Abstract 4143691: Prediction of extent of reverse remodeling and outcome after cardiac resynchronization therapy using a strain-based classification of dyssynchrony

Introduction: Echocardiography-derived septal strain patterns can serve as indicators of the progressive left ventricular (LV) remodeling caused by left bundle branch block (LBBB)-induced dyssynchrony. Research question: What is the prognostic value of these strain patterns in predicting volumetric response and clinical outcome in patients undergoing cardiac resynchronization therapy (CRT)? Methods: In this prospective multicenter study, CRT candidates from 5 centres received pre-implantation echocardiographic assessments with speckle-tracking strain analysis. Dyssynchrony was quantified through the analysis of septal strain curves, categorizing patients into 5 distinct strain patterns, denoted as Stage-0 through Stage-4 (Fig. 1). Extent of reverse remodeling was determined at 1 year. The pre-defined endpoint was death from any cause. Results: A total of 267 patients were included (66±11 years, 69% males, 90% LBBB, LV ejection fraction [EF] 30±7%). CRT yielded a progressive reverse remodeling: minimal in Stage-0 patients (ΔLV end-systolic volume (ESV) -9±21ml; ΔLVEF +4±8%) and substantial in Stage-4 patients (ΔLV ESV -85±54ml; ΔLVEF +20±9%) (ANOVA p<0.001 for both) (Fig. 2). Median follow-up was 49 months. Stage-0 patients showed the least favorable outcome (log rank p=0.002), while subsequent stages exhibited progressively more favorable outcome (log rank p=0.045) (Fig. 3). The occurrence of death decreased incrementally according to the strain stages, with corresponding hazard ratios of Stage-1 through -4: 0.61 (95% CI 0.25-1.50), 0.26 (95% CI 0.10-0.68), 0.29 (95% CI 0.11-0.77), and 0.13 (95% CI 0.04-0.51) compared to Stage-0 (all p<0.001). After adjusting for baseline LVEF, ischemic heart disease, and the presence of an ICD, strain staging maintained a significant association with a reduced risk of adverse outcomes (hazard ratio 0.69 (95% CI 0.51-0.92), p<0.001). Conclusions: Septal strain patterns show a clear association with the extent of reverse remodeling and outcome in CRT-treated patients. The proposed strain staging classification offers valuable insights into the pathophysiology of LBBB-induced LV remodelling and may assist in the identification of candidates who stand to gain the most from CRT implantation.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4143691
Primary Topic
Cardiac pacing and defibrillation studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4143691: Prediction of extent of reverse remodeling and outcome after cardiac resynchronization therapy using a strain-based classification of dyssynchrony

Elena Galli, Jens‐Uwe Voigt, Alexis Puvrez, Erik Kongsgård et al.
Circulation
Cardiac pacing and defibrillation studies
article

Abstract 4143691: Prediction of extent of reverse remodeling and outcome after cardiac resynchronization therapy using a strain-based classification of dyssynchrony

Elena Galli, Jens‐Uwe Voigt, Alexis Puvrez, Erik Kongsgård, Simon Calle, Erwan Donal, Jürgen Duchenne, Marc De Buyzere, Oana Mirea, Otto Armin Smiseth, Gábor Vörös, John M. Aalen, Martin Pěnička, Frank Timmermans, Camilla Larsen
article en

Abstract

Introduction: Echocardiography-derived septal strain patterns can serve as indicators of the progressive left ventricular (LV) remodeling caused by left bundle branch block (LBBB)-induced dyssynchrony. Research question: What is the prognostic value of these strain patterns in predicting volumetric response and clinical outcome in patients undergoing cardiac resynchronization therapy (CRT)? Methods: In this prospective multicenter study, CRT candidates from 5 centres received pre-implantation echocardiographic assessments with speckle-tracking strain analysis. Dyssynchrony was quantified through the analysis of septal strain curves, categorizing patients into 5 distinct strain patterns, denoted as Stage-0 through Stage-4 (Fig. 1). Extent of reverse remodeling was determined at 1 year. The pre-defined endpoint was death from any cause. Results: A total of 267 patients were included (66±11 years, 69% males, 90% LBBB, LV ejection fraction [EF] 30±7%). CRT yielded a progressive reverse remodeling: minimal in Stage-0 patients (ΔLV end-systolic volume (ESV) -9±21ml; ΔLVEF +4±8%) and substantial in Stage-4 patients (ΔLV ESV -85±54ml; ΔLVEF +20±9%) (ANOVA p<0.001 for both) (Fig. 2). Median follow-up was 49 months. Stage-0 patients showed the least favorable outcome (log rank p=0.002), while subsequent stages exhibited progressively more favorable outcome (log rank p=0.045) (Fig. 3). The occurrence of death decreased incrementally according to the strain stages, with corresponding hazard ratios of Stage-1 through -4: 0.61 (95% CI 0.25-1.50), 0.26 (95% CI 0.10-0.68), 0.29 (95% CI 0.11-0.77), and 0.13 (95% CI 0.04-0.51) compared to Stage-0 (all p<0.001). After adjusting for baseline LVEF, ischemic heart disease, and the presence of an ICD, strain staging maintained a significant association with a reduced risk of adverse outcomes (hazard ratio 0.69 (95% CI 0.51-0.92), p<0.001). Conclusions: Septal strain patterns show a clear association with the extent of reverse remodeling and outcome in CRT-treated patients. The proposed strain staging classification offers valuable insights into the pathophysiology of LBBB-induced LV remodelling and may assist in the identification of candidates who stand to gain the most from CRT implantation.

CirculationVol. 150(Suppl_1)
Oslo University Hospital (NO), Universitair Ziekenhuis Leuven (BE), Ghent University Hospital (BE), Ghent University (BE), Onze Lieve Vrouwziekenhuis Hospital (BE), Centre Hospitalier Universitaire de Rennes (FR), KU Leuven (BE)
Good health and well-being
Openalex Percentile: Top 62%
Cardiac pacing and defibrillation studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.