Diabetes & Metabolism Journal

Seong Jin Lee (Lee SJ)

2 Articles

Epidemiology
Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey: Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm; Diabetes Metab J. 2016;40(2):167-170. Published online April 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.2.167

3,415 View
41 Download
1 Web of Science
2 Crossref

We aimed to estimate the threshold level of glycosylated hemoglobin (HbA1c) for the fasting plasma glucose of 100 and 126 mg/dL in the Korean adult population, using the 2011 Korea National Health and Nutrition Examination Survey. A total of 4,481 participants over 19 years of age without diabetic medications and conditions to influence the interpretation of HbA1c levels, such as anemia, renal insufficiency, liver cirrhosis, and cancers, were analyzed. A point-wise area under the receiver operating characteristic curve was used to estimate the optimal HbA1c cutoff value. A HbA1c threshold of 6.35% was optimal for predicting diabetes with a sensitivity of 86.9% and a specificity of 99.1%. Furthermore, the threshold of HbA1c was 5.65% for prediabetes, with a sensitivity of 69.3% and a specificity of 71%. Further prospective studies are needed to evaluate the HbA1c cutoff point for diagnosing prediabetes and diabetes in the Korean population.

Citations

Citations to this article as recorded by

The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef
Cutoff Point of HbA1c for Diagnosis of Diabetes Mellitus in Chinese Individuals
Bing Wang, Ming-Chuan Liu, Xin-Yu Li, Xu-Han Liu, Qiu-Xia Feng, Lu Lu, Zhu Zhu, Ying-Shu Liu, Wei Zhao, Zheng-Nan Gao, Noel Christopher Barengo
PLOS ONE.2016; 11(11): e0166597. CrossRef

Is A1C Variability an Independent Predictor for the Progression of Atherosclerosis in Type 2 Diabetic Patients?: Chul Sik Kim, So Young Park, Sung Hoon Yu, Jun Goo Kang, Ohk Hyun Ryu, Seong Jin Lee, Eun Gyung Hong, Hyeon Kyu Kim, Doo-Man Kim, Jae Myung Yoo, Sung Hee Ihm, Moon Gi Choi, Hyung Joon Yoo; Korean Diabetes J. 2010;34(3):174-181. Published online June 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.3.174

4,807 View
30 Download
9 Crossref

Abstract PDF PubReader

Background

Little is known about the relative contribution of long-term glycemic variability to the risk of macrovascular complications in type 2 diabetes. This study was conducted to evaluate the effect of A1C variability on the progression of carotid artery intima-media thickness (IMT) in type 2 diabetic patients.

Methods

Among type 2 diabetic patients who visited Hallym University Sacred Heart Hospital from March 2007 to September 2009, 120 patients who had carotid artery IMT measured annually and A1C checked every three months for at least one year were analyzed. Individual A1C variability was defined as the standard deviation (SD) of five A1C levels taken every three months for approximately one year. Change in IMT was defined as an increase in IMT on follow-up measurement. The association between the SD of A1C and changes in IMT was evaluated.

Results

With greater A1C variability, there was a greater increase in the mean IMT (r = 0.350, P < 0.001) of the carotid artery. After adjusting for confounding factors that may influence IMT, A1C variability was significantly associated with the progression of IMT (r = 0.222, P = 0.034). However, the SD of A1C was not a significant independent risk factor for the progression of IMT in multiple regression analysis (β = 0.158, P = 0.093).

Conclusion

Higher A1C variability is associated with IMT progression in type 2 diabetic patients; however, it is not an independent predictor of IMT progression. Overall glycemic control is the most important factor in the progression of IMT.

Citations

Citations to this article as recorded by

Long-Term Risk of Cardiovascular Disease Among Type 2 Diabetes Patients According to Average and Visit-to-Visit Variations of HbA1c Levels During the First 3 Years of Diabetes Diagnosis
Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef
Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial
Dan Huang, Yong-Quan Huang, Qun-Ying Zhang, Yan Cui, Tian-Yi Mu, Yin Huang
Frontiers in Cardiovascular Medicine.2021;[Epub] CrossRef
Association of Longitudinal Values of Glycated Hemoglobin With Cardiovascular Events in Patients With Type 2 Diabetes and Multivessel Coronary Artery Disease
Paulo Cury Rezende, Mark Andrew Hlatky, Whady Hueb, Rosa Maria Rahmi Garcia, Luciano da Silva Selistre, Eduardo Gomes Lima, Cibele Larrosa Garzillo, Thiago Luis Scudeler, Gustavo Andre Boeing Boros, Fernando Faglioni Ribas, Carlos Vicente Serrano, Jose An
JAMA Network Open.2020; 3(1): e1919666. CrossRef
Haemoglobin A1c variability as an independent correlate of atherosclerosis and cardiovascular disease in Chinese type 2 diabetes
Yifei Mo, Jian Zhou, Xiaojing Ma, Wei Zhu, Lei Zhang, Jie Li, Jingyi Lu, Cheng Hu, Yuqian Bao, Weiping Jia
Diabetes and Vascular Disease Research.2018; 15(5): 402. CrossRef
Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study
Mette V Skriver, Annelli Sandbæk, Jette K Kristensen, Henrik Støvring
BMJ Open Diabetes Research & Care.2015; 3(1): e000060. CrossRef
Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes
Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Kun-Ho Yoon, Byung-Hee Hwang, Kiyuk Chang, Kyungdo Han, Gunseog Kang, Jae Hyoung Cho
Journal of Diabetes and its Complications.2015; 29(6): 776. CrossRef
Glycated hemoglobin as a marker of subclinical atherosclerosis and cardiac remodeling among non-diabetic adults from the general population
Robin Haring, Sebastian E. Baumeister, Wolfgang Lieb, Bettina von Sarnowski, Henry Völzke, Stephan B. Felix, Matthias Nauck, Henri Wallaschofski
Diabetes Research and Clinical Practice.2014; 105(3): 416. CrossRef
HbA1c Variability and Micro- and Macrovascular Complications of Diabetes
Hae Kyung Yang, Seung-Hwan Lee
The Journal of Korean Diabetes.2014; 15(4): 202. CrossRef
HbA1c variability and the development of microalbuminuria in type 2 diabetes: Tsukuba Kawai Diabetes Registry 2
A. Sugawara, K. Kawai, S. Motohashi, K. Saito, S. Kodama, Y. Yachi, R. Hirasawa, H. Shimano, K. Yamazaki, H. Sone
Diabetologia.2012; 55(8): 2128. CrossRef

Author index