Estimation of the proportion of metabolic syndrome-free subjects on high cardiometabolic risk using two continuous cardiometabolic risk scores: a cross-sectional study in 16- to 20-year-old individuals.

Affiliation

Institute of Molecular BioMedicine, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08, Bratislava, Slovakia. [Email]

Abstract

In contrast to the dichotomous classification of metabolic syndrome, continuous metabolic syndrome scores enable to assess cardiometabolic burden in metabolic syndrome-free individuals. Using receiver operating characteristics analysis, discrimination power of continuous metabolic syndrome score calculated from population-based Z-scores or individual measures corrected to the accepted international standards for presence/absence of metabolic syndrome was assessed. Calculated cutoff values were used to estimate the proportions of metabolic syndrome-free subjects presenting high cardiometabolic risk. Clinical data were collected from 2331 (52% females) 16- to 20-year-old subjects. Receiver operating characteristics analyses showed an acceptable performance of both scores to classify metabolic syndrome presence: area under the curve (97-98%), sensitivity (95-100%), and specificity (86-96%). Compared with the prevalence of metabolic syndrome, proportions of metabolic syndrome-free subjects on high cardiometabolic risk, e.g., presenting continuous scores ≥ cutoff points, were about 3-fold higher in males, and 4-fold higher in females. Both scores correlated significantly with markers of cardiometabolic risk.Conclusion: Continuous cardiometabolic syndrome scores are practical tools to evaluate cardiometabolic risk in subjects not presenting metabolic syndrome. Accuracy, simplicity, and ability to classify metabolic syndrome-free subjects on high cardiometabolic risk make continuous metabolic syndrome score derived from international standards convenient for use in research and clinical practice. What is Known: • Dichotomous classification of metabolic syndrome is simple but not suitable for assessment of cardiometabolic burden in metabolic syndrome-free subjects. This prompted implementation of continuous scores, which are generally sample-specific. Score based on internationally accepted standards allows for comparison between populations and studies. • The performance of different continuous metabolic syndrome scores to assess the prevalence of metabolic syndrome-free subjects presenting high cardiometabolic burden has not been compared yet. What is New: • We compared the discrimination power of sample-specific Z-score-derived continuous metabolic syndrome score and that calculated based on internationally accepted standards for presence or absence of metabolic syndrome in young subjects. • The prevalence of metabolic syndrome-free subjects presenting high cardiometabolic risk was estimated using the cutoff points of continuous metabolic syndrome scores derived from the analyses of receiver operating characteristic curves.

Keywords

Cardiometabolic risk,Continuous cardiometabolic risk score,Metabolic syndrome,Prevalence,

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