Characterisation of Conduction System Activation in the Post-Infarct Ventricle using Ripple Mapping.

3D mapping Fascicular Fascicular potentials LV conduction system Left Bundle Branch Block Purkinje system Split potentials

Journal

Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317

Informations de publication

Date de publication:
27 Jan 2024
Historique:
received: 11 11 2023
revised: 14 01 2024
accepted: 18 01 2024
medline: 30 1 2024
pubmed: 30 1 2024
entrez: 29 1 2024
Statut: aheadofprint

Résumé

Three dimensional (3D) mapping of the ventricular conduction system is challenging. We used Ripple Mapping to distinguish conduction system activation to that of adjacent myocardium, to characterise the conduction system in the post-infarct LV. High-density mapping (PentaRay, CARTO) was performed during normal rhythm in patients undergoing VT ablation. Ripple Maps were viewed from the end of the P wave to QRS onset in 1ms increments. Clusters of >3 Ripple bars were interrogated for the presence of Purkinje potentials, which were tagged on the 3D geometry. Repeating this process allowed conduction system delineation. Maps were reviewed in 24pts (mean 3112 ± 613 points). There were 150.9 ± 24.5 Purkinje potentials per map, at the location of the left posterior fascicle (LPF) in 22pts (92%) and at the location of the left anterior fascicle (LAF) in 15pts (63%). The LAF was shorter (41.4 vs 68.8mm, p= 0.0005) activating for a shorter duration (40.6 vs 64.9ms, p=0.002). 14/24pts had LBBB with 11/14 (78%) having Purkinje potential associated breakout. There were fewer breakouts from the conduction system during LBBB (1.8 vs 3.4 (1.6 ± 0.6, p=0.039)) and an inverse correlation between breakout sites and QRS duration (p=0.0035). We applied Ripple Mapping to present a detailed electroanatomic characterisation of the conduction system in the post-infarct LV. Patients with broader QRS had fewer LV breakout sites from the conduction system. However, there was 3D mapping evidence of LV breakout from an intact conduction system in the majority of patients with LBBB.

Sections du résumé

BACKGROUND BACKGROUND
Three dimensional (3D) mapping of the ventricular conduction system is challenging.
OBJECTIVES OBJECTIVE
We used Ripple Mapping to distinguish conduction system activation to that of adjacent myocardium, to characterise the conduction system in the post-infarct LV.
METHODS METHODS
High-density mapping (PentaRay, CARTO) was performed during normal rhythm in patients undergoing VT ablation. Ripple Maps were viewed from the end of the P wave to QRS onset in 1ms increments. Clusters of >3 Ripple bars were interrogated for the presence of Purkinje potentials, which were tagged on the 3D geometry. Repeating this process allowed conduction system delineation.
RESULTS RESULTS
Maps were reviewed in 24pts (mean 3112 ± 613 points). There were 150.9 ± 24.5 Purkinje potentials per map, at the location of the left posterior fascicle (LPF) in 22pts (92%) and at the location of the left anterior fascicle (LAF) in 15pts (63%). The LAF was shorter (41.4 vs 68.8mm, p= 0.0005) activating for a shorter duration (40.6 vs 64.9ms, p=0.002). 14/24pts had LBBB with 11/14 (78%) having Purkinje potential associated breakout. There were fewer breakouts from the conduction system during LBBB (1.8 vs 3.4 (1.6 ± 0.6, p=0.039)) and an inverse correlation between breakout sites and QRS duration (p=0.0035).
CONCLUSION CONCLUSIONS
We applied Ripple Mapping to present a detailed electroanatomic characterisation of the conduction system in the post-infarct LV. Patients with broader QRS had fewer LV breakout sites from the conduction system. However, there was 3D mapping evidence of LV breakout from an intact conduction system in the majority of patients with LBBB.

Identifiants

pubmed: 38286246
pii: S1547-5271(24)00092-4
doi: 10.1016/j.hrthm.2024.01.038
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

George Katritsis (G)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Balrik Kailey (B)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Vishal Luther (V)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Shahnaz Jamil Copley (S)

Nottingham City and Queens Hospitals, Nottingham University Hospitals, UK.

Michael Koa-Wing (M)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Anu Balasundram (A)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Louisa Malcolme-Lawes (L)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Norman Qureshi (N)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Phang Boon Lim (P)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Fu Siong Ng (FS)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Nuno Cortez Diaz (N)

Hospital de Santa Maria, Lisbon, Portugal.

Luis Carpinteiro (L)

Hospital de Santa Maria, Lisbon, Portugal.

Joao de Sousa (J)

Hospital de Santa Maria, Lisbon, Portugal.

Ruairidh Martin (R)

Freeman Hospital, Newcastle Upon Tyne Hospitals NHS Foundation Trust, UK.

Moloy Das (M)

Freeman Hospital, Newcastle Upon Tyne Hospitals NHS Foundation Trust, UK.

Stephen Murray (S)

Freeman Hospital, Newcastle Upon Tyne Hospitals NHS Foundation Trust, UK.

Anthony Chow (A)

Barts Heart Centre, Barts Health NHS Trust, UK.

Nicholas S Peters (NS)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Zachary Whinnett (Z)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Nick Wf Linton (NW)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK.

Prapa Kanagaratnam (P)

Hammersmith Hospital, Imperial College Healthcare NHS Trust, UK. Electronic address: p.kanagaratnam@imperial.ac.uk.

Classifications MeSH