Title: Assessment of apical rocking: a new, integrative approach for selection of candidates for cardiac resynchronization therapy
Authors: Szulik, Mariola ×
Tillekaerts, Monique
Vangeel, Vanessa
Ganame, Javier
Willems, Rik
Lenarczyk, Radoslaw
Rademakers, Frank
Kalarus, Zbigniew
Kukulski, Tomasz
Voigt, Jens-Uwe #
Issue Date: Dec-2010
Publisher: W.B. Saunders Co.
Series Title: European Journal of Echocardiography vol:11 issue:10 pages:863-869
Abstract: AIMS: Current attempts of improving patient selection in cardiac resynchronization therapy (CRT) are mainly based on echocardiographic timing of myocardial velocity peaks. Regional myocardial function is neglected. Apical transverse motion (ATM) is a new parameter to quantify apical rocking as an integrative surrogate of both temporal and functional inhomogeneities within the left ventricle. In this study, we tested the predictive value of apical rocking for response to CRT. METHODS AND RESULTS: Sixty-nine patients eligible for CRT were assessed by echocardiography before and 11 ± 5 months after pacemaker implantation. Response was defined as left ventricular (LV) end-systolic volume decrease >15%. Rocking was quantified (ATM) and visually assessed by four blinded readers. Predictive value for CRT response of both assessments was compared with conventional dyssynchrony parameters. ATM in the four-chamber view plane differentiated best between responders and non-responders (2.2 ± 1.5 vs. 0.06 ± 1.9 mm, P< 0.0001). Quantified ATM predicted reverse remodelling with a sensitivity, specificity, and accuracy of 75, 96, and 83% whereas visual rocking assessment resulted in 89, 75, and 83%, respectively. The accuracy of conventional parameters was significantly lower. CONCLUSION: Apical rocking is a new marker to assess LV dyssynchrony and predict CRT response. It is superior to conventional parameters. Even its simple visual assessment may be sufficiently accurate in the clinical setting.
ISSN: 1525-2167
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Cardiovascular Imaging and Dynamics
× corresponding author
# (joint) last author

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