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Articles tagged "Prediction models"

  • 2019 American Transplant Congress

    Diminishing Scientific Registry of Transplant Recipients Risk-Adjusted Mortality: Reaction to Flagging, Artifact of Modeling, or Both?

    J. A. Gregg1, K. L. Womer1, A. Santos1, S. J. Moore2, K. A. Andreoni3

    1Division of Nephrology, Hypertension, and Renal Transplantation, University of Florida, Gainesville, FL, 2Shands Transplant Center, University of Florida, UF Health Shands, Gainesville, FL, 3Department of Surgery, University of Florida, Gainesville, FL

    *Purpose: To examine longitudinal trends in SRTR risk-adjusted patient and graft survival rates.*Methods: Current, and archived versions of The Scientific Registry of Transplant Recipients (SRTR)…
  • 2019 American Transplant Congress

    Predictors of Glomerular Filtration Rate after Renal Transplantation

    O. Andacoglu, Y. Dong, J. Liu, M. Parides, J. Rocca, J. Graham, M. Ajaimy, Y. Azzi, C. Pynadath, L. Liriano-Ward, M. Kinkhabwala, E. Akalin, S. Greenstein

    Montefiore Medical Center, Bronx, NY

    *Purpose: Glomerular filtration rate (GFR) is an excellent indicator of renal function however there is limited data on the impact of KDPI on long term…
  • 2019 American Transplant Congress

    Association of Pretransplant and Posttransplant 5-Tier Ratings with Candidate Mortality after Listing

    A. Wey, S. Gustafson, N. Salkowski, B. Kasiske, M. Skeans, C. Schaffhausen, A. Israni, J. Snyder

    SRTR, Minneapolis, MN

    *Purpose: The OPTN Final Rule mandates the Scientific Registry of Transplant Recipients (SRTR) to publish understandable reports of transplant rate, waitlist mortality, and posttransplant outcomes.…
  • 2019 American Transplant Congress

    Can National Data Predict Which Older Kidney Donors Are More Likely to Yield Higher eGFR 1-Year Post-Transplant?

    C. A. Custer1, R. J. Carrico1, T. L. Pruett2

    1United Network for Organ Sharing, Richmond, VA, 2University of Minnesota, Minneapolis, MN

    *Purpose: Older donors (65+) have been utilized at low rates despite accounting for the majority of deaths in the U.S. (73%, CDC). Kasiske et al.…
  • 2019 American Transplant Congress

    A Clinical Pharmacogenetic Model to Predict the Efficacy of Sirolimus during the Early Administration in Renal Transplant Recipients

    Z. Wang, S. Fei, Z. Han, J. Tao, R. Tan, M. Gu

    No.300 Guangzhou Road of Nanjing, Nanjing, China

    *Purpose: This study was to develop a clinical pharmacogenetic model to predict the efficacy of sirolimus during the early administration in renal transplant recipients. 70…
  • 2019 American Transplant Congress

    Is Living Donor Kidney Donor Profile Index Useful for Japanese?

    K. Okumura1, K. Tanaka2, Y. Hidaka2, M. Toyoda3, S. Uekihara3, A. Inadome4, H. Yokomizo2, S. Yamanaga2

    1Department of Surgery, University of Pittsburgh, Pittsburgh, PA, 2Department of Surgery, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan, 3Department of Nephrology, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan, 4Department of Urology, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan

    *Purpose: Kidney donor profile index is widely used to evaluate the deceased donor quality. Furthermore, living kidney donor profile index (LKDPI) was recently proposed by…
  • 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…
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