Predictive value of rs2200733 polymorphism for atrial fibrillation recurrence after radiofrequency catheter ablation
10.16571/j.cnki.1008-8199.2019.07.013
- VernacularTitle: rs2200733多态性对心房颤动射频消融术后复发的预测价值
- Author:
Yan CHENG
1
;
Ku-lin LI
1
;
Jie ZHENG
1
;
Xiao-yu LIU
1
;
Chang-ying ZHANG
1
;
Shi-peng DANG
1
;
Zong-bin LI
1
;
Xiao-xi ZHAO
1
;
Zhi-ming YU
1
;
Ru-xing WANG
1
Author Information
1. Department of Cardiology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi 214023, Jiangsu, China
- Publication Type:Journal Article
- Keywords:
atrial fibrillation;
catheter ablation;
genetics
- From:
Journal of Medical Postgraduates
2019;32(7):734-739
- CountryChina
- Language:Chinese
-
Abstract:
Objective The recurrence rate of atrial fibrillation (AF) after radiofrequency catheter ablation (RFCA) remains relatively high. The aim of this study was to investigate the predictive value of rs2200733 polymorphism for AF recurrence after RFCA. Methods Fifty-three AF patients underwent RFCA guided by the magnetic navigation system between July 2015 and September 2016 in Wuxi People’s Hospital. We obtained the baseline data on the patients, conducted genotyping for rs2200733 variants, and followed up the patients for symptoms and complications by electrocardiography (ECG) and dynamic ECG. Using Cox survival analysis, we determined the independent predictors of AF recurrence after RFCA and the sensibility and specificity of predicting AF recurrence at 12 and 24 months post-operatively. Results All the patients were Han Chinese, followed-up for 21.6 ± 9.5 months, and 25 (47.2%) of them experienced AF recurrence at 6.6 ± 5.3 months after RFCA. Kaplan-Meier survival analysis revealed a significant association between rs2200733 polymorphism and AF recurrence in the additive and recessive models (P < 0.001), and multivariate Cox analysis showed the rs2200733 polymorphism (recessive model) to be an independent predictor of post-RFCA AF recurrence (OR = 3.184, 95% CI: 1.378-7.357, P = 0.007). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of rs2200733 TT in predicting AF recurrence at 12 months were 64%, 81%, 70%, 76% and 74%, and those at 24 months were 60%, 82%, 75%, 70%, and 72%, respectively. Conclusion The rs2200733 polymorphism is an independent predictor of AF recurrence after RFCA, and its high specificity indicates that it could be used as a tool for screening Han Chinese patients with AF for RFCA.
