Comparative performance assessment of commercially available automatic external defibrillators: A simulation and real-life measurement study of hands-off time

Savastano, Simone; Vanni, Vincenzo; Burkart, Roman; Raimondi, Maurizio; Canevari, Fabrizio; Molinari, Simone; Baldi, Enrico; Danza, Aurora Ilaria; Caputo, Maria Luce; Mauri, Romano; Regoli, François; Conte, Giulio; Benvenuti, Claudio; Auricchio, Angelo

doi:10.1016/j.resuscitation.2016.10.006

Cited by 9 publications

(10 citation statements)

References 22 publications

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“…Similar findings were more recently published by Savastano and co-workers who tested the performances of 12 commercially available AEDs both in manikins and in the real scenario [26]. In their study they confirmed that the hands-off intervals are related to the prolonged times required by the devices to perform the analysis necessary to identify the underlying rhythms either indicating a shock or suggesting chest compression.…”

Section: Discussionsupporting

confidence: 88%

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Systematic assessment of the technical features of seventeen automated external defibrillators and their potential implication in the clinical setting

Kette¹,

Locatelli²,

Bozzola³

et al. 2018

Trauma Emerg Care

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Aim: Assessment and comparison of technical features of seventeen Automated External Defibrillators (AEDs).Method: Engineering bench tests for a systematic descriptive evaluation in commercially available AEDs. The devices were tested through an ECG simulator, an impedance simulator, an oscilloscope and a measuring device. All tests were performed at the engineering facility of the Lombardy Regional Emergency Service (AREU). Results:The AEDs highlighted large variations in terms of physical features, time intervals from lighting to the ready-for-analysis time interval, time required to analyse shockable and non-shockable rhythms, voice prompts and other additional features such as a metronome and feedback devices aimed to obtain the best quality of chest compression (depth and rate).As per the size, they highlighted similar characteristics in term of weight and size but one that resulted substantially smaller and lighter. Their pre-set energy was found to range between 150 and 360J. The lighting time varied from a minimum of 9.5 sec (Nihon Kohden Cardiolife) to 44 sec (Ami Italia Saver One). The time spent for the analysis was predominantly shorter in ventricular fibrillation (VF) than in non-defibrillating rhythms. A metronome was present in 11/17 devices whereas an accelerometer was present in two AEDs only. The voice prompts also differed ranging from "begin CPR" to diverse types of information including compression-toventilation ratio, elapsed time and the effectiveness of cardiac massage. Conclusions:There is a large variability in the physical characteristics of the AEDs tested. Some feature may not affect the quality of the devices, such as the size or the type of waveform whereas others (i.e. time for lighting, time spent for the analysis) may hamper the effectiveness of successful resuscitation due to the long time required without performing chest compression. Accordingly, some peculiarity should be improved to better fulfil the requirements of the current Guidelines for Cardiac Arrest and CPR, particularly to minimize the interruption of chest compression.

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Section: Discussionsupporting

confidence: 88%

“…Similarly, when we measured the time required to analyze a shockable or non-shockable rhythm once the AEDs were already decade ago [26]. Further research on the AEDs is needed to identify areas of improvement to increase survival following cardiac arrest.…”

Section: Discussionmentioning

confidence: 99%

Systematic assessment of the technical features of seventeen automated external defibrillators and their potential implication in the clinical setting

Kette¹,

Locatelli²,

Bozzola³

et al. 2018

Trauma Emerg Care

View full text Add to dashboard Cite

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“…The duration of CC interruptions to interpret ECGs might be particularly severe since some AED can require more than 20 sec of "hands off" in order to perform a reliable rhythm analysis and charging the capacitor. 9,22 The purpose of filtering compression artifacts from the ECG signal is to enable rhythm analysis during uninterrupted CCs, shortening the pre-shock pause and ultimately improving resuscitation outcome. 6,[10][11][12][13][14] Human ECG and CPR artifacts, however, show a large spectral overlap that makes the filtering approach difficult.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast Reconfirmation technology

et al. 2018

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“…Of note, some studies have shown that the laypersons' ability to understand the instructions and efficiently operate AEDs still need to be enhanced. [9][10][11] It has been reported that laypersons are likely to disregard operation steps such as removing clothes, placing the electrodes, and resuming cardiopulmonary resuscitation (CPR) after the shock. [9] AED training is a good way to cope with improper operation, especially for the reduction of operation time.…”

Section: Introductionmentioning

confidence: 99%

“…[15][16][17] Many researchers have found that distinctive AED device features impact the performance of laypersons; different AED voice prompts bring about a longer time to resume CPR. [10,16,17] Therefore, it is of vital significance to investigate whether people trained with one type of AED can effectively operate other types of AEDs. This begs the question whether they perform differently using a new type of AED and if it is necessary to provide training for different types of AEDs.…”

Section: Introductionmentioning

confidence: 99%

Layperson’s performance on an unconversant type of AED device: A prospective crossover simulation experimental study

Lei¹,

Qin²,

Dong³

et al. 2022

World Journal of Emergency Medicine

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BACKGROUND: Diverse models of automated external defibrillators (AEDs) possess distinctive features. This study aimed to investigate whether laypersons trained with one type of AED could intelligently use another initial contact type of AED with varying features. METHODS:This was a prospective crossover simulation experimental study conducted among college students. Subjects were randomly trained with either AED1 (AED1 group) or AED2 (AED2 group), and the AED operation performance was evaluated individually (Phase I test). At the 6-month follow-up AED performance test (Phase II test), half of the subjects were randomly switched to use another type of AED, which formed two switches (Switch A: AED1-1 group vs. AED2-1 group; Switch B: AED2-2 group vs. AED1-2 group).RESULTS: A total of 224 college students participated in the study. In the phase I test, a significantly higher proportion of successful defibrillation and shorter shock delivery time to achieve successful defibrillation was observed in the AED2 group than in the AED1 group. In the phase II test, no statistical differences were observed in the proportion of successful defibrillation in Switch A (51.4% vs. 36.6%, P=0.19) and Switch B (78.0% vs. 53.7%, P=0.08). The median shock delivery time within participants achieving successful defibrillation was significantly longer in the switched group than that of the initial group in both Switch A (89 [81-107] s vs. 124 [95-135] s, P=0.006) and Switch B (68 [61.5-81.5] s vs. 95.5 [55-131] s, P<0.001).CONCLUSION: College students were able to effectively use AEDs different from those used in the initial training after six months, although the time to shock delivery was prolonged.

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Comparative performance assessment of commercially available automatic external defibrillators: A simulation and real-life measurement study of hands-off time

Cited by 9 publications

References 22 publications

Systematic assessment of the technical features of seventeen automated external defibrillators and their potential implication in the clinical setting

Systematic assessment of the technical features of seventeen automated external defibrillators and their potential implication in the clinical setting

Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast Reconfirmation technology

Layperson’s performance on an unconversant type of AED device: A prospective crossover simulation experimental study

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