Articles tagged "Prediction models"

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…
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…

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