Effects of lidocaine on shock-induced vulnerability and defibrillation

Li Li*, Vladimir Nikolski, Brian R. Wollenzier, Igor R. Efimov

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Lidocaine is known to increase monophasic shock (MS) defibrillation threshold (DFT). We investigated the underlying mechanisms using optical mapping of the shock-induced arrhythmias in Langendorf-perfused rabbit hearts. MS were delivered from two mesh electrodes during pacing. Vulnerability was assessed as vulnerable window (VW) within shock strengths of 15V - 150V and vulnerable period (VP) within coupling intervals of 0 - 100% of action potential duration (%APD). Lidocaine caused significant increase in both VW (51 ± 16 V vs 100 ± 16 V, p<0.01) and VP (44 ± 21 V vs 49 ± 17 V, p<0.01). Lidocaine had no effect on virtual electrode polarization (δVm). In contrast, the conduction velocity (CV) slowed significantly by lidocaine during both pacing (0.58 ± 0.08 m/s vs 0.44 ± 0.05 m/s, p<0.01) and shock-induced reentry (0.34 ± 0.07 m/s vs 0.19 ± 0.08 m/s, p<0.01). Slowing of the conduction caused by lidocaine resulted in increased dispersion of repolarization. Conclusions: Lidocaine increased vulnerability due to the slowing of shock-induced wavefront, which resulted in enhanced probability of survival of virtual electrode induced phase singularity. Lidocaine had no significant effect on shock-induced δVm.

Original languageEnglish (US)
Pages (from-to)1451-1452
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002


  • Electrophysiology
  • Lidocaine
  • Vulnerability

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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