Cited by 368Lipoproteins and Cardiovascular HealthInflammatory Biomarkers in Disease PrognosisCardiovascular Health and Risk Factors

C-Reactive Protein and the 10-Year Incidence of Coronary Heart Disease in Older Men and Women: The Cardiovascular Health Study

Cushman, Mary, Arnold, Alice M., Psaty, Bruce M., Manolio, Teri A., Kuller, Lewis H., Burke, Gregory L., Polak, Joseph F., Tracy, Russell P.·2005·Circulation

Abstract

Background— High C-reactive protein (CRP) is associated with increased coronary heart disease risk. Few long-term data in the elderly are available. Methods and Results— Baseline CRP was measured in 3971 men and women ≥65 years of age without prior vascular diseases; 26% had elevated concentrations (>3 mg/L). With 10 years of follow-up, 547 participants developed coronary heart disease (CHD; defined as myocardial infarction or coronary death). With elevated CRP, the 10-year cumulative CHD incidences were 33% in men and 17% in women. The age-, ethnicity-, and sex-adjusted relative risk of CHD for CRP >3 mg/L compared with <1 mg/L was 1.82 (95% CI, 1.46 to 2.28). Adjusting for conventional risk factors reduced the relative risk to 1.45 (95% CI, 1.14 to 1.86). The population-attributable risk of CHD for elevated CRP was 11%. Risk relationships did not differ in subgroups defined by baseline risk factors. We assessed whether CRP improved prediction by the Framingham Risk Score. Among men with a 10-year Framingham-predicted risk of 10% to 20%, the observed CHD incidence was 32% for elevated CRP. Among women, CRP discriminated best among those with a 10-year predicted risk >20%; the incidences were 31% and 10% for elevated and normal CRP levels, respectively. Conclusions— In older men and women, elevated CRP was associated with increased 10-year risk of CHD, regardless of the presence or absence of cardiac risk factors. A single CRP measurement provided information beyond conventional risk assessment, especially in intermediate-Framingham-risk men and high-Framingham-risk women.

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Crossref · 10.1161/circulationaha.104.504159

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  • High blood levels of high-sensitivity CRP and IL-6 predict cardiovascular disease risk in middle-aged and older adults, independent of other CVD risk factors.

    “longitudinal studies demonstrate that high blood levels of pro-inflammatory markers, including high-sensitivity CRP assay and IL-6, predict the risk of cardiovascular disease in both middle-aged and older adults, independent of other CVD risk factors”

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Authors
Cushman, M., Arnold, A. M., Psaty, B. M., Manolio, T. A., Kuller, L. H., Burke, G. L., Polak, J. F., & Tracy, R. P.
Affiliations
University of Vermont (US)
Venue
Circulation
Published
2005-07-05
Volume
112
Issue
1
Pages
25-31
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2063058274
Cited by
368
References
40
Citations by year
2026: 3 · 2025: 10 · 2024: 13 · 2023: 5 · 2022: 11 · 2021: 16 · 2020: 11 · 2019: 8 · 2018: 12 · 2017: 9 · 2016: 11 · 2015: 15 · 2014: 18 · 2013: 16 · 2012: 19
FWCI
34.87
Type
journal article
Language
en
Open access
closed
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (n01hc085079-024, n01hc015103-009, 5k08hl003618-05, n01hc085086-022, n01hc035129-010, N01HC85086, N01HC85079, N01HC-35129)
  • National Heart, Lung, and Blood Institute (R01HL046696, N01HC15103, HL03618, N01 HC85086, HL46696, HL-8329, N01-HC85079, N01HC35129)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
C-reactive protein, coronary artery disease, myocardial infarction, coronary death, older adults, cardiovascular risk prediction, Framingham risk score, population attributable risk, sex differences
MeSH terms
Age Factors, Aged, Aged, 80 and over, C-Reactive Protein, Coronary Disease, Female, Humans, Inflammation, Male, Myocardial Infarction, Predictive Value of Tests, Risk Factors, Biomarkers, Incidence

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