Patterns of Lipid Metabolism in Myocardial Infarction Com-Plicated by Cardiogenic Shock in Males Under 60 Years Old With Metabolic Syndrome

Relevance. Changes in lipid metabolism during myocardial infarction complicated by cardiogenic shock are potentially important for evaluating the effects of therapy and expanding the possibilities of prevention. Aim. To evaluate the changes in lipid metabolism during acute and subacute myocardial infarction, complicated by cardiogenic shock, periods in males under 60 years old (y.o.) with metabolic syn-drome to improve prevention and outcomes. Material and methods. The results of inpatient examination and treatment of males aged 39-60 y.o. with metabolic syndrome and myocardial infarction were studied. Patients were divided into two age-comparable groups: the study group, with cardiogenic shock - 10 patients and the control group, without it - 103 patients. The parameters of lipid metabolism and their dynamics were compared in the first hours (1) and at the end of the third week of MI (2) in selected groups, their influence was assessed (risk analysis by Pearson's Chi-square test) on the risk of cardiogenic shock development. Results. The compared groups did not differ in the levels of lipid metabolism and their ratios both in the first hours and at the end of the third week of myocardial infarction. Reliable dynamics of their changes for all studied parameters was obtained only in the control group. The risk of cardiogenic shock was associated with a total cholesterol serum level of ≥7.0 mmol/l (absolute risk: 33.3%; relative: 8.67 (2.05; 36.72); p=0.0009); and an atherogenicity coefficient of ˂ 3.00 mmol/l and (absolute risk 12.5%; p=0.02). Conclusions. There were no significant differences in lipid levels in the initial periods of myocardial infarction in males under 60 y.o. with metabolic syndrome, depending on the cardiogenic shock development. This complication in the examined patients is associated with the above-mentioned levels of total cholesterol and the coefficient of atherogenicity of the first hours of the disease. It is advisable to use them in predictive modeling.