C-reactive protein (CRP), the classic marker of acute-phase response, is an indicator of a variety of pathologic processes, including infections, tissue damage, and chronic inflammatory diseases (1)(2). The majority of more than 15 well-conducted prospective studies in initially healthy individuals have shown a strong and independent association between concentrations of CRP within the reference interval (<5 mg/L) and future major cardiovascular events (3), although in some of them, no such association could be established (4)(5)(6)(7). The summary estimate of the relative risk in formal metaanalysis was 2.0 (95% confidence interval, 1.6–2.5) (3). Furthermore, CRP has been shown to add to risk prediction beyond and above established cardiovascular risk factors (8). On the basis of data from the Physicians’ Health Study and the Nurses’ Health Study, an algorithm for risk assessment of future coronary events that combines both CRP concentration and the ratio of total cholesterol to HDL-cholesterol has recently been proposed (9).

Because atherosclerosis represents a low-grade inflammatory process in the vascular bed, high-sensitivity (hs) assays are needed when using circulating CRP concentrations for risk prediction in cardiovascular diseases. Such assays have been developed and are now commercially available (10)(11). However, before screening of individuals at risk can be recommended, CRP distributions in apparently healthy adults in the general population must be known. Such information is scarce. Furthermore, in previous reports, women using oral contraceptives or receiving hormone replacement therapy (HRT), both of which have been shown to significantly increase CRP concentrations, had not been excluded (12)(13)(14)(15). In this report, we describe the frequency distribution of CRP concentrations in 13 527 adult men and women from different representative populations in Western Europe. Furthermore, for one area [the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) project in Augsburg], data from four surveys at 5-year intervals were available, thus providing information on potential CRP changes in the same population over time.

Seven cross-sectional samples, each randomly drawn from the general population of four different geographic areas in former West Germany, France, and Scotland (total of 16 945 men and women), were examined. The VERA (Verbundstudie Ernährungserhebung und Risikofaktoren Analytik) sample, representative of former West Germany in 1987–1988, consisted of 862 men and 1144 women 18–88 years of age. Also in Germany, the Augsburg surveys were performed in 1984–1985 (1074 men; ages 45–64 years), 1989–1990 (1550 men; 45–74 years), 1994–1995 (2450 men and 2451 women; 25–74 years), and, in the framework of the KORA (Kooperative Gesundheitsforschung in der Region Augsburg) program, in 1999–2000 (2090 men and 2171 women; 25–74 years). The MONICA Lille (France) survey of 1994–1995 consisted of 601 men and 594 women, ages 35–65 years, randomly selected from the general population. Finally, the MONICA north Glasgow survey of 1992 consisted of 928 men and 1030 women, ages 25–74 years. After the exclusion of women on oral contraceptives or HRT and of individuals with missing values for any variable, 13 527 participants remained for distribution analyses. Additional study details have been published elsewhere (10)(16)(17). All serum/plasma samples were immediately stored after collection and frozen at −70 to −90 °C until analysis.

CRP was determined in these populations by two different methods. A sensitive solid-phase monoclonal-polyclonal IRMA with a range of 0.05–10.0 mg/L was used for all samples except for the MONICA/KORA Augsburg survey 1999–2000 and for the Glasgow MONICA survey 1992. Method details have been described elsewhere (10). The intraassay CVs ranged from 5.6% for the 0.50 mg/L calibrator to 1.4% for the 0.10 mg/L calibrator; the interassay CVs ranged between 8.0% for the 0.5 mg/L calibrator and 0.5% for the 0.10 mg/L calibrator. All samples with values exceeding the upper limit of the assay range, i.e., 10 mg/L, were reassayed at appropriately higher sample dilutions. CRP concentrations in the MONICA/KORA Augsburg sample 1999–2000 and in the Glasgow MONICA sample 1992 were measured by a particle-enhanced immunonephelometric assay performed on a BN II Analyzer (Dade Behring) (11). The interassay CVs were <6% for both samples. There was no difference in CRP measurements between serum and plasma samples. Validation analyses between the two methods have been performed in a sample of 792 men and women from a case-control study (18). Comparisons according to Bland and Altman (19) after log-transformation of CRP concentrations gave a mean difference between the IRMA and the BN II of −0.11 with 95% limits of agreement of −1.17 and 0.95, indicating excellent agreement between the two methods. The Spearman rank correlation coefficient was 0.87 (unpublished data).

In all samples, CRP concentrations were highly skewed to the right among both men and women. There was a trend to higher CRP values with increasing age in all samples. Median CRP values for men and women, the latter not taking oral contraceptives or HRT, up to 44 years of age were 0.6–1.1 mg/L among the seven samples, and among those 45 years of age and older, the median CRP values were 1.2–1.7 mg/L (Table 1 ). Slight differences between CRP medians in the samples could mainly be explained by the somewhat different age ranges covered, above and below the cutpoints of 45 years. Distributions of CRP were comparable between men and women among the different geographic areas studied and were stable over time in the MONICA Augsburg samples (men 45 years and above, 1.6–1.7 mg/L). Fewer than 5% of men and women had CRP >10 mg/L, indicating an ongoing high-grade inflammatory process, such as acute infection. However, a remarkable subsample of up to one-third of individuals had CRP concentrations >3 mg/L, which has been shown in several studies to be associated with an increased risk for future cardiovascular events (20).

Table 1.

CRP distributions in various European populations.

GenderAge, yearsnPercentile
510202533.340506066.675809095
MONICA Augsburg Survey 1984–1985Men45–649900.30.40.60.70.91.11.62.22.83.84.66.810.1
MONICA Augsburg Survey 1989–1990Men45–7413790.30.40.60.81.01.31.72.32.83.84.57.310.4
MONICA Augsburg Survey 1994–1995Men25–448690.20.20.40.40.60.70.91.31.52.12.53.95.6
45–7414240.30.40.70.81.01.21.62.02.43.34.06.58.6
Women125–446240.10.20.30.40.50.50.71.01.21.72.24.16.9
45–7410310.30.40.70.91.11.31.72.22.73.44.26.28.8
MONICA/KORA Survey 1999–2000Men25–448000.20.20.30.40.50.60.71.01.21.62.03.45.5
45–7412360.30.40.60.81.01.21.62.22.83.54.36.99.5
Women125–446450.20.20.30.40.50.60.71.01.31.82.24.68.0
45–748650.20.40.60.81.01.21.62.22.83.54.36.99.5
MONICA Glasgow Survey 1992Men25–441580.20.20.20.20.40.50.80.91.11.41.73.26.3
45–742560.30.40.50.70.91.11.41.92.33.33.86.28.6
Women24–441680.20.20.20.30.40.50.60.91.01.41.73.45.5
45–742970.20.20.40.60.80.91.21.61.92.63.26.49.8
MONICA Lille Survey 1994–1995Men35–441620.20.30.50.60.70.81.11.41.72.52.84.88.9
45–654390.30.40.60.70.91.11.41.92.43.53.98.09.4
Women135–44980.10.30.40.40.50.60.81.01.41.82.95.37.8
45–653030.10.30.60.70.81.11.52.02.63.74.46.79.7
VERA Survey 1987–1988Men18–444260.20.20.30.40.50.50.71.01.21.92.55.59.1
45–883800.30.40.60.60.81.11.72.22.94.14.97.39.8
Women118–445470.20.30.40.50.60.81.01.62.43.44.47.39.9
45–804300.30.40.50.60.81.01.41.92.53.34.16.58.4
GenderAge, yearsnPercentile
510202533.340506066.675809095
MONICA Augsburg Survey 1984–1985Men45–649900.30.40.60.70.91.11.62.22.83.84.66.810.1
MONICA Augsburg Survey 1989–1990Men45–7413790.30.40.60.81.01.31.72.32.83.84.57.310.4
MONICA Augsburg Survey 1994–1995Men25–448690.20.20.40.40.60.70.91.31.52.12.53.95.6
45–7414240.30.40.70.81.01.21.62.02.43.34.06.58.6
Women125–446240.10.20.30.40.50.50.71.01.21.72.24.16.9
45–7410310.30.40.70.91.11.31.72.22.73.44.26.28.8
MONICA/KORA Survey 1999–2000Men25–448000.20.20.30.40.50.60.71.01.21.62.03.45.5
45–7412360.30.40.60.81.01.21.62.22.83.54.36.99.5
Women125–446450.20.20.30.40.50.60.71.01.31.82.24.68.0
45–748650.20.40.60.81.01.21.62.22.83.54.36.99.5
MONICA Glasgow Survey 1992Men25–441580.20.20.20.20.40.50.80.91.11.41.73.26.3
45–742560.30.40.50.70.91.11.41.92.33.33.86.28.6
Women24–441680.20.20.20.30.40.50.60.91.01.41.73.45.5
45–742970.20.20.40.60.80.91.21.61.92.63.26.49.8
MONICA Lille Survey 1994–1995Men35–441620.20.30.50.60.70.81.11.41.72.52.84.88.9
45–654390.30.40.60.70.91.11.41.92.43.53.98.09.4
Women135–44980.10.30.40.40.50.60.81.01.41.82.95.37.8
45–653030.10.30.60.70.81.11.52.02.63.74.46.79.7
VERA Survey 1987–1988Men18–444260.20.20.30.40.50.50.71.01.21.92.55.59.1
45–883800.30.40.60.60.81.11.72.22.94.14.97.39.8
Women118–445470.20.30.40.50.60.81.01.62.43.44.47.39.9
45–804300.30.40.50.60.81.01.41.92.53.34.16.58.4
1

Women on oral contraceptives or HRT were excluded.

Table 1.

CRP distributions in various European populations.

GenderAge, yearsnPercentile
510202533.340506066.675809095
MONICA Augsburg Survey 1984–1985Men45–649900.30.40.60.70.91.11.62.22.83.84.66.810.1
MONICA Augsburg Survey 1989–1990Men45–7413790.30.40.60.81.01.31.72.32.83.84.57.310.4
MONICA Augsburg Survey 1994–1995Men25–448690.20.20.40.40.60.70.91.31.52.12.53.95.6
45–7414240.30.40.70.81.01.21.62.02.43.34.06.58.6
Women125–446240.10.20.30.40.50.50.71.01.21.72.24.16.9
45–7410310.30.40.70.91.11.31.72.22.73.44.26.28.8
MONICA/KORA Survey 1999–2000Men25–448000.20.20.30.40.50.60.71.01.21.62.03.45.5
45–7412360.30.40.60.81.01.21.62.22.83.54.36.99.5
Women125–446450.20.20.30.40.50.60.71.01.31.82.24.68.0
45–748650.20.40.60.81.01.21.62.22.83.54.36.99.5
MONICA Glasgow Survey 1992Men25–441580.20.20.20.20.40.50.80.91.11.41.73.26.3
45–742560.30.40.50.70.91.11.41.92.33.33.86.28.6
Women24–441680.20.20.20.30.40.50.60.91.01.41.73.45.5
45–742970.20.20.40.60.80.91.21.61.92.63.26.49.8
MONICA Lille Survey 1994–1995Men35–441620.20.30.50.60.70.81.11.41.72.52.84.88.9
45–654390.30.40.60.70.91.11.41.92.43.53.98.09.4
Women135–44980.10.30.40.40.50.60.81.01.41.82.95.37.8
45–653030.10.30.60.70.81.11.52.02.63.74.46.79.7
VERA Survey 1987–1988Men18–444260.20.20.30.40.50.50.71.01.21.92.55.59.1
45–883800.30.40.60.60.81.11.72.22.94.14.97.39.8
Women118–445470.20.30.40.50.60.81.01.62.43.44.47.39.9
45–804300.30.40.50.60.81.01.41.92.53.34.16.58.4
GenderAge, yearsnPercentile
510202533.340506066.675809095
MONICA Augsburg Survey 1984–1985Men45–649900.30.40.60.70.91.11.62.22.83.84.66.810.1
MONICA Augsburg Survey 1989–1990Men45–7413790.30.40.60.81.01.31.72.32.83.84.57.310.4
MONICA Augsburg Survey 1994–1995Men25–448690.20.20.40.40.60.70.91.31.52.12.53.95.6
45–7414240.30.40.70.81.01.21.62.02.43.34.06.58.6
Women125–446240.10.20.30.40.50.50.71.01.21.72.24.16.9
45–7410310.30.40.70.91.11.31.72.22.73.44.26.28.8
MONICA/KORA Survey 1999–2000Men25–448000.20.20.30.40.50.60.71.01.21.62.03.45.5
45–7412360.30.40.60.81.01.21.62.22.83.54.36.99.5
Women125–446450.20.20.30.40.50.60.71.01.31.82.24.68.0
45–748650.20.40.60.81.01.21.62.22.83.54.36.99.5
MONICA Glasgow Survey 1992Men25–441580.20.20.20.20.40.50.80.91.11.41.73.26.3
45–742560.30.40.50.70.91.11.41.92.33.33.86.28.6
Women24–441680.20.20.20.30.40.50.60.91.01.41.73.45.5
45–742970.20.20.40.60.80.91.21.61.92.63.26.49.8
MONICA Lille Survey 1994–1995Men35–441620.20.30.50.60.70.81.11.41.72.52.84.88.9
45–654390.30.40.60.70.91.11.41.92.43.53.98.09.4
Women135–44980.10.30.40.40.50.60.81.01.41.82.95.37.8
45–653030.10.30.60.70.81.11.52.02.63.74.46.79.7
VERA Survey 1987–1988Men18–444260.20.20.30.40.50.50.71.01.21.92.55.59.1
45–883800.30.40.60.60.81.11.72.22.94.14.97.39.8
Women118–445470.20.30.40.50.60.81.01.62.43.44.47.39.9
45–804300.30.40.50.60.81.01.41.92.53.34.16.58.4
1

Women on oral contraceptives or HRT were excluded.

We have described frequency distributions of hs-CRP in seven cross-sectional samples randomly selected from the adult general population of three European countries (Germany, France, and Scotland). Data sets included both genders, excluded women on oral contraceptives or HRT, and covered a wide age range. Furthermore, we looked for potential changes of CRP over time in the MONICA Augsburg samples covering a time period of ∼15 years. In all samples, CRP distributions were highly skewed to the right, increased with age, and were similar in adult men and in women who neither used oral contraceptives nor received HRT. In addition, CRP concentrations in the general population did not substantially differ among the geographic areas studied and were stable over time.

On the basis of the risk prediction for cardiovascular endpoints associated with increased CRP (3)(21)(22), measuring this biomarker has recently been suggested as an additional tool for risk stratification (9). However, a new risk marker of disease needs to fulfill several requirements (23). It should show high sensitivity and specificity and low intraindividual variability but high interindividual variation. For CRP, sensitive and robust methods are commercially available (11). However, although CRP represents an extremely sensitive marker of the acute-phase response, it is completely unspecific and is influenced by a variety of disease states, including infections, rheumatic diseases, and malignancies among others (24).

Frequency distributions of a marker designated for risk assessment in the general population are inevitably required for identifying individuals at increased risk. For CRP, such reports are scarce, and, to the best of our knowledge, no data from European countries exist from which women on oral contraceptives or HRT have been excluded. Median CRP concentrations in these samples are comparable to those reported from other populations (25)(26). Furthermore, CRP distributions among men and women not receiving hormones are very similar; thus, sex-specific cutpoints for risk stratification are not needed. Moreover, CRP concentrations in regions from three European countries with different social status and lifestyle habits are remarkably consistent.

The present analysis has several limitations. Only single measurements were performed, which may not reflect the true long-term values for the respective individuals; and we studied only Caucasians. We did not exclude individuals with diseases that might have affected CRP concentrations because this would have led to a selection bias that could have affected the generalizability of our results. However, the numbers of such persons were small in all of the samples. Serum/plasma samples from all participants had been stored immediately after collection at −70 to −90 °C for up to 12 years. CRP is known to be a very stable protein, and in one study (27), no significant change was seen in CRP concentrations of samples stored at 4 °C for 5 months and at −20 °C for up to 25 months. Our own data from measurements of pooled samples over a period of 5 years also showed no systematic shift (unpublished data). Our analyses also have several strengths. The two hs-CRP assays that we used showed excellent agreement and were standardized according to the WHO reference standard (85/506) (28). Finally, the examined populations were representative of the general population in three Western European countries.

Unsolved issues remain relating to the fact that, despite similarities in its distribution, CRP has been shown to be predictive for future cardiovascular events in various populations with greatly differing absolute risks (3)(29)(30). In addition, CRP distributions are comparable between men and women, but cardiovascular risk is clearly different between them. Finally, CRP concentrations were stable over time although, e.g., data from the MONICA project indicate a decrease in coronary heart disease morbidity and mortality in several centers during a 10-year period.

In summary, our data describing CRP concentrations in representative populations may be useful for the clinician and the general practitioner in assessing the risk of future cardiovascular events by means of hs-CRP.

We thank Gerlinde Trischler for excellent technical assistance and Andrea Schneider for data management. Heiner Boeing (German Institute for Research on Nutrition, Department of Epidemiology, Bergholz-Rehbrücke, Germany) kindly provided serum samples from the VERA (Verbundstudie Ernährungserhebung und Risikofaktoren Analytik) study, and Mark B. Pepys (Department of Medicine, University College Medical School London, London, United Kingdom) supplied CRP antibodies for the IRMA and helped in setting up the assay in our laboratory.

References

1

Baumann H, Gauldie J. The acute phase response.

Immunol Today
1994
;
15
:
74
-80.

2

Steel DM, Whitehead AS. The major acute phase reactants: C-reactive protein, serum amyloid P component and serum amyloid A protein.

Immunol Today
1994
;
15
:
81
-88.

3

Danesh J, Whincup P, Walker M, Lennon L, Thomson A, Appleby P, et al. Low grade inflammation and coronary heart disease: prospective study and updated meta-analyses.

BMJ
2000
;
321
:
199
-204.

4

Jager A, van Hinsbergh VW, Kostense PJ, Emeis JJ, Yudkin JS, Nijpels G, et al. von Willebrand factor, C-reactive protein, and 5-year mortality in diabetic and nondiabetic subjects: the Hoorn Study.

Arterioscler Thromb Vasc Biol
1999
;
19
:
3071
-3078.

5

Mendall MA, Strachan DP, Butland BK, Ballam L, Morris J, Sweetnam PM, et al. C-reactive protein: relation to total mortality, cardiovascular mortality and cardiovascular risk factors in men.

Eur Heart J
2000
;
21
:
1584
-1590.

6

Lowe GD, Yarnell JW, Rumley A, Bainton D, Sweetnam PM. C-reactive protein, fibrin D-dimer, and incident ischemic heart disease in the Speedwell study: are inflammation and fibrin turnover linked in pathogenesis?.

Arterioscler Thromb Vasc Biol
2001
;
21
:
603
-610.

7

Pirro M, Bergeron J, Dagenais GR, Bernard PM, Cantin B, Despres JP, et al. Age and duration of follow-up as modulators of the risk for ischemic heart disease associated with high plasma C-reactive protein levels in men.

Arch Intern Med
2001
;
161
:
2474
-2480.

8

Ridker PM, Buring JE, Shih J, Matias M, Hennekens CH. Prospective study of C-reactive protein and the risk of future cardiovascular events among apparently healthy women.

Circulation
1998
;
98
:
731
-733.

9

Rifai N, Ridker PM. Proposed cardiovascular risk assessment algorithm using high-sensitivity C-reactive protein and lipid screening.

Clin Chem
2001
;
47
:
28
-30.

10

Hutchinson WL, Koenig W, Fröhlich M, Sund M, Lowe GD, Pepys MB. Immunoradiometric assay of circulating C-reactive protein: age-related values in the adult general population.

Clin Chem
2000
;
46
:
934
-938.

11

Rifai N, Tracy RP, Ridker PM. Clinical efficacy of an automated high-sensitivity C-reactive protein assay.

Clin Chem
1999
;
45
:
2136
-2141.

12

Fröhlich M, Döring A, Imhof A, Hutchinson WL, Pepys MB, Koenig W. Oral contraceptive use is associated with a systemic acute phase response.

Fibrinolysis Proteolysis
1999
;
13
:
239
-244.

13

Cushman M, Legault C, Barrett-Connor E, Stefanick ML, Kessler C, Judd HL, et al. Effect of postmenopausal hormones on inflammation-sensitive proteins: the Postmenopausal Estrogen/Progestin Interventions (PEPI) Study.

Circulation
1999
;
100
:
717
-722.

14

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.

15

van Baal WM, Kenemans P, van der Mooren MJ, Kessel H, Emeis JJ, Stehouwer CD. Increased C-reactive protein levels during short-term hormone replacement therapy in healthy postmenopausal women.

Thromb Haemost
1999
;
81
:
925
-928.

16

Imhof A, Froehlich M, Brenner H, Boeing H, Pepys MB, Koenig W. Effect of alcohol consumption on systemic markers of inflammation.

Lancet
2001
;
357
:
763
-767.

17

The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. WHO MONICA Project Principal Investigators.

J Clin Epidemiol
1988
;
41
:
105
-114.

18

Hoffmeister A, Rothenbacher D, Bäzner U, Fröhlich M, Brenner H, Hombach V, et al. Role of novel markers of inflammation in patients with stable coronary heart disease.

Am J Cardiol
2001
;
87
:
262
-266.

19

Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement.

Lancet
1986
;
1
:
307
-310.

20

Kluft C, de Maat MP. Determination of the habitual low blood level of C-reactive protein in individuals.

Ital Heart J
2001
;
2
:
172
-180.

21

Koenig W, Sund M, Fröhlich M, Fischer HG, Löwel H, Döring A, et al. C-reactive protein, a sensitive marker of inflammation, predicts future risk of coronary heart disease in initially healthy middle-aged men: results from the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Augsburg Cohort Study, 1984 to 1992.

Circulation
1999
;
99
:
237
-242.

22

Rost NS, Wolf PA, Kase CS, Kelly-Hayes M, Silbershatz H, Massaro JM, et al. Plasma concentration of C-reactive protein and risk of ischemic stroke and transient ischemic attack: the Framingham study.

Stroke
2001
;
32
:
2575
-2579.

23

Koenig W. C-reactive protein and cardiovascular risk: has the time come for screening the general population?.

Clin Chem
2001
;
47
:
9
-10.

24

Koenig W, Pepys MB. C-reactive protein risk prediction: low specificity, high sensitivity.

Ann Intern Med
2002
;
136
:
550
-552.

25

Mendall MA, Patel P, Ballam L, Strachan D, Northfield TC. C reactive protein and its relation to cardiovascular risk factors: a population based cross sectional study.

BMJ
1996
;
312
:
1061
-1065.

26

Yamada S, Gotoh T, Nakashima Y, Kayaba K, Ishikawa S, Nago N, et al. Distribution of serum C-reactive protein and its association with atherosclerotic risk factors in a Japanese population: Jichi Medical School Cohort Study.

Am J Epidemiol
2001
;
153
:
1183
-1190.

27

Wilkins J, Gallimore JR, Moore EG, Pepys MB. Rapid automated high sensitivity enzyme immunoassay of C-reactive protein.

Clin Chem
1998
;
44
:
1358
-1361.

28

. WHO Expert Committee on Biological Standardization. WHO Expert Committee on Biological Standardization 37th report.

WHO Technical Report Series 760
1987
:
21
-22 WHO Geneva. .

29

Tunstall-Pedoe H, Vanuzzo D, Hobbs M, Mahonen M, Cepaitis Z, Kuulasmaa K, et al. Estimation of contribution of changes in coronary care to improving survival, event rates, and coronary heart disease mortality across the WHO MONICA Project populations.

Lancet
2000
;
355
:
688
-700.

30

Packard CJ, O’Reilly DS, Caslake MJ, McMahon AD, Ford I, Cooney J, et al. Lipoprotein-associated phospholipase A2 as an independent predictor of coronary heart disease. West of Scotland Coronary Prevention Study Group.

N Engl J Med
2000
;
343
:
1148
-1155.

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