Cardiovascular risk prediction in a population with the metabolic syndrome: Framingham vs. UKPDS algorithms
Background: Cardiovascular disease (CVD) risk-prediction algorithms are key in determining one’s eligibility for prevention strategies, but are often population-specific. Metabolic syndrome (MetS), a clustering of risk factors that increase the risk of CVD, does not currently have a risk-prediction...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/23405 |