Cited by 268Lipoproteins and Cardiovascular HealthCholesterol and Lipid MetabolismParaoxonase enzyme and polymorphisms

Value of High-Density Lipoprotein (HDL) Subpopulations in Predicting Recurrent Cardiovascular Events in the Veterans Affairs HDL Intervention Trial

Asztalos, Bela F., Collins, Dorothea, Cupples, L. Adrienne, Demissie, Serkalem, Horvath, Katalin V., Bloomfield, Hanna E., Robins, Sander J., Schaefer, Ernst J.·2005·Arteriosclerosis, Thrombosis, and Vascular Biology

Abstract

Objective— To test the hypothesis whether determination of high-density lipoprotein (HDL) subpopulations provides more power to predict recurrent cardiovascular disease (CVD) events (nonfatal myocardial infarction, coronary heart disease death, and stroke) than traditional risk factors in the Veterans Affairs HDL Intervention Trial (VA-HIT). Methods and Results— Apolipoprotein A-I (apoA-I)–containing HDL subpopulations were quantitatively determined by nondenaturing 2D gel electrophoresis. Hazard ratios of recurrent CVD events were calculated by comparing VA-HIT subjects with (n=398) and without (n=1097) such events. Subjects with new CVD events had significantly lower HDL-C, apoA-I, and large cholesterol-rich HDL particle (α-1, α-2, pre–α-1, and pre–α-2) levels, significantly higher triglyceride, and small poorly lipidated HDL particle (pre–β-1 and α-3) levels than subjects without such events. Multivariate analyses indicated that α-1 and α-2 particle levels were significant negative risk factors, whereas α-3 level was a significant positive risk factor for new CVD events. Pre–β-1 level was a significant risk factor for new CVD events only in univariate analysis. A forward selection model indicated that α-1 was the most significant risk factor for recurrent CVD events among HDL particles. Conclusions— An altered HDL subpopulation profile marked with low α-1 and α-2 levels and a high α-3 level in coronary heart disease patients indicated an elevated risk for new CVD events. Moreover, α-1 and α-2 levels were superior to HDL-C levels in risk assessment in patients with low HDL-C in VA-HIT.

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Crossref · 10.1161/01.atv.0000183727.90611.4f

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  • Prebeta-1 HDL levels positively associate with increased risk of new CVD events, with ischemic heart disease, and with both coronary artery disease and myocardial infarction.

    “Prebeta-1 HDL levels positively associate with increased risk of new CVD events,34 with ischemic heart disease,35 and with both coronary artery disease and myocardial infarction.36”

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Authors
Asztalos, B. F., Collins, D., Cupples, L. A., Demissie, S., Horvath, K. V., Bloomfield, H. E., Robins, S. J., & Schaefer, E. J.
Affiliations
Boston University (US)
Venue
Arteriosclerosis, Thrombosis, and Vascular Biology
Published
2005-10
Volume
25
Issue
10
Pages
2185-2191
ISSN
  • 1079-5642 (ISSN-L)
  • 1524-4636
OpenAlex
W2160230170
Cited by
268
References
35
Citations by year
2026: 3 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 4 · 2020: 7 · 2019: 4 · 2018: 12 · 2017: 10 · 2016: 8 · 2015: 12 · 2014: 14 · 2013: 22 · 2012: 17
FWCI
24.09
Type
journal article
Language
en
Open access
closed
Locations
  • Arteriosclerosis Thrombosis and Vascular Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Heart, Lung, and Blood Institute (HL 64738, R01HL064738)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Surgery › Cholesterol and Lipid Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Paraoxonase enzyme and polymorphisms
Keywords
HDL subpopulations, apolipoprotein A-I, HDL particle size, cardiovascular risk prediction, recurrent cardiovascular events, coronary artery disease, myocardial infarction, stroke, HDL cholesterol, triglycerides, veterans
MeSH terms
Aged, Cardiovascular Diseases, Coronary Disease, Follow-Up Studies, Humans, Lipoproteins, LDL, Male, Middle Aged, Myocardial Infarction, Predictive Value of Tests, Recurrence, Risk Factors, United States, United States Department of Veterans Affairs, Biomarkers, Proportional Hazards Models, Stroke

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