TY - JOUR
T1 - Novel non-invasive P wave analysis for the prediction of paroxysmal atrial fibrillation recurrences in patients without structural heart disease
T2 - A prospective pilot study
AU - Vassilikos, Vassilios
AU - Dakos, George
AU - Chatzizisis, Yiannis S.
AU - Chouvarda, Ioanna
AU - Karvounis, Charalambos
AU - Maynard, Charles
AU - Maglaveras, Nicos
AU - Paraskevaidis, Stylianos
AU - Stavropoulos, George
AU - Styliadis, Charalambos I.
AU - Mochlas, Sotirios
AU - Styliadis, Ioannis
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Objectives: The pathogenetic mechanisms responsible for the initiation and recurrence of PAF are not fully elucidated and vary among individuals. We evaluated the ability of a novel non-invasive approach based on P wave wavelet analysis to predict symptomatic paroxysmal atrial fibrillation (PAF) recurrences in individuals without structural heart disease. Methods: We studied 50 patients (24 males, mean age 54.9 ± 9.8 years) presented to our emergency department with a symptomatic episode of PAF. The patients were followed-up for 12.1 ± 0.1 months and classified into two groups according to the number of PAF episodes: Group A (< 5 PAF, n = 33), Group B (≥ 5 PAF, n = 17). A third Group of 50 healthy individuals without history of PAF was used as control. Study groups underwent echocardiography and orthogonal ECG-based wavelet analyses of P waves at baseline and follow-up. Maximum and mean P wave energies were calculated in each subject at each orthogonal lead using the Morlet wavelet analysis. Results: Larger P wave energies at X lead and relatively larger left atrium were independently associated with > 5 PAF episodes vs. < 5 PAF episodes. No difference in P wave duration was detected between Groups A and B (p > 0.1), whereas Group A and B patients had longer P waves at Z lead compared to Group C (86.4 ± 13 vs. 71.5 ± 15 msec, p < 0.001). Conclusions: P wave wavelet analysis can reliably predict the generation and recurrence of PAF within a year. P wave wavelet analysis could contribute to the early identification of patients at risk for increased number of PAF recurrences.
AB - Objectives: The pathogenetic mechanisms responsible for the initiation and recurrence of PAF are not fully elucidated and vary among individuals. We evaluated the ability of a novel non-invasive approach based on P wave wavelet analysis to predict symptomatic paroxysmal atrial fibrillation (PAF) recurrences in individuals without structural heart disease. Methods: We studied 50 patients (24 males, mean age 54.9 ± 9.8 years) presented to our emergency department with a symptomatic episode of PAF. The patients were followed-up for 12.1 ± 0.1 months and classified into two groups according to the number of PAF episodes: Group A (< 5 PAF, n = 33), Group B (≥ 5 PAF, n = 17). A third Group of 50 healthy individuals without history of PAF was used as control. Study groups underwent echocardiography and orthogonal ECG-based wavelet analyses of P waves at baseline and follow-up. Maximum and mean P wave energies were calculated in each subject at each orthogonal lead using the Morlet wavelet analysis. Results: Larger P wave energies at X lead and relatively larger left atrium were independently associated with > 5 PAF episodes vs. < 5 PAF episodes. No difference in P wave duration was detected between Groups A and B (p > 0.1), whereas Group A and B patients had longer P waves at Z lead compared to Group C (86.4 ± 13 vs. 71.5 ± 15 msec, p < 0.001). Conclusions: P wave wavelet analysis can reliably predict the generation and recurrence of PAF within a year. P wave wavelet analysis could contribute to the early identification of patients at risk for increased number of PAF recurrences.
KW - P wave
KW - Paroxysmal atrial fibrillation
KW - Wavelet analysis
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U2 - 10.1016/j.ijcard.2010.08.029
DO - 10.1016/j.ijcard.2010.08.029
M3 - Article
C2 - 20837368
AN - SCOPUS:81755172403
SN - 0167-5273
VL - 153
SP - 165
EP - 172
JO - International Journal of Cardiology
JF - International Journal of Cardiology
IS - 2
ER -