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Updated: Jun 23, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Change in left atrial function and volume predicts incident heart failure with preserved and reduced ejection
Daniel J Lim1, Vinithra Varadarajan1, Thiago Quinaglia1
1School of Medicine, Johns Hopkins University, Baltimore MD, USA.
Insights
Changes in left atrial strain predict heart failure with preserved ejection fraction (HFpEF), while changes in left atrial volume predict heart failure with reduced ejection fraction (HFrEF) in individuals with subclinical cardiovascular disease.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Heart Failure Research
Background:
- The progression of subclinical cardiovascular disease (CVD) to heart failure (HF) involves complex cardiac remodeling.
- Changes in left atrial (LA) structure and function are implicated in HF development, but their predictive value before clinical diagnosis is not fully understood.
Purpose of the Study:
- To investigate the relationship between longitudinal changes in LA parameters and the incidence of HFpEF and HFrEF.
- To assess the predictive capability of these LA changes using cardiac magnetic resonance (CMR) imaging in a multi-ethnic cohort with subclinical CVD.
Main Methods:
- A prospective, multi-ethnic cohort study involving 2470 participants with subclinical CVD.
- LA volume and function were assessed using multimodality tissue tracking on CMR imaging at baseline and a follow-up scan.
- Incident HF (HFpEF and HFrEF) was tracked over time, with statistical analysis performed to determine associations between LA parameter changes and HF risk.
Main Results:
- An annual decrease in peak LA strain (ΔLASmax) was strongly associated with an increased risk of HFpEF (HR=2.56) and improved HFpEF prediction.
- An annual decrease in pre-atrial indexed LA volumes (ΔLAVipreA) was strongly associated with an increased risk of HFrEF (HR=1.88) and improved HFrEF prediction.
- Both ΔLASmax and ΔLAVipreA demonstrated incremental predictive value for HFpEF and HFrEF, respectively, after adjusting for covariates.
Conclusions:
- Longitudinal changes in LA function (strain) and volume are significant predictors of future HFpEF and HFrEF.
- These findings highlight the potential of monitoring LA dynamics via CMR imaging for early risk stratification in individuals with subclinical CVD.
Aims:
The role of change in left atrial (LA) parameters prior to the onset of heart failure (HF) remains unclear. We used cardiac magnetic resonance (CMR) imaging to investigate the relationship between longitudinal change in LA function and incident HF in a multi-ethnic population with subclinical cardiovascular disease (CVD).
Methods And Results:
In this prospective multi-ethnic cohort study, 2470 participants (60 ± 9 years, 47% males), free at baseline of clinical CVD, had LA volume and function assessed via multimodality tissue tracking on CMR imaging at baseline (2000-02) and a second study 9.4 ± 0.6 years later. Free of HF, 73 participants developed incident HF [HF with preserved ejection fraction (HFpEF), n = 39; reduced ejection fraction (HFrEF), n = 34] 7.1 ± 2.1 years after the second study. An annual decrease of 1 SD unit in peak LA strain (ΔLASmax) was most strongly associated with the risk of HFpEF [subdistribution hazard ratios (HR) = 2.56, 95% confidence interval (CI) (1.34-4.90), P = 0.004] and improved model reclassification and discrimination in predicting HFpEF [C-statistic = 0.84, 95% CI (0.79-0.90); net reclassification index (NRI) = 0.34, P = 0.01; and integrated discrimination index (IDI) = 0.02, P = 0.02], whilst an annual decrease of 1 mL/m2 of pre-atrial indexed LA volumes (ΔLAVipreA) was most strongly associated with the risk of HFrEF [subdistribution HR = 1.88, 95% CI (1.44-2.45), P < 0.001] and improved model reclassification and discrimination in predicting HFrEF [C-statistic = 0.81, 95% CI (0.72-0.90); NRI = 0.31, P = 0.03; and IDI = 0.01, P = 0.50] after adjusting for event-specific risk factors and baseline LA measures.
Conclusion:
ΔLASmax and ΔLAVipreA were associated with and incrementally predictive of HFpEF and HFrEF, after adjusting for risk factors and baseline LA measures in this population of subclinical CVD.
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