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Virtual Crossmatching in Kidney Transplantation, Shiraz Experience in Development of a Web-Based Program
N Jamshidian Tehrani1, B Geramizadeh1, S A Malekhosseini1
1Shiraz Transplant Center, Abu-Ali Sina Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
International Journal of Organ Transplantation Medicine
|January 6, 2022
Summary
A new web-based program significantly speeds up virtual crossmatches (VXM) for kidney transplant candidates by reducing processing time and minimizing human errors in HLA antibody analysis, especially for highly sensitized patients.
Area of Science:
- Immunogenetics
- Transplantation Immunology
- Medical Informatics
Background:
- Kidney transplantation improves survival for end-stage renal disease patients.
- Donor-recipient compatibility is critical and assessed via crossmatch testing.
- Human Leukocyte Antigen (HLA) antibody analysis is key for compatibility.
Purpose of the Study:
- To evaluate a web-based program for capturing HLA antibody data.
- To assess the program's efficiency and accuracy in performing virtual crossmatches (VXM).
- To compare automated VXM with manual VXM by immunologists.
Main Methods:
- 100 potential kidney transplant recipients with complete HLA antibody profiles were selected.
- 10 potential donors with available HLA typing (A, B, DR) were included.
- Virtual crossmatching was performed using both the web-based program and manual review.
Main Results:
- The web-based program completed VXM in 5 minutes per patient, versus 30 minutes manually.
- Manual VXM required secondary review in 12% of cases for improved accuracy.
- Manual VXM had errors in 2 cases, potentially impacting transplant decisions.
Conclusions:
- The web-based VXM program accurately performs virtual crossmatches with reduced human error.
- Automated VXM is particularly beneficial for highly sensitized kidney transplant candidates.
- This technology enhances the efficiency and reliability of donor-recipient matching.
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