Key result
Continuous metabolic syndrome scores based on z-scores accurately identified metabolic syndrome in adolescents, demonstrating an area under the curve of 0.81 (95% CI 0.784-0.838) with 64.4% specificity.
Why the study?
There is no international consensus on defining MetS in the pediatric population, and continuous MetS scores remain not fully validated due to a lack of agreement on the most accurate calculation method.
Which continuous metabolic syndrome (cMetS) score is most accurate to determine metabolic syndrome in adolescents?
Cross-Sectional (n=981)
Which continuous metabolic syndrome (cMetS) score is most accurate to determine metabolic syndrome in adolescents?
Effect estimate: AUC 0.81 (95% CI 0.784-0.838)
Continuous metabolic syndrome scores based on z-scores are accurate and efficient for research in adolescents, while siMS scores are useful for clinical practice.
cMetS scoring in children lacks consensus; cross-sectional data leave optimal method open for prospective validation.
The definition of metabolic syndrome (MetS) based on dichotomous cut-off points is efficient in the adult population. However, to date, there is no international consensus on how to define MetS in the pediatric population. For that reason, a continuous MetS score (cMetS) has been proposed for the pediatric population. However, despite multiple attempts, cMetS has not been fully validated as there is no agreement about the most accurate score to calculate it. The purpose of the present study was to compare the validity of different scores (three siMS scores, z-score, principal components analysis (PCA), the sum of PCA, and confirmatory factor analysis) to calculate cMetS and determine MetS in Spanish adolescents. There were 981 subjects, ranging 11-16 years old, recruited for this cross-sectional study. Seven different approaches to pediatric cMetS scores were calculated. All cMetS scores calculated strongly correlated with each other, especially siMS scores. The area under the curve obtained from receiving operating characteristic curves was particularly elevated for z-scores 0.81 (95% CI: 0.784-0.838), showing a specificity of 64.4%. Our study shows that cMetS based on z-scores is accurate and efficient to be used for research instead of the dichotomized definition of MetS in adolescents; and cMetS based on siMS scores is useful for clinical practice.
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Fernández‐Aparicio et al. (2022) conducted a cross-sectional in Metabolic syndrome (n=981). Continuous MetS score (cMetS) based on z-scores vs. Other cMetS scores and dichotomized MetS definition was evaluated on Validity to determine metabolic syndrome (Area under the curve) (AUC 0.81, 95% CI 0.784-0.838). Continuous metabolic syndrome scores based on z-scores accurately identified metabolic syndrome in adolescents, demonstrating an area under the curve of 0.81 (95% CI 0.784-0.838) with 64.4% specificity.
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