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Record W4416121804 · doi:10.1093/eurheartj/ehaf741

Clinical consensus statement on epicardial ventricular arrhythmia ablation: key messages

2025· article· en· W4416121804 on OpenAlexaboutno aff
Alireza Sepehri Shamloo, Luigi Di Biase, Arash Arya

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsStatement (logic)Key (lock)MEDLINECardiac arrhythmiaElectrocardiography

Abstract

fetched live from OpenAlex

Epicardial ventricular arrhythmias (VAs) are defined as focal VAs originating from the epicardial surface or scar-related re-entrant VAs with an epicardial exit. In such scenarios, epicardial access may be necessary to achieve a successful ablation. The 2025 clinical consensus statement on epicardial VA ablation offers practical advice and a structured framework for the peri-procedural management of epicardial VA ablation, developed collaboratively by European Heart Rhythm Association (EHRA), the Heart Rhythm Society (HRS), the Asia Pacific Heart Rhythm Society (APHRS), the Latin American Heart Rhythm Society (LAHRS), and the Canadian Heart Rhythm Society (CHRS). The following ten clinical commandments summarize key principles and expert guidance to promote safe and effective practice (Figure 1).1 Epicardial ventricular arrhythmia ablation: from patient selection to ablation strategy and complication prevention. AADs, antiarrhythmic drugs; ARVC, arrhythmogenic right ventricular cardiomyopathy; DOACs, direct oral anticoagulants; CT, computed tomography; MRI, magnetic resonance imaging Epicardial ablation is typically required in one-third of patients undergoing VA ablation, primarily in individuals with a suspected epicardial substrate based on ECG findings, imaging (e.g. cardiac MRI), electroanatomical mapping, or a history of failed endocardial ablation. Certain cardiomyopathies—such as arrhythmogenic right ventricular cardiomyopathy/dysplasia, Chagas disease, or Brugada syndrome—commonly involve epicardial circuits. The standard method for obtaining epicardial access involves subxiphoid percutaneous puncture with a Tuohy or micropuncture needle. In cases with prior surgery or extensive pericardial adhesions, surgical access may be more appropriate. Adjunctive tools such as CO₂ insufflation may improve procedural safety. A hybrid surgical-electrophysiological approach enables controlled access and precise mapping when necessary. Pre-procedural cardiac MRI or CT helps locate the substrate, evaluate wall thickness and epicardial fat, and visualize coronary arteries and the phrenic nerve. Image integration into electroanatomical mapping systems supports precise guidance. Selective coronary angiography is advised prior to ablation for better visualization of areas near the coronary arteries. Uninterrupted anticoagulation is not advised. For patients on vitamin K antagonists, achieving an INR < 1.5 is desirable. Direct oral anticoagulants are typically withheld for at least 24 h before the procedure. The decision to use heparin bridging is made on an individual basis, considering factors like the presence and type of mechanical heart valves, as well as other elements that increase the risk of thrombosis. Further studies are warranted to assess the safety of uninterrupted anticoagulation in epicardial procedures. Understanding the anatomy of the pericardium and coronary arteries, along with their adjacent structures, is crucial for preventing complications. Common issues to anticipate include pericarditis, haemopericardium, tamponade, coronary injury, and phrenic nerve damage. Awareness of individual risk factors (including patient-specific factors, anatomical variations, procedure-related factors, and High PAINESD score) and preventive strategies is critical to minimize procedural hazards. Substrate identification may involve bipolar and unipolar voltage mapping, multilayer mapping, entrainment, and pace mapping. Multielectrode catheters can enhance mapping efficiency and improve identification of the critical substrate of scar-related VAs. Procedural endpoints such as noninducibility and ablation of all late potentials are advised in securing a successful epicardial VA ablation. Post-ablation management includes drainage of the pericardial space, conducting early imaging to exclude pericardial effusion, timely resumption of anticoagulation, and performing device interrogation. Routine use of oral colchicine after the procedure, along with intrapericardial triamcinolone (2 mg/kg) or methylprednisolone (250 mg) at the end of the procedure, may help reduce post-procedural adhesions and symptoms of pericarditis. Follow-up within 4–8 weeks, and then, as routine or remote monitoring, is advised in all patients undergoing epicardial VA ablation to assist in detecting early recurrence. Decision regarding discontinuation of antiarrhythmic medications after ablation is advised to be individualized based on the number of induced VAs, ablation outcome, and substrate complexity. Epicardial access and ablation require specialized skills different from endocardial techniques. Structured training, simulation-based education, and close mentoring can support operators’ proficiency. Procedures are advised to be performed in centres with immediate surgical backup available. Innovations such as image integration, novel mapping catheters and tools, and new energy sources like pulsed field ablation may improve procedural outcomes. Safer access and ablation techniques are under continuous development. All authors declare no disclosure of interest for this contribution.

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)0.039
metaresearch head score (Gemma)0.094
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: Editorial · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.094
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0060.007
Research integrity0.0160.016
Insufficient payload (model declined to judge)0.0220.022

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 head0.043
GPT teacher head0.374
Teacher spread0.331 · 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
GenreEditorial

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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Citations1
Published2025
Admission routes1
Has abstractyes

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