Document Detail


Beyond ventricular fibrillation analysis: comprehensivewaveform analysis for all cardiac rhythms occurring duringresuscitation.
MedLine Citation:
PMID:  25195072     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
AIM: To propose a method which analyses the electrocardiogram (ECG) waveform of any cardiac rhythm occurring during resuscitation and computes the probability of that rhythm converting into another with better prognosis (Pdes).
METHODS: Rhythm transitions occurring spontaneously or due to defibrillation were analysed. For each possible rhythm, ventricular fibrillation/ventricular tachycardia (VF/VT), pulseless electrical activity (PEA), pulse-generating rhythm (PR) and asystole (AS), the desired and undesired transitions were defined. ECG segments corresponding to the last 3s of rhythms prior to transition were used to extract waveform features. For each rhythm type, waveform features were combined into a logistic regression model to develop a rhythm specific classifier of desired transitions. This model was the monitoring function for the Pdes. The capacity of each rhythm specific classifier to discriminate between desired and undesired transitions was evaluated in terms of area under the curve (AUC). Pdes was integrated into a state sequence representation, which structures the information of cardiac arrest episodes, to analyse the effect of therapy on patient. As a case study, the effect of optimal/suboptimal cardiopulmonary resuscitation (CPR) on Pdes was analysed. The mean Pdes was computed for the pre- and post-CPR intervals which presented the same underlying rhythm. The relationship between the optimal/suboptimal CPR and increase/decrease of Pdes was analysed.
RESULTS: The AUC was 0.80, 0.79, 0.73 and 0.61 for VF/VT, PEA, PR and AS respectively. The Pdes quantified the probability of every rhythm of the episode developing to a better state, and the evolution of Pdes was coherent with the provided therapy. The case study indicated, for most rhythms, that positive trends in the dynamic behaviour could be associated with optimal CPR, whereas the opposite seemed true for negative trends.
CONCLUSION: A method for continuous ECG waveform analysis covering all cardiac rhythms during resuscitation has been proposed. This methodology can be further developed to be used in retrospective studies of CPR techniques, and, in the future, for potentially monitoring in real time the probability of survival of patients being resuscitated.
Authors:
Erik Alonso; Trygve Eftestøl; Elisabete Aramendi; Jo Kramer-Johansen; Eirik Skogvoll; Trond Nordseth
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-9-3
Journal Detail:
Title:  Resuscitation     Volume:  -     ISSN:  1873-1570     ISO Abbreviation:  Resuscitation     Publication Date:  2014 Sep 
Date Detail:
Created Date:  2014-9-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0332173     Medline TA:  Resuscitation     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier Ireland Ltd.
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