RIGHT VENTRICULAR HYPERTROPHY ELECTROCARDIOGRAM INDEX AGREEMENT WITH MAGNETIC RESONANCE IMAGING IN IDIOPATHIC ARTERIAL PULMONARY HYPERTENSION

Pulmonary hypertension is defined by a mean pulmonary artery pressure ≥25 mmHg at rest, measured during right heart catheterization. Ventricular noncompaction is a genetic cardiomyopathy which mostly effects left ventricle. It is related with deterioration of myocardial embryogenesis and commonly together with other cardiac diseases (1). Isolated ventricular non-compaction is characterized by modified morphology of myocardial wall, increased trabeculation in ventricular cavity and deep intertrabecular recesses. A 43-year-old woman presented exercise induced dyspnea and atypical chest pain. She has not any medical history prior. On admission, her 12 lead ECG showed complete righ bundle branch block, her blood pressure was 120/80 and pulse rate 80 per minutes. Transthoracic 2D echocardiogram and magnetic resonance imaging showed dilated and hypertrophied right ventricle with non-compaction of the right ventricular apex. The systolic pulmonary arterial pressure was 80 mmHg on the Doppler echocardiography. The coronary angiography revealed normal coronary arteries. The catheterization was showed pulmonary hypertension, right ventricle non-compaction and negative pulmonary vasoreactivity testing. Ventricular noncompaction, especially right ventricular noncompaction, complicated by severe pulmonary hypertension is exceptional. Only a few isolated right ventricular noncompaction has been reported but inclusion of pulmonary hypertesion cases are rare subsets . Diagnosis of pulmonary hypertension may be a consequence of increased pulmonary venous pressures caused by systolic and diastolic ventricular dysfunction secondary to right ventricular noncompaction. Widespread usage of cardiac magnetic resonance imaging, may enhance visual quality and evaluation of ventricular morphology, probably this will provide prevalance increment and clinical outcome improvements. Early diagnosis would bring better results.

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Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension: 3D analysis of cardiac magnetic resonance imaging

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jey175 ◽

2018 ◽

Vol 20 (6) ◽

pp. 668-676 ◽

Cited By ~ 3

Author(s):

Mark I Attard ◽

Timothy J W Dawes ◽

Antonio de Marvao ◽

Carlo Biffi ◽

Wenzhe Shi ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Pulmonary Hypertension ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Right Ventricular ◽

Cardiac Magnetic Resonance Imaging ◽

Metabolic Pathways ◽

Wall Stress ◽

3D Analysis ◽

Resonance Imaging

Abstract Aims We sought to identify metabolic pathways associated with right ventricular (RV) adaptation to pulmonary hypertension (PH). We evaluated candidate metabolites, previously associated with survival in pulmonary arterial hypertension, and used automated image segmentation and parametric mapping to model their relationship to adverse patterns of remodelling and wall stress. Methods and results In 312 PH subjects (47.1% female, mean age 60.8 ± 15.9 years), of which 182 (50.5% female, mean age 58.6 ± 16.8 years) had metabolomics, we modelled the relationship between the RV phenotype, haemodynamic state, and metabolite levels. Atlas-based segmentation and co-registration of cardiac magnetic resonance imaging was used to create a quantitative 3D model of RV geometry and function—including maps of regional wall stress. Increasing mean pulmonary artery pressure was associated with hypertrophy of the basal free wall (β = 0.29) and reduced relative wall thickness (β = −0.38), indicative of eccentric remodelling. Wall stress was an independent predictor of all-cause mortality (hazard ratio = 1.27, P = 0.04). Six metabolites were significantly associated with elevated wall stress (β = 0.28–0.34) including increased levels of tRNA-specific modified nucleosides and fatty acid acylcarnitines, and decreased levels (β = −0.40) of sulfated androgen. Conclusion Using computational image phenotyping, we identify metabolic profiles, reporting on energy metabolism and cellular stress-response, which are associated with adaptive RV mechanisms to PH.

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