Table 1: Multivariate logistic regression analysis for risk of cardiac events.
a.MCE predicting model.
| Coefficient | Standard error | Odds ratio | 95% CI | P value |
Age | 0.018 | 0.0090 | 1.0179 | 1.0001 - 1.0360 | 0.0490 |
Diabetes mellitus | 0.602 | 0.1686 | 1.8271 | 1.3128 - 2.5428 | 0.0004 |
eGFR | -0.022 | 0.0035 | 0.9787 | 0.9719 - 0.9855 | < 0.0001 |
SSS | 0.051 | 0.0070 | 1.0526 | 1.0382 - 1.0672 | < 0.0001 |
Constant | -3.176 | | | | |
MCE: major cardiac event; CI: confidence interval; eGFR: estimated glomerular filtration rate; SSS: summed stress score.
b. Cardiac death predicting model.
| Coefficient | Standard error | Odds ratio | 95% CI | P value |
Age | 0.031 | 0.0132 | 1.0318 | 1.0053 - 1.0590 | 0.0185 |
eGFR | -0.031 | 0.0050 | 0.9698 | 0.9602 - 0.9796 | <0.0001 |
SSS | 0.038 | 0.0125 | 1.0392 | 1.0140 - 1.0649 | 0.0021 |
Stress LVEF | -0.029 | 0.0092 | 0.9710 | 0.9537 - 0.9885 | 0.0013 |
Constant | -2.602 | | | | |
CI: confidence interval; eGFR: estimated glomerular filtration rate; SSS: summed stress score; LVEF: left ventricular ejection fraction
[39].