Author + information
- Sungsoo Kima,b,
- Sohee Kwona,b,
- Ira Blaua,b,
- Junbeom Parka,b,
- Moon-Hyoung Leea,b,
- Lindsey Krawchuka,b,
- Nicholas Meyersa,b and
- Byung-Il Choia,b
Background: In our previous studies, we demonstrated that Root Mean Square (RMS) and Dominant Frequency (DF) could differentiate Atrial Fibrillation (AF) into paroxysmal AF (PAF) from persistent AF (PeAF) and Permanent AF (PeAF). Here, we further analyzed data generated by scattergram display using RMS and DF coordinates simultaneously to find more reliable cutoff values to classify AF subtypes.
Methods: A total of 224 AF patients were enrolled: 112 PAF (61.6 ± 12.5 years), 48 PeAF (55.6 ± 13.1 years), 64 PmAF (65.3 ± 9.3 years). The data were plotted on a scattergram to evaluate the optimal cutoff value, expressed by the line of angle (θ) to differentiate AF subtypes. Mathematical analysis was performed using SAS 9.3 and Matlab R2015a.
Results: Table 1 shows that the optimal θ is close to 0°for differentiating PAF and PeAF (p=0.0011, AUC=0.6582), 80° for PAF and PmAF (p<0.001, AUC=0.7720), and 111° for PeAF and PmAF (p<0.001, AUC=0.7589). Fig.1 depicts scattergram for 224 patients with x-axis representing RMS and y-axis for DF, respectively.
Conclusions: Since each AF subtype has a distinct amplitude and frequency, simultaneous analysis of these parameters could yield more reliable cutoff values. By using a scattergram with the mathematical equations proposed in this study, an optimal demarcation line of θ to classify three subtypes of AF may provide a diagnosis that is more accurate, and suggest a more appropriate approach to management of patients with AF.
Poster Hall, Hall C
Saturday, March 18, 2017, 3:45 p.m.-4:30 p.m.
Session Title: Arrhythmias and Clinical EP: Basic 4
Abstract Category: 4. Arrhythmias and Clinical EP: Basic
Presentation Number: 1238-111
- 2017 American College of Cardiology Foundation