Articles tagged "Prediction models"

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
A. Santos, E. Bueno, M. A. Leghrouz
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
N. L. Wood¹, D. B. Mogul², E. K. Hsu³, E. R. Perito⁴, G. V. Mazariegos⁵, D. Vanderwerken¹, D. L. Segev², S. Gentry¹
¹US Naval Academy, Annapolis, MD, ²Johns Hopkins, Baltimore, MD, ³Univ of Washington, Seattle, WA, ⁴UCSF, San Francisco, CA, ⁵Univ of Pittsburgh, Pittsburgh, PA
*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
L. Chau, K. Delvecchio, A. Mohamed, M. Lu, T. Kitajima, S. Yedulla, K. Collins, M. Rizzari, A. Yoshida, M. Abouljoud, S. Nagai
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
M. Raynaud¹, O. Aubert¹, S. Jordan², M. Stegall³, J. Friedewald⁴, D. Glotz¹, C. Legendre¹, D. Segev⁵, C. Lefaucheur¹, A. Loupy, On behalf of the study NCT03474003¹
¹Paris Transplant Group, Paris, France, ²Cedars Sinai, Los Angeles, CA, ³Mayo Clinic, Rochester, MN, ⁴Northwestern University, Chicago, IL, ⁵Johns Hopkins, Baltimore, MD
*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
C. Martinez, A. Placona
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
L. G. Hidalgo¹, I. A. Martinez Juarez², L. Morales-Buenrostro³, S. Shojai⁴, P. Campbell⁴
¹Surgery, University of Wisconsin - Madison, Madison, WI, ²Nephrology, Hospital Angeles Pedregal, Mexico City, Mexico, ³Nephrology, Instituto Nacional de Ciencias Medicas y Nutricion, Mexico City, Mexico, ⁴Medicine, University of Alberta, Edmonton, AB, Canada
*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
R. A. Choudhury¹, D. Yoeli¹, H. B. Moore¹, H. Yaffe¹, G. Hoeltzel², K. R. Dumon³, N. N. Williams³, P. L. Abt⁴, 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, ³University of Pennsylvania Hospital, Philadelphia, PA, ⁴Department of Surgery- Division of Transplantation Surgery, University of Pennsylvania Hospital, Philadelphia, PA
*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
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…

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