Hemoglobin A1c and risk of left atrial thrombus and spontaneous echo contrast in non-valvular atrial fibrillation patients
- Rong-Ren Kuang†1, 3,
- Fang-Zhou Liu†2,
- Yun-Peng Li1,
- Wei-Dong Lin2,
- Hua-Sheng Liang2 and
- Ai-Hua Chen1Email author
© The Author(s) 2017
Received: 13 August 2015
Accepted: 19 April 2017
Published: 21 April 2017
To evaluate the relationship between hemoglobin A1c (HbA1c) and risk of left atrial thrombus/spontaneous echo contrast (LAT/SEC) in non-valvular atrial fibrillation (AF) patients.
In this retrospective study, 1158 consecutive non-valvular AF patients undergoing transesophageal echocardiography prior to radiofrequency catheter ablation or electric cardioversion were enrolled. Baseline characteristics were collected and analyzed.
There were 87 (7.5%) patients with LAT/SEC. The HbA1c levels in the patients with LAT/SEC were significantly higher than that in patients without LAT/SEC (6.13 ± 0.41 vs. 5.89 ± 0.45 μmol/L, P < 0.001). The optimal cut-off point for HbA1c predicting LAT/SEC was 6.1% determined by receiver-operating characteristic curve. The area under the curve is 0.788 (95% confidence interval: 0.764–0.812). HbA1c ≥6.1% was an independent risk factor for LAT/SEC (odds ratio, 1.74; 95% confidence interval, 1.01–2.98; P = 0.045).
Elevated HbA1c indicated a significantly increased risk for LAT/SEC in non-valvular AF patients. HbA1c might have significance in predicting the risk for prothrombotic state in non-valvular AF patients.
Atrial fibrillation (AF), known as the most common sustained form of rhythm disturbance, adversely affects the quality of life of millions of people . AF is independently associated with a fivefold increased risk of stroke [2, 3]. Approximately 90% of cerebral thromboembolism generate from left atrium in non-valvular AF patients . Left atrial thrombus (LAT) and spontaneous echo contrast (SEC) are known to be independent predictors of a higher incidence of embolic events [5, 6]. So LAT/SEC detected by transesophageal echocardiography (TEE) may be regarded as a pre-thromboembolic status.
Elevated hemoglobin A1c (HbA1c) is a well-known marker of chronic hyperglycemia. It is directly associated with stroke risk . Elevated HbA1c is also associated with the risk of poor outcome and mortality in ischemic stroke patients with or without diabetes . However, the relationship between HbA1c and LAT/SEC has not been established. The aim of the current study was to evaluate the relationship between HbA1c and risk of LAT/SEC in non-valvular AF patients with or without diabetes.
From July 2009 to May 2014, 1203 consecutive AF patients who underwent TEE prior to radiofrequency catheter ablation (RFCA) or electric cardioversion were screened in a retrospectively established database provided by Guangzhou Zhujiang Hospital and Guangdong cardiovascular institute. The patients with the following conditions were excluded: (1) structural heart disease, including congenital heart disease, rheumatic heart disease, valvular heart disease, infective endocarditis, history of cardiothoracic surgery, and cardiomyopathy; (2) factors influencing HbA1c, such as anemia, chronic renal failure, chronic liver disease, rheumatoid arthritis; (3) patients who refused to participate in the study. Finally, 1158 patients were included in the analyses. After admission, warfarin and antiplatelet medications were discontinued, and all the patients received subcutaneous low-molecular weight heparin (Enoxaparin, Sanofi-Aventis, France) twice per day as bridge therapy. Baseline characteristics were collected at admission, such as sex, age, and medical history (type of AF, heart failure, hypertension, diabetes mellitus, stroke/TIA, vascular disease, and so on). The patients underwent physical examinations, including blood pressure, electrocardiography, echocardiography, TEE, and blood testing (HbA1c, Uric acid, D-dimer, and low-density lipoprotein cholesterol). Patients were categorized into LAT/SEC group and non-LAT/SEC group by TEE results. The Ethics Study Committee at Guangdong General Hospital approved the study protocols, and informed consent was not necessary because of the observational nature of this study. The information of all of the patients was anonymized and de-identified prior to analysis.
Blood samples for HbA1c were obtained on the first 24 h after admission. HbA1c was estimated using the high-performance liquid chromatography analysis on the D-10 Hemoglobin Testing System (Bio-Rad Laboratories, California, USA).
All patients received local pharyngeal anesthesia (1% lidocaine spray) before TEE examination. The patient lay supine in the left lateral position when the transesophageal probe was introduced. Live images were interpreted by experienced physicians. LAT was diagnosed if a well-circumscribed echogenic mass detected in the appendage or body of the atrium appeared to be distinct from the underlying endocardium, was not caused by pectinate muscles, and was detected in >1 imaging plane. SEC was diagnosed if dynamic smog-like echoes appeared in the appendage or body of the atrium with a characteristic swirling motion distinct from a white noise artifact after properly adjusting the gain setting .
CHADS2 score and CHA2DS2-VASc score
Stroke risk was then evaluated by CHADS2 score and CHA2DS2-VASc score . The CHADS2 score was calculated as follows: 2 points were assigned for a history of stroke/TIA and 1 point was assigned for congestive heart failure, hypertension, age older than 75 years, and diabetes mellitus (DM). CHA2DS2-VASc score was calculated as follows: 2 points for a history of stroke or TIA, or age ≥75; and 1 point for age 65–74 years, history of hypertension, DM, recent cardiac failure, vascular disease, and female sex.
Continuous variables are expressed as the mean ± SD, whereas categorical variables are expressed as numbers and proportions. Student t test or one-way ANOVA analysis was performed to compare the significance of differences in continuous or categorical variables. Mann–Whitney U test was performed when variables were not in normal distribution. To compare categorical variables, Chi square test or Fisher exact test was performed. The receiver-operating characteristic (ROC) curve analysis was performed to assess the efficiency of HbA1c in predicting LAT/SEC. The ROC curve was constructed by plotting sensitivity vs. 1-specificity. The area under the curve (AUC) and associated 95% CI were calculated. The optimal cut-off points for the variables predicting LAT/SEC were determined by the ROC curve. Multivariate logistic regression analysis was performed to identify the potential independent predictors for LAT/SEC. Results were considered significant for values of P < 0.05. All statistical analyses were carried out using IBM SPSS Statistics 19.0 (IBM Inc., NY, USA).
Baseline characteristics of participants
LAT/SEC group (n = 87)
Non-LAT/SEC group (n = 1071)
61.47 ± 10.78
56.54 ± 12.30
Female, n (%)
Non-paroxysmal AF, n (%)
Type 2 diabetes mellitus, n (%)
Hypertension, n (%)
Stroke/TIA, n (%)
Heart failure, n (%)
Vascular disease, N (%)
COPD, N (%)
Age ≥65, N (%)
Age ≥75, N (%)
46.79 ± 4.67
45.84 ± 4.54
41.36 ± 5.58
36.29 ± 5.66
63.86 ± 6.89
65.79 ± 7.02
Uric acid, (μmol/L)
395.98 ± 99.68
356.49 ± 78.04
6.13 ± 0.41
5.89 ± 0.45
3.06 ± 0.93
2.90 ± 0.81
220.45 ± 210.42
247.87 ± 439.71
1.64 ± 1.27
0.76 ± 0.66
2.71 ± 1.68
1.45 ± 1.30
Multivariate logistic regression analysis for LAT/SEC
Type 2 diabetes mellitus
Age ≥65 years
Age ≥75 years
LA dimension ≥40 mm
In this study we investigated the relationship between HbA1c and risk of LAT/SEC in a total of 1158 non-valvular AF patients of southern China with or without diabetes. We found HbA1c levels were significantly higher in LAT/SEC group; HbA1c ≥6.1% was an independent risk factor for LAT/SEC in AF patients; and it was a moderate predictive value for LAT/SEC. So HbA1c might have significance in predicting the risk for prothrombotic state in non-valvular AF patients.
Radiofrequency catheter ablation are often used to restore sinus rhythm in AF patients. It is associated with an increased risk for stroke. TEE is the most sensitive and specific technique to detect left atrium/left atrial appendage (LA/LAA) thrombi as a potential source of thromboembolic events such as ischemic stroke. TEE can also detect features associated with an increased risk of LA/LAA thrombus formation, including reduced LAA flow velocity and SEC . So the use of TEE to guide the management of AF is a validated strategy for AF patients before RFCA. At present, 2 stroke risk stratification schemes have been widely used in clinical practice, including the CHADS2 score and the CHA2DS2-VASc score. However, these 2 schemes have only modest predictive value for “high-risk” patients, with a c-statistic of approximately 0.6 . Thus, many potential risk factors need to be assessed.
HbA1c is a kind of β-N-(1-deoxy)-fructosyl hemoglobin contained within the red blood cell which is glycated in varying amounts depending on blood glucose levels over time. This protein can be found in the red blood cell for its entire life span of approximately 120 days , so HbA1c levels could reflect the mean glucose range for the previous 2–3 months in patients with or without diabetes mellitus. HbA1c testing does not require patients to fast and its intra individual variability is small, so it is a good value for hyperglycemic and diabetic diagnosis and monitoring. Moreover, HbA1c testing also can find pre-diabetic status. Recent studies have shown that HbA1c is related to the onset of AF. Dublin et al. found diabetes was associated with higher risk of developing AF, and risk was higher with worse glycemic control defined by higher HbA1c . Sandhu et al. also found increasing HbA1c levels were preferentially associated with the early development of non-paroxysmal AF in women without AF or cardiovascular disease (CVD) at baseline . Another study showed that the level of HbA1c, especially in patients with HbA1c >6.5%, was associated with AF occurrence . The precise pathophysiologic mechanisms of how AF is associated with HbA1c are not yet well known. The proposed mechanisms may include autonomic remodeling, structural remodeling, electrical remodeling, electromechanical remodeling, connexin remodeling, and oxidative stress .
Many studies demonstrated that HbA1c is associated with thromboembolic events. Ikeda et al. reported that elevated HbA1c levels even within non-diabetic level are an independent risk factor for CVD, especially coronary heart disease and ischaemic stroke. With regard to CVD subtype, the positive associations between HbA1c levels and the risk of ischaemic stroke were significant . Oh et al. also found higher HbA1c indicated a significantly increased risk for ischemic stroke after adjusting for other confounding variables in non-diabetic Korean adult males . Saliba et al. demonstrated Glycated hemoglobin is directly associated with stroke risk, and it improves the predictive accuracy for stroke in diabetic patients with AF . However, the relationship between HbA1c and LAT/SEC remains unknown. In the present study, we found that elevated HbA1c level is associated with increased risk for LAT/SEC in non-valvular AF patients, so it could be a predictor of LAT/SEC in patients with non-valvular AF.
Hyperglycemia plays an important role in the development of many abnormalities including endothelial dysfunction, platelets hyperreactivity, increased coagulability, and fibrinolytic impairment . Glycosylation is a non-enzymatic reaction induced by chronic hyperglycaemia. HbA1c is a precursor of advanced glycation end products (AGEs) known as one of glycosylation’s products. AGEs elicit oxidative stress, inflammatory reactions, and thrombosis, thereby being involved in vascular damage [21, 22]. Hence, elevated HbA1c levels promote LAT/SEC in non-valvular AF patients.
Although this was not a prospective cohort study, we hypothesize that LAT/SEC in non-valvular AF patients may be influenced by HbA1c level. In order to prevent the LAT/SEC, a regimen to lower HbA1c, such as nutrition control and physical exercise and glucose control by drug therapy may be recommended.
Several limitations have been identified in the present study. Firstly, the present study is a retrospective study, which needs more research in the future. Secondly, the exact mechanism of HbA1c levels linking to LAT/SEC has not been well explored. Thirdly, the population in this study might not reflect the general AF population, because the subjects in this study were from southern China. Finally, considering the possible gender differences, we also failed to show the usefulness of HbA1c as a predictor of LAT/SEC with different genders.
Elevated HbA1c level is associated with increased risk for LAT/SEC in non-valvular AF patients. HbA1c might have significance in predicting the risk for prothrombotic state in non-valvular AF patients. Control of glycemic metabolism may play an important role in reducing the risk for LAT/SEC, especially for subjects with HbA1c ≥6.1%.
RK and FL made conception, study design, and wrote the manuscript. YL, WL and HL performed acquisition, analysis and interpretation of data, and reviewed the manuscript. AC participated in study design and coordination, and has been involved in revising critically the manuscript and has given final approval of the version to be published. All authors read and approved the final manuscript.
We would like to express special thanks to our colleagues in Guangzhou Zhujiang Hospital and Guangdong cardiovascular institute, Guangzhou, China.
The authors declare that they have no competing interests.
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- Aliot E, Breithardt G, Brugada J, Camm J, Lip GY, Vardas PE, et al. An international survey of physician and patient understanding, perception, and attitudes to atrial fibrillation and its contribution to cardiovascular disease morbidity and mortality. Europace. 2010;12:626–33.View ArticlePubMedPubMed CentralGoogle Scholar
- Miller PS, Andersson FL, Kalra L. Are cost benefits of anticoagulation for stroke prevention in atrial fibrillation underestimated? Stroke. 2005;36:360–6.View ArticlePubMedGoogle Scholar
- Kannel WB, Wolf PA, Benjamin EJ, Levy D. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am J Cardiol. 1998;82:2N–9N.View ArticlePubMedGoogle Scholar
- Blackshear JL, Odell JA. Appendage obliteration to reduce stroke in cardiac surgical patients with atrial fibrillation. Ann Thorac Surg. 1996;61:755–9.View ArticlePubMedGoogle Scholar
- Bernhardt P, Schmidt H, Hammerstingl C, Luderitz B, Omran H. Atrial thrombi-a prospective follow-up study over 3 years with transesophageal echocardiography and cranial magnetic resonance imaging. Echocardiography. 2006;23:388–94.View ArticlePubMedGoogle Scholar
- Bernhardt P, Schmidt H, Hammerstingl C, Luderitz B, Omran H. Patients with atrial fibrillation and dense spontaneous echo contrast at high risk a prospective and serial follow-up over 12 months with transesophageal echocardiography and cerebral magnetic resonance imaging. J Am Coll Cardiol. 2005;45:1807–12.View ArticlePubMedGoogle Scholar
- Saliba W, Barnett-Griness O, Elias M, Rennert G. Glycated hemoglobin and risk of first episode stroke in diabetic patients with atrial fibrillation: a cohort study. Heart Rhythm. 2015;12:886–92.View ArticlePubMedGoogle Scholar
- Lei C, Wu B, Liu M, Chen Y. Association between hemoglobin A(1)C levels and clinical outcome in ischemic stroke patients with or without diabetes. J Clin Neurosci. 2015;22:498–503.View ArticlePubMedGoogle Scholar
- Romero J, Cao JJ, Garcia MJ, Taub CC. Cardiac imaging for assessment of left atrial appendage stasis and thrombosis. Nat Rev Cardiol. 2014;11:470–80.View ArticlePubMedGoogle Scholar
- Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest. 2010;137:263–72.View ArticlePubMedGoogle Scholar
- January CT, Wann LS, Alpert JS, Calkins H, Cigarroa JE, Cleveland JJ, 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. J Am Coll Cardiol. 2014;64:e1–76.View ArticlePubMedGoogle Scholar
- Kornej J, Apostolakis S, Bollmann A, Lip GY. The emerging role of biomarkers in atrial fibrillation. Can J Cardiol. 2013;29:1181–93.View ArticlePubMedGoogle Scholar
- Gonzalez-Gonzalez JG, Rodriguez-Gutierrez R, Lavalle-Gonzalez FJ, Gonzalez-Cantu A, Tamez-Perez HE, Gonzalez-Saldivar G, et al. Hemoglobin A1c: a reliable and accurate test for diabetes care? A prospective study in Mexico. Salud Publica Mex. 2013;55:462–8.View ArticlePubMedGoogle Scholar
- Fatemi O, Yuriditsky E, Tsioufis C, Tsachris D, Morgan T, Basile J, et al. Impact of intensive glycemic control on the incidence of atrial fibrillation and associated cardiovascular outcomes in patients with type 2 diabetes mellitus (from the action to control cardiovascular risk in diabetes study). Am J Cardiol. 2014;114:1217–22.View ArticlePubMedPubMed CentralGoogle Scholar
- Sandhu RK, Conen D, Tedrow UB, Fitzgerald KC, Pradhan AD, Ridker PM, et al. Predisposing factors associated with development of persistent compared with paroxysmal atrial fibrillation. J Am Heart Assoc. 2014;3:e916.View ArticleGoogle Scholar
- Iguchi Y, Kimura K, Shibazaki K, Aoki J, Sakai K, Sakamoto Y, et al. HbA1c and atrial fibrillation: a cross-sectional study in Japan. Int J Cardiol. 2012;156:156–9.View ArticlePubMedGoogle Scholar
- Goudis CA, Korantzopoulos P, Ntalas IV, Kallergis EM, Liu T, Ketikoglou DG. Diabetes mellitus and atrial fibrillation: pathophysiological mechanisms and potential upstream therapies. Int J Cardiol. 2015;184:617–22.View ArticlePubMedGoogle Scholar
- Ikeda F, Doi Y, Ninomiya T, Hirakawa Y, Mukai N, Hata J, et al. Haemoglobin A1c even within non-diabetic level is a predictor of cardiovascular disease in a general Japanese population: the Hisayama Study. Cardiovasc Diabetol. 2013;12:164.View ArticlePubMedPubMed CentralGoogle Scholar
- Oh HG, Rhee EJ, Kim TW, Lee KB, Park JH, Yang KI, et al. Higher glycated hemoglobin level is associated with increased risk for ischemic stroke in non-diabetic korean male adults. Diabetes Metab J. 2011;35:551–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Lemkes BA, Hermanides J, Devries JH, Holleman F, Meijers JC, Hoekstra JB. Hyperglycemia: a prothrombotic factor? J Thromb Haemost. 2010;8:1663–9.View ArticlePubMedGoogle Scholar
- Makita Z, Vlassara H, Rayfield E, Cartwright K, Friedman E, Rodby R, et al. Hemoglobin-AGE: a circulating marker of advanced glycosylation. Science. 1992;258:651–3.View ArticlePubMedGoogle Scholar
- Yamagishi S. Role of advanced glycation end products (AGEs) and receptor for AGEs (RAGE) in vascular damage in diabetes. Exp Gerontol. 2011;46:217–24.View ArticlePubMedGoogle Scholar