ATC Abstracts

American Transplant Congress abstracts

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  • 2022 American Transplant Congress

    Conversion to Everolimus-Based Immunosuppression Regimen with Calcineurin Inhibitor Reduction Ameliorates Histological Damage in Kidney Transplant Recipients with Calcineurin Inhibitor-Induced Nephrotoxicity

    K. Hotta, N. Iwahara, T. Tanabe, N. Shinohara

    Hokkaido University Hospital, Sapporo, Japan

    *Purpose: In the last two decades, the short-term results for kidney transplantation (KTX) have improved owing to the use of calcineurin inhibitors (CNIs). However, long-term…
  • 2022 American Transplant Congress

    Effect of Covid-19 Diagnosis on Organ Donation and Transplantation

    L. Baetje1, A. Cheng1, S. Sander2, L. Markham2, M. Ott2, J. Finn2, A. Wee3, K. Dyer4, A. Atluri1, D. Jahandar1, M. Moncure4

    1University of Missouri - Kansas City School of Medicine, Kansas City, MO, 2Midwest Transplant Network, Westwood, KS, 3Transplantation Center, Cleveland Clinic, Cleveland, OH, 4University Health Kansas City, Kansas City, MO

    *Purpose: The coronavirus disease 2019 (COVID-19) pandemic has challenged many aspects of healthcare, including organ donation and transplantation. The purpose of this study is to…
  • 2022 American Transplant Congress

    Cold Pulsatile Perfusion Preservation of Deceased Donor Kidneys Did Not Improve Delayed Graft Function Rates in Most Transplants Due to Longer Cold Ischemia Times Offsetting Much of the Benefit, Analysis of SRTR Database

    D. S. Keith, E. Lessmann

    Kidney Transplant, Ascension Sacred Heart Hospital, Pensacola, FL

    *Purpose: To determine the impact of cold pulsatile perfusion preservation (CPPP) on delayed graft function (DGF) in a national cohort of US kidney transplants as…
  • 2022 American Transplant Congress

    Management of Brain-Dead Organ Donors by a Dedicated ICU Team Improves Organ Yield

    G. L. Piper1, B. E. Sullivan1, G. Boulton1, T. C. Lewis1, J. Pavone1, C. Ezzell2, D. E. Smith III3, L. Angel1, N. Moazami3, R. Montgomery1

    1NYU Langone Transplant Institute, New York, NY, 2LiveOnNY, New York, NY, 3Cardiothoracic Surgery, NYU Langone Health, New York, NY

    *Purpose: Management of brain-dead (BD) donors can be challenging in hospitals with limited ICU bed availability, lack of accessible diagnostic capabilities, and a culture that…
  • 2022 American Transplant Congress

    Prediction of Delayed Graft Function After Deceased Donor Kidney Transplantation Using Machine Learning and Sequential Donor Data

    J. Sageshima1, J. Yu1, H. Lala Gul1, F. De Leon1, N. Goussous1, N. Mineyev1, P. Than1, K. Jen2, R. Perez1

    1Surgery, University of California Davis Health, Sacramento, CA, 2Pathology, University of California Davis Health, Sacramento, CA

    *Purpose: Delayed graft function (DGF) has been associated with adverse kidney transplant outcomes. Accurate prediction of DGF before surgery will help select organs and candidates…
  • 2022 American Transplant Congress

    Ficoll-Based Isolation Alters the Immunogenicity of Islets That Leads to Enhanced Rejection in Allogeneic Hosts

    L. Zhang1, A. Turan2, M. Tarique1, V. Ulker1, E. Yolcu3, H. Shirwan3

    1Child Health, University of Missouri, Columbia, MO, 2Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, 3Child Health and Molecular Microbiology and Immunology, University of Missouri at Columbia, Columbia, MO

    *Purpose: The purification of pancreatic islets has long relied on the time-consuming density gradient separation method. We herein report a filtration method as an efficient,…
  • 2022 American Transplant Congress

    The Prediction of Renal Allograft Rejection by Time-Dependent Two-Signature Predictors

    M. Liao1, Q. Fu2, L. Wei3, H. Yang3, G. Zhao3, S. Deng3, J. F. Markmann2

    1School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, 2Center for Transplantation Sciences, Massachusetts General Hospital, Boston, MA, 3University of Electronic Science and Technology of China, Chengdu, China

    *Purpose: The study aims to develop RNA signature predictors using preemptive biopsy transcriptome data to predict future allograft rejection and reveal the predictors' time-dependent features.*Methods:…
  • 2022 American Transplant Congress

    Implications of Pre-Transplant (tx) COVID-19 on SOT or HCT: A Multicenter Study

    G. Haidar1, K. Hughes-Kramer2, C. Alonso3, J. Hand4, E. Blodget5, V. Srinivasa5, S. Aslam6, H. Hassouna7, C. Lawson7, M. Malinis8, S. Anjan9, E. Lease10, M. Al-Obaidi11, P. Vergidis12, J. Husson13, D. van Duin14, R. Avery15, K. Downes16, M. R. Heldman10, J. Nelson17, S. Pouch18, S. Chuang19, C. Kao20, M. Estabrook21, F. Alconchel22, S. Mazumber23, P. Samanta2, M. Wagener2, N. Singh2, F. Silveira2

    1UPitt, Pitt, PA, 2UPitt, Pittsburgh, PA, 3BIDMC, Boston, MA, 4Ochsner, New Orleans, LA, 5USC, Los Angeles, CA, 6UCSD, San Diego, CA, 7Spectrum Health, Grand Rapids, MI, 8Yale, New Haven, CT, 9UMiami, Miami, FL, 10UW, Seattle, WA, 11U Arizona, Tucson, AZ, 12Mayo, Rochester, MN, 13UMMC, Baltimore, MD, 14UNC, Chapel Hill, NC, 15JHU, Baltimore, MD, 16CHOP, Philadelphia, PA, 17Stanford, Stanford, CA, 18Emory, Decatur, GA, 19U Rochester, Rochester, NY, 20WashU, St Louis, MO, 21WashU, Saint Louis, MO, 22Spain, Murcia, Spain, 23U Tennessee, Memphis, TN

    *Purpose: Describe outcomes of patients (pt) with pre-tx COVID-19.*Methods: Multicenter study of SOT/HCT candidates who had a positive (pos) SARS-CoV-2 PCR pre-tx.*Results: Pre-tx: Of 208…
  • 2022 American Transplant Congress

    Real World Experience Utilizing Donor Kidneys at Risk for Acute Kidney Injury with Belatacept Based Maintenance Immunosuppression

    B. Sirandas, A. Chan, M. Eiting, T. Larson, C. Truax, L. Smith

    University of Utah Health, Salt Lake City, UT

    *Purpose: The demand for kidney transplant continues to rise, and limited supply has encouraged acceptance of marginal donor organs, such as those at risk for…
  • 2022 American Transplant Congress

    Evaluating the Performance and External Validity of Machine Learning-Based Prediction Models in Liver Transplantation: An International Study

    T. Ivanics1, D. So2, M. P. Claasen3, D. Wallace4, M. Patel5, A. Gravely6, K. Walker7, T. Cowling7, L. Erdman8, G. Sapisochin3

    1University of Toronto - University Health Network, Toronto, ON, Canada, 2The Centre for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 3Multi-organ transplant program, University Health Network, Toronto, ON, Canada, 4Department of Health Services Research and policy, London School of Hygiene and Tropical Medicine, London, United Kingdom, 5Division of Surgical Transplantation, University of Texas Southwestern Medical Center, Dallas, TX, 6Multi-organ transplant program, University of Toronto - University Health Network, Toronto, ON, Canada, 7Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom, 8The Centre of Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada

    *Purpose: National liver transplant (LT) registries are curated in many countries. We compared data from three national registries and developed machine learning algorithm (MLA)-based models…
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