Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Electrocardiographic predictors of atrial mechanical sensing in leadless pacemakers

Abstract

BACKGROUND

Leadless pacemakers (LPs) capable of VDD pacing allow for atrioventricular synchrony through mechanical sensing of atrial contraction. However, mechanical sensing is less reliable and less predictable than electrical sensing.

OBJECTIVE

The purpose of this study was to evaluate P-wave amplitude during sinus rhythm from preoperative 12-lead electrocardiograms (ECGs) as a predictor for atrial mechanical sensing in patients undergoing VDD LP implantation.

METHODS

Consecutive patients undergoing VDD LP implantation were included in this 2-center prospective cohort study. ECG parameters were evaluated separately and in combination for association with the signal amplitude of atrial mechanical contraction (A4).

RESULTS

Eighty patients (median age 82 years; female 55%; mean body mass index [BMI] 25.8 kg/m$^{2}$) were included in the study and 61 patients in the A4 signal analysis (19 patients in VVI mode during follow-up). Absolute (aVL, aVF, V$_{1}$, V$_{2}$) and BMI-adjusted (I, II, aVL, aVF, aVR, V$_{1}$, V$_{2}$) P-wave amplitudes from baseline ECGs demonstrated a statistically significant positive correlation with A4 signal amplitude (all P <.05). A combined P-wave signal amplitude of at least 0.2 mV in V$_{1}$ and aVL was predictive, with specificity of 83% (95% confidence interval 67%-100%) for A4 signal ≥1 m/s$^{2}$. We found a significant correlation of A4 signal amplitude and overall atrioventricular synchrony (P = .013).

CONCLUSION

P-wave amplitudes in ECG leads aVL and V$_{1}$ can predict A4 signal amplitude in patients with VDD LP and therefore the probability of successful AV synchronous pacing.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Cardiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Cardiology and Cardiovascular Medicine
Health Sciences > Physiology (medical)
Language:English
Date:July 2024
Deposited On:08 Jan 2025 11:32
Last Modified:30 Apr 2025 01:37
Publisher:Elsevier
ISSN:1547-5271
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.hrthm.2024.02.061
PubMed ID:38432424

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
1 citation in Web of Science®
1 citation in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 08 Jan 2025
0 downloads since 12 months

Authors, Affiliations, Collaborations

Similar Publications