Key result
A baseline fibrillation cycle length >148 ms on surface ECG predicted successful interruption of persistent atrial fibrillation by pilsicainide with a sensitivity of 0.917 and specificity of 0.612.
Why the study?
Does fibrillation cycle length (FCL) measured by surface ECG spectral analysis predict the efficacy of pilsicainide or bepridil in interrupting persistent atrial fibrillation?
RCT (n=59)
Open-label
Randomly assigned
Does fibrillation cycle length (FCL) measured by surface ECG spectral analysis predict the efficacy of pilsicainide or bepridil in interrupting persistent atrial fibrillation?
Fibrillation cycle length measured via surface ECG spectral analysis can predict the efficacy of antiarrhythmic drugs like pilsicainide in terminating persistent atrial fibrillation.
Answers are grounded in this paper and cite their sources.
May guide pilsicainide selection in persistent AF; extends surface ECG spectral analysis as a noninvasive predictor.
BACKGROUND: Spectral analysis of the fibrillation waves was performed in patients with persistent atrial fibrillation (PAF) to clarify the usefulness of this method of predicting the efficacy of antiarrhythmic agents. METHODS AND RESULTS: The 59 patients with PAF were randomly assigned to pilsicainide (150 mg/day) or bepridil (200 mg/day) therapy for 4 weeks under optimal anticoagulation therapy. When the first therapy did not interrupt PAF, the drugs were changed in a cross-over manner. The fibrillation cycle length (FCL) was calculated using spectral analysis of the fibrillation waves on the body-surface ECG every 2 weeks. Pilsicainide and bepridil were effective in 19 and 20 patients, respectively. The FCL at the basic state was longest in the pilsicainide-effective group, moderate in the bepridil-effective group and shortest in the failure group (P<0.05). The change in FCL with drug administration (DeltaFCL) was larger in the effective than in the ineffective cases (P<0.01). Successful interruption of the atrial fibrillation (AF) with pilsicainide could be expected for patients with a FCL >148 ms (sensitivity =0.917, specificity =0.612, P=0.007) and DeltaFCL >41 ms (sensitivity =0.875, specificity =0.833, P=0.001). CONCLUSIONS: The FCL reflects the electrophysiological properties of the AF substrate and is considered useful for predicting the efficacy of antiarrhythmic agents.
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Niwano et al. (2009) conducted an RCT in Persistent Atrial Fibrillation (n=59). Pilsicainide or Bepridil vs. Active comparator (cross-over) was evaluated on Prediction of successful AF interruption by pilsicainide using baseline fibrillation cycle length (FCL) >148 ms (Sensitivity 0.917, Specificity 0.612, p=0.007). A baseline fibrillation cycle length >148 ms on surface ECG predicted successful interruption of persistent atrial fibrillation by pilsicainide with a sensitivity of 0.917 and specificity of 0.612.
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