6 Clinical Trials for Various Conditions
The purpose of this study is to determine whether treatment with rituximab (anti-CD20, Rituxan®, MabThera®) in individuals who develop new anti-HLA antibodies after renal (kidney) transplant will promote longer-term survival of the transplanted kidney.The pilot study compares the use of rituximab (Rituxan®) + site-specific standard immunosuppression to placebo + site-specific standard immunosuppression in the treatment of circulating anti-HLA antibodies in subjects who develop de novo anti-HLA antibodies between 3-36 months after transplant.
The objective of this clinical trial was: - to assess whether Reparixin leads to improved transplant outcome as measured by glycaemic control following intra-hepatic infusion of pancreatic islets in patients with Type 1 diabetes (T1D). The safety of Reparixin in the specific clinical setting was also evaluated. Background: The chemokine CXCL8 plays a key role in the recruitment and activation of polymorphonuclear neutrophils in post-ischemia reperfusion injury after organ transplantation. Reparixin is the first low molecular weight blocker of CXCL8 biological activity in clinical development. Thus, the use of reparixin may emerge as a potential key component in the sequentially integrated approach to immunomodulation and control of non specific inflammatory events surrounding the early phases of pancreatic islet transplantation in T1D patients.
The objective of this study is to evaluate the safety and efficacy of conversion from tacrolimus to sirolimus early after kidney transplantation in patients with delayed graft function (DGF)and slow graft function (SGF) in improving graft function and delaying chronic allograft nephropathy. The investigators hypothesize that conversion from tacrolimus to sirolimus in renal transplant recipients with DGF/SGF in early months after surgery will improve graft function and decrease the progression of graft fibrosis.
The chemokine CXCL8 plays a key role in the recruitment and activation of polymorphonuclear neutrophils in post-ischemia reperfusion injury after solid organ transplantation. Reparixin is a novel, specific inhibitor of CXCL8. This study is configured to explore the safety and efficacy of reparixin in preventing the delayed graft function (DGF) after kidney transplantation.
The incidence of end stage renal disease (ESRD) is rapidly increasing, now affecting an estimated 7.4 million people worldwide. Numerous parameters such as demographic, clinical and functional factors drive the deterioration of the kidney, ultimately leading to ESRD. Although some ESRD prediction models have been derived in the past years, none of these models are dynamic: they do not integrate the repeated measurements recorded throughout individuals' follow-up. As highlighted in several studies, kidney function repeated measurements (i.e., trajectories) are highly associated with graft survival after kidney transplantation. The investigators made the hypothesis that these trajectories may bring relevant information in the context of graft survival risk prediction model. Hence, combining these trajectories with standard graft survival risk factors may enhance prediction performance. This could permit to derive a robust tool that could be updated over time by continuously capturing patient' personal evolution.
The gold standard for characterizing chronic kidney disease (CKD) is the glomerular filtration rate (GFR), which is commonly estimated in both native and transplanted kidneys for patient monitoring and therapeutic management and ultimately guides decision-making about whether a patient needs renal replacement therapy. In particular, the National Kidney Foundation has defined CKD stages according to estimated GFR (eGFR) values and in several studies, the eGFR slope or change has been found to be strongly associated with end stage renal disease (ESRD). However, little is known about the heterogeneity of eGFR evolution in time - i.e. eGFR trajectories - and the related progression to ESRD and death. To date, no studies have investigated eGFR trajectories in diversified cohorts and populations worldwide, although this approach could provide a better understanding of CKD evolution and hence improve risk stratification. In addition, determinants of eGFR trajectories remain poorly described. An unsupervised approach could allow examining eGFR trajectories over time and could lead to the identification of patient groups according to the probability of the progression of their kidney disease. Therefore, this study aims: 1. To identify the long-term eGFR trajectories after kidney transplantation using latent class mixed models; 2. To identify the clinical, immunological, histological and functional determinants of the eGFR trajectories using multinomial regressions; 3. To investigate the associations of the eGFR trajectories with the progression to ESRD and death. Based on the results, the investigators will provide an easily accessible tool to calculate personalized probabilities of belonging to eGFR trajectories after kidney transplantation, by using datasets from prospective cohorts and post hoc analysis of randomized control trial datasets.