Skip to main content
Log in

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

  • Published:
Journal of Huazhong University of Science and Technology [Medical Sciences] Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Johansen OE, Brustad E, Enger S, et al. Prevalence of abnormal glucose metabolism in atrial fibrillation: a case control study in 75-year old subjects. Cardiovasc Diabetol, 2008,7(1):1179–1199

    Article  Google Scholar 

  2. Du X, Ninomiya T, de Galan B, et al. Risks of cardiovascular events and effects of routine blood pressure lowering among patients with type 2 diabetes and atrial fibrillation: results of the ADVANCE study. Eur Heart J, 2009,30(9):1128–1135

    Article  PubMed  Google Scholar 

  3. Camm AJ, Lip GY, De Caterina R, et al. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. Eur Heart J, 2012,33(21):2719–2747

    PubMed  Google Scholar 

  4. January CT, Wann LS, Alpert JS, et al. 2014 AHA/ACC/HRS Guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. Circulation, 2014,130(23):2071–2104

    Article  PubMed  Google Scholar 

  5. Tang RB, Dong JZ, Liu XP, et al. Safety and efficacy of catheter ablation of atrial fibrillation in patients with diabetes mellitus—single center experience. J Interv Card Electrophysiol, 2006,17(1):41–46

    Article  PubMed  Google Scholar 

  6. Forleo GB, Mantica M, De Luca L, et al. 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. J Cardiovasc Electrophysiol, 2008,20(1):22–28

    Article  PubMed  Google Scholar 

  7. Gu J, Liu X, Wang X, et al. Beneficial effect of pioglitazone on the outcome of catheter ablation in patients with paroxysmal atrial fibrillation and type 2 diabetes mellitus. Europace, 2011,13(9):1256–1261

    Article  PubMed  Google Scholar 

  8. Lu ZH, Liu N, Bai R, et al. HbA1c levels as predictors of ablation outcome in type 2 diabetes mellitus and paroxysmal atrial fibrillation. Herz, 2015,40(Suppl 2):130–136

    Article  PubMed  Google Scholar 

  9. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation, 2010,122(25):e584-e636

    Article  Google Scholar 

  10. Veglio M, Bruno G, Borra M, et al. Prevalence of increased QT interval duration and dispersion in type 2 diabetic patients and its relationship with coronary heart disease: a population-based cohort. J Intern Med, 2002,251(4):317–324

    Article  CAS  PubMed  Google Scholar 

  11. Li X, Ren H, Xu ZR, et al. Prevalence and risk factors of prolonged QTc interval among Chinese patients with type 2 diabetes. Exp Diabetes Res, 2012,2012:234084

    PubMed  PubMed Central  Google Scholar 

  12. Cox AJ, Azeem A, Yeboah J, et al. Heart rate-corrected QT interval is an independent predictor of all-cause and cardiovascular mortality in individuals with Type 2 diabetes: the diabetes heart study. Diabetes Care, 2014,37(5):1454–1461

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Mandyam MC, Soliman EZ, Alonso A, et al. The QT interval and risk of incident atrial fibrillation. Heart Rhythm, 2013,10(10):1562–1568

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nielsen JB, Graff C, Pietersen A, et al. J-shaped association between QTc interval duration and the risk of atrial fibrillation: Results from the Copenhagen ECG study. J Am Coll Cardiol, 2013,61(25):2557–2564

    Article  PubMed  Google Scholar 

  15. Wen SN, Liu N, Li SN, et al. QTc Interval prolongation predicts arrhythmia recurrence after catheter ablation of atrial fibrillation in patients With hypertrophic cardiomyopathy. Circ J, 2015,79(5):1024–1030

    Article  PubMed  Google Scholar 

  16. Fuster V, Rydén LE, Cannom DS, et al. ACC/AHA/ESC 2006 Guidelines for the Management of Patients with Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Revise the 2001 Guidelines for the Management of Patients With Atrial Fibrillation): developed in collaboration with the European Heart Rhythm Association and the Heart Rhythm Society. Circulation, 2006,114(7):e257–e354

    Article  Google Scholar 

  17. American Diabetes Association. Executive summary: standards of medical care in diabetes—2011. Diabetes Care, 2011,34(Suppl 1):S11–61

    Article  PubMed Central  Google Scholar 

  18. Gage BF, Waterman AD, Shannon W, et al. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA, 2001,285(22):2864–2870

    Article  CAS  PubMed  Google Scholar 

  19. Medi C, Sparks PB, Morton JB, et al. Pulmonary vein antral isolation for paroxysmal atrial fibrillation: results from long-term follow-up. J Cardiovasc Electrophysiol, 2011,22(2):137–141

    CAS  PubMed  Google Scholar 

  20. Weerasooriya R, Khairy P, Litalien J, et al. Catheter ablation for atrial fibrillation: are results maintained at 5 years of follow-up? J Am Coll Cardiol, 2011,57(2):160–166

    Article  PubMed  Google Scholar 

  21. Cai L, Yin Y, Ling Z, et al. Predictors of late recurrence of atrial fibrillation after catheter ablation. Int J Cardiol, 2013,164(1):82–87

    Article  PubMed  Google Scholar 

  22. Soran H, Younis N, Currie P, et al. Influence of diabetes on the maintenance of sinus rhythm after a successful direct current cardioversion in patients with atrial fibrillation. Q J Med, 2008,101(3):181–187

    Article  CAS  Google Scholar 

  23. Chao TF, Suenari K, Chang SL, et al. Atrial substrate properties and outcome of catheter ablation in patients with paroxysmal atrial fibrillation associated with diabetes mellitus or impaired fasting glucose. Am J Cardiol, 2010,106(11):1615–1620

    Article  CAS  PubMed  Google Scholar 

  24. Rautaharju PM, Surawicz B, Gettes LS, et al. 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. J Am Coll Cardiol, 2009,53(11):982–991

    PubMed  Google Scholar 

  25. Christensen PK, Gall MA, Major-Pedersen A, et al. QTc interval length and QT dispersion as predictors of mortality in patients with non-insulin-dependent diabetes. Scand J Clin Lab Invest, 2000,60(4):323–332

    Article  CAS  PubMed  Google Scholar 

  26. Hashimoto Y, Tanaka M, Senmaru T, et al. Heart rate-corrected QT interval is a novel risk marker for the progression of albuminuria in people with type 2 diabetes. Diabet Med, 2015,32(9):1221–1226

    Article  CAS  PubMed  Google Scholar 

  27. Straus SM, Kors JA, De Bruin ML, et al. Prolonged QTc interval and risk of sudden cardiac death in a population of older adults. J Am Coll Cardiol, 2006,47(2):362–367

    Article  PubMed  Google Scholar 

  28. Zhang Y, Post WS, Blasco-Colmenares E, et al. Electrocardiographic QT interval and mortality: a meta-analysis. Epidemiology, 2011,22(5):660–670

    Article  PubMed  PubMed Central  Google Scholar 

  29. Okin PM, Devereux RB, Lee ET, et al. Electrocardiographic repolarization complexity and abnormality predict all-cause and cardiovascular mortality in diabetes: the strong heart study. Diabetes, 2004,53(2):434–440

    Article  CAS  PubMed  Google Scholar 

  30. Ziegler D, Zentai CP, Perz S, et al. Prediction of mortality using measures of cardiac autonomic dysfunction in the diabetic and nondiabetic population: the MONICA/KORA Augsburg Cohort Study. Diabetes Care, 2008,31(3):556–561

    Article  PubMed  Google Scholar 

  31. Otake H, Suzuki H, Honda T, et al. Influences of autonomic nervous system on atrial arrhythmogenic substrates and the incidence of atrial fibrillation in diabetic heart. Int Heart J, 2009,50(5):627–641

    Article  PubMed  Google Scholar 

  32. Magnano AR, Holleran S, Ramakrishnan R, et al. Autonomic nervous system influences on QT interval in normal subjects. J Am Coll Cardiol, 2002,39(11):1820–1826

    Article  PubMed  Google Scholar 

  33. Magnano AR, Talathoti N, Hallur R, et al. Sympathomimetic infusion and cardiac repolarization: the normative effects of epinephrine and isoproterenol in healthy subjects. J Cardiovasc Electrophysiol, 2006,17(9):983–989

    Article  PubMed  Google Scholar 

  34. Couderc JP. Measurement and regulation of cardiac ventricular repolarization: from the QT interval to repolarization morphology. Philos Trans R Soc A, 2009,367(1892):1283–1299

    Article  Google Scholar 

  35. Nerbonne JM, Kass RS. Molecular physiology of cardiac repolarization. Physiol Rev, 2005,85(4):1205–1253

    Article  CAS  PubMed  Google Scholar 

  36. Byrd GD, Prasad SM, Ripplinger CM, et al. Importance of geometry and refractory period in sustaining atrial fibrillation: testing the critical mass hypothesis. Circulation, 2005,112(9 Suppl):I7–13

    Article  PubMed  Google Scholar 

  37. Xu GJ, Gan TY, Tang BP, et al. Age-related changes in cellular electrophysiology and calcium handling for atrial fibrillation. J Cell Mol Med, 2013,17(9):1109–1118

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Kirchhof P, Eckardt L, Franz MR, et al. Prolonged atrial action potential durations and polymorphic atrial tachyarrhythmias in patients with long QT syndrome. J Cardiovasc Electrophysiol, 2003,14(10):1027–1033

    Article  PubMed  Google Scholar 

  39. Zhuang J, Wang Y, Tang K, et al. Association between left atrial size and atrial fibrillation recurrence after single circumferential pulmonary vein isolation: a systematic review and meta-analysis of observational studies. Europace, 2012,14(5):638–645

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian-zeng Dong  (董建增).

Additional information

This study was supported by grants from the Ministry of Science and Technology of the People’s Republic of China (No. 2013BAI09B02 and No. 2013DFB30310), Beijing Municipal Commission of Science and Technology (No. D131100002- 313001), and the National Science Foundation Council of China (Nos. 81170168, 81370290, 81370292 and 81470465).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, N., Wu, Xy., Ma, Cs. et al. QTc interval predicts outcome of catheter ablation in paroxysmal atrial fibrillation patients with type 2 diabetes mellitus. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 36, 646–652 (2016). https://doi.org/10.1007/s11596-016-1640-5

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11596-016-1640-5

Keywords

Navigation