ArticleESC heart failure2024
Optimal combination of right ventricular functional parameters using echocardiography in pulmonary arterial hypertension.
Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Correlation of Echocardiographic Right Ventricular Functional Parameters with CMR-Derived Right Ventricular Ejection Fraction in Pulmonary Hypertension: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2026Review
- Right Ventricular Myocardial Work by Echocardiography: A Scoping Review of Methodology, Validation, and Clinical Applications.Echocardiography (Mount Kisco, N.Y.) · 2026Article
- Strain imaging in heart failure: from early detection to prognostic assessment.ESC heart failure · 2026Review
- Combination of TAPSE/sPAP Ratio and Myocardial Work to Assess Prognosis in Patients with Pulmonary Arterial Hypertension.Journal of cardiovascular development and disease · 2026Article
- Article
- Advanced right ventricular evaluation in pulmonary hypertension: the role of 3D echocardiography and strain analysis.European heart journal. Imaging methods and practice · 2026Article
- Four decades of heart-lung transplantation: Milestones and outcomes in advanced cardiorespiratory failure.ESC heart failure · 2025Article
- Prognostic Value of the TAPSE/PASP Ratio in Lung Transplant Candidates With Advanced Interstitial Lung Disease.Pulmonary circulation · 2025Article
- Optimal combination of right ventricular functional parameters using echocardiography in pulmonary arterial hypertension.ESC heart failure · 2024Article
- Load Dependency of Ventricular Pump Function: Impact on the Non-Invasive Evaluation of the Severity and the Prognostic Relevance of Myocardial Dysfunction.Reviews in cardiovascular medicine · 2024Review
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
aimsNovel echocardiographic parameters of right ventricular (RV) function, including speckle-tracking-derived, three-dimensional, and RV-pulmonary artery coupling parameters, have emerged for the evaluation of pulmonary arterial hypertension (PAH). The relative role of these parameters in the risk stratification of PAH patients is unclear. We compared the performance of multiple RV parameters and sought to establish an optimal model for identifying the risk profile of patients with PAH. METHODS AND
resultsComprehensive risk assessments were performed for 70 patients with PAH. The risk profile of every patient was determined based on the guideline recommendations. Conventional parameters, including fractional area change (FAC) and tricuspid annular plane systolic excursion (TAPSE), novel speckle-tracking-derived RV longitudinal strain (RVLS), and three-dimensional RV ejection fraction (3D-RVEF), were used to evaluate RV function. Pressure-strain loops were measured for the assessment of RV myocardial work, including RV global wasted work (RVGWW). RV-pulmonary artery coupling was assessed by indexing RV parameters to the estimated pulmonary artery systolic pressure (PASP). The median age was 34 (30-43) years, and 62 (88.6%) patients were female. Forty-five patients were classified into the low-risk group, while 25 patients were classified into the intermediate-high-risk group. Most RV parameters could be used to determine the risk profile and exhibited significantly improved diagnostic performance after indexing to PASP (including FAC/PASP, TAPSE/PASP, and 3D-RVEF/PASP). RVLS/PASP showed the best performance, with an area under the curve of 0.895. In multivariate analysis (Model 1), only RVGWW (>90.5 mmHg%), RVLS (> -16.7%), and TAPSE (<17.5 mm) remained significant (all P < 0.05). Model 1 outperformed every single RV parameter, with a significantly larger area under the curve (all P < 0.05). With PASP indexing in Model 2, RVLS/PASP > -0.275 [odds ratio (OR) 20.63, 95% confidence interval (CI) 4.62-92.11, P < 0.001] and RVGWW > 90.5 mmHg% (OR 6.17, 95% CI 1.37-27.76, P = 0.018) independently identified a higher risk profile. The addition of RVGWW to two models determined incremental value in identification (continuous net reclassification improvement 1.058, 95% CI 0.639-1.477, P < 0.001).
conclusionsThe combination models for RV function outperformed any single parameter in identifying the risk profile of patients with PAH. Comprehensive assessment of RV-pulmonary artery coupling using multiparametric methods is clinically meaningful in patients with PAH.
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