Peräsaari J P, Jaatinen T, Merenmies J
Histocompatibility Testing Laboratory, Finnish Red Cross Blood Service, Helsinki, Finland.
Histocompatibility Testing Laboratory, Finnish Red Cross Blood Service, Helsinki, Finland.
Transpl Immunol. 2018 Feb;46:23-28. doi: 10.1016/j.trim.2017.11.002. Epub 2017 Nov 20.
The virtual crossmatch, which is based on single antigen bead technology, is used in the prediction of crossmatch results. However, this assay differs in sensitivity and specificity from crossmatch methods. In our study, the results of physical crossmatches, performed with three different methods, were assessed against virtual crossmatch results. The aim was to determine the potential cut-off values for donor specific antibodies (DSA) that would predict the crossmatch results obtained by different methods. The results of different crossmatch techniques were correlated with the virtual crossmatch. The receiver operating characteristic (ROC) analysis revealed the Flow cytometric crossmatch (FCXM) and Luminex crossmatch (LXM) to be the most accurate, with area under curve (AUC) values of 0.861 and 0.805, respectively. While we found that the virtual crossmatch correlated well with all the crossmatch results, FCXM produced the best results (83% of the DSA detected). LXM outperformed the other tests in terms of the accuracy in separating class II DSA.
基于单抗原珠技术的虚拟交叉配型用于预测交叉配型结果。然而，该检测方法在敏感性和特异性方面与交叉配型方法有所不同。在我们的研究中，采用三种不同方法进行的实际交叉配型结果与虚拟交叉配型结果进行了评估。目的是确定供体特异性抗体（DSA）的潜在临界值，以预测通过不同方法获得的交叉配型结果。不同交叉配型技术的结果与虚拟交叉配型相关。受试者工作特征（ROC）分析显示，流式细胞术交叉配型（FCXM）和Luminex交叉配型（LXM）最为准确，曲线下面积（AUC）值分别为0.861和0.805。虽然我们发现虚拟交叉配型与所有交叉配型结果相关性良好，但FCXM产生的结果最佳（检测到83%的DSA）。在分离II类DSA的准确性方面，LXM优于其他检测方法。
