Virtual Crossmatching in Kidney Transplantation, Shiraz Experience in Development of a Web-Based Program

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
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 webbased 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

Language:
English
Published:
International Journal of Organ Transplantation Medicine, Volume:12 Issue: 2, Spring 2021
Pages:
20 to 25
https://www.magiran.com/p2311508