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Universal Algorithm for Diagnosis of Biventricular Capture in Patients with Cardiac Resynchronization Therapy.
- Source :
- Pacing & Clinical Electrophysiology; Aug2014, Vol. 37 Issue 8, p986-993, 8p
- Publication Year :
- 2014
-
Abstract
- Background An accurate and universal method for diagnosis of biventricular (BiV) capture using a standard 12-lead electrocardiogram (ECG) would be useful for assessment of cardiac resynchronization therapy (CRT) patients. Our objective was to develop and validate such an ECG method for BiV capture diagnosis that would be independent of pacing lead positions-a major confounder that significantly influences the morphologies of paced QRS complexes. Methods On the basis of an evaluation of 789 ECGs of 443 patients with heart failure and various right ventricular (RV) and left ventricular (LV) lead positions, the following algorithm was constructed and validated. BiV capture was diagnosed if the QRS in lead I was predominantly negative and either V1 QRS was predominantly positive or V6 QRS was of negative onset and predominantly negative (step 1), or if QRS complex duration was <160 ms (step 2). All other ECGs were classified as loss of LV capture. Results The algorithm showed good accuracy (93%), sensitivity (97%), and specificity (90%) for detection of loss of LV capture. The performance of the algorithm did not differ among apical, midseptal, and outflow tract RV lead positions and various LV lead positions. Conclusion LV capture leaves diagnostic hallmarks in the fused BiV QRS related to different vectors of depolarization and more rapid depolarization of the ventricles. An accurate two-step ECG algorithm for BiV capture diagnosis was developed and validated. This algorithm is universally applicable to all CRT patients, regardless of the positions of the pacing leads. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01478389
- Volume :
- 37
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Pacing & Clinical Electrophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 97427845
- Full Text :
- https://doi.org/10.1111/pace.12384