Literature DB >> 30790694

Bystander automated external defibrillator application in non-shockable out-of-hospital cardiac arrest.

Ross A Pollack1, Siobhan P Brown2, Susanne May3, Tom Rea4, Peter J Kudenchuk5, Myron L Weisfeldt6.   

Abstract

BACKGROUND: An increasing proportion of patients with OHCA present with non-shockable rhythms, among whom the benefit from AED application is not known.
METHODS: We performed a retrospective analysis of adults with non-traumatic, public, bystander-witnessed, non-shockable OHCA occurring between 2005-2015 at 9 locations participating in the Resuscitation Outcomes Consortium. Non-shockable arrest was defined as when no shock was administered by a bystander applied AED and confirmed by the initial rhythm on EMS arrival. Outcomes were compared between patients with non-shockable OHCA in whom a bystander AED was or was not applied.
RESULTS: Among 2809 patients with non-shockable public, witnessed OHCA, 8.4% had an AED applied. CPR was more often performed in the AED-applied group (99% vs. 51% of patients, p < 0.001). Among patients in whom an AED was not applied, 39.8% had any pre-hospital ROSC, 29.6% had a pulse at ED arrival and 11.1% survived to hospital discharge compared to 44.1%, 29.6% and 9.7%, respectively with AED application. After adjustment for the Utstein variables excluding bystander CPR, the OR for survival to hospital discharge for AED application was 0.90 (95% CI:0.57-1.42); when adjusted for the higher frequency of CPR in the AED group the OR was 0.92 (95% CI:0.57-1.47).
CONCLUSIONS: The application of an AED in non-shockable public witnessed OHCA was associated with a higher frequency of bystander CPR. The probabilities of pre-hospital ROSC, pulse at ED arrival, and survival to hospital discharge were not altered by the application of an AED.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automated external defibrillator; Cardiopulmonary resuscitation; Out-of-hospital cardiac arrest; Sudden cardiac arrest

Mesh:

Year:  2019        PMID: 30790694     DOI: 10.1016/j.resuscitation.2019.02.007

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  1 in total

1.  Automated Condition-Based Suppression of the CPR Artifact in ECG Data to Make a Reliable Shock Decision for AEDs during CPR.

Authors:  Shirin Hajeb-Mohammadalipour; Alicia Cascella; Matt Valentine; Ki H Chon
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

  1 in total

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