Dergiler / The Anatolian Journal of Cardiology / 2017 / Cilt: 18 - Sayı: 6

Impact of long-term glycemic variability on development of atrial fibrillation in type 2 diabetic patients

Sayfa
410–416
DOI
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Receiver operating curve analysis identified thresholds for HbA1c-SD (0.665%, sensitivity 71.4%, specificity 54.9%) and HbA1c-CV (8.970%, sensitivity 73.8%, specificity 47.1%) to detect new-onset AF development.Conclusion: In patients with T2DM, higher HbA1c variability is significantly associated with future AF development.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Objective: It is well known that patients with type 2 diabetes mellitus (T2DM) have a high risk of atrial fibrillation (AF).
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Temel Bulgular & Veri:The current study was designed to determine the relationship between long-term glycemic variability and incidence of new-onset AF in T2DM patients.Methods: Between January 2008 and December 2009, we conducted a retrospective cohort study in patients with T2DM referred to our hospital.
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Sonuç & Katkı:Receiver operating curve analysis identified thresholds for HbA1c-SD (0.665%, sensitivity 71.4%, specificity 54.9%) and HbA1c-CV (8.970%, sensitivity 73.8%, specificity 47.1%) to detect new-onset AF development.Conclusion: In patients with T2DM, higher HbA1c variability is significantly associated with future AF development.
🔬Tür:Araştırma Makalesi
📍Kapsam:2008 Verileri
⚙️Değişkenler:Alan Parametreleri

Abstract

Objective: It is well known that patients with type 2 diabetes mellitus (T2DM) have a high risk of atrial fibrillation (AF). The current study was designed to determine the relationship between long-term glycemic variability and incidence of new-onset AF in T2DM patients.Methods: Between January 2008 and December 2009, we conducted a retrospective cohort study in patients with T2DM referred to our hospital. In 505 consecutive patients without any medical history of AF at baseline, the relationship between hemoglobin A1c (HbA1c) variability and future AF incidence was evaluated, with adjustments for other possible confounding factors. HbA1c variability was determined by standard deviation (SD) and coefficient of variation (CV).Results: Over a median of 6.9-year follow-up period, 48 patients (9.5%) developed incident AF. Multiple cox regression revealed that higher HbA1c-SD (HR: 1.726, 95% CI: 1.104-1.830, p=0.001) or HbA1c-CV (HR: 1.241, 95% CI: 1.029-1.497, p=0.024) remained the remarkable predictor of new-onset AF after adjusting for age, body mass index, left ventricular mass index, and left atrium diameter. Receiver operating curve analysis identified thresholds for HbA1c-SD (0.665%, sensitivity 71.4%, specificity 54.9%) and HbA1c-CV (8.970%, sensitivity 73.8%, specificity 47.1%) to detect new-onset AF development.Conclusion: In patients with T2DM, higher HbA1c variability is significantly associated with future AF development.

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Bu Makaleye Atıf Yap

GU, J., FAN, Y., ZHANG, J., WANG, C. (2017). Impact of long-term glycemic variability on development of atrial fibrillation in type 2 diabetic patients. The Anatolian Journal of Cardiology, Cilt: 18 - Sayı: 6, 410–416. https://ajindex.com/articles/365386

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Kaynakça (9)

  1. Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, et al. Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose). National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 2011; 378: 31-40. 2. van Dieren S, Beulens JW, van der Schouw YT, Grobbee DE, Neal B. The global burden of diabetes and its complications: an emerging pandemic. Eur J Cardiovasc Prev Rehabil 2010; 17 Suppl 1: S3-8
  2. Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J 2016; 37: 2893-962
  3. Yang HK, Kang B, Lee SH, Yoon KH, Hwang BH, Chang K, et al. Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes. J Diabetes Complications 2015; 29: 776-82
  4. Wan EY, Fung CS, Fong DY, Lam CL. Association of variability in hemoglobin A1c with cardiovascular diseases and mortality in Chinese patients with type 2 diabetes mellitus - A retrospective population-based cohort study. J Diabetes Complications 2016; 30: 1240-7
  5. Takao T, Matsuyama Y, Yanagisawa H, Kikuchi M, Kawazu S. Association between HbA1c variability and mortality in patients with type 2 diabetes. J Diabetes Complications 2014; 28: 494-9 7. Gu J, Fan YQ, Bian L, Zhang HL, Xu ZJ, Zhang Y, et al. Long-term prescription of beta-blocker delays the progression of heart failure with preserved ejection fraction in patients with hypertension: A retrospective observational cohort study. Eur J Prev Cardiol 2016; 23: 1421-8
  6. Gu J, Fan YQ, Han ZH, Fan L, Bian L, Zhang HL, et al. Association between long-term prescription of aldosterone antagonist and the progression of heart failure with preserved ejection fraction in hypertensive patients. Int J Cardiol 2016; 220: 56-60
  7. Schoen T, Pradhan AD, Albert CM, Conen D. Type 2 diabetes mellitus and risk of incident atrial fibrillation in women. J Am Coll Cardiol 2012; 60: 1421-8
  8. Huxley RR, Filion KB, Konety S, Alonso A. Meta-analysis of cohort and case-control studies of type 2 diabetes mellitus and risk of atrial fibrillation. Am J Cardiol 2011; 108: 56-62
  9. Iguchi Y, Kimura K, Shibazaki K, Aoki J, Sakai K, Sakamoto Y, et al. HbA1c and atrial fibrillation: a cro