2021 American Transplant Congress
Kidney Donor Risk Index: Significance as a Predictor of Kidney Transplant Outcomes Beyond Allograft Survival, Analysis of 18 Adjusted Regression Models Involving Adult Deceased Donor Kidney Recipients
University of Florida, Gainesville, FL
*Purpose: We aimed to study the role of kidney donor recipient index (KDRI) as a predictor for multiple transplant-related outcomes in adult deceased-donor (DD) kidney…2021 American Transplant Congress
Liver Simulated Allocation Model Does Not Accurately Predict Organ Offer Decisions in Pediatric Liver Transplant Candidates
*Purpose: The U.S. relies on the Scientific Registry of Transplant Recipient’s (SRTR’s) Liver Simulated Allocation Model (LSAM) to predict the effect of allocation policy changes…2021 American Transplant Congress
Developing and Validation of a Liver Transplantation Donation After Cardiac Death Risk Index Using the UNOS Database
Division of Transplant and Hepatobiliary Surgery, Henry Ford Hospital, Detroit, MI
*Purpose: Donation after cardiac death (DCD) liver transplantation is an increasing form of organ donation. Shlegal et. al. identified seven factors predicting 1-year DCD graft…2020 American Transplant Congress
Multidimensional System to Dynamically Predict Graft Survival after Kidney Transplantation
*Purpose: Current prediction systems of kidney-graft loss do not integrate the dynamic effect of parameters assessed over the time course of kidney recipients. Recent dynamic…2020 American Transplant Congress
Machine Learning to Predict Deceased Donor Kidney Biopsy Results
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
*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
*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
*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
*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
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…
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