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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Resuscitation. 2017 Oct 12;121:98–103. doi: 10.1016/j.resuscitation.2017.10.007

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