Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Does the metabolic syndrome add to the diagnosis and treatment of cardiovascular disease?

Abstract

Much controversy has surrounded both the pathological basis and the clinical utility of the metabolic syndrome. Key questions still revolve around the definition of this syndrome, its utility as a predictor of cardiovascular risk, and the treatment implications of diagnosis. The metabolic syndrome is associated with increased cardiovascular risk. However, the metabolic syndrome clearly underperforms compared with other, established prediction equations, such as the Framingham Risk Score and SCORE (Systemic COronary Risk Evaluation). Differences arise because the components are highly correlated (whereas other tools specifically include independent predictors) and because diagnosis is based on dichotomized variables. These facts, together with uncertain pathophysiology, mean that the metabolic syndrome in its current manifestation has limited utility for the diagnosis and treatment of cardiovascular disease. The syndrome has, however, served and continues to serve a useful purpose in raising awareness of the metabolic consequences of obesity, and as a spur for research into metabolic risk factor interactions.

Key Points

  • Metabolic syndrome is associated with increased cardiovascular risk

  • The total risk associated with metabolic syndrome might be greater than that of its component parts, although the evidence for this is not clear

  • Metabolic syndrome performs poorly compared with tools designed specifically to identify individuals at increased cardiovascular risk

  • There is no single mechanism that underlies the pathophysiology of the metabolic syndrome, and pharmacological treatment should, therefore, be restricted to treating individual risk factors according to established guidelines

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: A comparison of risk factors for cardiovascular morbidity and total mortality in the Groningen PREVEND study cohort.
Figure 2: Receiver operating characteristic curve analyses for an established risk equation (Framingham equation), systolic blood pressure, hypertension, the metabolic syndrome modeled as a continuous variable, and the metabolic syndrome as a dichotomous variable as predictors of cardiovascular events in the Groningen PREVEND study.

Similar content being viewed by others

References

  1. Reaven GM (1988) Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 37: 1595–1607

    Article  CAS  Google Scholar 

  2. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive Summary of the Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 285: 2486–2497

  3. Alberti KG and Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15: 539–553

    Article  CAS  Google Scholar 

  4. Alberti KG et al. (2005) The metabolic syndromea new worldwide definition. Lancet 366: 1059–1062

    Article  Google Scholar 

  5. Kahn R et al. (2005) The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 28: 2289–2304

    Article  Google Scholar 

  6. Grundy SM (2005) Point: the metabolic syndrome still lives. Clin Chem 51: 1352–1354

    Article  CAS  Google Scholar 

  7. Gotto AM Jr et al. (2006) The metabolic syndrome: a call to action. Coron Artery Dis 17: 77–80

    Article  Google Scholar 

  8. Ruderman NB et al. (1981) The “metabolically-obese,” normal-weight individual. Am J Clin Nutr 34: 1617–1621

    Article  CAS  Google Scholar 

  9. Gami AS et al. (2007) Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol 49: 403–414

    Article  CAS  Google Scholar 

  10. Lorenzo C et al. (2007) The National Cholesterol Education Program–Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes. Diabetes Care 30: 8–13

    Article  Google Scholar 

  11. Ridker PM et al. (2002) Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med 347: 1557–1565

    Article  CAS  Google Scholar 

  12. Ridker PM et al. (2003) C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14 719 initially healthy American women. Circulation 107: 391–397

    Article  Google Scholar 

  13. Asselbergs FW et al. (2004) Framingham score and microalbuminuria: combined future targets for primary prevention? Kidney Int Suppl 92: S111–S114

    Article  CAS  Google Scholar 

  14. Lagakos SW (1988) Effects of mismodelling and mismeasuring explanatory variables on tests of their association with a response variable. Stat Med 7: 257–274

    Article  CAS  Google Scholar 

  15. Royston P et al. (2006) Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med 25: 127–141

    Article  Google Scholar 

  16. Anderson KM et al. (1991) Cardiovascular disease risk profiles. Am Heart J 121: 293–298

    Article  CAS  Google Scholar 

  17. Conroy RM et al. (2003) Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24: 987–1003

    Article  CAS  Google Scholar 

  18. Pinto-Sietsma SJ et al. (2000) Urinary albumin excretion is associated with renal functional abnormalities in a nondiabetic population. J Am Soc Nephrol 11: 1882–1888

    CAS  PubMed  Google Scholar 

  19. Bakker SJL et al. (2007) Metabolic syndrome: a fata morgana? Nephrol Dial Transplant 22: 15–20

    Article  Google Scholar 

  20. Wannamethee SG et al. (2005) Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med 165: 2644–2650

    Article  Google Scholar 

  21. Lasko TA et al. (2005) The use of receiver operating characteristic curves in biomedical informatics. J Biomed Inform 38: 404–415

    Article  Google Scholar 

  22. Deedwania PC and Volkova N (2005) Current Treatment Options for the Metabolic Syndrome. Curr Treat Options Cardiovasc Med 7: 61–74

    Article  Google Scholar 

  23. Grundy SM (2006) Metabolic syndrome: connecting and reconciling cardiovascular and diabetes worlds. J Am Coll Cardiol 47: 1093–1100

    Article  CAS  Google Scholar 

  24. Sironi L et al. (2005) Anti-inflammatory properties of drugs acting on the renin-angiotensin system. Drugs Today (Barc) 41: 609–622

    Article  CAS  Google Scholar 

  25. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) (2002) Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 106: 3143–3421

Download references

Acknowledgements

PAREXEL MMS provided writing assistance, comprising preparation of a draft from slides and audio transcript, preparation of figures and obtaining copyright permissions, proofreading, and reference checking.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dick de Zeeuw.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Zeeuw, D., Bakker, S. Does the metabolic syndrome add to the diagnosis and treatment of cardiovascular disease?. Nat Rev Cardiol 5 (Suppl 1), S10–S14 (2008). https://doi.org/10.1038/ncpcardio1271

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ncpcardio1271

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing