Predictive Variables of Counter-Shock During Resuscitation in a Swine Model
dc.contributor.advisor | Indik, Julia | |
dc.contributor.author | Allen, Daniel N. | |
dc.creator | Allen, Daniel N. | |
dc.date.accessioned | 2019-07-06T02:20:29Z | |
dc.date.available | 2019-07-06T02:20:29Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://hdl.handle.net/10150/633321 | |
dc.description.abstract | The 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. | |
dc.language.iso | en | |
dc.publisher | The University of Arizona. | |
dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | |
dc.title | Predictive Variables of Counter-Shock During Resuscitation in a Swine Model | |
dc.type | text | |
dc.type | Thesis-Reproduction (electronic) | |
thesis.degree.grantor | University of Arizona | |
thesis.degree.level | masters | |
dc.contributor.committeemember | ||
thesis.degree.discipline | Biomedical Engineering | |
thesis.degree.name | M.S. | |
dc.description.note | Digitized from a paper copy provided by the Physiological Sciences Graduate Interdisciplinary Program. | |
refterms.dateFOA | 2019-07-06T02:20:29Z |