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Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study
BACKGROUND: Patients with cardiac arrest have lower survival rates, when resuscitation performance is low. In In-hospital settings the first responders on scene are usually nursing staff without rhythm analysing skills. In such cases Automated External Defibrillators (AED) might help guiding resusci...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4628300/ https://www.ncbi.nlm.nih.gov/pubmed/26521230 http://dx.doi.org/10.1186/s13049-015-0170-7 |
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author | Wurmb, Thomas Vollmer, Tina Sefrin, Peter Kraus, Martin Happel, Oliver Wunder, Christian Steinisch, Andreas Roewer, Norbert Maier, Sebastian |
author_facet | Wurmb, Thomas Vollmer, Tina Sefrin, Peter Kraus, Martin Happel, Oliver Wunder, Christian Steinisch, Andreas Roewer, Norbert Maier, Sebastian |
author_sort | Wurmb, Thomas |
collection | PubMed |
description | BACKGROUND: Patients with cardiac arrest have lower survival rates, when resuscitation performance is low. In In-hospital settings the first responders on scene are usually nursing staff without rhythm analysing skills. In such cases Automated External Defibrillators (AED) might help guiding resuscitation performance. At the Wuerzburg University Hospital (Germany) an AED-program was initiated in 2007. Aim of the presented study was to monitor the impact of Automated External Defibrillators on the management of in-hospital cardiac arrest events. METHODS: The data acquisition was part of a continuous quality improvement process of the Wuerzburg University Hospital. For analysing the CPR performance, the chest compression rate (CCR), compression depth (CCD), the no flow fraction (NFF), time interval from AED-activation to the first compression (TtC), the time interval from AED-activation to the first shock (TtS) and the post schock pause (TtCS) were determined by AED captured data. A questionnaire was completed by the first responders. RESULTS: From 2010 to 2012 there were 359 emergency calls. From these 53 were cardiac arrests with an AED-application. Complete data were available in 46 cases. The TtC was 34 (32–52) seconds (median and IQR).The TtS was 30 (28–32) seconds (median and IQR) . The TtCS was 4 (3–6) seconds (median and IQR) . The CCD was 5.5 ± 1 cm while the CCR was 107 ± 11/min. The NFF was calculated as 41 %. ROSC was achieved in 21 patients (45 %), 8 patients (17 %) died on scene and 17 patients (37 %) were transferred under ongoing CPR to an Intensive Care Unit (ICU). CONCLUSION: The TtS and TtC indicate that there is an AED-user dependent time loss. These time intervals can be markedly reduced, when the user is trained to interrupt the AED’s “chain of advices” by placing the electrode-paddles immediately on the patient’s thorax. At this time the AED switches directly to the analysing mode. Intensive training and adaption of the training contents is needed to optimize the handling of the AED in order to maximize its advantages and to minimize its disadvantages. |
format | Online Article Text |
id | pubmed-4628300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46283002015-11-01 Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study Wurmb, Thomas Vollmer, Tina Sefrin, Peter Kraus, Martin Happel, Oliver Wunder, Christian Steinisch, Andreas Roewer, Norbert Maier, Sebastian Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Patients with cardiac arrest have lower survival rates, when resuscitation performance is low. In In-hospital settings the first responders on scene are usually nursing staff without rhythm analysing skills. In such cases Automated External Defibrillators (AED) might help guiding resuscitation performance. At the Wuerzburg University Hospital (Germany) an AED-program was initiated in 2007. Aim of the presented study was to monitor the impact of Automated External Defibrillators on the management of in-hospital cardiac arrest events. METHODS: The data acquisition was part of a continuous quality improvement process of the Wuerzburg University Hospital. For analysing the CPR performance, the chest compression rate (CCR), compression depth (CCD), the no flow fraction (NFF), time interval from AED-activation to the first compression (TtC), the time interval from AED-activation to the first shock (TtS) and the post schock pause (TtCS) were determined by AED captured data. A questionnaire was completed by the first responders. RESULTS: From 2010 to 2012 there were 359 emergency calls. From these 53 were cardiac arrests with an AED-application. Complete data were available in 46 cases. The TtC was 34 (32–52) seconds (median and IQR).The TtS was 30 (28–32) seconds (median and IQR) . The TtCS was 4 (3–6) seconds (median and IQR) . The CCD was 5.5 ± 1 cm while the CCR was 107 ± 11/min. The NFF was calculated as 41 %. ROSC was achieved in 21 patients (45 %), 8 patients (17 %) died on scene and 17 patients (37 %) were transferred under ongoing CPR to an Intensive Care Unit (ICU). CONCLUSION: The TtS and TtC indicate that there is an AED-user dependent time loss. These time intervals can be markedly reduced, when the user is trained to interrupt the AED’s “chain of advices” by placing the electrode-paddles immediately on the patient’s thorax. At this time the AED switches directly to the analysing mode. Intensive training and adaption of the training contents is needed to optimize the handling of the AED in order to maximize its advantages and to minimize its disadvantages. BioMed Central 2015-10-31 /pmc/articles/PMC4628300/ /pubmed/26521230 http://dx.doi.org/10.1186/s13049-015-0170-7 Text en © Wurmb et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Research Wurmb, Thomas Vollmer, Tina Sefrin, Peter Kraus, Martin Happel, Oliver Wunder, Christian Steinisch, Andreas Roewer, Norbert Maier, Sebastian Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title | Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title_full | Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title_fullStr | Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title_full_unstemmed | Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title_short | Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators – a retrospective observational study |
title_sort | monitoring of in-hospital cardiac arrest events with the focus on automated external defibrillators – a retrospective observational study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4628300/ https://www.ncbi.nlm.nih.gov/pubmed/26521230 http://dx.doi.org/10.1186/s13049-015-0170-7 |
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