Published online before print October 18, 2004, doi: 10.1161/01.CIR.0000146339.57154.9B
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(Circulation. 2004;110:2824-2830.)
© 2004 American Heart Association, Inc.
Coronary Heart Disease |
Multivariate Assessment of Lipid Parameters as Predictors of Coronary Heart Disease Among Postmenopausal Women
Potential Implications for Clinical Guidelines
From the Departments of Nutrition (I.S., E.B.R., M.J.S.) and Epidemiology (I.S., E.B.R., S.E.H., J.E.M., M.J.S.), Harvard School of Public Health; Channing Laboratory (E.B.R., S.E.H., G.C., J.E.M., M.J.S., J.M.) and Division of Preventive Medicine (J.E.M., M.J.S.), Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School; and Department of Laboratory Medicine, Children’s Hospital and Harvard Medical School (N.R.), Boston, Mass; and the S. Daniel Abraham International Center for Health and Nutrition, Department of Epidemiology, Ben-Gurion University, Beer-Sheva, Israel (I.S.).
Correspondence to Iris Shai, RD, PhD, Harvard School of Public Health, Department of Epidemiology, 677 Huntington Ave, Boston, MA 02115. E-mail ishai{at}hsph.harvard.edu or irish@bgumail.bgu.ac.il
Received December 15, 2003; de novo received March 25, 2004; revision received June 30, 2004; accepted July 7, 2004.
Background— Over the past decade, lipid measurements have been significantly improved and standardized. We evaluated the usefulness of multiple plasma lipid parameters in predicting coronary heart diseases (CHD) among women.
Methods and Results— Among 32 826 women from the Nurses’ Health Study who provided blood samples at baseline, 234 CHD events were documented during 8 years of follow-up. In a nested study, these cases were matched to controls (1:2) for age, smoking, fasting status, and month of blood draw. We estimated the relative risk (RR) for each lipid parameter, adjusted for C-reactive protein, homocysteine, body mass index, family history, hypertension, diabetes, postmenopausal hormone use, physical activity, alcohol intake, and blood draw parameters. The RRs associated with an increase of 
1 SD (mg/dL) were as follows: HDL cholesterol (HDL-C) (RR=0.6 [0.5 to 0.8], SD=17), apolipoprotein B100 (apoB100) (RR=1.7 [1.4 to 2.1], SD=32), LDL cholesterol (LDL-C) (RR=1.4 [1.1 to 1.7], SD=36), total cholesterol (TC) (RR=1.4 [1.1 to 1.6], SD=40), and triglycerides (RR=1.3 [1.0 to 1.5], SD=80). Among the lipid indexes, the RRs were: apoB100/HDL-C (RR=1.7 [1.4 to 2.1], SD=1.0), TC/HDL-C (RR=1.6 [1.3 to 1.9], SD=1.3), LDL-C/HDL-C (RR=1.5 [1.3 to 1.9], SD=1.0), and non–HDL-C (RR=1.6 [1.3 to 1.9], SD=42 mg/dL). After simultaneous control for several lipid biomarkers, HDL-C was the primary contributor of the variation in multivariate models (P=0.01), followed by LDL-C (P=0.01), whereas triglycerides and apoB100 did not contribute further information. HDL-C–related ratios were the strongest contributors to predicting CHD (P<0.0001).
Conclusions— Lower levels of HDL-C may be a key discriminator of higher CHD events among postmenopausal women. HDL-C–related ratios (such as TC/HDL-C) provide a powerful predictive tool independently of other known CHD risk factors.
Key Words: lipids • coronary disease • women
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