Segmental analysis of left atrial substrate severity predictors in patients undergoing persistent atrial fibrillation ablation - Scorecard - MDSpire

Segmental analysis of left atrial substrate severity predictors in patients undergoing persistent atrial fibrillation ablation

  • By

  • Edoardo Cecchini

  • Gennaro Fabiano

  • Paola Liporace

  • Paolo Francesco Sorrenti

  • Giuseppe Campagna

  • Emmanuel Fabiano

  • Jacopo Colella

  • Alessandro Di Vilio

  • Giuseppe Indellicati

  • Simona Brogneri

  • Diego Sangiorgi

  • Andrea Petretta

  • Saverio Iacopino

  • July 6, 2026

  • 0 min

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Clinical Scorecard: Assessment of Predictors for Left Atrial Substrate Severity in Patients Undergoing Ablation for Persistent Atrial Fibrillation

At a Glance

CategoryDetail
ConditionPersistent Atrial Fibrillation
Key MechanismsLeft atrial structural and electrical remodeling
Target PopulationPatients undergoing ablation for drug-refractory persistent AF
Care SettingSingle-center retrospective study

Key Highlights

  • Higher mean percentage of very low-voltage zones predicts recurrences (HR 1.025; p = 0.008)
  • Protective effect of posterior-wall epicardial adipose tissue (HR 0.267; p = 0.007)
  • Very low bipolar voltage burden in the roof is associated with increased risk of recurrence (HR 1.024; p = 0.026)
  • Freedom from recurrence at 12 months was 70.6%
  • Study utilized AI-based platform for detailed analyses of LA substrate

Guideline-Based Recommendations

Diagnosis

  • Assessment of left atrial substrate anomalies using bipolar voltage and other predictors

Management

  • Tailored ablation procedures based on individual atrial substrate characteristics

Monitoring & Follow-up

  • Follow-up for freedom from recurrence post-ablation

Risks

  • Empirical additional ablation lesions may lead to adverse outcomes

Patient & Prescribing Data

69 consecutive patients with drug-refractory persistent AF

Comprehensive characterization of LA substrate may improve ablation outcomes

Clinical Best Practices

  • Utilize high-density electroanatomic mapping for LA assessment
  • Incorporate AI-assisted analysis for substrate evaluation
  • Consider segment-specific characteristics in ablation strategy

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