Background Since inflammation is believed to have a role inthe pathogenesis of cardiovascular events, measurement of markersof inflammation has been proposed as a method to improve theprediction of the risk of these events.
Methods We conducted a prospective, nested casecontrolstudy among 28,263 apparently healthy postmenopausal women overa mean follow-up period of three years to assess the risk ofcardiovascular events associated with base-line levels of markersof inflammation. The markers included high-sensitivity C-reactiveprotein (hs-CRP), serum amyloid A, interleukin-6, and solubleintercellular adhesion molecule type 1 (slCAM-1). We also studiedhomocysteine and several lipid and lipoprotein measurements.Cardiovascular events were defined as death from coronary heartdisease, nonfatal myocardial infarction or stroke, or the needfor coronary-revascularization procedures.
Results Of the 12 markers measured, hs-CRP was the strongestunivariate predictor of the risk of cardiovascular events; therelative risk of events for women in the highest as comparedwith the lowest quartile for this marker was 4.4 (95 percentconfidence interval, 2.2 to 8.9). Other markers significantlyassociated with the risk of cardiovascular events were serumamyloid A (relative risk for the highest as compared with thelowest quartile, 3.0), slCAM-1 (2.6), interleukin-6 (2.2), homocysteine(2.0), total cholesterol (2.4), low-density lipoprotein (LDL)cholesterol (2.4), apolipoprotein B-100 (3.4), high-densitylipoprotein (HDL) cholesterol (0.3), and the ratio of totalcholesterol to HDL cholesterol (3.4). Prediction models thatincorporated markers of inflammation in addition to lipids weresignificantly better at predicting risk than models based onlipid levels alone (P<0.001). The levels of hs-CRP and serumamyloid A were significant predictors of risk even in the subgroupof women with LDL cholesterol levels below 130 mg per deciliter(3.4 mmol per liter), the target for primary prevention establishedby the National Cholesterol Education Program. In multivariateanalyses, the only plasma markers that independently predictedrisk were hs-CRP (relative risk for the highest as comparedwith the lowest quartile, 1.5; 95 percent confidence interval,1.1 to 2.1) and the ratio of total cholesterol to HDL cholesterol(relative risk, 1.4; 95 percent confidence interval, 1.1 to1.9).
Conclusions The addition of the measurement of C-reactive proteinto screening based on lipid levels may provide an improved methodof identifying women at risk for cardiovascular events.
Source Information
From the Center for Cardiovascular Disease Prevention (P.M.R.) and the Divisions of Cardiology (P.M.R.) and Preventive Medicine (P.M.R., C.H.H., J.E.B.), Brigham and Women's Hospital and Harvard Medical School, Boston; and the Department of Pathology, Children's Hospital Medical Center and Harvard Medical School, Boston (N.R.).
Address reprint requests to Dr. Ridker at Brigham and Women's Hospital, 75 Francis St., Boston, MA 02115, or at pridker{at}rics.bwh.harvard.edu.
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Authors/Task Force Members, , Graham, I., Atar, D., Borch-Johnsen, K., Boysen, G., Burell, G., Cifkova, R., Dallongeville, J., De Backer, G., Ebrahim, S., Gjelsvik, B., Herrmann-Lingen, C., Hoes, A., Humphries, S., Knapton, M., Perk, J., Priori, S. G., Pyorala, K., Reiner, Z., Ruilope, L., Sans-Menendez, S., Scholte op Reimer, W., Weissberg, P., Wood, D., Yarnell, J., Zamorano, J. L., Other experts who contributed to parts of the guid, , Walma, E., Fitzgerald, T., Cooney, M. T., Dudina, A., European Society of Cardiology (ESC) Committee for, , Vahanian, A., Camm, J., De Caterina, R., Dean, V., Dickstein, K., Funck-Brentano, C., Filippatos, G., Hellemans, I., Kristensen, S. D., McGregor, K., Sechtem, U., Silber, S., Tendera, M., Widimsky, P., Zamorano, J. L., Document reviewers:, , Hellemans, I., Altiner, A., Bonora, E., Durrington, P. N., Fagard, R., Giampaoli, S., Hemingway, H., Hakansson, J., Kjeldsen, S. E., Larsen, M. L., Mancia, G., Manolis, A. J., Orth-Gomer, K., Pedersen, T., Rayner, M., Ryden, L., Sammut, M., Schneiderman, N., Stalenhoef, A. F., Tokgozoglu, L., Wiklund, O., Zampelas, A.
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28: 2375-2414
[Full Text]