Table 5.
Performance of predictive model without BMD according to age
| Cutoff | Sensitivity | Specificity | AUC | PPV | NPV | LR + | LR- | |
|---|---|---|---|---|---|---|---|---|
| Model 2 (without BMD) | ||||||||
| Age < 65 + HHL > 1.5 | 3 | 41% | 87% | 0.64 | 28% | 92% | 3.15 | 0.68 |
| Age > 65 + HHL > 1.5 | 7 | 51% | 81% | 0.66 | 52% | 80% | 2.65 | 0.61 |
| Age 65–70 + HHL > 1.5 | 7 | 32% | 81% | 0.57 | 42% | 74% | 1.74 | 0.83 |
| Age 71–75 + HHL > 1.5 | 7 | 51% | 79% | 0.65 | 62% | 71% | 2.43 | 0.62 |
| Age 76–80 + HHL > 1.5 | 7 | 49% | 73% | 0.61 | 58% | 65% | 1.80 | 0.70 |
| Age > 80 + HHL > 1.5 | 7 | 68% | 79% | 0.74 | 56% | 78% | 3.30 | 0.40 |
Cutoff value was calculated from sum of individual risk scores in Table 3 and according to original values reported for other models
AUC area under the curve, PPV positive predictive value, NPV negative predictive value, LR + positive likelihood ratio, LR- negative likelihood ratio