Predictive value of left atrial strain for left ventricular reverse remodeling in dilated cardiomyopathy

被引:1
作者
Fang, Qimin [1 ]
Kan, Ao [1 ]
Li, Shuhao [1 ]
Yu, Yaohan [2 ]
Dai, Jiankun [3 ]
Song, Yipei [1 ]
Wang, Xiwen [1 ]
Xiao, Xuan [1 ]
Xu, Lin [1 ]
Gong, Lianggeng [1 ]
机构
[1] Nanchang Univ, Affiliated Hosp 2, Jiangxi Med Coll, Dept Radiol, Minde Rd 1, Nanchang, Jiangxi, Peoples R China
[2] Zhejiang Univ, Childrens Hosp, Radiol, Sch Med, Hangzhou, Peoples R China
[3] GE Healthcare, MR Res, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Dilated cardiomyopathy; Prognosis; Cardiac magnetic resonance; Left ventricular reverse remodeling; Left atrial stain; CARDIAC RESYNCHRONIZATION THERAPY; INDEPENDENT PREDICTOR;
D O I
10.1016/j.ijcard.2025.133020
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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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页数:8
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