Inflammatory Markers and Onset of Cardiovascular Events: Results From the Health ABC Study
Open accessAbstract
Background— Inflammation plays an important role in cardiovascular disease. The aim of this study is to investigate the predictive value of several inflammatory markers on the incidence of cardiovascular events in well-functioning older persons. Methods and Results— The subjects were 2225 participants 70 to 79 years old, without baseline cardiovascular disease, who were enrolled in the Health, Aging, and Body Composition study. Incident coronary heart disease (CHD), stroke, and congestive heart failure (CHF) events were detected during an average follow-up of 3.6 years. Blood levels of interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor-α (TNF-α) were assessed. After adjustment for potential confounders, IL-6 was significantly associated with all outcomes (CHD events, per IL-6 SD increase: RR, 1.27; 95% CI, 1.10 to 1.48; stroke events, per IL-6 SD increase: RR, 1.45; 95% CI, 1.12 to 1.86; CHF events, per IL-6 SD increase: RR, 1.72; 95% CI, 1.40 to 2.12). TNF-α showed significant associations with CHD (per TNF-α SD increase: RR, 1.22; 95% CI, 1.04 to 1.43) and CHF (per TNF-α SD increase: RR, 1.59; 95% CI, 1.30 to 1.95) events. CRP was significantly associated with CHF events (per CRP SD increase: RR, 1.48; 95% CI, 1.23 to 1.78). A composite summary indicator of inflammation showed a strong association with incident cardiovascular events, with an especially high risk if all 3 inflammatory markers were in the highest tertile. Conclusions— Findings suggest that inflammatory markers are independent predictors of cardiovascular events in older persons.
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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”
From Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty (2018) · cites this paper as [160]
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- Authors
- Cesari, M., Penninx, B. W. J. H., Newman, A. B., Kritchevsky, S. B., Nicklas, B. J., Sutton-Tyrrell, K., Rubin, S. M., Ding, J., Simonsick, E. M., Harris, T. B., & Pahor, M.
- Affiliations
- National Institutes of Health (US)
- ORCID
- Venue
- Circulation
- Published
- 2003-11-11
- Volume
- 108
- Issue
- 19
- Pages
- 2317-2322
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2615584519
- Cited by
- 978
- References
- 31
- Citations by year
- 2026: 18 · 2025: 33 · 2024: 28 · 2023: 29 · 2022: 32 · 2021: 35 · 2020: 35 · 2019: 34 · 2018: 36 · 2017: 36 · 2016: 42 · 2015: 43 · 2014: 60 · 2013: 48 · 2012: 49
- FWCI
- 19.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Funders
- American Heart Association
- Wake Forest University
- Ministero dell'Università e della Ricerca
- National Institute on Aging (N01AG62106, N01-AG-6-2102, N01-AG-62103, P30AG021332)
- Topics
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- inflammatory markers, cardiovascular events, older adults, coronary artery disease, stroke, congestive heart failure, interleukin-6, C-reactive protein, TNF-α, inflammation, incidence forecasting, Health, Aging, and Body Composition Study
- MeSH terms
- Aged, C-Reactive Protein, Cardiovascular Diseases, Female, Follow-Up Studies, Humans, Inflammation, Male, Predictive Value of Tests, Prospective Studies, Risk Factors, Tumor Necrosis Factor-alpha, Biomarkers, Interleukin-6, Incidence
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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