Articles tagged "Prediction models"

2021 American Transplant Congress
Incidence and Risk Factors for Nonmelanoma Skin Cancer in Lung Transplant Recipients
G. Holdren¹, E. Lushin¹, M. Duncan², C. Hage²
¹Pharmacy, Indiana University Health, Indianapolis, IN, ²Pulmonary Critical Care, Indiana University Health, Indianapolis, IN
*Purpose: The purpose of this study is to identify the incidence of nonmelanoma skin cancer (NMSC) post lung transplantation and to examine the relationship between…
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.…
2021 American Transplant Congress
Growth Differentiation Factor 15 Predictor Value is Superior to Troponin I in the Evaluation of Kidney Transplant Candidates
M. de Cos Gomez¹, M. Garcia Unzueta², A. Benito Hernandez¹, J. Mazon Ruiz¹, M. Perez Arnedo¹, A. Aguilera Fernandez¹, R. Valero San Cecilio¹, J. Ruiz San Millan¹, E. Rodrigo Calabia¹
¹Nephrology, Marques de Valdecilla University Hospital - IDIVAL, Santander, Spain, ²Clinical Analysis, Marques de Valdecilla University Hospital - IDIVAL, Santander, Spain
*Purpose: Pretransplant cardiac troponin I (cTNI) has demonstrated its predictor value of survival after kidney transplant in previous studies. Growth differentiation factor 15 (GDF-15) is…
2021 American Transplant Congress
Accounting for Survivor Bias in Transplant Benefit Models
E. M. Schnellinger¹, E. Cantu², M. O. Harhay¹, D. E. Schaubel¹, S. E. Kimmel¹, A. J. Stephens-Shields¹
¹Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, ²Department of Surgery, Division of Cardiovascular Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA
*Purpose: The lung allocation system in the U.S. prioritizes lung transplant candidates based on estimated pre- and post-transplant survival. However, these models do not account…
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…
2021 American Transplant Congress
The Initial Impact of Covid-19 on Reported Graft Failure Rates and Potential Confounding of Srtr Psrs
A. Wey¹, J. Miller¹, D. Musgrove¹, Y. Ahn¹, M. Valapour², N. Salkowski¹, M. Skeans¹, A. Massie³, R. Hirose⁴, D. Segev³, A. Israni¹, J. Snyder¹, B. Kasiske¹
¹SRTR, Minneapolis, MN, ²Cleveland Clinic, Cleveland, OH, ³Johns Hopkins, Baltimore, MD, ⁴Univ of California, San Francisco, San Francisco, CA
*Purpose: COVID-19 could bias the Scientific Registry of Transplant Recipients (SRTR) program-specific reports (PSRs), especially if its impact varied geographically.*Methods: Recipients who received transplants from…