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Ann Thorac Surg 2006;81:406-407
© 2006 The Society of Thoracic Surgeons


Correspondence

The Signal-Averaged P-Wave to Predict Atrial Fibrillation After Cardiac Surgery

R. Andrew Archbold, MD

Department of Cardiology, London Chest Hospital, Bonner Rd, London, E2 9JX United Kingdom

(Email: andrew.archbold{at}bartsandthelondon.nhs.uk).

To the Editor:

Hayashida and colleagues' [1] article adds to the considerable body of evidence that has identified advanced age and prolonged signal-averaged P-wave duration (SAPWD) as the only consistent markers of increased risk for the development of atrial fibrillation (AF) after cardiac surgery [2–7]. However, an important issue concerning the clinical utility of SAPWD in predicting this arrhythmia needs to be highlighted.

The cutoff identified in this study as best predicting AF was 135 ms, whereas previous studies of SAPWD have reported values ranging from 122 ms to 155 ms as having the greatest predictive accuracy for postoperative AF [3–7]. One explanation for these divergent values is that a variety of filtering techniques were applied in these studies including least-squares fit, unidirectional, bi-directional and finite impulse response filtering. The effects of each of these filtering techniques on SAPWD and the strength of the association between SAPWD and AF were examined in a study of 15 patients with paroxysmal AF and 15 controls [8]. A least-squares fit filter resulted in the longest P waves and also produced the strongest association with AF. Personal experience has demonstrated that P wave characteristics are altered in an unpredictable way, some P waves having almost identical durations when filtered by two different methods, whereas others have significantly different durations. In some cases, the SAPWD is shortened or prolonged beyond the chosen cutoff, such that the resulting prediction for the development of postoperative AF is changed. Therefore the methodology of P-wave filtering is critical to the derivation of the best predictive SAPWD cut-off. Ideally, each center should prospectively validate its own SAPWD cut-off for the prediction of AF after cardiac surgery before introducing its use into clinical practice [3].


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 References
 

  1. Hayashida N, Shojima T, Yokokura Y, et al. P-wave signal-averaged electrocardiogram for predicting atrial arrhythmia after cardiac surgery Ann Thorac Surg 2005;79:859-864.[Abstract/Free Full Text]
  2. Aranki SF, Shaw DP, Adams DH, et al. Predictors of atrial fibrillation after coronary artery surgery Circulation 1996;94:390-397.[Abstract/Free Full Text]
  3. Zaman AG, Archbold RA, Helft G, Paul EA, Curzen NP, Mills PG. Atrial fibrillation after coronary artery bypass surgerya model for pre-operative risk stratification. Circulation 2000;101:1403-1408.[Abstract/Free Full Text]
  4. Steinberg JS, Zelenkofske S, Wong SC, Gelernt MN, Sciacca R, Menchavez E. The value of the P-wave-signal-averaged electrocardiogram for predicting atrial fibrillation after cardiac surgery Circulation 1993;88:2618-2622.[Abstract/Free Full Text]
  5. Aytemir K, Aksoyek S, Ozer N, Aslamaci S, Oto A. Atrial fibrillation after coronary artery bypass surgeryP wave signal averaged ECG, clinical and angiographic variables in risk assessment. Int J Cardiol 1999;69:49-56.[Medline]
  6. Klein M, Evans SJ, Blumberg S, Cataldo L, Bodeheimer MM. Use of P-wave-triggered, P-wave-signal-averaged electrocardiogram to predict atrial fibrillation after coronary bypass surgery Am Heart J 1995;129:895-901.[Medline]
  7. Stafford PJ, Kolvekar S, Cooper J, et al. Signal averaged P wave compared with standard electrocardiography or echocardiography for prediction of atrial fibrillation after coronary bypass grafting Heart 1997;77:417-422.[Abstract/Free Full Text]
  8. Ehlert FA, Korenstein D, Steinberg JS. Evaluation of P wave signal-avergaed electrocardiographic filtering and analysis methods Am Heart J 1997;134:985-993.[Medline]




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