Background: End-stage renal disease is a state of enhanced oxidative stress (OS) and hemodialysis (HD) and renal anemia further augment this disbalance. Anemia correction with erythropoietin (EPO) may improve oxidative status. However, there is no evidence of time dependent effects of EPO therapy on redox status of HD patients.Objective: The aim of this study was to evaluate whether the duration of EPO treatment may affect OS parameters in uremic patients.Patients and methods: 104 HD patients and 29 healthy volunteers were included. Patients were divided into 3 groups according to the duration of EPO treatment. Forth group consisted of HD patients without EPO treatment. Plasma and erythrocyte malondialdehyde (MDA, MDArbc), reactive carbonyl groups (RCG), plasma sulfhydryl (-SH) groups and total antioxidative capacity (TAC) levels were evaluated.Results: HD patients both with and without EPO treatment, showed a significant increase in all oxidative parameters without significance between EPO treated and -untreated group. The decrease in MDA and MDArbc levels coincided with the duration of EPO treatment. A negative correlation was observed between the duration of EPO treatment and serum MDA (r=˗0.309, p=0.003). Increasing periods of EPO treatment were associated with decrease in RCG, without significance between EPO groups. Increase in TAC accompanied increasing durations of EPO treatment, with EPO treatment for more than 24 months causing the most striking changes (p<0.05). There were no significant differences in ˗SH levels between EPO subgroups.Conclusion: Our results suggest that long term administration of EPO attenuated the lipid peroxidation process and restored the levels of antioxidants.
Objectives: To assess the degree of immunosuppressive medication adherence in kidney transplant patients (KTPs) and to determine if there is a difference in the rate of adherence to tacrolimus (Tac), cyclosporine (CsA) and sirolimus (Sir). Subjects and Methods: From a total of 63 KTPs treated at the Clinic of Nephrology, Clinical Centre Niš, Serbia, 60 participated in the study by responding to questionnaires. They were divided into the adherence group (n = 43) and the nonadherence group (n = 17) according to their degree of adherence which was measured using a validated survey form, the simplified medication adherence questionnaire. The KTP adherence to the different immunosuppressive regimens (Tac, CsA and Sir) was compared. Statistical analysis was performed using the Student t test. Results: Adherence was observed in 43 (71.7%) patients, and only 17 (28.3%) did not follow the prescribed therapy. The estimated glomerular filtration rate was significantly lower in the nonadherence group (38.52 ± 18.22 ml/min) than in the adherence group (52.43 ± 16.91 ml/min, p < 0.05). With regard to the Tac level, a significant difference was also found between the adherers and the nonadherers (6.30 ± 2.06 vs. 5.0 ± 1.52 ng/ml, p < 0.05). Conclusion: The KTPs in this study demonstrated a high level of adherence.Nonadherence was associated with worse graft function and a lower Tac level. Knowledge about the degree of adherence could help the early identification of nonadherent patients and the development of strategies to improve this.
Objective: The purpose of this study was to derive population pharmacokinetics (PPK) model of tacrolimus clearance, identify and describe factors that influence it in Serbian kidney transplant patients. Methods: Population pharmacokinetics analysis was performed using nonlinear mixedeffects model (NONMEM) program from Serbian adult kidney transplant patients receiving triple immunosuppressive therapy, including oral tacrolimus. Details of drug dosage history, sampling time and tacrolimus concentration in 63 patients (44 males and 19 females), 27 -57 years old (age mean 40.88 ± 7.01 years) were collected retrospectively. Effects of several covariates on tacrolimus clearance were tested: total body weight, gender, age, posttransplantation days, hemoglobin count, CRP, alanine aminotransferase/aspartate aminotransferase, total daily dose of tacrolimus, co-medication with cotrimoxasole, omeprazole, mycophenolate mofetil and prednisone (> 25 mg). Results: Typical mean value of tacrolimus clearance, estimated by the base model (without covariates), in our population was 1.03 l h -1 . The final model showed that tacrolimus clearance increased with total daily dose and concomitant administration of high-dose prednisone (> 25 mg). The magnitude of prednisone effect was + 1.16 l h -1 . Final model was validated in a group of 17 patients, showing good predictive performance. Conclusions: The derived model describes well tacrolimus clearance in terms of characteristics of Serbian kidney transplant patients, offering basis for rational individualization of tacrolimus dosing regimens.
Tacrolimus (Tac) is an immunosuppressive drug with a narrow therapeutic width and highly variable pharmacokinetics. Therefore, monitoring of Tac blood concentrations is of utmost importance in the management of renal transplant recipients. The occurrence and intensity of adverse effects depend on blood concentration and total exposure of the organism to this drug. This implies finding a new gender-dependent predictable method for Tac exposure monitoring based on determination of the area under the time concentration curve (AUC). The primary aim of this study was to investigate gender differences in systemic body exposure to Tac in renal transplant patients after the first oral dose and in a steady state by determining 12-h AUC (AUC(0-12)). The secondary objective was to find the best sampling time in which measured Tac concentration best predicts AUC value with respect to gender. Tac pharmacokinetic study was conducted in 20 kidney transplant recipients (10 men/10 women) on quaternary immunosuppressive therapy. The first oral Tac dose (0.05 mg/kg) was given on the fifth day post-transplant. After reaching steady state, regimen stabilized and dosage was adjusted in accordance with the level of Tac. Blood concentrations were measured by microparticle enzyme immunoassay method. AUC(0-12) for each patient was calculated after the first oral Tac dose and in the steady state from a plot of Tac concentration versus time from 0 to 12 h using the trapezoid rule. Associations between each sampling time point of concentrations within 12 h after the administration and AUC(0-12) were evaluated by Pearson correlation coefficients. Abbreviated sampling equations were derived by multiple stepwise regression analyses. Statistically significant difference was found in AUC(0-12) between male and female patients after the first oral dose (p < 0.01), but this difference was lost in a steady state. In female recipients C(2) seemed to be good indicator of total body exposure to Tac after the first oral dose and this was also confirmed in a steady state. The three-point sampling method was required for calculating AUC after the first oral dose in male patients, whereas in the steady state, concentration of C(8) seemed to be a good indicator of abbreviated AUC for a Tac monitoring strategy in male patients. Non-compartment Tac pharmacokinetic and regression analysis showed gender difference in total Tac exposure and determined the best predictable Tac concentrations after the first oral dose. Our study confirmed gender-dependent pharmacokinetics in a steady state in terms of best sampling time in which measured Tac concentration best predicts AUC value.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.