Key result
The modified Ammann algorithm significantly improved the accuracy of identifying loss of left ventricular capture compared to the original algorithm (78.9% vs. 69.1%, P < 0.001).
Why the study?
Does a modified Ammann algorithm improve the accuracy of diagnosing loss of left ventricular capture in CRT patients compared to the original algorithm?
Observational (n=53)
Does a modified Ammann algorithm improve the accuracy of diagnosing loss of left ventricular capture in CRT patients compared to the original algorithm?
Adding the presence of a Q wave to the Ammann algorithm significantly improves the accuracy of diagnosing loss of left ventricular capture on ECG in CRT patients.
INTRODUCTION: Loss of left ventricular (LV) capture may lead to deterioration of heart failure in patients with cardiac resynchronization therapy (CRT). Recognition of loss of LV capture in time is important in clinical practice. METHODS AND RESULTS: A total of 422 electrocardiograms were acquired and analyzed from 53 CRT patients at 8 different pacing settings (LV only, right ventricle [RV] only, biventricular [BV] pacing with LV preactivation of 60, 40, 20, and 0 milliseconds and RV preactivation of 20 and 40 milliseconds). A modified Ammann algorithm by adding a third step-presence of Q (q, or QS) wave-to the original 2-step Ammann algorithm and a QRS axis shift method were devised to identify the loss of LV capture. The accuracy of modified Ammann algorithm was significantly higher than that of Ammann algorithm (78.9% vs. 69.1%, P < 0.001). The accuracy of the axis shift method was 66.4%, which was significantly lower than the modified Ammann algorithm (P < 0.001) and similar to the original one (P = 0.412). However, in the ECGs with QRS axis shift, 96.8% were correctly classified. LV preactivation or simultaneous BV activation and LV lead positioned in nonposterior or noninferior wall could elevate the accuracies of the modified Ammann algorithm and the QRS axis shift method. CONCLUSIONS: The accuracy of the modified Ammann algorithm is greatly improved. The QRS axis shift method can help diagnose LV capture. The LV preactivation, or simultaneous BV activation and LV lead positioned in nonposterior or noninferior wall can increase the diagnostic power of the modified Ammann algorithm and QRS axis shift method.
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Cao et al. (2014) conducted an observational in Heart failure with cardiac resynchronization therapy (n=53). Modified Ammann algorithm vs. Original Ammann algorithm was evaluated on Accuracy to identify loss of left ventricular capture (p=< 0.001). The modified Ammann algorithm significantly improved the accuracy of identifying loss of left ventricular capture compared to the original algorithm (78.9% vs. 69.1%, P < 0.001).
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