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SYSTEMATIC REVIEW article

Front. Physiol., 17 January 2019
Sec. Computational Physiology and Medicine
This article is part of the Research Topic Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches View all 28 articles

Clinical Implications of Unmasking Dormant Conduction After Circumferential Pulmonary Vein Isolation in Atrial Fibrillation Using Adenosine: A Systematic Review and Meta-Analysis

  • 1Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China
  • 2Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
  • 3Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
  • 4Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China

Purpose: Circumferential pulmonary vein isolation (CPVI) is a routine ablation strategy of atrial fibrillation (AF). The adenosine test can be used to unmask dormant conduction (DC) of pulmonary veins after CPVI, thereby demonstrating possible pulmonary vein re-connection and the need for further ablation. However, whether adenosine test could help improve the long term successful rate of CPVI is still controversial. This systemic review and meta-analysis was to determine the clinical utility of the adenosine test.

Methods: PubMed, EMBASE, Web of Science and Cochrane Library database were searched through July 2016 to identify relevant studies using the keywords “dormant pulmonary vein conduction,” “adenosine test,” “circumferential pulmonary vein isolation,” and “atrial fibrillation.” A random-effects model was used to compare pooled outcomes and tested for heterogeneity.

Results: A total of 17 studies including 5,169 participants were included in the final meta-analysis. Two groups of comparisons were classified: (1) Long-term successful rate in those AF patients underwent CPVI with and without adenosine test [Group A (+) and Group A (−)]; (2) Long-term successful rate in those patients who had adenosine test with and without dormant conduction [Group DC (+) and Group DC (−)]. The overall meta-analysis showed that no significant difference can be observed between Group A (+) and Group A (−) (RR 1.08; 95% CI 0.97–1.19; P = 0.16; I2 = 66%) and between Group DC (+) and Group DC (−) (RR 1.01; 95% CI 0.91–1.12; P = 0.88; I2 = 60%).

Conclusion: Pooled meta-analysis suggested adenosine test may not improve long-term successful rate in AF patients underwent CPVI. Furthermore, AF recurrence may not be decreased by eliminating DC provoked by adenosine, even though adenosine test was applied after CPVI.

Introduction

Atrial fibrillation (AF) is a common cardiac arrhythmia, placing a significant burden on healthcare systems worldwide. It has been estimated that 33.5 million people suffering from AF with an increasing prevalence partly attributable to an aging population (Thacker et al., 2013; Chugh et al., 2014). Because pulmonary veins (PVs) are often the triggering sites for initiating and maintaining AF, circumferential PV isolation (CPVI) has been cornerstone of catheter ablation strategy to restore sinus rhythm for AF (Haïssaguerre et al., 2000; Jaïs et al., 2008; Kirchhof et al., 2017). Although feasibility and visibility of the three-dimensional electroanatomic mapping system have been improved, AF recurrence remains a problem due to PV reconnection after CPVI ablation (Ouyang et al., 2005). A study suggested that 20% of AF patients required repeat procedures after a median follow-up of 13 months (Hocini et al., 2005). Previous studies have suggested that PV re-connection can be identified by unmasking dormant conductions (DCs) induced by adenosine (Arentz et al., 2004; Theis et al., 2015; Ghanbari et al., 2016). The adenosine test has been used extensively to identify DCs (Arentz et al., 2004). The mechanism is thought to involve hyperpolarization of the membrane potential of dormant PVs by activating the IKAdo inward rectifier current, which would transiently establish PV reconnection (Datino et al., 2010).

A recent systematic review and meta-analysis has demonstrated a positive outcome on assessment and ablation of dormant conduction (McLellan et al., 2013). However, some of the enrolled studies were based on segmental ablation strategy. Moreover, many studies suggested that whether DCs are associated with high rate of AF recurrence or adenosine test can improve clinical outcome of PVI remains controversial (Elayi et al., 2013; Kobori et al., 2015; Theis et al., 2015; Ghanbari et al., 2016; Kim et al., 2016). Several investigators have attempted to use the appearance of DCs as indication of further ablation using adenosine test after PVI for AF ablation, while results were restricted by low number of participants (McLellan et al., 2013). Therefore, if adenosine test will help to improve ablation success rates after CPVI remains controversial. We conducted this systematic review and meta-analysis to determine the clinical significance of unmasking DCs after CPVI based on long-term follow up using adenosine test as the guidance of extra ablation for AF patients.

Methods

Search Strategy

The databases Pubmed, EMBASE, Web of Science and Cochrane library were searched using searching terms and related items including keywords “dormant pulmonary vein conduction,” “adenosine test,” “circumferential pulmonary vein isolation,” and “atrial fibrillation.”

Inclusion and Exclusion Criteria

The inclusion criteria were limited to articles published in English, involving human subjects of adult age, and published between 2010 and 2016. The exclusion criteria were: (1) ablation for non-AF patients; (2) no adenosine test used; (3) studies including fewer than 90 participants; (4) follow-up period <12 months; (5) CPVI was not used for AF ablation; (6) articles that were case reports, reviews and meta-analyses.

Study Selection

Data from the different studies were entered in pre-specified spreadsheet in Microsoft Excel. All potentially relevant reports were retrieved as complete manuscripts and assessed for compliance with the inclusion criteria. Two reviewers (C.C. and D.L.) independently reviewed each included study and disagreements were resolved by adjudication with input from a third reviewer (Y.X.). Records matching searching goal were enrolled.

Data Analysis

The meta-analysis was performed using Review Manager (RevMan 5. 3, Cochrane Collaboration, Oxford, UK). Relative risk (RR) values with 95% confidence intervals (CI) were calculated. Categorical variables were pooled using the Mantel-Hanseal method. The I2 statistic from the standard chi-square test (χ2), which describes the percentage of the variability in effect estimates resulting from heterogeneity. A fixed effect model was used if I2 ≤ 0.25, otherwise the random effect model was used (Higgins and Green, 2011). P-value < 0. 05 (two-tailed) was considered statistical significant.

Quality Assessment

We used the modified Newcastle-Ottawa scale for quality assessment of non-randomized trials and the methodological quality of RCTs was assessed by the components recommended by the Cochrane Collaboration (Higgins and Green, 2011). The quality of each trial except RCTs was quantified by a score of 0–9.

Results

Search Results and Study Characteristics

A flow diagram detailing the above search terms with inclusion and exclusion criteria is shown in Figure 1. A total of 4,669 records were identified from Pubmed, EMBASE, Web of Science and Cochrane Library databases. Of these, 17 studies met the inclusion criteria and were included in the final meta-analysis (Kumagai et al., 2010; Matsuo et al., 2010; Miyazaki et al., 2012; Van Belle et al., 2012; Cheung et al., 2013; Elayi et al., 2013; Kaitani et al., 2014; Zhang et al., 2014; Compier et al., 2015; Kobori et al., 2015; Kumar et al., 2015; Lin et al., 2015; Macle et al., 2015; Ghanbari et al., 2016; Kim et al., 2016; Tebbenjohanns et al., 2016). Twelve were prospective studies (Matsuo et al., 2010; Van Belle et al., 2012; Elayi et al., 2013; Kaitani et al., 2014; Compier et al., 2015; Kobori et al., 2015; Kumar et al., 2015; Lin et al., 2015; Macle et al., 2015; Theis et al., 2015; Ghanbari et al., 2016; Kim et al., 2016), four were retrospective studies (Kumagai et al., 2010; Matsuo et al., 2010; Miyazaki et al., 2012; Zhang et al., 2014) and four were randomized controlled trials (RCTs) (Kobori et al., 2015; Macle et al., 2015; Theis et al., 2015; Ghanbari et al., 2016). One study used prospective participants as a study group and retrospective cohort as control group (Tebbenjohanns et al., 2016). A total of 5,169 participants were included.

FIGURE 1
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Figure 1. Flow diagram of the study selection process.

These studies used selective venography or 3-dimensional Electroanatomical Mapping System (including CARTO, Ensite NavX) to identify the PV antrum and subsequently performed CPVI. In four studies, PVI was guided by cryoballoon (second generation cryoballoon, CB-2G) (Van Belle et al., 2012; Compier et al., 2015; Kumar et al., 2015; Tebbenjohanns et al., 2016). The endpoint of electrophysiological study was the presence of entrance block defined by the circular mapping catheter (Lasso, Biosense Webster) or the elimination of all PV potentials or establishment of a bidirectional conduction block between left atrium (LA) and PVs. All participants underwent further ablation if DCs was induced. Two studies described the additional use of superior vena cava isolation (Compier et al., 2015; Kumar et al., 2015).

In this meta-analysis, we supposed to determine: (1) if adenosine test would help to increase the success rate of PVI; and (2) furthermore, if DCs induced by adenosine play an important role in AF recurrence after CPVI. Hence, in the first part, Group A (+) and Group A (−) were divided according to whether adenosine was administrated or not. And in the second part, Group DC (+) and Group DC (−) were divided according to whether the DCs appeared or not after adenosine administration. All of DCs induced by adenosine test in Group A (+) and Group DC (+) patients were eliminated after CPVI. The baseline characteristics of these studies are listed in Table 1, and those of procedure parameter are shown in Table 2. Quality assessment of the included studies was made using the Newcastle–Ottawa Scale for non-randomized case–control studies and the Cochrane Collaboration's tool for randomized trials (Table 3).

TABLE 1A
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Table 1A. Basic information and operation details in Group A (+) and Group A (−).

TABLE 1B
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Table 1B. Baseline information in Group A (+) and Group A (−).

TABLE 2A
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Table 2A. Basic information and operation details in Group DC (+) and Group DC (−).

TABLE 2B
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Table 2B. Baseline information in Group DC (+) and Group DC (−).

TABLE 3A
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Table 3A. Assessment of the quality of included studies in Group A (+) and Group A (−)*.

TABLE 3B
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Table 3B. Assessment of the quality of included studies in Group DC (+) and Group DC (−)*.

Long-term Success Rate of PVI Between Group A (+) and Group A (−)

The pooled meta-analysis demonstrated that there was no significant difference in freedom from recurrent AF between Group A (+) and Group A (−) (RR = 1.08, 95% CI: 0.97–1.19, P = 0.16, I2 = 66%; Figure 2). A funnel plot plotting standard errors against the logarithms of the RR are shown in Figure 3, demonstrating no significant publication bias.

FIGURE 2
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Figure 2. Forest plot comparing long-term success rates of PVI between Group A (+) and Group A (−).

FIGURE 3
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Figure 3. Funnel plot of standard errors against logarithms of odds ratios for studies comparing long-term success rates of PVI between Group A (+) and Group A (−).

Long-term Success Rate of PVI Between Group DC (+) and Group DC (−)

No significant difference was observed between Group DC (+) and Group DC (−) with a pooled RR of 1.01 (95% CI: 0. 91–1.12; P = 0. 88; I2 = 60%; Figure 4). A funnel plot plotting standard errors against the logarithms of the RR are shown in Figure 5, demonstrating no significant publication bias.

FIGURE 4
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Figure 4. Forest plot comparing long-term PVI success rate between Group DC (+) and Group DC (−).

FIGURE 5
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Figure 5. Funnel plot of standard errors against logarithms of odds ratios of studies comparing long-term PVI success rate between Group DC (+) and Group DC (−).

Subgroup Analyses

Additional subgroup analyses were performed for radiofrequency catheter ablation (RFCA) and CB-2G catheter ablation for PVI in Group A (+) and Group A (−). For RFCA, no difference in success rate was observed in Group A (+) and Group A (−) for patients with a RR of 1.02 (95% CI: 0.89–1.17; P = 0.80; Figure 6), which was accompanied by significant heterogeneity (I2 = 73%). Similarly, for CB-2G, success rates for those who underwent adenosine testing (n = 134) were not significantly different from those who did not have such a test (n = 212), with a pooled RR of 1.18 (95% CI = 0. 99–1.42; P = 0.07; Figure 7) with significant heterogeneity (I2 = 62%).

FIGURE 6
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Figure 6. Subgroup analysis for CPVI.

FIGURE 7
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Figure 7. Subgroup analysis for CB-2G.

Sensitivity Analysis

Sensitivity analysis included study design and adenosine test, and none of them showed significant interference with study outcomes. Results are shown in Table 4.

TABLE 4
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Table 4. Results of sensitivity analysis.

Discussion

Adenosine testing after AF ablation procedures has been widely adopted for demonstrating DCs, which are further ablated to reduce AF recurrence rates (Hocini et al., 2005). However, in our study, the result of pooled meta-analysis suggested that adenosine test may not help to reduce the long-term AF recurrence after CPVI, and further subgroup analysis also confirmed the result. Some recent studies also suggested negative result of adenosine test based on CPVI (Theis et al., 2015; Ghanbari et al., 2016). The reason might be explained by the mechanism of PVI re-connection after CPVI ablation dose not totally attributed by DCs (Linz et al., 2018). Potential mechanisms of AF recurrence after CPVI may due to failure of trans-mural injury of PVAs (Rostock et al., 2006), heterogeneity of myocardial sleeves extending into the pulmonary veins (Ho et al., 2001) or so on. As a consequence, the necessity and applicability of adenosine test diminished in the context of CPVI adoption ablation strategy and Whether other techniques, such as pacing along the PVI line by the distal tip of the ablation catheter to identify viable myocardium or potential gaps (Schaeffer et al., 2015) improves PVI outcome should be investigated in the future.

However, a recent meta-analysis has shown that long-term success rates of PVI were improved by further eliminating DCs that have been identified by adenosine test for patients underwent segmental ablation for AF (McLellan et al., 2017). The discrepancy results with the results of the previous meta-analysis (McLellan et al., 2017) may due to improved ablation strategies (Ouyang et al., 2004). The 3-dimensional Electroanatomical Mapping System for RFA provides better visualization and reduce the need for excessive ablation (Ouyang et al., 2004). Ablation strategies based on CPVI ablation, instead of segmental ablation, were comprehensively adopted for AF patients either paroxysmal AF or persistent AF, leading to better AF control in the long-term (Gepstein et al., 1997). Previous studies had shown that segmental ablation was inferior to long term treatment compared with CPVI, and leads to more complications, such as pulmonary stenosis (Oral et al., 2003). Additionally, cryo-application offers spherical contact with the PV autrum (PVA), guided by annular Achieve catheter and vasography, provided CPVI by the single-shot technique (Nakagawa et al., 2007). Consequently, modifying skills and appliances, meaningful of adenosine administration may have diminished the need for AF re-ablation.

Complications arising from ablating DCs could further contribute to the lack of efficacy. For example, excessive ablation creates scarring of the atrial myocardium, which can serve as substrates for re-entry (Pappone et al., 2004; Tse et al., 2016). Indeed, a previous study compared anatomically guided CPVI with wide atrial ablation, demonstrating that the latter approach significantly increased the likelihood of micro-reentry ablation by producing areas of conduction slowing and block (Hocini et al., 2005). Moreover, we found that fluoroscopic time and procedure time were prolonged due to adenosine administration.

Limitations

This systematic review and meta-analysis has several potential limitations. There was moderate heterogeneity across the included studies, which may be due to the following factors. Firstly, differences in study participants between each study especially the types of AF, and in detection criteria were observed. Secondly, several studies have used additional methods during adenosine testing for provoking DCs, such as isoproterenol administration during adenosine test. Thirdly, the dose of adenosine, administration method and procedure (such as waiting period after adenosine) used to unmask dormant conduction was not uniform, this may affect the clinical outcomes. Fourthly, the successful rate of PVI may vary across medical centers due to variation in technical competencies, skills, and outcome measures. As such, the readers are advised to interpret the findings carefully. Nevertheless, funnel plot analysis revealed no significant publication bias. RCTs on CB-2G did not include a high number of participants and additional clinical trials are needed to confirm these findings.

Conclusions

In conclusion, regular adoption of adenosine test could not further improve PVI success rate basing on long-term observation and elimination of DCs provoked by adenosine after CPVI did not significantly reduce AF recurrence after catheter ablation.

Author Contributions

YX conceived and designed the study. YX and GT guided the study. CC and DL searched and screened studies independently and disagreements were resolved by adjudication with input from YX. XL, ZW, YL, and FZ helped finished the figures and tables. CC, DL, and GT finished the manuscript writing. JH and TL helped to refine the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The handling editor is currently editing co-organizing a Research Topic with one of the authors GT, and confirms the absence of any other collaboration.

Abbreviations

AF, atrial fibrillation; CPVI, circumferential pulmonary vein isolation; PVI, pulmonary vein isolation; DC, dormant conduction; PVs, pulmonary veins

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Keywords: adenosine, dormant conduction, atrial fibrillation, circumferential pulmonary vein isolation, meta-analysis

Citation: Chen C, Li D, Ho J, Liu T, Li X, Wang Z, Lin Y, Zou F, Tse G and Xia Y (2019) Clinical Implications of Unmasking Dormant Conduction After Circumferential Pulmonary Vein Isolation in Atrial Fibrillation Using Adenosine: A Systematic Review and Meta-Analysis. Front. Physiol. 9:1861. doi: 10.3389/fphys.2018.01861

Received: 30 November 2017; Accepted: 11 December 2018;
Published: 17 January 2019.

Edited by:

Jichao Zhao, The University of Auckland, New Zealand

Reviewed by:

Arun V. Holden, University of Leeds, United Kingdom
Kumari Sonal Choudhary, University of California, San Diego, United States

Copyright © 2019 Chen, Li, Ho, Liu, Li, Wang, Lin, Zou, Tse and Xia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gary Tse, tseg@cuhk.edu.hk
Yunlong Xia, yunlong_xia@126.com

These authors share first authorship

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