2020 American Transplant Congress
Patient-Informed Design of an Educational Website on Living Kidney Donation
1Erie County Medical Center, Buffalo, NY, 2University at Buffalo, SUNY, Buffalo, NY
*Purpose: Web-based education may be a powerful tool to support kidney patients’ learning about living kidney donation (LKD); however, websites that are not user-friendly can…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…2019 American Transplant Congress
Liver Waitlist Dropout and Transplant Rates for Metropolitan vs. Non-Metropolitan Candidates
1SRTR, Minneapolis, MN, 2Stanford Univ, Stanford, CA, 3Univ of Minnesota, Minneapolis, MN
*Purpose: Rural candidates may be disadvantaged on the liver waiting list. We evaluated rates and hazards of waitlist dropout and transplant by urbanicity.*Methods: We selected…2019 American Transplant Congress
The C-Statistic Provides No Information on the Accuracy of Program Evaluations or the Presence of Unmeasured Confounders
*Purpose: The C-statistic of risk-adjustment models is regularly used to assess accuracy of program evaluations or determine presence of unmeasured confounding. However, the C-statistic depends…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…
American Transplant Congress abstracts