| Autor: |
Yue Wei, Changjian Lin, Yun Xie, Yangyang Bao, Qingzhi Luo, Ning Zhang, Liqun Wu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Frontiers in Cardiovascular Medicine, Vol 10 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2297-055X |
| DOI: |
10.3389/fcvm.2023.1073108 |
| Popis: |
BackgroundFew studies have explored the use of machine learning models to predict the recurrence of atrial fibrillation (AF) in patients who have undergone cryoballoon ablation (CBA). We aimed to explore the risk factors for the recurrence of AF after CBA in order to construct a nomogram that could predict this risk.MethodsData of 498 patients who had undergone CBA at Ruijin Hospital, Shanghai Jiaotong University School of Medicine, were retrospectively collected. Factors such as clinical characteristics and biophysical parameters during the CBA procedure were collected for the selection of variables. Scores for all the biophysical factors—such as time to pulmonary vein isolation (TTI) and balloon temperature—were calculated to enable construction of the model, which was then calibrated and compared with the risk scores.ResultsA 36-month follow-up showed that 177 (35.5%) of the 489 patients experienced AF recurrence. The left atrial volume, TTI, nadir cryoballoon temperature, and number of unsuccessful freezes were related to the recurrence of AF (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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