Predictive value of echocardiographic myocardial work combined with clinical indicators for the risk of recurrence of non-valvular atrial fibrillation after catheter ablation
10.3760/cma.j.cn131148-20241227-00685
- VernacularTitle:超声心肌做功联合临床指标预测非瓣膜性心房颤动消融术后复发风险
- Author:
Tingting LIU
1
;
Hailan LIU
;
Yan SONG
;
Chunquan ZHANG
Author Information
1. 南昌大学第二附属医院超声科,南昌 330006
- Publication Type:Journal Article
- Keywords:
Echocardiography;
Atrial fibrillation;
Myocardial work;
Catheter ablation;
Recurrence
- From:
Chinese Journal of Ultrasonography
2025;34(6):481-487
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the influencing factors of recurrence of non-valvular atrial fibrillation(NVAF)after catheter ablation using echocardiographic myocardial work combined with clinical indicators.Methods:A total of 194 patients with NVAF who underwent catheter ablation for the first time in the Second Affiliated Hospital of Nanchang University from June 2021 to March 2023 were retrospectively collected. The clinical and echocardiographic data were collected and followed up for no less than 12 months. Univariate and multivariate Logistic regression analysis were used to determine the independent influencing factors of recurrence. ROC curve analysis was performed for the Logistic regression model established in this study and six previous recurrence scoring models.Results:Left atrial anteroposterior diameter(LAD),global constructive work(GCW),global wasted work(GWW),duration of atrial fibrillation,and type of atrial fibrillation were independent risk factors for recurrence after catheter ablation(all P<0.05). The Logistic regression model had the best diagnostic performance compared with the previous scoring models,with an area under the curve of 0.934(95% CI=0.900-0.968),a sensitivity of 0.897,and a specificity of 0.882. Conclusions:LAD,GCW,GWW,duration of atrial fibrillation,and type of atrial fibrillation are independent influencing factors for the recurrence of atrial fibrillation. The prediction model based on myocardial work parameters and clinical indicators has good diagnostic efficiency.