The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Low-Density Lipoprotein Particle Concentration and Size as Determined by Nuclear Magnetic Resonance Spectroscopy as Predictors of Cardiovascular Disease in Women
Abstract
Background— Nuclear magnetic resonance (NMR) offers an alternative, spectroscopic means of quantifying LDL and of measuring LDL particle size. Methods and Results— We conducted a prospective nested case-control study among healthy middle-aged women to assess LDL particle size (NMR) and concentration (NMR) as risk factors for future myocardial infarction, stroke, or death of coronary heart disease. Median baseline levels of LDL particle concentration (NMR) were higher (1597 vs 1404 nmol/L; P = 0.0001) and LDL particle size (NMR) was lower (21.5 vs 21.8 nm; P =0.046) among women who subsequently had cardiovascular events (n=130) than among those who did not (n= 130). Of these 2 factors, LDL particle concentration (NMR) was the stronger predictor (relative risk for the highest compared with the lowest quartile=4.17, 95% CI 1.96–8.87). This compared with a relative risk of 3.11 (95% CI 1.55–6.26) for the ratio of total cholesterol to HDL cholesterol and a relative risk of 5.91 (95% CI 2.65–13.15) for C-reactive protein. The areas under the receiver operating characteristic curves for LDL particle concentration (NMR), total cholesterol to HDL cholesterol ratio, and C-reactive protein were 0.64, 0.64, and 0.66, respectively. LDL particle concentration (NMR) correlated with several traditionally assessed lipid and nonlipid risk factors, and thus adjustment for these tended to attenuate the magnitude of association between LDL particle concentration (NMR) and risk. Conclusions— In this cohort, LDL particle concentration measured by NMR spectroscopy was a predictor of future cardiovascular risk. However, the magnitude of predictive value of LDL particle concentration (NMR) was not substantively different from that of the total cholesterol to HDL cholesterol ratio and was less than that of C-reactive protein.
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Ridker, P. M., Hennekens, C. H., Buring, J. E., & Rifai, N. (2000) · New England Journal of Medicine · doi:10.1056/nejm200003233421202 · Cited by 5,850
Self-citationRidker, P. M. (2001) · Circulation · doi:10.1161/01.cir.103.13.1813 · Cited by 1,402
Self-citationA prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction.
Stampfer, M. J., Sacks, F. M., Salvini, S., Willett, W. C., & Hennekens, C. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199108083250601 · Cited by 1,163
Stampfer, M. J. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03540110036029 · Cited by 1,079
Lamarche, B., Tchernof, A., Moorjani, S., Cantin, B., Dagenais, G. R., Lupien, P. J., & Despre´s, J.-P. (1997) · Circulation · doi:10.1161/01.cir.95.1.69 · Cited by 1,077
Gardner, C. D. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03540110029028 · Cited by 843
Clinical Efficacy of an Automated High-Sensitivity C-Reactive Protein Assay
Rifai, N., Tracy, R. P., & Ridker, P. M. (1999) · Clinical Chemistry · doi:10.1093/clinchem/45.12.2136 · Cited by 613
Self-citationLamarche, B., Moorjani, S., Lupien, P. J., Cantin, B., Bernard, P.-M., Dagenais, G. R., & Despre´s, J.-P. (1996) · Circulation · doi:10.1161/01.cir.94.3.273 · Cited by 476
Otvos, J. D., Jeyarajah, E. J., Bennett, D. W., & Krauss, R. M. (1992) · Clinical Chemistry · doi:10.1093/clinchem/38.9.1632 · Cited by 420
Self-citationMeasurement of lipoprotein subclass profiles by nuclear magnetic resonance spectroscopy.
Otvos, J. D. (2002) · PubMed · Cited by 356
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The Metabolic Syndrome and Cardiovascular Risk
Mottillo, S., Filion, K. B., Genest, J., Joseph, L., Pilote, L., Poirier, P., Rinfret, S., Schiffrin, E. L., & Eisenberg, M. J. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.05.034 · Cited by 3,009
Clinical application of C-reactive protein for cardiovascular disease detection and prevention
Ridker, P. M. (2003) · Circulation · doi:10.1161/01.cir.0000053730.47739.3c · Cited by 2,513
Self-citationDietary fats and cardiovascular disease: a presidential advisory from the American Heart Association
Sacks, F. M., Lichtenstein, A. H., Wu, J. H. Y., Appel, L. J., Creager, M. A., Kris-Etherton, P. M., Miller, M., Rimm, E. B., Rudel, L. L., Robinson, J. G., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000510 · Cited by 1,386
Biomarkers of Cardiovascular Disease: Molecular Basis and Practical Considerations
Vasan, R. S. (2006) · Circulation · doi:10.1161/circulationaha.104.482570 · Cited by 1,212
Jellinger, P. S., Handelsman, Y., Rosenblit, P. D., Bloomgarden, Z. T., Fonseca, V. A., Garber, A. J., Grunberger, G., Guerin, C. K., Bell, D. S. H., Mechanick, J. I., et al. (2017) · Endocrine Practice · doi:10.4158/ep171764.appgl · Cited by 1,094
Metadata
- Authors
- Blake, G. J., Otvos, J. D., Rifai, N., & Ridker, P. M.
- Venue
- Circulation
- Published
- 2002-10-08
- Volume
- 106
- Issue
- 15
- Pages
- 1930-1937
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2145167597
- Cited by
- 409
- References
- 26
- FWCI
- 18.75
- Type
- journal article
- Language
- en
- Open access
- closed
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