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Ventricular fibrillation dynamics reveal regional asymmetry in resilience to cardiac arrest and predict clinical outcome.

Cardiovascular research2026-05-29PubMed
Total: 85.5Innovation: 9Impact: 0Rigor: 0Citation: 0

Summary

In porcine models, VF exhibited consistent right-to-left ventricular activation rate gradients that intensified with prolonged global ischaemia, driven by greater RV resilience. Computational simulations corroborated higher RV excitability under ischaemia. In 60 patients with out-of-hospital cardiac arrest, higher pre-shock VF activation rates were associated with favourable neurological outcomes.

Key Findings

  • Right ventricle shows higher activation rates than left ventricle during VF, with gradients increasing over long-duration VF under global ischaemia.
  • Ex vivo optical mapping and computational simulations confirm earlier LV electrical depression and sustained RV excitability.
  • In 60 cardiac arrest patients, higher pre-shock VF activation rates predicted favourable neurological outcomes.

Clinical Implications

ECG-derived VF activation rate prior to first defibrillation may aid prognostication and guide resuscitation strategies. Recognition of RV-LV asymmetry could inform defibrillation timing and adjunctive therapies during prolonged VF.

Why It Matters

This study uncovers a mechanistic basis for VF dynamics and links a readily measurable ECG-derived activation rate to neurological outcomes, offering a translational biomarker for resuscitation.

Limitations

  • Translational human validation was observational and limited in sample size.
  • Animal models may not capture all human comorbidities and arrest heterogeneity.

Future Directions

Prospective validation of ECG-derived activation rate as a prognostic tool in resuscitation trials and exploration of tailored defibrillation strategies leveraging RV-LV asymmetry.

Study Information

Study Type
Cohort
Research Domain
Prognosis
Evidence Level
II - Prospective/observational human cohort with supportive experimental mechanistic data
Study Design
OTHER