Sensitivity, Specificity, and Predictive Values of Pediatric Metabolic Syndrome Components in Relation to Adult Metabolic Syndrome: The Princeton LRC Follow-up Study
Objective
To estimate the sensitivity, specificity, and predictive values of pediatric metabolic syndrome (MetS) components (obesity, fasting glucose, triglycerides, high-density lipoprotein, and blood pressure) at various cutoff points in relation to adult MetS.
Study design
Data from the National Heart, Lung, and Blood Institute Lipid Research Clinics Princeton Prevalence Study (1973-1976) and the Princeton Follow-up Study (2000-2004) were used to calculate sensitivity, specificity, and positive and negative predictive values for each component at a given cutoff point and for aggregates of components.
Results
Individual pediatric components alone showed low to moderate sensitivity, high specificity, and moderate predictive values in relation to adult MetS. When all 5 pediatric MetS components were considered, the presence of at least 1 abnormality had higher sensitivity for adult MetS than individual components alone. When multiple abnormalities were mandatory for MetS, positive predictive value was high and sensitivity was low. Childhood body mass alone showed neither high sensitivity nor high positive predictive value for adult MetS.
Conclusions
Considering multiple metabolic variables in childhood can improve the predictive usefulness for adult MetS, compared with each component or body mass alone. MetS variables may be useful for identifying some children who are at risk for prevention interventions.
Abbreviations: BMI, Body mass index, HDL, High-density lipoprotein cholesterol, LRC, Lipid Research Clinics, MetS, Metabolic syndrome, PFS, Princeton Follow-up Study
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Supported in part by National Institute of Child Health and Human Development intramural funds and National Heart, Lung, and Blood Institute LRC contract (NO1-HV22914-L) and research grant (R01-HL62394). This manuscript was prepared for the Pediatric Metabolic Syndrome Working Group.Contents of this publication do not necessarily reflect the views and policies of the National Institutes of Health.
PII: S0022-3476(07)00770-6
doi:10.1016/j.jpeds.2007.08.007
© 2008 Mosby, Inc. All rights reserved.
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