Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 1996;94:2146-2153

This Article
Right arrow Full Text
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Miller, B. D.
Right arrow Articles by Krauss, R. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Miller, B. D.
Right arrow Articles by Krauss, R. M.

(Circulation. 1996;94:2146-2153.)
© 1996 American Heart Association, Inc.


Articles

Predominance of Dense Low-Density Lipoprotein Particles Predicts Angiographic Benefit of Therapy in the Stanford Coronary Risk Intervention Project

Bonnie D. Miller, PhD; Edwin L. Alderman, MD; William L. Haskell, PhD; Joan M. Fair, MSN; Ronald M. Krauss, MD

the Life Sciences Division (B.D.M., R.M.K.), E.O. Lawrence Berkeley National Laboratory, University of California (Berkeley); and Stanford University School of Medicine (E.L.A., W.L.H., J.M.F.), Palo Alto, Calif.

Background LDL particles differ in size and density. Individuals with LDL profiles that peak in relatively small, dense particles have been reported to be at increased risk of coronary artery disease. We hypothesized that response to coronary disease therapy in such individuals might differ from response in individuals whose profiles peak in larger, more buoyant LDL. We examined this hypothesis in the Stanford Coronary Risk Intervention Project, an angiographic trial that compared multifactorial risk-reduction intervention with the usual care of physicians.

Methods and Results For 213 men, a bimodal frequency distribution of peak LDL density (g/mL) determined by analytical ultracentrifugation was used to classify baseline LDL profiles as "buoyant mode" (density <=1.0378) or "dense mode" (density >1.0378). Coronary disease progression after 4 years was assessed by rates of change (mm/y, negative when arteries narrow) of minimum artery diameter. Rates for buoyant-mode subjects were -0.038±0.007 (mean±SEM) in usual care (n=65) and -0.039±0.010 in intervention (n=56; P=.6). Rates for dense-mode subjects were -0.054±0.012 in usual care (n=51) and -0.008±0.009 in intervention (n=41, P=.007). Lipid changes did not account for this difference in angiographic response.

Conclusions Different types of LDL profile may predict different responses to specific therapies, perhaps because metabolic processes determine both LDL profiles and responses to therapies.


Key Words: angiography • atherosclerosis • coronary disease • drugs • lipoproteins