Articles tagged "Prediction models"

2021 American Transplant Congress
Transplant Data Platform – An Augmented Clinical Intelligence Framework
C. Focht, W. Tian, J. Zeng, N. Dzebisashvili, S. Ghosh
CareDx, Brisbane, CA
*Purpose: UNOS, SRTR, USRDS registries are rich in patient baseline data. However, all suffer from data attrition as patients move further out post-transplant or between…
2021 American Transplant Congress
Construction of a Waiting Time Predictive Model for Kidney Transplant with Deceased Donor in the State of São Paulo
J. Silva¹, M. Contti¹, M. Valiatti¹, H. Nga¹, G. Santos¹, M. Perosa², G. Ferreira³, L. Modelli de Andrade¹
¹UNESP, Botucatu, Brazil, ²Hospital Leforte, São Paulo, Brazil, ³Santa Casa de Juiz de Fora, Juiz de Fora, Brazil
*Purpose: Chronic kidney disease is an important public health problem and kidney transplant is the therapy of choice when possible. The transplant system in the…
2021 American Transplant Congress
Offer Acceptance Models for Various Endpoints: Initial Response, Final Response, and Conversion from Provisional Yes to Yes
C. Martinez, M. Stuart, A. Placona
United Network for Organ Sharing, Richmond, VA
*Purpose: Offer acceptance models are routinely used for program evaluation and academic research, but the focus tends to be on modelling the final offer response.…
2020 American Transplant Congress
Machine Learning to Predict Deceased Donor Liver Biopsy Results
C. Martinez, A. Placona
United Network for Organ Sharing, Richmond, VA
*Purpose: Biopsies are often cited as a key factor on whether to accept a deceased liver offer. Motivated by the influential role of biopsy findings…
2020 American Transplant Congress
Marijuana Use Among Liver Transplant Recipients
K. G. Yan, L. Forman
Internal Medicine, University of Colorado School of Medicine, Aurora, CO
*Purpose: The effect of marijuana (MJ) use on liver transplant (LTx) outcomes is unclear. We aimed to investigate the prevalence of MJ and cannabidiol (CBD)…
2020 American Transplant Congress
Timing of Bariatric Surgery for Obese Liver Transplant Candidates
R. A. Choudhury¹, D. Yoeli², G. Hoeltzel³, H. B. Moore², H. Yaffe², K. R. Dumon⁴, N. N. Williams⁴, P. L. Abt⁵, K. D. Conzen², J. J. Pomposelli², E. A. Pomfret², T. L. Nydam²
¹Department of Surgery- Division of Transplantation Surgery, University of Colorado Hospital, Denver, CO, ²Department of Surgery- Division of Transplantation Surgery, University of Colorado Hospital, Aurora, CO, ³Thomas Jefferson University Hospital, Philadelphia, PA, ⁴Department of Surgery, University of Pennsylvania Hospital, Philadelphia, PA, ⁵Department of Surgery- Division of Transplantation Surgery, University of Pennsylvania Hospital, Philadelphia, PA
*Purpose: The timing of bariatric surgery for obese liver transplant candidates remains controversial. Surgery prior to transplant may improves one’s chance of receiving a transplant,…
2020 American Transplant Congress
Donor-Derived Cell-Free DNA Combined with Histology Improves Prediction of eGFR Decline in Kidney Transplant Recipients over Histology Alone
M. Gillespie, M. Haas, K. Lim, A. Vo, A. Peng, R. Najjar, S. Sethi, S. Jordan, E. Huang
Cedars-Sinai, Los Angeles, CA
*Purpose: Higher Banff inflammation and chronicity scores on kidney transplant (KTx) biopsies (Bx) have been associated with poorer graft survival, but Bx scores alone imperfectly…
2020 American Transplant Congress
Discovery and Validation of a Urinary Exosome mRNA Signature for the Diagnosis of Human Kidney Transplant Rejection
R. El Fekih¹, A. Alghamdi¹, J. Hurley², C. Coticchia², J. Choi¹, H. Allos¹, S. Eskandari¹, S. Bentink², V. Tadigotla², L. Riella¹, J. Markmann³, K. Safa³, R. Formica⁴, J. Skog², J. Azzi¹
¹Medecine, Brigham and Women's Hospital, Boston, MA, ²Exosome Diagnostics Inc., Waltham, MA, ³Massachusetts General Hospital, Boston, MA, ⁴Yale School of Medecine, New Haven, CT
*Purpose: Monitoring kidney transplant rejection by repeated biopsies might result in increased procedural complications and cost. Exosomes are nanometer-sized vesicles released by cells carrying trans…
2020 American Transplant Congress
Novel micro-RNA and Microbiome Signature Profiles as Biomarkers for Predicting the Risk of Autoimmune Type 1 Diabetes Development
P. Chhabra¹, G. Ricardo¹, A. Spano², V. Mas¹, M. Timko², K. Brayman¹
¹Dept of Surgery, University of Virginia Health System, Charlottesville, VA, ²Dept of Biology, University of Virginia Health System, Charlottesville, VA
*Purpose: To identify reliable microRNA (miRNA) and microbiome biomarkers for predicting risk of autoimmune beta-cell destruction in type 1 diabetes (T1D) and to investigate alterations…
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…

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