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American Transplant Congress abstracts

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Articles tagged "Prediction models"

  • 2020 American Transplant Congress

    Trust and Transparency in Artificial Intelligence-Aided Immunosuppression Decisions

    J. Clement

    Information and Decision Sciences, University of Minnesota, Minneapolis, MN

    *Purpose: In transplant, there is significant interest in using Artificial Intelligence (including machine learning or predictive models) Clinical Decision Support Systems(AI CDSS). Properly designing and…
  • 2020 American Transplant Congress

    Bariatric Surgery for Congestive Heart Failure Patients Improves Access to Transplantation and Long-Term Survival

    R. A. Choudhury1, G. Hoeltzel2, H. B. Moore1, H. Yaffe1, D. Yoeli1, K. R. Dumon3, K. D. Conzen1, T. L. Nydam1

    1Department of Surgery- Division of Transplantation Surgery, University of Colorado Hospital, Aurora, CO, 2Thomas Jefferson University Hospital, Philadelphia, PA, 3Department of Surgery, University of Colorado Hospital, Philadelphia, PA

    *Purpose: Obese patients with congestive heart failure (CHF) are often denied access to heart transplantation until they obtain significant weight loss to achieve a certain…
  • 2019 American Transplant Congress

    Predicting HCC Recurrence Following Liver Transplant – A Machine Learning Approach

    L. F. Lau1, W. Nelson2, A. Gorgen1, L. Erdman2, P. Abreu1, A. Goldenberg2, G. Sapisochin1

    1Department of Surgery, University of Toronto, Toronto, ON, Canada, 2The Center for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada

    *Purpose: The liver transplant listing criteria for hepatocellular carcinoma (HCC) is controversial. Policies aim to prevent tumor recurrence but it has been difficult to encompass…
  • 2019 American Transplant Congress

    Pre-Transplant Ventricular Assist Device (VAD) Impacts Heart Transplant (HT) Survival

    M. S. Gharibdousti1, M. T. Khasawneh2, A. L Friedman3

    1Research, LiveOnNY, Manhattan, NY, 2Binghamton University, Binghamton, NY, 3LiveOnNY, Manhattan, NY

    *Purpose: Retrospective analysis of UNOS data was performed to determine regional variation in the utilization and impact of VAD prior to HT in the United…
  • 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…
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