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06.02.2019 | Original Article | Ausgabe 4/2019

Pediatric Cardiology 4/2019

Non-invasive Hemodynamic CMR Parameters Predicting Maximal Exercise Capacity in 54 Patients with Ebstein’s Anomaly

Pediatric Cardiology > Ausgabe 4/2019
Christian Meierhofer, Andreas Kühn, Jan Müller, Nerejda Shehu, Alfred Hager, Stefan Martinoff, Heiko Stern, Peter Ewert, Manfred Vogt
Wichtige Hinweise
Christian Meierhofer and Andreas Kühn have contributed equally to this manuscript.

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Exercise capacity is a well-defined marker of outcome in congenital heart disease. We analyzed seventeen cardiovascular magnetic resonance (CMR) derived parameters and their correlation to exercise capacity in patients with Ebstein’s anomaly (EA).


Fifty-four surgery free patients, age 5 to 69 years (median 30 years) prospectively underwent CMR examination and cardiopulmonary exercise testing (CPET). The following volume/flow parameters were compared with peak oxygen uptake as the percentage of normal (peakVO2%) using univariate and multivariate analysis: right and left ventricular ejection fraction (RVEF and LVEF), the indexed end-diastolic and end-systolic volumes (RVEDVi, RVESVi, LVEDVi, and LVESVi), the indexed stroke volumes (RVSVi and LVSVi), the total normalized right and left heart volumes; the total right to left heart volume ratio (R/L-ratio). The indexed antegrade flow (ante), indexed net flow (net) as well as cardiac index (CI) in the aorta (Ao) and pulmonary artery (PA) were used.


RVEF (R2 0.2788), indexed flow PA net (R2 0.2330), and PA ante (R2 0.1912) showed the best correlation with peakVO2% (all p < 0.001) in the univariate model. Further significant correlation could also be demonstrated with CI-PA, LVEF, LVSVi, Aorta net, RVESVi, and Aorta ante. Multivariate analysis for RVEF and indexed net flow PA revealed a R2 of 0.4350.


Functional CMR parameters as RVEF and LVEF and flow data of cardiac forward flow correlate to peakVO2%. Evaluation of the indexed net flow in the pulmonary artery and the overall function of the right ventricle best predicts the maximal exercise capacity in patients with EA.

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