2021 American Transplant Congress
Relationship of Functional Frailty and Radiographic Sarcopenia to Outcomes After Liver Transplant
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
*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
*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…2020 American Transplant Congress
Using Artificial Intelligence Tools for Identification of High Risk Transplant Recipients for Focused Management
*Purpose: Resources for post-transplant patient monitoring are limited. Statistical stratification can facilitate focused attention on highest risk patients. We developed a monitoring tool for graft…2020 American Transplant Congress
The Use of dd-cfDNA as a Predictive Tool for Future Proteinuria
*Purpose: Most allografts with proteinuria >1500 mg/dL have new glomerular pathology. In contrast, lower levels of proteinuria are generally associated with non-glomerular, nonspecific histologic changes.…2020 American Transplant Congress
Anticipated Cost Savings of Using Lungs from Hepatitis C-Positive Lung Donors for Hepatitis C-Negative Recipients
*Purpose: We assessed the cost savings generated by additional organ availability due to utilizing lungs from hepatitis-C infected donors for transplantation in comparison to existing…2020 American Transplant Congress
The 1st Year Posttransplant Course Reliably Predicts Kidney Graft Survival up to 15 Years Using a Machine Learning-Based Modeling Approach
Hannover Medical School, Hannover, Germany
*Purpose: Identification of patients at risk for graft failure can improve individual surveillance and early therapeutic interventions. We used a well-documented patient cohort to establish…2020 American Transplant Congress
A Machine-Learning Approach for Estimating Likelihood of Transplant Benefit from Older-Donor Kidneys
*Purpose: There is a shortage of transplantable kidneys in the US. Yet, the discard rate among older donors (55+) is approx. 38% per year. The…2020 American Transplant Congress
Tacrolimus Concentrations Are Associated with Measures of Body Composition in Adult Kidney Transplant Recipients
*Purpose: Tacrolimus (Tacro) is essential for kidney transplant immunosuppression but has a narrow therapeutic window. Tacro dosing preventing rejection must be balanced with potential delayed…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…
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