Estimating cardiovascular disease risk and the metabolic syndrome: a Framingham view
Abstract
The metabolic syndrome as currently defined by the Adult Treatment Panel III includes multiple components. This article describes the background for these components' inclusion in the syndrome,measurement of these factors, and the appropriate interventions. The factors are highly interrelated and the true utility of this diagnostic entity is under critical evaluation as new and existing data are evaluated concerning the role of the syndrome in the development of vascular disease and other clinical outcomes.
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Framingham investigators observe little or no gain in CHD predictive power when abdominal obesity, triglycerides, or fasting glucose are added to their 10-year risk algorithm.
“Framingham investigators find little or no increase in predictive power for CHD by adding abdominal obesity, triglycerides, or fasting glucose to their 10-year risk algorithm.58,144”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [144]
Metabolic syndrome by itself is not a sufficient tool for estimating 10-year risk of coronary heart disease.
“The metabolic syndrome per se is not an adequate tool to estimate 10-year risk for CHD.”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [144]
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“The incidence of MetS is highest in lean or obese women whose dietary pattern consists of consuming high levels of fat and sweetened beverages [7], and the risk of developing type 2 diabetes increases more than ten-fold in women with MetS [8].”
BackgroundNueva definición del síndrome metabólico: ¿mismo riesgo cardiovascular?
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“2007; Wilson 2004), and identified based on documentation of the presence of 3 or more of the following conditions: (1) pre-diabetes/diabetes, (2) dyslipidemia, (3) hypertension, or (4) overweight/obesity.”
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“The Framingham Study [6] shows that the components of the syndrome that contributed most to cardiovascular disease outcome were high blood pressure (33%) and low HDL cholesterol (25%).”
BackgroundManaging cardiovascular risk inpatients with metabolic syndrome
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“It has also been found that the addition of individual components of MetS to conventional risk scales does not improve their prediction [32], making it less important to find associations with its components.”
BackgroundExtracranial Cerebrovascular Occlusive Disease
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“MS is a clustering of risk factors known to promote or increase the risk of cardiovascular disease including impaired glucose metabolism, hypertension, dyslipidemia and abdominal obesity [15-17].”
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- Authors
- Wilson, P. W. F.
- Affiliations
- Medical University of South Carolina (US)
- Corresponding author
- Wilson, Peter W.F
- ORCID
- Wilson, Peter W.F
- Venue
- Endocrinology and Metabolism Clinics of North America
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 33
- Issue
- 3
- Pages
- 467-481
- ISSN
- 0889-8529 (ISSN-L)
- OpenAlex
- W2088165924
- Cited by
- 65
- References
- 63
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 2 · 2013: 3 · 2012: 6
- FWCI
- 1.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Endocrinology and Metabolism Clinics of North America (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Keywords
- metabolic syndrome, cardiovascular risk, Adult Treatment Panel III criteria, cardiovascular risk prediction, vascular disease, diagnostic criteria, risk factors
- MeSH terms
- Cardiovascular Diseases, Humans, Risk Factors, Metabolic Syndrome
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