The research of neurohormonal biomarkers in arterial hypertension diagnosis in adolescents
Arterial hypertension (AHT) is currently considered one of the most common pathologies of the cardiovascular system and one of the risk factors of atherosclerosis and chronic myocardial dysfunctions. Essential hypertension is accompanied by metabolic disorders, hypercatecholaminemia, hypertriglyceridemia, hyperinsulinemia, excessive fat storage in adipocytes in obese patients as well as other factors. To assess the degree and prognosis of arterial hypertension, it is important to use early diagnosis, first of all the signs of heart remodeling, metabolic and neurohormonal disorders, and changes in the arterial wall. Objectives of the study. Indices evaluation of neurohormonal biomarkers in arterial hypertension diagnosis in adolescents. Material and methods. The hemodynamic parameters of cardiac performance and neurohormonal biomarkers have been evaluated in this study of 113 children, divided in two groups. The first group included 52 patients, having chronic heart failure secondary to arterial hypertension and the second control group included 85 children. Obtained results. The EcoCG parameters in patients with arterial hypertension detected left myocardial hypertrophy and the septum myocardial hypertrophy, and the modification of the LVEF, LVSF. The determination of specific biochemical tests assessing myocardial damage biomarkers in patients with congestive heart failure secondary to arterial hypertension confirmed a statistically significant increase in serum content epinephrine in comparison with the control group (p<0.001), of the conclusive norepinephrine the control (p<0.05) and increase in urine content catecholamine in activity significance compared to the control group (p<0.001), with further increase concentration level in the dynamic therapy (p<0.001). Conclusions. The investigation performed shows that the patients with chronic heart failure develop hypoxic and ischemic processes, that lead to modified of hemodynamic parameters and metabolic and neurohormonal biomarkers.