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.).

Circulation
|December 28, 2018
PubMed

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.
Abstract

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