We have recently presented an algorithm to compute metabolic syndrome (MetS) as a continuous variable, called MetS score . It summarizes waist circumference, BMI, blood pressure, blood glucose, HDL-cholesterol and triglycerides into one quantitative phenotype that is both clinically interpretable and useful for evaluating the association with cardiovascular diseases and for investigating the MetS genetic component . We first evaluated its performance assessing the area under the receiver operating characteristics (ROC) curve, which was 0.88, indicating excellent discrimination
Graziano, F., Grassi, M., Bonati, M., Zanchetti, A., Biino, G. (2016). External validation of the MetS score, a prediction tool for metabolic syndrome. NMCD. NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 26(4), 359-360 [10.1016/j.numecd.2015.12.014].
External validation of the MetS score, a prediction tool for metabolic syndrome
Graziano, F;
2016
Abstract
We have recently presented an algorithm to compute metabolic syndrome (MetS) as a continuous variable, called MetS score . It summarizes waist circumference, BMI, blood pressure, blood glucose, HDL-cholesterol and triglycerides into one quantitative phenotype that is both clinically interpretable and useful for evaluating the association with cardiovascular diseases and for investigating the MetS genetic component . We first evaluated its performance assessing the area under the receiver operating characteristics (ROC) curve, which was 0.88, indicating excellent discrimination
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