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Myocardial Deformation in the Systemic Right Ventricle: Strain Imaging Improves Prediction of the Failing Heart
Institution:1. Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands;2. Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands;3. Netherlands Heart Institute, Utrecht, The Netherlands;4. Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands;5. Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands;6. Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands;7. Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;1. Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA;2. The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA;3. Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA;4. Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom;1. Children’s Heart Centre, BC Children’s Hospital, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada;2. Labatt Family Heart Centre, Hospital for Sick Children, Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada;1. Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota;2. Division of Pediatric Cardiology, Mayo Clinic, Rochester, Minnesota
Abstract:BackgroundPredicting heart failure events in patients with a systemic right ventricle (sRV) due to transposition of the great arteries (TGA) is important for timely intensification of follow-up. This study assessed the value of strain compared with currently used parameters as predictor for heart failure–free survival in patients with sRV.MethodsIn participants of a multicentre trial, speckle-tracking echocardiography (STE) was performed to assess global longitudinal strain (GLS), mechanical dispersion (MD), and postsystolic shortening (PSS). Cox regression was used to determine the association of STE parameters with the combined end point of progression of heart failure and death, compared with cardiovascular magnetic resonance (CMR) and computed tomography (CT) derived parameters.ResultsEchocardiograms of 60 patients were analyzed (mean age 34 ± 11 years, 65% male, 35% congenitally corrected TGA). Mean GLS was ?13.5 ± 2.9%, median MD was 49 (interquartile range IQR] 30-76) ms, and 14 patients (23%) had PSS. During a median 8 (IQR 7-9) years, 15 patients (25%) met the end point. GLS, MD, and PSS were all associated with heart failure–free survival in univariable analysis. After correction for age, only GLS (optimal cutoff > ?10.5%) and CMR/CT-derived sRV ejection fraction (optimal cutoff < 30%) remained associated with heart failure–free survival: hazard ratio (HR) 8.27, 95% confidence interval (CI) 2.50-27.41 (P < 0.001), and HR 4.34, 95% CI 1.48-12.74 (P = 0.007), respectively). Combining GLS and ejection fraction improved prediction, with patients with both GLS > ?10.5% and sRV ejection fraction < 30% at highest risk (HR 19.69, 95% CI 4.90-79.13; P < 0.001).ConclusionsThe predictive value of GLS was similar to that of CMR/CT-derived ejection fraction. The combination of GLS and ejection fraction identified patients at highest risk of heart failure and death. Easily available STE parameters can be used to guide follow-up intensity and can be integrated into future risk prediction scores.
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