Algorithm to Quantify the Low and High Resolution HLA Matching in Renal Transplantation

G. Muthu, S. Mitra
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Abstract

HLA matching is conventionally assessed by counting the number of MisMatches (MM) in the class I antigens and class II antigens of the donor and recipient. There is an overlap of matching scores in the MM scoring method. A numerical method has already been developed to quantify the degree of HLA matching in Low Resolution HLA matching. This study has been done to formulate an algorithm for High resolution HLA matching, with a parameter named as HLA Matching (HM) score. Mathematically, 4096 discrete values of HM score existing between 0 and 1 are obtained in 3 loci comparison for renal transplantation. Each value of HM score is unique for every possible matching combination. Donor with the highest percent HM score is considered as the best HLA matched donor. This method overcomes all the disadvantages of the conventional MM scoring method. This algorithm is useful in the donor or recipient selection and the graft survival studies.
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肾移植中低分辨率和高分辨率HLA匹配的量化算法
HLA匹配通常是通过计算供体和受体的I类抗原和II类抗原的错配数(MM)来评估的。在MM评分方法中,匹配分数存在重叠。在低分辨率HLA匹配中,已经发展了一种量化HLA匹配程度的数值方法。本研究制定了一种高分辨率HLA匹配算法,参数为HLA匹配(HM)分数。在数学上,肾移植的3个位点比较得到HM评分存在于0 ~ 1之间的离散值4096个。HM分数的每一个值对于每一个可能的匹配组合都是唯一的。HM分数最高的供者被认为是HLA匹配最好的供者。该方法克服了传统MM评分方法的所有缺点。该算法可用于供体或受体的选择和移植物存活研究。
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