Table 3. Effect of Variables on Model Prediction Accuracy and Risk Reclassification.
Model | Included Variable | IDI Index (95% CI) | P | Model Prediction (C-Index) |
---|---|---|---|---|
Model A | FRS | - | - | 0.66 |
Model B | FRS + CACS | 0.19 (0.09–0.28) vs. Model A | < 0.001* | 0.72 |
Model C | FRS + stenosis degree | 1.62 (1.42–1.83) vs. Model A | < 0.001* | 0.83 |
1.43 (1.24–1.63) vs. Model B | < 0.001* | |||
Model D | FRS + stenosis degree + CACS | 1.63 (1.43–1.83) vs. Model A | < 0.001* | 0.83 |
1.45 (1.26–1.63) vs. Model B | < 0.001* | |||
0.01 (−0.02–0.04) vs. Model C | 0.431 | |||
Model E | FRS + stenosis degree + plaque type | 1.69 (1.50–1.89) vs. Model A | < 0.001* | 0.85 |
1.51 (1.31–1.71) vs. Model B | < 0.001* | |||
0.08 (0.01–0.14) vs. Model C | 0.023* | |||
0.06 (−0.02–0.14) vs. Model D | 0.117 | |||
Model F | FRS + stenosis degree + plaque type + CACS | 1.76 (1.56–1.95) vs. Model A | < 0.001* | 0.85 |
1.57 (1.39–1.75) vs. Model B | < 0.001* | |||
0.14 (0.05–0.23) vs. Model C | 0.003* | |||
0.13 (0.04–0.21) vs. Model D | 0.004* | |||
0.06 (−0.01–0.12) vs. Model E | 0.067 |
*p < 0.05. IDI = integrated discrimination improvement