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Updated: Jan 15, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Prognostic value of left atrial strain analysis in patients with chronic myocarditis
Yuting Zou1, Zhongwei Yuan2, Xinyi Wang2
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324 Jingwu Road, Jinan 250021, China.
Insights
Left atrial strain, measured by cardiac MRI, predicts outcomes in chronic myocarditis. These measures are reliable for ruling out adverse cardiovascular events in patients.
Area of Science:
- Cardiology
- Medical Imaging
- Prognostics
Background:
- Left atrial (LA) strain and LA atrioventricular coupling index (LACI) are known prognostic markers in cardiovascular diseases.
- Their predictive value in chronic myocarditis is not well-established.
Purpose of the Study:
- To assess the prognostic significance of cardiac MRI (CMR)-derived LA strain and LACI in patients with chronic myocarditis.
- To determine if these parameters can predict adverse cardiovascular events.
Main Methods:
- Retrospective analysis of 113 patients with suspected chronic myocarditis undergoing CMR.
- Collected data on LA functional parameters, LACI, clinical factors, and outcomes.
- Used multivariable Cox regression to identify independent predictors of composite endpoints (major adverse cardiovascular events and arrhythmias).
Main Results:
- LA reservoir strain and LA conduit strain independently predicted composite events (P=0.003 and P=0.007, respectively).
- These LA strain parameters demonstrated high negative predictive values and sensitivities for ruling out events.
- A combined model of LA reservoir and conduit strains achieved excellent predictive performance (AUC=0.90).
Conclusions:
- CMR-derived LA reservoir and conduit strains are independent predictors of adverse outcomes in chronic myocarditis.
- These LA strain measures serve as effective "rule-out" tools for cardiovascular events in this patient group.
- The combined analysis of LA strains offers robust predictive capability for adverse outcomes.
Background:
Left atrial (LA) strain and left atrioventricular coupling index (LACI) independently predict prognosis in multiple cardiovascular diseases, but their prognostic value in chronic myocarditis remains unclear. This study aimed to evaluate the prognostic value of CMR-derived LA strain and LACI in patients with chronic myocarditis.
Methods:
This single-center retrospective study included patients suspected of chronic myocarditis who underwent CMR from June 2019 to October 2024. CMR-derived LA functional parameters, LACI, as well as clinical characteristics and outcomes were collected. Composite endpoints included major adverse cardiovascular events and arrhythmia (including ventricular premature beats and intraventricular conduction block). Multivariable Cox regression identified predictive parameters.
Results:
A total of 113 patients (mean age 50 ± 12 years; 62 males) were enrolled. After a median follow-up of 24 months, 17 (15.0%) patients experienced composite events. Multivariable Cox regression showed that LA reservoir strain (adjusted HR = 0.770, 95%CI: 0.631-0.894, P = 0.003) and LA conduit strain (adjusted HR = 0.770, 95%CI: 0.615-0.911, P = 0.007) were independent predictors of composite events. LA reservoir strain and LA conduit strain had high negative predictive values (98.6% and 97.5%, respectively) and sensitivities (94.1% and 88.2%, respectively) for ruling out composite events, with statistical significance. The integrated model incorporating traditional CMR parameters, LARS, and LACS exhibited the best predictive performance (AUC=0.906, 95% CI: 0.788-0.973).
Conclusion:
CMR-derived LA reservoir and conduit strains are independent predictors of adverse clinical outcomes in patients with chronic myocarditis, serving as reliable "rule-out" tools for composite events. Additionally, the combined model of these two strains exhibits excellent predictive performance for composite events.
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