Article Text

PDF

146 Contribution of Conduction and Repolarisation Abnormalities to the Type i Brugada Pattern: A Study Using Non-Invasive Electrocardiographic Imaging
  1. Kevin Ming Wei Leong1,
  2. Fu Siong Ng1,
  3. Cheng Yao2,
  4. Sian Yates3,
  5. Patricia Taraborrelli3,
  6. Nicholas W Linton3,
  7. Zachary Whinnett1,
  8. David LeFroy3,
  9. D Wyn Davies3,
  10. Phang Boon Lim3,
  11. Nicholas S Peters1,
  12. Sian E Harding1,
  13. Prapa Kanagaratnam3,
  14. Amanda Varnava3
  1. 1NHLI, Imperial College London
  2. 2Medtronic
  3. 3Imperial College Healthcare NHS Trust

Abstract

Introduction In Brugada Syndrome (BrS), the substrate location and underlying electrophysiological mechanisms that contribute to the characteristic ECG pattern are still debated. Using non-invasive electrocardiographical imaging (ECGi), we study whole heart conduction and repolarisation patterns following an ajmaline challenge in individuals with concealed Type I BrS.

Methods 13 participants (mean age 44 ± 12 yrs; 8 males), 11 concealed Type I BrS and 2 controls, underwent an Ajmaline infusion with ECGI and ECG recordings for a research study. ECGi technology reconstructs >1000 electrograms (EGMs) from 252 surface electrode vest and projects this mathematically onto a 3D cardiac image created using a CT scan. Activation time points were determined as the QRS (dP/dtmin) and repolarisation time as (dP/dtmax) for positive T waves and (dp/dtmin) for negative or biphasic T waves, annotated using a custom built semi-automated software off-line. From these data, the local activation recovery interval (ARI), a surrogate of action potential duration, and activation timings across the right ventricle (RV) body, out flow tract (RVOT), and left ventricle (LV) were computed for all participants (Figure 1a). Changes in AT timings and ARI across the RVOT, RV and LV with ajmaline were calculated, and correlated with peak ST elevation (STE) derived from the ECG at the same time point.

Results Following ajmaline administration, the greatest median increase in conduction delay was noted in the RVOT than in the RV or LV (5[3–8] ms vs 1[0–4]ms vs 1[0–2] ms; p < 0.0001) (FigURE 1b). Prolongation of ARI was also observed to have increased the most in the RVOT (68[53–99] ms vs 35[23–46] ms vs 25[9–30] ms; p < 0.01). In the two control patients, no STE was noted with minimal rise in conduction delay or ARI prolongation noted in the RVOT, RV and LV. Only conduction delay in RVOT with ajamaline correlated to amount of STE (Pearson R 0.8, p < 0.001) (Figure 1c), but not in the RV or LV (Pearson 0.3 and 0.2 respectively; p=ns). No significant correlation was also seen between STE and ARI prolongation in the RVOT, RV or LV (Pearson 0.5, 0.4, 0.1 respectively; p=ns).

Conclusion Magnitude of STE in the Type I BrS pattern is attributed to degree of conduction delay in the RVOT and not prolongation in repolarisation time.

Abstract 146 Figure 1

a) Isochronal crowding seen RVOT following ajmailne, and measurement of activation times across region b) Activation time (AT) delay across the different regions. c) Correlation of RVOT conduction delay with ST elevation on ECG. Black denotes control and red denotes Brugada participants

  • Brugada Syndrome
  • ECGi
  • ST elevation

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.