Articles tagged "Prediction models"

2022 American Transplant Congress
Meld 3.0 for Liver Allocation: Results From the Liver Simulated Allocation Model
A. Kwong¹, T. Weaver², D. Schladt², A. Wey², K. Audette², S. Biggins³, J. Snyder², A. Israni², J. Lake⁴, W. Kim¹
¹Stanford University, Stanford, CA, ²Hennepin Healthcare Research Institute, Minneapolis, MN, ³University of Washington, Seattle, WA, ⁴University of Minnesota, Minneapolis, MN
*Purpose: Priority on the US liver transplant waitlist is determined by the model for end-stage liver disease (MELD), a score composed of serum bilirubin, creatinine,…
2022 American Transplant Congress
Evaluating the Performance and External Validity of Machine Learning-Based Prediction Models in Liver Transplantation: An International Study
T. Ivanics¹, D. So², M. P. Claasen³, D. Wallace⁴, M. Patel⁵, A. Gravely⁶, K. Walker⁷, T. Cowling⁷, L. Erdman⁸, G. Sapisochin³
¹University of Toronto - University Health Network, Toronto, ON, Canada, ²The Centre for Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, ³Multi-organ transplant program, University Health Network, Toronto, ON, Canada, ⁴Department of Health Services Research and policy, London School of Hygiene and Tropical Medicine, London, United Kingdom, ⁵Division of Surgical Transplantation, University of Texas Southwestern Medical Center, Dallas, TX, ⁶Multi-organ transplant program, University of Toronto - University Health Network, Toronto, ON, Canada, ⁷Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom, ⁸The Centre of Computational Medicine, The Hospital for Sick Children, Toronto, ON, Canada
*Purpose: National liver transplant (LT) registries are curated in many countries. We compared data from three national registries and developed machine learning algorithm (MLA)-based models…
2022 American Transplant Congress
Computer vs Human-Based Prediction and Stratification of the Risk of Long-Term Kidney Allograft Failure
G. Divard¹, M. Raynaud¹, V. Tataputii², B. Abdalla³, C. Legendre¹, C. Lefaucheur¹, O. Aubert¹, A. Loupy¹
¹Paris Transplant Group, Paris, France, ²NYU Langone Health, New York, NY, ³UCLA, Los Angeles, CA
*Purpose: Clinical decision-making process after transplantation is mainly driven by patient individual risk of allograft failure prediction assessed by physicians. However, this task remains difficult…
2022 American Transplant Congress
A Hybrid Model Combining Survival Analysis, Knapsack Optimization and Supervised Learning to Extrapolate the Evolution of Kidney Transplantation Patients from Donors with Expanded Criteria After Controlled Circulatory Death
F. Santos Arteaga¹, D. Di Caprio², O. Bestard³, N. Montero⁴, F. Moreso³, M. Crespo⁵, C. Facundo⁶, J. Reinoso-Moreno⁷, D. Cucchiari⁷, B. Bayes⁷, E. Poch⁷, J. M. Campistol⁷, F. Oppenheimer⁷, F. Diekmann⁷, I. Revuelta⁷
¹Faculty of Economics and Management, Universidad Complutense de Madrid, Madrid, Spain, ²Department of Economics and Management, University of Trento, Trento, Italy, ³Department of Nephrology and Kidney Transplant, Hospital Universitari Vall Hebrón, Barcelona, Spain, ⁴Department of Nephrology and Kidney Transplant, Hospital Universitari de Bellvitge, Barcelona, Spain, ⁵Department of Nephrology and Kidney Transplant, Hospital del Mar, Barcelona, Spain, ⁶Department of Nephrology and Kidney Transplant, Fundació Puigvert, Barcelona, Spain, ⁷Department of Nephrology and Kidney Transplant, Hospital Clinic, Barcelona, Spain
*Purpose: Kidney transplantation (KT) with expanded criteria donors (ECD) after controlled circulatory death (cDCD) in high-risk patients is being debated. We categorize patients via a…
2022 American Transplant Congress
Dynamic Risk Prediction of Kidney Graft Failure After Deceased Donor Transplant
D. G. Hu¹, H. Thiessen Philbrook¹, S. Mohan², I. Hall³, M. Doshi⁴, K. F. Kerr⁵, C. R. Parikh¹
¹Johns Hopkins University, Baltimore, MD, ²Columbia University Medical Center, New York, NY, ³University of Utah, Salt Lake City, UT, ⁴University of Michigan, Ann Arbor, MI, ⁵University of Washington, Seattle, WA
*Purpose: Identifying kidney transplant recipients at risk of graft failure allows for early intervention in clinical care. We developed a dynamic risk prediction model based…
2022 American Transplant Congress
Four Separate Frailty Metrics Lack Concordance and Are Non-Reflective of the Kidney Transplant Listing Outcome: A Large Single Center Review
A. Cimeno, G. Lewis, R. Parsons
Transplant Surgery, Emory University Hospital, Atlanta, GA
*Purpose: It is well known that functional status has prognostic value for post-surgical outcomes, however pre-transplant patients are not required to undergo objective frailty testing.…
2022 American Transplant Congress
Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study
F. Qazi Arisar¹, E. Salinas-Miranda², H. Ale Ali², K. Lajkosz³, C. Chen¹, A. Azhie¹, G. M. Healy², D. Deniffel², M. A. Haider², M. Bhat¹
¹Ajmera Transplant Program, University Health Network, Toronto, ON, Canada, ²Lunenfeld Tanenbaum Research Institute, Toronto, ON, Canada, ³Department of Biostatistics, University Health Network, Toronto, ON, Canada
*Purpose: Recurrent fibrosis complicates 40% of Liver transplants (LT), compromising long-term survival. We evaluated the ability of a model combining radiomic features on CT scans…
2022 American Transplant Congress
Factors Predicting Early Extubation After Liver Transplantation
V. Subramanian¹, O. Bishr², J. Buggs¹, N. Kemmer¹, K. Dhanireddy¹
¹Transplant Institute, Tampa General Hospital, Tampa, FL, ²University of South Florida, Tampa, FL
*Purpose: Early extubation (either intraoperative or within 6 hours post operatively) is an important component of enhanced recovery pathways. The goal of the study was…
2022 American Transplant Congress
Non-Invasive Metabolite-Based Urine Signature Detects Over-Immunosuppression in Renal Transplant Recipients
S. Raghavendra Rao¹, C. Honrao¹, L. O. Rodrigues¹, C. Dong¹, K. Sonkar¹, J. Wolf¹, E. M. O'Day¹, D. R. Kuypers²
¹Olaris, Inc., Framingham, MA, ²Department of Nephrology and Renal Transplantation, University Hospitals, Leuven, Belgium
*Purpose: Managing complications related to over-immunosuppression represents a growing challenge in post-transplant care, with infections accounting for the second leading cause of death with functioning…
2022 American Transplant Congress
Clinical Impact of a Modified Lung Allocation Score That Mitigates Selection Bias
E. M. Schnellinger¹, E. Cantu², D. E. Schaubel¹, S. E. Kimmel³, A. J. Stephens-Shields¹
¹University of Pennsylvania, Philadelphia, PA, ²Hospital of the University of Pennsylvania, Philadelphia, PA, ³University of Florida, Gainesville, FL
*Purpose: The U.S. lung allocation system uses the Lung Allocation Score (LAS) to prioritize lung transplant candidates. Selection bias, induced by dependent censoring of waitlisted…

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