Cited by 1,163Lipoproteins and Cardiovascular HealthCholesterol and Lipid MetabolismParaoxonase enzyme and polymorphisms

A prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction.

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Stampfer, Meir J., Sacks, Frank M., Salvini, Simonetta, Willett, Walter C., Hennekens, Charles H.·1991·New England Journal of Medicine

Abstract

BACKGROUND: The independent contributions of subfractions of high-density lipoprotein (HDL) cholesterol (HDL2 and HDL3) and apolipoproteins in predicting the risk of myocardial infarction are unclear. Prospective data are sparse, but HDL2 is widely believed to be a more important predictor than HDL3. METHODS: Blood samples were collected at base line from 14,916 men (ages, 40 to 84 years) who were participants in the Physicians' Health Study. After five years of follow-up, plasma samples from 246 men with new myocardial infarction (case subjects) were analyzed together with specimens from 246 men matched to them for age and smoking status who had not had a myocardial infarction. RESULTS: The levels of total cholesterol and apolipoprotein B-100 were significantly associated with an increased risk of myocardial infarction (data on levels of low-density lipoprotein cholesterol were unavailable). Both HDL cholesterol and HDL2 levels were associated with a substantially decreased risk of myocardial infarction, but the HDL3 level was the strongest predictor; the relative risk was 0.3 (95 percent confidence interval, 0.2 to 0.6) for those in the fifth of the group with the highest HDL3 levels, as compared with the fifth with the lowest levels. The benefit of a higher HDL cholesterol level was most pronounced among those with lower total cholesterol levels. Levels of apolipoprotein A-I and apolipoprotein A-II were also associated with decreased risk. However, the levels of HDL subfractions and apolipoproteins did not add significantly to the value of a multivariate model that included the ratio of total to HDL cholesterol in predicting myocardial infarction, whereas that ratio remained a significant independent predictor of risk. After adjustment for other risk factors, a change of one unit in the ratio of total to HDL cholesterol was associated with a 53 percent change in risk (95 percent confidence interval, 26 percent to 85 percent). CONCLUSIONS: This study underscores the importance of HDL cholesterol in predicting the risk of myocardial infarction and demonstrates protective effects of both the HDL3 and HDL2 subfractions of HDL cholesterol. We found little or no predictive value for the levels of apolipoproteins A-I, A-II, and B or HDL subfractions after conventional risk factors and the ratio of total to HDL cholesterol were considered.

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  • Epidemiological studies have not provided conclusive evidence that measurement of HDL size contributes to risk prediction.

    “Epidemiological studies have not provided conclusive evidence that measurement of HDL size contributes to risk prediction (36, 50 -55).”

    From Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline (2012) · cites this paper as [50]

    The Discussion (pp. 6–7) reports that HDL2 and HDL3 subfractions did not add significantly to myocardial-infarction risk prediction after established factors were considered, and says further studies are needed before using their concentrations clinically. The Laboratory Analyses (p. 2) describe measurements of subfraction cholesterol, not direct measurements of HDL particle size, so the paper supports the claim's caution about added predictive value but not its specific wording about measuring size. (LLM, conf=0.83)

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Research works printed but not linked: 9

  1. [1]1. Miller NE, Thelle DS, Førde OH, Mjøs OD. The Tromsø Heart-Study: high-density lipoprotein and coronary heart disease: a prospective casecontrol study. Lancet 1977; 1:965-8.
  2. [7]7. Jones PH, Gotto AM Jr. Assessment of lipid abnormalities. In: Hurst JW, Schlant RC, Rachley CE, Sonnenblick EH, Wenger NK, eds. The heart: arteries and veins. 7th ed. New York: McGraw-Hill, 1990:378-84.
  3. [12]12. Steering Committee of the Physicians' Health Study Research Group. Final Hepn g t Hod. NEngl J Med 1989; 321:129-35.
  4. [17]17. Idem. SAS user's guide: statistics, version 5 edition. Cary, N.C.: SAS Institute, 1985.
  5. [16]16. SAS Institute Inc. SAS user's guide: basics, 1982 edition. Cary, N.C.: SAS Institute, 1982.
  6. [21]21. Gordon T, Kannel WB, Castelli WP, Dawber TR. Lipoproteins, cardiovascular disease, and death. Arch Intern Med 1981; 141:1128-31.
  7. [24]24. Miller NE, Hammett F, Saltissi S, et al. Relation of angiographically de-nda a ss g a a r iioproteins. BMJ 198i; 282:1741-4.
  8. [46]46. Avogaro P, Cazzolato G, Bittolo Bon G, Rorai E, Pontoglio E. Lipoprotein derangements in human atherosclerosis. In: Noseda G, Fragiacomo C, Fumagalli R, Paoletti R, eds. Lipoproteins and coronary atherosclerosis. Amsterdam: Elsevier, 1982:123-42.
  9. [59]59. Desager JP, Rousseau M, Riesen WF, Harvengt C. Limitations of the predictive value for coronary vascular disease of plasma lipids and apoproteins AI, AII, B levels as measured before coronarography in 317 patients. In: de Gennes JL, Polonovski J, Paoletti R, eds. Latent dyslipoproteinemias and atherosclerosis. New York: Raven Press, 1984:165-74.

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Authors
Stampfer, M. J., Sacks, F. M., Salvini, S., Willett, W. C., & Hennekens, C. H.
Affiliations
Brigham and Women's Hospital (US)
Venue
New England Journal of Medicine
Published
1991-08-08
Volume
325
Issue
6
Pages
373-381
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2337032743
Cited by
1,163
References
56
Citations by year
2026: 6 · 2025: 5 · 2024: 10 · 2023: 10 · 2022: 7 · 2021: 12 · 2020: 14 · 2019: 12 · 2018: 18 · 2017: 17 · 2016: 24 · 2015: 31 · 2014: 34 · 2013: 33 · 2012: 31
FWCI
80.75
Type
journal article
Language
en
Open access
Locations
  • New England Journal of Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Heart, Lung, and Blood Institute (HL-34595, HL 26490, R01HL034595)
  • National Cancer Institute (R01CA042182, CA 42182)
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
myocardial infarction, HDL cholesterol, HDL2, HDL3, apolipoprotein B-100, apolipoprotein A-I, apolipoprotein A-II, TC/HDL-C ratio, cardiovascular risk prediction, total cholesterol, men, Physicians' Health Study, lipoprotein subfractions, risk factors, coronary heart disease prevention, statin therapy
MeSH terms
Adult, Aged, Aged, 80 and over, Apolipoproteins, Apolipoproteins A, Apolipoproteins B, Cholesterol, Humans, Cholesterol, HDL, Male, Middle Aged, Myocardial Infarction, Prospective Studies, Risk Factors

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