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Coronary risk factors predicting early and late coronary deaths
Insights
A single measurement of coronary heart disease (CHD) risk factors in middle-aged men showed a consistent association with CHD deaths over 35 years. This indicates that initial risk factor levels predict long-term CHD event risk.
Area of Science:
- Cardiovascular epidemiology
- Preventive cardiology
Background:
- Coronary heart disease (CHD) remains a leading cause of mortality worldwide.
- Understanding the long-term predictive power of initial risk factor measurements is crucial for effective prevention strategies.
Purpose of the Study:
- To investigate the time-dependent association between baseline coronary risk factors and CHD mortality in middle-aged men.
- To determine if a single measurement of risk factors can predict CHD deaths over an extended follow-up period.
Main Methods:
- A cohort of 1622 CHD-free men (aged 40-59) from the Italian rural cohorts of the Seven Countries Study was analyzed.
- Baseline measurements included age, systolic blood pressure, serum total cholesterol, physical activity, body mass index, and smoking status.
- Seven partitioned proportional hazards models were used to assess risk over 35 years of follow-up, with 214 CHD deaths recorded.
Main Results:
- Hazard functions revealed a consistent, monotonic relationship between increasing age, serum cholesterol, systolic blood pressure, and smoking with CHD death risk.
- Physical activity showed a consistently decreasing risk trend for CHD mortality.
- The strong correlations (0.92-0.97) indicate stable associations between initial risk factor levels and long-term CHD event prediction, irrespective of later changes.
Conclusions:
- A single assessment of key coronary risk factors in middle-aged men provides a reliable and stable prediction of CHD death risk over 35 years.
- These findings support the long-term validity of using baseline risk factor data for cardiovascular risk assessment and management.
Objective:
To study the time related association of a single measurement of coronary risk factors with coronary heart disease (CHD) deaths occurring during a very long follow up period in a population sample of middle aged men.
Design, Setting, And Methods:
Age, systolic blood pressure, serum total cholesterol, physical activity at work, body mass index, and cigarette smoking were measured once in 1622 CHD-free men aged 40-59 belonging to the Italian rural cohorts of the seven countries study. During 35 years of follow up 214 men died from CHD (sudden death and definite myocardial infarction). Seven partitioned proportional hazards models were solved, one for each independent five year block of follow up, to predict the risk of CHD death.
Results:
The seven, five year partitioned hazard functions were cumulated and smoothed for each risk factor. The resulting curves showed a regularly increasing time trend in risk for coronary deaths as a function of age, serum cholesterol, systolic blood pressure, and cigarette smoking and a regularly decreasing risk for physical activity. The curves fit straight lines, with large squared correlation coefficients ranging from 0.92-0.97. This suggests a relatively constant strength in the association of risk factor levels with events, which are predicted whatever the length of time after risk factors were measured. These findings were not altered by adding to the models risk factor changes preceding the quinquennium of death.
Conclusion:
A single measurement of some coronary risk factors in middle aged men maintains a regular and almost monotonic relation with the occurrence of CHD deaths during 35 years of follow up.