Table 2.
Odds ratios and 95% CIs for multilevel logistic models estimating 30-day in-hospital mortality in the overall sample
| Hierarchical null model | Hierarchical model without presence of a cardiac catheterisation lab. | Hierarchical model with presence of a cardiac catheterisation lab. | |
|---|---|---|---|
|
Patients Characteristics |
|
|
|
| Gender (male vs. female) |
– |
1.10 (0.90–1.36) |
1.09 (0.89–1.35) |
| Age (years) |
– |
1.09 (1.08–1.10) |
1.09 (1.08–1.10) |
| History of COPD |
– |
1.99 (1.31–3.01) |
1.91 (1.26–2.88) |
| History of heart failure |
– |
1.47 (1.07–2.02) |
1.46 (1.06–2.00) |
| History of cerebrovascular diseases |
– |
1.49 (1.04–2.14) |
1.49 (1.04–2.14) |
| Cerebrovascular diseases |
– |
1.45 (1.01–2.09) |
1.42 (0.99–2.04) |
| History of tumours |
– |
2.65 (1.73–4.05) |
2.55 (1.67–3.90) |
| ST-segment elevation (STEMI vs. NSTEMI) |
– |
2.26 (1.83–2.78) |
2.31 (1.88–2.84) |
|
Hospital Characteristic |
|
|
|
| Presence of cardiac catheterisation lab. |
– |
– |
0.71 (0.58–0.87) |
|
Hospital Variance |
|
|
|
|
σ2 (p-value)* |
0.12 (<0.001) |
0.05 (0.084) |
<0.01 (1.000) |
|
Goodness of fit |
|
|
|
| Pseudo R2 |
– |
0.31 |
0.32 |
| Wald χ2 (p-value) |
– |
335.25 (<0.001) |
350.58 (<0.001) |
| AIC |
3,261.08 |
2,843.00 |
2,836.27 |
| BIC | 3,264.30 | 2,859.11 | 2,853.99 |
* p-value from LR (likelihood ratio) test vs. logistic regression of σ2 = 1.
CI confidence interval, AIC Akaike Information Criterion, BIC Bayesian Information Criterion.