Prognostic value of the left atrioventricular coupling index in patients with chronic heart failure: a comparative echocardiographic analysis

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Authors: C Trigo, R Viana, J Vasconcelos, I Joao, Hélder Pereira
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Abstract

Abstract Introduction The left atrioventricular coupling index (LACI), defined as the ratio between minimum left atrial volume and left ventricular end-diastolic volume (LVEDV) may reflect left atrioventricular coupling dysfunction and could potentially serve as a predictor of clinical outcomes. Indeed, prior studies have shown that LACI is independently associated with cardiovascular outcomes in healthy individuals and specific scenarios as after acute myocardial infarction and hypertrophic cardiomyopathy. However, its prognostic significance in patients with chronic heart failure (HF) remains to be fully elucidated. Purpose To evaluate the prognostic value of LACI in patients with chronic HF and to compare its predictive accuracy with other established echocardiographic parameters. Methods Retrospective study. We included consecutive patients with chronic HF referred to the echocardiography laboratory between January 2023 and April 2024. All patients had a minimum follow-up of one year, with the primary prognostic endpoint being a composite of all-cause mortality and HF hospitalization. The predictive accuracy of LACI was evaluated using ROC curve analysis. Results A total of 156 patients were included. Table 1 summarizes baseline characteristics. The mean follow-up duration was 631 ± 227 days. During follow-up, 30 patients (19%) met the primary endpoint. Univariate analysis showed that higher E/A ratio (1.9 vs. 0.9; p=0.009), higher E/E’ ratio (13.8 vs. 9.6; p=0.006), higher biplane indexed left atrial volume (BpLAiVol) (66.7 vs. 41.7 mL/m²; p

Fields of Study & Subjects

Cardiovascular Function and Risk Factors Heart Failure Treatment and Management Cardiac pacing and defibrillation studies

Publication details

Journal / source
European Heart Journal - Cardiovascular Imaging
Volume
27
Issue
Supplement_1
Publication date
1 January 2026
Language
EN