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http://dx.doi.org/10.1016/j.healun.2020.04.005 | DOI Listing |
PLoS One
January 2025
Worldwide Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, NJ, United States of America.
Background: Belatacept is approved for the prophylaxis of organ rejection in Epstein-Barr virus (EBV)-seropositive kidney transplant recipients and is associated with a risk of post-transplant lymphoproliferative disorder (PTLD).
Methods: Data from the Organ Procurement and Transplantation Network were used to examine patterns of belatacept use, describe patient characteristics, and estimate risk of PTLD in EBV-seropositive, kidney-only transplant recipients receiving belatacept- or calcineurin inhibitor (CNI)-based immunosuppression as part of US Food and Drug Administration-mandated safety monitoring.
Results: During the study period (June 15, 2011-June 14, 2016), 94.
Clin Transplant
January 2025
Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, Washington, USA.
Background: The use of donor kidneys with acute kidney injury (AKI) aims to expand the organ pool, but uncertainty remains regarding their outcomes across different Kidney Donor Profile Index (KDPI) groups and preservation methods.
Methods: We retrospectively analyzed 108 160 deceased donor kidney transplants from the OPTN database, focusing on adult recipients of kidneys from donors with or without AKI between December 2014 and December 2022. Propensity matching was used for each KDPI group (1-20, 21-59, 60-84, and 85-100), comparing donors with AKIN stages 0-1 to AKIN stages 2-3.
Curr Res Transl Med
January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
View Article and Find Full Text PDFJ Virol
January 2025
Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA.
Unlabelled: Human noroviruses (HuNoVs) are the leading cause of acute gastroenteritis worldwide. Currently, there are no targeted antivirals for the treatment of HuNoV infection. Histo-blood group antigens (HBGAs) on the intestinal epithelium are cellular attachment factors for HuNoVs; molecules that block the binding of HuNoVs to HBGAs thus have the potential to be developed as antivirals.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
September 2024
Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Background: COVID-19 patients exhibit higher incidence of thrombosis in arteries and veins, including those in lungs. Vasa vasorum, which support large blood vessels, have shown involvement in these pathologic processes.
Methods: To further explore the extent of microvascular damage caused by COVID-19 infection, we examined resected main, right, or left pulmonary artery specimens from patients undergoing bilateral lung transplantation for COVID-19- or non-COVID-19-induced pulmonary fibrosis compared with organ donors by histologic and immunohistologic analyses.
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