Literature DB >> 24612783

Impact of HLA mismatch at first kidney transplant on lifetime with graft function in young recipients.

B J Foster1, M Dahhou, X Zhang, R W Platt, J M Smith, J A Hanley.   

Abstract

As HLA matching has been progressively de-emphasized in the American deceased donor (DD) kidney allocation algorithm, concerns have been raised that poor matching at first transplant may lead to greater sensitization and more difficulty finding an acceptable donor for a second transplant should the first transplant fail. We compared proportion of total observed lifetime with graft function after first transplant, and waiting times for a second transplant between individuals with different levels of HLA mismatch (MM) at first transplant. We studied patients recorded in the United States Renal Data System (1988-2009) who received a first DD transplant at age ≤21 years (n = 8433), and the subgroup who were listed for a second DD transplant following first graft failure (n = 2498). Compared with recipients of 2-3 MM first grafts, 4-6 MM graft recipients spent 12% less of their time and 0-1 MM recipients 15% more time with a functioning graft after the first transplant (both p < 0.0001); 4-6 MM recipients were significantly less likely (hazard ratio [HR] 0.87 [95% confidence interval 0.76, 0.98]; p = 0.03), and 0-1 MM recipients more likely (HR 1.26 [0.99, 1.60]; p = 0.06) to receive a second transplant after listing. The benefits of better HLA matching at first transplant on lifetime with graft function are significant, but relatively small. © Copyright 2014 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Adolescence; HLA matching; graft survival; kidney allocation; kidney graft function; pediatric kidney transplantation; waiting time

Mesh:

Substances:

Year:  2014        PMID: 24612783     DOI: 10.1111/ajt.12643

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


  12 in total

1.  Temporal Changes in the Impact of HLA Mismatching Among Pediatric Kidney Transplant Recipients.

Authors:  Jessica M Ruck; Annette M Jackson; Allan B Massie; Dorry L Segev; Niraj Desai; Jacqueline Garonzik-Wang
Journal:  Transplantation       Date:  2019-06       Impact factor: 4.939

2.  A Kidney Graft Survival Calculator that Accounts for Mismatches in Age, Sex, HLA, and Body Size.

Authors:  Valarie B Ashby; Alan B Leichtman; Michael A Rees; Peter X-K Song; Mathieu Bray; Wen Wang; John D Kalbfleisch
Journal:  Clin J Am Soc Nephrol       Date:  2017-06-08       Impact factor: 8.237

Review 3.  Renal transplantation in infants.

Authors:  Hannu Jalanko; Ilkka Mattila; Christer Holmberg
Journal:  Pediatr Nephrol       Date:  2015-06-27       Impact factor: 3.714

4.  Choosing the order of deceased donor and living donor kidney transplantation in pediatric recipients: a Markov decision process model.

Authors:  Kyle J Van Arendonk; Eric K H Chow; Nathan T James; Babak J Orandi; Trevor A Ellison; Jodi M Smith; Paul M Colombani; And Dorry L Segev
Journal:  Transplantation       Date:  2015-02       Impact factor: 4.939

Review 5.  HLA epitope matching in pediatric renal transplantation.

Authors:  Matthew P Sypek; Peter Hughes; Joshua Y Kausman
Journal:  Pediatr Nephrol       Date:  2016-12-19       Impact factor: 3.714

Review 6.  Application and interpretation of histocompatibility data in pediatric kidney transplantation.

Authors:  Hilda E Fernandez
Journal:  Curr Opin Organ Transplant       Date:  2017-08       Impact factor: 2.640

7.  Impact of delayed graft function on clinical outcomes in highly sensitized patients after deceased-donor kidney transplantation.

Authors:  Seong Gyu Kim; Suyeon Hong; Hanbi Lee; Sang Hun Eum; Young Soo Kim; Kyubok Jin; Seungyeop Han; Chul Woo Yang; Woo Yeong Park; Byung Ha Chung
Journal:  Korean J Transplant       Date:  2021-09-30

Review 8.  Pediatric Kidney Transplantation-Can We Do Better? The Promise and Limitations of Epitope/Eplet Matching.

Authors:  Olga Charnaya; Daniella Levy Erez; Sandra Amaral; Dimitrios S Monos
Journal:  Front Pediatr       Date:  2022-06-03       Impact factor: 3.569

9.  Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering.

Authors:  Charat Thongprayoon; Caroline C Jadlowiec; Wisit Kaewput; Pradeep Vaitla; Shennen A Mao; Michael A Mao; Napat Leeaphorn; Fawad Qureshi; Pattharawin Pattharanitima; Fahad Qureshi; Prakrati C Acharya; Pitchaphon Nissaisorakarn; Matthew Cooper; Wisit Cheungpasitporn
Journal:  J Pers Med       Date:  2022-05-25

10.  A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk.

Authors:  Corey Brennan; Syed Ali Husain; Kristen L King; Demetra Tsapepas; Lloyd E Ratner; Zhezhen Jin; Jesse D Schold; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2019-10-17       Impact factor: 8.237

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