PURPOSE: 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.
PURPOSE: 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: T Basiouny; C de Chillou; S Fareh; G Kirkorian; M Messier; N Sadoul; P Chevalier; I Magnin-Poull; I Blankoff; J Chen; P Touboul; E Aliot Journal: J Cardiovasc Electrophysiol Date: 1999-10
Authors: P Iturralde; V Araya-Gomez; L Colin; S Kershenovich; A de Micheli; J A Gonzalez-Hermosillo Journal: J Electrocardiol Date: 1996-10 Impact factor: 1.438
Authors: Yaniv Bar-Cohen; Paul Khairy; James Morwood; Mark E Alexander; Frank Cecchin; Charles I Berul Journal: J Cardiovasc Electrophysiol Date: 2006-07
Authors: C E Chiang; S A Chen; W S Teo; D S Tsai; T J Wu; C C Cheng; C W Chiou; C T Tai; S H Lee; C Y Chen Journal: Am J Cardiol Date: 1995-07-01 Impact factor: 2.778
Authors: B Xie; S C Heald; Y Bashir; D Katritsis; F D Murgatroyd; A J Camm; E Rowland; D E Ward Journal: Am J Cardiol Date: 1994-07-15 Impact factor: 2.778