Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents

Abstract

Clustering of abnormal metabolic traits, the Metabolic Syndrome (MetS), has been associated with an increased cardiovascular disease (CVD) risk. Several algorithms including the MetS and other risk factors exist for adults to predict the risk of CVD. We discuss the use of MetS scores and algorithms in an attempt to predict later cardiometabolic risk in… (More)
DOI: 10.1155/2013/684782

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