Download full-text PDF

Source
http://dx.doi.org/10.1093/ndt/16.10.2114DOI Listing

Publication Analysis

Top Keywords

treatment post-transplant
4
post-transplant lymphoproliferative
4
lymphoproliferative disorder
4
disorder rituximab
4
rituximab radiation
4
radiation patient
4
patient second
4
second renal
4
renal allograft
4
treatment
1

Similar Publications

Transplant oncology and anti-cancer immunosuppressants.

Front Immunol

January 2025

Tianjin Organ Transplantation Research Center, Tianjin First Central Hospital, Nankai University School of Medicine, Tianjin, China.

Organ transplantation is a life-saving intervention that enhances the quality of life for patients with end-stage organ failure. However, long-term immunosuppressive therapy is required to prevent allogeneic graft rejection, which inadvertently elevates the risk of post-transplant malignancies, especially for liver transplant recipients with a prior history of liver cancer. In response, the emerging field of transplant oncology integrates principles from oncology and immunology to improve outcomes for patients at high risk of tumor occurrence or recurrence following transplantation.

View Article and Find Full Text PDF

Background: Although post-transplant diabetes mellitus (PTDM) is a common complication after kidney transplantation, there are few data on prevention, optimal screening, and treatment strategies.

Methods: The European Renal Association's DESCARTES working group distributed a web-based survey to European transplant centres to gather information on risk assessment, screening procedures, and management practices for preventing and treating PTDM in kidney transplant recipients.

Results: Answers were obtained from 121/241 transplant centres (50%) across 15 European countries.

View Article and Find Full Text PDF

Kidney transplantation (KT) is a life-saving treatment for patients with end-stage renal disease, but post-transplant infections remain one of the most significant challenges. These infections, caused by a variety of pathogens, can lead to prolonged hospitalization, graft dysfunction, and even mortality, particularly in immunocompromised patients. Traditional diagnostic methods often fail to identify the causative organisms in a timely manner, leading to delays in treatment and poorer patient outcomes.

View Article and Find Full Text PDF

Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK's transplant selection process.

View Article and Find Full Text PDF

Background: Kidney transplantation (kTx) is by far the most effective method of treating end-stage renal disease, with immunosuppressive therapy being obligatory for all, except identical twins. Despite kTx being the most effective treatment for end-stage renal disease, the patients face significant morbidity. They are often burdened with diabetes, anaemia, lipid disorders, all of which pose heightened risks for cardiovascular disease.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!