Scr at 1 year was not correlated (P = .307). Furthermore, the Ccr of the recipient at 1, 3, and 6 months posttransplantation were significantly (P < .05) correlated with the fractional Ccr of the donated kidney; however, the Ccr at 9 months and 1 year were not correlated (P = .094 and .141, respectively). The Scr and Ccr of recipients within 6 months after transplantation may depend on the functional mass of the donated kidney, which should be estimated prior to kidney donation and compared with the metabolic demands of the potential recipient.