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American Transplant Congress abstracts

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Articles tagged "Prediction models"

  • 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 Simple HLA Class II Matching Strategy for the Prediction of De Novo Donor-Specific HLA Antibodies

    L. G. Hidalgo1, I. A. Martinez Juarez2, L. Morales-Buenrostro3, S. Shojai4, P. Campbell4

    1Surgery, University of Wisconsin - Madison, Madison, WI, 2Nephrology, Hospital Angeles Pedregal, Mexico City, Mexico, 3Nephrology, Instituto Nacional de Ciencias Medicas y Nutricion, Mexico City, Mexico, 4Medicine, University of Alberta, Edmonton, AB, Canada

    *Purpose: In kidney transplantation, degree of HLA Class II mismatch (MM) between donor and recipient drives the risk to develop de novo DSA (dnDSA). New…
  • 2020 American Transplant Congress

    Reverse Epidemiology and the Obesity Paradox for Patients with Chronic Kidney Disease

    R. A. Choudhury1, D. Yoeli1, H. B. Moore1, H. Yaffe1, G. Hoeltzel2, K. R. Dumon3, N. N. Williams3, P. L. Abt4, 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, 3University of Pennsylvania Hospital, Philadelphia, PA, 4Department of Surgery- Division of Transplantation Surgery, University of Pennsylvania Hospital, Philadelphia, PA

    *Purpose: Obesity has been associated with both increased progression of chronic kidney disease as well as with a paradoxical improvement in survival among ESRD patients…
  • 2020 American Transplant Congress

    Timing of Bariatric Surgery for Obese Kidney Transplant Candidates

    R. A. Choudhury1, D. Yoeli1, G. Hoeltzel2, H. B. Moore1, H. Yaffe1, K. R. Dumon3, N. N. Williams3, P. L. Abt4, K. D. Conzen1, T. Pshak1, P. T. Kennealey1, 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 Pennsylvania Hospital, Philadelphia, PA, 4Department of Surgery- Division of Transplantation Surgery, University of Pennsylvania Hospital, Philadelphia, PA

    *Purpose: The high risk profile of bariatric surgery in obese end-stage-renal disease (ESRD) patients has caused many to suggest that surgery should be reserved for…
  • 2020 American Transplant Congress

    A Hybrid Data Envelopment Analysis-Artificial Neural Network (DEANN) Technique for Extrapolating the Evolution of Kidney Transplant Patients

    F. 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 Economics and Management, University of Trento, Trento, Italy, 3Renal Transplant Unit, Department of Nephrology and Kidney Transplant, Hospital Clinic, Barcelona, Spain

    *Purpose: The current study introduces a hybrid Data Envelopment Analysis (DEA) - Artificial Neural Network (ANN) technique to extrapolate the evolution of transplant patients based…
  • 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…
  • 2020 American Transplant Congress

    Using Artificial Intelligence Tools for Identification of High Risk Transplant Recipients for Focused Management

    M. A. Schnitzler1, C. Dagli2, C. Canfield2, N. Dzebisashvili3, C. Varma1, D. Axelrod4, K. Lentine1, R. Ouseph1, H. Randall1

    1Saint Louis University, St. Louis, MO, 2Missouri S&T, Rolla, MO, 3CareDx, Brisbane, CA, 4University of Iowa, Iowa City, IA

    *Purpose: Resources for post-transplant patient monitoring are limited. Statistical stratification can facilitate focused attention on highest risk patients. We developed a monitoring tool for graft…
  • 2020 American Transplant Congress

    The Use of dd-cfDNA as a Predictive Tool for Future Proteinuria

    S. Jordan1, P. Sood2, J. Bromberg3, D. Brennan4

    1Cedars-Sinai, Los Angeles, CA, 2University of Pittsburgh Medical Center, Pittsburgh, PA, 3University of Maryland, Baltimore, MD, 4The Johns Hopkins Hospital, Baltimore, MD

    *Purpose: Most allografts with proteinuria >1500 mg/dL have new glomerular pathology. In contrast, lower levels of proteinuria are generally associated with non-glomerular, nonspecific histologic changes.…
  • 2020 American Transplant Congress

    Anticipated Cost Savings of Using Lungs from Hepatitis C-Positive Lung Donors for Hepatitis C-Negative Recipients

    K. Ryland1, J. Mallea2, J. Moriarty3, L. White4, B. Borah5, J. Naessens3

    1Transplantation, Mayo Clinic, Jacksonville, FL, 2Medicine, Mayo Clinic, Jacksonville, FL, 3Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, 4Health Sciences Research, Mayo Clinic, Jacksonville, FL, 5Health Sciences Research, Mayo Clinic, Rochester, MN

    *Purpose: We assessed the cost savings generated by additional organ availability due to utilizing lungs from hepatitis-C infected donors for transplantation in comparison to existing…
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