Perspectives of using pulmonary arterial stiffness indicators to evaluate the prognosis of patients with pulmonary arterial hypertension


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Abstract

Objective: the aim of the study was to characterize the mechanical properties of the pulmonary arterial wall (PA) in patients with pulmonary arterial hypertension (PAH) using magnetic resonance imaging (MRI) of the heart, and to determine their diagnostic and prognostic value. Materials and methods: 57 patients with PAH were examined. The diagnosis of PAH was verified according to the recommendations of the ERS/ESC from 2015. All patients underwent a detailed echocardiographic (ECHO) study, MRI of the heart and right heart catheterization (RHC). To calculate the stiffness of the pulmonary artery wall, the MRI and RHC data were used. Results: We identified a correlation between the functional class of PAH and the parameters of hemodynamic, physical performance, ECHO parameters of the right chambers. There were no differences in the stiffness of the pulmonary artery wall, depending on the functional class of PAH. Among the six stiffness indicators, only pulsation index was associated with the structural and functional parameters of the right ventricle and pulmonary vascular resistance. Conclusion: The MRI pulsation index is the simpleststiffness index of the pulmonary artery wall and the most promising one for evaluating the prognosis of patients with PAH.

About the authors

M A Simakova

Almazov National Medical Research Centre

Email: maria.simakova@gmail.com
к.м.н., с.н.с. НИЛ кардиомиопатий; ORCID: 0000-0001-9478-1941 Санкт-Петербург

A V Ryzhkov

Almazov National Medical Research Centre

врач-рентгенолог, зав. отд-нием магнитно-резонансной томографии Санкт-Петербург

A V Kazymly

Almazov National Medical Research Centre

к.м.н., н. с. НИЛ кардиомиопатий Санкт-Петербург

A V Naimushin

Almazov National Medical Research Centre

к.м.н., зав. отд-нием анестезиологии-реанимации с палатами реанимации и интенсивной терапии №2 Санкт-Петербург

V L Lukinov

Institute of Computational Mathematics and Mathematical Geophysics SB RAS

к.ф.-м.н., ассистент каф. прикладной математики Новосибирск

O M Moiseeva

Almazov National Medical Research Centre

д.м.н., зав. НИО некоронарогенных заболеваний сердца Санкт-Петербург

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