Table 5.
ROC curve analysis determining the optimal cutoff values of tested parameters.
| Variables |
Optimal cutoff |
AUC | 95% CI | P |
Sensitivity (%) |
Specificity (%) |
|---|---|---|---|---|---|---|
| RVEF (%) | 39.15 | 0.855 | 0.805–0.905 | <0.001 | 67.2 | 94.3 |
| RVLS (%) | −19.15 | 0.816 | 0.757–0.875 | <0.001 | 90.8 | 64.7 |
| RVEF/PASP | 0.44 | 0.783 | 0.721–0.845 | <0.001 | 70.7 | 72.4 |
| RVAC | 0.74 | 0.743 | 0.676–0.810 | <0.001 | 66.4 | 74.7 |
| TPR | 11.64 | 0.698 | 0.626–0.770 | <0.001 | 78.2 | 56 |
| PAC | 1.18 | 0.676 | 0.603–0.749 | <0.001 | 44.8 | 88.5 |
AUC, Area under the curve; NPV, negative predictive value; PPV, positive predictive value.