Articles tagged "Prediction models"

2020 American Transplant Congress
Timing of Bariatric Surgery for Obese Kidney Transplant Candidates
R. A. Choudhury¹, D. Yoeli¹, G. Hoeltzel², H. B. Moore¹, H. Yaffe¹, K. R. Dumon³, N. N. Williams³, P. L. Abt⁴, K. D. Conzen¹, T. Pshak¹, P. T. Kennealey¹, T. L. Nydam¹
¹Department of Surgery- Division of Transplantation Surgery, University of Colorado Hospital, Aurora, CO, ²Thomas Jefferson University Hospital, Philadelphia, PA, ³Department of Surgery, University of Pennsylvania Hospital, Philadelphia, PA, ⁴Department of Surgery- Division of Transplantation Surgery, University of Pennsylvania Hospital, Philadelphia, PA
*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
F. Santos-Arteaga¹, D. Di Caprio², D. Cucchiari³, J. M. Campistol³, F. Oppenheimer³, F. Diekmann³, I. Revuelta³
¹Faculty of Economics and Management, Free University of Bolzano, Bolzano, Italy, ²Department of Economics and Management, University of Trento, Trento, Italy, ³Renal Transplant Unit, Department of Nephrology and Kidney Transplant, Hospital Clinic, Barcelona, Spain
*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
J. Clement
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…
2020 American Transplant Congress
Bariatric Surgery for Congestive Heart Failure Patients Improves Access to Transplantation and Long-Term Survival
R. A. Choudhury¹, G. Hoeltzel², H. B. Moore¹, H. Yaffe¹, D. Yoeli¹, K. R. Dumon³, K. D. Conzen¹, T. L. Nydam¹
¹Department of Surgery- Division of Transplantation Surgery, University of Colorado Hospital, Aurora, CO, ²Thomas Jefferson University Hospital, Philadelphia, PA, ³Department of Surgery, University of Colorado Hospital, Philadelphia, PA
*Purpose: Obese patients with congestive heart failure (CHF) are often denied access to heart transplantation until they obtain significant weight loss to achieve a certain…
2020 American Transplant Congress
Using Artificial Intelligence Tools for Identification of High Risk Transplant Recipients for Focused Management
M. A. Schnitzler¹, C. Dagli², C. Canfield², N. Dzebisashvili³, C. Varma¹, D. Axelrod⁴, K. Lentine¹, R. Ouseph¹, H. Randall¹
¹Saint Louis University, St. Louis, MO, ²Missouri S&T, Rolla, MO, ³CareDx, Brisbane, CA, ⁴University of Iowa, Iowa City, IA
*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
S. Jordan¹, P. Sood², J. Bromberg³, D. Brennan⁴
¹Cedars-Sinai, Los Angeles, CA, ²University of Pittsburgh Medical Center, Pittsburgh, PA, ³University of Maryland, Baltimore, MD, ⁴The Johns Hopkins Hospital, Baltimore, MD
*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
K. Ryland¹, J. Mallea², J. Moriarty³, L. White⁴, B. Borah⁵, J. Naessens³
¹Transplantation, Mayo Clinic, Jacksonville, FL, ²Medicine, Mayo Clinic, Jacksonville, FL, ³Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, ⁴Health Sciences Research, Mayo Clinic, Jacksonville, FL, ⁵Health Sciences Research, Mayo Clinic, Rochester, MN
*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
W. Gwinner, M. Gietzelt, R. Hanna, A. A. Khalifa, M. Hallensleben, M. Marschollek, H. Haller, J. H. Braesen, I. Scheffner
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
T. Pruett¹, P. Martin², D. Gupta³
¹University of Minnesota, Minneapolis, MN, ²University of Texas, Austin, TX, ³McCombs School of Business, University of Texas, Austin, TX
*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
K. S. Parker¹, B. Derstine², J. Sullivan², S. Wang², A. Mazurek¹, D. Cron¹, S. Waits¹
¹Department of Surgery, University of Michigan, Ann Arbor, MI, ²Morphomic Analysis Group, University of Michigan, Ann Arbor, MI
*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…

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