Prediction score | Sensitivity (%) | Specificity (%) |
---|
= 0 | 100 | 0 |
>  0 | 86.3 | 21.8 |
>  0.5 | 54.8 | 66.4 |
>  1 | 28.8 | 90.8 |
>  1.5 | 23.3 | 95.6 |
>  2 | 17.1 | 98.3 |
>  2.5 | 11.6 | 98.7 |
- Area under ROC curve: 0.64; 95% confidence interval: 0.59–0.69
- The best score cut-off value is > 0.5. A score > 0.5 had the best capacity to identify patients who did not reach inactive disease