Spatial Variation and Resuscitation Process Affecting Survival after Out-of-Hospital Cardiac Arrests (OHCA)

PLoS One. 2015 Dec 14;10(12):e0144882. doi: 10.1371/journal.pone.0144882. eCollection 2015.

Abstract

Background: Ambulance response times and resuscitation efforts are critical predictors of the survival rate after out-of-hospital cardiac arrests (OHCA). On the other hand, rural-urban differences in the OHCA survival rates are an important public health issue.

Methods: We retrospectively reviewed the January 2011-December 2013 OHCA registry data of Kaohsiung City, Taiwan. With particular focus on geospatial variables, we aimed to unveil risk factors predicting the overall OHCA survival until hospital admission. Spatial analysis, network analysis, and the Kriging method by using geographic information systems were applied to analyze spatial variations and calculate the transport distance. Logistic regression was used to identify the risk factors for OHCA survival.

Results: Among the 4,957 patients, the overall OHCA survival to hospital admission was 16.5%. In the multivariate analysis, female sex (adjusted odds ratio:, AOR, 1.24 [1.06-1.45]), events in public areas (AOR: 1.30 [1.05-1.61]), exposure to automated external defibrillator (AED) shock (AOR: 1.70 [1.30-2.23]), use of laryngeal mask airway (LMA) (AOR: 1.35 [1.16-1.58]), non-trauma patients (AOR: 1.41 [1.04-1.90]), ambulance bypassed the closest hospital (AOR: 1.28 [1.07-1.53]), and OHCA within the high population density areas (AOR: 1.89 [1.55-2.32]) were positively associated with improved OHCA survival. By contrast, a prolonged total emergency medical services (EMS) time interval was negatively associated with OHCA survival (AOR: 0.98 [0.96-0.99]).

Conclusions: Resuscitative efforts, such as AED or LMA use, and a short total EMS time interval improved OHCA outcomes in emergency departments. The spatial heterogeneity of emergency medical resources between rural and urban areas might affect survival rate.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cardiopulmonary Resuscitation*
  • Cohort Studies
  • Emergency Medical Services
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Out-of-Hospital Cardiac Arrest / epidemiology*
  • Out-of-Hospital Cardiac Arrest / mortality
  • Out-of-Hospital Cardiac Arrest / therapy
  • Retrospective Studies
  • Risk Factors
  • Survival Rate
  • Taiwan / epidemiology

Grants and funding

This research was mainly supported by the internal research project named "Multidisciplinary Health Cloud Research Program: Technology Development and Application of Big Health Data" funded by Academia Sinica and also partially supported by a research grant from the Ministry of Science and Technology (grants no. MOST-103-2627-M-001-006). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.