The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Non–High-Density Lipoprotein Cholesterol Level as a Predictor of Cardiovascular Disease Mortality
Abstract
BACKGROUND: Non-high-density lipoprotein cholesterol (non-HDL-C) contains all known and potential atherogenic lipid particles. Therefore, non-HDL-C level may be as good a potential predictor of risk for cardiovascular disease (CVD) as low-density lipoprotein cholesterol (LDL-C). OBJECTIVES: To determine whether non-HDL-C level could be useful in predicting CVD mortality and to compare the predictive value of non-HDL-C and LDL-C levels. METHODS: Data are from the Lipid Research Clinics Program Follow-up Study, a mortality study with baseline data gathered from 1972 through 1976, and mortality ascertained through 1995. A total of 2406 men and 2056 women aged 40 to 64 years at entry were observed for an average of 19 years, with CVD death as the main outcome measure. RESULTS: A total of 234 CVD deaths in men and 113 CVD deaths in women occurred during follow-up. Levels of HDL-C and non-HDL-C at baseline were significant and strong predictors of CVD death in both sexes. In contrast, LDL-C level was a somewhat weaker predictor of CVD death in both. Differences of 0.78 mmol/L (30 mg/dL) in non-HDL-C and LDL-C levels corresponded to increases in CVD risk of 19% and 15%, respectively, in men. In women, differences of 0.78 mmol/L (30 mg/dL) in non-HDL-C and LDL-C levels corresponded to increases in CVD risk of 11% and 8%, respectively. CONCLUSIONS: Non-HDL-C level is a somewhat better predictor of CVD mortality than LDL-C level. Screening for non-HDL-C level may be useful for CVD risk assessment.
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Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,947
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies.
Gordon, D. J., Probstfield, J. L., Garrison, R. J., Neaton, J. D., Castelli, W. P., Knoke, J. D., Jacobs, D. R., Bangdiwala, S., & Tyroler, H. A. (1989) · Circulation · doi:10.1161/01.cir.79.1.8 · Cited by 3,162
Cardiovascular Survey Methods.
(1968) · Annals of Internal Medicine · doi:10.7326/0003-4819-69-6-1335_2 · Cited by 3,052
Hokanson, J. E., & Austin, M. A. (1996) · Journal of Cardiovascular Risk · doi:10.1097/00043798-199604000-00014 · Cited by 1,706
Atherogenic lipoprotein phenotype. A proposed genetic marker for coronary heart disease risk
Austin, M. A., King, M. C., Vranizan, K. M., & Krauss, R. M. (1990) · Circulation · doi:10.1161/01.cir.82.2.495 · Cited by 1,411
Gardner, C. D. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03540110029028 · Cited by 843 · cited 1×
“In a recent nested casecontrol study, non–HDL-C level was found to be a significant independent risk factor for incidence of coronary artery disease.(11) Non–HDL-C level has also been shown to predict CVD in special populations.”
BackgroundPekkanen, J., Linn, S., Heiss, G., Suchindran, C. M., Leon, A., Rifkind, B. M., & Tyroler, H. A. (1990) · New England Journal of Medicine · doi:10.1056/nejm199006143222403 · Cited by 821
Report of the Conference on Low Blood Cholesterol: Mortality Associations.
Jacobs, D., Blackburn, H., Higgins, M., Reed, D., Iso, H., McMillan, G., Neaton, J., Nelson, J., Potter, J., & Rifkind, B. (1992) · Circulation · doi:10.1161/01.cir.86.3.1046 · Cited by 720
Cited by
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871
Fihn, S. D., Gardin, J. M., Abrams, J., Berra, K., Blankenship, J. C., Dallas, A. P., Douglas, P. S., Foody, J. M., Gerber, T. C., Hinderliter, A. L., et al. (2012) · Circulation · doi:10.1161/cir.0b013e318277d6a0 · Cited by 845
Kinoshita, M., Yokote, K., Arai, H., Iida, M., Ishigaki, Y., Ishibashi, S., Umemoto, S., Egusa, G., Ohmura, H., Okamura, T., et al. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.gl2017 · Cited by 813
Jacobson, T. A., Ito, M. K., Maki, K. C., Orringer, C. E., Bays, H. E., Jones, P. H., McKenney, J. M., Grundy, S. M., Gill, E. A., Wild, R. A., et al. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.02.003 · Cited by 773
Survival advantages of obesity in dialysis patients
Kalantar-Zadeh, K., Abbott, K. C., Salahudeen, A. K., Kilpatrick, R. D., & Horwich, T. B. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.3.543 · Cited by 610
Metadata
- Authors
- Cui, Y., Blumenthal, R. S., Flaws, J. A., Whiteman, M. K., Langenberg, P., Bachorik, P. S., & Bush, T. L.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2001-06-11
- Volume
- 161
- Issue
- 11
- Pages
- 1413
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W1982444046
- Cited by
- 658
- References
- 50
- FWCI
- 21.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cui, Y., Blumenthal, R. S., Flaws, J. A., Whiteman, M. K., Langenberg, P., Bachorik, P. S., & Bush, T. L. (2001). Non–High-Density Lipoprotein Cholesterol Level as a Predictor of Cardiovascular Disease Mortality. Archives of Internal Medicine. https://doi.org/10.1001/archinte.161.11.1413
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