Prognostic value of deep echocardiographic phenotyping in pulmonary arterial hypertension.


Journal

ERJ open research
ISSN: 2312-0541
Titre abrégé: ERJ Open Res
Pays: England
ID NLM: 101671641

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 12 08 2023
accepted: 22 10 2023
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 10 1 2024
Statut: epublish

Résumé

A novel approach to derive prognostic information from echocardiography in pulmonary arterial hypertension (PAH) is to define a phenotype of right heart function combining standard echocardiographic parameters which describe right ventricular pump function and systemic venous congestion. We tested the hypothesis that the combination of advanced strain imaging parameters could yield high prognostic accuracy. This was a prospective observational study with a single centre derivation cohort and a second centre validation cohort. The derivation cohort included 49 naive PAH patients who underwent right heart catheterisation and echocardiographic evaluation at baseline and 4-12 months after diagnosis. The validation cohort included 83 prevalent PAH patients who underwent the same examinations at 12 months after diagnosis. We stratified the risk of the derivation cohort according to three models: Model 1, based on haemodynamic parameters; Model 2, based on standard echocardiographic parameters; and Model 3, based on advanced echocardiographic parameters. The median follow-up period was 21 months; the end point of the analysis was clinical worsening. In the derivation cohort, haemodynamic and echocardiographic parameters obtained at diagnosis were not associated with outcome, whereas a significant association was observed at first reassessment. Model 3 yielded a better predictive accuracy (Harrell's C index 0.832) as compared to Model 2 (Harrell's C index 0.667), and to Model 1 (Harrell's C index 0.713). The validation cohort confirmed the accuracy of Model 3. A comprehensive assessment of right heart function using right ventricular strain, right atrial reservoir strain and degree of tricuspid regurgitation provides accurate prognostic information in prevalent PAH patients.

Sections du résumé

Background UNASSIGNED
A novel approach to derive prognostic information from echocardiography in pulmonary arterial hypertension (PAH) is to define a phenotype of right heart function combining standard echocardiographic parameters which describe right ventricular pump function and systemic venous congestion. We tested the hypothesis that the combination of advanced strain imaging parameters could yield high prognostic accuracy.
Methods UNASSIGNED
This was a prospective observational study with a single centre derivation cohort and a second centre validation cohort. The derivation cohort included 49 naive PAH patients who underwent right heart catheterisation and echocardiographic evaluation at baseline and 4-12 months after diagnosis. The validation cohort included 83 prevalent PAH patients who underwent the same examinations at 12 months after diagnosis. We stratified the risk of the derivation cohort according to three models: Model 1, based on haemodynamic parameters; Model 2, based on standard echocardiographic parameters; and Model 3, based on advanced echocardiographic parameters. The median follow-up period was 21 months; the end point of the analysis was clinical worsening.
Results UNASSIGNED
In the derivation cohort, haemodynamic and echocardiographic parameters obtained at diagnosis were not associated with outcome, whereas a significant association was observed at first reassessment. Model 3 yielded a better predictive accuracy (Harrell's C index 0.832) as compared to Model 2 (Harrell's C index 0.667), and to Model 1 (Harrell's C index 0.713). The validation cohort confirmed the accuracy of Model 3.
Conclusions UNASSIGNED
A comprehensive assessment of right heart function using right ventricular strain, right atrial reservoir strain and degree of tricuspid regurgitation provides accurate prognostic information in prevalent PAH patients.

Identifiants

pubmed: 38196894
doi: 10.1183/23120541.00587-2023
pii: 00587-2023
pmc: PMC10772897
pii:
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright ©The authors 2024.

Déclaration de conflit d'intérêts

Conflict of interest: S. Ghio reports personal fees from MSD and Ferrer, outside the submitted work. Conflict of interest: R. Badagliacca reports personal fees from UT, Dompè, Ferrer, Bayer, MSD and AOP Orphan Pharmaceuticals, outside the submitted work. Conflict of interest: R. Benza reports receiving grants from Actelion, Bayer AG, Bellerophon Therapeutics and Eiger Biopharmaceuticals, outside the submitted work. Conflict of interest: D. Vizza reports personal fees from GSK, UT, Dompè, Bayer and MSD, outside the submitted work. Conflict of interest: Other authors have nothing to disclose.

Auteurs

Stefano Ghio (S)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
These authors contributed equally.

Roberto Badagliacca (R)

Department of Clinical, Anesthesiological and Cardiovascular Sciences, I School of Medicine, Sapienza University of Rome, Rome, Italy.
These authors contributed equally.

Mauro Acquaro (M)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
These authors contributed equally.

Domenico Filomena (D)

Department of Clinical, Anesthesiological and Cardiovascular Sciences, I School of Medicine, Sapienza University of Rome, Rome, Italy.

Tommaso Recchioni (T)

Department of Clinical, Anesthesiological and Cardiovascular Sciences, I School of Medicine, Sapienza University of Rome, Rome, Italy.

Silvia Papa (S)

Department of Clinical, Anesthesiological and Cardiovascular Sciences, I School of Medicine, Sapienza University of Rome, Rome, Italy.

Davide Colombo (D)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Valentina Ditali (V)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Chiara Carrozzi (C)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Alessandra Greco (A)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Annalisa Turco (A)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Federico Breviario (F)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Raymond Benza (R)

Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Dario Vizza (D)

Department of Clinical, Anesthesiological and Cardiovascular Sciences, I School of Medicine, Sapienza University of Rome, Rome, Italy.

Laura Scelsi (L)

Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Classifications MeSH