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Hypertension is the leading modifiable risk factor for global cardiovascular disease, responsible for an estimated 10.8 million deaths and more than 200 million disability-adjusted life years annually.1 Despite the availability of effective pharmacological and lifestyle interventions, prevalence continues to rise, particularly in low- and middle-income countries (LMICs), where over three-quarters of all cases now occur.2 The condition’s […]

33/Left ventricular pacing vector optimisation in an ideally deployed quadripolar lead in cardiac resynchronisation therapy: effect of optimising QRS area

O Okafor (Presenting Author) – Aston University, Birmingham, UK; F Umar – University of Birmingham, Birmingham, UK; P M van Dam – University Medical Centre, Utrecht, The Netherlands; J Walton – Queen Elizabeth Hospital, Birmingham, UK; B Stegemann – Aston University, Birmingham, UK; A Zegard – Aston University, Birmingham, UK; M Lencioni – Queen Elizabeth Hospital, Birmingham, UK; J de Bono – Queen Elizabeth Hospital, Birmingham, UK; H Marshall – Queen Elizabeth Hospital, Birmingham, UK; F Leyva – Queen Elizabeth Hospital, Birmingham, UK
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Published Online: Oct 4th 2008 European Journal of Arrhythmia & Electrophysiology. 2019;5(Suppl. 1):abstr33
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Article

Background: QRS area (QRSarea), derived from vectorcardiography (VCG) is a marker of delayed left ventricular (LV) activation.

Objective: To determine whether changes in QRS area (ΔQRSarea) in LV lead vectors of a quadripolar lead (QUAD) relates to the acute haemodynamic response (AHR) to CRT.

Methods: In this acute study, we performed 12-lead ECGs and measured LV pressure (LV dP/dtmax) in 25 CRT recipients (age: 69 ± [9.1] years, mean ± [SD], QRS: 150.8 ± 22.0 ms, LBBB in 19 [79.2%]) in whom a QUAD was deployed in a posterolateral position. VCGs were synthesized from digital ECGs using the Kors matrix. An AHR was defined as a ≥10% ΔLV dP/dtmax.

Results: Intraindividually, the change in LV dP/dtmax across different LV pacing configurations of a QUAD (in relation to AAI pacing) ranged from a minimum of 0.95% to a maximum of 20.5% (7.3 ± 5.8%, mean ± SD). Intraindividually, the ΔQRSarea ranged from 2.8 to 75.7 μVs (27.5 ± 21.2 μVs, mean range ± SD). In regression analyses, ΔQRSarea (area under the curve [AUC] 0.87, 95% confidence intervals [CI]: 0.78–0.97, p<0.0001) was a better predictor of AHR than ΔQRS duration (AUC 0.79, 95% CI: 0.7–0.91, p<0.0001). Using a reduction in QRSarea of 47 μVs, ΔQRSarea predicted AHR with a sensitivity of 87.5% and a specificity of 79.3%. In 19/24 (79%) patients, the LV pacing configuration providing the greatest ΔQRSarea also provided the best AHR (p=0.009).

Conclusion: Changing the LV pacing vector on an ideally deployed QUAD lead is associated with varying AHR to CRT. ΔQRSarea may be useful for LV pacing vector optimization in CRT recipients with a QUAD lead.

 

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