BACKGROUND: Preimplantation left ventricular dyssynchrony is considered a prerequisite for a beneficial response to cardiac resynchronization therapy (CRT). However, electrical dyssynchrony estimated by QRS duration (QRSd) on ECG has not been proven to be an optimal surrogate of mechanical dyssynchrony. We evaluated the correlation of mechanical dyssynchrony with QRSd as measured by signal-averaged electrocardiography (SAECG) in comparison with measurements based on conventional surface ECG and with onscreen measurements based on digital ECG. METHODS: We included 49 consecutive patients with decompensated heart failure (40 men, aged 66.8 +/- 9.5 years), New York Heart Association (NYHA) class II-IV, and LVEF < or = 40%. QRSd was calculated by manual measurement of 12-lead ECG, on-screen measurement of computer-based ECG, and calculation of total ventricular activation time on SAECG. RESULTS: Only 60.4% of the studied patients had QRS > or = 120 ms based on measurements derived by SAECG compared to 69.4% by using on-screen measurement of computer-based ECG and 73.5% based on surface ECG (P=0.041). Interventricular but not intraventricular delay was correlated with QRSd. The correlation of interventricular dyssynchrony with QRSd was stronger when measured by SAECG than by surface ECG (r=0.45, P=0.001 vs r=0.35, P < 0.01). Among patients with ischemic cardiomyopathy, no significant correlation was demonstrated between mechanical dyssynchrony and QRSd. In nonischemic patients, interventricular delay was significantly correlated with QRSd measured by surface ECG (r=0.45, P < 0.05) and SAECG (r=0.46, P < 0.05). CONCLUSIONS: The use of SAECG results in different patient classification in wide QRS complex category as compared to surface ECG. Furthermore, QRSd measured by SAECG is correlated with interventricular but not intraventricular dyssynchrony in heart failure patients.
BACKGROUND: Preimplantation left ventricular dyssynchrony is considered a prerequisite for a beneficial response to cardiac resynchronization therapy (CRT). However, electrical dyssynchrony estimated by QRS duration (QRSd) on ECG has not been proven to be an optimal surrogate of mechanical dyssynchrony. We evaluated the correlation of mechanical dyssynchrony with QRSd as measured by signal-averaged electrocardiography (SAECG) in comparison with measurements based on conventional surface ECG and with onscreen measurements based on digital ECG. METHODS: We included 49 consecutive patients with decompensated heart failure (40 men, aged 66.8 +/- 9.5 years), New York Heart Association (NYHA) class II-IV, and LVEF < or = 40%. QRSd was calculated by manual measurement of 12-lead ECG, on-screen measurement of computer-based ECG, and calculation of total ventricular activation time on SAECG. RESULTS: Only 60.4% of the studied patients had QRS > or = 120 ms based on measurements derived by SAECG compared to 69.4% by using on-screen measurement of computer-based ECG and 73.5% based on surface ECG (P=0.041). Interventricular but not intraventricular delay was correlated with QRSd. The correlation of interventricular dyssynchrony with QRSd was stronger when measured by SAECG than by surface ECG (r=0.45, P=0.001 vs r=0.35, P < 0.01). Among patients with ischemic cardiomyopathy, no significant correlation was demonstrated between mechanical dyssynchrony and QRSd. In nonischemic patients, interventricular delay was significantly correlated with QRSd measured by surface ECG (r=0.45, P < 0.05) and SAECG (r=0.46, P < 0.05). CONCLUSIONS: The use of SAECG results in different patient classification in wide QRS complex category as compared to surface ECG. Furthermore, QRSd measured by SAECG is correlated with interventricular but not intraventricular dyssynchrony in heart failurepatients.
Authors: Jeroen J Bax; Sander G Molhoek; Lieselot van Erven; Paul J Voogd; Soeresh Somer; Eric Boersma; Paul Steendijk; Martin J Schalij; Ernst E Van der Wall Journal: Am J Cardiol Date: 2003-01-01 Impact factor: 2.778
Authors: Cheuk-Man Yu; Jeffrey Wing-Hong Fung; Chi-Kin Chan; Yat-Sun Chan; Qing Zhang; Hong Lin; Gabriel W K Yip; Leo C C Kum; Shun-Ling Kong; Yan Zhang; John E Sanderson Journal: J Cardiovasc Electrophysiol Date: 2004-09
Authors: David D Spragg; Fadi G Akar; Robert H Helm; Richard S Tunin; Gordon F Tomaselli; David A Kass Journal: Cardiovasc Res Date: 2005-07-01 Impact factor: 10.787
Authors: John G F Cleland; Jean-Claude Daubert; Erland Erdmann; Nick Freemantle; Daniel Gras; Lukas Kappenberger; Luigi Tavazzi Journal: N Engl J Med Date: 2005-03-07 Impact factor: 91.245
Authors: Hugues Bader; Stephane Garrigue; Stephane Lafitte; Sylvain Reuter; Pierre Jaïs; Michel Haïssaguerre; Jacques Bonnet; Jacques Clementy; Raymond Roudaut Journal: J Am Coll Cardiol Date: 2004-01-21 Impact factor: 24.094