Table 3.
Multivariate logistic regression model for predictors in non-responders
| Variable | Coefficient | Standard Error | Significant | Odds Ratio | 95% CI | |
|---|---|---|---|---|---|---|
|
| ||||||
| Lower | Upper | |||||
| Height | -0.098 | 0.127 | 0.438 | 0.906 | 0.707 | 1.162 |
| BSA | 3.509 | 5.651 | 0.535 | 33.412 | 0.001 | 2158165.416 |
| Preop EF | -0.010 | 0.070 | 0.887 | 0.990 | 0.863 | 1.136 |
| LVESV | -0.113 | 0.107 | 0.291 | 0.893 | 0.724 | 1.102 |
| LVEDV | 0.077 | 0.038 | 0.043* | 1.080 | 1.002 | 1.164 |
| LVEDD | -0.009 | 0.132 | 0.943 | 0.991 | 0.765 | 1.283 |
| LVSVI | 0.111 | 0.181 | 0.538 | 1.118 | 0.784 | 1.592 |
| LA DIA | 0.018 | 0.105 | 0.862 | 1.018 | 0.829 | 1.250 |
| SBP rest | -0.028 | 0.022 | 0.213 | 0.973 | 0.931 | 1.016 |
| Gender | -20.755 | 5996.727 | 0.997 | 0.000 | 0.000 | 0.000 |
| Smoker | 1.669 | 1.819 | 0.359 | 5.309 | 0.150 | 187.474 |
| RWMA | -0.974 | 1.190 | 0.413 | 0.378 | 0.037 | 3.891 |
| Constant | 25.364 | 5996.762 | 0.997 | 103614267538.269 | ||
*P<0.05