Clinical Research Directory

CAR-T Cell Therapy for Desensitization in Kidney Transplantation

This research study is for people who have been waiting for a kidney transplant for at least one year, and who have a cPRA of 99.5% or higher. Having a cPRA of 99.5% or higher means that your immune system would reject 99.5% of kidneys available for transplant. The study will test whether new products called Chimeric Antigen Receptor T Cells (CAR T Cells), when given with chemotherapy, is safe and will reduce cPRA. The main study will last up to 2 years: Participants will have up to 30 clinic or hospital visits over a one-year period. If a transplant takes place, there will be 9 more visits after transplant. Long term follow up is required by the Food and Drug Administration (FDA) for 15 years after receiving CAR T cell. The primary objective is to evaluate the safety and feasibility of administering CART BCMA + huCART-19 following lymphodepletion, including determination of optimal tolerated regimen (OTR) and/or recommended phase 2 regimen, according to the incidence of dose limiting toxicity (DLT) in highly sensitized patients awaiting kidney transplant.

Evaluating the Feasibility of a Piezoelectric Smart Sensor as an Aid to Help Clinicians Screen for the Development of Pneumonia in an At-risk Population

This proposed research aims to evaluate the feasibility of the piezoelectric sensor as an aid to help clinicians screen for the development of pneumonia in an at-risk population.

First-in-Human (FIH) Study of the Xeltis Hemodialysis Access Graft

A feasibility study is to assess the preliminary safety and performance of the Xeltis hemodialysis access (aXess) graft.

Dialysis Efficiency and Transporter Evaluation Computational Tool in Peritoneal Dialysis

The goal of this prospective diagnostic test (correlation) study is to develop and investigate the performance of artificial intelligence in predicting peritoneum transporter status and dialysis efficiency in adult patients undergoing peritoneal dialysis (PD). The main questions it aims to answer are: Can artificial intelligence predict peritoneal transporter status based on simple clinical and biochemical measurements? Can artificial intelligence predict dialysis adequacy (Kt/V) using these features? Researchers will compare the performance of the AI model with the gold standard Peritoneal Equilibration Test (PET) and Kt/V to evaluate its accuracy and reliability. Participants will: Provide peritoneal dialysate and spot urine samples for biochemical analysis. Undergo routine dialysis adequacy and peritoneal equilibration testing (PET). Have clinical and laboratory data collected for AI model training and validation. The study will recruit approximately 350 peritoneal dialysis patients, with 280 participants in the training/validation arm and 70 participants in the test arm. The study duration is 12 months following enrollment.

HED-Start: Evaluating a Positive Skills Intervention for Patients New on Haemodialysis

Hemodialysis patients often experience barriers and misperceptions that hinder adjustment to life on dialysis. This study seeks to explore a group-based intervention (titled HED-Start) developed to improve self-care and emotional wellbeing among incident hemodialysis patients.

Improved Selection of Elderly (> 65 Years) for Kidney Transplantation

Kidney transplantation has been shown to provide improved survival even in patients older than 70 years of age. The purpose of the study is to determine whether kidney transplantation provides any improvement of health related quality of life (HRQOL) in patients over the age of 65 years. HRQOL wil be monitored using the Kidney Disease and Quality of Life (KDQOL-SF)form. Patients will be recruited at the time of acceptance to the Norwegian transplant wait list and followed every 6 months until transplantation. Thereafter a new form will be completed after 10 weeks post transplant, 6 months, 1 year, 3 years and 5 years. In addition the study will explore the transplant candidates expectations in a qualitative study design and explore the relationship between pre-transplant comorbidity, HRQOL and survival.