Speckle-tracking strain echocardiography for detecting cardiac dyssynchrony in a canine model of dyssynchrony and heart failure

Autor: John D. Merlino, Takeshi Arita, George P. Sorescu, Jakob Vinten-Johansen, Randolph P. Martin, Angel R. Leon, Laura S Schmarkey, Dan Sorescu, Brian Schuler
Rok vydání: 2007
Předmět:
Zdroj: American Journal of Physiology-Heart and Circulatory Physiology. 293:H735-H742
ISSN: 1522-1539
0363-6135
DOI: 10.1152/ajpheart.00168.2007
Popis: Multiple echocardiographic criteria have been proposed to diagnose mechanical dyssynchrony in patients with heart failure without being validated against a model of cardiac dyssynchrony with heart failure. This study examines which of these methods can detect dyssynchrony in a canine model. Adult mongrel dogs underwent His-bundle ablation and right-ventricular pacing for 4 wk at either 110 bpm to induce dyssynchrony without heart failure (D group, n = 12) or 170 bpm to induce dyssynchrony with heart failure (DHF group, n = 9). To induce heart failure with narrow QRS, atria were paced at 190 bpm for 4 wk (HF group, n = 8). Tissue Doppler imaging (TDI) and two-dimensional echocardiography were performed at baseline and at end of study. Standard deviation of time to peak systolic velocity (color-coded TDI), time to peak S wave on pulse-wave TDI, time to peak radial and circumferential strain by speckle-tracking analysis ( Err and Ecc, respectively), and septal-to-posterior wall motion delay on M mode were obtained. In D group, only Err and Ecc were increased by dyssynchrony. In contrast, all the echocardiographic parameters of dyssynchrony appeared significantly augmented in the DHF group. Receiver-operator curve analysis showed good sensitivity of Err (90%) and Ecc (100%) to detected dyssynchrony without heart failure and excellent sensitivity and specificity of Err and Ecc to detect dyssynchrony with heart failure. Radial strain by speckle tracking is more accurate than TDI velocity to detect cardiac dyssynchrony in a canine model of dyssynchrony with or without heart failure.
Databáze: OpenAIRE