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American Transplant Congress abstracts

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Articles tagged "Prediction models"

  • 2020 American Transplant Congress

    Predictive Validity of Functional Status on Mortality in Adult Kidney Transplant Recipients

    N. Chu, Z. Shi, D. Segev, M. McAdams Demarco

    Johns Hopkins, Baltimore, MD

    *Purpose: Frailty and disabilities, though not routinely measured, are highly prevalent in kidney transplant (KT) recipients and predict poor post-transplant outcomes. The Karnofsky Performance Scale…
  • 2020 American Transplant Congress

    Artificial Intelligence May Predicts Early Sepsis in Liver Transplantation

    R. D. Kamaleswaran1, R. Lowell Davis2, J. D. Eason3, S. Sataphaty4, V. R. Mas5, D. Maluf3

    1Biostatistics, Emory, Atlanta, GA, 2Center for Biomedical Informatics & Division of Critical Care Medicine, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, 3Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, 4Sandra Atlas Bass Center for Liver Diseases & Transplantation, Northshore University Hospital/Northwell Health, NSHS, NY, 5Biostatistics, Emory, Atlanta, TN

    *Purpose: Sepsis post liver transplantation is a frequent challenge impacting patient outcomes. We aimed to develop an artificial intelligence method to predict earlier the onset…
  • 2019 American Transplant Congress

    Don’t Believe the Hype: Machine Learning-Based Prediction of Kidney Transplant Outcomes

    S. Bae, D. Segev

    Johns Hopkins University, Baltimore, MD

    *Purpose: Machine learning (ML) algorithms may better predict kidney transplant (KT) outcomes at the expense of model interpretability and hypothesis testing. We aimed to compare…
  • 2019 American Transplant Congress

    The Economic Burden of Graft Failure in the United States

    J. A. Sussell1, A. R. Silverstein1, P. Goutam1, D. Incerti1, R. Kee1, D. S. Batty, Jr.2, C. X. Chen2, J. Jansen1, B. L. Kasiske3

    1Precision Health Economics, Oakland, CA, 2Medeor Therapeutics, South San Francisco, CA, 3Hennepin County Medical Center, Minneapolis, MN

    *Purpose: Despite recent advances, graft failure imposes a substantial burden on kidney transplant recipients. This study is the first to quantify this burden in economic…
  • 2019 American Transplant Congress

    Modeling Patients as Dynamical Systems: Evaluating the Efficiency of Kidney Transplantation through Multi-Stage Data Envelopment Analysis

    F. J. Santos Arteaga1, D. Di Caprio2, D. Cucchiari3, J. M. Campistol3, F. Oppenheimer3, F. Diekmann3, I. Revuelta3

    1Faculty of Economics and Management, Free University of Bolzano, Bolzano, Italy, 2Department of Mathematics and Statistics, York University, Toronto, ON, Canada, 3Department of Nephrology and Kidney Transplant, Hospital Clinic, Barcelona, Spain

    *Purpose: The occurrence of kidney graft loss is determined by a large set of variables interacting across the different stages of the transplantation process. This…
  • 2019 American Transplant Congress

    The End of Non-Directed Living Kidney Donation: The National Kidney Registry’s Family Voucher Program

    M. Cooper1, D. Leeser2, S. Flechner3, J. Verbesey1, M. Ronin4, G. Hil4, A. Waterman5, J. Veale5

    1Georgetown Transplant Institute, Washington, DC, 2East Carolina University, Greenville, NC, 3Cleveland Clinic, Cleveland, OH, 4National Kidney Registry, New York, NY, 5UCLA, Los Angeles, CA

    *Purpose: The continued growth of the National Kidney Registry’s (NKR) Voucher program has extended Kidney Paired Donation (KPD) to include chronological incompatibility which is facilitating…
  • 2019 American Transplant Congress

    Interpretable Post-Transplant Graft Failure Prediction Using Decision Tree Neural Networks

    J. N. Valdez1, T. Fu1, J. Hogan2, S. Adhikary1, M. Arenson2, R. Zhang2, X. Zhang3, K. Li2, A. B. Adams2, R. E. Patzer2, J. Sun1

    1Georgia Institute of Technology, Atlanta, GA, 2Emory University, Atlanta, GA, 3University of Michigan, Ann Arbor, MI

    *Purpose: Various predictive models identify kidney transplant (KTx) recipients at high risk of graft failure (GF), but comparisons across statistical approaches for a full range…
  • 2019 American Transplant Congress

    Surgical Management Of Five Hundred Patients With Chronic Gut Failure At A Single Center: Autologous Reconstruction Versus Transplantation

    S. Armanyous, Y. Fouda, M. Fujiki, N. Parekh, M. Osman, R. Girlanda, K. Hashimoto, G. Costa, K. Abu-Elmagd

    Cleveland Clinic, Cleveland, OH

    *Purpose: To define the evolving role of autologous gut reconstruction (AGR) in the management of total parenteral nutrition (TPN)-dependent-chronic gut failure (CGF) patients with special…
  • 2019 American Transplant Congress

    Early Readmission After Renal Transplant As A Valuable Quality Measure

    S. Kim1, A. Osband1, B. Merhi2, G. Bayliss2, R. Gohh2, P. Morrissey1

    1Surgery, Rhode Island Hospital, Providence, RI, 2Nephrology, Rhode Island Hospital, Providence, RI

    *Purpose: Patient and graft survival have been criticized as imprecise measures of transplant program quality. Thirty-day (30d) readmission rates, available nationally and attainable locally, may…
  • 2019 American Transplant Congress

    Can Cardiac Risk Predictor Models Be Trusted in Kidney Transplant Recipients?

    K. L. Hoffman1, R. R. Alloway1, A. Shields2, E. Woodle2, A. Govil1

    1Nephrology & Transplant Medicine, University of Cincinnati, Cincinnati, OH, 2Transplant Surgery, University of Cincinnati, Cincinnati, OH

    *Purpose: Kidney transplant recipients (KTR) bear a higher risk of developing cardiovascular disease due to comorbid conditions. Non-invasive cardiovascular risk stratification tools have not been…
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