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Table 5 Univariate Logistic Regression Models on Survival in Resuscitations using Autopulse

From: Mechanical chest compression devices in the helicopter emergency medical service in Switzerland

Variable Univariate Models (Complete Case Analysis) Univariate Models (Multiple Imputation)
OR 95% C.I. p-value OR 95% C.I. p-value
Age 0.999 0.985 to 1.013 0.840 0.999 0.985 to 1.012 0.816
Male Sex 0.502 0.252 to 1.000 0.050 0.325 0.284 to 1.012 0.057
CPR by Lay 0.341 0.165 to 0.705 0.004 0.406 0.226 to 0.729 0.004
Shockable Rhythm 0.148 0.076 to 0.291 < 0.001 0.128 0.065 to 0.255 < 0.001
No of Shocks 0.938 0.858 to 1.025 0.158 0.948 0.872 to 1.031 0.214
Trauma 46.08 6.279 to 338.2 < 0.001 30.54 4.014 to 232.3 0.001
  1. OR Odds ratio, 95% C.I. 95% Confidence interval of the odds ratio
  2. Complete-Case Analysis: Included observations n = 315, 163 missing observations
  3. Female sex, not receiving lay CPR and non-shockable cardiac rhythm served as the reference groups in both models
  4. Trauma variable: Due to the low number of survivors in patients with a trauma diagnosis (n = 1) the regression estimates are biased (separation); estimates are presented for completeness purpose only
  5. Multiple-Imputation Model: No of Imputations = 10, No of Iterations = 50, Method = PMM