Table 1.
Cut-point | Sensitivity | Specificity | AuROC | PPV | NPV | |||||
---|---|---|---|---|---|---|---|---|---|---|
<0.5 | ||||||||||
Estimate | 17.3% | 98.8% | 0.58 | 72.7% | 86.5% | |||||
95% CI | 11.4% | 24.6% | 97.7% | 99.4% | 0.55 | 0.61 | 54.5% | 86.7% | 84.0% | 88.7% |
<0.1 | ||||||||||
Estimate | 50.4% | 94.4% | 0.72 | 62.5% | 91.1% | |||||
95% CI | 41.8% | 58.9% | 92.5% | 95.9% | 0.68 | 0.77 | 52.9% | 71.5% | 88.8% | 93.0% |
<0.2 | ||||||||||
Estimate | 78.4% | 80.5% | 0.80 | 42.9% | 95.2% | |||||
95% CI | 70.6% | 84.9% | 77.5% | 83.3% | 0.76 | 0.83 | 36.7% | 49.2% | 93.3% | 96.8% |
<3 | ||||||||||
Estimate | 97.1% | 46.2% | 0.72 | 25.2% | 98.9% | |||||
95% CI | 92.8% | 99.2% | 42.5% | 49.8% | 0.69 | 0.74 | 21.6% | 29.1% | 97.1% | 99.7% |
AuROC area under the area the receiver operator curve, PPV positive predictive value, NPV negative predictive value