BACKGROUND: Kidney transplantation can increase survival and quality of life in patients with end-stage renal disease. In any allocation system, the crossmatch test plays an essential role in donor-recipient compatibility. OBJECTIVE: In this study, we aim to test the benefits of a web-based program that captures HLA antibody analyses and provides a report to allow fast and accurate virtual crossmatches. METHODS: One hundred potential recipients in the waiting list of renal transplants were selected. The included patients all had a complete HLA antibody profile. Also, 10 potential donors from previous kidney transplants (2020), with available HLA typing results for A, B, and DR locus, were also selected. A comparison was made between 100 recipients against ten potential donors, and virtual crossmatching (VXM) was performed by the web-based program and manually by an experienced immunologist. RESULTS: The average time for a manual VXM was 30 minutes per patient, while the virtual cross web-based program took 5 minutes per patient. In 12% of the manual VXM cases, a secondary review of data improved final results. In two manual virtual crossmatches, the VXM results had errors in matching recipient antibodies with the donor HLA typing that could affect the final decision for transplantation. CONCLUSION: In conclusion, a web-based VXM program that assesses HLA data can accurately perform a VXM with fewer human errors. It is especially true for highly sensitized candidates.
BACKGROUND: Kidney transplantation can increase survival and quality of life in patients with end-stage renal disease. In any allocation system, the crossmatch test plays an essential role in donor-recipient compatibility. OBJECTIVE: In this study, we aim to test the benefits of a web-based program that captures HLA antibody analyses and provides a report to allow fast and accurate virtual crossmatches. METHODS: One hundred potential recipients in the waiting list of renal transplants were selected. The included patients all had a complete HLA antibody profile. Also, 10 potential donors from previous kidney transplants (2020), with available HLA typing results for A, B, and DR locus, were also selected. A comparison was made between 100 recipients against ten potential donors, and virtual crossmatching (VXM) was performed by the web-based program and manually by an experienced immunologist. RESULTS: The average time for a manual VXM was 30 minutes per patient, while the virtual cross web-based program took 5 minutes per patient. In 12% of the manual VXM cases, a secondary review of data improved final results. In two manual virtual crossmatches, the VXM results had errors in matching recipient antibodies with the donor HLA typing that could affect the final decision for transplantation. CONCLUSION: In conclusion, a web-based VXM program that assesses HLA data can accurately perform a VXM with fewer human errors. It is especially true for highly sensitized candidates.
Authors: Robert P Milius; Michael Heuer; Daniel Valiga; Kathryn J Doroschak; Caleb J Kennedy; Yung-Tsi Bolon; Joel Schneider; Jane Pollack; Hwa Ran Kim; Nezih Cereb; Jill A Hollenbach; Steven J Mack; Martin Maiers Journal: Hum Immunol Date: 2015-08-28 Impact factor: 2.850
Authors: A S Paramesh; N Neidlinger; M Salvatore; A Smith; A Friedman; W Payne; T Taber; C Wright Journal: Am J Transplant Date: 2017-03-03 Impact factor: 8.086
Authors: Harold C Sullivan; Christina L Dean; Robert S Liwski; Shilpee Biswas; Abigail L Goodman; Scott Krummey; Howard M Gebel; Robert A Bray Journal: Hum Immunol Date: 2018-08-03 Impact factor: 2.850
Authors: Sussie Shrestha; Lisa Bradbury; Matthew Boal; James P Blackmur; Christopher J E Watson; Craig J Taylor; John L R Forsythe; Rachel Johnson; Lorna P Marson Journal: Transplantation Date: 2016-02 Impact factor: 4.939