This study was designed to characteristics of 12-lead electrocardiogram (ECG) to compare the position of accessory pathway (APs) in the typical Wolff-Parkinson-White (WPW) syndrome, can be build a new ECG algorithm for the localization of AP. Subjects and method: In 189 patients with typical WPW syndrome have a single anterogradely conducting APs on 12-lead ECG parameters were compared with the localization of APs identified by successful radiofrequency catheter ablation (RCFA).
Objective: This study was to test the accuracy of the newly built electrocardiogram algorithm prospectively by us for the localizing accessory pathways (APs) in typcal Wolff-Parkinson-White (WPW) syndrome.
Subject and methods:A new algorithm is proposed for localization of AP by 12 lead electrocardiograms (ECG) before radiofrequeny catheter ablation (RCFA) in 109 patients were compared with AP location confirmed by successful RCFA.
Results:The new electrocardiogram algorithm for the localization of AP with high accuracy predicted by simple parameters such as delta wave polarity in lead V1, R/S ratio in V1, the QRS complex transition, delta wave polarity and QRS complex polarity in at least 2/3 inferior leads (DII, DIII, aVF) and QRS complex morphology was Qrs (Qrs, qRs, qrS) in at least 1/3 inferior leads with high sensitivity and high specificity from 75% to 100%.
Conclusion:The new ECG algorithms were high accuracy in predicting AP before intervention.
Objectives: This study was designed to characterize 12-lead electrocardiogram (ECG) for localization of the left free wall lateral accessory pathway (AP) in patients with typical Wolff-Parkinson-White (WPW) syndrome, to develop a new algorithm ECG for localizing APs, and to test the accuracy of the algorithm prospectively.
Method: We studied 129 patients; 84 patients had typical WPW syndrome with single anterograde AP identified by successful radiofrequency catheter ablation (RFCA), and were enrolled to build a new ECG algorithm for localizing left free wall APs. Then, the algorithm was tested prospectively in 45 patients and compared with the location of APs successfully ablated by RFCA.
Results: We found that the 12-lead ECG parameters in typical WPW syndrome, such as delta wave polarity in V1, R/S ratio in V1, transition of the QRS complex, and delta wave polarity in inferior, lead to diagnosis and localization of APs, with highest accuracy predicted from 74.5%-100%, and for development of a new ECG algorithm. From the 45 patients who were prospectively evaluated by the newly derived algorithm for the left free wall pathways, the sensitivity and specificity was high (from 75-100%).
Conclusion: The 12-lead ECG parameters in typical WPW syndrome are closely related to left free wall AP localization and can be used to develop a new ECG algorithm by the parameters above. Moreover, the new ECG algorithm can predict the location of APs with high accuracy.
Objectives: This study was designed characteristics of surface electrocardiogram (ECG) for the localization of septal accessory pathway (AP) in the typical Wolff-Parkinson-White (WPW) syndrome to develop a new algorithm ECG for the septal AP localization, and to test the accuracy of the algorithm prospectively.
Subject and Methods:We studied 106 patients, in 65 patients with typical WPW syndrome have a single anterograde with the localization of Aps identified by successful radiofrequency catheter ablation (RCFA) to develop a new ECG algorithm for the septal AP localization. Then this algorithm was tested propectively in 41 patients were compared with the location of AP's successful ablation by RCFA (gold standard).
Results:We found that the 12 lead ECG parameters in 65 patients with typical WPW syndrome such as the transition of the QRS complex, delta wave polarity in V1 lead, delta wave polarity in at least 2/3 inferior leads and morphology QRS was "QRS pattern'' in inferior leads in diagnosis for the localization of septal APs with hight accuracy predicted from 83.3% to 100%, and for development of a new ECG algorithm. Then the following 41 patients were prospectively evaluated by the new derived algorithm for the septal pathways with high sensitivity and specificity from 84.6% to 100%.
Conclusion:12-lead ECG parameters in typical WPW syndrome closely related to the septal AP localization, in order to develop the new ECG algorithm by parameters as above; and can be used to a new septal ECG algorithm in predicted the location APs with high accuracy predicted.
Objectives: This study was designed to characterize the surface electrocardiogram (ECG) of the typical Wolff-Parkinson-White (WPW) syndrome to develop a new algorithm ECG to localize the septal accessory pathways (APs) and to prospectively test the accuracy of the algorithm.
Methods: We studied 106 patients, in which 65 patients with typical WPW syndrome who had a single antero-grade with the localization of APs identified by successful radiofrequency catheter ablation (RFCA) to develop a new ECG algorithm for the septal AP localization. Then, this algorithm was tested prospectively in 41 patients to compare to the localization of APs by successful ablation by RFCA (gold standard).
Results: In 65 patients with typical WPW syndrome, we found that the 12-lead ECG parameters such as the transition of the QRS complex, delta wave polarity in V1 lead, delta wave polarity in at least 2/3 inferior leads and ``QRS pattern'' in inferior leads can predict the localization of septal APs with the accuracy ranging from 83.3% to 100%. Then, 41 patients were prospectively evaluated by the new derived algorithm to localize the septal APs with high sensitivity and specificity from 84.6% to 100%.
Conclusion: 12-lead ECG parameters in typical WPW syndrome are strongly correlated to the septal AP localization, which can be used to develop a new ECG algorithm to localize septal APs with high accuracy.
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