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

Figure 4.

Figure 4

ROC curve analysis for discrimination between subclinical rejectors (SCRs) and non-rejectors. The ROC curve analysis for discrimination between patients with SCR and non-rejectors for each miRNA was evaluated. (A) Pre-transplantation miR-155-5p capacity to discriminate between SCR and non-rejectors: AUC = 0.942 (95% CI = 0.886–0.999) and cut-off value = 0.06 (100% sensitivity, 75.3% specificity, PPV = 57% and NPV = 100%); (B) pre-transplantation miR-181a-5p capacity to discriminate between SCR and non-rejectors: AUC = 0.826 (95% CI = 0.640–1.000) and cut-off value = 0.457 (80% sensitivity, 87.7% specificity, PPV = 53% and NPV = 100%); (C–F) post-transplantation miRNA capacity to discriminate between SCR and non-rejectors: (B) miR-155-5p AUC = 0.977 (95% CI = 0.962–0.991) and cut-off value = 0.255 (93.3% sensitivity, 90% specificity, PPV = 89% and NPV = 100%); (C) miR-122-5p: AUC = 0.921 (95% CI = 0.874–0.967) and cut-off value = 2.726 (84% sensitivity, 80% specificity, PPV = 75% and NPV = 90%); (D) miR-181a-5p: AUC = 0.949 (95% CI = 0.910–0.988) and cut-off value = 0.587 (91% sensitivity, 80% specificity, PPV = 91% and NPV = 90%); (E) miR-148-3p: AUC = 0.592 (95% CI = 0.505–0.678).