Table 2. Adjusted ordinal logistic regression models predicting post-arrest injury severity, modeled as Pittsburgh Post-Cardiac Arrest Category.
Predictor | Adjusted OR (95%CI) | P value |
---|---|---|
Model 1: | ||
Antiplatelet use | 0.55 (0.40 – 0.77) | <0.001 |
Anticoagulant use | 0.80 (0.51 – 1.25) | 0.33 |
Age | 1.00 (0.99 – 1.01) | 0.60 |
Shockable rhythm | 0.33 (0.24 – 0.45) | <0.001 |
Witnessed arrest | 0.64 (0.47 – 0.87) | 0.01 |
| ||
Model 2:* | ||
Antiplatelet use | 0.50 (0.33 – 0.77) | 0.002 |
Anticoagulant use | 0.83 (0.46 – 1.47) | 0.51 |
Age | 1.00 (0.99 – 1.01) | 0.74 |
Shockable rhythm | 0.49 (0.31 – 0.76) | 0.001 |
Witnessed arrest | 0.65 (0.04 – 0.98) | 0.04 |
Cardiac etiology of arrest | 0.45 (0.29 – 0.71) | 0.001 |
Because accurate arrest etiology data are only available after February 2012, model 2 includes only 466 of 1,054 subjects