How to define coronary heart disease in register-based follow-up studies: experience from the Helsinki Heart Study

K Pietilä1, L Tenkanen, M Mänttäri

  • 1School of Public Health, University of Tampere, Finland.

Annals of Medicine
|June 1, 1997
PubMed

Insights

Register data accurately captures coronary heart disease (CHD) events. Using multiple diagnostic codes, like ICD-8 and ICD-9, improves accuracy in register-based studies for coronary heart disease research.

Area of Science:

  • Cardiovascular Epidemiology
  • Public Health Surveillance

Background:

  • Coronary heart disease (CHD) research relies on accurate data collection.
  • Finnish Hospital Discharge and Cause-of-Death Registers are key data sources.
  • The Helsinki Heart Study (HHS) provides a benchmark for CHD data accuracy.

Purpose of the Study:

  • To assess the accuracy of CHD registration in Finnish health registers.
  • To identify optimal diagnostic codes for CHD in register-based follow-up studies.
  • To compare treatment effects derived from register data versus study data.

Main Methods:

  • Comparison of CHD data from Finnish registers (Hospital Discharge, Cause-of-Death) with HHS data.
  • Calculation of sensitivity and positive predictive values for register data.
  • Analysis of treatment effects using different CHD definitions in register data.
  • Utilized International Classification of Diseases, Eighth Revision (ICD-8) and Ninth Revision (ICD-9) codes.

Main Results:

  • High sensitivity (0.84-0.87) and positive predictive values (0.92-0.94) for CHD registration.
  • Register-based CHD incidence reduction estimates closely matched HHS results with specific code definitions (e.g., ICD-8 code 410).
  • A broader definition of CHD (ICD-8/ICD-9 codes 410-414), including revascularizations, best approximated HHS findings.

Conclusions:

  • Finnish health registers demonstrate good accuracy for capturing coronary heart disease events.
  • Using a single definition like acute myocardial infarction (AMI) may be insufficient for CHD risk studies.
  • Employing multiple, parallel CHD definitions in register-based research is recommended for enhanced validity.

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