Literature DB >> 12211787

Crossmatch tests--an analysis of UNOS data from 1991-2000.

Y W Cho, J M Cecka.   

Abstract

Based on more than 20,000 cadaver donor transplants reported to UNOS between 1991-2000 with crossmatch results, the following observations were made: 1. One-hundred sixty-nine transplants performed despite a positive T-cell NIH crossmatch (usually with an historical serum sample) were reported to UNOS and had 5%, 6%, 7%, and 11% lower graft survival at one, 6, 12, and 24 months after transplantation compared with negative crossmatch transplants, respectively. 2. Transplants with a positive T-cell FCXM (n = 714) yielded 4%, 7%, and 9% lower graft survival at one, 6, and 12 months after transplantation compared with negative crossmatch transplants, respectively. 3. Transplants with a positive B-cell crossmatch using NIH, Wash, AHG or flow cytometry XM yielded statistically significantly lower (4-6%) graft survival rates compared with B-cell negative crossmatch transplants. 4. The differences in graft survival rates comparing recipients with a positive versus a negative T-cell crossmatch test (NIH, AHG, and FCXM) were significant in univariate analyses; however, only the NIH and FCXM showed a significant effect on graft survival after adjustment of other factors in a multivariate analysis. 5. Regrafted patients with a positive T- and B-cell FCXM experienced a higher incidence of primary nonfunction (12%) compared with those who had a negative T- and B-cell FCXM (1%; P < 0.001). Flow cytometric or ELISA screening of patient sera in addition to conventional cytotoxic crossmatch tests can provide additional information to aid in the final decision of renal transplantation.

Entities:  

Mesh:

Year:  2001        PMID: 12211787

Source DB:  PubMed          Journal:  Clin Transpl        ISSN: 0890-9016


  4 in total

1.  Revisiting traditional risk factors for rejection and graft loss after kidney transplantation.

Authors:  T B Dunn; H Noreen; K Gillingham; D Maurer; O G Ozturk; T L Pruett; R A Bray; H M Gebel; A J Matas
Journal:  Am J Transplant       Date:  2011-08-03       Impact factor: 8.086

2.  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

3.  Preexisting donor-specific HLA antibodies predict outcome in kidney transplantation.

Authors:  Carmen Lefaucheur; Alexandre Loupy; Gary S Hill; Joao Andrade; Dominique Nochy; Corinne Antoine; Chantal Gautreau; Dominique Charron; Denis Glotz; Caroline Suberbielle-Boissel
Journal:  J Am Soc Nephrol       Date:  2010-07-15       Impact factor: 10.121

4.  Crossmatch testing in kidney transplantation: patterns of practice and associations with rejection and graft survival.

Authors:  Paolo R Salvalaggio; Ralph J Graff; Brett Pinsky; Mark A Schnitzler; Steven K Takemoto; Thomas E Burroughs; Luiz S Santos; Krista L Lentine
Journal:  Saudi J Kidney Dis Transpl       Date:  2009-07
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.