Análisis dimensional de variables antropométricas y bioquímicas para diagnosticar el síndrome metabólico
Journal Title: MASKANA - Year 2017, Vol 8, Issue 1
Abstract
Metabolic syndrome (MS) is a lifestyle-related condition, and it is linked to the development of diabetes and cardiovascular disease. There are numerous diagnostic criteria of MS; the most used is the diagnostic criterion according to NCEP-ATPIII. Although studies using body mass index and abdominal circumference have been performed to establish a cutoff point for the diagnosis of MS, there is no general index that establishes a cut-off point for this pathology diagnosis. The objective of this study is to propose a dimensionless index that can discriminate subjects with MS using biochemical variables (HDL, triglycerides) and anthropometric variables (weight, height, waist circumference). Three dimensionless indexes were designed and evaluated from the data obtained from the integration of three databases (n=829 subjects). By means of a simple correspondence analysis of the variables and a dimensional analysis based on the π Vaschy-Buckingham theorem, three dimensionless indexes were constructed: π1, π2 and π3. Performance was assessed using Receiver Operating Characteristic (ROC) curves. The index π1, constructed with the variables: Abdominal circumference, triglycerides, weight and height; was the one that obtained a better performance as classifier of MS, presenting an area under the ROC curve of 0.86, a sensitivity and specificity greater than 0.7 and an optimum detection point for the diagnosis of MS of π1<104.87. The π1 dimensionless index designed in this study is a simple method, which requires fewer variables than the NCEP-ATPIII criterion, to diagnose MS.
Authors and Affiliations
Jesús Velásquez, Héctor Herrera, Lorena Encalada, Sara Wong, Erika Severeyn
Keywords
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