Evidence map›Paper›PMID 41254838›Full record

ArticleJournal of cardiovascular electrophysiology2025

Predictive Value of Left Atrial Strain for Atrial High-Rate Episodes in Patients With Permanent Cardiac Pacing.

Gabriele Dell'Era, Domenico D'Amario, Leonardo Grisafi, Anna Degiovanni, Anthea Tonia D'Amico, Maria Gabriella Guidetti, Luca Pescarmona, Marco Mennuni, Giuseppe Patti

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Article in Journal of cardiovascular electrophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Gabriele Dell'EraMaggiore Della Carità Hospital, Novara, Italy.ORCID 0000-0002-7517-0771
Domenico D'AmarioMaggiore Della Carità Hospital, Novara, Italy.
Leonardo GrisafiMaggiore Della Carità Hospital, Novara, Italy.
Anna DegiovanniMaggiore Della Carità Hospital, Novara, Italy.
Anthea Tonia D'AmicoMaggiore Della Carità Hospital, Novara, Italy.
Maria Gabriella GuidettiDepartment of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Luca PescarmonaDepartment of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Marco MennuniMaggiore Della Carità Hospital, Novara, Italy.ORCID 0000-0002-3795-8787
Giuseppe PattiMaggiore Della Carità Hospital, Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial high-rate episodes (AHREs) detected by cardiac implantable electronic devices are associated with a higher risk of developing subsequent atrial fibrillation. Thus, risk stratification for AHREs is essential to guide patient management and improve outcome. Left atrial strain (LAS) parameters have been proposed as markers of atrial mechanical dysfunction, but their predictive value for AHRE prediction is not definitely established.

methodsWe performed a retrospective, single-center study on consecutive patients undergoing pacemaker implantation. Pre-implant echocardiographic assessment included the measurement of LAS parameters. AHREs were defined as asymptomatic episodes with atrial rate > 175 bpm lasting ≥ 5 min by pacemaker evaluation. Primary endpoint was the predictive accuracy of LAS values for AHRE occurrence during follow-up.

resultsA total of 269 patients (age 78.0 ± 11.2 years; CHA₂DS₂-VASc score 3.8 ± 1.6) were included. Median follow-up was 28 months. ROC analysis showed that LAS contraction had superior predictive value for AHREs than LAS reservoir (AUC 0.75 vs. 0.63, p = 0.001). A 10.2% cutoff of LAS contraction had sensitivity of 77%, specificity of 64%, and negative predictive value (NPV) of 90% for AHRE occurrence. Kaplan-Meier analysis showed a higher AHRE incidence in patients with LAS contraction < 10.2% (45% vs. 10% in those with LAS contraction ≥ 10.2%; log-rank p < 0.001). Multivariate analysis confirmed LAS contraction < 10.2% as an independent predictor of AHREs (adjusted hazard ratio [aHR] 5.0 (95% CI 2.7-9.3); p < 0.001). The risk increase was even higher when a LAS contraction < 10.2% was associated with age ≥ 70 years (aHR 16.3; 95% CI 2.0-131.7; p = 0.009).

conclusionsIn patients with a permanent pacemaker, pre-implant LAS contraction by echocardiography is an independent predictor of future AHRE development, with a very high NPV. The evaluation of LAS contraction may represent a valuable tool for identifying in clinical practice those individuals at low risk for AHREs.

Indexed as

Atrial FibrillationAtrial Function, LeftCardiac Pacing, ArtificialHeart AtriaHeart RatePacemaker, ArtificialAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk Factorsatrial fibrillation (AF)atrial high rate episodes (AHRE)cardiac implantable electronic devices (CIED)cardiac pacemakers (PM)left atrial strain (LAS)

Identifiers

PMID41254838
PMCPMC12697232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.