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Long-Term Glycaemic Durability of Early Combination Therapy Strategy versus Metformin Monotherapy in Korean Patients with Newly Diagnosed Type 2 Diabetes Mellitus
Soon-Jib Yoo, Sang-Ah Chang, Tae Seo Sohn, Hyuk-Sang Kwon, Jong Min Lee, Sungdae Moon, Pieter Proot, Päivi M Paldánius, Kun Ho Yoon
Diabetes Metab J. 2021;45(6):954-959.   Published online November 12, 2020
DOI: https://doi.org/10.4093/dmj.2020.0173
  • 55,585 View
  • 377 Download
  • 3 Web of Science
  • 2 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We assessed the glycaemic durability with early combination (EC; vildagliptin+metformin [MET], n=22) versus MET monotherapy (n=17), among newly-diagnosed type 2 diabetes mellitus (T2DM) enrolled (between 2012 and 2014) in the VERIFY study from Korea (n=39). Primary endpoint was time to initial treatment failure (TF) (glycosylated hemoglobin [HbA1c] ≥7.0% at two consecutive scheduled visits after randomization [end of period 1]). Time to second TF was assessed when both groups were receiving and failing on the combination (end of period 2). With EC the risk of initial TF significantly reduced by 78% compared to MET (n=3 [15%] vs. n=10 [58.7%], P=0.0228). No secondary TF occurred in EC group versus five patients (29.4%) in MET. Patients receiving EC treatment achieved consistently lower HbA1c levels. Both treatment approaches were well tolerated with no hypoglycaemic events. In Korean patients with newly diagnosed T2DM, EC treatment significantly and consistently improved the long-term glycaemic durability as compared with MET.

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  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
Original Articles
Drug/Regimen
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Effect of Dapagliflozin as an Add-on Therapy to Insulin on the Glycemic Variability in Subjects with Type 2 Diabetes Mellitus (DIVE): A Multicenter, Placebo-Controlled, Double-Blind, Randomized Study
Seung-Hwan Lee, Kyung-Wan Min, Byung-Wan Lee, In-Kyung Jeong, Soon-Jib Yoo, Hyuk-Sang Kwon, Yoon-Hee Choi, Kun-Ho Yoon
Diabetes Metab J. 2021;45(3):339-348.   Published online May 28, 2020
DOI: https://doi.org/10.4093/dmj.2019.0203
  • 8,760 View
  • 337 Download
  • 12 Web of Science
  • 15 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Glycemic variability is associated with the development of diabetic complications and hypoglycemia. However, the effect of sodium-glucose transporter 2 (SGLT2) inhibitors on glycemic variability is controversial. We aimed to examine the effect of dapagliflozin as an add-on therapy to insulin on the glycemic variability assessed using continuous glucose monitoring (CGM) in subjects with type 2 diabetes mellitus.

Methods

In this multicenter, placebo-controlled, double-blind, randomized study, 84 subjects received 10 mg of dapagliflozin (n=41) or the placebo (n=43) for 12 weeks. CGM was performed before and after treatment to compare the changes in glycemic variability measures (standard deviation [SD], mean amplitude of glycemic excursions [MAGEs]).

Results

At week 12, significant reductions in glycosylated hemoglobin (−0.74%±0.66% vs. 0.01%±0.65%, P<0.001), glycated albumin (−3.94%±2.55% vs. −0.67%±2.48%, P<0.001), and CGM-derived mean glucose (−41.6±39.2 mg/dL vs. 1.1±46.2 mg/dL, P<0.001) levels were observed in the dapagliflozin group compared with the placebo group. SD and MAGE were significantly decreased in the dapagliflozin group, but not in the placebo group. However, the difference in ΔSD and ΔMAGE failed to reach statistical significance between two groups. No significant differences in the incidence of safety endpoints were observed between the two groups.

Conclusion

Dapagliflozin effectively decreased glucose levels, but not glucose variability, after 12 weeks of treatment in participants with type 2 diabetes mellitus receiving insulin treatment. The role of SGLT2 inhibitors in glycemic variability warrants further investigations.

Citations

Citations to this article as recorded by  
  • Selective sodium-glucose cotransporter-2 inhibitors in the improvement of hemoglobin and hematocrit in patients with type 2 diabetes mellitus: a network meta-analysis
    Yuanyuan Luo, Ruojing Bai, Wei Zhang, Guijun Qin
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Continuous Glucose Monitoring Profiles and Health Outcomes After Dapagliflozin Plus Saxagliptin vs Insulin Glargine
    Donald C Simonson, Marcia A Testa, Ella Ekholm, Maxwell Su, Tina Vilsbøll, Serge A Jabbour, Marcus Lind
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Impact of empagliflozin on insulin needs in patients with heart failure and diabetes: An EMPEROR‐Pooled analysis
    Khawaja M. Talha, Jennifer Green, Gerasimos Filippatos, Stuart Pocock, Faiez Zannad, Martina Brueckmann, Elke Schueler, Anne Pernille Ofstad, João Pedro Ferreira, Stefan D. Anker, Javed Butler, Julio Rosenstock, Milton Packer
    Diabetes, Obesity and Metabolism.2024; 26(7): 2578.     CrossRef
  • Risk of Urinary Tract Infection in Patients with Type 2 Diabetes Mellitus Treated with Dapagliflozin: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Zhigui Zheng, Dongyuan He, Jianguo Chen, Xiaohui Xie, Yunan Lu, Binbin Wu, Xinxin Jiang
    Clinical Drug Investigation.2023; 43(4): 209.     CrossRef
  • Effect of SGLT2 Inhibitors and Metformin on Inflammatory and Prognostic Biomarkers in Type 2 Diabetes Patients
    Yang Cao, Ning Liang, Ting Liu, Jingai Fang, Xiaodong Zhang
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2023; 23(4): 530.     CrossRef
  • What is Glycaemic Variability and which Pharmacological Treatment Options are Effective? A Narrative Review
    Juan Miguel Huertas Cañas, Maria Alejandra Gomez Gutierrez, Andres Bedoya Ossa
    European Endocrinology.2023; 19(2): 4.     CrossRef
  • La variabilité glycémique : un facteur de risque singulier à conjuguer au pluriel
    Louis Monnier, Claude Colette, Fabrice Bonnet, David Owens
    Médecine des Maladies Métaboliques.2022; 16(1): 15.     CrossRef
  • Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
    Min Jeong Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2022; 46(1): 49.     CrossRef
  • Effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors on serum urate levels in patients with and without diabetes: a systematic review and meta-regression of 43 randomized controlled trials
    Alicia Swee Yan Yip, Shariel Leong, Yao Hao Teo, Yao Neng Teo, Nicholas L. X. Syn, Ray Meng See, Caitlin Fern Wee, Elliot Yeung Chong, Chi-Hang Lee, Mark Y. Chan, Tiong-Cheng Yeo, Raymond C. C. Wong, Ping Chai, Ching-Hui Sia
    Therapeutic Advances in Chronic Disease.2022; 13: 204062232210835.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • The Clinical Effect of Dapagliflozin in Patients with Angiographically Confirmed Coronary Artery Disease and Concomitant Type 2 Diabetes Mellitus
    Yana Yu. Dzhun, Yevhen Yu. Marushko, Yanina A. Saienko, Nadiya M. Rudenko, Borys M. Mankovsky
    Ukrainian Journal of Cardiovascular Surgery.2022; 30(3): 35.     CrossRef
  • Stress-Induced Hyperglycaemia in Non-Diabetic Patients with Acute Coronary Syndrome: From Molecular Mechanisms to New Therapeutic Perspectives
    Alessandro Bellis, Ciro Mauro, Emanuele Barbato, Antonio Ceriello, Antonio Cittadini, Carmine Morisco
    International Journal of Molecular Sciences.2021; 22(2): 775.     CrossRef
  • Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Heeyoung Lee, Se-eun Park, Eun-Young Kim
    Journal of Clinical Medicine.2021; 10(18): 4078.     CrossRef
  • Effect of Dapagliflozin on Glycemic Variability in Patients with Type 2 Diabetes under Insulin Glargine Combined with Other Oral Hypoglycemic Drugs
    Menghui Luo, Xiaocen Kong, Huiying Wang, Xiaofang Zhai, Tingting Cai, Bo Ding, Yun Hu, Ting Jing, Xiaofei Su, Huiqin Li, Jianhua Ma, Yoshifumi Saisho
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2020; 44(6): 828.     CrossRef
Obesity and Metabolic Syndrome
The Risk of Myocardial Infarction and Ischemic Stroke According to Waist Circumference in 21,749,261 Korean Adults: A Nationwide Population-Based Study
Jung-Hwan Cho, Eun-Jung Rhee, Se-Eun Park, Hyemi Kwon, Jin-Hyung Jung, Kyung-Do Han, Yong-Gyu Park, Hye Soon Park, Yang-Hyun Kim, Soon-Jib Yoo, Won-Young Lee
Diabetes Metab J. 2019;43(2):206-221.   Published online December 27, 2018
DOI: https://doi.org/10.4093/dmj.2018.0039
  • 6,125 View
  • 107 Download
  • 24 Web of Science
  • 24 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Waist circumference (WC) is a well-known obesity index that predicts cardiovascular disease (CVD). We studied the relationship between baseline WC and development of incident myocardial infarction (MI) and ischemic stroke (IS) using a nationwide population-based cohort, and evaluated if its predictability is better than body mass index (BMI).

Methods

Our study included 21,749,261 Koreans over 20 years of age who underwent the Korean National Health Screening between 2009 and 2012. The occurrence of MI or IS was investigated until the end of 2015 using National Health Insurance Service data.

Results

A total of 127,289 and 181,637 subjects were newly diagnosed with MI and IS. The incidence rate and hazard ratio of MI and IS increased linearly as the WC level increased, regardless of adjustment for BMI. When the analyses were performed according to 11 groups of WC, the lowest risk of MI was found in subjects with WC of 70 to 74.9 and 65 to 69.9 cm in male and female, and the lowest risk of IS in subjects with WC of 65 to 69.9 and 60 to 64.9 cm in male and female, respectively. WC showed a better ability to predict CVD than BMI with smaller Akaike information criterion. The optimal WC cutoffs were 84/78 cm for male/female for predicting MI, and 85/78 cm for male/female for predicting IS.

Conclusion

WC had a significant linear relationship with the risk of MI and IS and the risk began to increase from a WC that was lower than expected.

Citations

Citations to this article as recorded by  
  • Usefulness of New Criteria for Metabolic Syndrome Optimized for Prediction of Cardiovascular Diseases in Japanese
    Yurie Yamazaki, Kazuya Fujihara, Takaaki Sato, Mayuko Harada Yamada, Yuta Yaguchi, Yasuhiro Matsubayashi, Takaho Yamada, Satoru Kodama, Kiminori Kato, Hitoshi Shimano, Hirohito Sone
    Journal of Atherosclerosis and Thrombosis.2024; 31(4): 382.     CrossRef
  • Association between body composition and subsequent cardiovascular diseases among 5-year breast cancer survivors
    Ji Soo Kim, Jihun Song, Seulggie Choi, Sung Min Kim, Young Jun Park, Sun Jae Park, Yoosun Cho, Yun Hwan Oh, Seogsong Jeong, Kyae Hyung Kim, Sang Min Park
    Nutrition, Metabolism and Cardiovascular Diseases.2024;[Epub]     CrossRef
  • Association between physical activity changes and incident myocardial infarction after ischemic stroke: a nationwide population-based study
    Dae Young Cheon, Kyung do Han, Yeon Jung Lee, Jeen Hwa Lee, Myung Soo Park, Do Young Kim, Jae Hyuk Choi, Sook Jin Lee, Kyung-Ho Yu, Seongwoo Han, Sunki Lee, Minwoo Lee
    BMC Public Health.2024;[Epub]     CrossRef
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    Jung Eun Yoo, Kyungdo Han, Jin‐Hyung Jung, Yang‐Im Hur, Yang Hyun Kim, Eun Sook Kim, Jang Won Son, Eun‐Jung Rhee, Won‐Young Lee, Ga Eun Nam
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 369.     CrossRef
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    Scientific Reports.2023;[Epub]     CrossRef
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    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
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    Ji Soo Kim, Jihun Song, Seulggie Choi, Sang Min Park
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Association between Stroke and Abdominal Obesity in the Middle-Aged and Elderly Korean Population: KNHANES Data from 2011–2019
    Jong Yeon Kim, Sung Min Cho, Youngmin Yoo, Taesic Lee, Jong Koo Kim
    International Journal of Environmental Research and Public Health.2022; 19(10): 6140.     CrossRef
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    Nathalia Garrido-Torres, Miguel Ruiz-Veguilla, Luis Alameda, Manuel Canal-Rivero, María Juncal Ruiz, Marcos Gómez-Revuelta, Rosa Ayesa-Arriola, Ana Rubio-García, Benedicto Crespo-Facorro, Javier Vázquez-Bourgon
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    Chang-Hoon Lee, Kyung-Do Han, Da Hye Kim, Min-Sun Kwak
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Obesity Degree and Glycemic Status: Factors That Should Be Considered in Heart Failure
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    Cardiovascular Diabetology.2020;[Epub]     CrossRef
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    Journal of Obesity & Metabolic Syndrome.2019; 28(4): 236.     CrossRef
  • Simply the Best: Anthropometric Indices for Predicting Cardiovascular Disease
    Jie-Eun Lee
    Diabetes & Metabolism Journal.2019; 43(2): 156.     CrossRef
  • Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey
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    Eun-Jung Rhee
    Journal of Obesity & Metabolic Syndrome.2019; 28(2): 139.     CrossRef
  • Response: The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity (J Obes Metab Syndr 2019;28:46-52)
    Bo Kyung Koo
    Journal of Obesity & Metabolic Syndrome.2019; 28(4): 297.     CrossRef

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