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3 "Doo-Man Kim"
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Original Articles
Drug/Regimen
Efficacy and Safety of Metformin and Atorvastatin Combination Therapy vs. Monotherapy with Either Drug in Type 2 Diabetes Mellitus and Dyslipidemia Patients (ATOMIC): Double-Blinded Randomized Controlled Trial
Jie-Eun Lee, Seung Hee Yu, Sung Rae Kim, Kyu Jeung Ahn, Kee-Ho Song, In-Kyu Lee, Ho-Sang Shon, In Joo Kim, Soo Lim, Doo-Man Kim, Choon Hee Chung, Won-Young Lee, Soon Hee Lee, Dong Joon Kim, Sung-Rae Cho, Chang Hee Jung, Hyun Jeong Jeon, Seung-Hwan Lee, Keun-Young Park, Sang Youl Rhee, Sin Gon Kim, Seok O Park, Dae Jung Kim, Byung Joon Kim, Sang Ah Lee, Yong-Hyun Kim, Kyung-Soo Kim, Ji A Seo, Il Seong Nam-Goong, Chang Won Lee, Duk Kyu Kim, Sang Wook Kim, Chung Gu Cho, Jung Han Kim, Yeo-Joo Kim, Jae-Myung Yoo, Kyung Wan Min, Moon-Kyu Lee
Received March 8, 2023  Accepted June 28, 2023  Published online May 20, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0077    [Epub ahead of print]
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  • 31 Download
AbstractAbstract PDF
Background
It is well known that a large number of patients with diabetes also have dyslipidemia, which significantly increases the risk of cardiovascular disease (CVD). This study aimed to evaluate the efficacy and safety of combination drugs consisting of metformin and atorvastatin, widely used as therapeutic agents for diabetes and dyslipidemia.
Methods
This randomized, double-blind, placebo-controlled, parallel-group and phase III multicenter study included adults with glycosylated hemoglobin (HbA1c) levels >7.0% and <10.0%, low-density lipoprotein cholesterol (LDL-C) >100 and <250 mg/dL. One hundred eighty-five eligible subjects were randomized to the combination group (metformin+atorvastatin), metformin group (metformin+atorvastatin placebo), and atorvastatin group (atorvastatin+metformin placebo). The primary efficacy endpoints were the percent changes in HbA1c and LDL-C levels from baseline at the end of the treatment.
Results
After 16 weeks of treatment compared to baseline, HbA1c showed a significant difference of 0.94% compared to the atorvastatin group in the combination group (0.35% vs. −0.58%, respectively; P<0.0001), whereas the proportion of patients with increased HbA1c was also 62% and 15%, respectively, showing a significant difference (P<0.001). The combination group also showed a significant decrease in LDL-C levels compared to the metformin group (−55.20% vs. −7.69%, P<0.001) without previously unknown adverse drug events.
Conclusion
The addition of atorvastatin to metformin improved HbA1c and LDL-C levels to a significant extent compared to metformin or atorvastatin alone in diabetes and dyslipidemia patients. This study also suggested metformin’s preventive effect on the glucose-elevating potential of atorvastatin in patients with type 2 diabetes mellitus and dyslipidemia, insufficiently controlled with exercise and diet. Metformin and atorvastatin combination might be an effective treatment in reducing the CVD risk in patients with both diabetes and dyslipidemia because of its lowering effect on LDL-C and glucose.
Lifesytle
Changes in the Quality of Life in Patients with Type 2 Diabetes Mellitus According to Physician and Patient Behaviors
Young-Joo Kim, In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong-Hwa Kim, Chul-Sik Kim, Won-Young Lee, Kyu-Chang Won, Jin-Hye Cha, Juneyoung Lee, Doo-Man Kim
Diabetes Metab J. 2020;44(1):91-102.   Published online October 23, 2019
DOI: https://doi.org/10.4093/dmj.2018.0251
  • 5,997 View
  • 95 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Diabetes mellitus (DM) is the most common chronic metabolic disorder with an increasing prevalence worldwide. According to a previous study, physicians' treatment patterns or patients' behaviors change when they become aware of the risk for cardiovascular (CV) disease in patients with DM. However, there exist controversial reports from previous studies in the impact of physicians' behaviors on the patients' quality of life (QoL) improvements. So we investigate the changes in QoL according to physicians and patients' behavioral changes after the awareness of CV risks in patients with type 2 DM.

Methods

Data were obtained from a prospective, observational study where 799 patients aged ≥40 years with type 2 DM were recruited at 24 tertiary hospitals in Korea. Changes in physicians' behaviors were defined as changes in the dose/type of antihypertensive, lipid-lowering, and anti-platelet therapies within 6-month after the awareness of CV risks in patients. Changes in patients' behaviors were based on lifestyle modifications. Audit of Diabetes Dependent Quality of Life comprising 19-life-domains was used.

Results

The weighted impact score change for local or long-distance journey (P=0.0049), holidays (P=0.0364), and physical health (P=0.0451) domains significantly differed between the two groups; patients whose physician's behaviors changed showed greater improvement than those whose physician's behaviors did not change.

Conclusion

This study demonstrates that changes in physicians' behaviors, as a result of perceiving CV risks, improve QoL in some domains of life in DM patients. Physicians should recognize the importance of understanding CV risks and implement appropriate management.

Citations

Citations to this article as recorded by  
  • Spline Longitudinal Multi-response Model for the Detection of Lifestyle- Based Changes in Blood Glucose of Diabetic Patients
    Anna Islamiyati
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes
    Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim
    Endocrinology and Metabolism.2022; 37(4): 641.     CrossRef
  • Agriophyllum Oligosaccharides Ameliorate Diabetic Insulin Resistance Through INS-R/IRS/Glut4-Mediated Insulin Pathway in db/db Mice and MIN6 Cells
    Shuyin Bao, Xiuzhi Wang, Sung Bo Cho, Yan-Ling Wu, Chengxi Wei, Shuying Han, Liming Bao, Qiong Wu, Wuliji Ao, Ji-Xing Nan
    Frontiers in Pharmacology.2021;[Epub]     CrossRef
  • Glycolipid metabolism and liver transcriptomic analysis of the therapeutic effects of pressed degreased walnut meal extracts on type 2 diabetes mellitus rats
    Yulan Li, Dan Chen, Chengmei Xu, Qingyujing Zhao, Yage Ma, Shenglan Zhao, Chaoyin Chen
    Food & Function.2020; 11(6): 5538.     CrossRef
  • Cause-of-death statistics in 2018 in the Republic of Korea
    Hyun-Young Shin, Jin Kim, Seokmin Lee, Min Sim Park, Sanghee Park, Sun Huh
    Journal of the Korean Medical Association.2020; 63(5): 286.     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
  • 4,316 View
  • 29 Download
  • 9 Crossref
AbstractAbstract PDFPubReader   
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

Diabetes Metab J : Diabetes & Metabolism Journal