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American Transplant Congress abstracts

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Articles tagged "Prediction models"

  • 2022 American Transplant Congress

    Proteomic Profiling of Bile from Human Livers Undergoing Viability Assessment via Normothermic Machine Perfusion Prior to Transplantation

    A. M. Thorne1, J. C. Wolters2, F. Kuipers1, R. J. Porte1, V. E. de Meijer1

    1University Medical Center Groningen, Groningen, Netherlands, 2University of Groningen, Groningen, Netherlands

    *Purpose: Normothermic machine perfusion (NMP) has gained increasing traction as a method to assess the viability of high-risk donor livers. To avoid post-transplant biliary complications,…
  • 2022 American Transplant Congress

    Cold Pulsatile Perfusion Resistance of Deceased Donor Kidneys Mainly Dependent on Renal Mass, Donor Age and Donor AKI, Other Donor Factors Have Minimal Impact

    D. Keith, E. Lessmann

    Kidney Transplant, Sacred Heart Hospital, Pensacola, FL

    *Purpose: To determine the factors influencing resistance to flow during cold pulsatile perfusion preservation (CPPP) of deceased donor kidneys.*Methods: All donor kidneys procured for possible…
  • 2022 American Transplant Congress

    Predicting Long Term Kidney-Allograft Failure: Machine Learning vs Traditional Statistical Models

    A. Truchot1, M. Raynaud1, c. lefaucheur2, O. Aubert1, A. Loupy1

    1Paris Transplant Group, Paris, France, 2Hôpital Saint-Louis, Paris, France

    *Purpose: Prognostic models have been developed in organ transplant over the past years using traditional statistical models. However, whether these are outperformed by machine learning…
  • 2022 American Transplant Congress

    Waitlist Meldna Variation One-year Prior To Liver Transplant Predicts Length Of Stay At The Time Of Transplant

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

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

    *Purpose: MELDNa is used to estimate 90-day mortality in the waitlist. MELDNa variation between cross-sections has shown a better predictivity than when analyzed as a…
  • 2022 American Transplant Congress

    Predicting Urinary Tract Infections Requiring Hospitalization in Living Donor Kidney Transplant Recipients

    A. Dinh, T. Copeland, D. Adey, E. Ku

    UCSF, San Francisco, CA

    *Purpose: Urinary tract infections (UTI) requiring hospitalization are common after kidney transplantation and are associated with increased risk of graft failure. Identifying patients at high…
  • 2021 American Transplant Congress

    The Initial Impact of Covid-19 on Reported Graft Failure Rates and Potential Confounding of Srtr Psrs

    A. Wey1, J. Miller1, D. Musgrove1, Y. Ahn1, M. Valapour2, N. Salkowski1, M. Skeans1, A. Massie3, R. Hirose4, D. Segev3, A. Israni1, J. Snyder1, B. Kasiske1

    1SRTR, Minneapolis, MN, 2Cleveland Clinic, Cleveland, OH, 3Johns Hopkins, Baltimore, MD, 4Univ of California, San Francisco, San Francisco, CA

    *Purpose: COVID-19 could bias the Scientific Registry of Transplant Recipients (SRTR) program-specific reports (PSRs), especially if its impact varied geographically.*Methods: Recipients who received transplants from…
  • 2021 American Transplant Congress

    Relationship of Functional Frailty and Radiographic Sarcopenia to Outcomes After Liver Transplant

    S. L. Olson, P. Polineni, W. Schwartz, O. Siddiqui, L. Zhao, D. Ganger, D. P. Ladner

    Comprehensive Transplant Center, Northwestern University, Chicago, IL

    *Purpose: Frailty and sarcopenia are associated with increased risk of hospitalization and mortality in end stage liver disease patients. Frailty can be measured clinically using…
  • 2021 American Transplant Congress

    Risk Classification Models for Kidney Graft Failure

    M. G. Naik1, K. Budde1, D. Telmo Neves2

    1Medical Department, Division of Nephrology and Internal Intensive Care Medicine, Charité, Berlin, Germany, 2Intelligent Analytics for Massive Data, German Research Center for Artificial Intelligence, Berlin, Germany

    *Purpose: Longterm graft survival after kidney transplantation is stagnant over the last decades. An individual risk assessment for graft failure is needed. In our project…
  • 2021 American Transplant Congress

    A Machine Learning-Based Predictive Model for Outcome of Covid-19 in Kidney Transplant Recipients

    I. Revuelta1, F. Santos-Arteaga2, D. Di Caprio3, E. Montagud-Marrahi1, F. Cofan1, J. Torregrosa1, M. Bodro4, A. Moreno4, P. Ventura-Aguiar1, D. Cucchiari1, N. Esforzado1, G. Piñeiro1, J. Ugalde-Altamirano1, J. Campistol1, A. Alcaraz5, B. Bayès1, E. Poch1, F. Oppenheimer1, F. Diekmann1

    1Department of Nephrology and Kidney Transplant, Hospital Clinic, Barcelona, Spain, 2Faculty of Economics and Management, Free University of Bolzano, Bolzano, Italy, 3Department of Economics and Management, University of Trento, Trento, Italy, 4Department of Infectious Diseases, Hospital Clinic, Barcelona, Spain, 5Department of Urology, Hospital Clinic, Barcelona, Spain

    *Purpose: Health systems need tools to deal with COVID-19, especially for high-risk population,such as transplant recipients. Predictive models are necessary to improve management of patients…
  • 2021 American Transplant Congress

    Predictive Index for Liver Retransplantation

    C. Christmann, G. Handing, M. McDonald, A. Anand, S. Keeling, N. T. Galván, R. Cotton, C. O'Mahony, J. Goss, A. Rana

    Baylor College of Medicine, Houston, TX

    *Purpose: Given the increase in demand for donor livers, it has become more critical than ever to predict mortality in order to identify the best…
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