989 resultados para Transplant Patients


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Background: the incidence of gingival overgrowth (GO) associated with the use of cyclosporin A (CsA) is controversial. In the present study, we determined the incidence of GO in Brazilian renal transplant patients treated with CsA and the possible associations between periodontal and pharmacological variables.Methods: the test group consisted of 20 renal transplant patients, and the control group included 20 non-transplant patients. Periodontal conditions were evaluated based on the plaque index (PI), gingival index (GI), probing depth (PD), and the rate of gingival overgrowth, together with pharmacological variables (daily CsA dose and duration of treatment).Results: A significant difference in PI (P<0.0001) and PD (P<0.0001) was observed between groups, while GI (P=0.15) did not differ significantly. Using the Pearson correlation coefficient, a significant correlation was observed not only between GI (P<0.001; r=0.8141) and GO, but also for PD (P<0.001; r=0.866) and GO. The other correlations were not statistically significant.Conclusions: We conclude that GO induced by CsA may vary according to the individual sensitivity of each patient and may or may not be correlated with other local factors (periodontal variables).

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OBJECTIVE: Poor sleep quality is one of the factors that adversely affects patient quality of life after kidney transplantation, and sleep disorders represent a significant cardiovascular risk factor. The objective of this study was to investigate the prevalence of changes in sleep quality and their outcomes in kidney transplant recipients and analyze the variables affecting sleep quality in the first years after renal transplantation. METHODS: Kidney transplant recipients were evaluated at two time points after a successful transplantation: between three and six months (Phase 1) and between 12 and 15 months (Phase 2). The following tools were used for assessment: the Pittsburgh Sleep Quality Index; the quality of life questionnaire Short-Form-36; the Hospital Anxiety and Depression scale; the Karnofsky scale; and assessments of social and demographic data. The prevalence of poor sleep was 36.7% in Phase 1 and 38.3% in Phase 2 of the study. RESULTS: There were no significant differences between patients with and without changes in sleep quality between the two phases. We found no changes in sleep patterns throughout the study. Both the physical and mental health scores worsened from Phase 1 to Phase 2. CONCLUSION: Sleep quality in kidney transplant recipients did not change during the first year after a successful renal transplantation.

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We thank the Clinical Directors from the Hospital das Clínicas da Faculdade de Medicina da USP for their support: Prof. Jose Otávio Costa Auler Junior, Prof. Tarcísio Eloi Pessoa de Barros Filho and Prof. Eloísa Bonfá

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To assess safety and efficacy of tailored total lymphoid irradiation (tTLI) in cardiac transplant patients.

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Definition of acute renal allograft rejection (AR) markers remains clinically relevant. Features of T-cell-mediated AR are tubulointerstitial and vascular inflammation associated with excessive extracellular matrix (ECM) remodeling, regulated by metzincins, including matrix metalloproteases (MMP). Our study focused on expression of metzincins (METS), and metzincins and related genes (MARGS) in renal allograft biopsies using four independent microarray data sets. Our own cases included normal histology (N, n = 20), borderline changes (BL, n = 4), AR (n = 10) and AR + IF/TA (n = 7). MARGS enriched in all data sets were further examined on mRNA and/or protein level in additional patients. METS and MARGS differentiated AR from BL, AR + IF/TA and N in a principal component analysis. Their expression changes correlated to Banff t- and i-scores. Two AR classifiers, based on METS (including MMP7, TIMP1), or on MARGS were established in our own and validated in the three additional data sets. Thirteen MARGS were significantly enriched in AR patients of all data sets comprising MMP7, -9, TIMP1, -2, thrombospondin2 (THBS2) and fibrillin1. RT-PCR using microdissected glomeruli/tubuli confirmed MMP7, -9 and THBS2 microarray results; immunohistochemistry showed augmentation of MMP2, -9 and TIMP1 in AR. TIMP1 and THBS2 were enriched in AR patient serum. Therefore, differentially expressed METS and MARGS especially TIMP1, MMP7/-9 represent potential molecular AR markers.

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Since its introduction as an immunosuppressant in the late 1990s, sirolimus (SRL) has been used to prevent rejections after heart transplantation (HTx) in the United States. An analogue, everolimus (ERL) has been mainly used in Europe. We performed a retrospective longitudinal single-center study to evaluate efficacy and side effects of SRL and ERL.

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To compare the effects of deflazacort (DEFLA) vs. prednisone (PRED) on bone mineral density (BMD), body composition, and lipids, 24 patients with end-stage renal disease were randomized in a double blind design and followed 78 weeks after kidney transplantation. BMD and body composition were assessed using dual energy x-ray absorptiometry. Seventeen patients completed the study. Glucocorticosteroid doses, cyclosporine levels, rejection episodes, and drop-out rates were similar in both groups. Lumbar BMD decreased more in PRED than in DEFLA (P < 0.05), the difference being particularly marked after 24 weeks (9.1 +/- 1.8% vs. 3.0 +/- 2.4%, respectively). Hip BMD decreased from baseline in both groups (P < 0.01), without intergroup differences. Whole body BMD decreased from baseline in PRED (P < 0.001), but not in DEFLA. Lean body mass decreased by approximately 2.5 kg in both groups after 6-12 weeks (P < 0.001), then remained stable. Fat mass increased more (P < 0.01) in PRED than in DEFLA (7.1 +/- 1.8 vs. 3.5 +/- 1.4 kg). Larger increases in total cholesterol (P < 0.03), low density lipoprotein cholesterol (P < 0.01), lipoprotein B2 (P < 0.03), and triglycerides (P = 0.054) were observed in PRED than in DEFLA. In conclusion, using DEFLA instead of PRED in kidney transplant patients is associated with decreased loss of total skeleton and lumbar spine BMD, but does not alter bone loss at the upper femur. DEFLA also helps to prevent fat accumulation and worsening of the lipid profile.