Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-07T18:04:10.864Z Has data issue: false hasContentIssue false

SEMIAUTOMATED EXTERNAL DEFIBRILLATORS FOR IN-HOSPITAL EARLY DEFIBRILLATION: A COMPARATIVE STUDY

Published online by Cambridge University Press:  10 February 2014

Federico Nocchi
Affiliation:
Clinical Technology Innovation Research Area and Clinical Engineering Department, Bambino Gesù Children's Hospital, IRCCS
Pietro Derrico
Affiliation:
Clinical Technology Innovation Research Area and Clinical Engineering Department, Bambino Gesù Children's Hospital, IRCCS
Gerardina Masucci
Affiliation:
Clinical Engineering Department, Bambino Gesù Children's Hospital, IRCCS; Ingegneria Biomedica Santa Lucia S.p.A.
Carlo Capussotto
Affiliation:
Clinical Engineering Department, Bambino Gesù Children's Hospital, IRCCS
Corrado Cecchetti
Affiliation:
Emergency Department, Bambino Gesù Children's Hospital, IRCCS
Matteo Ritrovato
Affiliation:
Clinical Technology Innovation Research Area, Bambino Gesù Children's Hospital, IRCCS
Rights & Permissions [Opens in a new window]

Abstract

Objectives: Semiautomated external defibrillators (AEDs) should be considered as a means to facilitate in-hospital early defibrillation (IHED) in areas where advanced life support rescuers are not readily available. In this study, we aimed to develop a checklist and a measurement protocol to evaluate and compare AEDs by assessing factors that may affect IHED.

Methods: A clinical and technical comparison of six AEDs was performed. Technical specifications were analyzed, while an emergency team evaluated ergonomics and appropriateness for IHED at Bambino Gesù Children's Hospital. A measurement protocol was implemented, which aimed to assess the ability of defibrillators to recognize shockable and nonshockable rhythms, accuracy of delivered energy, and charging time.

Results: Designs of AEDs differed in several features which influence their appropriateness for IHED. Some units showed poor ergonomics and instructions/feedback for cardiopulmonary resuscitation. Differences between defibrillators in recognizing shockable and nonshockable rhythms emerged for polymorphic ventricular tachycardia waveforms and when the frequency and amplitude of input signals varied. Tests for accuracy revealed poor performances at low and high impedance levels for most AEDs. Notably, differences greater than 20 seconds were found in the time from power-on to “ready for discharge.”

Conclusions: The approach we used to assess AEDs allowed us to evaluate their appropriateness with respect to the organizational context, to measure their parameters, and to compare models. Results showed that ergonomics and/or performances (timing and accuracy) could be improved in each device.

Information

Type
Assessments
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Table 1. Technical specifications.

Figure 1

Figure 1. Accuracy of delivered energy for 50 J (A) and 150 J (B) energy levels, while varying the load in the range 25–175 Ω (with 25-Ω steps). For each combination of energy level and impedance, accuracy was evaluated by comparing the measured delivered energy with the corresponding rated value. To detect the initial deliverable energy, the “shock” button was pressed as soon as indicated by the device. (C) Difference between energy delivered to a 50-Ω load before automatic disarming and rated energy value at the 50 J and 150 J energy levels.

Figure 2

Figure 2. Start Time (ST), analysis time (AT), and charge time (CT) for 50 J (A) and 150 J (B) energy levels: the time from the initial power switch-on to the “ready for discharge” condition (SRT) is ST+AT+CT, while the time from the notification of rhythm analysis start to the “ready for discharge” condition (ART) is AT+CT. Average analysis time for 1 mV shockable and non-shockable rhythms (C).*For the HeartStart FRx, the charging phase could not be distinguished from the rhythm analysis phase. Therefore, when shockable rhythms were presented, AT and CT were measured together as the time interval from the notification of the start of rhythm analysis to the “ready for discharge” condition.

Figure 3

Table 2. Summary of checklists for evaluating AEDs.

Supplementary material: Image

Nocchi Supplementary Material

Figure 1

Download Nocchi Supplementary Material(Image)
Image 170.3 KB
Supplementary material: File

Nocchi Supplementary Material

Table 1

Download Nocchi Supplementary Material(File)
File 60.1 KB
Supplementary material: File

Nocchi Supplementary Material

Table 2

Download Nocchi Supplementary Material(File)
File 59 KB
Supplementary material: File

Nocchi Supplementary Material

Table 3

Download Nocchi Supplementary Material(File)
File 62.3 KB