Table 3 Comparison of model performance for the prediction of coronary stenosis by adding kidney damage biomarkers to a baseline model including cardiovascular risk factors. The coronary stenosis was defined by coronary computed tomography angiography (CCTA).
Model | C-statistic (95%CI) | Likelihood ratio test p-value |
---|---|---|
Baseline model* | 0.747 (0.734, 0.764) | Ref. |
Baseline model + eGFR | 0.748 (0.735, 0.765) | < 0.001 |
Baseline model + albuminuria | 0.747 (0.734, 0.762) | 0.486 |
Baseline model + KIM-1 | 0.748 (0.735, 0.763) | 0.001 |
Baseline model + osteopontin | 0.747 (0.733, 0.764) | 0.124 |
Baseline model + EGF | 0.747 (0.734, 0.763) | 0.892 |
Baseline model + DKK-3 | 0.747 (0.734, 0.763) | 0.882 |