Use of mathematical modeling in the risk assessment development and progression metabolic syndrome
Based on the evaluation of data of carbohydrate, lipid metabolism, lipid peroxidation and inflammation, the functional state of the cardiovascular system, liver identify prognostically significant factors influencing the development and progression of metabolic syndrome and the risk to develop predictive formula MS using mathematical modeling. The study of metabolic, hemodynamic patterns in the formation of the metabolic syndrome using a systematic analysis established prognostic markers of the metabolic syndrome. Using a regression model developed prognostic index risk of metabolic syndrome, which is calculated using the parameters of lipid-transport system, lipid peroxidation, liver function, hemodynamics. The lower the value of prognostic index, the lower the risk of metabolic syndrome and cardiovascular complications. Use of this prognostic index can not only improve the risk stratification of metabolic syndrome, but also time to carry out therapy to prevent progression of the metabolic syndrome and cardiovascular complications.