Prognostic Value of Echocardiographic Coupling Metrics in Systemic Sclerosis-Associated Pulmonary Vascular Disease.

mortality pulmonary hypertension right atrium right ventricle systemic sclerosis

Journal

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
ISSN: 1097-6795
Titre abrégé: J Am Soc Echocardiogr
Pays: United States
ID NLM: 8801388

Informations de publication

Date de publication:
01 Oct 2024
Historique:
received: 06 06 2024
revised: 19 09 2024
accepted: 19 09 2024
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 3 10 2024
Statut: aheadofprint

Résumé

Ineffective right ventricular (RV) adaptation to increasing pulmonary arterial (PA) afterload in pulmonary vascular disease (PVD) significantly contributes to morbidity and mortality. PVD in systemic sclerosis (SSc) arises through various mechanisms, yet detecting abnormal contractile response remains challenging. Here, we examine whether echocardiographic RV-PA coupling metrics correlate with invasive pressure-volume (PV) loops, enhancing the prediction of adverse clinical outcomes in SSc-PVD patients. Prospectively enrolled patients with SSc-PVD with paired echocardiogram and PV loops were included. Linear regression and receiver-operating curve (ROC) analysis were used to assess the relationship between tricuspid annular plane systolic excursion (TAPSE)/PA systolic pressure (PASP), fractional area change (FAC)/PASP, tissue Doppler velocity (TDI S')/PASP, RV free wall strain (RVFWS)/PASP and coupling thresholds defined by end-systolic to end-arterial elastance (Ees/Ea), obtained by the multi-beat method. The contribution of right atrial strain (RAS) to RV-PA coupling parameters was also investigated. Kaplan-Meier analysis was used to identify the relationship between coupling ratios and composite outcomes including clinical worsening, lung transplant, and death. 42 patients with SSc were studied with mean age 59 ± 12 years, 91% female and varying degrees of PVD: mPAP 29.5 ± 12.8 mmHg, PVR 4.7 ± 4.2 WU, PCWP 10.3 ± 4.1 mmHg. Echocardiographic coupling metrics including TAPSE/PASP, FAC/PASP, TDI S'/PASP, RVFWS Echocardiographic RV-PA coupling ratios strongly correlate with invasive Ees/Ea and predict adverse clinical outcomes in SSc patients across the spectrum of PVD. Further, we demonstrate how RAS impacts RV performance. These findings may refine risk stratification and prognostication in this at-risk cohort.

Sections du résumé

BACKGROUND BACKGROUND
Ineffective right ventricular (RV) adaptation to increasing pulmonary arterial (PA) afterload in pulmonary vascular disease (PVD) significantly contributes to morbidity and mortality. PVD in systemic sclerosis (SSc) arises through various mechanisms, yet detecting abnormal contractile response remains challenging. Here, we examine whether echocardiographic RV-PA coupling metrics correlate with invasive pressure-volume (PV) loops, enhancing the prediction of adverse clinical outcomes in SSc-PVD patients.
METHODS METHODS
Prospectively enrolled patients with SSc-PVD with paired echocardiogram and PV loops were included. Linear regression and receiver-operating curve (ROC) analysis were used to assess the relationship between tricuspid annular plane systolic excursion (TAPSE)/PA systolic pressure (PASP), fractional area change (FAC)/PASP, tissue Doppler velocity (TDI S')/PASP, RV free wall strain (RVFWS)/PASP and coupling thresholds defined by end-systolic to end-arterial elastance (Ees/Ea), obtained by the multi-beat method. The contribution of right atrial strain (RAS) to RV-PA coupling parameters was also investigated. Kaplan-Meier analysis was used to identify the relationship between coupling ratios and composite outcomes including clinical worsening, lung transplant, and death.
RESULTS RESULTS
42 patients with SSc were studied with mean age 59 ± 12 years, 91% female and varying degrees of PVD: mPAP 29.5 ± 12.8 mmHg, PVR 4.7 ± 4.2 WU, PCWP 10.3 ± 4.1 mmHg. Echocardiographic coupling metrics including TAPSE/PASP, FAC/PASP, TDI S'/PASP, RVFWS
CONCLUSION CONCLUSIONS
Echocardiographic RV-PA coupling ratios strongly correlate with invasive Ees/Ea and predict adverse clinical outcomes in SSc patients across the spectrum of PVD. Further, we demonstrate how RAS impacts RV performance. These findings may refine risk stratification and prognostication in this at-risk cohort.

Identifiants

pubmed: 39362283
pii: S0894-7317(24)00468-1
doi: 10.1016/j.echo.2024.09.010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Abhishek Gami (A)

Johns Hopkins University School of Medicine, Baltimore, MD.

Vivek P Jani (VP)

Johns Hopkins University School of Medicine, Baltimore, MD.

Hoda Mombeini (H)

Johns Hopkins University Division of Cardiology, Baltimore, MD.

Ryan Osgueritchian (R)

Johns Hopkins University Division of Cardiology, Baltimore, MD.

Ilton M Cubero Salazar (IM)

Johns Hopkins University Division of Cardiology, Baltimore, MD.

Matthew Kauffman (M)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Catherine E Simpson (CE)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Rachel L Damico (RL)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Todd M Kolb (TM)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Ami A Shah (AA)

Johns Hopkins University Division of Rheumatology, Baltimore, MD.

Stephen C Mathai (SC)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Ryan J Tedford (RJ)

Medical University of South Carolina, Division of Cardiology, Department of Medicine, Charleston, SC.

Steven Hsu (S)

Johns Hopkins University Division of Cardiology, Baltimore, MD.

Paul M Hassoun (PM)

Johns Hopkins University Division of Pulmonary and Critical Care Medicine, Baltimore, MD.

Monica Mukherjee (M)

Johns Hopkins University Division of Cardiology, Baltimore, MD. Electronic address: mmukher2@jhu.edu.

Classifications MeSH