Table 5.
Comparison of discriminant and reclassification ability of clinical models.
| Prediction model | AUC (95% CI) | P value | IDI | P value | NRI | P value |
|---|---|---|---|---|---|---|
| Clinical model 1 | 0.69 (0.60–0.78) | Reference | Reference | |||
| Clinical model 2: model1 + FFR | 0.69 (0.59–0.78) | 0.81 | 0.0013 | 0.66 | 0.0655 | 0.72 |
| Clinical model 3: model 2 + mean PCATA | 0.79 (0.70–0.87) | 0.015 | 0.0936 | < 0.001 | 0.4604 | 0.003 |
| Clinical model 2: model1 + FFR | 0.69 (0.59–0.78) | Reference | Reference | |||
| Clinical model 3: model 2 + mean PCATA | 0.79 (0.70–0.87) | 0.015 | 0.0923 | < 0.001 | 0.5307 | 0.003 |
To determine incremental discriminatory and reclassification capacities of mean PCATCA for predicting g-CFR < 2.0
Clinical model 1: age, male sex, DM, creatinine, cTnI at presentation, log (NT-proBNP), LV mass index, target lesion: LAD, Area at risk.