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C-Reactive Protein, the Metabolic Syndrome, and Prediction of Cardiovascular Events in the Framingham Offspring Study
Abstract
Background— Inflammation (assessed by C-reactive protein [CRP]) and the metabolic syndrome (MetS) are associated with cardiovascular disease (CVD), but population-based data are limited. Methods and Results— We assessed the cross-sectional relations of CRP to the MetS (National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, Adult Treatment Panel III definition) in 3037 subjects (1681 women; mean age, 54 years) and the utility of CRP and the MetS to predict new CVD events (n=189) over 7 years. MetS (≥3 of 5 traits) was present in 24% of subjects; mean age-adjusted CRP levels for those with 0, 1, 2, 3, 4, or 5 MetS traits were 2.2, 3.5, 4.2, 6.0, or 6.6 mg/L, respectively ( P trend <0.0001). In persons with MetS, age-adjusted CRP levels were higher in women than men (7.8 versus 4.6 mg/L; P <0.0001). MetS and baseline CRP were individually related to CVD events (for MetS: age-sex-adjusted hazard ratio [HR], 2.1; 95% CI, 1.5 to 2.8; for highest versus lowest CRP quartile: HR, 2.2; 95% CI, 1.4 to 3.5). Greater risk of CVD persisted for MetS and CRP even after adjustment in a model including age, sex, MetS (HR, 1.8; 95% CI, 1.4 to 2.5), and CRP (HR, 1.9; 95% CI, 1.2 to 2.9). The c-statistic associated with the age- and sex-adjusted model including CRP was 0.72; including MetS, 0.74; and including CRP and MetS, 0.74. Conclusions— Elevated CRP levels are related to insulin resistance and the presence of the MetS, especially in women. Although discrimination of subjects at risk of CVD events using both MetS and CRP is not better than using either phenotype alone, both CRP and MetS are independent predictors of new CVD events.
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“The MS has been associated with incident CHD and CHD mortality, [5][6][7][8][9][10][11]”
From Diabetes, the Metabolic Syndrome, and Angiographic Progression of Coronary Arterial Disease in Postmenopausal Women (2006) · cites this paper as [10]
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Cites
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men
Lakka, H.-M. (2002) · JAMA · doi:10.1001/jama.288.21.2709 · Cited by 5,033
Yudkin, J. S., Stehouwer, C. D. A., Emeis, J. J., & Coppack, S. W. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.4.972 · Cited by 2,465
Chronic Subclinical Inflammation as Part of the Insulin Resistance Syndrome
Festa, A., D’Agostino, R., Howard, G., Mykkänen, L., Tracy, R. P., & Haffner, S. M. (2000) · Circulation · doi:10.1161/01.cir.102.1.42 · Cited by 2,366
Self-citationRidker, P. M., Buring, J. E., Cook, N. R., & Rifai, N. (2003) · Circulation · doi:10.1161/01.cir.0000055014.62083.05 · Cited by 2,292
Sattar, N., Gaw, A., Scherbakova, O., Ford, I., O’Reilly, D. S. J., Haffner, S. M., Isles, C., Macfarlane, P. W., Packard, C. J., Cobbe, S. M., et al. (2003) · Circulation · doi:10.1161/01.cir.0000080897.52664.94 · Cited by 1,506
Schmidt, M. I., Duncan, B. B., Sharrett, A. R., Lindberg, G., Savage, P. J., Offenbacher, S., Azambuja, M. I. R., Tracy, R. P., & HEISS, G. M. (1999) · The Lancet · doi:10.1016/s0140-6736(99)01046-6 · Cited by 1,080
Festa, A., D’Agostino, R., Tracy, R. P., & Haffner, S. M. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1131 · Cited by 1,057
Self-citationIs Type II diabetes mellitus a disease of the innate immune system?
Pickup, J. C., & Crook, M. A. (1998) · Diabetologia · doi:10.1007/s001250051058 · Cited by 1,042
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“However, previous studies have suggested that chronic inflammation, as indicated by elevated CRP concentration, might have a greater effect on the development of MetS in women than in men [3, 4].”
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Chiu, K. C. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.6.1666a
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Sajedianfard, J., Alivand, M., & Jokani, S. A. (2023) · Zahedan Journal of Research in Medical Sciences · doi:10.5812/zjrms-123783
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Camhi, S. M. (2008) · University Libraries (University of Maryland)
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Cao, M., Sun, P., Wang, X., & Zhao, M. (2026) · Metabolites · doi:10.3390/metabo16010088
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Metadata
- Authors
- Rutter, M. K., Meigs, J. B., Sullivan, L. M., D’Agostino, R. B., & Wilson, P. W. F.
- Affiliations
- Boston University (US)
- Venue
- Circulation
- Published
- 2004-07-27
- Volume
- 110
- Issue
- 4
- Pages
- 380-385
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W1983997573
- Cited by
- 664
- References
- 36
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 9 · 2023: 15 · 2022: 19 · 2021: 9 · 2020: 8 · 2019: 11 · 2018: 15 · 2017: 13 · 2016: 19 · 2015: 20 · 2014: 36 · 2013: 36 · 2012: 26
- FWCI
- 48.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1)
- National Heart, Lung, and Blood Institute (R01HL073272, N01‐HC25195, R01-HL 073272-01)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- C-reactive protein, metabolic syndrome, cardiovascular risk prediction, inflammation, insulin resistance, sex differences, Framingham Offspring Study, cardiovascular events, risk discrimination, cardiovascular risk in women, NCEP ATP III criteria, Framingham risk score, Framingham risk equation
- MeSH terms
- Adult, Aged, Aged, 80 and over, C-Reactive Protein, Cardiovascular Diseases, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Inflammation, Insulin Resistance, Male, Middle Aged, Predictive Value of Tests, Risk, Sex Factors, Cohort Studies, Metabolic Syndrome
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