Literature DB >> 18946342

Tailoring antibody testing and how to use it in the calculated panel reactive antibody era: the Northwestern University experience.

Anat R Tambur1, Joseph Leventhal, Dixon B Kaufman, John Friedewald, Joshua Miller, Michael M Abecassis.   

Abstract

BACKGROUND: Patients with human leukocyte antigen antibodies constitute a significantly disadvantaged population among those awaiting renal transplantation. We speculated that more understanding of the patients' antibody makeup would allow a more "immunologic" evaluation of crossmatch data, facilitate the use of virtual crossmatch (XM), and lead to more transplantability of these patients.
METHODS: We retrospectively compared the transplantability and transplant outcome of two consecutive patient populations transplanted in our center. Group I (n=374) was evaluated using solid-phase base testing for determination of percentage panel reactive antibody ("PRA screen") with limited antibody identification testing. Group II (n=333) was tested in a more comprehensive manner with major emphasis on antibody identification, antibody strength assignment, and the use of pronase for crossmatch.
RESULTS: Given this approach, 49% (166/333) of the transplanted patients in group II were sensitized compared with 40% (150/374) of the recipients in group I; P=0.012. Transplant outcome at 1-year posttransplant was similar in both groups.
CONCLUSIONS: We conclude that comprehensive evaluation of human leukocyte antigen sensitization and application of immunologic in analyzing compatibility between donor and recipient can increase the transplantability of sensitized patients while maintaining similar outcome. Our approach is in line with United Network for Organ Sharing new guidelines for calculated panel reactive antibody and virtual XM analysis. We hope this report will prompt additional transplant programs to consider how they will use the new United Network for Organ Sharing algorithms.

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Year:  2008        PMID: 18946342      PMCID: PMC4094141          DOI: 10.1097/TP.0b013e3181874b06

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  18 in total

1.  Pre-transplant assessment of donor-reactive, HLA-specific antibodies in renal transplantation: contraindication vs. risk.

Authors:  Howard M Gebel; Robert A Bray; Peter Nickerson
Journal:  Am J Transplant       Date:  2003-12       Impact factor: 8.086

2.  The flow cytometric crossmatch. Dual-color analysis of T cell and B cell reactivities.

Authors:  R A Bray; L K Lebeck; H M Gebel
Journal:  Transplantation       Date:  1989-11       Impact factor: 4.939

3.  Alloantibodies and the outcome of cadaver kidney allografts.

Authors:  Elena Rodica Vasilescu; Eric K Ho; Adriana I Colovai; George Vlad; Aurica Foca-Rodi; Glen S Markowitz; Vivette D'Agati; Mark A Hardy; Lloyd E Ratner; Nicole Suciu-Foca
Journal:  Hum Immunol       Date:  2006-05-23       Impact factor: 2.850

4.  Transplanting the highly sensitized patient: The emory algorithm.

Authors:  R A Bray; J D L Nolen; C Larsen; T Pearson; K A Newell; K Kokko; A Guasch; P Tso; J B Mendel; H M Gebel
Journal:  Am J Transplant       Date:  2006-08-25       Impact factor: 8.086

5.  Calculation of a predictive value for transplantation.

Authors:  A A Zachary; W E Braun
Journal:  Transplantation       Date:  1985-03       Impact factor: 4.939

6.  Flow cytometric crossmatching in primary renal transplant recipients with a negative anti-human globulin enhanced cytotoxicity crossmatch.

Authors:  Martin Karpinski; David Rush; John Jeffery; Markus Exner; Heinz Regele; Silvia Dancea; Denise Pochinco; Patricia Birk; Peter Nickerson
Journal:  J Am Soc Nephrol       Date:  2001-12       Impact factor: 10.121

7.  Utility of HLAMatchmaker and single-antigen HLA-antibody detection beads for identification of acceptable mismatches in highly sensitized patients awaiting kidney transplantation.

Authors:  Reyna S Goodman; Craig J Taylor; Cheryl M O'Rourke; Andrew Lynch; J Andrew Bradley; Tim Key
Journal:  Transplantation       Date:  2006-05-15       Impact factor: 4.939

8.  Pretransplant risk assessment in renal allograft recipients using virtual crossmatching.

Authors:  D Bielmann; G Hönger; D Lutz; M J Mihatsch; J Steiger; S Schaub
Journal:  Am J Transplant       Date:  2007-03       Impact factor: 8.086

9.  Humoral immune reactivity against human leukocyte antigen (HLA)-DQ graft molecules in the early posttransplantation period.

Authors:  Aliki G Iniotaki-Theodoraki; John N Boletis; George Ch Trigas; Helen G Kalogeropoulou; Alkiviadis G Kostakis; Catherine G Stavropoulos-Giokas
Journal:  Transplantation       Date:  2003-05-15       Impact factor: 4.939

10.  Prediction of crossmatch outcome of highly sensitized patients by single and/or multiple antigen bead luminex assay.

Authors:  Smita Vaidya; David Partlow; Brian Susskind; Maryam Noor; Titus Barnes; Kristine Gugliuzza
Journal:  Transplantation       Date:  2006-12-15       Impact factor: 4.939

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  3 in total

1.  Perception versus reality?: Virtual crossmatch--how to overcome some of the technical and logistic limitations.

Authors:  A R Tambur; D S Ramon; D B Kaufman; J Friedewald; X Luo; B Ho; A Skaro; J Caicedo; D Ladner; T Baker; J Fryer; L Gallon; J Miller; M M Abecassis; J Leventhal
Journal:  Am J Transplant       Date:  2009-06-26       Impact factor: 8.086

2.  High-Throughput Sequencing of Complementarity Determining Region 3 in the Heavy Chain of B-Cell Receptor in Renal Transplant Recipients: A Preliminary Report.

Authors:  Tsai-Hung Wu; Hsien-Tzung Liao; Tzu-Hao Li; Hung-Cheng Tsai; Niang-Cheng Lin; Cheng-Yen Chen; Shih-Feng Tsai; Tzu-Hao Huang; Chang-Youh Tsai; Chia-Li Yu
Journal:  J Clin Med       Date:  2022-05-25       Impact factor: 4.964

Review 3.  Human leukocyte antigen typing and crossmatch: A comprehensive review.

Authors:  Mohammed Mahdi Althaf; Mohsen El Kossi; Jon Kim Jin; Ajay Sharma; Ahmed Mostafa Halawa
Journal:  World J Transplant       Date:  2017-12-24
  3 in total

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