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Updated: Jan 31, 2026

Left Atrial Stenosis Induced Pulmonary Venous Arterialization and Group 2 Pulmonary Hypertension in Rat
Published on: November 18, 2018
Risk stratifying systemic sclerosis-related pulmonary hypertension by left atrial strain.
Justin K Lui1, Matthew Cozzolino2, Morgan Winburn2
1The Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Left atrial strain (LA GLS) clustering identified distinct patient groups in systemic sclerosis-related pulmonary hypertension (SSc-PH). Cluster 3, with the lowest contractile strain, showed significantly shorter survival, indicating its potential for risk stratification.
Area of Science:
- Cardiology
- Rheumatology
- Pulmonary Medicine
Background:
- Systemic sclerosis-associated pulmonary hypertension (SSc-PH) poses significant mortality risks.
- Left ventricular (LV) diastolic function is crucial in SSc-PH prognosis.
- Left atrial (LA) strain is a sensitive indicator of diastolic dysfunction.
Purpose of the Study:
- To investigate the utility of LA global longitudinal strain (GLS) components in risk stratifying SSc-PH patients.
- To explore the association between distinct LA strain patterns and all-cause mortality.
Main Methods:
- Retrospective analysis of 124 SSc-PH patients confirmed by right heart catheterization.
- Quantification and K-means clustering of LA GLS components (reservoir, conduit, contractile).
- Kaplan-Meier and Cox proportional hazards models to assess survival outcomes.
Main Results:
- Three LA GLS clusters were identified, differing in median LA conduit and contractile strain.
- Significant survival differences were observed between clusters (log-rank p=0.005).
- Cluster 3, characterized by the lowest contractile strain, had the shortest median survival (48.4 months) and a higher adjusted hazard ratio for mortality (2.57).
Conclusions:
- LA GLS clustering provides valuable prognostic information in SSc-PH.
- The lowest LA contractile strain is associated with significantly reduced survival.
- LA GLS offers a potential tool for enhanced risk stratification in SSc-PH management.
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