title: Comparison of the accuracy of three algorithms in predicting accessory pathways among adult Wolff-Parkinson-White syndrome patients.
abstract: OBJECTIVE
  The aim of this study was to investigate the accuracy of three algorithms in predicting accessory pathway locations in adult patients with Wolff-Parkinson-White syndrome in Turkish population.
  
  
  METHODS
  A total of 207 adult patients with Wolff-Parkinson-White syndrome were retrospectively analyzed. The most preexcited 12-lead electrocardiogram in sinus rhythm was used for analysis. Two investigators blinded to the patient data used three algorithms for prediction of accessory pathway location.
  
  
  RESULTS
  Among all locations, 48.5% were left-sided, 44% were right-sided, and 7.5% were located in the midseptum or anteroseptum. When only exact locations were accepted as match, predictive accuracy for Chiang was 71.5%, 72.4% for d'Avila, and 71.5% for Arruda. The percentage of predictive accuracy of all algorithms did not differ between the algorithms (p = 1.000; p = 0.875; p = 0.885, respectively). The best algorithm for prediction of right-sided, left-sided, and anteroseptal and midseptal accessory pathways was Arruda (p < 0.001). Arruda was significantly better than d'Avila in predicting adjacent sites (p = 0.035) and the percent of the contralateral site prediction was higher with d'Avila than Arruda (p = 0.013).
  
  
  CONCLUSIONS
  All algorithms were similar in predicting accessory pathway location and the predicted accuracy was lower than previously reported by their authors. However, according to the accessory pathway site, the algorithm designed by Arruda et al. showed better predictions than the other algorithms and using this algorithm may provide advantages before a planned ablation.
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Orhan
authors.initials: O
authors.lastname: Maden
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey. kevs84@gmail.com.
authors.forename: Kevser Gülcihan
authors.initials: KG
authors.lastname: Balci
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Mehmet Timur
authors.initials: MT
authors.lastname: Selcuk
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Mustafa Mücahit
authors.initials: MM
authors.lastname: Balci
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Burak
authors.initials: B
authors.lastname: Açar
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Sefa
authors.initials: S
authors.lastname: Unal
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Meryem
authors.initials: M
authors.lastname: Kara
authors.affiliation: Turkiye Yuksek Ihtisas Research and Education Hospital, Ankara, Turkey.
authors.forename: Hatice
authors.initials: H
authors.lastname: Selcuk
mesh_terms: D058606:Accessory Atrioventricular Bundle / Q000175:diagnosis*; D000328:Adult; D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016037:Single-Blind Method; D014927:Wolff-Parkinson-White Syndrome / Q000175:diagnosis*
keywords: Accessory pathways; Algorithms; Cardiac electrophysiology; Wolff-Parkinson-White syndrome