Literature DB >> 28279694

Location of cardiac arrest and impact of pre-arrest chronic disease and medication use on survival.

Asger Granfeldt1, Mads Wissenberg2, Steen Møller Hansen3, Freddy K Lippert4, Christian Torp-Pedersen3, Erika Frischknecht Christensen5, Christian Fynbo Christiansen6.   

Abstract

INTRODUCTION: Cardiac arrest in a private location is associated with a higher mortality when compared to public location. Past studies have not accounted for pre-arrest factors such as chronic disease and medication. AIM: To investigate whether the association between cardiac arrest in a private location and a higher mortality can be explained by differences in chronic diseases and medication.
METHODS: We identified 27,771 out-of-hospital cardiac arrest patients ≥18 years old from the Danish Cardiac Arrest Registry (2001-2012). Using National Registries, we identified pre-arrest chronic disease and medication. To investigate the importance of cardiac arrest related factors and chronic disease and medication use we performed adjusted Cox regression analyses during day 0-7 and day 8-365 following cardiac arrest to calculate hazard ratios (HR) for death.
RESULTS: Day 0-7: Un-adjusted HR for death day 0-7 was 1.21 (95%CI:1.18-1.25) in private compared to public location. When including cardiac arrest related factors HR for death was 1.09 (95%CI:1.06-1.12). Adding chronic disease and medication to the analysis changed HR for death to 1.08 (95%CI:1.05-1.12). 8-365 day: The un-adjusted HR for death day 8-365 was 1.70 (95% CI: 1.43-2.02) in private compared to public location. When including cardiac arrest related factors the HR decreased to 1.39 (95% CI: 1.14-1.68). Adding chronic disease and medication to the analysis changed HR for death to 1.27 (95% CI:1.04-1.54).
CONCLUSION: The higher mortality following cardiac arrest in a private location is partly explained by a higher prevalence of chronic disease and medication use in patients surviving until day 8.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiac arrest; Cardiopulmonary resuscitation; Chronic disease; Location; Medication use

Mesh:

Year:  2017        PMID: 28279694     DOI: 10.1016/j.resuscitation.2017.02.026

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


  3 in total

1.  Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

Authors:  Nooraldeen Al-Dury; Annica Ravn-Fischer; Jacob Hollenberg; Johan Israelsson; Per Nordberg; Anneli Strömsöe; Christer Axelsson; Johan Herlitz; Araz Rawshani
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-06-25       Impact factor: 2.953

2.  Impact of Cardiopulmonary Resuscitation on Emergency Medical Staff-Romanian Perspective (IRESUS-EMS).

Authors:  Paul-Lucian Nedelea; Mihaela Corlade-Andrei; Cristina Kantor; Ovidiu Tudor Popa; Emilian Manolescu; Diana Cimpoeșu
Journal:  J Clin Med       Date:  2022-09-27       Impact factor: 4.964

3.  Improvement in Non-Traumatic, Out-Of-Hospital Cardiac Arrest Survival in Detroit From 2014 to 2016.

Authors:  Spencer May; Liying Zhang; Dan Foley; Erin Brennan; Brian O'Neil; Ethan Bork; Phillip Levy; Robert Dunne
Journal:  J Am Heart Assoc       Date:  2018-08-21       Impact factor: 5.501

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.