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A prediction model based on functional mitral regurgitation for the recurrence of paroxysmal atrial fibrillation(PAF) after post-circular pulmonary vein radiofrequency ablation (CPVA)
  • +4
  • Jingyu Sheng,
  • Zhenni Yang,
  • min Xu,
  • Jun Meng,
  • Mingxia Gong,
  • yuxia Miao,
  • Ling Yang
Jingyu Sheng
Department of Electrocardiography Wujin Hospital Affiliated with Jiangsu University The Wujin Clinical college of Xuzhou Medical University Changzhou China

Corresponding Author:shengjingyu@163.com

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Zhenni Yang
Changzhou First People's Hospital
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min Xu
Changzhou First People's Hospital
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Jun Meng
Changzhou First People's Hospital
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Mingxia Gong
Changzhou First People's Hospital
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yuxia Miao
Changzhou First People's Hospital
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Ling Yang
Changzhou First People's Hospital
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Abstract

【Abstract】Aim To construct a prediction model based on functional mitral regurgitation (FMR) in patients with paroxysmal atrial fibrillation (PAF) for predicting atrial fibrillation recurrence after the post-circular pulmonary vein radiofrequency ablation (CPVA). Methods We retrospectively analyzed 289 patients with PAF who underwent CPVA for the first time . The patients were randomly divided into modeling group and verification group at the ratio of 75:25. In the modeling group, the multivariate logistic regression was used to analyze and construct a prediction model for post-CPVA recurrence in PAF patients, which was then validated in the verification group. Results (1) After 3-6 months of follow-up, the patients were divided into sinus rhythm group (252 cases) and recurrence group (24 cases); (2) In the modeling group, the age, LAD(left atrial diameter) and degree of MR (mild, moderate, severe) were higher in recurrence group than that of the sinus rhythm group, and the left atrial appendage emptying velocity (LAAV) was lower in recurrence group (all P<0.05). (3) A model for predicting the recurrence of PAF after radiofrequency ablation was constructed in the modeling group. The equation was: Logit(P) = -3.253 + 0.092 × age + 1.263 × mild MR + 2.325 × moderate MR + 5.111 ×severe MR - 0.113 × LAAV. The area under the curve (AUC) of the model was 0.889 in modeling group and 0.866 in verification group, and the difference was not statistically significant ( P>0.05). Conclusion: The prediction model of atrial fibrillation (AF) recurrence after CPVA in PAF patients has good predictive efficacy, high specificity and accuracy.
20 Apr 2022Submitted to Echocardiography
20 Apr 2022Submission Checks Completed
20 Apr 2022Assigned to Editor
24 Apr 2022Reviewer(s) Assigned
01 Jun 2022Review(s) Completed, Editorial Evaluation Pending
06 Jun 2022Editorial Decision: Revise Major
15 Jul 20221st Revision Received
23 Jul 2022Submission Checks Completed
23 Jul 2022Assigned to Editor
31 Jul 2022Reviewer(s) Assigned
16 Aug 2022Review(s) Completed, Editorial Evaluation Pending
30 Aug 2022Editorial Decision: Revise Minor
19 Sep 20222nd Revision Received
19 Sep 2022Submission Checks Completed
19 Sep 2022Assigned to Editor
19 Sep 2022Reviewer(s) Assigned
06 Oct 2022Review(s) Completed, Editorial Evaluation Pending
08 Oct 2022Editorial Decision: Accept