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A Ventricular Fibrillation Waveform Approach to Direct Postshock Chest Compressions in a Swine Model of VF Arrest.
MedLine Citation:
PMID:  25488413     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: In retrospective swine and human investigations of ventricular fibrillation (VF) cardiac arrest, the amplitude-spectral area (AMSA), determined from the VF waveform, can predict defibrillation and a return of spontaneous circulation (ROSC).
OBJECTIVES: We hypothesized that an algorithm using AMSA in real time to direct postshock chest compression (CC) duration would shorten the time to ROSC and improve neurological outcome in a swine model of VF cardiac arrest with acute myocardial infarction (AMI) or nonischemic myocardium.
METHODS: AMI was induced by occlusion of the left anterior descending artery. VF was untreated for 10 min. Animals were randomized to either traditional resuscitation with 2 min of CC after each shock or to an AMSA-guided algorithm where postshock CCs were shortened to 1 min if the preshock AMSA exceeded 20 mV-Hz.
RESULTS: A total of 48 animals were studied, 12 in each group (AMI vs. normal, and traditional vs. AMSA-guided). There was a nonsignificant shorter time to ROSC with an AMSA-guided approach in AMI swine (17.2 ± 3.4 vs. 18.5 ± 4.7 min, p = NS), and in normal swine (13.5 ± 1.1 vs. 14.4 ± 1.2, p = NS). Neurological outcome was similar between traditional and AMSA-guided animals. AMSA predicted ROSC (p < 0.001), and a threshold of 20 mV-Hz gave a sensitivity of 89%, with specificity of 29%.
CONCLUSION: Although AMSA predicts ROSC in a swine model of VF arrest in both AMI and normal swine, a waveform-guided approach that uses AMSA to direct postshock CC duration does not significantly shorten the time to ROSC or alter neurological outcome.
Authors:
Meghan McGovern; Daniel Allen; Fahd Chaudhry; Zacherie Conover; Ronald Hilwig; Julia H Indik
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-12-5
Journal Detail:
Title:  The Journal of emergency medicine     Volume:  -     ISSN:  0736-4679     ISO Abbreviation:  J Emerg Med     Publication Date:  2014 Dec 
Date Detail:
Created Date:  2014-12-9     Completed Date:  -     Revised Date:  2014-12-10    
Medline Journal Info:
Nlm Unique ID:  8412174     Medline TA:  J Emerg Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Inc. All rights reserved.
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