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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 3. Adjusted logistic regression models predicting survival to hospital discharge and functionally favorable survival.

Predictor Predictors of survival Predictors of favorable outcome
Adjusted OR (95%CI) P value Adjusted OR (95%CI) P value
Model 1:
 Age 0.97 (0.96 – 0.98) <0.001 0.95 (0.94 – 0.97) <0.001
 Shockable rhythm 1.85 (1.25 – 2.72) 0.002 2.41 (1.53 – 3.77) <0.001
 Witnessed arrest 1.76 (1.25 – 2.47) 0.001 1.72 (1.15 – 2.58) 0.009
 Cardiac catheterization 4.00 (2.70 – 5.94) <0.001 5.03 (3.15 – 8.05) <0.001
Antiplatelet use 1.81 (1.25 – 2.64) 0.002 1.57 (1.02 – 2.46) 0.04
Anticoagulant use 1.91 (1.18 – 3.11) 0.009 0.87 (0.46 – 1.65) 0.83

Model 2:*
 Age 0.97 (0.96 – 0.98) <0.001 0.94 (0.92 – 0.96) <0.001
 Shockable rhythm 1.30 (0.75 – 2.24) 0.35 1.76 (0.95 – 3.24) 0.07
 Witnessed arrest 1.61 (1.05 – 2.46) 0.03 1.79 (1.07 – 2.99) 0.03
 Cardiac catheterization 3.58 (2.03 – 6.29 <0.001 5.30 (2.68 – 10.5) <0.001
 Cardiac etiology of arrest 1.71 (0.94 – 3.12) 0.08 1.43 (0.74 – 2.77) 0.29
Antiplatelet use 1.74 (1.08 – 2.80) 0.02 2.11 (1.17 – 3.79) 0.01
Anticoagulant use 1.65 (0.90 – 3.03) 0.10 0.96 (0.43 – 2.13) 0.62
*

Because accurate arrest etiology data are only available after February 2012, model 2 includes only 466 of 1,054 subjects