Can P Wave Wavelet Analysis Predict Atrial Fibrillation After Coronary Artery Bypass Grafting?

• Published in: Pacing and clinical electrophysiology 2003-01, Vol.26 (1p2), p.305-309
• Main Authors: VASSILIKOS, VASSILIOS, DAKOS, GEORGE, CHOUVARDA, IOANNA, KARAGOUNIS, LABROS, KARVOUNIS, HARALAMBOS, MAGLAVERAS, NIKOLAOS, MOCHLAS, SOTIRIOS, SPANOS, PANAGIOTIS, LOURIDAS, GEORGE
• Format: Article
• Language: English
• Subjects: Aged; Atrial Fibrillation - diagnosis; Atrial Fibrillation - etiology; Coronary Artery Bypass - adverse effects; Electrocardiography; Female; Humans; Male; Middle Aged; Morlet wavelet analysis; Multivariate Analysis; P wave; Post-CABG atrial fibrillation; Prospective Studies; Sensitivity and Specificity; Signal Processing, Computer-Assisted
• ISSN: 0147-8389; 1540-8159
• DOI: 10.1046/j.1460-9592.2003.00038.x

VASSILIKOS V., et al.: Can P Wave Wavelet Analysis Predict Atrial Fibrillation After Coronary Artery Bypass Grafting? The purpose of this study was the evaluation of Morlet wavelet analysis of the P wave as a means of predicting the development of atrial fibrillation (AF) in patients who undergo coronary artery bypass grafting (CABG). The P wave was analyzed using the Morlet wavelet in 50 patients who underwent successful CABG. Group A consisted of 17 patients, 12 men and 5 women, of mean age 66.9 ± 5.9 years , who developed AF postoperatively. Group B consisted of 33 patients, 29 men and 4 women, mean age 62.4 ± 7.8 years , who remained arrhythmia‐free. Using custom‐designed software, P wave duration and wavelet parameters expressing the mean and maximum energy of the P wave were calculated from 3‐channel digital recordings derived from orthogonal ECG leads (X, Y, and Z), and the vector magnitude (VM) was determined in each of 3 frequency bands (200–160 Hz, 150–100 Hz and 90–50 Hz). Univariate logistic‐regression analysis identified a history of hypertension, the mean and maximum energies in all frequency bands along the Z axis, the mean and maximum energies (expressed by the VM) in the 200–160 Hz frequency band, and the mean energy in the 150–100 Hz frequency band along the Y axis as predictors for post‐CABG AF. Multivariate analysis identified hypertension, ejection fraction, and the maximum energies in the 90–50 Hz frequency band along the Z and composite‐vector axes as independent predictors. This multivariate model had a sensitivity of 91% and a specificity of 65%. We conclude that the Morlet wavelet analysis of the P wave is a very sensitive method of identifying patients who are likely to develop AF after CABG. The occurrence of post‐CABG AF can be explained by a different activation pattern along the Z axis. (PACE 2003; 26[Pt. II]:305–309)