A novel approach reveals that HLA class 1 single antigen bead-signatures provide a means of high-accuracy pre-transplant risk assessment of acute cellular rejection in renal transplantation.

Remarkably, a support-vector machine-based multiparameter classificator built on these data achieved highly significant prediction performance with a balanced accuracy of 82.7% (Sens. = 76.5%, Spec. = 88.9%, p = 0.002, Fig. 1 a and Table 2 ).

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There was a near-significant difference in cold ischemia time with longer times being observed for the ACR group (739 ± 295 vs. 637 ± 302; P = 0.06; Mann-Whitney U test).

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