Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 2003;108:161-165
Published online before print June 30, 2003, doi: 10.1161/01.CIR.0000080289.72166.CF
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
108/2/161    most recent
01.CIR.0000080289.72166.CFv1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Albert, M. A.
Right arrow Articles by Ridker, P. M
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Albert, M. A.
Right arrow Articles by Ridker, P. M
Right arrowPubmed/NCBI databases
*Gene*GEO Profiles
*HomoloGene*UniGene
*Substance via MeSH
Related Collections
Right arrow Risk Factors
Right arrow Epidemiology

(Circulation. 2003;108:161.)
© 2003 American Heart Association, Inc.


Clinical Investigation and Reports

Plasma Concentration of C-Reactive Protein and the Calculated Framingham Coronary Heart Disease Risk Score

Michelle A. Albert, MD, MPH; Robert J. Glynn, PhD; Paul M Ridker, MD, MPH

From the Center for Cardiovascular Disease Prevention and the Leducq Center for Cardiovascular Research, Divisions of Cardiovascular Diseases and of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Mass.

Correspondence to Dr Michelle A. Albert, Cardiovascular Division, Brigham and Women’s Hospital, 75 Francis St, Boston, MA 02115. E-mail maalbert{at}partners.org

Received January 31, 2003; revision received April 10, 2003; accepted April 11, 2003.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
Background— Although C-reactive protein (CRP) predicts vascular risk, few data are available evaluating the relation between CRP and the Framingham Coronary Heart Disease Risk Score (FCRS).

Methods and Results— CRP levels were compared with calculated 10-year FCRS in a cross-sectional survey of 1666 individuals free of cardiovascular disease. Among men and women not using hormone replacement therapy (HRT), CRP levels were significantly related to 10-year Framingham Coronary Heart Disease Risk categories [total cholesterol (TC) score for men and women: r=0.29 and r=0.22, respectively; LDL cholesterol score for men and women: r=0.29 and r=0.22, respectively, all probability values <0.01]. However, CRP levels correlated minimally with individual components of the FCRS, which included age (rmen=0.17, rwomen=-0.003), TC (rmen=-0.02, rwomen=-0.006), HDL-C (rmen=0.13), LDL-C (rmen=-0.0002, rwomen=0.012), blood pressure (rmen=0.18, rwomen=0.22), diabetes (rmen=0.10, rwomen=0.07), and smoking (rmen=0.16, rwomen=0.14) status. For women taking HRT, no significant relation was observed between CRP and the FCRS, although the power to detect effects in this subgroup is limited.

Conclusions— Our data demonstrate that CRP levels significantly correlate with calculated 10-year Framingham Coronary Heart Disease Risk in men and women not taking HRT but correlate minimally with most individual components of the FCRS. These data provide additional support for continued evaluation of CRP as a potential adjunct in the global prediction of cardiovascular risk.


Key Words: prevention • inflammation • risk factors


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
The Framingham Coronary Heart Disease Risk Score (FCRS) is a simplified coronary prediction tool developed to enable clinicians to estimate cardiovascular risk in middle-aged individuals.1,2 Although it is an important clinical tool, it is recognized that not all persons at high coronary heart disease risk are identified by the FCRS. For example, recent evidence indicates that the c statistic for the area under the receiver operator characteristic curve associated with the FCRS varies between 0.63 to 0.83 in different populations.3 In an effort to improve coronary heart disease risk prediction, several novel cardiovascular risk markers have been evaluated as potential adjuncts to lipid screening in primary prevention. Of these, C-reactive protein (CRP), a marker of low-grade inflammation, has been extensively studied in several large, prospective, epidemiological studies.4–7 However, few data are available directly comparing CRP levels with calculated FCRS. Although both CRP and the FCRS each predict vascular risk, the extent to which CRP reflects any individual component of the FCRS is unclear.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
We measured CRP levels and calculated the FCRS among 932 men and 734 women participating in the primary prevention arm of the Pravastatin Inflammation/CRP Evaluation (PRINCE) Study,8,9 a multicenter, community-based study of the effect of 40 mg pravastatin or placebo on CRP levels over a 6-month follow-up period. At study entry, in addition to providing a blood sample for CRP and lipid evaluation, 1666 of a total of 1702 participants provided data on age, gender, smoking status, and diabetes history. Data on weight, height, and blood pressure were measured by the participant’s physician at study entry. None of the participants had a history of myocardial infarction, stroke, or coronary revascularization. Participants all provided written informed consent, and all procedures followed were in accordance with institutional guidelines.

Plasma samples were assayed for CRP by using a clinically validated high-sensitivity assay10; total cholesterol, HDL cholesterol, and LDL cholesterol levels were determined in a Centers for Disease Control and Prevention standardized laboratory. Framingham Coronary Heart Disease risk was calculated by using previously published algorithms that used baseline cardiac risk factors including age, HDL cholesterol, LDL cholesterol, total cholesterol, smoking status, blood pressure, and diabetes history.2

To assess the relation between CRP and individual components of the FCRS, we first calculated the scores corresponding to the individual components of the FCRS as well as the total score. Next, Pearson correlation coefficients relating these individual risk factor scores and the total score to the natural log of baseline CRP levels were calculated. Additionally, biserial correlation coefficients were computed for diabetic and smoking status because both of these variables are binary. The components of the FCRS were also divided into different categories, and median CRP levels were calculated and plotted per category.

The FCRS was also divided into 5 clinically meaningful categories to reflect increasing 10-year coronary heart disease risk. Median CRP levels were then computed for each coronary heart disease risk category. Separate FCRS calculations were performed for total cholesterol and LDL cholesterol and for men and women. Additionally, as CRP levels are known to be elevated by estrogen therapy use,11,12 we performed stratified analyses for women on this basis. To assess the relation between increasing Framingham Coronary Heart Disease risk categories and median CRP levels, a linear regression analysis was performed. All probability values are 2 tailed.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowAppendix
down arrowReferences
 
The baseline characteristics of the study participants are shown in Table 1. Compared with men, women were older (59.0 versus 53.0 years), more likely to have diabetes (12.3% versus 9.3%), and had higher total cholesterol (235.0 versus 222.5 mg/dL), HDL cholesterol (43.4 versus 35.8 mg/dL), and LDL cholesterol levels (143.6 versus 139.4 mg/dL). As expected, median CRP levels were significantly higher among women (2.90 mg/L; interquartile range, 1.30 to 5.80 mg/L) than among men (median CRP=1.50 mg/L; interquartile range, 0.80 to 3.20 mg/L), an effect largely the result of HRT use. Specifically, those women who reported current estrogen therapy use (HRT) had higher baseline CRP levels (median=3.80 mg/L; interquartile range, 2.00 to 6.80 mg/L) than those women who were not taking HRT (median=2.40 mg/L; interquartile range, 1.10 to 5.00 mg/L).


View this table:
[in this window]
[in a new window]
 
TABLE 1. Baseline Characteristics of Study Participants

We found a modest correlation between CRP levels and the FCRS in men and women not taking HRT by using both the total cholesterol (rmen=0.29, P<0.01; rwomen=0.22, P<0.01) and LDL cholesterol (rmen=0.29, P<0.01; rwomen=0.22, P<0.01) scoring algorithms. As shown in Table 2, although we also noted modest associations between CRP and HDL cholesterol (r=0.24, P<0.01) and blood pressure scores (r=0.22, P<0.01) in women not taking HRT, we found minimal additional evidence of association between CRP levels and the individual components of the FCRS. For example, in men and women taking HRT, CRP had the largest correlation with baseline blood pressure (rmen=0.18, rwomen=0.13). Furthermore, except for the relation between smoking and CRP among men, biserial correlation coefficients assessing the relation between diabetic status and CRP (rmen=0.11, rwomen hrt=0.11, rwomen no hrt=0.08) as well as between smoking status and CRP (rmen=0.22, rwomen hrt=-0.004, rwomen no hrt=0.14) were almost identical to the corresponding Pearson correlation coefficients noted in Table 2. Likewise, plots showing median CRP levels versus individual components of the FCRS among men and women not taking HRT also demonstrate minimal association between CRP levels and the components of the FCRS (Figures 1 and 2Down). Specifically, among men, plots of HDL-C and CRP demonstrate a small decrease in median CRP levels with increasing HDL-C levels, whereas there is small increase in CRP concentrations at the highest levels of systolic blood pressure (Figure 1). Plots for women not taking HRT demonstrate similar findings (Figure 2).


View this table:
[in this window]
[in a new window]
 
TABLE 2. Pearson Correlation Coefficients Relating Baseline C-Reactive Protein to Individual Components of the Framingham Coronary Risk Score



View larger version (28K):
[in this window]
[in a new window]
 
Figure 1. Comparison of components of the FCRS with CRP in the PRINCE Primary Prevention Cohort: Men.



View larger version (25K):
[in this window]
[in a new window]
 
Figure 2. Comparison of components of the FCRS with CRP in the PRINCE Primary Prevention Cohort: Female non-HRT users.

Figure 3 shows that median CRP levels increased in men with each increasing calculated Framingham 10-year coronary risk category. This significant positive trend between increasing CRP levels and progressively higher FCRS was noted with the use of both the total cholesterol (Ptrend<0.01) and LDL cholesterol (Ptrend<0.01) scoring algorithms. A similar pattern was observed for women, but this effect was attenuated in magnitude as the result of an apparent modification effect by HRT use. As shown in Figure 4 (top), among women not taking HRT, the relation between CRP and FCRS was similar to that noted in men (Ptrend<0.01). By contrast, among HRT users where as reported, CRP levels were higher, the relation between CRP and FCRS was not statistically significant (total cholesterol score computation, Ptrend=0.18; LDL cholesterol score computation, Ptrend=0.28; Figure 4, bottom).



View larger version (23K):
[in this window]
[in a new window]
 
Figure 3. Comparison of Framingham Coronary Heart Disease Risk with CRP in the PRINCE Primary Prevention Cohort: Men.



View larger version (30K):
[in this window]
[in a new window]
 
Figure 4. Top, Comparison of Framingham Coronary Heart Disease Risk with CRP in the PRINCE Primary Prevention Cohort: Female non-HRT users. Bottom, Comparison of Framingham Coronary Heart Disease Risk with CRP in the PRINCE Primary Prevention Cohort: Female HRT users.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowAppendix
down arrowReferences
 
These cross-sectional data indicate that plasma concentration of CRP is significantly associated with calculated FCRS among middle-aged men and women not taking HRT. Overall, individuals in the lowest cardiovascular risk category had CRP levels that were at least half those of individuals in the highest CHD risk category. However, despite this positive association, CRP levels correlated minimally with most individual components of the FCRS.

The dichotomy observed in our data is intriguing and suggests that whereas CRP is related to the FCRS, CRP and the individual components of the FCRS might be reflecting different aspects of cardiovascular risk. In support of this hypothesis are previous data from several large prospective cohorts5–7,13,14 that indicate that CRP predicts risk of incident cardiovascular events, even after adjustment for other traditional risk factors. Furthermore, recent data from the Women’s Health Study (WHS) Cohort15 demonstrate that after adjustment for all components of the FCRS, CRP remained an independent predictor of future cardiovascular risk. Therefore, the current data are consistent with the hypothesis that the addition of CRP to the FCRS might be useful in the context of overall cardiovascular risk determination.

As previously described,11,12 we also observed in our women that median CRP levels were twice as high in HRT users as compared with non-HRT users. Our data extend this observation by further demonstrating a discordance between CRP and FCRS in women taking HRT. The underlying mechanism for this effect modification by HRT is uncertain but may relate to first-pass effects of HRT on hepatic CRP production.16 These issues have clinical importance and require evaluation in experimental settings.

These data are also important because they have implications for the design of future trials of statin therapy in the primary prevention of cardiovascular disease. Previous data demonstrate that by lowering LDL levels, HMG CoA reductase inhibitors decrease the risk of future cardiovascular events.17,18 However, traditional LDL screening, a critical component of the FCRS, misses many individuals in primary prevention who are at high risk for coronary events. Because statins lower CRP levels in an LDL-independent manner,9,14,19 CRP screening in conjunction with lipid screening might help identify those individuals who may benefit from prophylactic statin therapy. For example, in AFCAPS/TexCAPS (Air Force/Texas Coronary Atherosclerosis Prevention Study), individuals with below-median LDL and above-median CRP levels had a similar risk of future vascular events as did those with overt hyperlipidemia.14 In addition, lovastatin was as effective in decreasing cardiovascular event rates among individuals in the below-median LDL/above-median CRP group as it was in participants with above-median LDL levels. Furthermore, assessment of the ability of CRP and LDL-C to predict cardiovascular risk in the WHS cohort revealed that CRP was a better predictor than LDL-C in risk prediction.15 On the basis of these data, we have initiated a large-scale primary prevention trial of statin therapy among patients with low LDL but high CRP to directly test this hypothesis.20 As shown in the current analysis, such a study must include large numbers of women and detailed knowledge of HRT status at study initiation and during follow-up.

In summary, in this cross-sectional survey, whereas CRP levels were significantly associated with the level of coronary heart disease risk as calculated by the FCRS in men and women not taking HRT, CRP levels correlated only minimally with most individual components of the FCRS. These data imply that CRP may capture different components than the traditional components of coronary risk reflected in the FCRS and support the hypothesis that CRP may have an adjunctive role in the global risk prediction of cardiovascular disease.4


*    Appendix
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*Appendix
down arrowReferences
 
Components of the Framingham Cardiovascular Risk Score include age, blood pressure, total cholesterol/LDL cholesterol, HDL cholesterol, diabetes, and smoking status.


*    Acknowledgments
 
Dr Albert was supported by an award from the Robert Wood Johnson Foundation. The PRINCE trial was investigator-initiated, coordinated, and performed centrally within the Center for Cardiovascular Disease Prevention, Brigham and Women’s Hospital, Harvard Medical School, and was run with full independence. The research group wrote all the protocols and manuals, holds all the primary data forms, and performed all the analyses. In addition to funding, the study sponsor, Bristol Myers Squibb, also provided the study drug.


*    Footnotes
 
Dr Ridker is named as a coinventor on patents filed by the Brigham and Women’s Hospital that relate to the use of inflammatory biomarkers in cardiovascular disease.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
up arrowAppendix
*References
 
1. Anderson KM, Odell PM, Wilson PWF, et al. Cardiovascular disease risk profiles. Am Heart J. 1991; 121: 293–298.[CrossRef][Medline] [Order article via Infotrieve]

2. Wilson PWF, D’Agostino RB, Levy D, et al. Prediction of coronary heart disease using risk factor categories. Circulation. 1998; 97: 1837–1847.[Abstract/Free Full Text]

3. D’Agostino RB, Grundy S, Sullivan LM, et al, for the CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001; 286: 180–187.[Abstract/Free Full Text]

4. Ridker PM. High-sensitivity C-reactive protein: potential adjunct for global risk assessment in the primary prevention of cardiovascular disease. Circulation. 2001: 103; 357–362.[Medline] [Order article via Infotrieve]

5. Ridker PM, Cushman M, Stampfer MJ, et al. Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men. N Engl J Med. 1997; 336: 973–979.[Abstract/Free Full Text]

6. Ridker PM, Hennekens CH, Buring JE, et al. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342: 836–843.[Abstract/Free Full Text]

7. Danesh J, Whincup P, Walker M, et al. Low grade inflammation and coronary heart disease: prospective study and updated meta-analyses. BMJ. 2000; 321: 199–204.[Abstract/Free Full Text]

8. Albert MA, Staggers J, Chew P, et al. The Pravastatin Inflammation/CRP Evaluation (PRINCE): rationale and design. Am Heart J. 2001; 141: 893–898.[CrossRef][Medline] [Order article via Infotrieve]

9. Albert MA, Danielson E, Rifai N, et al, for the PRINCE Investigators. The Pravastatin Inflammation/CRP Evaluation (PRINCE): a randomized trial and cohort study. JAMA. 2001; 286: 64–70.[Abstract/Free Full Text]

10. Roberts WL, Molton L, Law TC, et al. Evaluation of nine automated high sensitivity C-reactive protein methods: implications for clinical and epidemiological application, II. Clin Chem. 2001; 47: 418–425.[Abstract/Free Full Text]

11. Cushman M, Meilahn EN, Psaty BM, et al. Hormone replacement therapy, inflammation, and homeostasis in elderly women. Arterioscler Thromb Vasc Biol. 1999; 19: 893–899.[Abstract/Free Full Text]

12. Ridker PM, Hennekens CH, Rifai N, et al. Hormone replacement therapy and increased plasma concentration of C-reactive protein. Circulation. 1999; 100: 713–716.[Abstract/Free Full Text]

13. Koenig W, Sund M, Froelich M, et al. C-reactive protein, a sensitive marker of inflammation, predicts future risk of coronary heart disease in initially healthy middle aged men: results from MONICA (Monitoring trends and determinants in cardiovascular disease) Augsburg Cohort Study, 1984 to 1992. Circulation. 1999; 99: 237–242.[Abstract/Free Full Text]

14. Ridker PM, Rifai N, Clearfield M, et al, for the Air Force/Texas Coronary Atherosclerosis Prevention Study Investigators. Measurement of C-reactive protein for the targeting of statin therapy in the primary prevention of acute coronary events. N Engl J Med. 2001; 344: 1959–1965.[Abstract/Free Full Text]

15. Ridker PM, Rifai N, Rose L, et al. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med. 2002; 347: 1557–1565.[Abstract/Free Full Text]

16. Lowe G, Upton M, Rumley A, et al. Different effects of oral and transdermal hormone replacement therapies on factor IX, APC resistance, t-PA, PAI and C-reactive protein: a cross-sectional survey. Thromb Haemost. 2001; 86: 550–556.[Medline] [Order article via Infotrieve]

17. Shepard J, Cobb SM, Ford I, et al, for the West of Scotland Coronary Prevention Study Group. Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. N Engl J Med. 1995; 333: 1301–1307.[Abstract/Free Full Text]

18. Downs JR, Clearfield M, Weis S, et al, for the AFCAPS/TexCAPS Research group. Primary prevention of acute coronary events with lovastatin in men and women with average cholesterol levels: results of AFCAPS/TexCAPS. JAMA. 1998; 279: 1615–1622.[Abstract/Free Full Text]

19. Ridker PM, Rifai N, Pfeffer M, et al. Long-term effects of pravastatin on plasma concentration of C-reactive protein. Circulation. 1999; 100: 230–235.[Abstract/Free Full Text]

20. Ridker PM. Should statin therapy be considered for patients with elevated C-reactive protein? The need for a definitive clinical trial. Eur Heart J. 2001; 22: 2135–2137.[Free Full Text]




This article has been cited by other articles:


Home page
ANN INTERN MEDHome page
D. I. Buckley, R. Fu, M. Freeman, K. Rogers, and M. Helfand
C-Reactive Protein as a Risk Factor for Coronary Heart Disease: A Systematic Review and Meta-analyses for the U.S. Preventive Services Task Force
Ann Intern Med, October 6, 2009; 151(7): 483 - 495.
[Abstract] [Full Text] [PDF]


Home page
Int J EpidemiolHome page
T. Shah, J. P Casas, J. A Cooper, I. Tzoulaki, R. Sofat, V. McCormack, L. Smeeth, J. E Deanfield, G. D Lowe, A. Rumley, et al.
Critical appraisal of CRP measurement for the prediction of coronary heart disease events: new data and systematic review of 31 prospective cohorts
Int. J. Epidemiol., February 1, 2009; 38(1): 217 - 231.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
A. D. Hingorani, T. Shah, J. P. Casas, S. E. Humphries, and P. J. Talmud
C-Reactive Protein and Coronary Heart Disease: Predictive Test or Therapeutic Target?
Clin. Chem., February 1, 2009; 55(2): 239 - 255.
[Abstract] [Full Text] [PDF]


Home page
HeartHome page
R Iijima, R A Byrne, G Ndrepepa, S Braun, J Mehilli, P B Berger, A Schomig, and A Kastrati
Pre-procedural C-reactive protein levels and clinical outcomes after percutaneous coronary interventions with and without abciximab: pooled analysis of four ISAR trials
Heart, January 15, 2009; 95(2): 107 - 112.
[Abstract] [Full Text] [PDF]


Home page
ESC Textbook of Cardiovascular MedicineHome page
C. W. Hamm, H. Möllmann, J.-P. Bassand, and F. van de Werf
CHAPTER 16 Acute Coronary Syndromes
ESC Textbook of Cardiovascular Medicine, January 1, 2009; 2(1): med-9780199566990-chapter - med-9780199566990-chapter.
[Abstract] [Full Text] [PDF]


Home page
Proc Am Thorac SocHome page
W. MacNee, J. Maclay, and D. McAllister
Cardiovascular Injury and Repair in Chronic Obstructive Pulmonary Disease
Proceedings of the ATS, December 1, 2008; 5(8): 824 - 833.
[Abstract] [Full Text] [PDF]


Home page
Circ Cardiovasc Qual OutcomesHome page
P. W.F. Wilson, M. Pencina, P. Jacques, J. Selhub, R. D'Agostino Sr, and C. J. O'Donnell
C-Reactive Protein and Reclassification of Cardiovascular Risk in the Framingham Heart Study
Circ Cardiovasc Qual Outcomes, November 1, 2008; 1(2): 92 - 97.
[Abstract] [Full Text] [PDF]


Home page
AMERICAN JOURNAL OF LIFESTYLE MEDICINEHome page
M. G. Flynn, B. K. McFarlin, and M. M. Markofski
State of the Art Reviews: The Anti-Inflammatory Actions of Exercise Training
American Journal of Lifestyle Medicine, May 1, 2007; 1(3): 220 - 235.
[Abstract] [PDF]


Home page
CirculationHome page
C. Napoli, L. O. Lerman, F. de Nigris, M. Gossl, M. L. Balestrieri, and A. Lerman
Rethinking Primary Prevention of Atherosclerosis-Related Diseases
Circulation, December 5, 2006; 114(23): 2517 - 2527.
[Full Text] [PDF]


Home page
Eur Heart JHome page
G. P. Fadini, S. V. de Kreutzenberg, A. Coracina, I. Baesso, C. Agostini, A. Tiengo, and A. Avogaro
Circulating CD34+ cells, metabolic syndrome, and cardiovascular risk
Eur. Heart J., September 2, 2006; 27(18): 2247 - 2255.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
G. P. Fadini, A. Coracina, I. Baesso, C. Agostini, A. Tiengo, A. Avogaro, and S. Vigili de Kreutzenberg
Peripheral Blood CD34+KDR+ Endothelial Progenitor Cells Are Determinants of Subclinical Atherosclerosis in a Middle-Aged General Population
Stroke, September 1, 2006; 37(9): 2277 - 2282.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
M. A. Albert and P. M Ridker
C-Reactive Protein as a Risk Predictor: Do Race/Ethnicity and Gender Make a Difference?
Circulation, August 1, 2006; 114(5): e67 - e74.
[Full Text] [PDF]


Home page
ANN INTERN MEDHome page
D. M. Lloyd-Jones, K. Liu, L. Tian, and P. Greenland
Narrative Review: Assessment of C-Reactive Protein in Risk Prediction for Cardiovascular Disease
Ann Intern Med, July 4, 2006; 145(1): 35 - 42.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
L. B. Goldstein, R. Adams, M. J. Alberts, L. J. Appel, L. M. Brass, C. D. Bushnell, A. Culebras, T. J. DeGraba, P. B. Gorelick, J. R. Guyton, et al.
Primary Prevention of Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association Stroke Council: Cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: The American Academy of Neurology affirms the value of this guideline.
Circulation, June 20, 2006; 113(24): e873 - e923.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
L. B. Goldstein, R. Adams, M. J. Alberts, L. J. Appel, L. M. Brass, C. D. Bushnell, A. Culebras, T. J. DeGraba, P. B. Gorelick, J. R. Guyton, et al.
Primary Prevention of Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association Stroke Council: Cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: The American Academy of Neurology affirms the value of this guideline.
Stroke, June 1, 2006; 37(6): 1583 - 1633.
[Abstract] [Full Text] [PDF]


Home page
Cardiovasc ResHome page
K. K. Koh and B.-K. Yoon
Controversies regarding hormone therapy: Insights from inflammation and hemostasis
Cardiovasc Res, April 1, 2006; 70(1): 22 - 30.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
N. Christodoulides, P. N. Floriano, S. A. Acosta, K. L. M. Ballard, S. E. Weigum, S. Mohanty, P. Dharshan, D. Romanovicz, and J. T. McDevitt
Toward the Development of a Lab-on-a-Chip Dual-Function Leukocyte and C-Reactive Protein Analysis Method for the Assessment of Inflammation and Cardiac Risk
Clin. Chem., December 1, 2005; 51(12): 2391 - 2395.
[Full Text] [PDF]


Home page
Arch Intern MedHome page
P. W. F. Wilson, B.-H. Nam, M. Pencina, R. B. D'Agostino Sr, E. J. Benjamin, and C. J. O'Donnell
C-Reactive Protein and Risk of Cardiovascular Disease in Men and Women From the Framingham Heart Study
Arch Intern Med, November 28, 2005; 165(21): 2473 - 2478.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
M. Miller, M. Zhan, and S. Havas
High Attributable Risk of Elevated C-Reactive Protein Level to Conventional Coronary Heart Disease Risk Factors: The Third National Health and Nutrition Examination Survey
Arch Intern Med, October 10, 2005; 165(18): 2063 - 2068.
[Abstract] [Full Text] [PDF]


Home page
JAOA: Journal of the American Osteopathic AssociationHome page
M. B. Clearfield
C-Reactive Protein: A New Risk Assessment Tool for Cardiovascular Disease
J Am Osteopath Assoc, September 1, 2005; 105(9): 409 - 416.
[Abstract] [Full Text] [PDF]


Home page
ANGIOLOGYHome page
P. Lind, B. Hedblad, L. Stavenow, G. Engstrom, L. Janzon, M. Ogren, and F. Lindgarde
Incidence of Myocardial Infarction and Death in Relation to Walking-Induced Calf Pain and Plasma Levels of Inflammation-Sensitive Proteins
Angiology, September 1, 2005; 56(5): 507 - 516.
[Abstract] [PDF]


Home page
J. Biol. Chem.Home page
K. M. Parmar, V. Nambudiri, G. Dai, H. B. Larman, M. A. Gimbrone Jr., and G. Garcia-Cardena
Statins Exert Endothelial Atheroprotective Effects via the KLF2 Transcription Factor
J. Biol. Chem., July 22, 2005; 280(29): 26714 - 26719.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
M. Di Napoli, M. Schwaninger, R. Cappelli, E. Ceccarelli, G. Di Gianfilippo, C. Donati, H. C.A. Emsley, S. Forconi, S. J. Hopkins, L. Masotti, et al.
Evaluation of C-Reactive Protein Measurement for Assessing the Risk and Prognosis in Ischemic Stroke: A Statement for Health Care Professionals From the CRP Pooling Project Members
Stroke, June 1, 2005; 36(6): 1316 - 1329.
[Abstract] [Full Text] [PDF]


Home page
Cardiovasc ResHome page
S. B. Kritchevsky, M. Cesari, and M. Pahor
Inflammatory markers and cardiovascular health in older adults
Cardiovasc Res, May 1, 2005; 66(2): 265 - 275.
[Abstract] [Full Text] [PDF]


Home page
Ann Rheum DisHome page
K de Leeuw, J-S Sanders, C Stegeman, A Smit, C G Kallenberg, and M Bijl
Accelerated atherosclerosis in patients with Wegener's granulomatosis
Ann Rheum Dis, May 1, 2005; 64(5): 753 - 759.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
J. Genius, T. Dong-Si, A. P. Grau, and C. Lichy
Postacute C-Reactive Protein Levels Are Elevated in Cervical Artery Dissection
Stroke, April 1, 2005; 36(4): e42 - e44.
[Abstract] [Full Text] [PDF]


Home page
J. Lipid Res.Home page
A. Chait, C. Y. Han, J. F. Oram, and J. W. Heinecke
Thematic review series: The Immune System and Atherogenesis. Lipoprotein-associated inflammatory proteins: markers or mediators of cardiovascular disease?
J. Lipid Res., March 1, 2005; 46(3): 389 - 403.
[Abstract] [Full Text] [PDF]


Home page
Vasc MedHome page
A. Tedgui
The role of inflammation in atherothrombosis: implications for clinical practice
Vascular Medicine, February 1, 2005; 10(1): 45 - 53.
[Abstract] [PDF]


Home page
Mayo Clin Proc.Home page
I. J. Kullo and C. M. Ballantyne
Conditional Risk Factors for Atherosclerosis
Mayo Clin. Proc., February 1, 2005; 80(2): 219 - 230.
[Abstract] [PDF]


Home page
ANN INTERN MEDHome page
R. O. Bonow
Update in Cardiology
Ann Intern Med, October 19, 2004; 141(8): 628 - 634.
[Full Text] [PDF]


Home page
Eur Heart JHome page
S. Verma, C.-H. Wang, E. Lonn, F. Charbonneau, J. Buithieu, L. M. Title, M. Fung, S. Edworthy, A. C. Robertson, T. J. Anderson, et al.
Cross-sectional evaluation of brachial artery flow-mediated vasodilation and C-reactive protein in healthy individuals
Eur. Heart J., October 1, 2004; 25(19): 1754 - 1760.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
M. A. Albert, J. Torres, R. J. Glynn, and P. M Ridker
Perspective on Selected Issues in Cardiovascular Disease Research With a Focus on Black Americans
Circulation, July 13, 2004; 110(2): e7 - e12.
[Full Text] [PDF]


Home page
StrokeHome page
H. Hashimoto, K. Kitagawa, H. Hougaku, H. Etani, and M. Hori
Relationship Between C-Reactive Protein and Progression of Early Carotid Atherosclerosis in Hypertensive Subjects
Stroke, July 1, 2004; 35(7): 1625 - 1630.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
P. M Ridker, P. W.F. Wilson, and S. M. Grundy
Should C-Reactive Protein Be Added to Metabolic Syndrome and to Assessment of Global Cardiovascular Risk?
Circulation, June 15, 2004; 109(23): 2818 - 2825.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
W. Koenig, H. Lowel, J. Baumert, and C. Meisinger
C-Reactive Protein Modulates Risk Prediction Based on the Framingham Score: Implications for Future Risk Assessment: Results From a Large Cohort Study in Southern Germany
Circulation, March 23, 2004; 109(11): 1349 - 1353.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
G. B. J. Mancini
Vascular structure versus function: is endothelial dysfunction of independent prognostic importance or not?
J. Am. Coll. Cardiol., February 18, 2004; 43(4): 624 - 628.
[Full Text] [PDF]


Home page
Arterioscler. Thromb. Vasc. Bio.Home page
E. Lutgens, R.-J. van Suylen, B. C. Faber, M. J. Gijbels, P. M. Eurlings, A.-P. Bijnens, K. B. Cleutjens, S. Heeneman, and M. J.A.P. Daemen
Atherosclerotic Plaque Rupture: Local or Systemic Process?
Arterioscler Thromb Vasc Biol, December 1, 2003; 23(12): 2123 - 2130.
[Abstract] [Full Text] [PDF]


Home page
JAMAHome page
J. G. Canto and A. E. Iskandrian
Major Risk Factors for Cardiovascular Disease: Debunking the "Only 50%" Myth
JAMA, August 20, 2003; 290(7): 947 - 949.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
108/2/161    most recent
01.CIR.0000080289.72166.CFv1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Albert, M. A.
Right arrow Articles by Ridker, P. M
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Albert, M. A.
Right arrow Articles by Ridker, P. M
Right arrowPubmed/NCBI databases
*Gene*GEO Profiles
*HomoloGene*UniGene
*Substance via MeSH
Related Collections
Right arrow Risk Factors
Right arrow Epidemiology