Literature DB >> 24613637

Atrial conduction delay predicts atrial fibrillation in paroxysmal supraventricular tachycardia patients after radiofrequency catheter ablation.

Zhen-Xing Xu1, Jing-Quan Zhong2, Wei Zhang1, Xin Yue1, Bing Rong1, Qing Zhu1, Zhaotong Zheng1, Yun Zhang1.   

Abstract

This study aimed to assess whether intra- and inter-atrial conduction delay could predict atrial fibrillation (AF) for paroxysmal supraventricular tachycardia (PSVT) patients after successful treatment by radiofrequency catheter ablation (RFCA). Echocardiography examination was performed on 524 consecutive PSVT patients (15 patients were excluded). Left atrial dimension, right atrial diameter and intra- and inter-atrial conduction delay were measured before ablation. Patients were divided into group A (n = 32): occurrence of AF after the ablation and group B (n = 477): remained in sinus rhythm during follow-up. Receiver operating characteristic (ROC) curve analysis was performed to estimate the predictive value of intra- and inter-atrial conduction delay. Both intra- and inter-atrial conduction delay were higher in group A than in group B (4.79 ± 0.30 msec vs. 4.56 ± 0.32 msec; 21.98 ± 1.32 msec vs. 20.01 ± 1.33; p < 0.05). Binary logistic regression analysis showed that intra- and inter-atrial conduction were significant influential factors for the occurrence of AF (odds ratio [OR] = 13.577, 95% confidence interval [CI], 3.469-48.914; OR = 2.569, 95% CI, 1.909-3.459, p < 0.05). The ROC cure analysis revealed that intra-atrial conduction delay ≥ 4.45 msec and inter-atrial conduction delay ≥ 20.65 were the most optimal cut-off value for predicting AF in PSVT patients after RFCA. In conclusion, this is the first study to show that the intra- and inter-atrial conduction delay could effectively predict AF in post-ablation PSVT patients.
Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ablation; Atrial conduction delay; Atrial fibrillation; Atrial vulnerability; Paroxysmal supraventricular tachycardia

Mesh:

Year:  2014        PMID: 24613637     DOI: 10.1016/j.ultrasmedbio.2014.01.006

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  2 in total

1.  Correlation between increased atrial expression of genes related to fatty acid metabolism and autophagy in patients with chronic atrial fibrillation.

Authors:  Yasushige Shingu; Shingo Takada; Takashi Yokota; Ryosuke Shirakawa; Akira Yamada; Tomonori Ooka; Hiroki Katoh; Suguru Kubota; Yoshiro Matsui
Journal:  PLoS One       Date:  2020-04-21       Impact factor: 3.240

2.  An abnormal left ventricular-atrial perforation after radiofrequency catheter ablation: a case report.

Authors:  Tingting Tao; Junnan Zheng; Hongfei Xu; Yiming Ni
Journal:  J Cardiothorac Surg       Date:  2019-11-04       Impact factor: 1.637

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.