The "Five Risks algorithm": an easy tool for cardiovascular risk estimation
Language English Country Czech Republic Media print
Document type Journal Article, Validation Study
PubMed
20020602
DOI
10.21101/cejph.b0016
Knihovny.cz E-resources
- MeSH
- Algorithms * MeSH
- Diabetes Mellitus MeSH
- Risk Assessment MeSH
- Hypercholesterolemia diagnosis drug therapy MeSH
- Hypertension MeSH
- Hypolipidemic Agents therapeutic use MeSH
- Cardiovascular Diseases prevention & control MeSH
- Middle Aged MeSH
- Humans MeSH
- Sensitivity and Specificity MeSH
- Patient Selection * MeSH
- Health Surveys MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Validation Study MeSH
- Names of Substances
- Hypolipidemic Agents MeSH
The aim of this study is to provide an easy tool to identify patients with a high cardiovascular risk, especially those qualifying for lipid-lowering treatment. The decision to treat with lipid-lowering drugs was assessed with five new risk algorithms. The Five Risk algorithm (5R) takes into account male gender, high systolic blood pressure, high total cholesterol, smoking and high blood sugar as independent risk factors. Patients with three independent risk factors qualify for lipid-lowering treatment. Compared to the Framingham Risk Score, the 5R has a Kappa coefficient of 0.62. Compared to the SCORE, the Six Risk algorithm (6RDF) has a Kappa coefficient of 0.70. The 6RDF uses only four independent risk factors (male gender, high systolic blood pressure, high total cholesterol and smoking) but having diabetes or a family history of premature coronary heart disease are exclusion criteria for which treatment with lipid-lowering drugs is always indicated.
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