Independent association of HbA1c and nonalcoholic fatty liver disease in an elderly Chinese population
© Ma et al.; licensee BioMed Central Ltd. 2013
Received: 23 August 2012
Accepted: 14 December 2012
Published: 7 January 2013
To investigate the association between serum glycosylated hemoglobin (HbA1c) levels and nonalcoholic fatty liver disease (NAFLD) in an elderly Chinese population.
A cross-sectional study was performed among the 949 retired elderly employees of Zhenhai Refining & Chemical Company Ltd., Ningbo, China.
A total of 257 (27.08%) subjects fulfilled the diagnostic criteria of NAFLD, and NAFLD patients had significantly higher serum HbA1c levels than controls (P <0.001). The prevalence of NAFLD was significantly higher in subjects with increased serum HbA1c level (HbA1c ≥6.5%) than in those with normal range of serum HbA1c level (51.71% vs. 25.20%; P <0.001), and the prevalence increased along with progressively higher serum HbA1c levels (P for trend <0.001). Stepwise logistic regression analysis showed that serum HbA1c level was significantly associated with the risk for NAFLD (odds ratio: 1.547, 95% confidence interval: 1.054 – 2.270; P =0.026).
Our results suggest that serum HbA1c level is associated with NAFLD, and increased serum HbA1c level is an independent risk factor for NAFLD in elderly Chinese.
KeywordsFatty liver Glycosylated hemoglobin Elderly Obesity
Nonalcoholic fatty liver disease (NAFLD) has become one of the most common chronic liver disease worldwide, and the condition affects one in four adults in the general population [1, 2]. The spectrum of NAFLD is wide ranging from simple steatosis through nonalcoholic steatohepatitis (NASH) to cirrhosis . Patients with simple steatosis appear to have benign progression, while patients with NASH may progress to cirrhosis and even hepatocellular carcinoma .
NAFLD is closely associated with the metabolic syndrome, a cluster of metabolic abnormalities including central obesity, hypertension, dyslipidaemia and type 2 diabetes [5, 6]. The metabolic syndrome, partly through glucose intolerance, is linearly linked with hepatic steatosis, fibrosis and cirrhosis, suggesting close connection between glycemic level and NAFLD . In addition, the prevalence of NAFLD increases as the increase of glycemic level . Glycemic ranges can be assessed by many methods, including glycosylated hemoglobin (HbA1c). HbA1c, reflecting average glycemia over the preceding 8 –12 weeks, is used to estimate chronic glycemic levels with 6.5% as the cutoff point to diagnose diabetes . However, when it comes to HbA1c, the association between NAFLD and glycemic levels has not been well documented so far.
NAFLD mainly occurs among middle-aged to older people, with a mean presentation age of 44–50 years [10, 11]. However, Koehler et al. observed that the prevalence of NAFLD was as high as 35.1% in the elderly . Recent studies also showed that age was an independent risk factor for NAFLD development [4, 13]. A large sample cross-sectional analysis revealed an independent association between HbA1c level and NAFLD in predominantly middle-aged subjects . Considering serum HbA1c level increases with age , middle-aged participants may probably not well represent the elderly population and not fully highlight the significance of HbA1c in NAFLD. For these reasons, clarifying the association between HbA1c level and NAFLD in elderly subjects may have significant clinical implications for the diagnosis and prevention of NAFLD by monitoring HbA1c level.
Here, we performed a cross-sectional study to investigate the association between HbA1c and NAFLD determined by ultrasonography in an elderly Chinese population.
Study design and subjects
This study was conducted among retired elderly employees (age ≥65 years) of Zhenhai Refining & Chemical Company Ltd. (Ningbo, China). All of the retired elderly employees who attended their annual health examination during the year of 2010 were initially enrolled. The following subjects were excluded: subjects with alcohol consumption greater than 140 g/week for males and 70 g/week for females, or subjects with a history of viral hepatitis, autoimmune hepatitis, or other forms of chronic liver disease. Moreover, subjects who were previously diagnosed as either diabetes or anemia were also excluded. The definition of anemia in our study was serum hemoglobin <120 g/L for males and < 110 g/L for females. A total of 949 eligible subjects were enrolled (603 males and 346 females, with mean age of 71.5 ± 4.5 years). Verbal informed consent was obtained from each subject and was recorded by the physician who explained the study procedures. Written informed consent was not required because of the observational nature of the study. This study protocol was approved by the Ethics Committee of the First Affiliated Hospital, College of Medicine, Zhejiang University, and was in compliance with the Helsinki Declaration.
The clinical examinations were performed as described previously [16, 17]. In brief, all subjects were required to refrain from exercise for one day prior to the examination. Systolic and diastolic blood pressures were measured by standard clinical procedures. Standing height, body weight and waist circumference were recorded for all subjects. Waist circumference was measured with the measuring tape positioned midway between the lowest rib and the superior border of the iliac crest as the patient exhaled normally. Body mass index (BMI) was calculated as weight divided by height squared and was used as the criteria for diagnosis of overweight and obesity.
Fasting blood samples were obtained for the analysis of biochemical values and HbA1c without frozen. The biochemical values included liver enzymes, lipids, uric acid and glucose. All biochemical values were measured by an Olympus AU640 autoanalyzer (Olympus, Kobe, Japan) using standard methods. Serum HbA1c levels were assessed by affinity chromatography method.
Diagnosis of NAFLD and the metabolic syndrome
The diagnosis of NAFLD was based on the criteria suggested by the Chinese Liver Disease Association . Ultrasonic examination was carried out by a trained ultrasonographist who was unaware of the results of physical examination and biochemical analyses. Diffuse fatty liver can be defined by abdominal ultrasonography with the presence of at least two of three findings below: ‘bright liver’, liver echo greater than kidney, vascular blurring and the gradual attenuation of far field ultrasound echo . The examination was performed by using a Toshiba Nemio 20 sonography machine with a 3.5-MHz probe (Toshiba, Tokyo, Japan). The diagnosis of the metabolic syndrome was based on the criteria suggested by the new International Diabetes Federation definition .
Statistical analyses were performed using SPSS 13.0 for Windows (SPSS Inc., Chicago, IL). The Kolmogorov-Smirnov test was used to assess whether continuous data were normally distributed. Continuous variables are presented as mean and standard deviation (SD) or median and interquartile range (IQR) according to the distribution of data. Student’s t-test or the Mann–Whitney U test was used for comparisons of continuous data, while chi-squared test was used for comparisons of categorical variables. Adjusted regression analysis was used to investigate the relationship between HbA1c level and prevalence of NAFLD. Furthermore, stepwise logistic regression analysis (Backward: Wald; Entry: 0.05, Removal: 0.10) was used to evaluate the risk factors for NAFLD. P <0.05 (2-tailed test) was considered statistically significant.
Characteristics of study subjects
Among the 949 enrolled subjects, 257 (161 males and 96 females) met the diagnostic criteria for NAFLD; the prevalence of NAFLD was 27.08% (26.70% and 27.75%, in males and females, respectively). A total of 212 subjects (22.34%) met the diagnostic criteria for the metabolic syndrome. The prevalence of the metabolic syndrome components, including central obesity, hypertriglyceridemia, low HDL cholesterol, elevated blood pressure and elevated FPG were 49.53%, 25.71%, 13.80%, 74.71% and 17.39%, respectively.
Characteristics of study subjects according to presence of NAFLD
NAFLD present (n = 257)
NAFLD absent (n = 692)
Gender (male/female, n)
Body mass index (kg/m2)
Waist circumference (cm)
Systolic blood pressure (mmHg)
Diastolic blood pressure (mmHg)
27.0 (20.0 – 41.0)
20.0 (15.0 – 28.0)
1.60 (1.25 – 2.06)
1.13 (0.85 – 1.52)
Total cholesterol (mmol/L)
HDL cholesterol (mmol/L)
LDL cholesterol (mmol/L)
Fasting plasma glucose (mmol/L)
5.19 (4.75 – 5.66)
4.92 (4.63 – 5.31)
Serum uric acid (μmol/L)
Serum HbA1c (%)
5.80 (5.50 – 6.10)
5.60 (5.40 – 5.90)
Association of HbA1c level with prevalence of NAFLD
Among the 949 enrolled subjects, 68 (7.17%) had increased serum HbA1c level (HbA1c ≥6.5%), while the remaining 881 (92.83%) had normal range of serum HbA1c level (HbA1c <6.5%). The prevalence of NAFLD was much higher in the subjects with increased serum HbA1c level than in those with normal range of serum HbA1c level (51.71% vs. 25.20%; χ 2 test, P <0.001).
Independent association between HbA1c level and NAFLD
Obesity and the metabolic syndrome are two major factors that closely associated with NAFLD, and these two factors may act as cofactors for the link between serum HbA1c level and NAFLD. To explore whether the association between serum HbA1c level and NAFLD was independent of obesity and the metabolic syndrome, 470 subjects with obesity and/or the metabolic syndrome were excluded for further analysis. Among the remaining 479 lean subjects, 59 fulfilled the diagnostic criteria for NAFLD, 21 had increased serum HbA1c level. The prevalence of NAFLD was also significantly higher in the subjects with increased serum HbA1c level than in those with normal range of serum HbA1c level (28.57% vs. 11.57%; χ 2 test, P =0.033).
To investigate whether normal range of serum HbA1c was also associated with prevalence of NAFLD in lean elderly subjects, 458 lean subjects with normal range of serum HbA1c were further divided in to quartiles as described above. As showed in Figure 1, the prevalence of NAFLD was also positively correlated with serum HbA1c level. These results not only suggested that the link between serum HbA1c level and NAFLD observed from the general elderly population also holds true for lean elderly subjects, but also indicated that the link might probably not influenced by other metabolic disorders.
Serum HbA1c level and risk factor of NAFLD
Risk factors associated with the presence of NAFLD
OR (95% CI)
0.945 (0.908 – 0.985)
0.459 (0.286 – 0.737)
Body mass index (kg/m2)
1.422 (1.293 – 1.563)
Waist circumference (cm)
1.036 (1.002 – 1.071)
1.011 (1.003 – 1.019)
1.686 (1.329 – 2.139)
HDL cholesterol (mmol/L)
0.204 (0.097 – 0.429)
Fasting plasma glucose (mmol/L)
1.299 (0.985 – 1.713)
Serum uric acid (mmol/L)
1.004 (1.001 – 1.006)
Serum HbA1c (%)
1.547 (1.054 – 2.270)
Discussion and conclusion
Our results showed that serum HbA1c was independently associated with NAFLD in an elderly Chinese population. First, serum HbA1c level was significantly increased in NAFLD patients, and the level was positively correlated with prevalence of NAFLD. Second, subgroup analysis indicated that the correlation between serum HbA1c level and NAFLD was independent of obesity and the metabolic syndrome. Third, the result of logistic analysis showed that increased serum HbA1c level was significantly associated with risk factor for NAFLD.
This relationship can be explained by the following two reasons. One of the possible explanations for the increased HbA1c in NAFLD patients is insulin resistance. Insulin resistance is a central component of NAFLD . Hepatic steatosis played an important role in the pathogenesis of insulin resistance. Recent studies indicated that impaired hepatic lipid and lipoprotein settling and increased oxidative stress in liver cells may increase liver fat accumulation and result in insulin resistance [21, 22], thus increase the hepatic glucose production and export to the peripheral circulation, as a result, raise the level of serum glucose . The level of HbA1c is influenced by lifespan and “glucose permeability” of the erythrocytes . As indicated by a recent study, transmembrane glucose gradient rather than the rate of glucose transport correlates with the HbA1c . Based on this point, elevated HbA1c in NAFLD in this study can be stated as the increase of intracellular glucose in NAFLD patients.
The other possible mechanism by which HbA1c linked with NAFLD is through oxidative stress. Oxidative stress is a key pathophysiological process responsible for NAFLD . In response to oxidative stress, erythrocytes may undergo morphology change and decreased membrane fluidity, becoming easy to be captured by liver macrophages . An enhanced erythrocytes susceptibility to haemolysis was reported in an experimental model of NAFLD and in obese subjects . Immoderate haemolysis will in return enhance oxidative stress . As red blood cell fragility, which influences lifespan of the erythrocytes, was positively correlated with glycosylated hemoglobin [24, 30], oxidative stress should be a likely explanation.
The link between HbA1c and NAFLD may provide a potential explanation for why NAFLD can be a risk for cardiovascular diseases. Independent association between NAFLD and cardiovascular disease was emphasized in several epidemiological studies [31, 32]. However, the physiological mechanism for the link between NAFLD and cardiovascular disease remains unclear. Since HbA1c is indicated to be a marker of cardiovascular risk [33, 34], the elevated HbA1c reported in elderly NAFLD patients in the present study may partially interpret why NAFLD increases the risk for cardiovascular disease. According to this view, strategies that aim at decreasing serum HbA1c level in order to reduce risk of cardiovascular disease in NAFLD patients may be taken into account.
Our study has several limitations. First, the diagnosis of NAFLD was based on ultrasonographic examination. Although ultrasonography is non-invasive, reasonably accurate and widely used in epidemiological studies of NAFLD, it is not sensitive enough to detect mild steatosis. In addition, HbA1c cutoff points for the identification of the severity of NAFLD can not be identified in this study. Moreover, the question about whether or not elevated HbA1c is a bystander, a cause or a consequence of NAFLD is unresolved in our study. Further researches are needed to reveal the detailed relationship and the possible mechanisms between serum HbA1c and NAFLD.
In conclusion, our results showed that serum HbA1c level was significantly correlated with NAFLD in elderly Chinese. Further clarify the precise relationship may have significant clinical implications for the diagnosis and prevention of NAFLD by monitoring HbA1c level.
This study was supported by National Key Basic Research Development Program (No. 2012CB524905), National Science and Technology Support Plan Project (No. 2012BAI06B04), National Natural Science Foundation of China (Nos. 31070315, 81100278, and 81170378), Zhejiang Provincial Natural Science Foundation of China (No.Y2110026), and Science Foundation of Health Bureau of Zhejiang Province (No.2012RCA026). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors thank Drs. Tong Huang and Jingyi Yuan at Zhenhai Lianhua Hospital, Ningbo, China for their help in data collection.
- Fan JG, Farrell GC: Epidemiology of non-alcoholic fatty liver disease in China. J Hepatol. 2009, 50 (1): 204-210. 10.1016/j.jhep.2008.10.010.View ArticlePubMedGoogle Scholar
- Williams CD, Stengel J, Asike MI, Torres DM, Shaw J, Contreras M, Landt CL, Harrison SA: Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis among a largely middle-aged population utilizing ultrasound and liver biopsy: a prospective study. Gastroenterology. 2011, 140 (1): 124-131. 10.1053/j.gastro.2010.09.038.View ArticlePubMedGoogle Scholar
- Farrell GC, Larter CZ: Nonalcoholic fatty liver disease: from steatosis to cirrhosis. Hepatology. 2006, 43 (S1): S99-S112. 10.1002/hep.20973.View ArticlePubMedGoogle Scholar
- Adams LA, Lymp JF, St Sauver J, Sanderson SO, Lindor KD, Feldstein A, Angulo P: The natural history of nonalcoholic fatty liver disease: a population-based cohort study. Gastroenterology. 2005, 129 (1): 113-121. 10.1053/j.gastro.2005.04.014.View ArticlePubMedGoogle Scholar
- Hamaguchi M, Kojima T, Takeda N, Nakagawa T, Taniguchi H, Fujii K, Omatsu T, Nakajima T, Sarui H, Shimazaki M, et al: The metabolic syndrome as a predictor of nonalcoholic fatty liver disease. Ann Intern Med. 2005, 143 (10): 722-728.View ArticlePubMedGoogle Scholar
- Ryan MC, Wilson AM, Slavin J, Best JD, Jenkins AJ, Desmond PV: Associations between liver histology and severity of the metabolic syndrome in subjects with nonalcoholic fatty liver disease. Diabetes Care. 2005, 28 (5): 1222-1224. 10.2337/diacare.28.5.1222.View ArticlePubMedGoogle Scholar
- Marceau P, Biron S, Hould FS, Marceau S, Simard S, Thung SN, Kral JG: Liver pathology and the metabolic syndrome X in severe obesity. J Clin Endocrinol Metab. 1999, 84 (5): 1513-1517. 10.1210/jc.84.5.1513.View ArticlePubMedGoogle Scholar
- Jimba S, Nakagami T, Takahashi M, Wakamatsu T, Hirota Y, Iwamoto Y, Wasada T: Prevalence of non-alcoholic fatty liver disease and its association with impaired glucose metabolism in Japanese adults. Diabet Med. 2005, 22 (9): 1141-1145. 10.1111/j.1464-5491.2005.01582.x.View ArticlePubMedGoogle Scholar
- American Diabetes Association: Diagnosis and classification of diabetes mellitus. Diabetes Care. 2011, 34 (Suppl 1): 62-69.View ArticleGoogle Scholar
- Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, Grundy SM, Hobbs HH: Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology. 2004, 40 (6): 1387-1395. 10.1002/hep.20466.View ArticlePubMedGoogle Scholar
- Zelber-Sagi S, Nitzan-Kaluski D, Halpern Z, Oren R: Prevalence of primary non-alcoholic fatty liver disease in a population-based study and its association with biochemical and anthropometric measures. Liver Int. 2006, 26 (7): 856-863. 10.1111/j.1478-3231.2006.01311.x.View ArticlePubMedGoogle Scholar
- Koehler EM, Schouten JN, Hansen BE, van Rooij FJ, Hofman A, Stricker BH, Janssen HL: Prevalence and risk factors of non-alcoholic fatty liver disease in the elderly: results from the Rotterdam study. J Hepatol. 2012, -10.1016/j.jhep.2012.07.028.Google Scholar
- Angulo P, Keach JC, Batts KP, Lindor KD: Independent predictors of liver fibrosis in patients with nonalcoholic steatohepatitis. Hepatology. 1999, 30 (6): 1356-1362. 10.1002/hep.510300604.View ArticlePubMedGoogle Scholar
- Bae JC, Cho YK, Lee WY, Seo HI, Rhee EJ, Park SE, Park CY, Oh KW, Sung KC, Kim BI: Impact of nonalcoholic fatty liver disease on insulin resistance in relation to HbA1c levels in nondiabetic subjects. Am J Gastroenterol. 2010, 105 (11): 2389-2395. 10.1038/ajg.2010.275.View ArticlePubMedGoogle Scholar
- Davidson MB, Schriger DL: Effect of age and race/ethnicity on HbA1c levels in people without known diabetes mellitus: implications for the diagnosis of diabetes. Diabetes Res Clin Pract. 2010, 87 (3): 415-421. 10.1016/j.diabres.2009.12.013.View ArticlePubMedGoogle Scholar
- Li Y, Xu C, Yu C, Xu L, Miao M: Association of serum uric acid level with non-alcoholic fatty liver disease: a cross-sectional study. J Hepatol. 2009, 50 (5): 1029-1034. 10.1016/j.jhep.2008.11.021.View ArticlePubMedGoogle Scholar
- Xu C, Xu L, Yu C, Miao M, Li Y: Association between thyroid function and nonalcoholic fatty liver disease in euthyroid elderly Chinese. Clin Endocrinol (Oxf). 2011, 75 (2): 240-246. 10.1111/j.1365-2265.2011.04016.x.View ArticleGoogle Scholar
- Fan JG, Jia JD, Li YM, Wang BY, Lu LG, Shi JP, Chan LY: Guidelines for the diagnosis and management of nonalcoholic fatty liver disease: update 2010: (published in Chinese on Chinese Journal of Hepatology 2010; 18:163–166). J Dig Dis. 2011, 12 (1): 38-44. 10.1111/j.1751-2980.2010.00476.x.View ArticlePubMedGoogle Scholar
- Alberti KG, Zimmet P, Shaw J: Metabolic syndrome–a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006, 23 (5): 469-480. 10.1111/j.1464-5491.2006.01858.x.View ArticlePubMedGoogle Scholar
- Yki-Järvinen H: Liver fat in the pathogenesis of insulin resistance and type 2 diabetes. Dig Dis. 2010, 28 (1): 203-209. 10.1159/000282087.View ArticlePubMedGoogle Scholar
- D'Adamo E, Giannini C, Chiavaroli V, de Giorgis T, Verrotti A, Chiarelli F, Mohn A: What is the significance of soluble and endogenous secretory receptor for advanced glycation end products in liver steatosis in obese prepubertal children?. Antioxid Redox Signal. 2011, 14 (6): 1167-1172. 10.1089/ars.2010.3719.View ArticlePubMedGoogle Scholar
- Bian H, Yan H, Zeng M, Rao S, Yao X, Zhou J, Jia W, Gao X: Increased liver fat content and unfavorable glucose profiles in subjects without diabetes. Diabetes Technol Ther. 2011, 13 (2): 149-155. 10.1089/dia.2010.0101.View ArticlePubMedGoogle Scholar
- Yki-Jarvinen H, Westerbacka J: The fatty liver and insulin resistance. Curr Mol Med. 2005, 5 (3): 287-295. 10.2174/1566524053766031.View ArticlePubMedGoogle Scholar
- Higgins PJ, Garlick RL, Bunn HF: Glycosylated hemoglobin in human and animal red cells: role of glucose permeability. Diabetes. 1982, 31 (9): 743-748. 10.2337/diabetes.31.9.743.View ArticlePubMedGoogle Scholar
- Khera PK, Joiner CH, Carruthers A, Lindsell CJ, Smith EP, Franco RS, Holmes YR, Cohen RM: Evidence for interindividual heterogeneity in the glucose gradient across the human red blood cell membrane and its relationship to hemoglobin glycation. Diabetes. 2008, 57 (9): 2445-2452. 10.2337/db07-1820.View ArticlePubMedPubMed CentralGoogle Scholar
- Mantena SK, King AL, Andringa KK, Eccleston HB, Bailey SM: Mitochondrial dysfunction and oxidative stress in the pathogenesis of alcohol- and obesity-induced fatty liver diseases. Free Radic Biol Med. 2008, 44 (7): 1259-1272. 10.1016/j.freeradbiomed.2007.12.029.View ArticlePubMedPubMed CentralGoogle Scholar
- Otogawa K, Kinoshita K, Fujii H, Sakabe M, Shiga R, Nakatani K, Ikeda K, Nakajima Y, Ikura Y, Ueda M, et al: Erythrophagocytosis by liver macrophages (Kupffer cells) promotes oxidative stress, inflammation, and fibrosis in a rabbit model of steatohepatitis: implications for the pathogenesis of human nonalcoholic steatohepatitis. Am J Pathol. 2007, 170 (3): 967-980. 10.2353/ajpath.2007.060441.View ArticlePubMedPubMed CentralGoogle Scholar
- Cazzola R, Rondanelli M, Russo-Volpe S, Ferrari E, Cestaro B: Decreased membrane fluidity and altered susceptibility to peroxidation and lipid composition in overweight and obese female erythrocytes. J Lipid Res. 2004, 45 (10): 1846-1851. 10.1194/jlr.M300509-JLR200.View ArticlePubMedGoogle Scholar
- Reeder BJ: The redox activity of hemoglobins: from physiologic functions to pathologic mechanisms. Antioxid Redox Signal. 2010, 13 (7): 1087-1123. 10.1089/ars.2009.2974.View ArticlePubMedGoogle Scholar
- Kung CM, Tseng ZL, Wang HL: Erythrocyte fragility increases with level of glycosylated hemoglobin in type 2 diabetic patients. Clin Hemorheol Microcirc. 2009, 43 (4): 345-351.PubMedGoogle Scholar
- Targher G, Arcaro G: Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis. 2007, 191 (2): 235-10.1016/j.atherosclerosis.2006.08.021.View ArticlePubMedGoogle Scholar
- Targher G, Marra F, Marchesini G: Increased risk of cardiovascular disease in non-alcoholic fatty liver disease: causal effect or epiphenomenon?. Diabetologia. 2008, 51 (11): 1947-1953. 10.1007/s00125-008-1135-4.View ArticlePubMedGoogle Scholar
- Adams RJ, Appleton SL, Hill CL, Wilson DH, Taylor AW, Chittleborough CR, Gill TK, Ruffin RE: Independent association of HbA(1c) and incident cardiovascular disease in people without diabetes. Obesity (Silver Spring). 2009, 17 (3): 559-563. 10.1038/oby.2008.592.View ArticleGoogle Scholar
- Selvin E, Steffes MW, Zhu H, Matsushita K, Wagenknecht L, Pankow J, Coresh J, Brancati FL: Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med. 2010, 362 (9): 800-811. 10.1056/NEJMoa0908359.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-230X/13/3/prepub
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