896 resultados para Kidney transplantation
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BACKGROUND Cytomegalovirus (CMV) replication has been associated with more risk for solid organ graft rejection. We wondered whether this association still holds when patients at risk receive prophylactic treatment for CMV. METHODS We correlated CMV infection, biopsy-proven graft rejection, and graft loss in 1,414 patients receiving heart (n=97), kidney (n=917), liver (n=237), or lung (n=163) allografts reported to the Swiss Transplant Cohort Study. RESULTS Recipients of all organs were at an increased risk for biopsy-proven graft rejection within 4 weeks after detection of CMV replication (hazard ratio [HR] after heart transplantation, 2.60; 95% confidence interval [CI], 1.34-4.94, P<0.001; HR after kidney transplantation, 1.58; 95% CI, 1.16-2.16, P=0.02; HR after liver transplantation, 2.21; 95% CI, 1.53-3.17, P<0.001; HR after lung transplantation, 5.83; 95% CI, 3.12-10.9, P<0.001. Relative hazards were comparable in patients with asymptomatic or symptomatic CMV infection. The CMV donor or recipient serological constellation also predicted the incidence of graft rejection after liver and lung transplantation, with significantly higher rates of rejection in transplants in which donor or recipient were CMV seropositive (non-D-/R-), compared with D- transplant or R- transplant (HR, 3.05; P=0.002 for liver and HR, 2.42; P=0.01 for lung transplants). Finally, graft loss occurred more frequently in non-D- or non-R- compared with D- transplant or R- transplant in all organs analyzed. Valganciclovir prophylactic treatment seemed to delay, but not prevent, graft loss in non-D- or non-R- transplants. CONCLUSION Cytomegalovirus replication and donor or recipient seroconstellation remains associated with graft rejection and graft loss in the era of prophylactic CMV treatment.
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Aim To develop a population pharmacokinetic model for mycophenolic acid in adult kidney transplant recipients, quantifying average population pharmacokinetic parameter values, and between- and within-subject variability and to evaluate the influence of covariates on the pharmacokinetic variability. Methods Pharmacokinetic data for mycophenolic acid and covariate information were previously available from 22 patients who underwent kidney transplantation at the Princess Alexandra Hospital. All patients received mycophenolate mofetil 1 g orally twice daily. A total of 557 concentration-time points were available. Data were analysed using the first-order method in NONMEM (version 5 level 1.1) using the G77 FORTRAN compiler. Results The best base model was a two-compartment model with a lag time (apparent oral clearance was 271 h(-1), and apparent volume of the central compartment 981). There was visual evidence of complex absorption and time-dependent clearance processes, but they could not be successfully modelled in this study. Weight was investigated as a covariate, but no significant relationship was determined. Conclusions The complexity in determining the pharmacokinetics of mycophenolic acid is currently underestimated. More complex pharmacokinetic models, though not supported by the limited data collected for this study, may prove useful in the future. The large between-subject and between-occasion variability and the possibility of nonlinear processes associated with the pharmacokinetics of mycophenolic acid raise questions about the value of the use of therapeutic monitoring and limited sampling strategies.
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The aim of this study was to determine the most informative sampling time(s) providing a precise prediction of tacrolimus area under the concentration-time curve (AUC). Fifty-four concentration-time profiles of tacrolimus from 31 adult liver transplant recipients were analyzed. Each profile contained 5 tacrolimus whole-blood concentrations (predose and 1, 2, 4, and 6 or 8 hours postdose), measured using liquid chromatography-tandem mass spectrometry. The concentration at 6 hours was interpolated for each profile, and 54 values of AUC(0-6) were calculated using the trapezoidal rule. The best sampling times were then determined using limited sampling strategies and sensitivity analysis. Linear mixed-effects modeling was performed to estimate regression coefficients of equations incorporating each concentration-time point (C0, C1, C2, C4, interpolated C5, and interpolated C6) as a predictor of AUC(0-6). Predictive performance was evaluated by assessment of the mean error (ME) and root mean square error (RMSE). Limited sampling strategy (LSS) equations with C2, C4, and C5 provided similar results for prediction of AUC(0-6) (R-2 = 0.869, 0.844, and 0.832, respectively). These 3 time points were superior to C0 in the prediction of AUC. The ME was similar for all time points; the RMSE was smallest for C2, C4, and C5. The highest sensitivity index was determined to be 4.9 hours postdose at steady state, suggesting that this time point provides the most information about the AUC(0-12). The results from limited sampling strategies and sensitivity analysis supported the use of a single blood sample at 5 hours postdose as a predictor of both AUC(0-6) and AUC(0-12). A jackknife procedure was used to evaluate the predictive performance of the model, and this demonstrated that collecting a sample at 5 hours after dosing could be considered as the optimal sampling time for predicting AUC(0-6).
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Background. A systematic review was undertaken to assess the safety and efficacy of laparoscopic live-donor nephrectomy (LLDN) compared with open live-donor nephrectomy (OLDN). Methods. Literature databases were searched from inception to March 2003 inclusive. Comparative studies of LLDN versus OLDN (randomized and nonrandomized) were included. Results. There were 44 included studies, and the quality of the available evidence was average. There was only one randomized controlled trial and six nonrandomized comparative studies with concurrent controls identified. In terms of safety, for donors, there did not seem to be any distinct difference between the laparoscopic and open approaches. No donor mortality was reported for either procedure, and the complication rates were similar although the types of complications experienced differed between the two procedures. The conversion rate for LLDN to an open procedure ranged from 0% to 13%. In terms of efficacy, LLDN seemed to be a slower operation with longer warm ischemia. times than OLDN, but this did not seem to have resulted in increased rates of delayed graft function for recipients. Donor postoperative recovery and convalescence seemed to be superior for LLDN, making it a potentially more attractive operation for living donors. Although in the short-term, graft function and survival did not seem to differ between the two techniques, long-term complication rates and allograft function could not be determined and further long-term follow-up is required. Conclusions. LLDN seems to be at least as safe and efficacious as OLDN in the short-term. However, it remains a technique in evolution. Further high-quality studies are required to resolve some of the outstanding issues surrounding its use, in particular, long-term follow-up of donor complications and recipient graft function and survival.
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Relaxation of the upper age limits for solid organ transplantation coupled with improvements in post-transplant survival have resulted in greater numbers of elderly patients receiving immunosuppressant drugs such as tacrolimus. Tacrolimus is a potent agent with a narrow therapeutic window and large inter- and intraindividual pharmacokinetic variability. Numerous physiological changes occur with aging that could potentially affect the pharmacokinetics of tacrolimus and, hence, patient dosage requirements. Tacrolimus is primarily metabolised by cytochrome P450 (CYP) 3A enzymes in the gut wall and liver. It is also a substrate for P-glycoprotein, which counter-transports diffused tacrolimus out of intestinal cells and back into the gut lumen. Age-associated alterations in CYP3A and P-glycoprotein expression and/or activity, along with liver mass and body composition changes, would be expected to affect the pharmacokinetics of tacrolimus in the elderly. However, interindividual variation in these processes may mask any changes caused by aging. More investigation is needed into the impact aging has on CYP and P-glycoprotein activity and expression. No single-dose, intense blood-sampling study has specifically compared the pharmacokinetics of tacrolimus across different patient age groups. However, five population pharmacokinetic studies, one in kidney, one in bone marrow and three in liver transplant recipients, have investigated age as a co-variate. None found a significant influence for age on tacrolimus bioavailability, volume of distribution or clearance. The number of elderly patients included in each study, however, was not documented and may have been only small. It is likely that inter- and intraindividual pharmacokinetic variability associated with tacrolimus increase in elderly populations. In addition to pharmacokinetic differences, donor organ viability, multiple co-morbidity, polypharmacy and immunological changes need to be considered when using tacrolimus in the elderly. Aging is associated with decreased immunoresponsiveness, a slower body repair process and increased drug adverse effects. Elderly liver and kidney transplant recipients are more likely to develop new-onset diabetes mellitus than younger patients. Elderly transplant recipients exhibit higher mortality from infectious and cardiovascular causes than younger patients but may be less likely to develop acute rejection. Elderly kidney recipients have a higher potential for chronic allograft nephropathy, and a single rejection episode can be more devastating. There is a paucity of information on optimal tacrolimus dosage and target trough concentration in the elderly. The therapeutic window for tacrolimus concentrations may be narrower. Further integrated pharmacokinetic-pharmaco-dynamic studies of tacrolimus are required. It would appear reasonable, based on current knowledge, to commence tacrolimus at similar doses as those used in younger patients. Maintenance dose requirements over the longer term may be lower in the elderly, but the increased variability in kinetics and the variety of factors that impact on dosage suggest that patient care needs to be based around more frequent monitoring in this age group.
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Alternative measures to trough concentrations [non-trough concentrations and limited area under the concentration-time curve (AUC)] have been shown to better predict tacrolimus AUC. The aim of this study was to determine if these are also better predictors of adverse outcomes in long term liver transplant recipients. The associations between tacrolimus trough concentrations (C-0), non-trough concentrations (C-1, C-2, C-4, C-6/8), and AUC(0-12) and the occurrence of hypertension, hyperkalaemia, hyperglycaemia and nephrotoxicity were assessed in 34 clinically stable liver transplant patients. The most common adverse outcome was hypertension, prevalence of 36%. Hyperkalaemia and hyperglycaemia had a prevalence of 21% and 13%, respectively. A sequential population pharmacokinetic/pharmacodynamic approach was implemented. No significant association between predicted C-0, C-1, C-2, C-4, C-6/8 or AUC(0-12) and adverse effects could be found. Tacrolimus concentrations and AUC measures were in the same range in patients with and without adverse effects. Measures reported to provide benefit, preventing graft rejection and minimizing acute adverse effects in the early post-transplant period, were not able to predict adverse effects in stable adult liver recipients whose trough concentrations were maintained in the notional target range.
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Achieving adequate therapeutic levels of immunosuppressive medications is important in rejection prevention. This study examined exposure to mycophenolic acid (MPA) in kidney transplant patients within the first 5 days posttransplantation. Methods. This single-center, nonrandomized study of first solitary kidney allograft recipients receiving cyclosporine (n = 116) or tacrolimus (n = 50) included patients who received either 1 g or 1.5 g of mycophenolate mofetil twice daily starting postoperatively. Exposure to MPA was measured at days 3 and 5 posttransplant using published limited sampling time equations. Results. There were no significant differences in exposure in the cyclosporine-treated patients receiving 3-g (n = 22) compared to 2-g (n = 94) daily doses (AUC([0-12]) 33.8 +/- 10.0 mg*h/L versus 30.1 +/- 9.7 mg*h/L, P =.20, respectively). About half the patients in both groups had AUC([0-12]) < 30 mg*h/L on days 3 and 5 posttransplant. On the other hand, there was significantly greater exposure on day 3 in the tacrolimus-treated patients receiving 3 g (n = 21) compared to 2 g (n = 29) daily (AUC([0-12]) 43.1 +/- 9.0 mg*h/L versus 36.8 +/- 11.1 mg*h/L, P =.016, respectively). On day 3 one (4.8%) patient receiving 3 g had an AUC([0-12]) of < 30 mg*h/L; whereas, eight (27.5%) receiving 2 g were below this level (P =.068). The AUC([0-12]) levels were not different on day 5. Conclusions. Loading with higher doses of mycophenolate mofetil results in greater exposure and a trend toward more patients in the therapeutic window within the first week for tacrolimus- but not for cyclosporine-treated patients.
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Introduction: Serum concentrations of polyclonal free light chains (FLC) represent the activity of the adaptive immune system. This study assessed the relationship between polyclonal FLC and the established marker of innate immunity, C-reactive protein (CRP), in chronic and acute disease. Methods: We utilized four cross-sectional chronic disease patient cohorts: chronic kidney disease (CKD), diabetes, vasculitis and kidney transplantation; and a longitudinal intensive care case series to assess the kinetics of production in acute disease. Results: There was a weak association between polyclonal FLC and high-sensitivity CRP (hs-CRP) in the study cohorts. A longitudinal assessment in acute disease showed a gradual increase in FLC concentrations over time, often when CRP levels were falling, demonstrating clear differences in the response kinetics of CRP and FLC in this setting. Conclusion: Polyclonal FLC and hs-CRP provide independent information as to inflammatory status. Prospective studies are now required to assess the utility of hs-CRP and polyclonal FLC in combination for risk stratification in disease populations. © 2013 John Wiley & Sons Ltd.
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Kidney transplantation is the best treatment for patients who have lost kidney function. Renal transplant patients require accurate immunosuppressive drugs to prevent rejection. In this process T helper cells of the immune system perform key role in the immune response to the graft, and recently the Th17 cells has been investigated by production of IL-17 potent proinflammatory cytokine whose role in the rejection has also been described. Increased of Th17 cell expression has an important association with the development of rejection in renal microenvironment, however the likely mechanism is not well understood. This study aimed to evaluate the Th17 response from the influence of the chemotactic axis CCR6/CCL20 and genetic variants in IL-17 and IL-17RA. We conducted a case-control study involving 148 patients transplanted at the University Hospital Onofre Lopes/UFRN in which assessed by immunohistochemistry protein expression of IL-17 and chemokines CCR6/CCL20 and by PCR-RFLP genetic variants in IL17A and IL17RA. Our results showed no influence of genetic polymorphisms on the outcome of the graft or the protein expression of IL-17. In renal graft microenvironment found several sources producing IL-17: tubular epithelial cells, glomerular cells, neutrophils and cell interstitial infiltration, in turn the expression of chemotactic axis CCR6/CCL20 was restricted to the tubular epithelium cells. There was a slight positive linear correlation between the presence of IL-17 and expression of chemotactic axis CCR6/CCL20 in the microenvironment of renal graft. Therefore, we believe that, combined with our results, further studies with increased "n" sample and greater control over the variables involved in obtaining the renal specimen, can determine more clearly the influence of chemotactic axis CCR6 / CCL20 and polymorphisms in cytokines related to Th17 profile on the control of this cell subtype response in rejection processes to renal allograft.
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Metabolic syndrome (MS) is defined as a set of cardiovascular risk factors including obesity, systemic high blood pressure (SHBP), changes in glucose metabolism and dyslipidemia. The prevalence of MS in renal transplant recipients (RTR) ranges from 15% to 65%, increasing the risk of cardiovascular disease (CVD) and reducing renal allograft survival in the long term. The objectives of this study were to determine the prevalence and frequency of MS in renal transplant patients according to gender and time of transplantation and to evaluate renal function in patients with and without MS. Patients and Methods: Crosssectional study conducted from August 2012 to September 2013 involving 153 renal transplant recipients. MS was defined according to the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III). The sample was divided into two groups: patients with metabolic syndrome (WMS patients) and patients without metabolic syndrome (WoMS patients) and according to gender. The WMS patients were stratified into quartiles according to the renal transplantation period (RTP), and variables related to MS were analyzed for both sexes. Results: MS was diagnosed in 58.1% of the studied population, specifically in MS was found 58.4% of men and 41.6% of women (P ˂ 0.05). The male and female with MS were 48.8 ± 11.6 years old vs. 47.1 ± 12.7 years old and the time of post transplantation was 76.1 ± 76.5 months vs. 84.7 ± 65.4 months, respectively (P >0,05). When we compared the sexes in the WMS group, systolic blood pressure (SBP) was higher in men (137.0 ± 18.1 vs. 128.9 ± 13.6 mmHg, P= 0.029), while the other components of MS did not exhibit significant differences. With respect to renal function, when we compared the sexes in the WMS group, the serum creatinine (sCr) was higher in men (1.73 ± 0.69 vs. 1.31 ± 0.47 mg/dL, P= 0.0012), while the urinary protein/creatinine ratio was higher in women (0.48 ± 0.69 vs. 0.37 ± 0.48 mg/dL, P=0.0150). We found no significant difference in the estimated glomerular filtration rate (eGFR) between WMS and WoMS patients for women and men (50.6 ± 19.1 vs. 50.1 ± 18.3 mL/min/1.73 m², P=0.909). We found a significant positive association between eGFR and HDL-c levels (r=0.3371; P=0.0145) for WMS men. The MS components showed no significant differences in RTP for different interquartile ranges, except for diastolic blood pressure (DBP) in women, where there was a significant variation among the quartiles evaluated (P=0.0009). Conclusion: the prevalence of MS was similar in the different quartiles in both sexes, in relation to time post TX. There was no significant difference in eGFR in patients WMS and WoMS, in both sexes. Concluding that the MS did not vary in relation to time post transplant.
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SOUZA,Roberto Mascarenhas et al.Presence of antibodies against Leishmania chagasi in haemodialysed patients.Transactions of the Royal Society of Tropical Medicine and Hygiene,v. 103, p.749-751, 2009.