Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease

Abstract In this prospective pilot study, we aimed to evaluate the ability of cardiac magnetic resonance imaging (CMR) parameters of right ventricular function and pulmonary artery stiffness to identify pulmonary hypertension (PH), predict major adverse cardiovascular events (MACEs) in patients with...

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Autores principales: Lucia Agoston-Coldea, Silvia Lupu, Teodora Mocan
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/0bc9f92421864824a1adc105790508fb
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spelling oai:doaj.org-article:0bc9f92421864824a1adc105790508fb2021-12-02T15:08:18ZPulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease10.1038/s41598-018-32784-62045-2322https://doaj.org/article/0bc9f92421864824a1adc105790508fb2018-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-32784-6https://doaj.org/toc/2045-2322Abstract In this prospective pilot study, we aimed to evaluate the ability of cardiac magnetic resonance imaging (CMR) parameters of right ventricular function and pulmonary artery stiffness to identify pulmonary hypertension (PH), predict major adverse cardiovascular events (MACEs) in patients with secondary PH due to chronic obstructive pulmonary disease (COPD), and to estimate a prospective sample size necessary for a reliable power of the study. Thirty consecutive patients with COPD and suspected secondary PH were assessed by clinical examination, the six minute walk test, echocardiography, right heart catheterization and CMR, and followed–up for a mean period of 16 months to identify MACEs (cardiac death, ventricular tachyarrhythmia, and heart failure). Among CMR parameters of pulmonary artery stiffness, pulse wave velocity (PWV) yielded the best sensitivity (93.5%) and specificity (92.8%) for identifying PH, as diagnosed by cardiac catheterization. Moreover, PWV proved to be a valuable predictor of MACEs (HR = 4.75, 95% CI 1.00 to 22.59, p = 0.03). In conclusion, PWV by phase-contrast CMR can accurately identify PH in patients with COPD and may help stratify prognosis.Lucia Agoston-ColdeaSilvia LupuTeodora MocanNature PortfolioarticlePA StiffnessMajor Adverse Cardiovascular Events (MACEs)Chronic Obstructive Pulmonary DiseaseRight Heart Catheterization (RHC)Pulse Wave Velocity (PWV)MedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution DOAJ
collection DOAJ
language EN
topic PA Stiffness
Major Adverse Cardiovascular Events (MACEs)
Chronic Obstructive Pulmonary Disease
Right Heart Catheterization (RHC)
Pulse Wave Velocity (PWV)
Medicine
R
Science
Q
spellingShingle PA Stiffness
Major Adverse Cardiovascular Events (MACEs)
Chronic Obstructive Pulmonary Disease
Right Heart Catheterization (RHC)
Pulse Wave Velocity (PWV)
Medicine
R
Science
Q
Lucia Agoston-Coldea
Silvia Lupu
Teodora Mocan
Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
description Abstract In this prospective pilot study, we aimed to evaluate the ability of cardiac magnetic resonance imaging (CMR) parameters of right ventricular function and pulmonary artery stiffness to identify pulmonary hypertension (PH), predict major adverse cardiovascular events (MACEs) in patients with secondary PH due to chronic obstructive pulmonary disease (COPD), and to estimate a prospective sample size necessary for a reliable power of the study. Thirty consecutive patients with COPD and suspected secondary PH were assessed by clinical examination, the six minute walk test, echocardiography, right heart catheterization and CMR, and followed–up for a mean period of 16 months to identify MACEs (cardiac death, ventricular tachyarrhythmia, and heart failure). Among CMR parameters of pulmonary artery stiffness, pulse wave velocity (PWV) yielded the best sensitivity (93.5%) and specificity (92.8%) for identifying PH, as diagnosed by cardiac catheterization. Moreover, PWV proved to be a valuable predictor of MACEs (HR = 4.75, 95% CI 1.00 to 22.59, p = 0.03). In conclusion, PWV by phase-contrast CMR can accurately identify PH in patients with COPD and may help stratify prognosis.
format article
author Lucia Agoston-Coldea
Silvia Lupu
Teodora Mocan
author_facet Lucia Agoston-Coldea
Silvia Lupu
Teodora Mocan
author_sort Lucia Agoston-Coldea
title Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
title_short Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
title_full Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
title_fullStr Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
title_full_unstemmed Pulmonary Artery Stiffness by Cardiac Magnetic Resonance Imaging Predicts Major Adverse Cardiovascular Events in patients with Chronic Obstructive Pulmonary Disease
title_sort pulmonary artery stiffness by cardiac magnetic resonance imaging predicts major adverse cardiovascular events in patients with chronic obstructive pulmonary disease
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/0bc9f92421864824a1adc105790508fb
work_keys_str_mv AT luciaagostoncoldea pulmonaryarterystiffnessbycardiacmagneticresonanceimagingpredictsmajoradversecardiovasculareventsinpatientswithchronicobstructivepulmonarydisease
AT silvialupu pulmonaryarterystiffnessbycardiacmagneticresonanceimagingpredictsmajoradversecardiovasculareventsinpatientswithchronicobstructivepulmonarydisease
AT teodoramocan pulmonaryarterystiffnessbycardiacmagneticresonanceimagingpredictsmajoradversecardiovasculareventsinpatientswithchronicobstructivepulmonarydisease
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