ArticlePacing and clinical electrophysiology : PACE2025
Relationship Between Left Atrial Coupling Index and Atrial High-Rate Episodes.
Article in Pacing and clinical electrophysiology : PACE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Left Atrial Volumes and Strains in Healthy Mid-Term Pregnancy-A Detailed Investigation from a Three-Dimensional Speckle-Tracking Echocardiographic MAGYAR-Preg Study.Biomedicines · 2026Article
- Predictors for Device-Detected Subclinical Atrial Fibrillation: An Up-to-Date Narrative Review.Journal of clinical medicine · 2026Review
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Authors and funding
8 authors.
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Abstract
objectiveThis study aimed to explore the role and compare the accuracy of the left atrial coupling index (LACI) with other efficient traditional parameters for predicting atrial high-rate episodes (AHREs) in patients with cardiac implantable electronic devices (CIEDs).
methodsThis retrospective study included 203 patients with CIEDs whose echocardiographic data were recorded at least 6 months ago. The study population was divided into two groups based on whether the patients had developed AHRE. Subsequently, patients in the two groups were compared in terms of echocardiographic measurements, including left atrial functions, LACI, left atrial volume index (LAVI), left ventricle end-diastolic diameter (LVEDD), and lower left ventricle ejection fraction (LVEF).
resultsAHRE was observed in 42.8% (n = 87) of the 203 patients. Those with AHRE had a higher mean mitral E/Em, LAVI, LACI, LVEDD, and lower LVEF. LACI (OR: 1.752, 95% CI: 1.356-2.263; p < 0.001), LAVI, and age were found to be independent predictors of AHREs. A receiver operating characteristic (ROC) curve comparison demonstrated that the LACI was a better predictor of AHRE than the LAVI.
conclusionAHRE often progresses to atrial fibrillation, which has unfavorable consequences; therefore, predicting AHRE becomes vital. LACI, an easily accessible echocardiographic parameter, is a more robust predictor of AHRE than traditional parameters such as LAVI.
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