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Iranian Heart Journal، جلد ۲۲، شماره ۴، صفحات ۷۱-۷۹
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عنوان انگلیسی A Simple Algorithm for Predicting the Location of Right-Sided Accessory Pathways Based on ECG in WPW Patients
چکیده انگلیسی مقاله Background: Several algorithms have been designed for the localization of pre-ablation accessory pathways (APs) in Wolff–Parkinson–White (WPW) syndrome based on QRS or delta-wave polarity in different (electrocardiographic) ECG leads. Due to the difficulty of catheter placement in the tricuspid ring, leading to increased likelihoods of ablation failure and recurrence in right-sided APs, it is essential to design an algorithm to correctly predict the location of these APs before ablation.   Methods: In this retrospective study, 294 known WPW patients with right-sided APs who had clear pre-excitation in the 12-lead ECG were divided into 8 anatomic zones and were then studied using ECG and electrophysiological characteristics.   Results: An algorithm was designed based on the sum of QRS and delta-wave polarity in the V1 and inferior leads. The sensitivity and specificity of the proposed algorithm for predicting free-wall APs, including posterolateral and posterior APs, were 95% and 25%, respectively. Sensitivity and specificity were 72.7% and 95.8% for anterolateral and anterior APs, respectively, and 100% and 60% for lateral APs, respectively. In septal APs, the respective rates of sensitivity and specificity of the algorithm were 60% and 80% for the posteroseptal AP, 61% and 98% for the anteroseptal AP, and 31% and 90% for the midseptal AP.    Conclusions: The proposed algorithm provides a precise and simple way to differentiate between right-sided APs before performing ablation, thereby reducing ablation failure and recurrence. (Iranian Heart Journal 2021; 22(4): 71-79)
کلیدواژه‌های انگلیسی مقاله Right-sided accessory pathway,Wolff–Parkinson–White syndrome,Electrocardiography,Electrophysiology,radiofrequency ablation
نویسندگان مقاله Shabnam Madadi |
Cardiac Electrophysiology Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, IR Iran.

Pegah Salehi |
Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, IR Iran.

Soudeh Roudbari |
Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, IR Iran.

Masoud Roudbari |
Department of Biostatistics, School of public health, Iran University of Medical Silences, Tehran, IR Iran.

نشانی اینترنتی http://journal.iha.org.ir/article_137650_67be92cf1d88209705e480959e4ac01d.pdf
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