2020 American Transplant Congress
Predictive Validity of Functional Status on Mortality in Adult Kidney Transplant Recipients
*Purpose: Frailty and disabilities, though not routinely measured, are highly prevalent in kidney transplant (KT) recipients and predict poor post-transplant outcomes. The Karnofsky Performance Scale…2020 American Transplant Congress
Artificial Intelligence May Predicts Early Sepsis in Liver Transplantation
*Purpose: Sepsis post liver transplantation is a frequent challenge impacting patient outcomes. We aimed to develop an artificial intelligence method to predict earlier the onset…2019 American Transplant Congress
The Economic Burden of Graft Failure in the United States
*Purpose: Despite recent advances, graft failure imposes a substantial burden on kidney transplant recipients. This study is the first to quantify this burden in economic…2019 American Transplant Congress
Don’t Believe the Hype: Machine Learning-Based Prediction of Kidney Transplant Outcomes
Johns Hopkins University, Baltimore, MD
*Purpose: Machine learning (ML) algorithms may better predict kidney transplant (KT) outcomes at the expense of model interpretability and hypothesis testing. We aimed to compare…2019 American Transplant Congress
The End of Non-Directed Living Kidney Donation: The National Kidney Registry’s Family Voucher Program
*Purpose: The continued growth of the National Kidney Registry’s (NKR) Voucher program has extended Kidney Paired Donation (KPD) to include chronological incompatibility which is facilitating…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
Surgical Management Of Five Hundred Patients With Chronic Gut Failure At A Single Center: Autologous Reconstruction Versus Transplantation
Cleveland Clinic, Cleveland, OH
*Purpose: To define the evolving role of autologous gut reconstruction (AGR) in the management of total parenteral nutrition (TPN)-dependent-chronic gut failure (CGF) patients with special…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
Can Cardiac Risk Predictor Models Be Trusted in Kidney Transplant Recipients?
*Purpose: Kidney transplant recipients (KTR) bear a higher risk of developing cardiovascular disease due to comorbid conditions. Non-invasive cardiovascular risk stratification tools have not been…2019 American Transplant Congress
Early Readmission After Renal Transplant As A Valuable Quality Measure
1Surgery, Rhode Island Hospital, Providence, RI, 2Nephrology, Rhode Island Hospital, Providence, RI
*Purpose: Patient and graft survival have been criticized as imprecise measures of transplant program quality. Thirty-day (30d) readmission rates, available nationally and attainable locally, may…
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