Evaluation of indicators of endothelial dysfunction and intracardiac hemodynamics of the left ventricle in patients with chronic pulmonary heart bronchopulmonary genesis of comorbidity with essential arterial hypertension

Autor: Svitlana I, Treumova, Ivan V, Redchyts, Tetiana A, Trybrat, Svitlana V, Shut, Olena O, Honcharova, Viktor P, Boriak
Rok vydání: 2020
Předmět:
Zdroj: Wiadomosci lekarskie (Warsaw, Poland : 1960). 72(12 cz 1)
ISSN: 0043-5147
Popis: Introduction: Chronic obstructive pulmonary disease (COPD) is the main cause of progression chronic pulmonary heart (CPH), it is a serious worldwide problem. The combination of COPD with essential arterial hypertension (EAH) ranges from 4 to 27.7% with increasing age. The aim: To evaluate endothelium function changes by the level of metabolites of nitric oxide, endothelin-1(ET-1), values of ultrasonic diagnosis of the humeral artery (HA), intracardial hemodynamics of the left ventricle in patients with CPH in combination with EAH.Materials and methods: The research is involved 175 patients. Indicators of endothelial function by the level of nitric oxide metabolites, ET - 1, ultrasound intracardiac hemodynamics of the left ventricle of the heart were studied.Results: The patients with CPH in combination with EAH in compensation stage have reduced level of nitric oxide in comparison with patients with CPH without EAH and healthy. To a large extent, reducing of nitric oxide level in decompensation stage indicates about contribution of combined pathology and requires ED correction. On the contrary increased concentration of ET-1 in decompensation stage indicate about combined pathology and demands correction of endothelial cell function.Conclusions: Thus, patients with CPH in combination with EAH are characterized by more pronounced changes in endothelial dysfunction toward an increase in the level of vasoconstrictor factors, a decreasing of vasodilators, which is confirmed by ultrasound diagnosis of HA and reflected in the peculiarities of the intracardiac hemodynamic state.
Databáze: OpenAIRE