2019 American Transplant Congress
Apparatus and Method to Facilitate In-Situ Cold Perfusion of Abdominal Organs in DCD Donors
Gift of Hope Organ & Tissue Donor Network, Itasca, IL
*Purpose: Rapid, effective in-situ cold perfusion of the abdominal organs in the setting of donation after circulatory death (DCD) is a critical surgical task to…2019 American Transplant Congress
Validation Of The Optimized Prediction Of Mortality (Opom) Machine Learning Model For Non-hepatocellular Carcinoma Candidates Awaiting Liver Transplant
*Purpose: Currently the Model for End-Stage Liver Disease (MELD) is used to rank candidates for liver transplant in many jurisdictions. However, MELD does not provide…2019 American Transplant Congress
Creating Geographic Catchment Areas for Solid Organ Transplant Centers
*Purpose: While measurement of transplant center performance has traditionally begun at listing, there is a significant population of potential candidates who may benefit from transplant…2019 American Transplant Congress
Using Transplant Referral Regions to Measure Access to Kidney Transplant
*Purpose: The transplant community has advocated to emphasize pre-transplant quality metrics to promote access to kidney transplantation (KT). Measuring access to transplant requires a well-defined,…2019 American Transplant Congress
Tacrolimus Concentrations Can Be Reliably Measured in Capillary Microsamples
Oslo University Hospital, Rikshospitalet, Oslo, Norway
*Purpose: Routine therapeutic drug monitoring (TDM) of tacrolimus (Tac) is currently performed in venous bloods samples drawn at the hospital. The novel volumetric absorptive microsampling…2019 American Transplant Congress
Proteomics Reveals Molecular Window and Metabolism of Normothermically Perfused Human Kidneys
*Purpose: We have shown that 24h normothermic kidney perfusion (NKP) with urine recirculation (URC) is superior to non URC for maintaining homeostasis previously. However, the…2019 American Transplant Congress
Modeling Patients as Dynamical Systems: Evaluating the Efficiency of Kidney Transplantation through Multi-Stage Data Envelopment Analysis
*Purpose: The occurrence of kidney graft loss is determined by a large set of variables interacting across the different stages of the transplantation process. This…2019 American Transplant Congress
Interpretable Post-Transplant Graft Failure Prediction Using Decision Tree Neural Networks
*Purpose: Various predictive models identify kidney transplant (KTx) recipients at high risk of graft failure (GF), but comparisons across statistical approaches for a full range…2019 American Transplant Congress
Predicting Post Liver Transplant 30-Day Readmission Using Deep Neural Network Model
*Purpose: Liver transplantation (LT) is a complex, expensive process and requires multidisciplinary care. A significant portion of the estimated $735,000 LT cost can be attributed…2018 American Transplant Congress
Multidisciplinary Approach to Prevention of Cytomegalovirus (CMV) Complications in Kidney and Liver Transplant Recipients
Background: CMV infection can be prevented in most SOT recipients providing that a prevention protocol is followed. We discovered that our center's protocol, which includes…
American Transplant Congress abstracts