The HF-CGM study: An analysis of cardiogoniometric axes in patients with cardiac resynchronization therapy

Clark, Andrew L.; Hoye, Angela; Beddoes, Gowan; Nikolaidou, Theodora; Brown, Oliver I.

Abstract

Goal: The HF-CGM is a proof-of-principle study to investigate whether cardiogoniometry (CGM), a three-dimensional electrocardiographic method, can differentiate between pacing modes in patients with cardiac resynchronization therapy (CRT). Methods: At a tertiary cardiology center, CGM recordings were performed using four pacing modes: no pacing; right ventricular (RV) pacing; left ventricular (LV) pacing, and biventricular (BIV) pacing. Three orthogonal CGM planes orientated to the long axis (XY), the frontal plane (YZ), and the short axis (XZ) of the heart were constructed, and the direction of the QRS-axis was calculated for each pacing mode in each plane. During BIV pacing, the direction of CGM QRS-axis was compared between patients with optimal and nonoptimal 12-lead pacing variables. Results: Twenty-two participants (aged 71.5 ± 10.8; 77.3% male, LVEF 29 ± 7%) were consecutively recruited. Only QRS-axis measured in the XY plane could significantly distinguish between all three pacing modes versus no pacing. Mean QRS-axis in the XY plane with pacing off and during RV pacing was leftward and basal; LV pacing was apical; and BIV pacing was rightward and basal. There was a statistically significant difference in the direction of the QRS-axis between patients with optimal versus nonoptimal paced QRS morphology in the XY plane (rightward and basal versus inconsistent). Significance : CGM recorded in the XY plane can accurately detect differences between ventricular pacing sites. It may also be able to identify patients with a CRT device in situ who have optimal response.

Citation

Clark, A. L., Hoye, A., Beddoes, G., Nikolaidou, T., & Brown, O. I. (2018). The HF-CGM study: An analysis of cardiogoniometric axes in patients with cardiac resynchronization therapy. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 65(8), 1711-1716. https://doi.org/10.1109/TBME.2017.2769060

• Journal Article Type: Article
• Acceptance Date: Oct 10, 2017
• Online Publication Date: Nov 2, 2017
• Publication Date: 2018-08
• Deposit Date: Jul 3, 2018
• Publicly Available Date: Nov 3, 2018
• Journal: IEEE Transactions on Biomedical Engineering
• Print ISSN: 0018-9294
• Electronic ISSN: 1558-2531
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 65
• Issue: 8
• Pages: 1711-1716
• DOI: https://doi.org/10.1109/TBME.2017.2769060
• Public URL: https://hull-repository.worktribe.com/output/908774
• Publisher URL: https://ieeexplore.ieee.org/document/8094281