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Incidence, delay and survival in the Belfast MONICA Project coronary event register

A E Evans1, C C Patterson, Z Mathewson

  • 1Belfast MONICA Project, Department of Community Medicine & Medical Statistics, Queen's University of Belfast, Northern Ireland.

Revue D'Epidemiologie Et De Sante Publique
|January 1, 1990
PubMed

Insights

The Belfast MONICA Project found that coronary event rates and mortality were age-dependent, with significant variations across electoral wards. Delays in receiving care impacted outcomes, especially for unmarried individuals and those with chronic ischemic heart disease.

Area of Science:

  • Cardiovascular epidemiology
  • Public health research

Background:

  • The Belfast MONICA Project monitored coronary events between 1983-1985.
  • The study included 2,512 individuals, with a focus on men and women.

Purpose of the Study:

  • To analyze coronary event attack and mortality rates.
  • To investigate factors influencing delay times for medical care.
  • To assess survival rates and risk factors for pre-care death.

Main Methods:

  • Population-based cohort study.
  • Registration of coronary events and mortality data.
  • Analysis of age- and sex-standardized rates across electoral wards.
  • Assessment of delay times from symptom onset to care delivery.

Main Results:

  • Coronary attack and mortality rates were significantly age-dependent, with higher rates in men.
  • Median delay times to care were 2.5 hours for men and 3 hours for women.
  • Shorter delays were observed in younger, married individuals, and those with prior infarctions.
  • Unmarried individuals and those with chronic ischemic heart disease faced higher risks of pre-care death.
  • 60% of 28-day deaths occurred before hospital admission.
  • 28-day survival was 64% for males and 67% for females, with manual workers showing poorer survival.

Conclusions:

  • Coronary event risk and outcomes are influenced by age, sex, and socioeconomic factors.
  • Timely access to care is crucial for reducing mortality.
  • Marital status and pre-existing conditions are significant predictors of survival.

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