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Cardiac magnetic resonance-derived left atrioventricular coupling index predicts outcome in reduced ejection fraction

  • Marco Guglielmo
  • , Damiano Fedele
  • , Luca Bergamaschi
  • , Matteo Armillotta
  • , Francesco Angeli
  • , Mariachiara Ciarlantini
  • , Ilaria Buccella
  • , Carmine Pizzi
  • , Theo Pezel
  • , Giovanni Donato Aquaro
  • , Andrea Baggiano
  • , Andrea Barison
  • , Jan Bogaert
  • , Leonardo Calò
  • , Giovanni Camastra
  • , Samuela Carigi
  • , Nazario Carrabba
  • , Grazia Casavecchia
  • , Stefano Censi
  • , Gloria Cicala
  • Carlo N De Cecco, Manuel De Lazzari, Gabriella Di Giovine, Monica Dobrovie, Marta Focardi, Laura Fusini, Nicola Gaibazzi, Annalaura Gismondi, Matteo Gravina, Pim van der Harst, Chiara Lanzillo, Massimo Lombardi, Valentina Lorenzoni, Jordi Lorano-Torres, Davide Margonato, Chiara Martini, Francesca Marzo, Pier-Giorgio Masci, Ambra Masi, Claudio Moro, Giuseppe Muscogiuri, Saima Mushtaq, Alberto Nese, Alessandro Palumbo, Patrizia Pedrotti, Martina Perazzolo Marra, Silvia Pradella, Cristina Presicci, Mark G Rabbat, Claudia Raineri, Jose' F Rodriguez-Palomares, Stefano Sbarbati, Angelo Squeri, Nicola Sverzellati, Rolf Symons, Emily Tat, Mauro Timpani, Giancarlo Todiere, Adele Valentini, Akos Varga-Szemes, Alessandra Volpe, Andrea Igoren Guaricci, Juerg Schwitter, Anna Giulia Pavon, Gianluca Pontone*
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

The left atrioventricular coupling index (LACI) has emerged as a potential prognostic marker in several clinical settings. This study evaluated the prognostic value of cardiac magnetic resonance (CMR)-derived LACI in patients with heart failure (HF) and reduced left ventricular ejection fraction (LVEF). Patients from the multicentre DERIVATE registry with LVEF <50% who underwent CMR were included. LACI was calculated as the ratio between left atrial and left ventricular end-diastolic volumes. Univariable and multivariable Cox regression models estimated hazard ratios (HR) with 95% confidence intervals (CI) for predicting all-cause mortality (ACM), ACM or HF, and HF alone (competing-risk analysis). Time-dependent receiver operating characteristic analysis identified optimal cut-offs for 3-year outcomes. A total of 2170 patients were included (mean age 59.8 ± 13.9 years; 24.7% women; mean LVEF 31.6 ± 11.3%). Median follow-up was 1016 days (580–1609). Median LACI was 19.4% (13.3–28.8). During follow-up, ACM occurred in 191 patients (8.8%), ACM or HF in 565 (26.0%), and HF in 442 (20.4%). After adjustment for clinical and CMR parameters, including LVEF and late gadolinium enhancement (LGE), each 5% increase in LACI was associated with higher risk of ACM (HR 1.06, 95% CI 1.01–1.11; P = .016), ACM or HF (HR 1.09, 95% CI 1.06–1.12; P < .001), and HF (HR 1.09, 95% CI 1.05–1.12; P < .001). The optimal cut-off for ACM was LACI ≥21% (AUC 0.617, 95% CI 0.561–0.673), identifying patients at higher risk of ACM, ACM or HF, and HF (log-rank P < .001 for all). CMR-derived LACI independently predicts ACM and HF in patients with reduced LVEF and provides incremental prognostic value beyond LVEF and LGE. A cut-off of ≥21% identifies higher-risk patients and may support clinical risk stratification.

Original languageEnglish
Article numberxvag130
JournalESC heart failure
Volume13
Issue number3
DOIs
Publication statusPublished - Jun 2026

Keywords

  • Cardiac magnetic resonance
  • Dilated cardiomyopathy
  • Heart failure
  • Ischaemic cardiomyopathy
  • Left atrioventricular coupling index

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