A novel echocardiographic method for estimation of pulmonary artery wedge pressure and pulmonary vascular resistance.

Echocardiography Pulmonary artery wedge pressure Pulmonary hypertension Pulmonary vascular resistance Right heart catheterization

Journal

ESC heart failure
ISSN: 2055-5822
Titre abrégé: ESC Heart Fail
Pays: England
ID NLM: 101669191

Informations de publication

Date de publication:
04 2021
Historique:
revised: 26 10 2020
received: 13 08 2020
accepted: 03 12 2020
pubmed: 11 2 2021
medline: 2 7 2021
entrez: 10 2 2021
Statut: ppublish

Résumé

This study aimed to evaluate a novel echocardiographic algorithm for quantitative estimation of pulmonary artery wedge pressure (PAWP) and pulmonary vascular resistance (PVR) in patients with heart failure and pulmonary hypertension (PH) scheduled to right heart catheterization (RHC). In this monocentric study, 795 consecutive patients (427 men; age 68.4 ± 12.1 years) undergoing echocardiography and RHC were evaluated. Multiple regression analysis was performed to identify echocardiographic predictors of PAWP and PVR measured by RHC in the derivation group (the first 200 patients). The diagnostic accuracy of the model was then tested in the validation group (the remaining 595 patients). PH was confirmed by RHC in 507 (63.8%) patients, with 192 (24.2%) cases of precapillary PH, 248 (31.2%) of postcapillary PH, and 67 (8.4%) of combined PH. At regression analysis, tricuspid regurgitation maximal velocity, mitral E/e' ratio, left ventricular ejection fraction, right ventricular fractional area change, inferior vena cava diameter, and left atrial volume index were included in the model (R = 0.8, P < 0.001). The model showed a high diagnostic accuracy in estimating elevated PAWP (area under the receiver operating characteristic curve = 0.97, 92% sensitivity, and 93% specificity, P < 0.001) and PVR (area under the receiver operating characteristic curve = 0.96, 89% sensitivity, and 92% specificity, P < 0.001), outperforming 2016 American Society of Echocardiography/European Association of Cardiovascular Imaging recommendations (P < 0.001) and Abbas' equation (P < 0.001). Bland-Altman analysis showed satisfactory limits of agreement between echocardiography and RHC for PAWP (bias 0.7, 95% confidence interval -7.3 to 8.7) and PVR (bias -0.1, 95% confidence interval -2.2 to 1.9 Wood units), without indeterminate cases. A novel quantitative echocardiographic approach for the estimation of PAWP and PVR has high diagnostic accuracy in patients with heart failure and PH.

Identifiants

pubmed: 33566429
doi: 10.1002/ehf2.13183
pmc: PMC8006655
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1216-1229

Informations de copyright

© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

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Auteurs

Vladislav Chubuchny (V)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Nicola Riccardo Pugliese (NR)

Cardiothoracic and Vascular Department, University Hospital of Pisa, Pisa, Italy.

Claudia Taddei (C)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Elisa Poggianti (E)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Valentina Spini (V)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Andrea Barison (A)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
Institute of Life Sciences, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, Pisa, 56127, Italy.

Bruno Formichi (B)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
CNR Institute of Clinical Physiology, Pisa, Italy.

Edoardo Airò (E)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Carolina Bauleo (C)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Renato Prediletto (R)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
CNR Institute of Clinical Physiology, Pisa, Italy.

Luigi Emilio Pastormerlo (LE)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Michele Coceani (M)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Marco Ciardetti (M)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Christina Petersen (C)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Emilio Pasanisi (E)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.

Carlo Lombardi (C)

Institute of Cardiology, ASST Spedali Civili di Brescia and Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.

Michele Emdin (M)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
Institute of Life Sciences, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, Pisa, 56127, Italy.

Alberto Giannoni (A)

Cardiology and Cardiovascular Medicine Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
Institute of Life Sciences, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, Pisa, 56127, Italy.

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