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.
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.
Abstract:
Information on coronary heart disease (CHD) obtained from the Finnish Hospital Discharge and Cause-of-Death Registers was compared with that collected in the Helsinki Heart Study (HHS) during an 8.5-year follow-up. The purpose of the comparison was two-fold, firstly, to study the accuracy of registration of CHD and secondly, to find out what diagnostic codes to use for CHD in register-based follow-up studies. The HHS cases were used as the 'golden standard' and the CHD deaths and definite nonfatal acute myocardial infarctions (AMIs) (all diagnoses) were taken from the registers to establish the sensitivity of the Hospital Discharge and Cause-of-Death Registers combined. The sensitivity was 0.84 during the period 1980-86 and 0.87 during 1987-90, with the positive predictive values 0.94 and 0.92 respectively. The treatment effects seen in the HHS were compared with the effects that would have emerged, if register-based information only had been used with different definitions of CHD. Of the register-based calculations, the one with the definition 'all CHD deaths and hospitalizations with the ICD-8 code 410' came closest to the HHS result, with a 32% reduction (P=0.028 one-sided) of CHD incidence, while the original HHS result was a 34% reduction (P=0.008 one sided). However, when comparing Kaplan-Meier plots of cumulative hazards of CHD, the plot with a wider definition of CHD (ICD-8 and ICD-9 codes 410-414) came closest to the HHS experience, especially if revascularizations were included in the latter. Definite AMI as a single definition of CHD might thus not be sufficient when studying CHD risk, instead, at least two parallel definitions of CHD should be used.
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