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(Circulation. 2007;115:1528-1536.)
© 2007 American Heart Association, Inc.
Coronary Heart Disease |
From the Cardiovascular Division, Brigham and Womens Hospital and Department of Medicine, Harvard Medical School, Boston, Mass (M.S.S., D.A.M., P.M.R., M.A.P., E.B.); George Washington University, Rockville, Md, and Washington, DC (K.A.J., M.M.R., J.H.); Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada (J.W.W.); National Heart, Lung, and Blood Institute, Bethesda, Md (M.J.D.); Mayo Clinic Foundation, Rochester, Minn (B.J.G.); and Department of Laboratory Medicine and Pathology, Childrens Hospital, Boston, Mass (N.R.).
Correspondence to Marc S. Sabatine, MD, MPH, Cardiovascular Division, Brigham and Womens Hospital, 75 Francis St, Boston, MA 02115. E-mail msabatine{at}partners.org
Received July 6, 2006; accepted January 5, 2007.
| Abstract |
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Methods and Results We measured hs-CRP in 3771 patients with stable coronary artery disease from the Prevention of Events With Angiotensin-Converting Enzyme Inhibition (PEACE) trial, a randomized placebo-controlled trial of the angiotensin-converting enzyme inhibitor trandolapril. Patients were followed up for a median of 4.8 years for cardiovascular death, myocardial infarction, or stroke, as well as new heart failure and diabetes. After adjustment for baseline characteristics and treatments, higher hs-CRP levels, even >1 mg/L, were associated with a significantly greater risk of cardiovascular death, myocardial infarction, or stroke (hs-CRP 1 to 3 mg/L: adjusted hazard ratio, 1.39; 95% CI, 1.06 to 1.81; P=0.016; hs-CRP >3 mg/L: adjusted hazard ratio, 1.52; 95% CI, 1.15 to 2.02; P=0.003). Similarly, elevated hs-CRP levels were an independent predictor of new heart failure (adjusted P<0.001 for trend) and new diabetes (adjusted P<0.001 for trend). There were no significant interactions between hs-CRP levels and the effects of trandolapril on any of the above outcomes.
Conclusions In stable coronary artery disease, an elevated hs-CRP level, even >1 mg/L, is a significant predictor of adverse cardiovascular events independently of baseline characteristics and treatments. An elevated hs-CRP does not appear to identify patients with stable coronary artery disease and preserved ejection fraction who derive particular benefit from angiotensin-converting enzyme inhibition.
Key Words: coronary disease C-reactive protein inflammation risk factors
| Introduction |
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Clinical Perspective p 1536
The data that do exist were generated largely before statin use was common.9,10 Two studies that recorded statin use reported that CRP was not a significant predictor of clinical events in patients on statin therapy.11,12 Moreover, these older studies used quantile analysis; thus, each study used different CRP concentrations to define patients at high risk. More recently, however, the Centers for Disease Control (CDC) and the American Heart Association (AHA) have issued a joint statement that recommends categorizing patients using predefined CRP cut points of <1, 1 to 3, and >3 mg/L into low-, average-, and high-risk categories, respectively.13
Our goal was to determine the independent prognostic significance of the CDC/AHA high-sensitivity (hs)-CRP risk categories in a large, contemporary cohort of patients with established but stable CAD who were receiving modern medical therapy. In addition, we wanted to explore the ability of hs-CRP to predict not only traditional cardiovascular events such as cardiovascular death, myocardial infarction (MI), and stroke but also other clinical outcomes with a potential inflammatory component, including new-onset heart failure and diabetes mellitus. We also sought to determine whether baseline hs-CRP levels affected the magnitude of effect of the angiotensin-converting enzyme (ACE) inhibitor trandolapril on cardiovascular and other clinical outcomes. To accomplish these goals, we measured hs-CRP in 3771 patients with stable CAD enrolled in the Prevention of Events With Angiotensin-Converting Enzyme Inhibition (PEACE) trial, a randomized placebo-controlled trial of the ACE inhibitor trandolapril.
| Methods |
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50% of the luminal diameter of at least 1 native vessel on coronary angiography) and preserved left ventricular systolic function were assigned randomly to trandolapril or placebo. Median follow-up was 4.8 years. Cardiovascular death, MI, and stroke were adjudicated in a blinded fashion by an independent morbidity and mortality review committee using medical records. New-onset heart failure was recorded if it was a documented fatal or hospitalized event. Diabetes mellitus was based on patient report of having been diagnosed by a physician.
Biomarker Analyses
As part of the study protocol, a sample of blood was obtained at the time of enrollment in 3778 subjects and at a follow-up visit (range, 6 months to 6 years from randomization; median, 3 years) in 2777 subjects. Samples were obtained at both baseline and a follow-up visit in 1961 subjects. Plasma was frozen and shipped to a central laboratory, where samples were stored at 70°C or colder until thawed for determination of biomarkers.
Aliquots were shipped frozen on dry ice to the Thrombolysis in Myocardial Infarction Biomarker Laboratory (Boston, Mass) for hs-CRP testing using the CRP-Latex (II) immunoturbidimetric assay (Denka Seiken, Tokyo, Japan). This assay has a minimal detectable concentration of 0.03 mg/L and a total imprecision of 5.1% and 2.5% at concentrations of 0.2 and 1.9 mg/L, respectively.16 All testing was performed by personnel blinded to clinical outcomes and treatment allocation.
Statistical Analyses
Patients were divided into 3 groups on the basis of the CDC/AHA-recommended hs-CRP cut points (<1, 1 to 3, and >3 mg/L). In terms of baseline characteristics, differences between continuous variables were assessed with ANOVA and between categorical variables with
2 tests. Cumulative event rate curves were calculated with the Kaplan-Meier method. Cox proportional hazards models were used to calculate hazard ratios (HRs) adjusted only for randomized treatment arm and then also adjusted for components of the Framingham coronary disease risk prediction score, including age, sex, total cholesterol, systolic blood pressure, diastolic blood pressure, history of diabetes, and current smoking, as well as body mass index, history of hypertension, history of MI, estimated glomerular filtration rate, and use of aspirin, ß-blockers, and lipid-lowering therapy. Schoenfeld residuals and the log survivor function were used to verify that the proportional-hazards assumption was not violated. Residual analysis was used to assess model fit. The collinearity index was used to check for linear combinations among covariates. For models predicting heart failure, left ventricular ejection fraction also was included. Analyses for incident diabetes were restricted to patients who did not report a history of diabetes at baseline (n=3151). Interaction between hs-CRP and treatment assignment was tested by incorporation of formal interaction terms in the models.
The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
| Results |
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Follow-up hs-CRP levels were measured after a median of 3 years (range, 6 months to 6 years) and did not differ significantly from baseline levels in either the placebo (median difference, 0 mg/L; interquartile range, 0.9 to 0.6 mg/L) or trandolapril (0.1 mg/L; interquartile range, 0.8 to 0.6 mg/L) arm.
Characteristics at enrollment of patients divided into the 3 hs-CRP categories are shown in Table 1. Higher baseline hs-CRP levels were significantly associated with female sex and traditional cardiovascular risk factors such as hypertension, diabetes, smoking, hypercholesterolemia, and higher body mass index. Lower baseline hs-CRP levels were seen in patients taking lipid-lowering therapy.
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Cardiovascular Death, MI, and Stroke
Higher baseline hs-CRP levels were associated with a significantly greater risk of the composite of cardiovascular death, MI, or stroke during an average of 4.8 years of follow-up (P<0.001; Figure 1). The absolute event rate of cardiovascular death, MI, or stroke over the course of follow-up was 7.4% in those with an hs-CRP <1 mg/L, 11.3% in those with an hs-CRP of 1 to 3 mg/L, and 12.8% in those with an hs-CRP >3 mg/L. In a Cox proportional hazards model, compared with those with an hs-CRP <1 mg/L, patients with an hs-CRP of 1 to 3 mg/L were at a 57% increased risk of suffering cardiovascular death, MI, or stroke (HR, 1.57; 95% CI, 1.21 to 2.03; P<0.001), and those with an hs-CRP >3 mg/L were at an 78% increased risk of suffering such adverse outcomes (HR, 1.78; 95% CI, 1.37 to 2.33; P<0.001). There was directional consistency for all 3 components of the composite end point (data not shown). Of note, compared with hs-CRP <1 mg/L, those with very high hs-CRP levels (>10 mg/L) were at especially high risk (HR, 2.27; 95% CI, 1.47 to 3.49; P<0.001). Higher levels of hs-CRP also predicted all-cause mortality (hs-CRP 1 to 3 mg/L: HR, 1.49; 95% CI, 1.10 to 2.01; P=0.009; hs-CRP >3 mg/L: HR, 1.78; 95% CI, 1.31 to 2.42; P<0.001).
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The association between hs-CRP and cardiovascular death, MI, or stroke was apparent both in patients randomized to trandolapril and in those randomized to placebo with no significant heterogeneity (Figure 2). Similarly, the effect of trandolapril on the incidence of cardiovascular death, MI, or stroke was similar in magnitude and not statistically significant in all 3 hs-CRP groups, with no evidence of heterogeneity.
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The association between an elevated hs-CRP and cardiovascular death, MI, or stroke was consistent across multiple clinically important subgroups. Specifically, regardless of the patients sex, coronary revascularization status, and use of lipid-lowering therapy, an elevated baseline hs-CRP was associated with an increased risk of cardiovascular death, MI, or stroke (Figure 3).
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After adjustment for elements from the Framingham risk model, including age, sex, total cholesterol, systolic blood pressure, diastolic blood pressure, history of diabetes, and smoking, as well as body mass index, history of hypertension, history of MI, estimated glomerular filtration rate, and aspirin, ß-blocker, and lipid-lowering therapy, hs-CRP remained a significant predictor of cardiovascular death, MI, or stroke (P=0.004 for trend; Figure 4). Compared with those with an hs-CRP <1 mg/L, patients with an hs-CRP 1 to 3 mg/L had an adjusted HR of 1.39 (95% CI, 1.06 to 1.81; P=0.016) and patients with an hs-CRP >3 mg/L had an adjusted HR of 1.52 (95% CI, 1.15 to 2.02, P=0.003) for cardiovascular death, MI, or stroke. The adjusted associations with individual components of the composite end point are shown in Table 2.
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New-Onset Heart Failure
Higher baseline hs-CRP levels also were associated with a significantly greater risk of new heart failure (106 cases) (P<0.001; Figure 5). The association between hs-CRP and heart failure was apparent both in patients randomized to trandolapril and in those randomized to placebo with no significant heterogeneity. Analogously, there was no statistically significant difference in the magnitude of the effect of trandolapril on the incidence of heart failure (25% reduction in the overall PEACE trial) across the CRP categories. Nonetheless, given the higher absolute event rates, only 35 patients with stable CAD and an hs-CRP >3 mg/L needed be treated with trandolapril for a median of 4.8 years to have prevented the development of 1 new case of heart failure. After adjustment for all of the previously mentioned covariates plus left ventricular ejection fraction, hs-CRP remained a significant predictor of heart failure (P<0.001 for trend). Compared with those with an hs-CRP <1 mg/L, patients with an hs-CRP of 1 to 3 mg/L had an adjusted HR of 1.55 (95% CI, 0.83 to 2.92; P=0.17) and patients with an hs-CRP >3 mg/L had an adjusted HR of 2.83 (95% CI, 1.54 to 5.22; P<0.001) for heart failure. In sensitivity analyses in which MI during the follow-up period was added as a time-varying covariate and in which patients who developed an interim MI were censored, an elevated hs-CRP remained a significant predictor of new heart failure (P<0.001 for trend for both fully adjusted models).
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New-Onset Diabetes Mellitus
Higher baseline hs-CRP levels also were associated with a significantly greater risk of new-onset diabetes mellitus among the 3151 patients without diabetes at enrollment (339 cases) (P<0.001; Figure 6). The association between hs-CRP and diabetes was apparent both in patients randomized to trandolapril and in those randomized to placebo with no significant heterogeneity. Similarly, the effect of trandolapril on the incidence of diabetes (17% reduction in the overall PEACE trial) was of comparable magnitude across the CRP categories.
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After adjustment for all of the previously mentioned covariates, hs-CRP remained a significant predictor of diabetes (P<0.001 for trend). Compared with those with an hs-CRP <1 mg/L, patients with an hs-CRP of 1 to 3 mg/L had an adjusted HR of 1.80 (95% CI, 1.34 to 2.42; P<0.001) and patients with an hs-CRP >3 mg/L had an adjusted HR of 1.96 (95% CI, 1.43 to 2.68; P<0.001) for diabetes.
| Discussion |
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The pathophysiological basis for the association between CRP and cardiovascular events remains a topic of intense study. It is well recognized that inflammation plays a critical role in the development and progression of atherosclerosis. CRP may be a marker of a proinflammatory milieu and, among the inflammatory biomarkers, may show the most robust association with clinical events because of its biological stability and ability to measure levels with a high degree of precision. CRP, however, also may be a direct risk factor.17 This supposition is supported by several lines of evidence, including the ability of CRP to activate complement and the colocalization of CRP and complement in ruptured atherosclerotic plaques,18 to bind to leukocytes and endothelial cells and to cause both upregulation of adhesion molecules and decreased production of nitric oxide,19 and to induce atherosclerosis, thrombosis, and increase infarct size in transgenic animal models.20
In analogous fashion, the link between CRP and heart failure may stem both from the cardiotoxic effects of associated proinflammatory cytokines such as tumor necrosis factor-
and from direct effects of CRP on secretion of endothelin-1 and upregulation of angiotensin type-1 receptors.21 With regard to the development of diabetes, activation of the innate immune system may contribute directly to the pathogenesis of type II diabetes mellitus.22 Associated proinflammatory cytokines such as tumor necrosis factor-
inhibit the tyrosine kinase activity of the insulin receptor.23 Additionally, CRP-induced endothelial dysfunction at the arteriolar and capillary levels may further contribute to insulin resistance.24
Although the underlying pathobiology remains under study, the overall epidemiological data supporting the association between CRP and adverse cardiovascular outcomes are clear. To that end, the CDC and the AHA have now recognized the prognostic utility of hs-CRP in a joint statement.13 Yet, as hs-CRP makes the transition from a tool used by researchers to one used by clinicians, several issues need to be resolved. In particular, the most appropriate cut points to use and the prognostic implications of CRP levels above those cut points in different populations remain incompletely defined.
With regard to specific previous studies, the European Concerted Action on Thrombosis investigators examined the prognostic utility of CRP in patients with angina. A high-sensitivity assay was not used, however, so CRP levels were undetectable in 30% of patients, and the association was of borderline statistical significance.25 A subsequent analysis specifically used a high-sensitivity assay and found an association between higher CRP levels and coronary events. In this population, however, which included both patients with stable and patients with unstable angina, there were only 75 coronary events during the 2 years of follow-up, and excess risk was demonstrated only when hs-CRP levels were in the top quintile (>3.6 mg/L), with no evidence for a gradient of risk across the lower quintiles.9 Previously, we have examined the association between hs-CRP and coronary events in a nested case-control study derived from the Cholesterol and Recurrent Events trial, which had enrolled patients with an MI in the preceding 3 to 20 months.26 Again, however, an increased risk of coronary events became apparent only with hs-CRP levels in the top quintile (in this case, >6.6 mg/L), with no evidence for a gradient of risk across the lower quintiles.11 Moreover, the association between CRP levels and coronary events was greatly attenuated and no longer significant in patients randomized to statin therapy. An association between hs-CRP and cardiovascular outcomes has been seen in 2 cohorts of patients with angiographically proven coronary artery disease.10,12 However, both studies included a mix of patients with stable and unstable angina, and the latter group is known to have acutely elevated levels of CRP and a worse prognosis.5 Moreover in one of the studies, only CRP in the top quartile (>12.7 mg/L) was a significant predictor of cardiovascular events, and this association was no longer apparent in patients taking a statin.12
In contrast, using a large cohort of patients with stable CAD, we have been able to significantly widen our understanding of the prognostic impact of particular hs-CRP levels. Specifically, we were able to prospectively apply the CDC/AHA hs-CRP cut points and demonstrate that an elevated level of hs-CRP, even >1 mg/L, was associated with an increased risk of cardiovascular death, MI, or stroke. The risk was consistent across all the elements of the composite end point and remained significant even after adjustment for elements of the Framingham Risk Score and other clinical and laboratory parameters. These data suggest that among patients with CAD, hs-CRP levels can be used to gain fundamental insight into which patients are, despite being asymptomatic at a given time and hence deemed clinically stable, in fact pathobiologically unstable and at higher risk for adverse cardiovascular events. However, an elevated hs-CRP does not appear to identify patients with stable CAD and preserved ejection fraction who derive particular benefit from ACE inhibition.
With regard to hs-CRP and new-onset heart failure and diabetes, there have been previous reports of associations, primarily in healthy individuals with few numbers of events and typically at much higher CRP levels.2732 We build on these observations by demonstrating that elevated levels of hs-CRP predict the development of new-onset heart failure and new-onset diabetes in patients with established CAD, even after adjustment for other relevant clinical and laboratory parameters. In the PEACE trial, treatment with an ACE inhibitor resulted in reductions in the development of both heart failure and diabetes. Previous investigators have postulated that the antiinflammatory properties of ACE inhibitors may have contributed to this effect. Yet we found no evidence for an interaction between hs-CRP, a global barometer of systemic inflammation, and the relative efficacy of trandolapril in reducing either heart failure or diabetes. Thus, our data suggest that the mechanisms by which ACE inhibition reduces the likelihood of these events are distinct from inflammation, at least as measured systemically by hs-CRP. To that end, we found no effect of ACE inhibition on hs-CRP levels, a finding that is supported by data from small, short-term studies of hs-CRP levels after initiation of ACE inhibition33,34 and is of interest given other data indicating that angiotensin receptor blockade therapy reduces hs-CRP.34,35
Potential limitations of the present study merit consideration. The study population was derived from a clinical trial, not a population cohort. Because PEACE excluded patients with heart failure, a left ventricular ejection fraction
40%, or a serum creatinine >2.0 mg/dL, we cannot comment on the utility of hs-CRP in patients with those characteristics. In general, though, the characteristics of patients in the present study are typical of patients with stable CAD. The cardiovascular event rates in PEACE were lower than seen in previous cohorts with stable CAD, possibly reflecting more modern and aggressive medical therapy and coronary revascularization.15 However, the relative health of this cohort should not alter the validity of our results. Only 19% of the patients were women. Although there was no statistically significant heterogeneity in terms of the predictive ability of hs-CRP in men versus in women, the small size of the latter subgroup created wide CIs that limit our ability to comment on optimal thresholds. Blood samples were obtained from only a subgroup of the participants in the overall PEACE trial. There were no clinically relevant differences between patients who did and did not participate in the biomarker substudy, however. Only a single baseline CRP measurement was used to categorize patients. As per the CDC/AHA guidelines, measurement ideally should be done twice (averaging results), and very high levels should prompt an investigation for sources of infection or inflammation.13 Fasting blood samples were not mandated, which prevented us from measuring fasting glucose, insulin, or lipid fractions. Heart failure and diabetes were not adjudicated by a clinical events committee. However, any misclassification should be random with respect to CRP status and thus should only bias toward the null hypothesis.
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| Acknowledgments |
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Sources of Funding
The PEACE trial was supported by a contract from the National Heart, Lung, and Blood Institute (N01 HC65149) and by Knoll Pharmaceuticals and Abbott Laboratories, which also provided the study medication. Drs Jablonski and Rice are supported in part by NIH/NHLBI grant N01 HC065149.
Disclosures
Dr Sabatine has received research grants and honoraria from and has served on scientific advisory boards for Bristol-Myers Squibb, has received research grant support from Roche, and has received honoraria for education materials from Novartis. Dr Morrow has received research grants from Bayer, Beckman, Biosite, Dade-Behring, and Roche; has received honoraria from Bayer, Beckman, Dade-Behring, and Roche; and has served on scientific advisory boards for Beckman and Ortho Diagnostics. Drs Jablonski and Rice have received research grants from Knoll Pharmaceuticals and Abbott Laboratories. Dr Gersh has served on scientific advisory boards for Amorcyte Incorporated, AstraZeneca, Bristol-Myers Squibb, Boston Scientific (Data Safety Monitoring Board), and CV Therapeutics. Dr Rifai has received research grants from Merck and honoraria from Merck and Ortho Diagnostics. Dr Ridker has received research grants from AstraZeneca, Novartis, and sanofi-aventis; has received honoraria from AstraZeneca and Novartis; has served on scientific advisory boards for Dade-Behring and ISIS; and is the coinventor on a patent held by Brigham and Womens Hospital for the use of inflammatory biomarkers in cardiovascular disease. Dr Pfeffer has received research grant support from Abbott, Amgen, Atherogenics, Novartis, and sanofi-aventis; has served on scientific advisory boards for AstraZeneca, BMS, Genzyme, Novartis, and Pfizer; and is the coinventor on patent held by Brigham and Womens Hospital for the use of inhibitors of the renin-angiotensin system in survivors of MI. Dr Braunwald has received research grant support and honoraria from AstraZeneca, Bristol-Myers Squibb, CV Therapeutics, Merck, Pfizer, Beckman Coulter, Biosite, Novartis, Ortho-Clinical Diagnostics, Roche, and Schering Plough and is the coinventor on patent held by Brigham and Womens Hospital for the use of inhibitors of the renin-angiotensin system in survivors of MI.
| References |
|---|
|
|
|---|
2. Ridker PM, Hennekens CH, Buring JE, Rifai N. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342: 836843.
3. Koenig W, Lowel H, Baumert J, Meisinger C. 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. 2004; 109: 13491353.
4. Danesh J, Wheeler JG, Hirschfield GM, Eda S, Eiriksdottir G, Rumley A, Lowe GDO, Pepys MB, Gudnason V. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004; 350: 13871397.
5. Liuzzo G, Biasucci LM, Gallimore JR, Grillo RL, Rebuzzi AG, Pepys MB, Maseri A. The prognostic value of C-reactive protein and serum amyloid a protein in severe unstable angina. N Engl J Med. 1994; 331: 417424.
6. Morrow DA, Rifai N, Antman EM, Weiner DL, McCabe CH, Cannon CP, Braunwald E. C-reactive protein is a potent predictor of mortality independently and in combination with troponin T in acute coronary syndromes: a TIMI 11A substudy. J Am Coll Cardiol. 1998; 31: 14601465.
7. Lindahl B, Toss H, Siegbahn A, Venge P, Wallentin L, for the FRISC Study Group. Fragmin during instability in coronary artery disease: markers of myocardial damage and inflammation in relation to long-term mortality in unstable coronary artery disease. N Engl J Med. 2000; 343: 11391147.
8. Ridker PM, Cannon CP, Morrow D, Rifai N, Rose LM, McCabe CH, Pfeffer MA, Braunwald E. C-reactive protein levels and outcomes after statin therapy. N Engl J Med. 2005; 352: 2028.
9. Haverkate F, Thompson SG, Pyke SD, Gallimore JR, Pepys MB. Production of C-reactive protein and risk of coronary events in stable and unstable angina: European Concerted Action on Thrombosis and Disabilities Angina Pectoris Study Group. Lancet. 1997; 349: 462466.[CrossRef][Medline] [Order article via Infotrieve]
10. Zebrack JS, Muhlestein JB, Horne BD, Anderson JL. C-reactive protein and angiographic coronary artery disease: independent and additive predictors of risk in subjects with angina. J Am Coll Cardiol. 2002; 39: 632637.
11. Ridker PM, Rifai N, Pfeffer MA, Sacks FM, Moye LA, Goldman S, Flaker GC, Braunwald E. Inflammation, pravastatin, and the risk of coronary events after myocardial infarction in patients with average cholesterol levels: Cholesterol and Recurrent Events (CARE) Investigators. Circulation. 1998; 98: 839844.
12. Bickel C, Rupprecht HJ, Blankenberg S, Espiniola-Klein C, Schlitt A, Rippin G, Hafner G, Treude R, Othman H, Hofmann KP, Meyer J. Relation of markers of inflammation (C-reactive protein, fibrinogen, von Willebrand factor, and leukocyte count) and statin therapy to long-term mortality in patients with angiographically proven coronary artery disease. Am J Cardiol. 2002; 89: 901908.[CrossRef][Medline] [Order article via Infotrieve]
13. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F. 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: 499511.
14. Pfeffer MA, Domanski M, Rosenberg Y, Verter J, Geller N, Albert P, Hsia J, Braunwald E. Prevention of events with angiotensin-converting enzyme inhibition (the PEACE study design): Prevention of Events With Angiotensin-Converting Enzyme Inhibition. Am J Cardiol. 1998; 82: 25H30H.[Medline] [Order article via Infotrieve]
15. Braunwald E, Domanski MJ, Fowler SE, Geller NL, Gersh BJ, Hsia J, Pfeffer MA, Rice MM, Rosenberg YD, Rouleau JL. Angiotensin-converting-enzyme inhibition in stable coronary artery disease. N Engl J Med. 2004; 351: 20582068.
16. Roberts WL, Moulton L, Law TC, Farrow G, Cooper-Anderson M, Savory J, Rifai N. Evaluation of nine automated high-sensitivity C-reactive protein methods: implications for clinical and epidemiological applications, part 2. Clin Chem. 2001; 47: 418425.
17. Lagrand WK, Visser CA, Hermens WT, Niessen HW, Verheugt FW, Wolbink GJ, Hack CE. C-reactive protein as a cardiovascular risk factor: more than an epiphenomenon? Circulation. 1999; 100: 96102.
18. Lagrand WK, Niessen HW, Wolbink GJ, Jaspars LH, Visser CA, Verheugt FW, Meijer CJ, Hack CE. C-reactive protein colocalizes with complement in human hearts during acute myocardial infarction. Circulation. 1997; 95: 97103.
19. Devaraj S, Du Clos TW, Jialal I. Binding and internalization of C-reactive protein by Fcgamma receptors on human aortic endothelial cells mediates biological effects. Arterioscler Thromb Vasc Biol. 2005; 25: 13591363.
20. Pepys MB, Hirschfield GM, Tennent GA, Gallimore JR, Kahan MC, Bellotti V, Hawkins PN, Myers RM, Smith MD, Polara A, Cobb AJ, Ley SV, Aquilina JA, Robinson CV, Sharif I, Gray GA, Sabin CA, Jenvey MC, Kolstoe SE, Thompson D, Wood SP. Targeting C-reactive protein for the treatment of cardiovascular disease. Nature. 2006; 440: 12171221.[CrossRef][Medline] [Order article via Infotrieve]
21. Wang CH, Li SH, Weisel RD, Fedak PW, Dumont AS, Szmitko P, Li RK, Mickle DA, Verma S. C-reactive protein upregulates angiotensin type 1 receptors in vascular smooth muscle. Circulation. 2003; 107: 17831790.
22. Pickup JC. Inflammation and activated innate immunity in the pathogenesis of type 2 diabetes. Diabetes Care. 2004; 27: 813823.
23. Hotamisligil GS, Peraldi P, Budavari A, Ellis R, White MF, Spiegelman BM. IRS-1-mediated inhibition of insulin receptor tyrosine kinase activity in TNF-alpha- and obesity-induced insulin resistance. Science. 1996; 271: 665668.[Abstract]
24. Hu FB, Stampfer MJ. Is type 2 diabetes mellitus a vascular condition? Arterioscler Thromb Vasc Biol. 2003; 23: 17151716.
25. Thompson SG, Kienast J, Pyke SD, Haverkate F, van de Loo JC. Hemostatic factors and the risk of myocardial infarction or sudden death in patients with angina pectoris: European Concerted Action on Thrombosis and Disabilities Angina Pectoris Study Group. N Engl J Med. 1995; 332: 635641.
26. Sacks FM, Pfeffer MA, Moye LA, Rouleau JL, Rutherford JD, Cole TG, Brown L, Warnica JW, Arnold JMO, Wun C-C, Davis BR, Braunwald E, for the Cholesterol and Recurrent Events Trial Investigators. The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. N Engl J Med. 1996; 335: 10011009.
27. Elster SK, Braunwald E, Wood HF. A study of C-reactive protein in the serum of patients with congestive heart failure. Am Heart J. 1956; 51: 533541.[CrossRef][Medline] [Order article via Infotrieve]
28. Gottdiener JS, Arnold AM, Aurigemma GP, Polak JF, Tracy RP, Kitzman DW, Gardin JM, Rutledge JE, Boineau RC. Predictors of congestive heart failure in the elderly: the Cardiovascular Health Study. J Am Coll Cardiol. 2000; 35: 16281637.
29. Vasan RS, Sullivan LM, Roubenoff R, Dinarello CA, Harris T, Benjamin EJ, Sawyer DB, Levy D, Wilson PW, DAgostino RB. Inflammatory markers and risk of heart failure in elderly subjects without prior myocardial infarction: the Framingham Heart Study. Circulation. 2003; 107: 14861491.
30. Suleiman M, Khatib R, Agmon Y, Mahamid R, Boulos M, Kapeliovich M, Levy Y, Beyar R, Markiewicz W, Hammerman H, Aronson D. Early inflammation and risk of long-term development of heart failure and mortality in survivors of acute myocardial infarction predictive role of C-reactive protein. J Am Coll Cardiol. 2006; 47: 962968.
31. Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM. C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA. 2001; 286: 327334.
32. Freeman DJ, Norrie J, Caslake MJ, Gaw A, Ford I, Lowe GD, OReilly DS, Packard CJ, Sattar N. C-reactive protein is an independent predictor of risk for the development of diabetes in the West of Scotland Coronary Prevention Study. Diabetes. 2002; 51: 15961600.
33. Pahor M, Franse LV, Deitcher SR, Cushman WC, Johnson KC, Shorr RI, Kottke-Marchant K, Tracy RP, Somes GW, Applegate WB. Fosinopril versus amlodipine comparative treatments study: a randomized trial to assess effects on plasminogen activator inhibitor-1. Circulation. 2002; 105: 457461.
34. Schieffer B, Bunte C, Witte J, Hoeper K, Boger RH, Schwedhelm E, Drexler H. Comparative effects of AT1-antagonism and angiotensin-converting enzyme inhibition on markers of inflammation and platelet aggregation in patients with coronary artery disease. J Am Coll Cardiol. 2004; 44: 362368.
35. Ridker PM, Danielson E, Rifai N, Glynn RJ. Valsartan, blood pressure reduction, and C-reactive protein: primary report of the Val-MARC trial. Hypertension. 2006; 48: 7379.
36. Ridker PM, Rifai N, Clearfield M, Downs JR, Weis SE, Miles JS, Gotto AMJ, 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: 19591965.
37. Morrow DA, de Lemos JA, Sabatine MS, Wiviott SD, Blazing MA, Shui A, Rifai N, Califf RM, Braunwald E. Clinical relevance of C-reactive protein during follow-up of patients with acute coronary syndromes in the Aggrastat-to-Zocor Trial. Circulation. 2006; 114: 281288.
38. Ridker PM, Morrow DA, Rose LM, Rifai N, Cannon CP, Braunwald E. Relative efficacy of atorvastatin 80 mg and pravastatin 40 mg in achieving the dual goals of low-density lipoprotein cholesterol <70 mg/dl and C-reactive protein <2 mg/l: an analysis of the PROVE-IT TIMI-22 trial. J Am Coll Cardiol. 2005; 45: 16441648.
39. Ridker PM. Rosuvastatin in the primary prevention of cardiovascular disease among patients with low levels of low-density lipoprotein cholesterol and elevated high-sensitivity C-reactive protein: rationale and design of the JUPITER trial. Circulation. 2003; 108: 22922297.
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