Literature DB >> 33437558

Can We Predict Good Survival Outcomes by Classifying Initial and Re-Arrest Rhythm Change Patterns in Out-of-Hospital Cardiac Arrest Settings?

Heejun Shin1, Giwoon Kim1, Younghwan Lee1, Hyungjun Moon2, Hanjoo Choi3, Choung Ah Lee4, Hyuk Joong Choi5, Yongjin Park6, Kyoungmi Lee7, Wonjung Jeong8.   

Abstract

Objective The purpose of this study was to investigate whether a change in prehospital arrest rhythms could allow medical personnel to predict survival outcomes in patients who achieved a return of spontaneous circulation (ROSC) in the setting of out-of-hospital cardiac arrest (OHCA). Methods The design of this study was retrospective, multi-regional, observational, and cross-sectional with a determining period between August 2015 and July 2016. Cardiac arrest rhythms were defined as a shockable rhythm (S), which refers to ventricular fibrillation (VF) or pulseless ventricular tachycardia (pVT), and non-shockable rhythm (NS), which refers to pulseless electrical activity or asystole. Survival to admission, survival to discharge, and good cerebral performance category (CPC) (CPC 1 or 2) were defined as good survival outcomes. Results A total of 163 subjects were classified into four groups according to the rhythm change pattern: NS→NS (98), S→S (27), S→NS (23), and NS→S (15). NS→NS pattern was used as the reference in logistic regression analysis. In the case of survival to hospital admission, the odds ratio (OR) (95% CI) of the S→S pattern was the highest [12.63 (3.56-44.85), p: <0.001 by no correction] and [7.29 (1.96-27.10), p = 0.003 with adjusting]. In the case of survival to hospital discharge, the OR (95% CI) of the S→S pattern was the highest [37.14 (11.71-117.78), p: <0.001 by no correction] and [13.85 (3.69-51.97), p: <0.001 with adjusting]. In the case of good CPC (CPC 1 or 2) at discharge, the OR (95% CI) of the S→S pattern was the highest [96 (19.14-481.60), p: <0.001 by no correction] and [149.69 (19.51-1148.48), p: <0.001 with adjusting]. Conclusions The S→S group showed the highest correlation with survival to hospital admission, survival to hospital discharge, and good CPC (CPC 1 or 2) at discharge compared to the NS→NS group. Verifying changes in initial cardiac arrest rhythm and prehospital re-arrest (RA) rhythm patterns after prehospital ROSC can help us predict good survival outcomes in the OHCA setting.
Copyright © 2020, Shin et al.

Entities:  

Keywords:  advanced cardiac life support; cardiopulmonary resuscitation; out-of-hospital cardiac arrest; re-arrest rhythm

Year:  2020        PMID: 33437558      PMCID: PMC7793532          DOI: 10.7759/cureus.12019

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  14 in total

1.  The association between emergency medical services staffing patterns and out-of-hospital cardiac arrest survival.

Authors:  Nicholas M Eschmann; Ronald G Pirrallo; Tom P Aufderheide; E Brooke Lerner
Journal:  Prehosp Emerg Care       Date:  2010 Jan-Mar       Impact factor: 3.077

2.  Combined interventions may improve success when treating sudden cardiac arrest.

Authors:  Louis Gonzales; Jennifer Langlois; Chris Parker; Dana Yost
Journal:  Prehosp Emerg Care       Date:  2010 Apr-Jun       Impact factor: 3.077

3.  Rearrest after prehospital resuscitation.

Authors:  E Brooke Lerner; Michael O'Connell; Ronald G Pirrallo
Journal:  Prehosp Emerg Care       Date:  2010-11-05       Impact factor: 3.077

Review 4.  The epidemiology of out-of-hospital 'sudden' cardiac arrest.

Authors:  J Engdahl; M Holmberg; B W Karlson; R Luepker; J Herlitz
Journal:  Resuscitation       Date:  2002-03       Impact factor: 5.262

5.  Incidence and outcomes of rearrest following out-of-hospital cardiac arrest.

Authors:  David D Salcido; Matthew L Sundermann; Allison C Koller; James J Menegazzi
Journal:  Resuscitation       Date:  2014-10-23       Impact factor: 5.262

6.  Incidence, duration and survival of ventricular fibrillation in out-of-hospital cardiac arrest patients in sweden.

Authors:  M Holmberg; S Holmberg; J Herlitz
Journal:  Resuscitation       Date:  2000-03       Impact factor: 5.262

7.  Incidence of rearrest after return of spontaneous circulation in out-of-hospital cardiac arrest.

Authors:  David D Salcido; Amanda M Stephenson; Joseph P Condle; Clifton W Callaway; James J Menegazzi
Journal:  Prehosp Emerg Care       Date:  2010 Oct-Dec       Impact factor: 3.077

8.  Effect of crew size on objective measures of resuscitation for out-of-hospital cardiac arrest.

Authors:  Christian Martin-Gill; Francis X Guyette; Jon C Rittenberger
Journal:  Prehosp Emerg Care       Date:  2010 Apr-Jun       Impact factor: 3.077

Review 9.  Systematic review of the effectiveness of prehospital critical care following out-of-hospital cardiac arrest.

Authors:  Johannes von Vopelius-Feldt; Janet Brandling; Jonathan Benger
Journal:  Resuscitation       Date:  2017-02-27       Impact factor: 5.262

Review 10.  Effects of prehospital adrenaline administration on out-of-hospital cardiac arrest outcomes: a systematic review and meta-analysis.

Authors:  Pongsakorn Atiksawedparit; Sasivimol Rattanasiri; Mark McEvoy; Colin A Graham; Yuwares Sittichanbuncha; Ammarin Thakkinstian
Journal:  Crit Care       Date:  2014-07-31       Impact factor: 9.097

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