Table 4.
Multivariate logistic regression with biomarkers and ocular parameters for detecting CAD.
| Biomarkers/ocular parameters | AUROC | Sensitivity % | Specificity % | PPV% | NPV% |
|---|---|---|---|---|---|
| Log10 NT-proBNP, adiponectin, log10 H-FABP, Va | 0.977 | 94.7 | 91.5 | 91.5 | 94.7 |
| Log10 NT-proBNP, log10 adiponectin, log10 H-FABP, Vs | 0.976 | 93.0 | 93.2 | 93.0 | 93.2 |
| Log10 NT-proBNP, log10 adiponectin, Vs | 0.967 | 93.0 | 91.5 | 91.4 | 93.1 |
| Log10 NT-proBNP, log10 adiponectin, Va | 0.966 | 94.7 | 93.2 | 93.1 | 94.8 |
| Log10 H-FABP, log10 NT-proBNP, Va | 0.953 | 88.1 | 91.9 | 91.2 | 89.1 |
| Log10 H-FABP, log10 NT-proBNP, Vs | 0.953 | 86.4 | 90.3 | 89.5 | 87.5 |
| Log10 H-FABP, log10 NT-proBNP, log10 WSR | 0.936 | 84.7 | 88.7 | 87.7 | 85.9 |
| Log10 NT-proBNP, Vs | 0.926 | 85.0 | 83.9 | 83.6 | 85.2 |
| Log10 NT-proBNP, Va | 0.925 | 83.3 | 85.5 | 84.7 | 84.1 |
| IL-6, Vs | 0.840 | 76.2 | 76.2 | 76.2 | 76.2 |
| Log10 H-FABP, Vs | 0.830 | 73.0 | 76.6 | 75.4 | 74.2 |
| Log10 H-FABP, Va | 0.815 | 73.0 | 71.9 | 71.9 | 73.0 |
| CRP, D | 0.810 | 79.4 | 67.2 | 71.4 | 75.9 |
| Log10 adiponectin, log10 WSR | 0.769 | 76.3 | 60.3 | 66.2 | 71.4 |
| Log10 adiponectin, Va | 0.721 | 76.2 | 53.1 | 61.5 | 69.4 |
| Log10 adiponectin, D | 0.702 | 72.1 | 54.2 | 62.0 | 65.3 |
| Vs | 0.706 | 63.1 | 73.4 | 70.7 | 66.2 |
| Log10 adiponectin | 0.674 | 65.6 | 62.5 | 63.6 | 64.5 |
| Log10 NT-proBNP | 0.897 | 78.7 | 90.6 | 88.9 | 81.7 |
| QRISK3 score | 0.732 | 71.7 | 64.9 | 68.3 | 68.5 |
| Age (years) | 0.604 | 59.1 | 57.6 | 58.2 | 58.5 |
Significant values are in bold.
CRP C-reactive protein, H-FABP heart-type fatty acid-binding protein, IL-6 interleukin-6, NT-proBNP N-terminal pro brain natriuretic peptide, D vessel diameter, Va axial velocity, Vs cross-sectional velocity, WSR wall shear rate, AUROC area under receiver operator characteristic curve, PPV positive predictive value, NPV negative predictive value.