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Atherosclerosis and mortality statistics

Artery
|January 1, 1980
PubMed

Insights

This study validates World Health Organization (WHO) mortality statistics by comparing autopsy data from Vienna hospitals. Findings show higher atherosclerosis rates and a greater percentage of coronary heart disease (CHD) with multicausal evaluation.

Area of Science:

  • Medical Statistics
  • Public Health
  • Pathology

Background:

  • World Health Organization (WHO) mortality statistics face global criticism due to limitations in the International Classification of Diseases (ICD) coding, monocausal evaluations, and data inhomogeneity.
  • Despite these criticisms, WHO statistics remain the sole method for comparing mortality rates across different regions.
  • The reliability of these statistics is often questioned due to incomplete verification through post-mortem examinations.

Purpose of the Study:

  • To assess the reliability of WHO mortality statistics by conducting a comprehensive analysis of death cases in Vienna hospitals.
  • To compare findings from a high-autopsy-rate study with official Austrian mortality data.
  • To highlight the importance of multicausal evaluation and electronic data processing in mortality statistics.

Main Methods:

  • Collected data from over 15,000 death cases (approximately 60% of total deaths) in 9 Vienna hospitals during 1976.
  • Achieved an autopsy rate of approximately 70% for the studied cases.
  • Utilized a computer system for data processing and analysis to manage the large dataset.

Main Results:

  • The study found a higher overall rate of atherosclerosis compared to official Austrian statistics, attributed to multicausal evaluation.
  • A significantly higher percentage of coronary heart disease (CHD) was identified in the Vienna study cohort.
  • A lower percentage of cerebral atherosclerosis was observed compared to official figures when autopsies were performed.

Conclusions:

  • Mortality statistics based on a high autopsy rate and multicausal evaluation, supported by electronic data processing, offer a more accurate representation of disease prevalence.
  • The study underscores the limitations of monocausal evaluations and highlights the need for comprehensive data verification in mortality statistics.
  • Findings suggest that official statistics may underestimate the prevalence of certain conditions like atherosclerosis and CHD.

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