Table 4.
Multivariate logistic regression to predict the occurrence of the primary and secondary end points
| Biomarkers and outcomes | Primary outcome
|
P-value | Secondary outcome
|
P-value | ||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| MR-proADM (nmol/L) | 1.65 | 1.10–2.48 | 0.015 | 1.99 | 1.27–3.11 | 0.002 |
| Clinical risk score | ||||||
| Low | 1 | – | – | 1 | – | – |
| Medium | 1.24 | 0.48–3.18 | 0.64 | 2.17 | 0.46–10.10 | 0.33 |
| High | 1.72 | 0.68–4.34 | 0.24 | 2.67 | 0.57–12.39 | 0.21 |
Note: Models including MR-proADM and clinical risk score category.
Abbreviations: CI, confidence interval; MR-proADM, mid-regional pro-adrenomedullin; OR, odds ratio.