HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Mechanism of antiarrhythmic effects of class Ic drugs in paroxysmal atrial fibrillation in man.

Abstract
While class Ic antiarrhythmic drugs are effective in treating patients with atrial fibrillation, their mechanism of action is poorly understood. We performed electrophysiological studies before and after their administration to 22 patients with paroxysmal atrial fibrillation. Atrial refractoriness, maximal interatrial conduction delay and the wavelength index were measured at two basic cycle lengths (600 or 400 ms). Both drugs studied increased atrial refractoriness and wavelength index. Flecainide reduced the maximal interatrial conduction delay, but pilsicainide did not. Each drug increased the wavelength index in a tachycardia-dependent manner. Class Ic drugs may reduce atrial vulnerability by increasing the wavelength of the reentrant circuit during periods of rapid heart rate.
AuthorsK Matsuo, K Kumagai, M Annoura, M Ideishi, K Arakawa
JournalCardiology (Cardiology) Vol. 89 Issue 2 Pg. 119-23 ( 1998) ISSN: 0008-6312 [Print] Switzerland
PMID9524012 (Publication Type: Clinical Trial, Journal Article, Randomized Controlled Trial)
Chemical References
  • Anti-Arrhythmia Agents
  • Lidocaine
  • pilsicainide
  • Flecainide
Topics
  • Administration, Oral
  • Adult
  • Aged
  • Anti-Arrhythmia Agents (administration & dosage, pharmacology)
  • Atrial Fibrillation (drug therapy, physiopathology)
  • Cardiac Pacing, Artificial
  • Electrocardiography
  • Electrophysiology
  • Female
  • Flecainide (administration & dosage, pharmacology)
  • Humans
  • Lidocaine (administration & dosage, analogs & derivatives, pharmacology)
  • Male
  • Middle Aged

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: