BACKGROUND: Biventricular (BiV) pacing for cardiac resynchronization therapy (CRT) is intended to improve left ventricular function by coordinating systolic activity of the septum and free walls. Optimal resynchronization should be manifested by 12-lead electrocardiogram (ECG) patterns consistent with resynchronized activation, a tall (≥4 mm) R wave in V1, and predominant negative deflection in lead I (RV1SI). We investigated whether the presence or absence of RV1SI predicts heart failure outcomes within 1 year of CRT implant. METHODS: Two independent physicians reviewed the paced ECG of 213 patients post-CRT device implantation with disputes resolved by a third reviewer. The primary end points of all-cause death, unplanned hospitalization, left ventricular assist device implant, or transplant within a 1-year follow-up were blindly adjudicated according to standard definitions. Groups were compared via Kaplan-Meier estimates and Cox proportional hazards models to determine association with event-free survival. RESULTS: Among CRT patients postimplantation, 56 (26.3%) exhibited the RV1SI pattern on ECG. Patients with the RV1SI pattern were significantly less likely to achieve the primary end point as compared to patients without the RV1SI pattern (33.9% vs 52.2%; Log Rank P = 0.022). This difference was driven by a significantly lower risk for unplanned hospitalization among patients with the RV1SI pattern (hazard ratio = 0.510; confidence interval [0.298, 0.876]). The predictive value remained after adjustment for potential confounders (P = 0.004). CONCLUSIONS: The 12-lead ECG postimplantation predicts clinical outcomes of BiV pacing. Such prediction may be useful in predicting the need for alternative or advanced heart failure therapies. Further study into ECG patterns may help to prospectively guide CRT.
BACKGROUND: Biventricular (BiV) pacing for cardiac resynchronization therapy (CRT) is intended to improve left ventricular function by coordinating systolic activity of the septum and free walls. Optimal resynchronization should be manifested by 12-lead electrocardiogram (ECG) patterns consistent with resynchronized activation, a tall (≥4 mm) R wave in V1, and predominant negative deflection in lead I (RV1SI). We investigated whether the presence or absence of RV1SI predicts heart failure outcomes within 1 year of CRT implant. METHODS: Two independent physicians reviewed the paced ECG of 213 patients post-CRT device implantation with disputes resolved by a third reviewer. The primary end points of all-cause death, unplanned hospitalization, left ventricular assist device implant, or transplant within a 1-year follow-up were blindly adjudicated according to standard definitions. Groups were compared via Kaplan-Meier estimates and Cox proportional hazards models to determine association with event-free survival. RESULTS: Among CRT patients postimplantation, 56 (26.3%) exhibited the RV1SI pattern on ECG. Patients with the RV1SI pattern were significantly less likely to achieve the primary end point as compared to patients without the RV1SI pattern (33.9% vs 52.2%; Log Rank P = 0.022). This difference was driven by a significantly lower risk for unplanned hospitalization among patients with the RV1SI pattern (hazard ratio = 0.510; confidence interval [0.298, 0.876]). The predictive value remained after adjustment for potential confounders (P = 0.004). CONCLUSIONS: The 12-lead ECG postimplantation predicts clinical outcomes of BiV pacing. Such prediction may be useful in predicting the need for alternative or advanced heart failure therapies. Further study into ECG patterns may help to prospectively guide CRT.
Authors: Alfred E Buxton; Hugh Calkins; David J Callans; John P DiMarco; John D Fisher; H Leon Greene; David E Haines; David L Hayes; Paul A Heidenreich; John M Miller; Athena Poppas; Eric N Prystowsky; Mark H Schoenfeld; Peter J Zimetbaum; David C Goff; Frederick L Grover; David J Malenka; Eric D Peterson; Martha J Radford; Rita F Redberg Journal: Circulation Date: 2006-11-27 Impact factor: 29.690
Authors: Peter Ammann; Christian Sticherling; Dietrich Kalusche; Jens Eckstein; Alain Bernheim; Beat Schaer; Stefan Osswald Journal: Ann Intern Med Date: 2005-06-21 Impact factor: 25.391
Authors: Larisa G Tereshchenko; Charles A Henrikson; Peter Stempniewicz; Lichy Han; Ronald D Berger Journal: Pacing Clin Electrophysiol Date: 2010-11-22 Impact factor: 1.976
Authors: Borys Surawicz; Rory Childers; Barbara J Deal; Leonard S Gettes; James J Bailey; Anton Gorgels; E William Hancock; Mark Josephson; Paul Kligfield; Jan A Kors; Peter Macfarlane; Jay W Mason; David M Mirvis; Peter Okin; Olle Pahlm; Pentti M Rautaharju; Gerard van Herpen; Galen S Wagner; Hein Wellens Journal: J Am Coll Cardiol Date: 2009-03-17 Impact factor: 24.094
Authors: Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde Journal: J Biomed Inform Date: 2008-09-30 Impact factor: 6.317
Authors: Wojciech Zareba; Helmut Klein; Iwona Cygankiewicz; W Jackson Hall; Scott McNitt; Mary Brown; David Cannom; James P Daubert; Michael Eldar; Michael R Gold; Jeffrey J Goldberger; Ilan Goldenberg; Edgar Lichstein; Heinz Pitschner; Mayer Rashtian; Scott Solomon; Sami Viskin; Paul Wang; Arthur J Moss Journal: Circulation Date: 2011-02-28 Impact factor: 29.690
Authors: Eugene S Chung; Angel R Leon; Luigi Tavazzi; Jing-Ping Sun; Petros Nihoyannopoulos; John Merlino; William T Abraham; Stefano Ghio; Christophe Leclercq; Jeroen J Bax; Cheuk-Man Yu; John Gorcsan; Martin St John Sutton; Johan De Sutter; Jaime Murillo Journal: Circulation Date: 2008-05-05 Impact factor: 29.690
Authors: Michael C Giudici; Darryn W Tigrett; Jacqueline I Carlson; Terri D Lorenz; Deborah L Paul; S Serge Barold Journal: Pacing Clin Electrophysiol Date: 2007-11 Impact factor: 1.976