Preoperative Prognosis of Atrial Fibrillation Concomitant Surgery Outcome after the Blanking Period

  • A. Hernández
  • R. Alcaraz
  • F. Hornero
  • J. J. Rieta
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

Despite recent advances in the treatment of atrial fibrillation (AF), Cox-Maze surgery still is the therapy with the highest success rate. Long-term outcome prediction of this procedure has beenwidely studied in previousworks. However, only few studies addressed the short-time prediction issue. Moreover, they all presented a very limited predictive ability. In the present work, preoperative information from the surface electrocardiogram (ECG) is analyzed to predict the patient’s rhythm after the blanking period, which lasts 3 months after the surgery. Three aspects have been studied: the dominant atrial frequency (DAF), the pattern repetitiveness in the atrial activity via sample entropy (SampEn) and the fibrillatory waves mean power (fWP). They all revealed a considerably high prognosis ability of 68.97%, 72.42% and 75.86%, respectively. Additionally, the combination of these parameters through a decision tree improved substantially the prognosis accuracy up to 82.76%, with sensitivity of 81.25% and specificity of 84.62%. Hence, the preoperative ECG can yield clinically relevant information on the patient’s rhythm after the blanking period and could be helpful in the development of tailored postoperative therapies.

Keywords

ECG atrial fibrillation Cox-Maze surgery organization indices fibrillatory waves amplitude 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • A. Hernández
    • 1
  • R. Alcaraz
    • 2
  • F. Hornero
    • 3
  • J. J. Rieta
    • 1
  1. 1.Biomedical Synergy, Electronic Engineering DepartmentUniversidad Politécnica de ValenciaValenciaSpain
  2. 2.Innovation in Bioengineering Research GroupUniversity of Castilla-La ManchaCuencaSpain
  3. 3.Cardiac Surgery DepartmentGeneral University Hospital ConsortiumValenciaSpain

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