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Quantifying Importance of Major Risk Factors for Coronary Heart Disease
Michael J Pencina1, Ann Marie Navar1, Daniel Wojdyla1
1Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC (M.J.P., A.M.N., D.W., E.D.P.).
Insights
Controlling key coronary heart disease (CHD) risk factors like high blood pressure and cholesterol significantly reduces CHD events, even though they add modestly to prognostic models. Tailoring risk factor assessment is crucial for effective prevention strategies.
Area of Science:
- Cardiovascular Disease Research
- Preventive Medicine
- Epidemiology
Background:
- Optimizing coronary heart disease (CHD) prevention requires quantifying the impact of key risk factors.
- Modifiable risk factors include lipids, systolic blood pressure (SBP), diabetes mellitus, and smoking.
Purpose of the Study:
- To compare the associations of modifiable CHD risk factors with incident CHD events.
- To evaluate prognostic performance, attributable risk fractions, and treatment benefits by age.
Main Methods:
- Utilized pooled participant-level data from 4 National Heart, Lung, and Blood Institute observational cohort studies.
- Included 22,626 initially cardiovascular disease-free individuals aged 45-84, followed for 10 years.
- Employed proportional hazards regression to estimate model performance, hazard ratios, and population attributable fractions.
Main Results:
- Age, sex, and race explained 63-80% of prognostic performance; adding SBP, non-HDL-C, diabetes, or smoking yielded minor increases (C index 0.004-0.013).
- Population attributable fractions were 28% for SBP ≥130 mm Hg and 17% for non-HDL-C ≥130 mg/dL.
- Lowering SBP to <130 mm Hg or LDL-C by 30% could reduce 10-year CHD risk by 3.7% and 2.7%, respectively; risk reductions increase with age.
Conclusions:
- Individual modifiable CHD risk factors have modest prognostic impact but substantial population-level prevention potential.
- Controlling SBP and non-HDL-C can lead to significant reductions in total CHD events.
- Risk factor assessment metrics should align with specific research objectives for effective CHD prevention.
Background:
To optimize preventive strategies for coronary heart disease (CHD), it is essential to understand and appropriately quantify the contribution of its key risk factors. Our objective was to compare the associations of key modifiable CHD risk factors-specifically lipids, systolic blood pressure (SBP), diabetes mellitus, and smoking-with incident CHD events based on their prognostic performance, attributable risk fractions, and treatment benefits, overall and by age.
Methods:
Pooled participant-level data from 4 observational cohort studies sponsored by the National Heart, Lung, and Blood Institute were used to create a cohort of 22 626 individuals aged 45 to 84 years who were initially free of cardiovascular disease. Individuals were followed for 10 years from baseline evaluation for incident CHD. Proportional hazards regression was used to estimate metrics of prognostic model performance (likelihood ratio, C index, net reclassification, discrimination slope), hazard ratios, and population attributable fractions for SBP, non-high-density lipoprotein cholesterol (non-HDL-C), diabetes mellitus, and smoking. Expected absolute risk reductions for antihypertensive and lipid-lowering treatment were assessed.
Results:
Age, sex, and race capture 63% to 80% of the prognostic performance of cardiovascular risk models. In contrast, adding either SBP, non-HDL-C, diabetes mellitus, or smoking to a model with other risk factors increases the C index by only 0.004 to 0.013. However, primordial prevention could have a substantial effect as demonstrated by population attributable fractions of 28% for SBP≥130 mm Hg and 17% for non-HDL-C≥130 mg/dL. Similarly, lowering the SBP of all individuals to <130 mm Hg or lowering low-density lipoprotein cholesterol by 30% would be expected to lower a baseline 10-year CHD risk of 10.7% to 7.0 and 8.0, respectively (absolute risk reductions: 3.7% and 2.7%, respectively). Prognostic performance decreases with age (C indices for age groups 45-54, 55-64, 65-74, 75-84 are 0.75, 0.72, 0.66, and 0.62, respectively), whereas absolute risk reductions increase (SBP: 1.1%, 2.3%, 5.4%, 10.3%, respectively; non-HDL-C: 1.1%, 2.0%, 3.7%, 5.9%, respectively).
Conclusions:
Although individual modifiable CHD risk factors contribute only modestly to prognostic performance, our models indicate that eliminating or controlling these individual factors would lead to substantial reductions in total population CHD events. Metrics used to judge importance of risk factors should be tailored to the research objectives.
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