Predictive Variables of Counter-Shock During Resuscitation in a Swine Model
PublisherThe University of Arizona.
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AbstractThe purpose of this study was to examine parameters with potential to predict the outcome of counter-shocks during resuscitation. Out-of-hospital discharge rates decline 8-10% per minute of untreated cardiac arrest (3 ,4 ), therefore time wasted during resuscitation for unsuccessful counter-shocks can be reduced if scrutiny is given toward additional variables of predictive ability. Our experiment was designed to find the predictive ability of amplitude spectral area (AMSA), slope, end-tidal carbon dioxide, coronary perfusion pressure, the condition of acute myocardial infarction (MI), and the duration of ventricular fibrillation (VF) induced cardiac arrest preceding resuscitation in a swine model. Variables were tested by logistic regression (a= 0.1). Groups were set up in a 2x2 design: MI versus control; 2 minute vs 8 minute VF. We found AMSA, slope, MI and duration of VF significant predictors of countershock. We also found AMSA, slope, and duration of VF as independent predictors of counter-shock.