Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

IF 2.3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Daniel A Gomes, Ana Rita Bello, Pedro Freitas, Joana Certo Pereira, Daniel Nascimento Matos, Pedro Lopes, Gustavo Rodrigues, João Carmo, Francisco Gama, Sara Guerreiro, Pedro Galvão Santos, Francisco Moscoso Costa, Jorge Ferreira, Pedro Carmo, João Abecasis, Diogo Cavaco, Francisco Bello Morgado, António M Ferreira, Pedro Adragão
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引用次数: 0

Abstract

Background: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aimed to determine the association between LAWT and AF recurrence after pulmonary vein isolation (PVI), as well as to evaluate the relationship between LAWT and LA fibrosis.

Methods: Single-center registry of patients enrolled for radiofrequency PVI from 2016 to 2018. In all cases, a pre-ablation CT was performed within less than 48 h. Mean LAWT was retrospectively measured by a semi-automated machine learning method (ADAS 3D). A subgroup of patients also underwent pre-ablation cardiac MRI. The primary endpoint was time to AF recurrence after a 3-month blanking period.

Results: A total of 439 patients (mean age 61 ± 12 years, 62% male, 78% with paroxysmal AF) were included. The mean LAWT was 1.4 ± 0.2 mm (0.9-1.9 mm). During a median follow-up of 5.8 (IQR: 4.9-6.6) years, 238 patients (54%) had an AF relapse. After adjusting for 8 clinical and imaging potential confounders, LAWT remained an independent predictor of time-to-recurrence (aHR: 4.25 [95% CI: 1.65-10.95], p = 0.003). AF recurrence rates were 11%, 15%, and 21%/year across terciles of increasing LAWT (log-rank p < 0.001). Additionally, the AF recurrence rate increased across the spectrum of LA structural remodeling, ranging from 8% (normal LAWT and LAVI) to 30%/year (LAWT and LAVI both increased). In the 62 patients who also underwent pre-ablation MRI, a moderate relationship between LAWT and fibrosis (assessed by late-gadolinium enhancement) was found (Spearman R 0.468; p < 0.001).

Conclusion: Mean LAWT, easily assessed by commercially available machine learning software, is an independent predictor of time to AF recurrence after PVI in the long term. Whether patients with increased LAWT should receive tailored therapy deserves further investigation.

通过机器学习方法测量的左心房壁厚度可预测肺静脉隔离术后房颤复发。
背景:左房(LA)重构在房颤(AF)的进展中起重要作用。虽然LA壁厚度(LAWT)已成为结构重塑的指标,但其对房颤结局的影响尚不清楚。我们的目的是确定LAWT与肺静脉隔离(PVI)后房颤复发之间的关系,以及评估LAWT与LA纤维化之间的关系。方法:对2016年至2018年接受射频PVI治疗的患者进行单中心登记。所有病例均在48小时内进行预消融CT检查。采用半自动机器学习方法(ADAS 3D)回顾性测量平均LAWT。一个亚组患者也接受了消融前心脏MRI检查。主要终点是3个月空白期后房颤复发的时间。结果:共纳入439例患者(平均年龄61±12岁,男性62%,阵发性房颤78%)。平均LAWT为1.4±0.2 mm (0.9-1.9 mm)。在中位随访5.8 (IQR: 4.9-6.6)年期间,238例患者(54%)发生房颤复发。在调整了8个临床和影像学潜在混杂因素后,LAWT仍然是复发时间的独立预测因子(aHR: 4.25 [95% CI: 1.65-10.95], p = 0.003)。结论:平均LAWT可以通过市售的机器学习软件轻松评估,是PVI术后AF复发时间的长期独立预测因子。LAWT升高的患者是否应该接受量身定制的治疗值得进一步研究。
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来源期刊
CiteScore
5.20
自引率
14.80%
发文量
433
审稿时长
3-6 weeks
期刊介绍: Journal of Cardiovascular Electrophysiology (JCE) keeps its readership well informed of the latest developments in the study and management of arrhythmic disorders. Edited by Bradley P. Knight, M.D., and a distinguished international editorial board, JCE is the leading journal devoted to the study of the electrophysiology of the heart.
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