Literature DB >> 33940109

Trends and impact on cold ischemia time and clinical outcomes using virtual crossmatch for deceased donor kidney transplantation in the United States.

Chethan M Puttarajappa1, Dana Jorgensen2, Jonathan G Yabes3, Kwonho Jeong3, Adriana Zeevi4, John Lunz5, Amit D Tevar2, Michele Molinari2, Sumit Mohan6, Sundaram Hariharan7.   

Abstract

For assessing human leukocyte antigen compatibility in deceased donor kidney transplantation, virtual crossmatch is used as an alternative to physical crossmatch and has potential to reduce cold ischemia time. The 2014 United States kidney allocation system prioritized highly sensitized candidates but led to increased shipping of kidneys. Using data from the Scientific Registry of Transplant Recipients, we evaluated changes in virtual crossmatch use with the new allocation policy and the impact of virtual crossmatch use on cold ischemia time and transplant outcomes. This was a retrospective cohort study of adult deceased donor kidney recipients in the United States (2011-2018) transplanted with either 9,632 virtual or 71,839 physical crossmatches. Before allocation change, only 9% of transplants were performed relying on a virtual crossmatch. After the 2014 allocation change, this increased by 2.4%/year so that 18% transplants in 2018 were performed with just a virtual crossmatch. There was significant variation in virtual crossmatch use among transplant regions (range 0.7-36%) and higher use was noted among large volume centers. Compared to physical crossmatches, virtual crossmatches were significantly associated with shorter cold ischemia times (mean 15.0 vs 16.5 hours) and similar death-censored graft loss and mortality (both hazard ratios HR 0.99) at a median follow-up of 2.9 years. Thus, our results show that virtual crossmatch is an attractive strategy for shortening cold ischemia time without negatively impacting transplant outcomes. Hence, strategies to optimize use and reduce practice variation may allow for maximizing benefits from virtual crossmatch.
Copyright © 2021 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cold ischemia time; kidney allocation system; kidney transplantation; virtual crossmatch

Mesh:

Year:  2021        PMID: 33940109      PMCID: PMC8384718          DOI: 10.1016/j.kint.2021.04.020

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   18.998


  34 in total

Review 1.  The evolution and clinical impact of human leukocyte antigen technology.

Authors:  Howard M Gebel; Robert A Bray
Journal:  Curr Opin Nephrol Hypertens       Date:  2010-11       Impact factor: 2.894

2.  Renal Transplantation With Final Allocation Based on the Virtual Crossmatch.

Authors:  C P Johnson; J J Schiller; Y R Zhu; S Hariharan; A M Roza; D C Cronin; B D Shames; T M Ellis
Journal:  Am J Transplant       Date:  2016-01-22       Impact factor: 8.086

3.  A Virtual Crossmatch-based Strategy Facilitates Sharing of Deceased Donor Kidneys for Highly Sensitized Recipients.

Authors:  Garrett R Roll; Allison B Webber; David H Gae; Zoltan Laszik; Mehdi Tavakol; Luis Mayen; Kelly Cunniffe; Shareef Syed; Ryutaro Hirose; Chris Freise; Sandy Feng; John P Roberts; Nancy L Ascher; Peter G Stock; Raja Rajalingam
Journal:  Transplantation       Date:  2020-06       Impact factor: 4.939

Review 4.  The coordination of allocation: Logistics of kidney organ allocation to highly sensitized patients.

Authors:  John Lunz; Lisa Hinsdale; Casey King; Robin Pastush; Magnolia Buenvenida; Michael Harmon
Journal:  Hum Immunol       Date:  2016-10-12       Impact factor: 2.850

5.  Virtual crossmatching for deceased donor transplantation becomes reality.

Authors:  Frans H J Claas; Sebastiaan Heidt
Journal:  Kidney Int       Date:  2020-04       Impact factor: 10.612

6.  Virtual crossmatching for deceased donor transplantation: one size does not fit all.

Authors:  David F Pinelli; Anat R Tambur
Journal:  Kidney Int       Date:  2020-04       Impact factor: 10.612

7.  Ten-year experience of selective omission of the pretransplant crossmatch test in deceased donor kidney transplantation.

Authors:  Craig J Taylor; Vasilis Kosmoliaptsis; Linda D Sharples; Davide Prezzi; C Helen Morgan; Timothy Key; Afzal N Chaudhry; Irum Amin; Menna R Clatworthy; Andrew J Butler; Christopher J E Watson; J Andrew Bradley
Journal:  Transplantation       Date:  2010-01-27       Impact factor: 4.939

Review 8.  HLA antibody detection with solid phase assays: great expectations or expectations too great?

Authors:  H M Gebel; R A Bray
Journal:  Am J Transplant       Date:  2014-08-01       Impact factor: 8.086

Review 9.  Use of interrupted time series analysis in evaluating health care quality improvements.

Authors:  Robert B Penfold; Fang Zhang
Journal:  Acad Pediatr       Date:  2013 Nov-Dec       Impact factor: 3.107

10.  Each additional hour of cold ischemia time significantly increases the risk of graft failure and mortality following renal transplantation.

Authors:  Agnes Debout; Yohann Foucher; Katy Trébern-Launay; Christophe Legendre; Henri Kreis; Georges Mourad; Valérie Garrigue; Emmanuel Morelon; Fanny Buron; Lionel Rostaing; Nassim Kamar; Michèle Kessler; Marc Ladrière; Alexandra Poignas; Amina Blidi; Jean-Paul Soulillou; Magali Giral; Etienne Dantan
Journal:  Kidney Int       Date:  2014-09-17       Impact factor: 10.612

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  1 in total

Review 1.  Principles of Virtual Crossmatch Testing for Kidney Transplantation.

Authors:  Madhu C Bhaskaran; Sebastiaan Heidt; Thangamani Muthukumar
Journal:  Kidney Int Rep       Date:  2022-03-15
  1 in total

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