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Model for predicting the recurrence of atrial fibrillation after monopolar or bipolar radiofrequency ablation in patients with AF and mitral valve disease.
Si, Wei; Teng, Peng; Ma, Liang.
Affiliation
  • Si W; Department of Cardiovascular Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Teng P; Department of Cardiovascular Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Ma L; Department of Cardiovascular Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. ml1402@zju.edu.cn.
J Cardiothorac Surg ; 19(1): 290, 2024 May 16.
Article de En | MEDLINE | ID: mdl-38750504
ABSTRACT

OBJECTIVES:

This study aimed to identify the risk factors for postoperative atrial fibrillation in patients with valvular atrial fibrillation, and establish predictive models of atrial fibrillation recurrence.

METHODS:

Overall, 224 patients who underwent radiofrequency ablation of atrial fibrillation from November 2014 to November 2020 were included. The statistical package for social sciences, X-tile, and R-studio were used for statistical analysis.

RESULTS:

Patients were divided into training and validation sets according to a ratio of 31. The training set was analysed using univariate and multivariate Cox regression analysis and showed that preoperative uric acid > 401 µmol/L (P = 0.006), B-type natriuretic peptide > 202 ng/L (P = 0.042), hypersensitivity C-reactive protein > 6.1 mg/L (P = 0.026), erythrocyte sedimentation rate > 7.0 mm/h (P = 0.016), preoperative left atrial diameter > 48 mm (P = 0.031) were significantly correlated with the recurrence of atrial fibrillation after radiofrequency ablation in patients with valvular atrial fibrillation. In the training set, a Cox regression model of the five related factors was established using the R language. The C-index of the model was 0.82, and the area under the receiver operating characteristic curve was 0.831 (P < 0.001). Internal and external verification was performed in the training and validation sets, respectively, and both showed that the fit of the verification curve was relatively good at 3 months, 6 months, 1 year, and 3 years postoperatively. After calculating the weight of each related factor using the nomogram, a new risk predictive model (BLUCE) for postoperative atrial fibrillation was established.

CONCLUSIONS:

In patients with atrial fibrillation, preoperative uric acid, B-type natriuretic peptide, hypersensitivity C-reactive protein, erythrocyte sedimentation rate, and left atrial diameter are risk factors for atrial fibrillation or atrial flutter recurrence after radiofrequency ablation. The BLUCE predictive model can distinguish high-risk groups of postoperative atrial fibrillation. High-risk patients in the BLUCE model were more likely to experience recurrence of atrial fibrillation after radiofrequency ablation and a low possibility of maintaining sinus rhythm.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Récidive / Fibrillation auriculaire / Ablation par cathéter / Valvulopathies / Valve atrioventriculaire gauche Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: J Cardiothorac Surg / J. cardiothorac. surg. (Online) / Journal of cardiothoracic surgery (Online) Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Récidive / Fibrillation auriculaire / Ablation par cathéter / Valvulopathies / Valve atrioventriculaire gauche Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: J Cardiothorac Surg / J. cardiothorac. surg. (Online) / Journal of cardiothoracic surgery (Online) Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni