Evidence map›Paper›PMID 26521230›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2015

Monitoring of in-hospital cardiac arrest events with the focus on Automated External Defibrillators--a retrospective observational study.

Thomas Wurmb, Tina Vollmer, Peter Sefrin, Martin Kraus, Oliver Happel, Christian Wunder, Andreas Steinisch, Norbert Roewer, Sebastian Maier

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Thomas WurmbDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany. wurmb_t@ukw.de.
Tina VollmerDepartment of Anaesthesiology, Hospital of Ludwigsburg, Posilipoststrasse 4, 71640, Ludwigsburg, Germany. tina.vollmer@kliniken-lb.de.
Peter SefrinDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany.
Martin KrausEmergency Services, Wuerzburg, Germany. martin.kraus@aelrd-bayern.de.
Oliver HappelDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany. happel_o@ukw.de.
Christian WunderDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany. wunder_c@ukw.de.
Andreas SteinischDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany. steinisch_a@ukw.de.
Norbert RoewerDepartment of Anaesthesiology, University Hospital of Wuerzburg, Oberduerrbacherstrasse 6, 97080, Wuerzburg, Germany. roewer_r@ukw.de.
Sebastian MaierDepartment of Internal Medicine II, St. Elisabeth Hospital Straubing GmbH, St. Elisabeth-Strasse 23, 97315, Straubing, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients 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.

methodsThe 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.

resultsFrom 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).

conclusionThe 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.

Indexed as

HospitalizationCardiopulmonary ResuscitationDefibrillatorsFemaleHeart ArrestHumansInservice TrainingMaleMonitoring, PhysiologicPatient Care TeamQuality ImprovementRetrospective StudiesSurveys and QuestionnairesTreatment Outcome

Identifiers

PMID26521230
PMCPMC4628300

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.