Pre-hospital delay in acute coronary syndromes: PREDICT CVD-18

N Z Med J. 2012 Jan 20;125(1348):12-22.

Abstract

Aims: To study pre-hospital delay, its components and determinants, in patients with acute coronary syndromes (ACS) admitted to Middlemore Hospital Coronary Care Unit.

Methods: Consecutive ACS patients admitted between January 2009 and July 2010 were included. Pre-hospital delay was defined as the time from onset of worst symptom(s) to defibrillator availability: either ambulance arrival at the scene or time of hospital arrival (non-ambulance patients).

Results: For 805 patients the median delay from symptom onset to defibrillator availability was 174 minutes. Half the cohort had a delay to defibrillator availability of >3 hours. The median delay was an hour longer for patients from areas of greatest deprivation compared with less deprived areas, [208 vs 149 min, respectively (p=0.015)], and 7 hours longer for non-ambulance vs ambulance patients, [553 vs 130 min (p<0.001)]. Māori, Pacific, Indian and those from areas of higher deprivation were less likely to travel to hospital by ambulance. Of ST-elevation myocardial infarction patients eligible for reperfusion, over two-thirds of the total delay between symptom onset and reperfusion occurred pre-hospital.

Conclusion: Community intervention targeted at more disadvantaged communities and higher risk ethnic groups should be considered as part of an overall strategy to reduce disparity and improve cardiac outcomes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Coronary Syndrome / ethnology
  • Acute Coronary Syndrome / mortality
  • Acute Coronary Syndrome / therapy*
  • Ambulances / statistics & numerical data
  • Chi-Square Distribution
  • Coronary Care Units
  • Defibrillators / statistics & numerical data
  • Emergency Medical Services / statistics & numerical data*
  • Female
  • Healthcare Disparities / statistics & numerical data*
  • Hospital Mortality
  • Humans
  • Male
  • Middle Aged
  • New Zealand
  • Outcome and Process Assessment, Health Care*
  • Patient Admission / statistics & numerical data*
  • Patient Transfer / statistics & numerical data*
  • Risk Factors
  • Time Factors