Table 5.
Sensitivity, specificity, predictive values, and likelihood ratios of models according to optimal cutoff for the diagnosis of CR in the derivation group
| Optimal cutoff point | ||||||
|---|---|---|---|---|---|---|
| Sen | Spe | PPV | NPV | +LR | −LR | |
| New index | 96% | 76% | 71% | 97% | 3.9 | 0.05 |
| Kidney volume change | 72% | 80% | 69% | 83% | 3.7 | 0.35 |
| RTm | 80% | 61% | 56% | 83% | 2.1 | 0.33 |
| eGFR | 64% | 71% | 57% | 76% | 2.2 | 0.51 |
The optimal cutoff points of the new index, kidney volume change (rate), RTm and eGFR are 0.37, 4.0%, 12.7 and 30.0, respectively, based on the best Youden index in our study.