ATC Abstracts

American Transplant Congress abstracts

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Articles tagged "Area-under-curve (AUC)"

  • 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

    The Urine Qisant Score: Non-Invasive, Accurate, Diagnosis and Prediction of Kidney Transplant Rejection

    J. Y. Yang1, R. Sarwal1, T. Sigdel1, I. Damm1, B. Rosenbaum1, J. Liberto1, C. Chan-On1, J. Alberu2, F. Vincenti1, M. M. Sarwal1

    1University of California San Francisco, San Francisco, CA, 2University of Mexico, Instituto Nacional De Ciencias Medicas y Nutricion, San Francisco, CA

    *Purpose: Accurate and non-invasive monitoring of renal allografts post-transplant is essential for early detection of acute rejection (AR) and to directly impact the long-term survival…
  • 2020 American Transplant Congress

    Machine Learning to Predict Deceased Donor Liver Biopsy Results

    C. Martinez, A. Placona

    United Network for Organ Sharing, Richmond, VA

    *Purpose: Biopsies are often cited as a key factor on whether to accept a deceased liver offer. Motivated by the influential role of biopsy findings…
  • 2020 American Transplant Congress

    Performance of the Retreat Score in Predicting Post-Transplant Hepatocellular Carcinoma Recurrence at a Large Academic Center

    N. Mahmud, N. Philips, S. Ekpanyapong, S. Prenner, M. Levine, R. Reddy, M. Hoteit

    Hospital of the University of Pennsylvania, Philadelphia, PA

    *Purpose: Post-transplant hepatocellular carcinoma recurrence (R-HCC) results in poor outcomes. The RETREAT score was recently derived to predict HCC recurrence, incorporating pre-transplant alpha fetoprotein and…
  • 2020 American Transplant Congress

    Development of Novel Multivariable Logistic Regression Model for Predicting Graft Failure within 2 Weeks and 4 Weeks after Liver Transplantation Using Post-Transplantation Laboratory Values

    J. Kwon, S. Kim, G. Choi, J. Joh, J. Park, J. Rhu, K. Kim, O. Lee, M. Lim, E. Jeong, J. Yang

    Transplantation, Samsung Medical Center, Seoul, Korea, Republic of

    *Purpose: This study designed a prediction model for graft failure after liver transplantation.*Methods: Multivariable logistic regression including aspartate aminotransferase (AST), total bilirubin (TB), and international…
  • 2020 American Transplant Congress

    Machine Learning to Predict Deceased Donor Kidney Biopsy Results

    C. Martinez, A. Placona

    United Network for Organ Sharing, Richmond, VA

    *Purpose: Despite inconclusive evidence that kidney biopsy findings are associated with graft outcomes, biopsies are often cited as a key factor on whether to accept…
  • 2020 American Transplant Congress

    A Novel Formula to Determine Optimal Immunosuppression in Renal Transplant Recipients Treated with Tacrolimus and Mycophenolate Mofetil: Towards Individualized Immunosuppression

    O. Pankewycz1, M. Laftavi1, E. Onan2, D. Rucker1, D. Wang1, K. Bhuta1, R. Gruessner3, A. Gruessner3

    1SUNY, Upstate Medical University, Syracuse, NY, 2Cukurova University, Adana, Turkey, 3SUNY, Downstate Medical University, New York, NY

    *Purpose: Tacrolimus (TAC) and mycophenolic acid (MPA) remain the most commonly used drug combination for kidney transplant immunosuppression. Adequate drug dosing is challenging due to…
  • 2020 American Transplant Congress

    Machine Learning Model Outperforms Linear Regression Models for 1- and 3-Year Post-Transplant Survival: Is This the Future?

    R. W. Pettit1, S. J. Corr2, J. Havelka3, A. Rana1

    1Baylor College of Medicine, Houston, TX, 2Interdisciplinary Surgical Technology and Innovation Center, Baylor College of Medicine, Houston, TX, 3InformAI, Houston, TX

    *Purpose: Modeling is essential for regulatory oversight and risk stratification in clinical practice. Our hypothesis was that machine learning models would be superior to linear/logistic…
  • 2020 American Transplant Congress

    Pharmacokinetics of Maribavir in Subjects with Moderate Hepatic Impairment

    I. H. Song1, K. Ilic2, J. Wu3

    1Quantitative Clinical Pharmacology, Shire, a Takeda Company, Lexington, MA, 2Rare Disease TAU, Shire, a Takeda Company, Lexington, MA, 3Biostat, Shire, a Takeda Company, Lexington, MA

    *Purpose: Maribavir, an investigational agent for cytomegalovirus (CMV) infection in transplant recipients, has received Breakthrough Therapy Designation. Maribavir is metabolized primarily in the liver through…
  • 2020 American Transplant Congress

    Association between Sarcopenia and Nutritional Factors in Kidney Transplant Recipients

    A. Kosoku1, J. Uchida1, T. Ishihara2, T. Iwai1, H. Shimada1, K. Kabei1, S. Nishide1, T. Naganuma1, T. Nakatani1

    1Urology, Osaka City University Graduate School of Medicine, Osaka, Japan, 2Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gihu, Japan

    *Purpose: Malnutrition is an important risk factor for the development of sarcopenia. Several methods are used for the assessment of nutritional status including serum albumin…
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