Department of Cardiology, Osaka Rosai Hospital, Sakai, Osaka, Japan.
Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Am J Cardiol. 2021 Feb 15;141:49-55. doi: 10.1016/j.amjcard.2020.11.008. Epub 2020 Nov 18.
Various predictors of atrial fibrillation (AF) recurrence have been shown based on the baseline characteristics before catheter ablation (CA). This study aimed to develop a novel scoring system for predicting very late recurrences of AF (VLRAFs) after an initial CA, taking the postprocedural clinical data into account and reassessing VLRAFs in 12-month patients' condition using previously known preprocedural predictors of AF recurrences. We retrospectively studied 327 patients who underwent an initial CA with freedom from AF for over 12 months. We elucidated the predictors of VLRAFs and created a new score to predict VLRAFs in the discovery AF cohort (n = 181). Thereafter, we investigated whether the new scoring system could accurately predict VLRAFs in the validation AF cohort (n = 146). In the discovery AF cohort, VLRAFs were observed in 53 patients (29%) during the follow-up period (mean follow-up duration: 55 months). The univariate and multivariate Cox proportional-hazards model demonstrated that non-pulmonary vein foci, early recurrences of AF (ERAFs), atrial premature contraction (APC) burden ≥ 142/24 hours, and minimum prematurity index of the APCs ≤ 48% were associated with VLRAFs after CA. We created a new scoring system to predict VLRAFs, the n-PReDCt score (non-pulmonary vein: 1 point, early recurrences of AFs (Recurrences of AF in early phase after CA): 1 point, APC burden ≥ 142/24 hours: 1 point, and minimum prematurity index (= Coupling interval) of the APCs of ≤ 48%: 1 point). The n-PReDCt score was significantly associated with VLRAFs by a Kaplan-Meier analysis in the discovery AF and validation AF cohorts (p < 0.0001 and p < 0.0001, respectively).
已经基于导管消融 (CA) 前的基线特征显示了各种心房颤动 (AF) 复发的预测因素。本研究旨在开发一种新的评分系统,用于预测初始 CA 后 AF 的极晚期复发 (VLRAF),同时考虑术后临床数据,并使用以前已知的 AF 复发预测因素重新评估 12 个月时患者的 VLRAF。我们回顾性研究了 327 名接受初始 CA 且无 AF 超过 12 个月的患者。我们阐明了 VLRAF 的预测因素,并在发现 AF 队列 (n = 181) 中创建了一个新的评分系统来预测 VLRAF。此后,我们研究了新的评分系统是否可以准确预测验证 AF 队列 (n = 146) 中的 VLRAF。在发现 AF 队列中,在随访期间,53 名患者 (29%) 观察到 VLRAF (平均随访时间:55 个月)。单因素和多因素 Cox 比例风险模型表明,非肺静脉病灶、AF 早期复发 (ERAFs)、房性期前收缩 (APC) 负荷≥142/24 小时和 APCs 的最小早熟指数≤48%与 CA 后 VLRAF 相关。我们创建了一个新的评分系统来预测 VLRAF,即 n-PReDCt 评分(非肺静脉:1 分,CA 后早期 AF 复发(AF 早期复发):1 分,APC 负荷≥142/24 小时:1 分,APC 的最小早熟指数 (=Coupling interval) ≤48%:1 分)。n-PReDCt 评分通过发现 AF 和验证 AF 队列中的 Kaplan-Meier 分析与 VLRAF 显著相关(p<0.0001 和 p<0.0001)。