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Circulation. 1999;99:237-242

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(Circulation. 1999;99:237-242.)
© 1999 American Heart Association, Inc.


Clinical Investigation and Reports

C-Reactive Protein, a Sensitive Marker of Inflammation, Predicts Future Risk of Coronary Heart Disease in Initially Healthy Middle-Aged Men

Results From the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Augsburg Cohort Study, 1984 to 1992

Wolfgang Koenig, MD; Malte Sund, MS; Margit Fröhlich, MD; Hans-Günther Fischer, MD, PhD; Hannelore Löwel, MD; Angela Döring, MD; Winston L. Hutchinson, PhD; Mark B. Pepys, MD

From the Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany (W.K., M.F., H.-G.F.); GSF, National Research Center for Environment and Health, MEDIS Institute (M.S.) and Institute of Epidemiology (H.L., A.D.), Neuherberg, Germany; and Immunological Medicine Unit, Imperial College School of Medicine, Hammersmith Hospital, London, UK (W.L.H., M.B.P.).

Correspondence to Wolfgang Koenig, MD, Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Robert-Koch Str 8, D-89081 Ulm, Germany. E-mail wolfgang.koenig{at}medizin.uni-ulm.de


*    Abstract
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Background—Inflammatory reactions in coronary plaques play an important role in the pathogenesis of acute atherothrombotic events; inflammation elsewhere is also associated with both atherogenesis generally and its thrombotic complications. Recent studies indicate that systemic markers of inflammation can identify subjects at high risk of coronary events.

Methods and Results—We used a sensitive immunoradiometric assay to examine the association of serum C-reactive protein (CRP) with the incidence of first major coronary heart disease (CHD) event in 936 men 45 to 64 years of age. The subjects, who were sampled at random from the general population, participated in the first MONICA Augsburg survey (1984 to 1985) and were followed for 8 years. There was a positive and statistically significant unadjusted relationship, which was linear on the log-hazards scale, between CRP values and the incidence of CHD events (n=53). The hazard rate ratio (HRR) of CHD events associated with a 1-SD increase in log-CRP level was 1.67 (95% CI, 1.29 to 2.17). After adjustment for age, the HRR was 1.60 (95% CI, 1.23 to 2.08). Adjusting further for smoking behavior, the only variable selected from a variety of potential confounders by a forward stepping process with a 5% change in the relative risk of CRP as the selection criterion, yielded an HRR of 1.50 (95% CI, 1.14 to 1.97).

Conclusions—These results confirm the prognostic relevance of CRP, a sensitive systemic marker of inflammation, to the risk of CHD in a large, randomly selected cohort of initially healthy middle-aged men. They suggest that low-grade inflammation is involved in pathogenesis of atherosclerosis, especially its thrombo-occlusive complications.


Key Words: proteins • coronary disease • incidence • epidemiology


*    Introduction
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Although atherosclerosis is clearly multifactorial, it is now universally recognized that inflammation within the lesions contributes importantly to their initiation and progression,1 whereas histopathological and immunocytochemical observations suggest that active inflammatory processes may destabilize the fibrous cap tissue, thus triggering plaque rupture and enhancing the risk of coronary thrombosis.2 On the other hand, prospective epidemiological studies have shown a strong and consistent association between clinical manifestations of atherothrombotic disease and systemic markers of inflammation, including white blood cell count,3 and various hemostatic proteins that are also acute-phase reactants such as fibrinogen,4 plasminogen-activator inhibitor type-1,5 and von Willebrand factor.6 A potentially important role of inflammation in the onset of acute ischemic syndromes is indicated by neutrophil activation7 and elevated levels of various acute-phase proteins8 9 10 in unstable angina and the notable temporal relationship between acute or chronic infections and coronary events.11 12 13

C-reactive protein (CRP), the classic acute-phase protein, is not directly involved in the coagulation process but is an exquisitely sensitive objective marker of inflammation, tissue damage, and infection.14 Its plasma half-life ({approx}19 hours) is rapid but identical under all conditions, in contrast to the coagulation proteins and virtually all other major acute-phase reactants, so the synthesis rate of CRP is the sole determinant of its plasma concentration.15 Excellent anti-CRP antibodies and a well-established World Health Organization (WHO) international reference standard for CRP16 are available, so precise, sensitive, and robust clinical serum/plasma assays can be readily undertaken.17 18 CRP measurement thus has many advantages in the detection and monitoring of the acute-phase response in general and the relation to atheroma and its complications in particular. Indeed, the recent use of sensitive CRP assays in a large prospective study in patients with angina pectoris19 and in 3 nested case-control studies in initially healthy subjects20 21 22 showed a consistent positive association between baseline CRP levels and cardiovascular end points. Subjects from 2 of these studies were drawn from participants in clinical trials,20 21 raising the question of their representativeness, and 1 study22 included only elderly subjects. Thus, to confirm the reported association between CRP levels and coronary heart disease (CHD) risk in large, unselected populations, we have measured serum CRP in 936 initially healthy men (age, 45 to 64 years) drawn from a random sample of the general population who took part in the first MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Augsburg survey in 1984 to 1985. On the basis of an 8-year follow-up, we report here the prognostic significance of CRP values for the occurrence of a first major coronary event in these men.


*    Methods
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MONICA Project, Augsburg Center
The objectives and design of the MONICA project have been described elsewhere.23 24 The first cross-sectional study of the MONICA Augsburg (Germany) center was carried out in 1984 to 1985. The study population and data collection procedures have also been reported previously.25 26 Briefly, 4022 of the 5069 eligible individuals 25 to 64 years of age initially sampled at random from a study population of 282 279 inhabitants of a mixed urban/rural area participated in the study (response rate, 79.3%). The present report is based on all men (age, 45 to 64 years) who participated in the first survey (n=1074). Of these subjects, 43 were not included in the analyses because of previous myocardial infarction. Eight were excluded because their medical histories suggested disease other than CHD, possibly associated with an acute-phase reaction. In the remaining 1023 men, measurements of CRP were missing from 74 (7.2%); in 13 other men, at least 1 control variable could not be obtained. Thus, a total of 936 men 45 to 64 years of age had data on all variables studied.

Survey Methods
Participants completed a standardized questionnaire, including medical history, lifestyle, and drug history.26 Blood pressure, body height (m), body weight (kg), body mass index (BMI, m/kg2), smoking behavior, and alcohol consumption (g/d) were determined as described elsewhere.26 27 28 Leisure-time physical activity (LTPA) was assessed on a 4-level graded scale for winter and summer time (0, <1, 1 to 2, and >2 h/wk).29 The number of education years was calculated on the basis of the highest level of formal education completed.

Laboratory Procedures
Nonfasting blood samples were taken from all subjects at baseline in 1984 to 1985 and stored at -70°C. Serum concentrations of CRP were measured in a sensitive immunoradiometric assay with monospecific polyclonal and monoclonal antibodies produced by immunization with highly purified CRP.15 Briefly, 96-well microtiter plates (Costar Co) activated with N-oxysuccinimide were coated with the IgG fraction of polyclonal goat anti-human CRP antiserum offered at 100 µg/mL. Serum samples, 100 µL at 1:100 dilution, were added to each well and incubated at 37°C for 4 hours and at 4°C overnight. The plates were then washed, and bound CRP was detected by incubation with 125I-radiolabeled monoclonal anti-human CRP antibody, followed by rinsing and counting of retained radioactivity in each well. CRP concentrations were determined by use of a 5-point standard curve calibrated with the WHO international reference standard for CRP immunoassay, standard 85/506, produced at the Immunological Medicine Unit, Royal Postgraduate Medical School (London, UK). Recovery of pure CRP15 spiked into serum was 100%, and the assay range was 0.05 to 10 mg/L, with coefficients of variation within assays of 4% and between-assay coefficients of {approx}12% across the whole range. Samples with values >10 mg/L were remeasured at appropriately higher dilutions. All samples were measured in triplicate, and values were averaged for analysis. Total and HDL cholesterol levels were measured by enzymatic methods.

Follow-Up Procedure
Within the population-based Augsburg Coronary Event Register, all death certificates of residents of the study area who were 25 to 74 years of age were screened in the 3 health departments for suspected cases of acute myocardial infarction (AMI) occurring since October 1, 1984. Additional information was gained from standardized questionnaires sent from the health departments to the last attending physician and/or coroner. On the basis of both the information from the death certificate and the questionnaire, the register team decided whether a case fulfilled the MONICA algorithm for fatal CHD. Data on cases of fatal and nonfatal AMI occurring in hospital were actively collected by register nurses. No information could be obtained on nonfatal events in patients outside hospital (<1% of AMI patients) or on patients with silent AMI. Detailed information on the case-finding procedure and on data-quality aspects has been published elsewhere.30

An incident was defined as a first fatal or nonfatal AMI, including sudden cardiac death. According to the MONICA manual,27 31 diagnosis of a major CHD event was based on symptoms, cardiac enzymes (creatine kinase, aspartate aminotransferase, and lactate dehydrogenase), and serial changes from 12-lead ECGs evaluated by Minnesota coding,32 necropsy results, and history of CHD in fatal cases.

Addresses of all participants in the first survey (1984 to 1985) were checked at 2-year intervals, and information on survival was collected. If a subject had died, information on the cause of death was obtained. The results reported here comprise the 8-year follow-up of participants in the first survey (as of December 31, 1992).

Statistical Analysis
The number of events was rather small relative to the number of variables considered (10 to 20 events per regression term should be available for a reliable analysis). We therefore used variables in their simplest form if warranted, used a forward stepping procedure to discard unneeded variables, and did not investigate interactions.

CRP was used as a continuous variable, transformed to natural logarithms for greater symmetry of the distribution (ln mg/L). Covariables controlled for possible confounding effects were age (years), BMI (ln kg/m2), total cholesterol (ln mg/dL), HDL cholesterol (square root mg/dL), smoking status (never smoked, ex-smoker, current smoker), alcohol consumption (square root g/d), systolic and diastolic blood pressures (ln mm Hg), education (ln years), winter and summer LTPA (0, <1, 1 to 2, and >2 h/wk), and diabetes by history (no, yes). The categorical variables, recognizing their ordinal character, were used as continuous variables, transformed to orthogonal polynomial coefficients if necessary.

Cox proportional hazards regression33 was used to model time to event in the presence of censoring. An individual was considered censored when he died from another cause or left the study area or when the observation period ended. The crude relation of CHD and CRP was checked for departures from linearity, poorly fitted observations, overly influential observations, and validity of the proportional hazards assumption by use of residual plots and nonparametric smoothing functions.

To investigate possible nonlinear transformations of the covariables for adjusting the crude relation, we compared the hazard rate ratio (HRR) for CRP from the model including the covariable in its simplest form with HRR from models including more complex forms (polynomials, splines). Model validity was assessed in a fashion analogous to the crude analysis. The resulting variables were then added to the crude model in a forward stepping manner, at each step adding the variable that changed the absolute value of HRR the most when added to the variable terms already in the model. Age was forced into the model from the beginning. As a stepping criterion, we used 5% change, although some authors recommend 10%.34

All computations and graphics were performed on a personal computer under Windows NT 4 with SAS software, version 6.12,35 and S-PLUS, version 4.0.36


*    Results
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The empirical cumulative distribution of log-CRP values in our study sample of 936 men 45 to 64 years of age was remarkably smooth and symmetrical (coefficient of skewness, 0.13; SE=0.08) (Figure 1Down), and the coefficient of kurtosis was also close to zero (0.09; SE=0.16), indicating that CRP levels in this population approximated a log-normal distribution. The minimal CRP value was 0.05 mg/L, the maximal value was 90.8 mg/L, and the antilogs of the mean (geometric mean) and SD were 1.623 and 3.132 mg/L, respectively.



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Figure 1. Empirical distribution of CRP on logarithmic scale. Geometric mean (SD) is shown.

The cohort was followed up for a maximum of 8.2 years. During this time, 53 first major CHD events (5.7%) occurred, of which 26 were fatal and 27 were nonfatal. Of the 53 events, 48 occurred after 7.5 years, together with 72 censored observations that were fairly evenly distributed over the time period. The last event occurred after 7.9 years, at which point there was a total of 433 censored observations, and the estimated survival probability was 0.94. The average annual incidence rate was 7.64 per 1000 person-years (95% CI, 5.72 to 9.99).

Table 1Down reports unadjusted associations of CRP levels with the covariables, computed as group means of categorized variables. The means are back-transformed to the original scale by taking antilogs, thus representing geometric means. The probability value is the significance level obtained for testing the simultaneous equality of all group means in a 1-way ANOVA. All tests are significant at the 5% level except that for HDL cholesterol, but the tests for alcohol consumption, education, and work activity are only very slightly significant. Of the other variables, total cholesterol shows a U-shaped relation; age, BMI, and smoking exhibit a graded positive association, and diabetes showed a positive association. Blood pressure also is positively related, with the first 2 categories having essentially the same CRP levels. The 2 LTPA variables show nonmonotonic behavior, perhaps with a slight downward linear trend.


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Table 1. CRP Means and SEs (Antilogs) in Subgroups of Categorical Covariables, Including Probability Value for Testing the Simultaneous Equality of the Means: MONICA Augsburg Cohort Study, 1984–1992

Analysis
Modeling the crude association of CRP concentration and CHD by means of a Cox regression resulted in a linear relationship of log hazards and CRP. There was no indication of a nonlinear relation not accounted for by the linear CRP term; no observation showed unusual behavior in the model; and the proportional hazard assumption appeared to be tenable throughout the observation period. The procedure for prechecking the covariables for nonlinearities, as outlined in the Statistical Analysis section, did not indicate the need to abandon the linear terms. The variable selection procedure chosen, forcing age into the model, resulted in 1 variable, namely smoking, changing the HRR, ignoring the sign, by >5% (-5.4%). The next variable would have been BMI, entering with a change of 2.3%, then total cholesterol (1.9%), and eventually HDL cholesterol (-1.7%). The remaining variables produced changes <1%.

Table 2Down presents selected regression statistics for the crude model, age-adjusted model, and 5%-change model, with adjustment for age and smoking. The table includes the regression coefficients of the linear log-transformed CRP variable and their 95% confidence limits. It also gives formulas for computing the HRRs for 2 arbitrary CRP values. For instance, for the 90th percentile of the CRP distribution (6.5 mg/L, read from Figure 1Up) and the 10th percentile (0.4 mg/L), the fully adjusted HRR was (6.5/0.4)0.3557=2.69 [lower 95% confidence limit, (6.5/0.4)0.1169=1.39; upper limit, (6.5/0.4)0.5945=5.25].


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Table 2. CRP Regression Coefficients From Cox Regressions of CHD Incidence on CRP in Various Degrees of Adjustment: MONICA Augsburg Cohort Study, 1984–1992

Table 3Down presents HRRs for an increase in CRP concentration of 1 SD of the log-transformed values (1.142 ln mg/L) and corresponding 95% confidence limits for the fully adjusted model.


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Table 3. HRRs for a 1-SD CRP Increase on the Log-Transformed Scale for the Models of Table 2Up: MONICA Augsburg Cohort Study, 1984–1992

Figure 2Down shows a plot of HRRs for CRP quintiles relative to the first quintile. These HRRs were obtained by computing the median CRP value within each quintile and using the ratio of the 2 medians in the formula for HRR in Table 2Up. The unadjusted HRR, age-adjusted HRR, and fully adjusted HRR, together with 95% confidence limits for the fully adjusted HRR, are shown.



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Figure 2. HRRs for CRP quintiles, relative to the first quintile, in various adjustments. HRRs were computed for quintile medians listed in graph by use of formulas given in footnote of Table 2Up.


*    Discussion
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*Discussion
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These prospective data from a large random sample of initially healthy middle-aged men demonstrate a strong relationship between CRP and the future risk of a fatal or nonfatal coronary event. This relationship is linear in the log hazards and independent of a variety of potential confounders. A 1-SD increase in the log-transformed value of CRP was associated with a remarkable 50% increase in coronary risk, and subjects in the highest quintile of the CRP distribution thus showed a 2.6-fold increase in their risk of a future coronary event. These data confirm a recent nested case-control study in middle-aged US male physicians.21 Case-control data from the Cardiovascular Health Study showed that CRP levels may be able to predict coronary risk in men and women >65 years of age with and without evidence of subclinical atherosclerotic disease,22 and another case-control study among participants in MRFIT related CRP values to CHD mortality in healthy but high-risk individuals.20 The prospective ECAT study in patients with angina pectoris showed that CRP levels also predict coronary events in symptomatic subjects over a 2-year period.19 Interestingly, the distribution of CRP values was very similar in all these studies, with 55% to 80% of CRP values being <2 mg/L, which is well below the range seen in routine use of CRP measurement for monitoring acute or chronic active inflammatory, infective, or tissue-damaging disorders. The strength of the association between CRP and future coronary events was also remarkably consistent in these studies, with a relative risk of 2 to 3 in comparisons of the top and bottom quintiles or quartiles of the CRP distribution.

In our study, CRP was also related to several cardiovascular risk factors that had been reported earlier.37 Particularly strong unadjusted positive associations were found with age, BMI, smoking, and history of diabetes. Current smokers had CRP concentrations twice as high as nonsmokers, but interestingly, subjects who had never smoked had values similar to ex-smokers. Obese subjects (BMI >=30 kg/m2) also had CRP concentrations twice as high as those with BMI <25 kg/m2. Despite these associations, multivariable analysis clearly showed an independent contribution of CRP in the prediction of future coronary events.

CRP is an extremely sensitive, nonspecific, acute-phase reactant produced in response to most forms of tissue injury, infection, and inflammation and regulated by cytokines, including interleukin-6, interleukin-1, and tumor necrosis factor-{alpha}.38 Although reportedly expressed by some mononuclear populations, these cells do not secrete CRP, and circulating CRP is exclusively produced by hepatocytes.39 40 The stimuli responsible for the generally modest elevations in plasma CRP predictively associated with coronary events are not known. They may arise in the atheromatous lesions themselves and reflect the extent of atherosclerosis and the local inflammation that predisposes to plaque instability, rupture, and occlusive thrombosis. On the other hand, increased CRP production may result from inflammation elsewhere in the body that is somehow proatherogenic and procoagulant. Chronic low-grade infections may be associated with increased risk of CHD,41 42 as is the chronic inflammation of rheumatoid arthritis.43 Many coagulation proteins, including fibrinogen, are acute-phase reactants; elevation of fibrinogen is a well-recognized risk factor for coronary events,4 and increased CRP values may just be a signal of the acute-phase response in general.

However, there is substantial evidence that CRP may contribute directly to the pathogenesis of atherothrombosis. CRP is a ligand binding protein that binds to the plasma membranes of damaged cells.44 45 Aggregated but not soluble native CRP selectively binds LDL and VLDL from whole plasma and, as we have previously proposed, could thereby participate in their atherogenic accumulation.46 Complexed CRP also activates complement and can be proinflammatory,47 whereas CRP has recently been found to be a potent stimulator of tissue factor production by macrophages in vitro.48 Tissue factor is the main initiator of coagulation in vivo, and its local concentration in the arterial wall is clearly related to coronary thrombotic events.49 50 51 There are conflicting reports about the presence of CRP in atheromatous lesions,52 53 54 and claims that CRP affects platelet function are also controversial.55 However, the capacity of CRP to enhance tissue factor production suggests a possible causative link between increased CRP values and coronary events.

Although the number of cases was relatively small, results of the present prospective study of a large cohort of initially healthy middle-aged men indicate that modest elevations in serum CRP concentration significantly predict future coronary events. These observations strengthen the association between low-grade inflammation and the progression and complications of atherosclerosis. Further work is required to clarify the underlying pathophysiological mechanisms, but modulation of the acute-phase response generally and/or the functions of specific acute-phase proteins specifically, especially CRP, already constitutes novel potential therapeutic targets in CHD.


*    Acknowledgments
 
This work was supported in part by MRC program grant G790051 to Dr Pepys.

Received April 2, 1998; revision received September 30, 1998; accepted October 5, 1998.


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I. Tzoulaki, G. D. Murray, A. J. Lee, A. Rumley, G. D.O. Lowe, and F. G. R. Fowkes
C-Reactive Protein, Interleukin-6, and Soluble Adhesion Molecules as Predictors of Progressive Peripheral Atherosclerosis in the General Population: Edinburgh Artery Study
Circulation, August 16, 2005; 112(7): 976 - 983.
[Abstract] [Full Text] [PDF]


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J Am Coll CardiolHome page
A. Khera, D. K. McGuire, S. A. Murphy, H. G. Stanek, S. R. Das, W. Vongpatanasin, F. H. Wians Jr, S. M. Grundy, and J. A. de Lemos
Race and Gender Differences in C-Reactive Protein Levels
J. Am. Coll. Cardiol., August 2, 2005; 46(3): 464 - 469.
[Abstract] [Full Text] [PDF]


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CirculationHome page
C. Meisinger, J. Baumert, N. Khuseyinova, H. Loewel, and W. Koenig
Plasma Oxidized Low-Density Lipoprotein, a Strong Predictor for Acute Coronary Heart Disease Events in Apparently Healthy, Middle-Aged Men From the General Population
Circulation, August 2, 2005; 112(5): 651 - 657.
[Abstract] [Full Text] [PDF]


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Diabetes CareHome page
W.H. L. Kao, W.-C. Hsueh, D. L. Rainwater, D. H. O'Leary, I. G. Imumorin, M. P. Stern, and B. D. Mitchell
Family History of Type 2 Diabetes Is Associated With Increased Carotid Artery Intimal-Medial Thickness in Mexican Americans
Diabetes Care, August 1, 2005; 28(8): 1882 - 1889.
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J. Clin. Endocrinol. Metab.Home page
A. L. Sunehag, G. Toffolo, M. Campioni, D. M. Bier, and M. W. Haymond
Effects of Dietary Macronutrient Intake on Insulin Sensitivity and Secretion and Glucose and Lipid Metabolism in Healthy, Obese Adolescents
J. Clin. Endocrinol. Metab., August 1, 2005; 90(8): 4496 - 4502.
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Circ. Res.Home page
C. Liu, S. Wang, A. Deb, K. A. Nath, Z. S. Katusic, J. P. McConnell, and N. M. Caplice
Proapoptotic, Antimigratory, Antiproliferative, and Antiangiogenic Effects of Commercial C-Reactive Protein on Various Human Endothelial Cell Types In Vitro: Implications of Contaminating Presence of Sodium Azide in Commercial Preparation
Circ. Res., July 22, 2005; 97(2): 135 - 143.
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CirculationHome page
L. R. Tannock, K. D. O'Brien, R. H. Knopp, B. Retzlaff, B. Fish, M. H. Wener, S. E. Kahn, and A. Chait
Cholesterol Feeding Increases C-Reactive Protein and Serum Amyloid A Levels in Lean Insulin-Sensitive Subjects
Circulation, June 14, 2005; 111(23): 3058 - 3062.
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Proc. Natl. Acad. Sci. USAHome page
G. M. Hirschfield, J. R. Gallimore, M. C. Kahan, W. L. Hutchinson, C. A. Sabin, G. M. Benson, A. P. Dhillon, G. A. Tennent, and M. B. Pepys
Transgenic human C-reactive protein is not proatherogenic in apolipoprotein E-deficient mice
PNAS, June 7, 2005; 102(23): 8309 - 8314.
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Arterioscler. Thromb. Vasc. Bio.Home page
M. B. Pepys
CRP or not CRP? That Is the Question
Arterioscler Thromb Vasc Biol, June 1, 2005; 25(6): 1091 - 1094.
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J Am Coll CardiolHome page
C. Kasapis and P. D. Thompson
The Effects of Physical Activity on Serum C-Reactive Protein and Inflammatory Markers: A Systematic Review
J. Am. Coll. Cardiol., May 17, 2005; 45(10): 1563 - 1569.
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CirculationHome page
J.P. Empana, D.H. Sykes, G. Luc, I. Juhan-Vague, D. Arveiler, J. Ferrieres, P. Amouyel, A. Bingham, M. Montaye, J.B. Ruidavets, et al.
Contributions of Depressive Mood and Circulating Inflammatory Markers to Coronary Heart Disease in Healthy European Men: The Prospective Epidemiological Study of Myocardial Infarction (PRIME)
Circulation, May 10, 2005; 111(18): 2299 - 2305.
[Abstract] [Full Text] [PDF]


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CirculationHome page
M. Schillinger, M. Exner, W. Mlekusch, S. Sabeti, J. Amighi, R. Nikowitsch, E. Timmel, B. Kickinger, C. Minar, M. Pones, et al.
Inflammation and Carotid Artery--Risk for Atherosclerosis Study (ICARAS)
Circulation, May 3, 2005; 111(17): 2203 - 2209.
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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.
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JAMAHome page
C. Kistorp, I. Raymond, F. Pedersen, F. Gustafsson, J. Faber, and P. Hildebrandt
N-Terminal Pro-Brain Natriuretic Peptide, C-Reactive Protein, and Urinary Albumin Levels as Predictors of Mortality and Cardiovascular Events in Older Adults
JAMA, April 6, 2005; 293(13): 1609 - 1616.
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Am. J. Physiol. Heart Circ. Physiol.Home page
Q. Wang, X. Zhu, Q. Xu, X. Ding, Y. E. Chen, and Q. Song
Effect of C-reactive protein on gene expression in vascular endothelial cells
Am J Physiol Heart Circ Physiol, April 1, 2005; 288(4): H1539 - H1545.
[Abstract] [Full Text] [PDF]


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Nephrol Dial TransplantHome page
E. M. Stuveling, S. J. L. Bakker, H. L. Hillege, P. E. de Jong, R. O. B. Gans, and D. de Zeeuw
Biochemical risk markers: a novel area for better prediction of renal risk?
Nephrol. Dial. Transplant., March 1, 2005; 20(3): 497 - 508.
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Occup. Environ. Med.Home page
J Y Kim, J-C Chen, P D Boyce, and D C Christiani
Exposure to welding fumes is associated with acute systemic inflammatory responses
Occup. Environ. Med., March 1, 2005; 62(3): 157 - 163.
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ChestHome page
H.-K. Yip, C.-L. Hang, C.-Y. Fang, Y.-K. Hsieh, C.-H. Yang, W.-C. Hung, and C.-J. Wu
Level of High-Sensitivity C-Reactive Protein Is Predictive of 30-Day Outcomes in Patients With Acute Myocardial Infarction Undergoing Primary Coronary Intervention
Chest, March 1, 2005; 127(3): 803 - 808.
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Diabetes CareHome page
S. Malik, N. D. Wong, S. Franklin, J. Pio, C. Fairchild, and R. Chen
Cardiovascular Disease in U.S. Patients With Metabolic Syndrome, Diabetes, and Elevated C-Reactive Protein
Diabetes Care, March 1, 2005; 28(3): 690 - 693.
[Abstract] [Full Text] [PDF]


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J. Clin. Endocrinol. Metab.Home page
M. Gola, S. Bonadonna, M. Doga, and A. Giustina
Growth Hormone and Cardiovascular Risk Factors
J. Clin. Endocrinol. Metab., March 1, 2005; 90(3): 1864 - 1870.
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Diabetes and Vascular Disease ResearchHome page
S. P Marso, J. W Murphy, J. A House, D. M Safley, and W. S Harris
Metabolic syndrome-mediated inflammation following elective percutaneous coronary intervention
Diabetes and Vascular Disease Research, February 1, 2005; 2(1): 31 - 36.
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Eur Heart JHome page
R. Schnabel, H. J. Rupprecht, K. J. Lackner, E. Lubos, C. Bickel, J. Meyer, T. Munzel, F. Cambien, L. Tiret, S. Blankenberg, et al.
Analysis of N-terminal-pro-brain natriuretic peptide and C-reactive protein for risk stratification in stable and unstable coronary artery disease: results from the AtheroGene study
Eur. Heart J., February 1, 2005; 26(3): 241 - 249.
[Abstract] [Full Text] [PDF]


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