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P05 Pre-hospital delay in patients with suspected myocardial infarction: a prospective observational study in the russian federation
  1. K Bates1,2,
  2. A Kontsevaya3,
  3. N Bobrova4,
  4. D Leon4,
  5. M McKee1
  1. 1Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
  2. 2Department for Medical Statistics and Health Economics, Medical University Innsbruck, Schöpfstraße 41/1,Innsbruck, 6020
  3. 3Department of Non-Communicable Disease Epidemiology, National Research Center for Preventive Medicine, Moscow, Russian Federation
  4. 4Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK


Background Russia has one of the highest mortality rates from cardiovascular disease (CVD) in the world. For patients with acute myocardial infarction (AMI), longer pre-hospital delays are associated with increased complications and mortality. The aim of this study is to use multivariate analyses to identify risk factors for prolonged pre-hospital delay and its components (patient decision time delay and transport time delay) in the Russian Federation for AMI patients.

Methods A total of 1128 hospitalised patients with suspected AMI were recruited in a prospective observational study with a representative sample of suspected AMI patients from 16 hospitals in 13 regions of Russia, of theses 6 cases were excluded as they had an MI while already hospitalised, 243 cases were excluded due to missing date/time data. Data were collected from both patient questionnaires and clinical records. Pre-hospital delays analysed include total pre-hospital delay ≥2 hrs, patient decision time (≥ 1 hr) and transport time (≥1). Logistic regression models were used to identify patient (sociodemographic, socioeconomic, previous medical history), symptom and admission related predictors of increased delays.

Results The median total pre-hospital delay was 4.83 hrs (IQR 2.64–10.82), decision time 1.25 hrs (IQR 0.38–4.5), and transport time 2.03 hrs (IQR 1.23–4.5). No age differences were found across total, decision or transport related delay. The odds of admission within 2 hours from symptom onset (total prehospital delay) significantly decreased with poorer wealth status, indirect route to hospital and symptom onset between 12–6am. Additionally, taking aspirin was associated with lower odds of arriving within 2 hrs. Whilst symptom presentation and co-morbidity was not significantly associated with total delay, patients who thought their symptoms were due to a problem with their heart were more likely to reach the hospital within 2 hours (OR1.65, 95% CI 1.03–2.62). Odds of transport delay >1 hr were significantly greater for patients travelling indirectly but significantly lower for male patients. Symptom onset overnight was associated with increased transport time. Odds of decision time >1 hr were significantly greater among patients that did not attribute their symptoms to a heart problem and patients with symptoms stating overnight (12–6am). Sociodemographic, socioeconomic and comorbid status were not significantly associated with decision time.

Conclusion Pre-hospital delay in the Russian Federation is protracted, particularly when patients travel indirectly to their definitive health facility. Symptom characteristics (time of onset and attribution to heart) are important for all components of pre-hospital delay in the Russian Federation. The is initial evidence that male patients experience reduced transport times, but further analyses are required to understand why. Tractable areas for improvement exist; reducing patient decision time and increasing use of EMS.

  • Myocardial Infarction
  • Health Systems
  • Russia

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