Table 5 The sensitivity, specificity, and accuracy of each multivariable logistic model at optimal cutpoints (N = 74)
Predictors | Cutpoint | Sensitivity | Specificity | Accuracy |
|---|---|---|---|---|
Model 1: NOTUM + PAEP + PAPPA + PSG2 | ≥ -0.858 | 96.00% | 93.88% | 94.59% |
Model 2: ISM2 + PAEP + PAPPA + PSG2 | ≥ -0.722 | 96.00% | 91.84% | 93.24% |
Model 3: ISM2 + PAEP + PAPPA + ADAM12 | ≥ -1.16 | 96.00% | 91.84% | 93.24% |
Model 4: NOTUM + PAEP + PAPPA + ADAM12 | ≥ -1.05 | 100.00% | 93.88% | 95.95% |