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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。

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

作者信息

Gomes Daniel A, Bello Ana Rita, Freitas Pedro, Pereira Joana Certo, Matos Daniel Nascimento, Lopes Pedro, Rodrigues Gustavo, Carmo João, Gama Francisco, Guerreiro Sara, Santos Pedro Galvão, Costa Francisco Moscoso, Ferreira Jorge, Carmo Pedro, Abecasis João, Cavaco Diogo, Morgado Francisco Bello, Ferreira António M, Adragão Pedro

机构信息

Department of Cardiology, Hospital de Santa Cruz, Carnaxide, Lisbon, Portugal.

Department of Cardiology, Hospital da Luz, Lisbon, Portugal.

出版信息

J Cardiovasc Electrophysiol. 2025 Feb;36(2):323-330. doi: 10.1111/jce.16515. Epub 2024 Nov 29.

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.

摘要

背景

左心房(LA)重构在心房颤动(AF)的进展中起重要作用。尽管左心房壁厚度(LAWT)已成为结构重构的一个指标,但其对房颤结局的影响仍不清楚。我们旨在确定LAWT与肺静脉隔离(PVI)后房颤复发之间的关联,并评估LAWT与左心房纤维化之间的关系。

方法

对2016年至2018年纳入射频PVI治疗的患者进行单中心登记。在所有病例中,在消融前48小时内进行CT扫描。通过半自动机器学习方法(ADAS 3D)回顾性测量平均LAWT。一组亚组患者还接受了消融前心脏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±0.2mm(0.9 - 1.9mm)。在中位随访5.8(四分位间距: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素(调整后风险比:4.25 [95%置信区间:1.65 - 10.95],p = 0.003)。随着LAWT增加的三分位数,房颤复发率分别为每年11%、15%和21%(对数秩检验p < 0.001)。此外,在LA结构重构范围内房颤复发率增加,从8%(正常LAWT和左心房容积指数)到30%/年(LAWT和左心房容积指数均增加)。在62例也接受消融前MRI检查的患者中,发现LAWT与纤维化(通过延迟钆增强评估)之间存在中度相关性(Spearman相关系数R 0.468;p < 0.001)。

结论

通过商用机器学习软件易于评估的平均LAWT是PVI后长期房颤复发时间的独立预测因素。LAWT增加的患者是否应接受个体化治疗值得进一步研究。

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