N Jamshidian Tehrani, B Geramizadeh, S A Malekhosseini, S Nikeghbalian, A Bahador, S Gholami, G A Raees Jalali, J Roozbeh, M H Anbardar, N Soleimani, N Rasaei, S Mohammadzadeh
{"title":"肾移植中的虚拟交叉匹配,设拉子基于web程序开发的经验。","authors":"N Jamshidian Tehrani, B Geramizadeh, S A Malekhosseini, S Nikeghbalian, A Bahador, S Gholami, G A Raees Jalali, J Roozbeh, M H Anbardar, N Soleimani, N Rasaei, S Mohammadzadeh","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":14242,"journal":{"name":"International Journal of Organ Transplantation Medicine","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717962/pdf/ijotm-12-20.pdf","citationCount":"0","resultStr":"{\"title\":\"Virtual Crossmatching in Kidney Transplantation, Shiraz Experience in Development of a Web-Based Program.\",\"authors\":\"N Jamshidian Tehrani, B Geramizadeh, S A Malekhosseini, S Nikeghbalian, A Bahador, S Gholami, G A Raees Jalali, J Roozbeh, M H Anbardar, N Soleimani, N Rasaei, S Mohammadzadeh\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Kidney transplantation can increase survival and quality of life in patients with end-stage renal disease. 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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.</p><p><strong>Conclusion: </strong>In conclusion, a web-based VXM program that assesses HLA data can accurately perform a VXM with fewer human errors. 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Virtual Crossmatching in Kidney Transplantation, Shiraz Experience in Development of a Web-Based Program.
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.
期刊介绍:
The International Journal of Organ Transplantation Medicine (IJOTM) is a quarterly peer-reviewed English-language journal that publishes high-quality basic sciences and clinical research on transplantation. The scope of the journal includes organ and tissue donation, procurement and preservation; surgical techniques, innovations, and novelties in all aspects of transplantation; genomics and immunobiology; immunosuppressive drugs and pharmacology relevant to transplantation; graft survival and prevention of graft dysfunction and failure; clinical trials and population analyses in the field of transplantation; transplant complications; cell and tissue transplantation; infection; post-transplant malignancies; sociological and ethical issues and xenotransplantation.