Table 3.
Logistic Regression Models for Prediction of In‐Hospital Death in the Overall Population, Including Unit OR Values With 95% CIs and AUC (C‐statistic)
| Variable | Univariable analyses | Multivariable analyses | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Unadjusted OR | Lower 95% CI | Upper 95% CI | P value | AUC | Adjusted OR | Lower 95% CI | Upper 95% CI | P value | AUC | |
| Any shock | 4.590 | 3.328 | 6.331 | <0.001 | 0.661 | 2.107 | 1.476 | 3.010 | <0.001 | 0.849 |
| Number of blocks with shock | 1.441 | 1.360 | 1.527 | <0.001 | 0.715 | 1.152 | 1.070 | 1.241 | <0.001 | 0.850 |
| Admission SCAI shock stage | 2.101 | 1.873 | 2.357 | <0.001 | 0.698 | 1.356 | 1.181 | 1.558 | <0.001 | 0.846 |
| Maximum SCAI shock stage | 2.543 | 2.237 | 2.891 | <0.001 | 0.731 | 1.589 | 1.366 | 1.850 | <0.001 | 0.851 |
| Minimum SCAI shock stage | 2.845 | 2.459 | 3.291 | <0.001 | 0.694 | 1.973 | 1.656 | 2.351 | <0.001 | 0.858 |
| Mean SCAI shock stage | 3.974 | 3.363 | 4.696 | <0.001 | 0.776 | 2.424 | 1.991 | 2.951 | <0.001 | 0.866 |
Multivariable models are adjusted for age, sex, Charlson Comorbidity Index, APACHE IV predicted mortality, and admission diagnosis of cardiac arrest. The SCAI Shock Classification was analyzed as a continuous variable to generate the unit OR value per each higher SCAI shock stage. APACHE indicates Acute Physiology and Chronic Health Evaluation; AUC, area under the receiver operating characteristic curve; OR, odds ratio; and SCAI, Society for Cardiovascular Angiography and Interventions.