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. 2019 Apr 24;10:873. doi: 10.3389/fimmu.2019.00873

Figure 2.

Figure 2

ROC curve analysis for discrimination between rejectors (TCMAR) and non-rejectors. ROC curve analysis for discrimination between rejectors (TCMAR) and non-rejectors for each miRNA was evaluated. (A) Pre-transplantation miR-155-5p capacity to discriminate between rejectors and non-rejectors (AUC = 0.921; 95% CI = 0.861–0.981; cut-off value = 0.075 [93% sensitivity, 82% specificity, PPV = 56.6% and NPV = 100%)]; (B–E) Post-transplantation miRNA capacity to discriminate between rejectors and non-rejectors: (B) miRNA-155-5p AUC = 0.940 (95% CI = 0.889–0.992) and cut-off value = 0.463 (91% sensitivity, 95% specificity, PPV = 95% and NPV = 99.8%); (C) miR-122-5p AUC = 0.978 (95% CI = 0.966–0.990) and cut-off value = 4.356 (93% sensitivity, 90% specificity, PPV = 71% and NPV = 98%); (D) miRNA-181a-5p AUC = 0.953 (95% CI = 0.913–0.992) and cut-off value = 0.760 (90% sensitivity, 95% specificity, PPV = 90% and NPV = 97%); (E) miRNA-148-3p AUC = 0.686 (95% CI = 0.612–0.761).