 |
 |

High Attributable Risk of Elevated C-Reactive Protein Level to Conventional Coronary Heart Disease Risk Factors
The Third National Health and Nutrition Examination Survey
Michael Miller, MD;
Min Zhan, PhD;
Stephen Havas, MD, MPH, MS
Arch Intern Med. 2005;165:2063-2068.
ABSTRACT
Background C-reactive protein (CRP), a marker of systemic inflammation, is predictive of coronary heart disease (CHD) events. However, the extent to which high CRP levels (>3 mg/L) may be attributable to high cholesterol levels and other CHD risk factors has not been well defined.
Methods The prevalence of high CRP levels in the third National Health and Nutrition Examination Survey (n = 15 341) was studied using CHD risk-factor cut points designated as abnormal (total cholesterol values, 240 mg/dL [ 6.22 mmol/L]; fasting blood glucose levels, 126 mg/dL [ 6.99 mmol/L]; blood pressure, 140/90 mm Hg; body mass index [BMI], 30 kg/m2; high-density lipoprotein cholesterol values, <40 mg/dL [<1.04 mmol/L] for men and <50 mg/dL [<1.30 mmol/L] for women; triglyceride levels, 200 mg/dL [ 2.26 mmol/L]; current smoking status) or borderline (total cholesterol values, 200-239 mg/dL [5.18-6.19 mmol/L]; fasting blood glucose levels, 100-125 mg/dL [5.55-6.94 mmol/L]; blood pressure, 120-139/80-89 mm Hg; BMI, 25.0-29.9 kg/m2, and triglyceride values 150-199 mg/dL [1.70-2.25 mmol/L], former smoking status), or normal.
Results Weighted multiple logistic regression analysis demonstrated that high CRP level was significantly more common with obesity (odds ratio [OR], 3.78; 95% confidence interval [CI], 3.28-4.35]), overweight (OR, 1.88; 95% CI, 1.62-2.18), and diabetes (OR, 1.91; 95% CI, 1.54-2.38) and that high CRP level was rare in the absence of any borderline or abnormal CHD risk factor in men (4.4%) and women (10.3%). Overall, the risk of elevated CRP level attributable to the presence of any abnormal or borderline CHD risk factor was 78% in men and 67% women.
Conclusions These data suggest that elevated CRP levels in the general population are in large measure attributable to traditional CHD risk factors. Moreover, CRP level elevation is rare in the absence of borderline or abnormal risk factors. As such, CRP measurements may have limited clinical utility as a screening tool beyond other known CHD risk factors.
INTRODUCTION
Inflammation has been implicated in the origination and progression of cardiovascular disease,1 and among the most actively studied biomarkers is C-reactive protein (CRP), an acute-phase reactant released predominantly by hepatocytes.2 While low-grade inflammation is predictive of coronary heart disease (CHD),3 even in the absence of elevated low-density lipoprotein cholesterol levels,4 the extent to which high CRP level is attributable to well-established CHD risk factors has not been well studied. This is an important issue to investigate in view of the numerous proponents for or against CRP level as a CHD screening tool5-8 and a recent Centers for Disease Control and Prevention and the American Heart Association scientific statement9 reserving CRP measurements for those patients at intermediate CHD risk (defined as a 10-year CHD risk range of 10%-20%). If elevated CRP level is intimately linked to conventional CHD risk factors, then routine screening of this biomarker would seemingly be less valuable to clinicians. Therefore, the present study was undertaken to evaluate the extent to which high CRP levels (>3 mg/L) may simply reflect expression of the pathobiologic changes induced by conventional CHD risk factors.
METHODS
The third National Health and Nutrition Examination Survey (NHANES III)10 was conducted between 1988-1994 and used a stratified, multistage, probability sampling design to produce estimates generalizable to the US population. A total of 20 050 adults 18 years or older were screened for the study. A total of 15 341 subjects were included in the study, excluding subjects with any of the following data points missing from the record: CRP values (n = 3081), glucose levels (n = 1394), high-density lipoprotein cholesterol levels (n = 84), triglyceride levels (n = 80), body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) (n = 32), blood pressure values (n = 29), race designation (n = 8), and smoking status (n = 1). The dependent variable, serum CRP concentrations, was measured at the University of Washington Department of Laboratory Medicine using a Behring (Dade Behring, Deerfield, Ill) latex-enhanced nephelometer analyzer system; the assay was not of high sensitivity. We defined elevated levels of CRP as greater than 3 mg/L based on the recent Centers for Disease Control and Prevention and the American Heart Association scientific statement.9
Established cut points were used for the categorical variables in defining normal, borderline, or abnormal CHD risk factors. They included cigarette smoking (never, former, or current); blood pressure (normal, <120/80 mm Hg; prehypertension, 120-139/80-89 mm Hg; and hypertension, 140/90 mm Hg or receiving blood pressure medications)11; fasting glucose levels (normal, <100 mg/dL [<5.55 mmol/L]; prediabetes mellitus, 100-125 mg/dL [5.55-6.94 mmol/L]; and diabetes mellitus, 126 mg/dL [ 6.99 mmol/L] or receiving insulin or oral hypoglycemic agents)12; total cholesterol levels (normal, <200 mg/dL [<5.18 mmol/L]; borderline high, 200-239 mg/dL [5.18-6.19 mmol/L]; and high, 240 mg/dL [ 6.22 mmol/L] or receiving lipid-lowering medications)13; triglyceride levels (normal, <150 mg/dL [<1.70 mmol/L]; borderline high, 150-199 mg/dL [1.70-2.25 mmol/L]; and high, 200 mg/dL [ 2.26 mmol/L] or receiving lipid-lowering medications)13; high-density lipoprotein cholesterol values (normal, 40 mg/dL [ 1.04 mmol/L] in men and 50 mg/dL [ 1.30 mmol/L] in women; low, <40 mg/dL [<1.04 mmol/L] in men and <50 mg/dL [<1.30 mmol/L] in women)13; and BMI (normal, <25; overweight, 25-29; and obese, 30).14 We selected total cholesterol rather than low-density lipoprotein cholesterol because of the high number of missing values for the latter (n = 7829). Finally, we also classified physical activity into 4 categories: vigorous activity, moderate activity, light activity, and sedentary as previously defined.15 We also determined the use of estrogen replacement therapy in women who had surgical or natural menopause.
The association between CHD risk factors and the prevalence of elevated CRP levels was assessed using 2 tests. Additional analyses were conducted using SAS statistical software, version 9 (SAS Institute Inc, Cary, NC). Because NHANES III oversampled minority populations, weighted analyses were performed to ensure that results were generalizable to US population demographics (SAS/STAT, version 9.1). The odds ratio of elevated CRP levels was determined in the presence (or absence) of each of the above CHD risk factors, and their 95% confidence intervals (CIs) were calculated by a multiple logistic regression model that used survey weights. The attributable risk of elevated CRP level due to one or more CHD risk factors was computed using the following formula: (PD/E PD/ ) NE/ND, where PD/E is the weighted percentage of high CRP levels with abnormal or borderline CHD risk factors, PD/ is the weighted percentage of high CRP levels without CHD risk factors, NE is the number of estimated individuals with abnormal or borderline CHD risk factors in the population, and ND is the estimated total number of cases in the population.
RESULTS
A total of 15 341 adult men and women were included in the analysis. Table 1 provides baseline and demographic information of the NHANES III cohort.
|
|
|
|
Table 1. Baseline Characteristics of the NHANES III10 Cohort*
|
|
|
The frequency and prevalence of high CRP levels for each of the CHD risk factors are listed in Table 2. Blacks had higher CRP levels than whites. Overall, there were marked increases in the prevalence of elevated CRP levels especially associated with higher blood pressure, glucose levels, and BMI. Compared with never smokers, high CRP level was more common in both former and active cigarette smokers. A graded increase in the prevalence of high CRP levels was also apparent as blood pressure, glucose, cholesterol, triglyceride, and BMI cut points increased from normal to borderline and abnormal levels, with larger increases occurring between borderline and abnormal ranges. Similar changes were also observed in univariate analysis comparing sedentary and physically active subjects.
|
|
|
|
Table 2. Prevalence of High C-Reactive Protein Levels Based on Univariate Analysis of Ethnicity and Coronary Heart Disease Risk factors
|
|
|
The overall prevalence of elevated CRP level was 25.7%. Compared with subjects who never smoked cigarettes and were normotensive, normolipidemic, euglycemic, and not overweight (n = 813), the presence of at least 1 borderline or abnormal CHD risk factor (n = 14 528) was associated with an approximate 3-fold higher prevalence of CRP level higher than 3 mg/L (8.7% vs 26.7%) (P<.001) (Figure). Only 4.4% of men and 10.3% of women with a favorable risk-factor profile had elevated CRP levels. In the presence of any borderline CHD risk factor, high CRP level increased 1.5- to 2-fold and approximately 3- to 5-fold with at least 1 abnormal CHD risk factor.
|
|
|
|
Figure. Prevalence of high C-reactive protein levels in men and women based on coronary heart disease risk factors (cigarette smoking, borderline or elevated blood pressure, impaired fasting glucose level or diabetes mellitus, borderline-high or high cholesterol levels, borderline-high or high triglyceride levels, elevated body mass index, and low high-density lipoprotein levels, as specified in the "Methods" section). Asterisk indicates P<.001 within sex. Prevalence of high C-reactive protein level was significantly higher in women than in men (30.95% vs 19.7%; P<.001).
|
|
|
The prevalence of elevated CRP level was also higher among postmenopausal women receiving estrogen replacement therapy (51%; n = 473) than among estrogen nonusers or former users (37%; n = 3105) (P<.001). These data are consistent with previous studies that have shown higher CRP levels in women than in men16 and higher levels in women undergoing estrogen replacement therapy than in women not undergoing such therapy.17-18 However, because of the small number of women receiving estrogen replacement therapy, this variable was not included in our multiple logistic regression model.
The inclusion of moderate and/or vigorous physical activity sharply reduced the number of men and women without any CHD risk factors from 813 to 71 of 15 341 subjects. Because only a very small fraction of these normal subjects had elevated CRP levels (n = 7, or 0.05% of the total cohort), physical activity was not included in multiple logistic regression analysis.
Weighted multiple logistic regression analysis adjusted for age and race identified the factors that were most highly associated with elevated CRP level: excess weight, hypertension, female sex, diabetes, cigarette smoking, and low high-density lipoprotein cholesterol values (Table 3). Table 4 demonstrates that the attributable risk of high CRP level in men and women was primarily accounted for by the presence of at least 1 abnormal CHD risk factor. In NHANES III, the attributable risk of high CRP level for the presence at least 1 abnormal or borderline CHD risk factor was approximately 78% for men and 67% for women.
|
|
|
|
Table 3. Weighted Multiple Logistic Regression Analysis of High C-Reactive Protein Level and Coronary Heart Disease Risk Factors
|
|
|
|
|
|
|
Table 4. Attributable Risk of High C-Reactive Protein Level in Men and Women With at Least 1 Borderline or Abnormal CHD Risk Factor*
|
|
|
COMMENT
Until recently, many believed that only 50% of CHD was accounted for by traditional risk factors such as cigarette smoking, diabetes mellitus, hypertension, and high blood cholesterol level.19 This in turn led to intensive investigations to uncover other potentially important biomarkers influencing atherothrombosis and CHD risk. Among the numerous markers surveyed, CRP level has been the most thoroughly examined with more than 1900 entries in PubMed during the past 9 years. However, recent studies have affirmed that traditional risk factors account for the overwhelming majority of CHD cases in the United States.20-22
The present study reinforces the central role that traditional CHD risk factors play in atherothrombosis by demonstrating that a pivotal biomarker of systemic inflammation, elevated CRP level, is generally accompanied by borderline or abnormal CHD risk factors and rarely occurs in their absence. Thus, while these data in no way negate the important influence that inflammation plays in promoting or accelerating CHD,23 they underscore the likely role that well-established risk factors contribute to the inflammatory process. Several lines of evidence support a strong interrelationship between inflammatory biomarkers and CHD risk factors. For example, hepatic production of CRP is up-regulated by visceral adipocyte-mediated secretion of inflammatory cytokines.24 In addition to interleukin 6 and nuclear factor , other proinflammatory mediators released from adipocytes, notably angiotensin II, contribute to dyslipidemia, insulin resistance, and systemic hypertension.25-26 The present study reaffirms that elevated CRP level is strongly correlated with measures of adiposity27 as defined by BMI measurements for overweight and obesity. These close-knit relationships make it difficult to disentangle the distinctive impact of CRP level beyond well-established risk factors.
Moreover, the treatments commonly used to reduce conventional CHD risk factors also lower CRP levels.28-31 Therefore, given the tight interrelationship between systemic inflammation and CHD risk factors, and in view of the extremely low prevalence of high CRP level in the absence of the 8 risk factors in NHANES III (ie, 0.05%), it is difficult, if not impossible, to prove the "CRP hypothesis" (ie, reduction of CRP level independently diminishes CHD event rates). This would necessitate the development of targeted agents that would lower CRP levels and reduce CHD without affecting values for lipids, blood pressure, glucose, and visceral adiposity.
Unless these concerns can be assuaged, we do not recommend screening for elevated CRP levels. In fact, CRP screening may be counterproductive because finding normal levels (<1 mg/L) could dissuade patients and physicians from using intensive lifestyle therapy that might prove useful. For example, a low CRP level (<1 mg/dL) in an overweight, dyslipidemic, prehypertensive, or prediabetic subject might provide false reassurance that no further therapy is required. However, failure to institute lifestyle strategies aimed at normalizing body weight, lipid levels, blood pressure, and glucose values leads to greater disease progression and increased CHD event rates,32 regardless of CRP levels. In an era where obesity-related illnesses have grown to epidemic proportions,33 more intensive efforts should be directed toward eradicating the primary culprit of elevated CRP levels, visceral adiposity.
There are several limitations associated with the present study. First, to circumvent oversampling of selected groups in NHANES III (eg, blacks), weighted analyses were performed. Second, the highly sensitive CRP assay currently in widespread use, enabling detection of lower CRP levels (eg, <2.1 mg/L), was not used in NHANES III. While this shortcoming did not affect the primary question raised in the present study related to high CRP level, it restricted further analyses using moderate to high CRP cut points (ie, 1-3 mg/L).34 Third, 15% of the cohort had missing data for CRP levels, resulting mostly from refusal to have blood drawn or insufficient blood sampling. However, there were no material differences in demographic characteristics between the subjects with and without blood for analysis. Finally, the objective cut points used to define normal, borderline, and abnormal lipid levels, blood pressure, glucose values, and measures of adiposity were considerably easier to quantify in NHANES III compared with more subjective risk factors, such as mental stress.
Even though a strong association between CRP level and overall CHD risk exists, 1 cross-sectional study did not demonstrate that CRP level correlated with individual CHD risk factors.35 However, the size of that cohort was considerably smaller than NHANES III (n = 1666 vs 15 341), and measures of adiposity, the most powerful variable influencing CRP level, were not undertaken. Because the presence of multiple risk factors (as opposed to a single factor) increases the likelihood of CHD,36 focusing on individual parameters may underestimate overall CHD risk, especially in the United States, where the prevalence of multiple risk factors (eg, metabolic syndrome) is high.37 In the present study, elevated CRP level was very prevalent in the presence of at least 1 borderline or abnormal risk factor.
Based on the recent results of the INTERHEART study38 of about 30 000 people, where 90% of CHD could be accounted for by 9 measures of risk (abdominal obesity, alcohol intake, cigarette smoking, hypertension, diabetes, abnormal lipids [apolipoprotein B/apolipoprotein A-I ratio], low consumption of fruits and vegetables, physical inactivity, and psychosocial factors), it is tempting to speculate that a similarly high attributable risk relating CRP level and CHD risk factors might have been ascertained had NHANES III enrolled twice the number of subjects and been able to measure parameters such as physical activity with greater precision.
In summary, these data suggest that elevated CRP level is primarily attributable to traditional CHD risk factors. As such, measurement of CRP levels may have limited clinical utility as a screening tool for CHD risk assessment unless randomized clinical trials can demonstrate that lowering CRP levels offsets CHD events beyond well-established lifestyle and pharmacologic modalities. In the meantime, more intensified efforts should be aimed at promotion of smoking cessation, increasing physical activity, and lowering of elevated blood pressure, lipid levels, and visceral adiposity because all have proven impact on CHD reduction.
AUTHOR INFORMATION
Correspondence: Michael Miller, MD, Division of Cardiology, Room S3B06, 22 S Greene St, Baltimore, MD 21201 (mmiller{at}heart.umaryland.edu).
Accepted for Publication: March 17, 2005.
Financial Disclosure: None.
Funding/Support: This work was supported in part by National Institutes of Health grant HL-61369 and a Veterans Affairs Merit Award to Dr Miller.
Previous Presentations: This study was presented in part at the American Heart Association Annual Scientific Sessions; November 8, 2004; New Orleans, La.
Acknowledgment: The authors acknowledge Laurence Magder, PhD, for helpful discussions related to statistical methods.
Author Affiliations: Departments of Medicine (Drs Miller and Havas) and Epidemiology and Preventive Medicine (Drs Miller, Zhan, and Havas), University of Maryland School of Medicine, Baltimore.
REFERENCES
1. Benzaquen LR, Yu H, Rifai N. High sensitivity C-reactive protein: an emerging role in cardiovascular risk assessment. Crit Rev Clin Lab Sci. 2002;39:459-497.
PUBMED
2. MacIntyre SS, Schultz D, Kushner I. Synthesis and secretion of C-reactive protein by rabbit primary hepatocyte cultures. Biochem J. 1983;210:707-715.
WEB OF SCIENCE
| PUBMED
3. Ridker PM, Cushman M, Stampfer MJ, Tracy RP, Hennekens CH. Inflammation, aspirin, and risks of cardiovascular disease in apparently healthy men. N Engl J Med. 1997;336:973-979.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
4. Ridker PM, Rifai N, Rose L, Buring JE, Cook NR. 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.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
5. Foody JM, Gotto AM, Wenger N. C-reactive protein and coronary heart disease. N Engl J Med. 2004;351:295-298.
FULL TEXT
| PUBMED
6. Ridker PM, Koenig W, Fuster V. C-reactive protein and coronary heart disease. N Engl J Med. 2004;351:295-298.
FULL TEXT
| PUBMED
7. Danesh J, Wheeler JG, Hirschfield GM, et al. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004;350:1387-1397.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
8. Tall AR. C-reactive protein reassessed. N Engl J Med. 2004;350:1450-1452.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
9. Pearson TA, Mensah GA, Alexander RW, et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003;107:499-511.
FREE FULL TEXT
10. Plan and operation of the Third National Health and Nutrition Examination Survey, 1998-1994; series 1: programs and collections procedure. Vital Health Stat. July 1994;32:1-407.
11. Chobanian AV, Bakris GL, Black HR, et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003;42:1206-1252.
FREE FULL TEXT
12. Genuth S, Alberti KG, Bennett P, et al. Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care. 2003;26:3160-3167.
FREE FULL TEXT
13. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001;285:2486-2497.
FREE FULL TEXT
14. Executive summary of the clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. Arch Intern Med. 1998;158:1855-1867.
FREE FULL TEXT
15. Ford ES. Does exercise reduce inflammation? Physical activity and C-reactive protein among U.S. adults. Epidemiology. 2002;13:561-568.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
16. McConnell JP, Branum EL, Ballman KV, Lagerstedt SA, Katzmann JA, Jaffe AS. Gender differences in C-reactive protein concentrations-confirmation with two sensitive methods. Clin Chem Lab Med. 2002;40:56-59.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
17. Ridker PM, Hennekens CH, Rifai N, Buring JE, Manson JE. Hormone replacement therapy and increased plasma concentration of C-reactive protein. Circulation. 1999;100:713-716.
FREE FULL TEXT
18. Cushman M. Hormone therapies and vascular outcomes: who is at risk? J Thromb Thrombolysis. 2003;16:87-90.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
19. Futterman LG, Lemberg L. Fifty percent of patients with coronary artery disease do not have any of the conventional risk factors. Am J Crit Care. 1998;7:240-244.
ABSTRACT
20. Magnus P, Beaglehole R. The real contribution of the major risk factors to the coronary epidemics: time to end the "only-50%" myth. Arch Intern Med. 2001;161:2657-2660.
FREE FULL TEXT
21. Greenland P, Knoll MD, Stamler J, et al. Major risk factors as antecedents of fatal and nonfatal coronary heart disease events. JAMA. 2003;290:891-897.
FREE FULL TEXT
22. Khot UN, Khot MB, Bajzer CT, et al. Prevalence of conventional risk factors in patients with coronary heart disease. JAMA. 2003;290:898-904.
FREE FULL TEXT
23. Ridker PM, Brown NJ, Vaughan DE, Harrison DG, Mehta JL. Established and emerging plasma biomarkers in the prediction of first atherothrombotic events. Circulation. 2004;109(suppl 1):IV6-IV19.
PUBMED
24. Hak AE, Stehouwer CD, Bots ML, et al. Associations of C-reactive protein with measures of obesity, insulin resistance, and subclinical atherosclerosis in healthy, middle-aged women. Arterioscler Thromb Vasc Biol. 1999;19:1986-1991.
FREE FULL TEXT
25. Strazzullo P, Galletti F. Impact of the renin-angiotensin system on lipid and carbohydrate metabolism. Curr Opin Nephrol Hypertens. 2004;13:325-332.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
26. Toni R, Malaguti A, Castorina S, Roti E, Lechan RM. New paradigms in neuroendocrinology: relationships between obesity, systemic inflammation and the neuroendocrine system. J Endocrinol Invest. 2004;27:182-186.
PUBMED
27. Lemieux I, Pascot A, Prud'homme D, et al. Elevated C-reactive protein: another component of the atherothrombotic profile of abdominal obesity. Arterioscler Thromb Vasc Biol. 2001;21:961-967.
FREE FULL TEXT
28. Ridker PM, Cannon CP, Morrow D, et al. C-reactive protein levels and outcomes after statin therapy. N Engl J Med. 2005;352:20-28.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
29. Nissen SE, Tuzcu EM, Schoenhagen P, et al. Statin therapy, LDL cholesterol, C-reactive statin therapy and coronary artery disease. N Engl J Med. 2005;352:29-38.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
30. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003;348:383-393.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
31. Backes JM, Howard PA, Moriarty PM. Role of C-reactive protein in cardiovascular disease. Ann Pharmacother. 2004;38:110-118.
FREE FULL TEXT
32. Sacks FM, Katan M. Randomized clinical trials on the effects of dietary fat and carbohydrate on plasma lipoproteins and cardiovascular disease. Am J Med. 2002;113(suppl 9B):13S-24S.
FULL TEXT
| PUBMED
33. Mokdad AH, Ford ES, Bowman BA, et al. Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA. 2003;289:76-79.
FREE FULL TEXT
34. Ridker PM. C-reactive protein: a simple test to help predict risk of heart attack and stroke. Circulation. 2003;108:e81-e85.
FREE FULL TEXT
35. Albert MA, Glynn RJ, Ridker PM. Plasma concentration of C-reactive protein and the calculated Framingham Coronary Heart Disease Risk Score. Circulation. 2003;108:161-165.
FREE FULL TEXT
36. Yusuf HR, Giles WH, Croft JB, Anda RF, Casper ML. Impact of multiple risk factor profiles on determining cardiovascular disease risk. Prev Med. 1998;27:1-9.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
37. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356-359.
FREE FULL TEXT
38. Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364:937-952.
FULL TEXT
|
WEB OF SCIENCE
| PUBMED
CiteULike Connotea Delicious Digg Facebook Reddit Technorati Twitter
What's this?
RELATED LETTERS
The Role of Inflammation for Heart Disease Risk Cannot Be Determined by Correlations Between C-Reactive Protein and Risk Factors
Gunnar Engström
Arch Intern Med. 2006;166(9):1040.
EXTRACT
| FULL TEXT
The Role of Inflammation for Heart Disease Risk Cannot Be Determined by Correlations Between C-Reactive Protein and Risk FactorsReply
Michael Miller and Stephen Havas
Arch Intern Med. 2006;166(9):1040-1041.
EXTRACT
| FULL TEXT
RELATED ARTICLES
The Role of Inflammation for Heart Disease Risk Cannot Be Determined by Correlations Between C-Reactive Protein and Risk FactorsReply
Michael Miller and Stephen Havas
Arch Intern Med. 2006;166(9):1040-1041.
EXTRACT
| FULL TEXT
C-Reactive Protein, Heart Disease Risk, and the Popular Media
Russell P. Tracy and Lewis H. Kuller
Arch Intern Med. 2005;165(18):2058-2060.
EXTRACT
| FULL TEXT
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES
 |
Practical use of the Framingham risk score in primary prevention: Canadian perspective
Bosomworth
cfp 2011;57:417-423.
ABSTRACT
| FULL TEXT
Ischaemic heart disease - a new issue in cystic fibrosis?
Perrin and Serino
JRSM 2010;103:S44-S48.
FULL TEXT
Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics
Romanens et al.
European Journal of Cardiovascular Prevention & Rehabilitation 2010;17:18-23.
ABSTRACT
| FULL TEXT
Systemic inflammation: a key factor in the pathogenesis of cardiovascular complications in obstructive sleep apnoea syndrome?
Ryan et al.
Postgrad. Med. J. 2009;85:693-698.
ABSTRACT
| FULL TEXT
Chronic Obstructive Pulmonary Disease and Obstructive Sleep Apnea: Overlaps in Pathophysiology, Systemic Inflammation, and Cardiovascular Disease
McNicholas
Am. J. Respir. Crit. Care Med. 2009;180:692-700.
ABSTRACT
| FULL TEXT
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
Buckley et al.
ANN INTERN MED 2009;151:483-495.
ABSTRACT
| FULL TEXT
Emerging Risk Factors for Coronary Heart Disease: A Summary of Systematic Reviews Conducted for the U.S. Preventive Services Task Force
Helfand et al.
ANN INTERN MED 2009;151:496-507.
ABSTRACT
| FULL TEXT
Implications of Increased C-Reactive Protein for Cardiovascular Risk Stratification in Black and White Men and Women in the US
Cushman et al.
Clin. Chem. 2009;55:1627-1636.
ABSTRACT
| FULL TEXT
C-reactive protein variations for different chronic somatic disorders
Lund Haheim et al.
Scand J Public Health 2009;37:640-646.
ABSTRACT
Systemic inflammation: a key factor in the pathogenesis of cardiovascular complications in obstructive sleep apnoea syndrome?
Ryan et al.
Thorax 2009;64:631-636.
ABSTRACT
| FULL TEXT
Nuts and health outcomes: new epidemiologic evidence
Sabate and Ang
Am J Clin Nutr 2009;89:1643S-1648S.
ABSTRACT
| FULL TEXT
Impact of matrix metalloproteinase-2 levels on long-term outcome following pharmacological or electrical cardioversion in patients with atrial fibrillation
Kato et al.
Europace 2009;11:332-337.
ABSTRACT
| FULL TEXT
High-Sensitivity C-Reactive Protein Is Not Independently Associated With Peripheral Subclinical Atherosclerosis
Bo et al.
ANGIOLOGY 2009;60:12-20.
ABSTRACT
Critical appraisal of CRP measurement for the prediction of coronary heart disease events: new data and systematic review of 31 prospective cohorts
Shah et al.
Int J Epidemiol 2009;38:217-231.
ABSTRACT
| FULL TEXT
C-Reactive Protein and Coronary Heart Disease: Predictive Test or Therapeutic Target?
Hingorani et al.
Clin. Chem. 2009;55:239-255.
ABSTRACT
| FULL TEXT
An evaluation of the association between C-reactive protein, the change in C-reactive protein over one year, and all-cause mortality in chronic immune-mediated inflammatory disease managed in UK general practice
Poole et al.
Rheumatology (Oxford) 2009;48:78-82.
ABSTRACT
| FULL TEXT
Obesity and Age of First Non-ST-Segment Elevation Myocardial Infarction
Madala et al.
J Am Coll Cardiol 2008;52:979-985.
ABSTRACT
| FULL TEXT
High Levels of Inflammatory Biomarkers Are Associated with Increased Allele-Specific Apolipoprotein(a) Levels in African-Americans
Anuurad et al.
J. Clin. Endocrinol. Metab. 2008;93:1482-1488.
ABSTRACT
| FULL TEXT
Evaluation of the association between the first observation and the longitudinal change in C-reactive protein, and all-cause mortality
Currie et al.
Heart 2008;94:457-462.
ABSTRACT
| FULL TEXT
The Clinical Significance of Subclinical Thyroid Dysfunction
Biondi and Cooper
Endocr Rev 2008;29:76-131.
ABSTRACT
| FULL TEXT
Biomarkers in the Prevention and Treatment of Atherosclerosis: Need, Validation, and Future
Revkin et al.
Pharmacol. Rev. 2007;59:40-53.
ABSTRACT
| FULL TEXT
C-Reactive Protein and Prediction of Coronary Heart Disease and Global Vascular Events in the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER)
Sattar et al.
Circulation 2007;115:981-989.
ABSTRACT
| FULL TEXT
C-Reactive Protein and Cardiovascular Risk in the Metabolic Syndrome and Type 2 Diabetes: Controversy and Challenge
Capuzzi and Freeman
Clin. Diabetes 2007;25:16-22.
ABSTRACT
| FULL TEXT
Genetic Variation Is Associated With C-Reactive Protein Levels in the Third National Health and Nutrition Examination Survey
Crawford et al.
Circulation 2006;114:2458-2465.
ABSTRACT
| FULL TEXT
Risk Stratification in Secondary Prevention: Advances in Multimarker Profiles, or Back to Basics?
Kistorp
Circulation 2006;114:184-186.
FULL TEXT
Comparative Impact of Multiple Biomarkers and N-Terminal Pro-Brain Natriuretic Peptide in the Context of Conventional Risk Factors for the Prediction of Recurrent Cardiovascular Events in the Heart Outcomes Prevention Evaluation (HOPE) Study
Blankenberg et al.
Circulation 2006;114:201-208.
ABSTRACT
| FULL TEXT
Narrative Review: Assessment of C-Reactive Protein in Risk Prediction for Cardiovascular Disease
Lloyd-Jones et al.
ANN INTERN MED 2006;145:35-42.
ABSTRACT
| FULL TEXT
The role of inflammation for heart disease risk cannot be determined by correlations between C-reactive protein and risk factors.
Engstrom
Arch Intern Med 2006;166:1040-1040.
FULL TEXT
The Role of Inflammation for Heart Disease Risk Cannot Be Determined by Correlations Between C-Reactive Protein and Risk Factors--Reply
Miller and Havas
Arch Intern Med 2006;166:1040-1041.
FULL TEXT
C-Reactive Protein and Insulin Resistance: An Independent Risk Factor for CVD?
Heubeck
DOC News 2006;3:10-11.
FULL TEXT
High sensitivity C-reactive protein in cardiovascular disease and type 2 diabetes: evidence for a clinical role?
Sattar
British Journal of Diabetes & Vascular Disease 2006;6:5-8.
Do Traditional CHD Risk Factors Explain CRP Elevations?
Journal Watch Cardiology 2005;2005:1-1.
FULL TEXT
C-Reactive Protein and Traditional Coronary Risk Factors
JWatch General 2005;2005:1-1.
FULL TEXT
C-Reactive Protein, Heart Disease Risk, and the Popular Media
Tracy and Kuller
Arch Intern Med 2005;165:2058-2060.
FULL TEXT
|