Arrhythmias & electrophysiology

Radiofrequency Ablation of the Diseased Human Left Ventricle: Biophysical and Electrogram-Based Analysis

JACC Clin ElectrophysiolPublished Mechanistic study

Authors' conclusion

On biophysical analysis, ablation beyond an AI of 763 and FTI of 713 gs offers minimal additional efficacy on average. Fibrosis blunts ablation efficacy. AI is a stronger correlate with impedance drop than FTI. EGM attenuation does not correlate with ablation parameters.

Study context

Population
Patients undergoing VT ablation402 ablations analysed
Participants
15 patients
Comparison
Normal-voltage myocardium (NVM) vs intermediate-voltage myocardium (IVM) vs low-voltage myocardium (LVM)
Outcome
Relationships of ablation index (AI) and force-time integral (FTI) with impedance drop and EGM attenuation in the human LV

Main finding

As reported in the abstract

GroupRepeated-measures correlation, ablation index (AI) vs impedance dropRepeated-measures correlation, force-time integral (FTI) vs impedance drop
NVM0.670.59
IVM0.600.51
LVM0.520.42

Repeated-measures correlation, ablation index (AI) vs impedance drop

NVM0.67
IVM0.60
LVM0.52

Repeated-measures correlation, force-time integral (FTI) vs impedance drop

NVM0.59
IVM0.51
LVM0.42
% impedance drop correlated with AI (repeated-measures correlation coefficient)
0.54
% impedance drop correlated with FTI (repeated-measures correlation coefficient)
0.44
Correlation of impedance drop with AI and FTI
P < 0.0005
Curve plateau: AI
763
Curve plateau: FTI
713 gram-seconds
Impedance drop at plateau
7.5%
Shallower curves progressively from NVM to LVM
P < 0.0005
Mixed models: standardized β for AI on impedance drop (greater than fibrosis, drift, orientation)
0.54
Mixed models: standardized β for FTI on impedance drop
0.48

Further findings

Electrogram (EGM) attenuation with ablation

EGM attenuation (median)
29.3%; IQR: 4.4%-53.3%; P < 0.0005
Attenuation did not correlate with AI or FTI

Original publication

Radiofrequency Ablation of the Diseased Human Left Ventricle: Biophysical and Electrogram-Based Analysis. JACC Clin Electrophysiol. Published 10 October 2022. doi:10.1016/j.jacep.2022.10.001

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.