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Left Atrial Stenosis Induced Pulmonary Venous Arterialization and Group 2 Pulmonary Hypertension in Rat
Published on: November 18, 2018
LGE patterns in pulmonary hypertension do not impact overall mortality
Andrew J Swift1, Smitha Rajaram2, Dave Capener2
1Unit of Academic Radiology, University of Sheffield, Sheffield, United Kingdom; INSIGNEO, Institute for In Silico Medicine, University of Sheffield, United Kingdom.
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) can identify pulmonary hypertension. While septal LGE indicates more severe disease, only male sex independently predicted mortality in pulmonary hypertension patients.
Area of Science:
- Cardiology
- Radiology
- Pulmonary Medicine
Background:
- The prognostic significance of late gadolinium enhancement (LGE) in pulmonary hypertension (PH) is not well-established.
- Accurate prognostic markers are crucial for managing PH patients.
Purpose of the Study:
- To evaluate the prognostic value of LGE patterns on cardiac magnetic resonance (CMR) in patients with pulmonary hypertension.
- To determine if LGE features predict mortality in PH.
Main Methods:
- Retrospective analysis of 194 patients undergoing right heart catheterization and CMR with LGE imaging.
- Categorization of LGE patterns: none, right ventricular insertion points (LGE-IP), or LGE-IP with septal involvement (LGE-S).
- Statistical analysis to identify predictors of mortality.
Main Results:
- 162 patients had confirmed pulmonary hypertension; 83% showed LGE.
- LGE-S was associated with higher right ventricular end-diastolic volume index and lower mixed venous oxygen saturation.
- LGE-S, right ventricular dysfunction, and male sex predicted mortality; only male sex remained significant in multivariate analysis.
Conclusions:
- LGE at right ventricular insertion points suggests pulmonary hypertension.
- Extensive septal LGE, while indicating more severe disease, did not independently predict mortality after accounting for other factors.
- Male sex emerged as the sole independent predictor of mortality in this PH cohort.
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