Literature DB >> 21332582

Risk stratification by the virtual crossmatch: a prospective study in 233 renal transplantations.

Patrizia Amico1, Patricia Hirt-Minkowski, Gideon Hönger, Lorenz Gürke, Michael J Mihatsch, Jürg Steiger, Helmut Hopfer, Stefan Schaub.   

Abstract

The virtual crossmatch (virtual-XM) has been proposed for accurate identification of donor-specific HLA-antibodies, but large prospective studies assessing its value for pretransplant risk stratification are lacking. A total of 233 consecutive renal allograft recipients were prospectively stratified according to the virtual-XM. In patients with a negative virtual-XM (n=190, 82%), prospective cytotoxicity crossmatches (CDC-XM) were omitted, and they received standard immunosuppression. Virtual-XM positive patients were only transplanted if CDC-XM were negative. They received additional induction with anti-T-lymphocyte-globulin and intravenous immunoglobulins (n=43, 18%). The cumulative incidence of clinical/subclinical antibody-mediated rejection (AMR) at 1 year was lower in the negative virtual-XM than in the positive virtual-XM group [15/190 (8%) vs. 18/43 (42%); P<0.0001]. After a median follow-up of 2.6 years, allograft loss because of AMR occurred less often in the negative virtual-XM group (1% vs. 7%; P=0.04) and death-censored allograft survival at 2 years was higher (98% vs. 91%; P=0.02). Serum creatinine was not different at the last follow-up (129 μm vs. 130 μm; P=0.58). We conclude that a negative virtual-XM defines patients at low risk for AMR and early allograft loss, while a positive virtual-XM represents a significant risk for AMR despite enhanced induction therapy. This supports the utility of the virtual-XM for risk stratification and treatment allocation.
© 2011 The Authors. Transplant International © 2011 European Society for Organ Transplantation.

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Year:  2011        PMID: 21332582     DOI: 10.1111/j.1432-2277.2011.01235.x

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  15 in total

1.  The Art of Compromise in Transfusion/Transplantation Medicine (and Some Parallels in Classical Literature).

Authors:  Andreas Sputtek; Thomas H Eiermann
Journal:  Transfus Med Hemother       Date:  2013-06       Impact factor: 3.747

Review 2.  Antibody-mediated rejection across solid organ transplants: manifestations, mechanisms, and therapies.

Authors:  Nicole M Valenzuela; Elaine F Reed
Journal:  J Clin Invest       Date:  2017-06-12       Impact factor: 14.808

Review 3.  The Complement System and Antibody-Mediated Transplant Rejection.

Authors:  Erik Stites; Moglie Le Quintrec; Joshua M Thurman
Journal:  J Immunol       Date:  2015-12-15       Impact factor: 5.422

Review 4.  Human Leukocyte Antigen Sensitization in Solid Organ Transplantation: A Primer on Terminology, Testing, and Clinical Significance for the Apheresis Practitioner.

Authors:  Sarah Abbes; Ara Metjian; Alice Gray; Tereza Martinu; Laurie Snyder; Dong-Feng Chen; Matthew Ellis; Gowthami M Arepally; Oluwatoyosi Onwuemene
Journal:  Ther Apher Dial       Date:  2017-09-07       Impact factor: 1.762

5.  Pretransplant Kinetics of Anti-HLA Antibodies in Patients on the Waiting List for Kidney Transplantation.

Authors:  Matteo Togninalli; Daisuke Yoneoka; Antonios G A Kolios; Karsten Borgwardt; Jakob Nilsson
Journal:  J Am Soc Nephrol       Date:  2019-10-25       Impact factor: 10.121

6.  Acute Rejection Phenotypes in the Current Era of Immunosuppression: A Single-Center Analysis.

Authors:  Caroline Wehmeier; Patrizia Amico; Patricia Hirt-Minkowski; Argyrios Georgalis; Gideon Höenger; Thomas Menter; Michael Mihatsch; Felix Burkhalter; Juerg Steiger; Michael Dickenmann; Helmut Hopfer; Stefan Schaub
Journal:  Transplant Direct       Date:  2017-02-09

Review 7.  Not All Antibodies Are Created Equal: Factors That Influence Antibody Mediated Rejection.

Authors:  Carrie L Butler; Nicole M Valenzuela; Kimberly A Thomas; Elaine F Reed
Journal:  J Immunol Res       Date:  2017-03-08       Impact factor: 4.818

8.  Prediction of Long-term Renal Allograft Outcome By Early Urinary CXCL10 Chemokine Levels.

Authors:  Patricia Hirt-Minkowski; Julie Ho; Ang Gao; Patrizia Amico; Michael T Koller; Helmut Hopfer; David N Rush; Peter W Nickerson; Stefan Schaub
Journal:  Transplant Direct       Date:  2015-09-24

9.  Detecting Renal Allograft Inflammation Using Quantitative Urine Metabolomics and CXCL10.

Authors:  Julie Ho; Atul Sharma; Rupasri Mandal; David S Wishart; Chris Wiebe; Leroy Storsley; Martin Karpinski; Ian W Gibson; Peter W Nickerson; David N Rush
Journal:  Transplant Direct       Date:  2016-05-19

10.  Impact of Preformed Donor-Specific Anti-Human Leukocyte Antigen Antibody C1q-Binding Ability on Kidney Allograft Outcome.

Authors:  Juan Molina; Ana Navas; María-Luisa Agüera; Cristian Rodelo-Haad; Corona Alonso; Alberto Rodríguez-Benot; Pedro Aljama; Rafael Solana
Journal:  Front Immunol       Date:  2017-10-31       Impact factor: 7.561

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