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Cardiac dyssynchrony, which can be identified by marked delay of ventricular activation between septum and lateral wall or between right and left ventricular contraction has a negative influence on cardiac function and cardiac symptoms in patients with an impaired left ventricular function. Mechanical consequences of dyssynchrony include suboptimal ventricular filling, a reduction in left ventricular dP/dt, a more severe mitral regurgitation, and paradoxical septal wall motion [1]. Ventricular dyssynchrony has been associated with increased mortality in heart failure patients [2].
Frequently biventricular pacing can restore cardiac synchronization, improve cardiac function and decrease symptoms in patients with a left ventricular ejection fraction below 35%, severe symptoms (NYHA class 3 and 4) and a QRS width more than 130 ms [3, 4]. A biventricular pacemaker can restore asynchronous contraction by electrically activating both ventricles in a synchronized manner. This may improve also general ventricular contraction and reduce the degree of mitral regurgitation [5]. In addition, it may improve quality of life, functional class and exercise capacity and reduce hospitalizations and all-cause mortality [6]. Unfortunately a significant number of patients do not respond to cardiac resynchronization therapy with a biventricular pacemaker. It has been shown, that electrocardiographic parameters and left ventricular dimensions alone are not sufficient to predict outcome of cardiac resynchronization therapy.
Today cardiac imaging has become the cornerstone for selection of patients for cardiac resynchronization therapy. Frequently echocardiography with tissue Doppler imaging and strain rate imaging is used quantify asynchrony and select patients for biventricular pacing [7, 8].
Unfortunately echocardiographic imaging and Doppler imaging is sub-optimal in some patients. In this issue of the International Journal of Cardiac Imaging, Nichols et al. show, that regional cardiac function can be quantitated with gated blood pool SPECT [9]. They showed, that in normals, the left and right ventricle contracted nearly synchronously, with a RV–LV apical phase difference of −3 ± 6%/RR. In patients with congestive heart failure, left to right apical phase and apex-to-base contraction times were significantly delayed. Also most right ventricular regional measures for intra-ventricular timing were lengthened and all measures for dispersion and dyssynchrony were significantly greater for patients with congestive heart failure versus normal individuals. These data were highly reproducible. Although the authors did not give us any information about the width of the QRS complex in patients with left ventricular dysfunction, the method looks promising to determine left ventricular dyssynchrony and select patients for biventricular pacing. Further studies are needed to define cut-off values for proper selection of biventricular devices with nuclear imaging and determine regional cardiac function before and after implantation of a cardiac resynchronization device. Also more data have to gained to select patients for biventricular devices and avoid improper selection with nuclear imaging. Which technique, echocardiography or nuclear imaging, will be the most appropriate for a given patient has to be determined yet. However, the time is there for increasing efforts to decrease the number of non-responders of cardiac resynchronization. This because the number of patients needing this device is rapidly increasing and costs can be limited by improving selection of those patients, who really have benefit of cardiac resynchronization therapy.
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Baur, L.H.B. Gated blood pool SPECT: a new clinical tool to detect cardiac dyssynchrony?. Int J Cardiovasc Imaging 24, 727–728 (2008). https://doi.org/10.1007/s10554-008-9313-5
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DOI: https://doi.org/10.1007/s10554-008-9313-5