Articles tagged "Prediction models"

2020 American Transplant Congress
The 1st Year Posttransplant Course Reliably Predicts Kidney Graft Survival up to 15 Years Using a Machine Learning-Based Modeling Approach
W. Gwinner, M. Gietzelt, R. Hanna, A. A. Khalifa, M. Hallensleben, M. Marschollek, H. Haller, J. H. Braesen, I. Scheffner
Hannover Medical School, Hannover, Germany
*Purpose: Identification of patients at risk for graft failure can improve individual surveillance and early therapeutic interventions. We used a well-documented patient cohort to establish…
2020 American Transplant Congress
A Machine-Learning Approach for Estimating Likelihood of Transplant Benefit from Older-Donor Kidneys
T. Pruett¹, P. Martin², D. Gupta³
¹University of Minnesota, Minneapolis, MN, ²University of Texas, Austin, TX, ³McCombs School of Business, University of Texas, Austin, TX
*Purpose: There is a shortage of transplantable kidneys in the US. Yet, the discard rate among older donors (55+) is approx. 38% per year. The…
2020 American Transplant Congress
Tacrolimus Concentrations Are Associated with Measures of Body Composition in Adult Kidney Transplant Recipients
K. S. Parker¹, B. Derstine², J. Sullivan², S. Wang², A. Mazurek¹, D. Cron¹, S. Waits¹
¹Department of Surgery, University of Michigan, Ann Arbor, MI, ²Morphomic Analysis Group, University of Michigan, Ann Arbor, MI
*Purpose: Tacrolimus (Tacro) is essential for kidney transplant immunosuppression but has a narrow therapeutic window. Tacro dosing preventing rejection must be balanced with potential delayed…
2020 American Transplant Congress
Predictive Validity of Functional Status on Mortality in Adult Kidney Transplant Recipients
N. Chu, Z. Shi, D. Segev, M. McAdams Demarco
Johns Hopkins, Baltimore, MD
*Purpose: Frailty and disabilities, though not routinely measured, are highly prevalent in kidney transplant (KT) recipients and predict poor post-transplant outcomes. The Karnofsky Performance Scale…
2020 American Transplant Congress
Artificial Intelligence May Predicts Early Sepsis in Liver Transplantation
R. D. Kamaleswaran¹, R. Lowell Davis², J. D. Eason³, S. Sataphaty⁴, V. R. Mas⁵, D. Maluf³
¹Biostatistics, Emory, Atlanta, GA, ²Center for Biomedical Informatics & Division of Critical Care Medicine, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, ³Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, ⁴Sandra Atlas Bass Center for Liver Diseases & Transplantation, Northshore University Hospital/Northwell Health, NSHS, NY, ⁵Biostatistics, Emory, Atlanta, TN
*Purpose: Sepsis post liver transplantation is a frequent challenge impacting patient outcomes. We aimed to develop an artificial intelligence method to predict earlier the onset…
2020 American Transplant Congress
Renal Function Parameters Improve PELDs Prediction of 90-day Death or Deterioration
L. Thalji¹, N. Thalji², D. Haile¹, J. Heimbach², S. Ibrahim³, P. Kamath⁴, D. Kor¹
¹Anesthesiology, Mayo Clinic, Rochester, MN, ²Surgery, Mayo Clinic, Rochester, MN, ³Pediatric Gastroenterology, Mayo Clinic, Rochester, MN, ⁴Gastroenterology, Mayo Clinic, Rochester, MN
*Purpose: Reliance upon exception points to prioritize children for liver transplantation (LT) stems from concerns that the Pediatric End-Stage Liver Disease (PELD) score underestimates mortality.…
2020 American Transplant Congress
Clinical Correlation of Results of s CD4/CD8 Cytomegalovirus Cell Mediated Immunity Test with Incidence of Cytomegalovirus Infection
M. Jorgenson¹, M. Hillis¹, C. Saddler², J. Smith², D. Mandelbrot²
¹UW Health, Madison, WI, ²UWMF, Madison, WI
*Purpose: The purpose of this study was to evaluate the predictive potential of a CD4/CD8 flow cytometric cell mediated immunity (CMI) assay for the development…
2020 American Transplant Congress
Living Kidney Donor Profile Index Used to Assess Donor Risk Factors Affecting the Survival Rate of Transplanted Kidney and Comparison with Kidney Donor Profile Index of Deceased Donor Kidney Transplantation
S. Kang¹, M. Kang², R. Ra¹, J. Kong², J. Kim², H. Hwang², K. Jeong²
¹Kyung-Hee University Hospital, Seoul, Korea, Republic of, ²Nephrology, Kyung-Hee University Hospital, Seoul, Korea, Republic of
*Purpose: Recently, the number of deceased donor kidneys(DDK) has been limited, so living donor kidney transplantation((LDKT) accounts for nearly 40% of kidney transplants worldwide. This…
2020 American Transplant Congress
Assessing Providers’ Accuracy in Predicting Early Readmission after Kidney and Liver Transplantation
K. Maroney, Z. Wang, R. Lynch, A. Adams, R. Patzer, J. Hogan
Emory University, Atlanta, GA
*Purpose: Predictive models capable of identifying patients at risk for readmission are in development. However, it is unknown how accurate clinicians are at predicting early…
2020 American Transplant Congress
Predicting Renal Graft Function Post Transplantation Using Clinical and Biological Features Supported by Machine Learning Algorithms
Y. Gao¹, Y. Cui¹, C. Kuscu², C. Kuscu², L. Gallon³, A. Bajwa², E. Akalin⁴, J. D. Eason², D. Maluf², V. Mas²
¹Department of Genetics, University of Tennessee Health Science Center, Memphis, TN, ²Dept of Surgery, Transplant Research Institute, James D. Eason Transplant Institute, University of Tennessee Health Science Center, Memphis, TN, ³Northwestern University, Chicago, IL, ⁴Albert Einstein Medical College, New York, NY
*Purpose: Predicting renal function post transplantation is a frequent challenge impacting physician decisions and patient quality of life. We aimed to develop a composite score…

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