Predictive value of left atrial strain for left ventricular reverse remodeling in dilated cardiomyopathy
Qimin Fang1, Ao Kan1, Shuhao Li1
1Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiang Xi, China.
Insights
Left atrial strain parameters, including left atrial conduit strain (LACS), can help predict left ventricular reverse remodeling (LVRR) in dilated cardiomyopathy (DCM) patients. This aids in tailoring treatment for better outcomes.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Dilated cardiomyopathy (DCM) poses challenges in predicting left ventricular reverse remodeling (LVRR).
- Early LVRR prediction is crucial for optimizing treatment strategies in DCM patients.
Purpose of the Study:
- To evaluate the predictive value of left atrium (LA) strain parameters for LVRR in DCM patients.
- To identify key imaging and clinical factors for LVRR prediction.
Main Methods:
- Retrospective analysis of clinical and CMR imaging data from 116 DCM patients (Jan 2018-Jan 2023).
- LA strain parameters, including left atrial conduit strain (LACS), were derived from CMR images.
- Logistic regression analysis was employed to identify independent predictors of LVRR.
Main Results:
- LVRR occurred in 69 patients within one year.
- Left ventricular end-diastolic volume index (LVEDVi), LACS, and late gadolinium enhancement extent (LGE%) were identified as independent predictors of LVRR.
- A predictive model combining NYHA class, LVEDVi, LGE%, and LACS demonstrated strong performance (AUC = 0.807).
Conclusions:
- LVEDVi, LACS, and LGE% are significant independent predictors of 1-year LVRR in DCM.
- Combining clinical and imaging parameters, including LACS, enhances LVRR prediction accuracy.
Background:
Early prediction of left ventricular reverse remodeling (LVRR) can guide the subsequent treatment in dilated cardiomyopathy (DCM) patients. We aimed to investigate the value of left atrium (LA) strain for predicting LVRR in DCM patients.
Methods:
Clinical and imaging data of DCM patients were gather between January 2018 and January 2023. The participators were divided into LVRR group and non-LVRR group according to the ultrasound follow-up results. CMR images were process to yield LA fast long-axis strain parameters. Univariate and multivariate logistic regression analysis was used to screen the predictors and establish the prediction model.
Results:
The study included 116 participants. LVRR occurred in 69 participants within 1 year. Compared with the non-LVRR group, the LVRR group has smaller left ventricular end-diastolic volume index (LVEDVi), late gadolinium enhancement extent (LGE%) and higher left atrial passive eject fraction (LAPEF), left atrial reservoir strain (LARS) and left atrial conduit strain (LACS). In multivariable logistic regression analysis, LVEDVi (HR: 0.990; 95 % CI: 0.981, 0.999; P = 0.037), LACS (HR: 1.434; 95 % CI: 1.025, 2.007; P = 0.035) and LGE% (HR: 0.713; 95 % CI: 0.584, 0.870; P = 0.001) were independent predictors of LVRR. The model based on NYHA, LVEDVi, LGE% and LACS had a better performance in predicting LVRR (AUC = 0.807; 95 % CI: 0.723; 0.874).
Conclusions:
LVEDVi, LACS and LGE% were independent predictors of LVRR within 1 year in DCM patients. The combination of NYHA, LVEDVi, LACS and LGE% has a better predictive performance.
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