Literature DB >> 15508671

Wide variation in cardiopulmonary resuscitation interruption intervals among commercially available automated external defibrillators may affect survival despite high defibrillation efficacy.

David Snyder1, Carl Morgan.   

Abstract

OBJECTIVE: Recent studies have associated interruptions of cardiopulmonary resuscitation imposed by automated external defibrillators (AEDs) with poor resuscitation outcome. In particular, the "hands-off" interval between precordial compressions and subsequent defibrillation shock has been implicated. We sought to determine the range of variation among current-generation AEDs with respect to this characteristic. MEASUREMENTS: Seven AEDs from six manufacturers were characterized via stopwatch and arrhythmia simulator with respect to the imposed hands-off interval. All AEDs were equipped with new batteries, and measurements were repeated five times for each AED. MAIN
RESULTS: A wide variation in the hands-off interval between precordial compressions and shock delivery was observed, ranging from 5.2 to 28.4 secs, with only one AED achieving an interruption of <10 secs. Laboratory and clinical data suggest that this range of variation could be responsible for a more than two-fold variation in patient resuscitation success, an effect that far exceeds any defibrillation efficacy differences that may hypothetically exist.
CONCLUSIONS: In addition to defibrillation waveform and dose, researchers should consider the hands-off cardiopulmonary resuscitation interruption interval between cardiopulmonary resuscitation and subsequent defibrillation shock to be an important covariate of outcome in resuscitation studies. Defibrillator design should minimize this interval to avoid potential adverse consequences on patient survival.

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Year:  2004        PMID: 15508671     DOI: 10.1097/01.ccm.0000134265.35871.2b

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  11 in total

Review 1.  [Public access defibrillation. Limited use by trained first responders and laymen].

Authors:  S Maisch; P Friederich; A E Goetz
Journal:  Anaesthesist       Date:  2006-12       Impact factor: 1.041

Review 2.  [Inhospital resuscitation : Decisive measures for the outcome].

Authors:  M P Müller; T Jantzen; S Brenner; J Gräsner; K Preiß; J Wnent
Journal:  Anaesthesist       Date:  2015-04       Impact factor: 1.041

3.  Perishock pause: an independent predictor of survival from out-of-hospital shockable cardiac arrest.

Authors:  Sheldon Cheskes; Robert H Schmicker; Jim Christenson; David D Salcido; Tom Rea; Judy Powell; Dana P Edelson; Rebecca Sell; Susanne May; James J Menegazzi; Lois Van Ottingham; Michele Olsufka; Sarah Pennington; Jacob Simonini; Robert A Berg; Ian Stiell; Ahamed Idris; Blair Bigham; Laurie Morrison
Journal:  Circulation       Date:  2011-06-20       Impact factor: 29.690

4.  The impact of peri-shock pause on survival from out-of-hospital shockable cardiac arrest during the Resuscitation Outcomes Consortium PRIMED trial.

Authors:  Sheldon Cheskes; Robert H Schmicker; P Richard Verbeek; David D Salcido; Siobhan P Brown; Steven Brooks; James J Menegazzi; Christian Vaillancourt; Judy Powell; Susanne May; Robert A Berg; Rebecca Sell; Ahamed Idris; Mike Kampp; Terri Schmidt; Jim Christenson
Journal:  Resuscitation       Date:  2013-10-25       Impact factor: 5.262

5.  Quality of basic life support when using different commercially available public access defibrillators.

Authors:  Michael P Müller; Cynthia Poenicke; Maxi Kurth; Torsten Richter; Thea Koch; Carolin Eisold; Adrian Pfältzer; Axel R Heller
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-06-21       Impact factor: 2.953

6.  Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

Authors:  Artzai Picon; Unai Irusta; Aitor Álvarez-Gila; Elisabete Aramendi; Felipe Alonso-Atienza; Carlos Figuera; Unai Ayala; Estibaliz Garrote; Lars Wik; Jo Kramer-Johansen; Trygve Eftestøl
Journal:  PLoS One       Date:  2019-05-20       Impact factor: 3.240

7.  Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest.

Authors:  Andoni Elola; Elisabete Aramendi; Unai Irusta; Artzai Picón; Erik Alonso; Pamela Owens; Ahamed Idris
Journal:  Entropy (Basel)       Date:  2019-03-21       Impact factor: 2.524

8.  Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest.

Authors:  Beatriz Chicote; Unai Irusta; Elisabete Aramendi; Raúl Alcaraz; José Joaquín Rieta; Iraia Isasi; Daniel Alonso; María Del Mar Baqueriza; Karlos Ibarguren
Journal:  Entropy (Basel)       Date:  2018-08-09       Impact factor: 2.524

Review 9.  Rhythm analysis during cardiopulmonary resuscitation: past, present, and future.

Authors:  Sofia Ruiz de Gauna; Unai Irusta; Jesus Ruiz; Unai Ayala; Elisabete Aramendi; Trygve Eftestøl
Journal:  Biomed Res Int       Date:  2014-01-09       Impact factor: 3.411

10.  Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

Authors:  Carlos Figuera; Unai Irusta; Eduardo Morgado; Elisabete Aramendi; Unai Ayala; Lars Wik; Jo Kramer-Johansen; Trygve Eftestøl; Felipe Alonso-Atienza
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

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