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Articles tagged "Prediction models"

  • 2021 American Transplant Congress

    Days of Delayed Graft Function and Its Impact on Graft Outcomes in Deceased Donor Kidney Transplant

    P. Budhiraja1, R. J. Butterfield2, S. S. Misra1, K. S. Reddy3, L. Kodali1, H. A. Khamash1, S. Nair1, G. K. Mour1, H. A. Chakkera1, C. C. Jadlowiec3, H. Janna1, R. L. Heilman1

    1Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ, 2Department of Statistics, Mayo Clinic Arizona, Phoenix, AZ, 3Department of Surgery, Mayo Clinic Arizona, Phoenix, AZ

    *Purpose: There has been controversy regarding impact of delayed graft function (DGF) on risk of acute rejection and graft survival. This is likely due to…
  • 2021 American Transplant Congress

    Poor Reliability of Karnofsky Performance Score in Kidney Transplant Candidates

    M. R. Stedman, D. J. Watford, G. M. Chertow, J. C. Tan

    Medicine, Stanford University, Palo Alto, CA

    *Purpose: The Karnofsky Performance Status (KPS) Scale has been used as a proxy for frailty and as a predictor of transplant outcomes, however reliability of…
  • 2021 American Transplant Congress

    Creatinine Reduction Ratio at 2 Postoperative Day as a Predicting Factor of Long-Term Outcomes After Living Donor Kidney Transplantation

    Y. Kinoshita, T. Shinzato, T. Shimizu, D. Iwami

    Division of Renal Surgery and Transplantation, Department of Urology, Jichi Medical University Hospital, Shimotsuke, Tochigi, Japan

    *Purpose: Creatinine reduction ratio from 1 to 2 postoperative days (CRR2) under 30% has been defined as a slow graft function (SGF) and used to…
  • 2021 American Transplant Congress

    Artificial Neural Network Application for MELDNa Prediction

    L. Pruinelli1, M. Nguyen1, S. Olson1, J. Zhou1, J. Schold2, T. Pruett1, S. Ma1, G. Simon1

    1University of Minnesota, Minneapolis, MN, 2Cleveland Clinic Foundation, Cleveland, OH

    *Purpose: The adoption of MELDNa decreased 90-days mortality on patients waiting for liver transplant (LT); however, there are no tools available to predict MELDNa trajectories…
  • 2021 American Transplant Congress

    Incidence and Risk Factors for Nonmelanoma Skin Cancer in Lung Transplant Recipients

    G. Holdren1, E. Lushin1, M. Duncan2, C. Hage2

    1Pharmacy, Indiana University Health, Indianapolis, IN, 2Pulmonary Critical Care, Indiana University Health, Indianapolis, IN

    *Purpose: The purpose of this study is to identify the incidence of nonmelanoma skin cancer (NMSC) post lung transplantation and to examine the relationship between…
  • 2021 American Transplant Congress

    Transplant Data Platform – An Augmented Clinical Intelligence Framework

    C. Focht, W. Tian, J. Zeng, N. Dzebisashvili, S. Ghosh

    CareDx, Brisbane, CA

    *Purpose: UNOS, SRTR, USRDS registries are rich in patient baseline data. However, all suffer from data attrition as patients move further out post-transplant or between…
  • 2021 American Transplant Congress

    Construction of a Waiting Time Predictive Model for Kidney Transplant with Deceased Donor in the State of São Paulo

    J. Silva1, M. Contti1, M. Valiatti1, H. Nga1, G. Santos1, M. Perosa2, G. Ferreira3, L. Modelli de Andrade1

    1UNESP, Botucatu, Brazil, 2Hospital Leforte, São Paulo, Brazil, 3Santa Casa de Juiz de Fora, Juiz de Fora, Brazil

    *Purpose: Chronic kidney disease is an important public health problem and kidney transplant is the therapy of choice when possible. The transplant system in the…
  • 2021 American Transplant Congress

    Offer Acceptance Models for Various Endpoints: Initial Response, Final Response, and Conversion from Provisional Yes to Yes

    C. Martinez, M. Stuart, A. Placona

    United Network for Organ Sharing, Richmond, VA

    *Purpose: Offer acceptance models are routinely used for program evaluation and academic research, but the focus tends to be on modelling the final offer response.…
  • 2021 American Transplant Congress

    Growth Differentiation Factor 15 Predictor Value is Superior to Troponin I in the Evaluation of Kidney Transplant Candidates

    M. de Cos Gomez1, M. Garcia Unzueta2, A. Benito Hernandez1, J. Mazon Ruiz1, M. Perez Arnedo1, A. Aguilera Fernandez1, R. Valero San Cecilio1, J. Ruiz San Millan1, E. Rodrigo Calabia1

    1Nephrology, Marques de Valdecilla University Hospital - IDIVAL, Santander, Spain, 2Clinical Analysis, Marques de Valdecilla University Hospital - IDIVAL, Santander, Spain

    *Purpose: Pretransplant cardiac troponin I (cTNI) has demonstrated its predictor value of survival after kidney transplant in previous studies. Growth differentiation factor 15 (GDF-15) is…
  • 2021 American Transplant Congress

    Accounting for Survivor Bias in Transplant Benefit Models

    E. M. Schnellinger1, E. Cantu2, M. O. Harhay1, D. E. Schaubel1, S. E. Kimmel1, A. J. Stephens-Shields1

    1Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 2Department of Surgery, Division of Cardiovascular Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA

    *Purpose: The lung allocation system in the U.S. prioritizes lung transplant candidates based on estimated pre- and post-transplant survival. However, these models do not account…
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