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Metabolic Syndrome vs Framingham Risk Score for Prediction of Coronary Heart Disease, Stroke, and Type 2 Diabetes Mellitus
Abstract
BACKGROUND: We sought to compare metabolic syndrome (MetS) with the Framingham Risk Score (FRS) as predictors of coronary heart disease (CHD), stroke, and type 2 diabetes mellitus (DM2) in middle-aged men. METHODS: A prospective study of 5128 men aged 40 to 59 years with no history of cardiovascular disease (CVD) (CHD or stroke) or DM2 drawn from general practices in 24 British towns and observed for 20 years. Metabolic syndrome was defined as the presence of 3 or more metabolic abnormalities based on modified National Cholesterol Education Program criteria. RESULTS: Men with MetS at baseline (26%) showed significantly higher relative risk (RR) than men without MetS of developing CHD (RR, 1.64; 95% confidence interval [CI], 1.41-1.90), stroke (RR, 1.61 95% CI, 1.26-2.06), and DM2 (RR, 3.57; 95% CI, 2.83-4.50). The probability of developing CVD or DM2 over 20 years increased from 11.9% in those with no abnormalities to 31.2% in those with 3 abnormalities to 40.8% in those with 4 or 5 abnormalities. The FRS was a better predictor of CHD and stroke than MetS but was less predictive of DM2. Areas under the receiver-operating characteristic curves for FRS vs the number of metabolic abnormalities were 0.68 vs 0.59 for CHD, 0.60 vs 0.70 for DM2, and 0.66 vs 0.55 for stroke (P< .001 for all). CONCLUSIONS: Presence of MetS is a significant predictor of CVD and DM2 but is a stronger predictor of DM2 than of CHD. Although MetS does not predict CHD as well as the FRS, it serves well as a simple clinical tool for identifying high-risk subjects predisposed to CVD or DM2.
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Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760
Comment on the provisional report from the WHO consultation
(1999) · Diabetic Medicine · doi:10.1046/j.1464-5491.1999.00059.x · Cited by 1,820
Laaksonen, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf145 · Cited by 916
Stern, M. P., Williams, K., González-Villalpando, C., Hunt, K. J., & Haffner, S. M. (2004) · Diabetes Care · doi:10.2337/diacare.27.11.2676 · Cited by 735
Rutter, M. K., Meigs, J. B., Sullivan, L. M., D’Agostino, R. B., & Wilson, P. W. F. (2004) · Circulation · doi:10.1161/01.cir.0000136581.59584.0e · Cited by 664
Hunt, K. J., Resendez, R. G., Williams, K., Haffner, S. M., & Stern, M. P. (2004) · Circulation · doi:10.1161/01.cir.0000140762.04598.f9 · Cited by 662
Perry, I. J., Wannamethee, S. G., Walker, M. K., Thomson, A. G., Whincup, P. H., & Shaper, A. G. (1995) · BMJ · doi:10.1136/bmj.310.6979.560 · Cited by 532
Self-citation
Cited by
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Heart Disease and Stroke Statistics—2012 Update: A Report From the American Heart Association
Writing Group Members, Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., et al. (2012) · Circulation · doi:10.1161/cir.0b013e31823ac046 · Cited by 7,333
Heart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Heart Disease and Stroke Statistics—2011 Update: A Report From the American Heart Association
Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Adams, R. J., Berry, J. D., Brown, T. M., Carnethon, M. R., Dai, S., de Simone, G., Ford, E. S., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182009701 · Cited by 6,149
Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., de Ferranti, S., Després, J.-P., Fullerton, H. J., Howard, V. J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000152 · Cited by 5,797
Heart Disease and Stroke Statistics—2010 Update: A Report From the American Heart Association
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., Ferguson, T. B., Ford, E., Furie, K., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192667 · Cited by 5,700
Kernan, W. N., Ovbiagele, B., Black, H. R., Bravata, D. M., Chimowitz, M. I., Ezekowitz, M. D., Fang, M. C., Fisher, M., Furie, K. L., Heck, D. V., et al. (2014) · Stroke · doi:10.1161/str.0000000000000024 · Cited by 5,170
Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437741.48606.98 · Cited by 3,697
Rosamond, W., Flegal, K., Friday, G., Furie, K., Go, A., Greenlund, K., Haase, N., Ho, M., Howard, V., Kissela, B., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.179918 · Cited by 3,277
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140
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
Cornier, M.-A., Dabelea, D., Hernandez, T. L., Lindstrom, R. C., Steig, A. J., Stob, N. R., Van Pelt, R. E., Wang, H., & Eckel, R. H. (2008) · Endocrine Reviews · doi:10.1210/er.2008-0024 · Cited by 2,162
Bushnell, C., McCullough, L. D., Awad, I. A., Chireau, M. V., Fedder, W. N., Furie, K. L., Howard, V. J., Lichtman, J. H., Lisabeth, L. D., Piña, I. L., et al. (2014) · Stroke · doi:10.1161/01.str.0000442009.06663.48 · Cited by 941
Risk models and scores for type 2 diabetes: systematic review
Noble, D., Mathur, R., Dent, T., Meads, C., & Greenhalgh, T. (2011) · BMJ · doi:10.1136/bmj.d7163 · Cited by 551
Insulin resistance and atherosclerosis
Semenkovich, C. F. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29024 · Cited by 481
Self-Reported Sleep Duration is Associated with the Metabolic Syndrome in Midlife Adults
Hall, M. H., Muldoon, M. F., Jennings, J. R., Buysse, D. J., Flory, J. D., & Manuck, S. B. (2008) · Sleep · doi:10.1093/sleep/31.5.635 · Cited by 447
Risk assessment tools for identifying individuals at risk of developing type 2 diabetes
Buijsse, B., Simmons, R. K., Griffin, S. J., & Schulze, M. B. (2011) · Epidemiologic Reviews · doi:10.1093/epirev/mxq019 · Cited by 297
The metabolic syndrome: time to get off the merry-go-round?: Review: The metabolic syndrome
Reaven, G. M. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02325.x · Cited by 214
Menopause is an independent predictor of metabolic syndrome in Iranian women
Eshtiaghi, R., Esteghamati, A., & Nakhjavani, M. (2010) · Maturitas · doi:10.1016/j.maturitas.2009.11.004 · Cited by 195
Smith, S., Yeomans, D., Bushe, C. J. P., Eriksson, C., Harrison, T., Holmes, R., Mynors-Wallis, L., Oatway, H., & Sullivan, G. (2007) · European Psychiatry · doi:10.1016/j.eurpsy.2007.07.002 · Cited by 95
Association between Short Sleep Duration and High Incidence of Metabolic Syndrome in Midlife Women
Choi, J.-K., Kim, M.-Y., Kim, J.-K., Park, J.-K., Oh, S.-S., Koh, S.-B., & Eom, A. (2011) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.225.187 · Cited by 86
The Metabolic Syndrome (Emperor) Wears No Clothes
Kahn, R. (2006) · Diabetes Care · doi:10.2337/dc06-0671 · Cited by 84
An, S., & Song, R. (2020) · Patient Education and Counseling · doi:10.1016/j.pec.2020.04.029 · Cited by 77
Cheng, Y., Li, J., Ren, X., Wang, D., Yang, Y., Miao, Y., Sheng, C., & Tian, J. (2021) · The Journal of Clinical Hypertension · doi:10.1111/jch.14314 · Cited by 25
Farhangi, M. A., & Jahangiry, L. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2019.12.009 · Cited by 8
Metadata
- Authors
- Wannamethee, S. G., Shaper, A. G., Lennon, L., & Morris, R. W.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2005-12-12
- Volume
- 165
- Issue
- 22
- Pages
- 2644
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2134796344
- Cited by
- 672
- References
- 8
- FWCI
- 27.18
- Type
- journal article
- Language
- en
- Open access
- closed
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