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利用与电子健康记录数据相关联的数字术中数据预测房颤复发时阻抗下降的效用。

Predictive utility of the impedance drop on AF recurrence using digital intraprocedural data linked to electronic health record data.

作者信息

Coplan Paul, Doshi Amit, Peng Mingkai, Amos Yariv, Amit Mati, Yungher Don, Khanna Rahul, Tsoref Liat

机构信息

MedTech Epidemiology and Real-World Data Sciences, Office of the Chief Medical Officer, Johnson & Johnson, New Brunswick, New Jersey.

Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

出版信息

Heart Rhythm O2. 2024 Feb 2;5(3):174-181. doi: 10.1016/j.hroo.2024.01.006. eCollection 2024 Mar.

Abstract

BACKGROUND

Local impedance drop in cardiac tissue during catheter ablation may be a valuable measure to guide atrial fibrillation (AF) ablation procedures for greater effectiveness.

OBJECTIVE

The study sought to assess whether local impedance drop during catheter ablation to treat AF predicts 1-year AF recurrence and what threshold of impedance drop is most predictive.

METHODS

We identified patients with AF undergoing catheter ablation in the Mercy healthcare system. We downloaded AF ablation procedural data recorded by the CARTO system from a cloud-based analytical tool (CARTONET) and linked them to individual patient electronic health records. Average impedance drops in anatomical region of right and left pulmonary veins were calculated. Effectiveness was measured by a composite outcome of repeat ablation, AF rehospitalization, direct current cardioversion, or initialization of a new antiarrhythmic drug post-blanking period. The association between impedance drop and 1-year AF recurrence was assessed by logistic regression adjusting for demographics, clinical, and ablation characteristics. Bootstrapping was used to determine the most predictive threshold for impedance drop based on the Youden index.

RESULTS

Among 242 patients, 23.6% (n = 57) experienced 1-year AF recurrence. Patients in the lower third vs upper third of average impedance drop had a 5.9-fold (95% confidence interval [CI] 1.81-21.8) higher risk of recurrence (37.0% vs 12.5%). The threshold of 7.2 Ω (95% CI 5.75-7.7 Ω) impedance drop best predicted AF recurrence, with sensitivity of 0.73 and positive predictive value of 0.33. Patients with impedance drop ≤7.2 Ω had 3.5-fold (95% CI 1.39-9.50) higher risk of recurrence than patients with impedance drop >7.2 Ω, and there was no statistical difference in adverse events between the 2 groups of patients. Sensitivity analysis on right and left wide antral circumferential ablation impedance drop was consistent.

CONCLUSION

Average impedance drop is a strong predictor of clinical success in reducing AF recurrence but as a single criterion for predicting recurrence only reached 73% sensitivity and 33% positive predictive value.

摘要

背景

在导管消融过程中心脏组织局部阻抗下降可能是指导心房颤动(AF)消融手术以提高有效性的一项重要指标。

目的

本研究旨在评估导管消融治疗AF期间局部阻抗下降是否能预测1年AF复发情况以及何种阻抗下降阈值最具预测性。

方法

我们在Mercy医疗系统中确定了接受导管消融的AF患者。我们从基于云的分析工具(CARTONET)下载了CARTO系统记录的AF消融手术数据,并将其与个体患者的电子健康记录相关联。计算左右肺静脉解剖区域的平均阻抗下降。有效性通过重复消融、AF再次住院、直流电复律或空白期后开始使用新的抗心律失常药物的综合结果来衡量。通过对人口统计学、临床和消融特征进行调整的逻辑回归评估阻抗下降与1年AF复发之间的关联。基于约登指数,使用自助法确定阻抗下降的最具预测性阈值。

结果

在242例患者中,23.6%(n = 57)经历了1年AF复发。平均阻抗下降处于下三分之一与上三分之一的患者复发风险高5.9倍(95%置信区间[CI] 1.81 - 21.8)(37.0%对12.5%)。7.2Ω(95% CI 5.75 - 7.7Ω)的阻抗下降阈值最能预测AF复发,敏感性为0.73,阳性预测值为0.33。阻抗下降≤7.2Ω的患者复发风险比阻抗下降>7.2Ω的患者高3.5倍(95% CI 1.39 - 9.50),两组患者不良事件无统计学差异。左右宽窦周向消融阻抗下降的敏感性分析结果一致。

结论

平均阻抗下降是降低AF复发临床成功率的有力预测指标,但作为预测复发的单一标准,敏感性仅达到73%,阳性预测值为33%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d7/10980921/113ff2f66b54/gr1.jpg

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