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Record W2118872938 · doi:10.1093/eurheartj/ehu443

Oral anticoagulation after catheter ablation of atrial fibrillation: caught in the attribution trap?

2014· letter· en· W2118872938 on OpenAlexaff
Paulus Kirchhof, Yanish Purmah, Atul Verma

Bibliographic record

VenueEuropean Heart Journal · 2014
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSouthlake Regional Health Center
FundersBritish Heart Foundation
KeywordsMedicineAtrial fibrillationAblationCatheter ablationStroke (engine)Ablation of atrial fibrillationCardiologySurgeryInternal medicineCohortCatheter

Abstract

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This editorial refers to ‘Oral anticoagulation therapy after radiofrequency ablation of atrial fibrillation and the risk of thromboembolism and serious bleeding: long-term follow-up in nationwide cohort of Denmark’†, by D. Karasoy et al., on page 307. Catheter ablation procedures are performed in ∼5-10% of patients suffering from atrial fibrillation (AF).1–3 While the main reason for undertaking AF ablation is because the patient is suffering from symptomatic AF, those who undergo AF ablation are younger and ‘generally healthier’ than patients who do not undergo ablation treatment,4–6 as reflected by lower stroke risk scores, but also driven by confounders that will inform the clinical decision to submit a patients to catheter ablation procedures. Manipulation in the left atrium, wound healing, and scar formation in the atria, along with other factors, generate a thrombogenic milieu in the atria of patients undergoing AF ablation. Therefore, all ablation patients require continuous oral anticoagulation during and for at least 3 months after an AF ablation procedure. The indication for long-term anticoagulation should be based on clinical stroke risk factors thereafter.7,8 Karasoy and colleagues have now reported on a cohort of 4050 patients (59.5 years, 74% men) who underwent a first catheter ablation for AF in Denmark from 2000 to 2011.6 Approximately half of the patients had clinically documented AF recurrence (measured by hospitalization or reablation) and each patient received 1.5 AF ablation procedures on average, very much in line with published outcomes after catheter ablation. The authors furthermore analysed thrombo-embolic events [(ischaemic stroke, transient ischaemic attack (TIA), and peripheral artery embolism] and severe bleeding events in this cohort over a mean follow-up time of >3 years. This information is valuable because of the comprehensive capture of information in a population-based sample. Consistent with other data,9 early thrombo-embolic events after ablation were common (20 thrombo-embolic events in the first 2 weeks after the first ablation, corresponding to an estimated yearly incidence of 12.9% per year; figure 2 in Karasoy et al.6). It is conceivable that changes in practice, e.g. continued oral anticoagulation during AF ablation procedures,7,8 prevent some ischaemic strokes during AF ablation.10 Clearly, there is an unmet need to better protect the brain against ischaemic damage during AF ablation.11 Hypothetical rates of ischaemic stroke in patients with atrial fibrillation (AF), in patients with and without catheter ablation, based on the unproven assumption post-ablation stroke risk is reduced. The black line shows the stroke rate of general AF patients; the red line the stroke rate in anticoagulated AF patients (65-70% reduction in stroke). The dark blue line illustrates a hypothetical stroke rate in AF patients undergoing AF ablation but not receiving long-term anticoagulation, assuming that the procedure (i) induces periprocedural strokes and (ii) reduces long-term stroke risk. The light blue line illustrates a hypothetical stroke rate in AF patients undergoing AF ablation and receiving anticoagulation. The grey triangle suggests the threshold for oral anticoagulation, weighing up stroke and bleeding risk. It is worthwhile to note that this threshold may be different depending on the bleeding risk induced by the anticoagulant of choice. Half of the patients received oral anticoagulation for at least 1 year after catheter ablation, including patients without a clear indication for continued anticoagulation (56% of CHA2DS2VASC = 0 patients, 67% of CHA2DS2VASC = 1 patients8). As expected, bleeding events were higher in patients who remained on anticoagulation after AF ablation [hazard ratio (HR) 2.05; figure 4 in Karasoy et al.6]. There were 103 clinically documented thrombo-embolic events during follow-up (annualized rate 0.8%, wide confidence intervals), numerically a bit lower than expected. In part, this lower rate is probably explained by the low intensity follow-up, where patients with ‘subclinical’ strokes and TIAs that are managed as outpatients or not brought to medical attention will not be captured on national databases, while controlled trials will pick up such events. Furthermore, permanent ‘silent brain emboli’ which are found in AF12 and can be triggered by catheter ablation9 are not reflected in this analysis, although they may contribute to cognitive decline.9 Nonetheless, the stroke rate in a matched cohort of Danish patients receiving cardioversions or antiarrhythmic drug therapy during the same period was higher (1.77% per year). Our hypothetical figure summarizes these observation in a speculative manner (Figure 1). In short, we do not know the answer to this question, and only properly planned and conducted interventional trials can reveal this. Patients who discontinued oral anticoagulation in the study of Karasoy et al. had numerically more thrombo-embolic events compared with those who continued anticoagulation (HR 1.42, wide confidence intervals; figure 4 in Karasoy et al.6). The baseline stroke risk of the cohorts was too heterogeneous to draw conclusions from this. Other data sets also report relatively low stroke rates in AF ablation patients.13 While this may be due to a protective effect of ablation, it is also possible that unidentified confounding factors, aggregated in a clinical impression of vitality, leave patients suitable for catheter ablation at reduced stroke risk per se. This latter point is supported by the relatively low stroke risk in Danish ablation patients irrespective of ablation success.6 However, while ablation may not be entirely successful, reduction in AF burden or a change in the pattern of AF (paroxysmal vs. persistent, AF or sinus rhythm at baseline) may affect stroke risk,14,15 in line with the intuitive assumption that less time in AF may correspond to a lower risk of cardiac embolism. There is a simple lesson to learn from the report by Karasoy et al. Do not continue anticoagulation in AF patients beyond 3 months after ablation if they are not at risk for stroke (CHA2DS2VASC = 0). This is in line with current clinical guidance, and has the potential to avoid many bleeding events after AF ablation. Secondly, the present report, put in context, supports an emerging hypothesis that rhythm control therapy, especially AF ablation, may reduce stroke risk in AF. Ongoing trials such as EAST (www.easttrial.org, NCT01288,352) or CABANA (www.cabanatrial.org, NCT00911,508) will address the prognostic impact of rhythm control therapy including AF ablation including the effect of rhythm control therapy on stroke, on top of anticoagulation. Other trials are needed to define the optimal anticoagulation during AF ablation procedures in an era where novel anticoagulants are increasingly used. In addition, the data reported by Karasoy et al. suggest that further studies should be initiated to test whether oral anticoagulation can be modified (or even stopped) after successful catheter ablation of AF (e.g. OCEAN, NCT02168,829). Until we have seen the outcome of such trials, our present treatment pattern to continue oral anticoagulation after catheter ablation of AF in patients at risk for stroke should continue. This editorial was supported by the European Union (FP7, EUTRAF 251,057) and by the British Heart Foundation (FS/13/43/30324, both to P.K.). Conflict of interest: none declared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0060.004
Open science0.0020.001
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.341
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2014
Admission routes1
Has abstractyes

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