Predictive value of three-dimensional automatic right ventricular quantitive analysis technology for heart failure with improved ejection fraction
10.3760/cma.j.cn131148-20250212-00070
- VernacularTitle:三维右心室自动定量分析技术对射血分数改善的心力衰竭预测价值
- Author:
Cunying CUI
1
;
Yilin DONG
;
Manman YANG
;
Yanan LI
;
Yuanyuan LIU
;
Danqing HUANG
;
Ruijie LIU
;
Qingqing ZHAO
;
Lin LIU
Author Information
1. 郑州大学华中阜外医院，阜外华中心血管病医院超声科，河南省心血管疾病临床医学研究中心，郑州 450018
- Publication Type:Journal Article
- Keywords:
Echocardiography;
Ventricular function，right;
Heart failure with improved ejection fraction
- From:
Chinese Journal of Ultrasonography
2025;34(6):488-495
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of three-dimensional automatic right ventricular quantitive analysis（3D Auto RVQ）technology in predicting the improvement of left ventricular ejection fraction（LVEF）in patients with heart failure with reduced ejection fraction（HFrEF）.Methods:A retrospective analysis was conducted on 89 HFrEF patients admitted to the Cardiology Department of Central China Fuwai Hospital of Zhengzhou University from April 2022 to June 2024. All patients received medication treatment and were further divided into heart failure with improved ejection fraction（HFimpEF）group and non HFimpEF group based on changes detected by echocardiography in LVEF after treatment. The clinical data，biological indicators，and medication treatment status of patients were collected，routine echocardiographic parameters and right ventricular strain parameters were measured，3D right ventricular ejection fraction（3D-RVEF），3D right ventricular stroke volume index（3D-RVSVI），3D right ventricular end-diastolic volume index（3D-RVEDVI），3D right ventricular end-systolic volume index（3D-RVESVI），3D tricuspid annular plane systolic excursion（3D-TAPSE），and 3D right ventricular fractional area change（3D-RVFAC）were measured using 3D Auto RVQ technology. The differences of the above parameters between the two groups were compared. The ROC curve was used to analyze the predictive efficiency of right ventricular parameters for HFimpEF，and the area under ROC curve（AUC）was calculated and compared. Logistic regression models were used to analyze the predictive value of right ventricular parameters for HFimpEF.Results:Compared with the non HFimpEF group，the HFimpEF group had a younger age，shorter heart failure course，a smaller proportion of males，New York Heart Association（NYHA）functional class ≥Ⅲ，and patients with concomitant coronary heart disease. The baseline LVEF，absolute value of two dimensional right ventricular global longitudinal strain（2D-RVGLS），3D-RVEF，3D-TAPSE，and 3D-RVSVI were higher in the HFimpEF group（all P<0.05）. ROC curve analysis showed that the AUC of 3D-RVEF for predicting HFimpEF was 0.858，and the predictive efficiency was higher than other right ventricular parameters. According to the Yoden index，the optimal cutoff value for predicting HFimpEF based on 3D-RVEF was 36.2%，with a corresponding sensitivity of 84.0% and specificity of 75.0%. After adjusting for clinical and other echocardiographic parameters，the logistic regression model showed that 3D-RVEF was an independent predictor of HFimpEF（ OR=1.435，95% CI=1.145-1.800， P<0.05）. Conclusions:The 3D-RVEF evaluated by 3D Auto RVQ technology has high predictive value for HFimpEF，which can provide a reference for clinical treatment，thereby improving the prognosis of HFrEF patients.
