Table 2 Diagnostic models from the logistic regression and the ROC analysis results.
Diagnosis models | AUC | SEa | 95% CIb | YouDen index J | Sensitivity | Specificity | |
|---|---|---|---|---|---|---|---|
P1 | (p1) = −12.17–3.79*log(4-hydroxyproline) | 0.857 | 0.0373 | 0.771 to 0.920 | 0.592 | 57.69 | 88.73 |
P2 | (p2) = 5.27–2.97* log(4-hydroxyproline) +5.35*log(3-hydroxyisovalerate) | 0.905 | 0.0296 | 0.829 to 0.955 | 0.716 | 69.23 | 91.55 |
P3 | (p3) = −4.02–3.72* log(4-hydroxyproline) +5.81*log(3-hydroxyisovalerate) −2.36*log(citraconate) | 0.927 | 0.0257 | 0.856 to 0.970 | 0.725 | 80.77 | 90.14 |
P4 | (p4) = −12.22–3.46* log(4-hydroxyproline) +6.62*log(3-hydroxyisovalerate) −2.44*log(citraconate) −3.80*log(pyruvate) | 0.937 | 0.0227 | 0.868 to 0.976 | 0.754 | 69.23 | 92.69 |