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尸体肾分配程序的计算机分析。

Computer analysis of cadaver kidney allocation procedures.

作者信息

Wujciak T, Opelz G

机构信息

Department of Transplantation Immunology, University of Heidelberg, Germany.

出版信息

Transplantation. 1993 Mar;55(3):516-21.

PMID:8456470
Abstract

Data of 32,000 donors were utilized for a computer simulation to analyze the effect of selection parameters on the outcome of kidney transplants. If the HLA match grade is considered for organ allocation, the overall 1-year graft survival rate is up to 7% higher for first cadaver transplants and up to 12% higher for second transplants than if HLA matching is disregarded. This solely success-oriented organ allocation method, however, leads to prolonged waiting times for patients with rare HLA phenotypes. We developed a selection procedure that yields results near the theoretical optimum: 95% of all patients can be transplanted with 0-2 HLA-A, -B, -DR antigen mismatches, the average waiting time decreases to 20 months, and no patient needs to wait longer for a transplant than 6 years. The overall graft survival rate is only 0.4% lower than the rate obtainable with strictly HLA-oriented allocation. The method prevents "poorly matchable" patients from accumulating on the waiting list. Additionally, the unfavorable race ratio in the North American recipient pool can be largely normalized.

摘要

利用32000名捐赠者的数据进行计算机模拟,以分析选择参数对肾移植结果的影响。如果在器官分配中考虑HLA匹配等级,那么与不考虑HLA匹配相比,首次尸体肾移植的总体1年移植物存活率可提高多达7%,二次移植则可提高多达12%。然而,这种完全以成功为导向的器官分配方法会导致具有罕见HLA表型的患者等待时间延长。我们开发了一种选择程序,其结果接近理论最优值:所有患者中有95%能够接受HLA - A、- B、- DR抗原错配为0至2个的移植,平均等待时间降至20个月,且没有患者需要等待超过6年才能进行移植。总体移植物存活率仅比严格按照HLA进行分配时可获得的存活率低0.4%。该方法可防止“难以匹配”的患者在等待名单上累积。此外,北美受者群体中不利的种族比例在很大程度上可实现正常化。

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