Literature DB >> 18631872

Matching graft to recipient by predicted survival: can this be an acceptable strategy to improve utilization of deceased donor kidneys?

Edwina S Baskin-Bey1, Scott L Nyberg.   

Abstract

A new kidney allocation scheme is needed to address the current shortage of deceased donor kidneys for transplantation in the United States. With this goal in mind, we have derived a novel utility-based system to balance supply and demand. Our system uses a North American-based recipient risk score and the deceased donor score to maximize the total number of years of renal allograft function as a means to improve allocation of kidneys from deceased donors. Essentially, donor renal allografts are matched to a wait-listed candidate with similar predicted survival, which poses an ethical issue. However, this novel utility-based system is practical and could improve deceased donor renal allocation by minimizing both waste and need for retransplantation.

Entities:  

Mesh:

Year:  2008        PMID: 18631872     DOI: 10.1016/j.trre.2008.02.005

Source DB:  PubMed          Journal:  Transplant Rev (Orlando)        ISSN: 0955-470X            Impact factor:   3.943


  5 in total

1.  Allocation of renal grafts to older recipients does not result in loss of functioning graft-years.

Authors:  D Vrochides; M Hassanain; P Metrakos; J Tchervenkov; P Chaudhury; G Chan; S Paraskevas
Journal:  Hippokratia       Date:  2011-04       Impact factor: 0.471

2.  Israeli Medical Experts' Knowledge, Attitudes, and Preferences in Allocating Donor Organs for Transplantation.

Authors:  Amir Elalouf
Journal:  Int J Environ Res Public Health       Date:  2022-06-06       Impact factor: 4.614

3.  Ranking patients on the kidney transplant waiting list based on fuzzy inference system.

Authors:  Nasrin Taherkhani; Mohammad Mehdi Sepehri; Roghaye Khasha; Shadi Shafaghi
Journal:  BMC Nephrol       Date:  2022-01-15       Impact factor: 2.388

4.  Expression of decoy receptor 3 in kidneys is associated with allograft survival after kidney transplant rejection.

Authors:  Shuo-Chun Weng; Kuo-Hsiung Shu; Ming-Ju Wu; Mei-Chin Wen; Shie-Liang Hsieh; Nien-Jung Chen; Der-Cherng Tarng
Journal:  Sci Rep       Date:  2015-09-03       Impact factor: 4.379

5.  Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method.

Authors:  Nasrin Taherkhani; Mohammad Mehdi Sepehri; Shadi Shafaghi; Toktam Khatibi
Journal:  BMC Med Inform Decis Mak       Date:  2019-09-06       Impact factor: 2.796

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.