Literature DB >> 28052605

OPTN/SRTR 2015 Annual Data Report: Early effects of the new kidney allocation system.

A Hart1,2, S K Gustafson2, M A Skeans2, P Stock3, D Stewart4,5, B L Kasiske1,2, A K Israni1,2,6.   

Abstract

In December 2014, a new kidney allocation system (KAS) was implemented in the United States in an attempt to improve access to transplant for historically underrepresented groups, and to incorporate longevity matching such that donor kidneys with the longest projected graft survival are given to recipients with the longest projected patient survival. The development of organ allocation policies is often guided by simulated allocation models, computer programs that simulate the arrival of donated organs and new candidates on the waiting list over a 1-year period to project outcomes under a new allocation method. We examined the early outcomes under the new KAS using quarterly data beginning in 2013, revealing whether trends were already underway before implementation. Quarterly data also serve to reveal any bolus effect, or a rapid rise or fall in the proportion of transplants in a given group due to reordering of the list, followed by tapering toward a new steady state. Post-KAS changes were notable for an increase in the proportion of transplants among younger candidates, black and Hispanic candidates, highly sensitized candidates, and those on dialysis for at least 5 years. Transplants among blood type B candidates increased slightly but these candidates remain underrepresented relative to their prevalence on the waiting list. Regional and national sharing increased under the new KAS, but transplants of kidneys with a kidney donor profile index above 85% decreased. Early graft survival appears unchanged, but given the increases in regional sharing, cold ischemia time, and transplants among highly sensitized candidates and candidates with long pretransplant dialysis time, long-term graft survival will need to monitored. .

Entities:  

Mesh:

Year:  2017        PMID: 28052605      PMCID: PMC5523515          DOI: 10.1111/ajt.14132

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  13 in total

1.  The scenario of delayed graft function in Brazil.

Authors:  Tainá Veras de Sandes-Freitas
Journal:  J Bras Nefrol       Date:  2019-02-25

2.  Awareness of Racial Disparities in Kidney Transplantation among Health Care Providers in Dialysis Facilities.

Authors:  Joyce J Kim; Mohua Basu; Laura Plantinga; Stephen O Pastan; Sumit Mohan; Kayla Smith; Taylor Melanson; Cam Escoffery; Rachel E Patzer
Journal:  Clin J Am Soc Nephrol       Date:  2018-04-12       Impact factor: 8.237

3.  Perspectives on donor lung allocation from both sides of the Atlantic: The United States.

Authors:  Wayne M Tsuang; Laurie D Snyder; Marie M Budev
Journal:  Clin Transplant       Date:  2020-05-06       Impact factor: 2.863

4.  Impact of the new kidney allocation system A2/A2B → B policy on access to transplantation among minority candidates.

Authors:  Paulo N Martins; Margaux N Mustian; Paul A MacLennan; Jorge A Ortiz; Mohamed Akoad; Juan Carlos Caicedo; Gabriel J Echeverri; Stephen H Gray; Reynold I Lopez-Soler; Ganesh Gunasekaran; Beau Kelly; Constance M Mobley; Sylvester M Black; Carlos Esquivel; Jayme E Locke
Journal:  Am J Transplant       Date:  2018-03-31       Impact factor: 8.086

Review 5.  Heterogeneity of memory B cells.

Authors:  Anita S Chong; M Javeed Ansari
Journal:  Am J Transplant       Date:  2018-02-13       Impact factor: 8.086

6.  Racial Disparities in Pediatric Kidney Transplantation under the New Kidney Allocation System in the United States.

Authors:  Jill Krissberg; Matthew Kaufmann; Anshal Gupta; Eran Bendavid; Margaret Stedman; Xingxing Cheng; Jane Tan; Paul Grimm; Abanti Chaudhuri
Journal:  Clin J Am Soc Nephrol       Date:  2021-10-20       Impact factor: 8.237

7.  R Open Source Programming Code for Calculation of the Kidney Donor Profile Index and Kidney Donor Risk Index.

Authors:  Boris Bikbov
Journal:  Kidney Dis (Basel)       Date:  2018-09-05

8.  Transition probabilities between changing sensitization levels, waitlist activity status and competing-risk kidney transplant outcomes using multi-state modeling.

Authors:  Sanjay Kulkarni; Isaac Hall; Richard Formica; Carrie Thiessen; Darren Stewart; Geliang Gan; Erich Greene; Yanhong Deng
Journal:  PLoS One       Date:  2017-12-29       Impact factor: 3.240

9.  Burden of excess mortality after implementation of the new kidney allocation system may be borne disproportionately by middle-aged recipients.

Authors:  Catherine R Butler; James D Perkins; Christopher K Johnson; Christopher D Blosser; Ramasamy Bakthavatsalam; Nicolae Leca; Lena Sibulesky
Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

10.  An opt-out model for kidney transplant referral: The time has come.

Authors:  Anne M Huml; John R Sedor; Emilio Poggio; Rachel E Patzer; Jesse D Schold
Journal:  Am J Transplant       Date:  2020-07-05       Impact factor: 8.086

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