Table 4.
Parameter | Optimal Cutoff (%) |
Sensitivity (%) (95% CI) |
Specificity (%) (95% CI) |
AUC1 (95% CI) |
---|---|---|---|---|
%SER_washout | −60 | 91 (62 - 99) |
65 (41 - 83) |
0.752 (0.55 - 0.91) |
%kep, TK | −5 | 100 (74 - 100) |
59 (36 - 78) |
0.782 (0.60 - 0.94) |
%kep, ETK | −19 | 91 (62 - 99) |
65 (41 - 83) |
0.762 (0.57 - 0.92) |
%kep, FXR | −20 | 82 (52 - 95) |
59 (36 - 78) |
0.73 (0.55 - 0.91) |
Lower limits for AUC that exclude 0.5 indicate the accuracy of the parameter exceeds what would be expected by chance alone.
These parameters retain statistical significance following a Bonferroni correction that protects the overall type I error inference for AUC at 5%.