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Articles tagged "Prediction models"

  • 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

    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 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

    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

    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

    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

    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…
  • 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

    Differences of Gut Microbiota Composition between Donor and Recipient May Predict 1-Year Graft Function

    J. Kim1, H. Cho2, J. Park3, J. Jeong1, M. Kwak4, B. Kim4, D. Kim1, J. Lee5, B. Kim6, Y. Kim1, H. Lee1

    1Seoul National University Hospital, Seoul, Korea, Republic of, 2Chungbuk National University Hospital, Cheongju, Korea, Republic of, 3Kangwon National University Hospital, Seoul, Korea, Republic of, 4Chunlab Inc., Seoul, Korea, Republic of, 5Seoul National University Boramae Hospital, Seoul, Korea, Republic of, 6Hallym University, Chuncheon, Korea, Republic of

    *Purpose: Signals derived from gut microbiota are critical for the development and maintenance of the human immune system. In view of kidney transplantation (KT), allograft…
  • 2019 American Transplant Congress

    High Health Care Utilizers in Kidney Transplantation: Do You Know Your Frequent Flyers?

    E. Weeda1, Z. Su2, D. Taber3, J. Bian2, T. A. Morinelli4, N. A. Pilch5, P. D. Mauldin2, D. A. DuBay4

    1Department of Clinical Pharmacy and Outcomes Sciences, Medical University of South Carolina`, Charleston, SC, 2General Internal Medicine and Geriatrics, Medical University of South Carolina`, Charleston, SC, 3Surgery and Ralph H. Johnson VAMC, Medical University of South Carolina`, Charleston, SC, 4Surgery, Medical University of South Carolina`, Charleston, SC, 5Clinical Pharmacy and Outcomes Sciences, Medical University of South Carolina`, Charleston, SC

    *Purpose: To assess high hospital inpatient [IP] admissions and emergency department [ED] utilization within a 9-month period after kidney transplantation in order to identify potential…
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