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http://dx.doi.org/10.1093/ndt/16.10.2114 | DOI Listing |
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 PDFClin Kidney J
January 2025
Department of Nephrology-Hypertension, Antwerp University Hospital, Edegem, Belgium.
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.
Front Cell Infect Microbiol
January 2025
Department of Urology II, The First Hospital of Jilin University, Changchun, China.
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 PDFPredicting 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 PDFBMC Nephrol
January 2025
Department of Clinical Dietetics, Medical University of Warsaw, Erazma Ciolka 27 Street, Warsaw, 01-445, Poland.
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.
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