Literature DB >> 9867885

Modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support/defibrillation system: OPALS Study Phase I results. Ontario Prehospital Advanced Life Support.

I G Stiell1, G A Wells, V J DeMaio, D W Spaite, B J Field, D P Munkley, M B Lyver, L G Luinstra, R Ward.   

Abstract

STUDY
OBJECTIVES: This study was conducted to identify modifiable factors associated with survival for prehospital cardiac arrest in a large, multicenter EMS system with basic life support/defibrillation (BLS-D) level of care.
METHODS: This observational cohort study constitutes Phase I of the 3-phase Ontario Prehospital Advanced Life Support (OPALS) Study. Included were all adults who had cardiac arrest before EMS arrival in 21 urban/suburban communities that operate under the jurisdiction of 1 ambulance services branch, have 911 telephone service, and provide ambulance defibrillation but no prehospital advanced life support (ALS). Central dispatch and ambulance records were reviewed according to the Utstein guidelines. Associations between multiple patient and EMS factors and survival to discharge were assessed by univariate then stepwise logistic regression analyses.
RESULTS: From January 1, 1991, to January 31, 1995, 5,335 eligible patients were treated. Of these, 46.8% of cardiac arrests were witnessed by citizens, 14.5% received bystander CPR, 25.6% received CPR by fire or police, and 38.2% had an initial rhythm of ventricular fibrillation/ventricular tachycardia (VF/VT). The mean interval from call received to vehicle stopped was 6.7 minutes. Survival was 3.5% overall and 8.8% for VF/VT. Multivariate analysis found the following factors to be independently associated with survival (odds ratio with 95% confidence intervals): age.81 (. 73,.89), bystander-witnessed arrest 4.05 (2.78, 5.90), bystander CPR 2.98 (2.07, 4.29), CPR by fire or police 2.20 (1.46, 3.31), and response interval call received to vehicle stopped.76 (.71,.82).
CONCLUSION: This represents the largest multicenter BLS-D study of prehospital cardiac arrest yet conducted and clearly indicates that patient survival may be improved by optimization of EMS response intervals, bystander CPR, as well as first-responder CPR by fire or police.

Entities:  

Mesh:

Year:  1999        PMID: 9867885     DOI: 10.1016/s0196-0644(99)70415-4

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  46 in total

1.  Automated external defibrillation: is survival only a shock away?

Authors:  B Schwartz; P R Verbeek
Journal:  CMAJ       Date:  2000-02-22       Impact factor: 8.262

Review 2.  [Position paper on "automated external defibrillation" ].

Authors:  H-J Trappe; D Andresen; H-R Arntz; H-J Becker; K Werdan
Journal:  Z Kardiol       Date:  2005-04

3.  [First responder defibrillation in the LAGO-die Therme--results and experiences].

Authors:  H-J Trappe; M Nesslinger; O M Schrage; H Wissuwa; H-J Becker
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2005-06

4.  [Position paper on "Automatic external defibrillation"].

Authors:  H-J Trappe; D Andresen; H-R Arntz; H-J Becker; K Werdan
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2005-06

Review 5.  Recent advances and controversies in adult cardiopulmonary resuscitation.

Authors:  Wanis H Ibrahim
Journal:  Postgrad Med J       Date:  2007-10       Impact factor: 2.401

6.  Rationale, development and implementation of the Resuscitation Outcomes Consortium Epistry-Cardiac Arrest.

Authors:  Laurie J Morrison; Graham Nichol; Thomas D Rea; Jim Christenson; Clifton W Callaway; Shannon Stephens; Ronald G Pirrallo; Dianne L Atkins; Daniel P Davis; Ahamed H Idris; Craig Newgard
Journal:  Resuscitation       Date:  2008-05-13       Impact factor: 5.262

7.  Factors associated with survival to hospital discharge among patients hospitalised alive after out of hospital cardiac arrest: change in outcome over 20 years in the community of Göteborg, Sweden.

Authors:  J Herlitz; A Bång; J Gunnarsson; J Engdahl; B W Karlson; J Lindqvist; L Waagstein
Journal:  Heart       Date:  2003-01       Impact factor: 5.994

Review 8.  The Pan-Asian Resuscitation Outcomes Study (PAROS) clinical research network: what, where, why and how.

Authors:  Nausheen Edwin Doctor; Nur Shahidah Binte Ahmad; Pin Pin Pek; Susan Yap; Marcus Eng Hock Ong
Journal:  Singapore Med J       Date:  2017-07       Impact factor: 1.858

9.  Probabilistic Linkage of Prehospital and Outcomes Data in Out-of-hospital Cardiac Arrest.

Authors:  Bryn E Mumma; Deborah B Diercks; Beate Danielsen; James F Holmes
Journal:  Prehosp Emerg Care       Date:  2014-12-12       Impact factor: 3.077

10.  Using genetic algorithms to optimise current and future health planning--the example of ambulance locations.

Authors:  Satoshi Sasaki; Alexis J Comber; Hiroshi Suzuki; Chris Brunsdon
Journal:  Int J Health Geogr       Date:  2010-01-28       Impact factor: 3.918

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