Tacrolimus interaction with oral oestrogen in kidney transplant recipients: A case-control study.

WHAT IS KNOWN AND OBJECTIVE: Oestrogens could inhibit the metabolism of drugs, such as calcineurin inhibitors, that are substrates for cytochrome P-450 microsomal enzymes. This study assessed the potential tacrolimus interaction with oral conjugated oestrogen in kidney transplant recipients who received conjugated oestrogen as prophylaxis against bleeding, before kidney biopsy. METHODS: In this case-control study, 13 kidney transplant recipients who received oral conjugated oestrogen as prophylaxis against uraemic bleeding before allograft biopsy were considered as cases. Thirteen matched kidney transplant recipients with similar immunosuppressive regimen served as controls. In this study, comparisons were made between the groups regarding daily dose, blood trough concentrations and calculated concentration corrected for dose of tacrolimus at three time points of the study. RESULTS AND DISCUSSION: All patients in the case group received conjugated oestrogen at a dose of 3.75 mg/day for 4.78 ± 0.83 days. Without any change in tacrolimus dose, the blood concentration of tacrolimus increased during concomitant administration of conjugated oestrogen (from 8.10 ± 2.85 to 12.35 ± 4.62 ng/mL; P = .11) and decreased after cessation of conjugated oestrogen (6.07 ± 2.18 ng/mL; P = .015). The calculated concentration corrected for dose of tacrolimus increased from 127.04 ± 79.23 to 211.40 ± 146.38 ngmLmgkg/d after conjugated oestrogen administration (P = .036). Thereafter, it decreased to 108.55 ± 78.61 ngmLmgkg/d after cessation of oestrogen (P = .003). Only one patient experienced nausea while taking oestrogen without any change in her liver enzymes. WHAT IS NEW AND CONCLUSION: Concomitant administration of oral oestrogen increased tacrolimus blood concentration. Hence, it is necessary to monitor tacrolimus blood levels during concomitant oestrogen therapy and for several days after oestrogen withdrawal.

Carotid intima-media thickness as a marker of atherosclerosis in hemodialysis patients.

Atherosclerotic changes in carotid arteries of hemodialysis (HD) patients reflect global atherosclerotic changes in vasculature. Carotid intima-media thickness (CIMT) can be used for atherosclerosis prediction and assessment of cardiovascular risks in HD patients, and thus screening high-risk patients. In this cross-sectional study, CIMT was measured using ultrasonography (B-mode with 5-10-MHz multifrequency linear probe) in HD patients in our hospitals. Additionally, we assessed the relationship between their CIMT and some cardiovascular risk factors. A total of 62 HD patients (64.5% male) were included. Age, body mass index, low-density lipoprotein, fasting blood sugar, history of diabetes mellitus and cardiovascular disease, serum albumin, and duration and adequacy of HD in study patients had significant association with their CIMT. There were no significant relationships between CIMT and patient's gender, smoking, serum calcium, phosphate, calcium x phosphate product, hemoglobin, and uric acid level. More diagnostic modalities must be performed for detecting the impact of atherosclerosis on HD patients with high CIMT.

The role of neutrophil-gelatinase-associated lipocalin in early diagnosis of contrast nephropathy.

Neutrophil-gelatinase-associated lipocalin (NGAL) is a biomarker of acute kidney injury. The aim of this study was to define a cut-off for NGAL in the early diagnosis of contrast-induced nephropathy (CIN) in patients with normal kidney function. We enrolled 121 patients with normal serum creatinine who underwent coronary angiography. NGAL was measured in urine before the procedure and 12 and 24 h afterward. CIN was defined as a 0.3 mg/dl increase in serum creatinine within 48 h after the procedure. Seven of 121 patients had CIN (5.8%). The NGAL levels in the 12- and 24-h urine samples of these patients were 30 (5-45) and 20 (15-40) ng/ml, respectively, whereas those in patients without CIN were 15 (5-45) and 15 (10-51) ng/ml, respectively (P = 0.8). In patients with CIN, the sensitivity and specificity of NGAL with a cut-off of 22.5 ng/ml were 71.4% and 57.9% in 12-h urine samples, with the negative predictive values (NPV) and positive predictive values (PPV) of 97.1% and 9.4%, respectively. In conclusion, we suggest that urine NGAL with cut-off point of 22.5 ng/ml has acceptable sensitivity and specificity for early diagnosis of CIN in patients with normal serum creatinine, but regarding NPV and PPV the best performance of this value is to rule out the CIN in patients at risk who received contrast media.

Posttransplant diabetes mellitus: incidence and risk factors.

OBJECTIVE: Posttransplant diabetes mellitus (PTDM) is a common and serious complication of renal transplantation. Estimates of the incidence of PTDM after renal transplantation vary between 2% and 54%. The aim of the present study was to evaluate the incidence and risk factors for PTDM among our renal transplant patients. PATIENTS AND METHODS: In this study we evaluated 121 nondiabetic patients with end-stage renal disease (ESRD) who underwent kidney transplantation for the first time at our centers since 2005. All patients received the same protocol of immunosuppressive therapy. PTDM was defined according to the clinical practice recommendations of the American Diabetes Association. RESULTS: At 12 months following renal transplantation, 9.9% of patients developed PTDM. Patients with PTDM were significantly older (P = .013) and had higher body mass index (P = .001). There were significant differences (P

Infertility among female renal transplant recipients.

We studied 122 women with renal allograft transplantation to evaluate their reproductive systems. The patients were recruited from the three main kidney transplant surgery centers in Tehran, from September to October 2005. Fifteen (12%) patients were either in the menopausal stage or had hysterectomies, and the other 33(27%) were unmarried. Of the 76(62%) married women at the reproductive age, 10 (13.1%) had infertility that was defined as the failure of a married woman to conceive after 12 months of frequent intercourse without contraception. Three patients had male factor infertility, three others had ovulatory problems, and four cases were undefined. Only six cases were actively treated by ovulation induction +/- an intrauterine inducer (IUI); two patients became pregnant, while the other four refused infertility treatment. The reasons of unwillingness for infertility treatment included old age (40 years) in one patient, positive HBsAg in one, renal retransplantation in one, and previous clomiphene therapy failure in another. We conclude that the prevalence of infertility among female renal transplant recipients is the same as the general population, and the causes are mostly treatable. However, many are less motivated to be treated for this problem.

Renal allograft accumulation of technetium-99m sulfur colloid as a predictor of graft rejection.

Differentiation between rejection (the most common cause) and many other possibilities for detrimental effects on graft function represents a difficult issue to diagnose the cause of renal allograft dysfunction. This study was designed to determine whether technetium-99m sulfur colloid (TSC) accumulation predicted graft rejection. We prospectively studied 54 episodes of allograft dysfunction in 53 kidney transplant recipients who underwent TSC scintiscanning and graft biopsy. Visual analysis of TSC uptake compared uptake, in the allograft with that in the marrow of the fifth lumbar vertebra (L5). A 3+ result meant that allograft uptake was greater than L5 marrow uptake; 2+, the same; 1+, less and finally 0, no allograft uptake. Transplant accumulation of 2+ or more was considered consistent with rejection (P = .01). Allograft biopsies interpreted based on the Banff Working Classification showed rejection in 45 of 54 renal biopsies with 42 the biopsy-proven rejection episodes showing at least 2+ graft uptake. Furthermore, this nuclear medicine technique had a sensitivity of 93.3%, a specificity of 44.4%, a positive predictive value of 89.3%, a negative value of 57.1% and an efficiency of 83.3% for the diagnosis of renal allograft rejection.