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A database application for donor-recipient HLA match used in kidney transplantation

机译:肾移植中使用的供体受体HLA匹配的数据库应用

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The outcome of kidney transplants from unrelated live donors or from cadaver kidneys have been reported to be strongly influenced by HLA compatibility. Due to the difficulty of allocation of kidneys for identical HLA match, to increase patients' chances of receiving transplants, consequently, matching has been proposed of deduced amino acid residues of the individual HLA molecules shared by cross-reactive antigen groups(CREGs). Currently many hospitals in China use serological method for HLA typing, some of them use DNA based technology for HLA typing. But most hospitals in China perform HLA matching manually. We have developed a database application system with a program which can quickly find the most suitable individuals in need of kidney transplants from the waiting list for an available donor. Besides 0-3 mismatch of HLA-A,B, and DR, the program works with a criteria of CREGs and permissible HLA-DR mismatch. We noticed some different definitions of CREGs in the literatures and some divergence of views about permissible mismatch concept, it is also our goal to evaluate above criteria with statistical clinical results. Our system also covers virtually all aspects to meet the requirements of most hospitals' urological departments. Its features include patient information management, various statistical reports, and so on. Currently it is in use at two famous hospitals in China.
机译:据报道,来自无关的活体供体或尸体肾脏的肾脏移植的结果受到HLA兼容性的强烈影响。由于肾脏分配相同的HLA匹配,增加患者接受移植物的机会,因此已经提出了由交叉反应性抗原基团(Cregs)共享的单个HLA分子的推导氨基酸残基。目前在中国的许多医院使用血清学方法进行HLA打字,其中一些是使用基于DNA的技术为HLA打字。但中国的大多数医院手动执行HLA匹配。我们开发了一个具有程序的数据库应用系统,该程序可以快速找到需要从可用捐赠者的等待名单中获得肾移植的最合适的个体。除了0-3的HLA-A,B和DR不匹配外,该程序还适用于Cregs的标准和允许的HLA-DR不匹配。我们注意到在文献中的压缩术中的一些不同定义以及关于允许的不匹配概念的一些观点的分歧,这也是我们对统计临床结果评估高于标准的目标。我们的系统几乎涵盖了所有方面,以满足大多数医院的泌尿外科部门的要求。其功能包括患者信息管理,各种统计报告等。目前它正在中国两家着名医院使用。

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