Accurate Detection of Lead Malfunction From ECG-derived Bipolar Pacing Stimulus Amplitude.

ECG insulation malfunction pacemaker leads pseudo-unipolarization stimulus

Journal

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

Informations de publication

Date de publication:
02 Apr 2024
Historique:
received: 27 02 2024
revised: 21 03 2024
accepted: 29 03 2024
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 4 4 2024
Statut: aheadofprint

Résumé

One common mode of lead failure is insulation breach which may result in myopotential noise and device malfunction. "Pseudo-unipolarization" of bipolar pacing stimuli, as observed from a routine 12-lead ECG due to stimulus current leak has been observed with insulation breaches. We sought to characterize this ECG finding to detect lead this type of lead malfunction. 138 transvenous leads were analyzed, including 88 with known malfunction and 50 normal leads. The amplitude of a bipolar pacing stimulus on ECG was recorded and compared to a control dataset of newly implanted leads with bipolar stimuli normalized for output. The malfunction group consisted of 61% RA and 39% RV leads with mean pacing output 2.74V at 0.5ms. There was a significant difference in ECG bipolar stimulus amplitudes at time of identification of failure (7.89 ± 7.56mm per V, p<0.001) compared to those of normal leads (0.86 ± 0.41mm per V). ROC curve for the prediction of lead malfunction based on absolute EKG amplitude displayed an area under curve of 0.93 (95% CI 0.891- 0.969). When normalized for programmed stimulus output, a cutoff of 5mm/V demonstrated a sensitivity of 91% and a specificity of 92% (AUC 0.967 95% CI 0.938-0.996). The maximum amplitude of a bipolar pacing stimulus on ECG is significantly lower in normal functioning leads compared to those with known malfunction. This simply-derived variable demonstrated good accuracy at identifying lead failure due to insulation breach.

Sections du résumé

BACKGROUND BACKGROUND
One common mode of lead failure is insulation breach which may result in myopotential noise and device malfunction. "Pseudo-unipolarization" of bipolar pacing stimuli, as observed from a routine 12-lead ECG due to stimulus current leak has been observed with insulation breaches.
OBJECTIVE OBJECTIVE
We sought to characterize this ECG finding to detect lead this type of lead malfunction.
METHODS METHODS
138 transvenous leads were analyzed, including 88 with known malfunction and 50 normal leads. The amplitude of a bipolar pacing stimulus on ECG was recorded and compared to a control dataset of newly implanted leads with bipolar stimuli normalized for output.
RESULTS RESULTS
The malfunction group consisted of 61% RA and 39% RV leads with mean pacing output 2.74V at 0.5ms. There was a significant difference in ECG bipolar stimulus amplitudes at time of identification of failure (7.89 ± 7.56mm per V, p<0.001) compared to those of normal leads (0.86 ± 0.41mm per V). ROC curve for the prediction of lead malfunction based on absolute EKG amplitude displayed an area under curve of 0.93 (95% CI 0.891- 0.969). When normalized for programmed stimulus output, a cutoff of 5mm/V demonstrated a sensitivity of 91% and a specificity of 92% (AUC 0.967 95% CI 0.938-0.996).
CONCLUSION CONCLUSIONS
The maximum amplitude of a bipolar pacing stimulus on ECG is significantly lower in normal functioning leads compared to those with known malfunction. This simply-derived variable demonstrated good accuracy at identifying lead failure due to insulation breach.

Identifiants

pubmed: 38574791
pii: S1547-5271(24)02309-9
doi: 10.1016/j.hrthm.2024.03.1814
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Michael S Lloyd (MS)

Emory University Section of Clinical Cardiac Electrophysiology, Atlanta GA, USA. Electronic address: Mlloyd2@emory.edu.

Mary Pelling (M)

Emory University School of Medicine, Atlanta GA, USA.

Rand Ibrahim (R)

Emory University Section of Clinical Cardiac Electrophysiology, Atlanta GA, USA.

Mikhael F El-Chami (MF)

Emory University School of Medicine, Atlanta GA, USA.

Shahriar Iravanian (S)

Emory University School of Medicine, Atlanta GA, USA.

Classifications MeSH