Accurate noninvasive estimation of pulmonary vascular resistance by doppler echocardiography in patients with chronic heart failure

Francesco Scapellato, Pier L. Temporelli, Ermanno Eleuteri, Ugo Corrà, Alessandro Imparato, Pantaleo Giannuzzi

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Abstract

OBJECTIVES: This study was undertaken to explore further the relationship between Doppler-derived parameters of pulmonary flow and pulmonary vascular resistance (PVR) and to determine whether PVR could be accurately estimated noninvasively from Doppler flow velocity measurements in patients with chronic heart failure. BACKGROUND: The assessment of PVR is of great importance in the management of patients with heart failure. However, because of the inconclusive and conflicting data available, Doppler estimation of PVR is still considered unreliable. METHODS: Simultaneous Doppler echocardiographic examination and right heart catheterization were performed in 63 consecutive sinus rhythm heart failure patients with severe left ventricular systolic dysfunction. Hemodynamic PVR was calculated with the standard formula. The following Doppler variables on pulmonary flow and tricuspid regurgitation velocity curve were correlated with PVR: maximal systolic flow velocity, pre-ejection period (PEP), acceleration time (AcT), ejection time, total systolic time (TT), velocity time integral, and right atrium-ventricular gradient. RESULTS: At univariate analysis, all variables except maximal systolic flow velocity and velocity time integral showed a significant, although weak, correlation with PVR. The best correlation found was between AcT and PVR (r = -0.68). By regression analysis, only PEP, AcT and TT entered into the final equation, with a cumulative r = 0.87. When the function (PEP/AcT)/TT was correlated with PVR, the correlation coefficient further improved to 0.96. Of note, this function prospectively predicted PVR (r = 0.94) after effective unloading manipulations. CONCLUSIONS: The analysis of Doppler-derived pulmonary systolic flow is a reliable and accurate tool for estimating and monitoring PVR in patients with chronic heart failure due to left ventricular systolic dysfunction.

Original languageEnglish
Pages (from-to)1813-1819
Number of pages7
JournalJournal of the American College of Cardiology
Volume37
Issue number7
DOIs
Publication statusPublished - Jun 1 2001

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Doppler Echocardiography
Vascular Resistance
Heart Failure
Left Ventricular Dysfunction
Pulmonary Valve Insufficiency
Tricuspid Valve Insufficiency
Lung
Cardiac Catheterization
Heart Atria
Hemodynamics
Regression Analysis

ASJC Scopus subject areas

  • Nursing(all)

Cite this

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title = "Accurate noninvasive estimation of pulmonary vascular resistance by doppler echocardiography in patients with chronic heart failure",
abstract = "OBJECTIVES: This study was undertaken to explore further the relationship between Doppler-derived parameters of pulmonary flow and pulmonary vascular resistance (PVR) and to determine whether PVR could be accurately estimated noninvasively from Doppler flow velocity measurements in patients with chronic heart failure. BACKGROUND: The assessment of PVR is of great importance in the management of patients with heart failure. However, because of the inconclusive and conflicting data available, Doppler estimation of PVR is still considered unreliable. METHODS: Simultaneous Doppler echocardiographic examination and right heart catheterization were performed in 63 consecutive sinus rhythm heart failure patients with severe left ventricular systolic dysfunction. Hemodynamic PVR was calculated with the standard formula. The following Doppler variables on pulmonary flow and tricuspid regurgitation velocity curve were correlated with PVR: maximal systolic flow velocity, pre-ejection period (PEP), acceleration time (AcT), ejection time, total systolic time (TT), velocity time integral, and right atrium-ventricular gradient. RESULTS: At univariate analysis, all variables except maximal systolic flow velocity and velocity time integral showed a significant, although weak, correlation with PVR. The best correlation found was between AcT and PVR (r = -0.68). By regression analysis, only PEP, AcT and TT entered into the final equation, with a cumulative r = 0.87. When the function (PEP/AcT)/TT was correlated with PVR, the correlation coefficient further improved to 0.96. Of note, this function prospectively predicted PVR (r = 0.94) after effective unloading manipulations. CONCLUSIONS: The analysis of Doppler-derived pulmonary systolic flow is a reliable and accurate tool for estimating and monitoring PVR in patients with chronic heart failure due to left ventricular systolic dysfunction.",
author = "Francesco Scapellato and Temporelli, {Pier L.} and Ermanno Eleuteri and Ugo Corr{\`a} and Alessandro Imparato and Pantaleo Giannuzzi",
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T1 - Accurate noninvasive estimation of pulmonary vascular resistance by doppler echocardiography in patients with chronic heart failure

AU - Scapellato, Francesco

AU - Temporelli, Pier L.

AU - Eleuteri, Ermanno

AU - Corrà, Ugo

AU - Imparato, Alessandro

AU - Giannuzzi, Pantaleo

PY - 2001/6/1

Y1 - 2001/6/1

N2 - OBJECTIVES: This study was undertaken to explore further the relationship between Doppler-derived parameters of pulmonary flow and pulmonary vascular resistance (PVR) and to determine whether PVR could be accurately estimated noninvasively from Doppler flow velocity measurements in patients with chronic heart failure. BACKGROUND: The assessment of PVR is of great importance in the management of patients with heart failure. However, because of the inconclusive and conflicting data available, Doppler estimation of PVR is still considered unreliable. METHODS: Simultaneous Doppler echocardiographic examination and right heart catheterization were performed in 63 consecutive sinus rhythm heart failure patients with severe left ventricular systolic dysfunction. Hemodynamic PVR was calculated with the standard formula. The following Doppler variables on pulmonary flow and tricuspid regurgitation velocity curve were correlated with PVR: maximal systolic flow velocity, pre-ejection period (PEP), acceleration time (AcT), ejection time, total systolic time (TT), velocity time integral, and right atrium-ventricular gradient. RESULTS: At univariate analysis, all variables except maximal systolic flow velocity and velocity time integral showed a significant, although weak, correlation with PVR. The best correlation found was between AcT and PVR (r = -0.68). By regression analysis, only PEP, AcT and TT entered into the final equation, with a cumulative r = 0.87. When the function (PEP/AcT)/TT was correlated with PVR, the correlation coefficient further improved to 0.96. Of note, this function prospectively predicted PVR (r = 0.94) after effective unloading manipulations. CONCLUSIONS: The analysis of Doppler-derived pulmonary systolic flow is a reliable and accurate tool for estimating and monitoring PVR in patients with chronic heart failure due to left ventricular systolic dysfunction.

AB - OBJECTIVES: This study was undertaken to explore further the relationship between Doppler-derived parameters of pulmonary flow and pulmonary vascular resistance (PVR) and to determine whether PVR could be accurately estimated noninvasively from Doppler flow velocity measurements in patients with chronic heart failure. BACKGROUND: The assessment of PVR is of great importance in the management of patients with heart failure. However, because of the inconclusive and conflicting data available, Doppler estimation of PVR is still considered unreliable. METHODS: Simultaneous Doppler echocardiographic examination and right heart catheterization were performed in 63 consecutive sinus rhythm heart failure patients with severe left ventricular systolic dysfunction. Hemodynamic PVR was calculated with the standard formula. The following Doppler variables on pulmonary flow and tricuspid regurgitation velocity curve were correlated with PVR: maximal systolic flow velocity, pre-ejection period (PEP), acceleration time (AcT), ejection time, total systolic time (TT), velocity time integral, and right atrium-ventricular gradient. RESULTS: At univariate analysis, all variables except maximal systolic flow velocity and velocity time integral showed a significant, although weak, correlation with PVR. The best correlation found was between AcT and PVR (r = -0.68). By regression analysis, only PEP, AcT and TT entered into the final equation, with a cumulative r = 0.87. When the function (PEP/AcT)/TT was correlated with PVR, the correlation coefficient further improved to 0.96. Of note, this function prospectively predicted PVR (r = 0.94) after effective unloading manipulations. CONCLUSIONS: The analysis of Doppler-derived pulmonary systolic flow is a reliable and accurate tool for estimating and monitoring PVR in patients with chronic heart failure due to left ventricular systolic dysfunction.

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