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Evaluation of Tp-E Interval and Tp-E/QT Ratio in Patients with Aortic Stenosis

Background The risk of syncope and sudden cardiac death due to ventricular arrhythmias increased in patients with aortic stenosis (AS). Recently, it was shown that Tp‐e interval, Tp‐e/QT, and Tp‐e/QTc ratio can be novel indicators for prediction of ventricular arrhythmias and mortality. We aimed to...

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Published in:Annals of noninvasive electrocardiology 2016-05, Vol.21 (3), p.287-293
Main Authors: Yayla, Çağrı, Bilgin, Murat, Akboğa, Mehmet Kadri, Gayretli Yayla, Kadriye, Canpolat, Uğur, Dinç Asarcikli, Lale, Doğan, Mehmet, Turak, Osman, Çay, Serkan, Özeke, Özcan, Akyel, Ahmet, Yeter, Ekrem, Aydoğdu, Sinan
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Language:English
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Summary:Background The risk of syncope and sudden cardiac death due to ventricular arrhythmias increased in patients with aortic stenosis (AS). Recently, it was shown that Tp‐e interval, Tp‐e/QT, and Tp‐e/QTc ratio can be novel indicators for prediction of ventricular arrhythmias and mortality. We aimed to investigate the association between AS and ventricular repolarization using Tp‐e interval and Tp‐e/QT ratio. Methods Totally, 105 patients with AS and 60 control subjects were enrolled to this study. The severity of AS was defined by transthoracic echocardiographic examination. Tp‐e interval, Tp‐e/QT, and Tp‐e/QTc ratios were measured from the 12‐lead electrocardiogram. Results Tp‐e interval, Tp‐e/QT, and Tp‐e/QTc ratios were significantly increased in parallel to the severity of AS (P < 0.001, P = 0.001, and P = 0.001, respectively). Also, it was shown that Tp‐e/QTc ratio had significant positive correlation with mean aortic gradient (r = 0.192, P = 0.049). In multivariate logistic regression analysis, Tp‐e/QTc ratio and left ventricular mass were found to be independent predictors of severe AS (P = 0.03 and P = 0.04, respectively). Conclusions Our study showed that Tp‐e interval, Tp‐e/QT, and Tp‐e/QTc ratios were increased in patients with severe AS. Tp‐e/QTc ratio and left ventricular mass were found as independent predictors of severe AS.
ISSN:1082-720X
1542-474X
DOI:10.1111/anec.12298