scholarly journals Predicting deceased donor kidney transplant outcomes: Comparing KDRI/KDPI with machine learning

2020 ◽  
Author(s):  
Eric Pahl ◽  
Nick Street ◽  
Hans Johnson ◽  
Alan Reed
Keyword(s):  
Machine Learning ◽  
Kidney Transplant ◽  
Deceased Donor ◽  
Donor Kidney ◽  
Transplant Outcomes ◽  
Deceased Donor Kidney ◽  
Deceased Donor Kidney Transplant

Abstract The authors have withdrawn this preprint from Research Square

Cytomegalovirus Serostatus Pairing and Deceased Donor Kidney Transplant Outcomes in Adult Recipients With Antiviral Prophylaxis

2010 ◽  
Vol 90 (10) ◽  
pp. 1091-1098 ◽  
Author(s):  
Hung-Tien Kuo ◽  
Xiaoyi Ye ◽  
Marcelo Santos Sampaio ◽  
Pavani Reddy ◽  
Suphamai Bunnapradist
Keyword(s):  
Kidney Transplant ◽  
Deceased Donor ◽  
Antiviral Prophylaxis ◽  
Donor Kidney ◽  
Transplant Outcomes ◽  
Deceased Donor Kidney ◽  
Deceased Donor Kidney Transplant

scholarly journals Pediatric deceased donor kidney transplant outcomes under the Kidney Allocation System

2019 ◽  
Vol 19 (11) ◽  
pp. 3079-3086 ◽  
Author(s):  
Kyle R. Jackson ◽  
Sheng Zhou ◽  
Jessica Ruck ◽  
Allan B. Massie ◽  
Courtenay Holscher ◽  
...  
Keyword(s):  
Kidney Transplant ◽  
Deceased Donor ◽  
Donor Kidney ◽  
Kidney Allocation ◽  
Allocation System ◽  
Transplant Outcomes ◽  
Deceased Donor Kidney ◽  
Kidney Allocation System ◽  
Deceased Donor Kidney Transplant

Influence of recipient age on deceased donor kidney transplant outcomes in the expanded criteria donor era

2014 ◽  
Vol 28 (12) ◽  
pp. 1372-1382 ◽  
Author(s):  
Yousef Al-Shraideh ◽  
Umar Farooq ◽  
Alan C. Farney ◽  
Amudha Palanisamy ◽  
Jeffrey Rogers ◽  
...  
Keyword(s):  
Kidney Transplant ◽  
Deceased Donor ◽  
Donor Kidney ◽  
Transplant Outcomes ◽  
Expanded Criteria Donor ◽  
Deceased Donor Kidney ◽  
Recipient Age ◽  
Expanded Criteria ◽  
Deceased Donor Kidney Transplant

scholarly journals Predicting deceased donor kidney transplant outcomes: Comparing KDRI/KDPI with machine learning

2019 ◽  
Author(s):  
Eric Pahl ◽  
Nick Street ◽  
Hans Johnson ◽  
Alan Reed
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Kidney Transplant ◽  
Random Forests ◽  
Deceased Donor ◽  
Error Rates ◽  
Donor Kidney ◽  
Deceased Donor Kidney ◽  
Cost Effective Treatment ◽  
Deceased Donor Kidney Transplant

Abstract Background: Kidney transplantation is a cost-effective treatment for end-stage renal failure patients that provides a significant survival benefit and improves their quality of life compared to other forms of renal replacement. The predominant method used for donor kidney quality assessment is the Cox regression-based, piecewise linear kidney donor risk index (KDRI). A machine learning method (random forest) was compared to KDRI for predicting graft failure at 12, 24, and 36 months after transplantation. Methods: Random forest was trained and evaluated with the same deceased donor kidney transplant data (n=70242) initially used to develop KDRI (1995-2005) and included four readily available recipient variables from the estimated post-transplant survival score. Results: When comparing type II error rates of 10%, random forests predicted an additional 2,148 successful grafts at 36 months after transplant (126%) than KDRI. Many high-KDRI kidneys, at risk for discard, were correctly predicted for successful transplantation with random forests. Random forest performed significantly better than KDRI for graft Kaplan-Meier survival analysis from 0-240 months (log-rank test p<0.00). Conclusions: Machine learning methods can provide a significant improvement over KDRI for the assessment of kidney offers. This work lays the foundation for the use of machine learning methodologies in transplantation and describes the steps to measure, analyze, and validate future models.

scholarly journals Paediatric deceased donor kidney transplant in Australia: A 30‐year review—What have paediatric bonuses achieved and where to from here?

2021 ◽  
Author(s):  
Matthew P. Sypek ◽  
Christopher E. Davies ◽  
Amelia K. Le Page ◽  
Philip Clayton ◽  
Peter D. Hughes ◽  
...  
Keyword(s):  
Kidney Transplant ◽  
Deceased Donor ◽  
Donor Kidney ◽  
Deceased Donor Kidney ◽  
Deceased Donor Kidney Transplant

Utility and safety of early allograft biopsy in adult deceased donor kidney transplant recipients

2019 ◽  
Vol 24 (4) ◽  
pp. 356-368 ◽  
Author(s):  
Evaldo Favi ◽  
Ajith James ◽  
Carmelo Puliatti ◽  
Phil Whatling ◽  
Mariano Ferraresso ◽  
...  
Keyword(s):  
Kidney Transplant ◽  
Deceased Donor ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Donor Kidney ◽  
Allograft Biopsy ◽  
Deceased Donor Kidney ◽  
Deceased Donor Kidney Transplant
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