FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely cardiology, and can be used to predict the risk of developing left ventricular diastolic dysfunction in obese patients. The values of metabolic risk factors and profibrotic factors are determined: glucose, low-density lipoprotein cholesterol (LDL cholesterol), triglycerides (TG), leptin receptor, leptin, matrix metalloproteinase type 3 (MMP-3), free fatty acids (FFA), procollagen I C-terminal propeptide (PICP), thickness of epicardial adipose tissue (tEAT). After that, the numerical values of risk factors are mathematically processed to obtain the probability of diastolic dysfunction according to the formula:
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where P is the probability of developing diastolic dysfunction, the value “beta” is the result of calculation for a particular patient according to the logit regression equation: beta=-28.6834-2.5896∙X1+1.5669∙X2+4.8677∙X3+0.1719∙X4-0.1633∙X5-0.3022∙Х6+7.5879∙Х7-0.0148∙Х8+4.1753∙Х9 where X1 is glucose, mmol/l, X2 is LDL cholesterol, mmol/L X3 is TG, mmol/L, X4 is leptin receptor, ng/ml, X5 is leptin, ng/ml, X6 is MMR-3, ng/ml, X7 is FFA, mmol/l, X8 is PICP pg/ml, X9 is tEAT, mm, -28.6834 is a free term of the equation.
EFFECT: method makes it possible to create a more accurate and specifically targeted method for predicting the risk of developing left ventricular diastolic dysfunction in obese patients due to a mathematical prediction model that includes an assessment of a set of risk factors.
1 cl, 2 dwg, 2 ex
