ROC curve for prognosis score. ROC analysis was used to define cutoff points for predicting poor renal prognosis. The ROC curve was plotted for finding the highest point on the vertical axis and the furthest to the left on the horizontal axis (upper left corner) to determine the most appropriate cutoff value (not shown). Accuracy was measured by the area under the ROC curve; area of 0.794 generally considered to represent a fair test.
| Index | Estimates |
|---|---|
| Sensitivity* | 0.714 |
| Specificity* | 0.859 |
| Likelihood ratio* | |
| Positive test result* | 5.05 |
| Negative test result* | 3.01 |
| Area under the ROC curve | 0.794 |
↵* Given the positivity criteria for the total prognostic score 0.25.