Metabolic syndrome and cardiovascular risk assessment tools’ estimations of 10-year cardiovascular risk: a population-based study

Abstract

Background: This cross-sectional study determines the association between 10-year cardiovascular disease (CVD) risk, estimated using four CVD risk assessment tools, and metabolic syndrome (MetS) in northern Iranian general population. Methods: We used the data of 2371 participants aged 40–74 without any history of diabetes mellitus from a cohort study conducted among 6140 subjects aged 10–90 years in northern Iran. Three definitions of MetS were used. The four CVD risk assessment tools used to estimate the 10-year CVD risk included pooled cohort equations of ACC/AHA, Systematic Coronary Risk Evaluation (SCORE) equations (for low-risk and high-risk European countries), and Framingham general cardiovascular risk profile for use in primary care. Logistic regression was used to determine the association between various definitions of MetS and 10-year CVD risk of ≥5%, ≥ 7.5%, and ≥10%, based on the related risk assessment tools. Results: In men, univariate logistic regression analysis showed the strongest association between 10-year risk of ≥0.1 estimated by Framingham risk profile and the three definitions of MetS. In women, the 10-year risks by Framingham risk profile and SCORE equations for high-risk European countries had stronger associations with various definitions of MetS than others. No significant associations were detected between estimated risks of four risk assessment tools and various definitions of MetS in multivariate logistic regression analyses. Conclusion: No independent associations were observed between estimations of 10-year CVD risk using four risk assessment tools and various definitions of MetS.