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HbA1c levels as predictors of ablation outcome in type 2 diabetes mellitus and paroxysmal atrial fibrillation

HbA1c-Wert als Prädiktor für das Ergebnis der Ablation bei Diabetes mellitus Typ 2 und paroxysmalem Vorhofflimmern

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Abstract

Aims

The aim of this study was to evaluate whether the levels of HbA1c could predict the outcome of ablation in patients with type 2 diabetes mellitus (T2DM) and paroxysmal atrial fibrillation (PAF).

Patients and methods

The study comprised 149 consecutive patients with T2DM and PAF who underwent their first circumferential pulmonary vein isolation. HbA1c levels were measured before ablation. Cox proportional hazards models were constructed to assess the relationship between HbA1c levels and the recurrence of atrial fibrillation (AF).

Results

Of the 149 patients, 60 (40.3 %) developed AF recurrence after a median 12-month follow-up. Multivariate Cox regression analysis revealed that left atrium size and HbA1c were independent predictors of recurrent atrial tachyarrhythmia. Receiver operating characteristic analysis demonstrated that an HbA1c cut-off value of ≥ 6.9 % predicted recurrence with 55.0 % sensitivity and 67.4 % specificity (AUC = 0.634). The success rate of ablation was 69.0 % in patients with an HbA1c value of < 6.9 % compared with 46.8 % in those with an HbA1c value of ≥ 6.9 % (log-rank test, p = 0.004).

Conclusion

High levels of HbA1c were associated with an increased risk of recurrence of atrial tachyarrhythmia in patients with T2DM and PAF undergoing catheter ablation.

Zusammenfassung

Ziel

Ziel der vorliegenden Studie war zu untersuchen, ob der HbA1c-Wert das Ergebnis der Ablation bei Patienten mit Diabetes mellitus Typ 2 (T2DM) und paroxysmalem Vorhofflimmern (PAF) prognostizieren konnte.

Patienten und Methoden

In die Studie aufgenommen wurden 149 konsekutive Patienten mit T2DM und PAF, bei denen erstmals eine zirkumferenzielle Pulmonalvenenisolation erfolgte. Vor Ablation wurde der HbA1c-Wert bestimmt. Um den Zusammenhang zwischen HbA1c-Wert und einem Rezidiv des Vorhofflimmerns (AF) zu erfassen, wurden Proportional-Hazard-Modelle nach Cox erstellt.

Ergebnisse

Bei 60 (40,3 %) der 149 Patienten trat nach einer durchschnittlichen Nachbeobachtungsdauer von 12 Monaten ein VF-Rezidiv auf. Die multivariate Cox-Regressionsanalyse ergab, dass die Größe des linken Vorhofs und der HbA1c-Wert unabhängige Prädiktoren einer rezidivierenden Vorhoftachyarrhythmie waren. Die Receiver-operating-characteristics-Analyse zeigte, dass ein HbA1c-Grenzwert ≥ 6,9 % ein Rezidiv mit einer Sensitivität von 55,0 % und einer Spezifität von 67,4 % (Fläche unter der Kurve, AUC = 0,634) prognostizierte. Die Erfolgsrate der Ablation betrug 69,0 % bei Patienten mit einem HbA1c < 6,9 % gegenüber 46,8 % bei Patienten mit einem HbA1c ≥ 6,9 % (Log-Rank-Test, p = 0,004).

Schlussfolgerung

Hohe HbA1c-Werte gingen bei Patienten mit T2DM und PAF, bei denen eine Katheterablation erfolgte, mit einem erhöhten Rezidivrisiko für eine Vorhoftachyarrhythmie einher.

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References

  1. Lip GY, Varughese GI (2005) Diabetes mellitus and atrial fibrillation: perspectives on epidemiological and pathophysiological links. Int J Cardiol 105:319–321

    Article  PubMed  Google Scholar 

  2. Huxley RR, Filion KB, Konety S, Alonso A (2011) Meta-analysis of cohort and case-control studies of type 2 diabetes mellitus and risk of atrial fibrillation. Am J Cardiol 108(1):56–62

    Article  PubMed Central  PubMed  Google Scholar 

  3. Forleo GB, Mantica M, De Luca L et al (2009) 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 20(1):22–28

    Article  PubMed  Google Scholar 

  4. Joshi S, Choi AD, Kamath GS et al (2009) Prevalence, predictors, and prognosis of atrial fibrillation early after pulmonary vein isolation: findings from 3 months of continuous automatic ECG loop recordings. J Cardiovasc Electrophysiol 20(10):1089–1094

    Article  PubMed  Google Scholar 

  5. o A (1998) Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet 352(9131):837–853

    Article  Google Scholar 

  6. Selvin E, Marinopoulos S, Berkenblit G et al (2004) Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus. Ann Intern Med 141:421–431

    Article  CAS  PubMed  Google Scholar 

  7. Iguchi Y, Kimura K, Shibazaki K et al (2012) HbA1c and atrial fibrillation: a cross-sectional study in Japan. Int J Cardiol 156(2):156–159

    Article  PubMed  Google Scholar 

  8. American Diabetes Association (2010) Diagnosis and classification of diabetes mellitus. Diabetes Care 33:S62–S69

    Article  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  10. Levy S, Maarek M, Coumel P et al (1999) Characterization of different subsets of atrial fibrillation in general practice in France: the ALFA study. The College of French Cardiologists. Circulation 99:3028–3035

    Article  CAS  PubMed  Google Scholar 

  11. Du X, Ninomiya T, Galan B de et al (2009) 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 30:1128–1135

    Article  PubMed  Google Scholar 

  12. Santangeli P, Di Biase L, Al-Ahmad A et al (2012) Ablation as first-line therapy for atrial fibrillation: yes. Cardiac Electrophysiol Clin 4(3):287–297

    Article  Google Scholar 

  13. Issa Z, Miller JM, Zipes DP (2012) Clinical arrhythmology and electrophysiology: a companion to Braunwald’s heart disease, 2nd edn. p 357

  14. Hare MJL, Shaw JE, Zimmet PZ (2012) Current controversies in the use of haemoglobin A1c. J Intern Med 271:227–236

    Article  CAS  PubMed  Google Scholar 

  15. American Diabetes Association (2010) Standards of medical care in diabetes. Diabetes Care 33:S11–S61

    Article  Google Scholar 

  16. Huxley RR, Alonso A, Lopez FL, Filion KB et al (2012) Type 2 diabetes, glucose homeostasis and incident atrial fibrillation: the Atherosclerosis Risk in Communities study. Heart 98(2):133–138

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  17. Chao TF, Suenari K, Chang SL et al (2010) 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 106:1615–1620

    Article  CAS  PubMed  Google Scholar 

  18. Lo LW, Tai CT, Lin YJ et al (2007) Progressive remodeling of the atrial substrate-a novel finding from consecutive voltage mapping in patients with recurrence of atrial fibrillation after catheter ablation. J Cardiovasc Electrophysiol 18:258–265

    Article  PubMed  Google Scholar 

  19. Vrhovac B et al (1997) Interna medicina, 2nd edn. Naprijed, Zagreb, pp 1365–1390

  20. Monnier L, Mas E, Ginet C et al (2006) Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA 295(14):1681–1687

    Article  CAS  PubMed  Google Scholar 

  21. Liu C, Fu H, Li J et al (2012) Hyperglycemia aggravates atrial interstitial fibrosis, ionic remodeling and vulnerability to atrial fibrillation in diabetic rabbits. Anadolu Kardiyol Derg 12(7):543–550

    PubMed  Google Scholar 

  22. Basta G, Schmidt AM, De Caterina R (2004) Advanced glycation end products and vascular inflammation: implications for accelerated atherosclerosis in diabetes. Cardiovasc Res 63:582–592

    Article  CAS  PubMed  Google Scholar 

  23. Raposeiras-Roubín S, Rodiño-Janeiro BK, Grigorian-Shamagian L, Seoane-Blanco A et al (2012) Evidence for a role of advanced glycation end products in atrial fibrillation. Int J Cardiol 157(3):397–402

    Article  PubMed  Google Scholar 

  24. Van Heerebeek L, Hamdani N, Handoko ML et al (2008) Diastolic stiffness of the failing diabetic heart: importance of fibrosis, advanced glycation end products, and myocyte resting tension. Circulation 117:43–51

    Article  Google Scholar 

  25. Kato T, Yamashita T, Sekiguchi A et al (2006) What are arrhythmogenic substrates in diabetic rat atria? J Cardiovasc Electrophysiol 17(8):890–894

    Article  PubMed  Google Scholar 

  26. o A (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. N Engl J Med 329:977–986

    Article  Google Scholar 

  27. Khaykin Y, Morillo CA, Skanes AC et al (2007) Cost comparison of catheter ablation and medical therapy in atrial fibrillation. J Cardiovasc Electrophysiol 18:907–913

    Article  PubMed  Google Scholar 

  28. Berruezo A, Tamborero D, Mont L et al (2007) Pre-procedural predictors of atrial fibrillation recurrence after circumferential pulmonary vein ablation. Eur Heart J 28:836–841

    Article  PubMed  Google Scholar 

  29. Shigematsu Y, Norimatsu S, Ogimoto A et al (2009) The influence of insulin resistance and obesity on left atrial size in Japanese hypertensive patients. Hypertens Res 32:500–504

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This work was supported by the National Key Basic Research Program of China (973 program, no. 2013CB531105), a Beijing cardiovascular clinical data and sample repository development and application (no. D131100002313001), and a China arrhythmia registration study (C-rhythm, no. 2013BAI09B02), the National Natural Science Foundation of China (no. 81200141).

Compliance with ethical guidelines

Conflict of interest. Z.-H. Lu, N. Liu, B. Rai, Y. Yao, S.-N. Li, R.-H. Yu, C.-H. Sang, R.-B. Tang, D.-Y. Long, X. Du, J.-Z. Dong, and C.-S. Ma state that there are no conflicts of interest. All studies on humans described in the present manuscript were carried out with the approval of the responsible ethics committee and in accordance with national law and the Helsinki Declaration of 1975 (in its current, revised form). Informed consent was obtained from all patients included in studies.

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Correspondence to C.-S. Ma MD, PhD.

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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 40 (Suppl 2), 130–136 (2015). https://doi.org/10.1007/s00059-014-4154-6

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  • DOI: https://doi.org/10.1007/s00059-014-4154-6

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