Literature DB >> 27752887

QTc interval predicts outcome of catheter ablation in paroxysmal atrial fibrillation patients with type 2 diabetes mellitus.

Ning Ma1, Xiao-Yan Wu1, Chang-Sheng Ma1, Nian Liu1, Rong Bai1, Xin Du1, Yan-Fei Ruan1, Jian-Zeng Dong2.   

Abstract

Catheter ablation has been recommended as a treatment option for paroxysmal atrial fibrillation (PAF) patients complicated with type 2 diabetes mellitus (T2DM). PAF patients with T2DM have a higher recurrence rate after catheter ablation. Prolongation of corrected QT (QTc) interval has been linked to poor outcomes in T2DM patients. Whether the abnormal QTc interval is associated with the ablation outcome in the PAF patients with T2DM remains unknown. In this study, 134 PAF patients with T2DM undergoing primary catheter ablation were retrospectively enrolled. Pre-procedural QTc interval was corrected by using the Bazett's formula. Cox proportional hazards models were constructed to assess the relationship between QTc interval and the recurrence of AF. After a 29.1-month follow-up period, 61 patients experienced atrial tachyarrhythmia recurrence. Recurrent patients had a longer QTc interval than non-recurrent patients (425.2±21.5 ms vs. 414.1±13.4 ms, P=0.002). Multivariate Cox regression analysis revealed that QTc interval [hazard ratio (HR)=1.026, 95% confidence interval (CI) 1.012-1.040, P=0.005] and left atrial diameter (LAD) (HR=1.125, 95% CI 1.062-1.192, P=0.003) were independent predictors of recurrent atrial tachyarrhythmia. Receiver operating characteristic analysis demonstrated that the cut-off value of QTc (418 ms) predicted arrhythmia recurrence with a sensitivity of 55.7% and a specificity of 69.9%. A combination of LAD and QTc was more effective than LAD alone (P<0.001) in predicting arrhythmia recurrence after the procedure. QTc interval could be used as an independent predictor of arrhythmia recurrence in T2DM patients undergoing AF ablation, thus providing a simple method to identify those patients who likely have a better outcome following the procedure.

Entities:  

Keywords:  QTc interval; catheter ablation; paroxysmal atrial fibrillation; recurrence; type 2 diabetes mellitus

Mesh:

Year:  2016        PMID: 27752887     DOI: 10.1007/s11596-016-1640-5

Source DB:  PubMed          Journal:  J Huazhong Univ Sci Technolog Med Sci        ISSN: 1672-0733


  39 in total

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Journal:  Circulation       Date:  2010-11-15       Impact factor: 29.690

2.  Prediction of mortality using measures of cardiac autonomic dysfunction in the diabetic and nondiabetic population: the MONICA/KORA Augsburg Cohort Study.

Authors:  Dan Ziegler; Christian P Zentai; Siegfried Perz; Wolfgang Rathmann; Burkhard Haastert; Angela Döring; Christa Meisinger
Journal:  Diabetes Care       Date:  2007-12-17       Impact factor: 19.112

Review 3.  AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: part IV: the ST segment, T and U waves, and the QT interval: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Endorsed by the International Society for Computerized Electrocardiology.

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Journal:  J Am Coll Cardiol       Date:  2009-03-17       Impact factor: 24.094

4.  Autonomic nervous system influences on QT interval in normal subjects.

Authors:  Anthony R Magnano; Steve Holleran; Rajasekhar Ramakrishnan; James A Reiffel; Daniel M Bloomfield
Journal:  J Am Coll Cardiol       Date:  2002-06-05       Impact factor: 24.094

5.  Beneficial effect of pioglitazone on the outcome of catheter ablation in patients with paroxysmal atrial fibrillation and type 2 diabetes mellitus.

Authors:  Jun Gu; Xu Liu; Xinhua Wang; Haifeng Shi; Hongwei Tan; Li Zhou; Jianing Gu; Weifeng Jiang; Yuanlong Wang
Journal:  Europace       Date:  2011-05-07       Impact factor: 5.214

6.  The QT interval and risk of incident atrial fibrillation.

Authors:  Mala C Mandyam; Elsayed Z Soliman; Alvaro Alonso; Thomas A Dewland; Susan R Heckbert; Eric Vittinghoff; Steven R Cummings; Patrick T Ellinor; Bernard R Chaitman; Karen Stocke; William B Applegate; Dan E Arking; Javed Butler; Laura R Loehr; Jared W Magnani; Rachel A Murphy; Suzanne Satterfield; Anne B Newman; Gregory M Marcus
Journal:  Heart Rhythm       Date:  2013-07-18       Impact factor: 6.343

7.  Catheter ablation of atrial fibrillation in patients with diabetes mellitus type 2: results from a randomized study comparing pulmonary vein isolation versus antiarrhythmic drug therapy.

Authors:  Giovanni B Forleo; Massimo Mantica; Lucia De Luca; Roberto Leo; Luca Santini; Stefania Panigada; Valerio De Sanctis; Augusto Pappalardo; Francesco Laurenzi; Andrea Avella; Michela Casella; Antonio Dello Russo; Francesco Romeo; Gemma Pelargonio; Claudio Tondo
Journal:  J Cardiovasc Electrophysiol       Date:  2008-09-03

8.  Age-related changes in cellular electrophysiology and calcium handling for atrial fibrillation.

Authors:  Guo-Jun Xu; Tian-Yi Gan; Bao-Peng Tang; Zu-Heng Chen; Tao Jiang; Jian-Guo Song; Xia Guo; Jin-xin Li
Journal:  J Cell Mol Med       Date:  2013-07-09       Impact factor: 5.310

Review 9.  Measurement and regulation of cardiac ventricular repolarization: from the QT interval to repolarization morphology.

Authors:  Jean-Philippe Couderc
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-04-13       Impact factor: 4.226

10.  Prevalence of abnormal glucose metabolism in atrial fibrillation: a case control study in 75-year old subjects.

Authors:  Odd Erik Johansen; Ellen Brustad; Steve Enger; Arnljot Tveit
Journal:  Cardiovasc Diabetol       Date:  2008-09-28       Impact factor: 9.951

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