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C-reactive protein and myocardial infarction
Pamela Sakkinen1, Robert D Abbott, J David Curb
1Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA.
Journal of Clinical Epidemiology
|May 15, 2002
Summary
C-reactive protein (CRP) predicts myocardial infarction (MI) risk in men. Elevated CRP levels were associated with increased MI odds, particularly in younger, healthier individuals, suggesting inflammation
Area of Science:
- Cardiovascular Disease Research
- Inflammation Biomarkers
Background:
- C-reactive protein (CRP) is a known predictor of cardiovascular disease.
- The differential impact of CRP on cardiovascular risk across various strata and follow-up durations requires further investigation.
Purpose of the Study:
- To evaluate the association between C-reactive protein (CRP) levels and the incidence of myocardial infarction (MI) over a 20-year follow-up period.
- To examine how this association varies based on cardiovascular risk factors and follow-up duration.
Main Methods:
- A case-control study design was employed within the Honolulu Heart Program.
- 369 myocardial infarction (MI) cases were compared with 1,348 control subjects, aged 48-70 years and initially free of disease.
- Statistical analyses were adjusted for cardiovascular risk factors.
Main Results:
- Increased C-reactive protein (CRP) levels were significantly associated with higher odds of myocardial infarction (MI) as early as 5 years post-measurement (P = 0.009).
- This association persisted over time, though effects diminished after 15 years.
- Elevated CRP showed a more pronounced adverse effect in younger men (≤55 years), non-smokers, and those without hypertension or diabetes.
Conclusions:
- In clinically healthy middle-aged men, elevated C-reactive protein (CRP) is linked to an increased risk of myocardial infarction (MI).
- Inflammation, as indicated by CRP, may play a crucial role in the early stages of atherosclerosis, potentially preceding other risk factors.
- The predictive value of CRP for MI risk is influenced by individual risk factor profiles and follow-up duration.