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Diabetes, Obesity and Metabolism
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
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
Endocrinol Metab. 2022;37(6):945-946.   Published online December 2, 2022
DOI: https://doi.org/10.3803/EnM.2022.602
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Original Articles
Diabetes, Obesity and Metabolism
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
Endocrinol Metab. 2022;37(4):641-651.   Published online August 29, 2022
DOI: https://doi.org/10.3803/EnM.2022.1501
  • 6,168 View
  • 166 Download
  • 10 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
The prevalence of young-onset diabetes (YOD) has been increasing worldwide. As the incidence of YOD increases, it is necessary to determine the characteristics of YOD and the factors that influence its development and associated complications.
Methods
In this retrospective study, we recruited patients who were diagnosed with type 2 diabetes mellitus between June 2001 and December 2021 at a tertiary hospital. The study population was categorized according to age: YOD (age <40 years), middle-age-onset diabetes (MOD, 40≤ age <65 years), and late-onset diabetes (LOD, age ≥65 years). We examined trends in glycemic control by analyzing fasting glucose levels during the first year in each age group. A Cox proportional-hazards model was used to determine the relative risk of developing complications according to glycemic control trends.
Results
The fasting glucose level at the time of diagnosis was highest in the YOD group (YOD 149±65 mg/dL; MOD 143±54 mg/dL; and LOD 140±55 mg/dL; p=0.009). In the YOD group, glucose levels decreased at 3 months, but increased by 12 months. YOD patients and those with poor glycemic control in the first year were at a higher risk of developing complications, whereas the risk in patients with LOD was not statistically significant.
Conclusion
YOD patients had higher glucose levels at diagnosis, and their glycemic control was poorly maintained. As poor glycemic control can influence the development of complications, especially in young patients, intensive treatment is necessary for patients with YOD.

Citations

Citations to this article as recorded by  
  • Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Diabetes & Metabolism.2024; 50(1): 101505.     CrossRef
  • Association between age at diagnosis of type 2 diabetes and cardiovascular morbidity and mortality risks: A nationwide population-based study
    Da Hea Seo, Mina Kim, Young Ju Suh, Yongin Cho, Seong Hee Ahn, Seongbin Hong, So Hun Kim
    Diabetes Research and Clinical Practice.2024; 208: 111098.     CrossRef
  • Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
    Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Early onset type 2 diabetes mellitus: an update
    Myrsini Strati, Melpomeni Moustaki, Theodora Psaltopoulou, Andromachi Vryonidou, Stavroula A. Paschou
    Endocrine.2024;[Epub]     CrossRef
  • Complications and Treatment of Early-Onset Type 2 Diabetes
    Fahimeh Soheilipour, Naghmeh Abbasi Kasbi, Mahshid Imankhan, Delaram Eskandari
    International Journal of Endocrinology and Metabolism.2023;[Epub]     CrossRef
  • Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
    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(6): 945.     CrossRef
  • ISPAD Clinical Practice Consensus Guidelines 2022: Management of the child, adolescent, and young adult with diabetes in limited resource settings
    Anju Virmani, Stuart J. Brink, Angela Middlehurst, Fauzia Mohsin, Franco Giraudo, Archana Sarda, Sana Ajmal, Julia E. von Oettingen, Kuben Pillay, Supawadee Likitmaskul, Luis Eduardo Calliari, Maria E. Craig
    Pediatric Diabetes.2022; 23(8): 1529.     CrossRef
  • Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
    May Thu Hla Aye, Sajid Adhi Raja, Vui Heng Chong
    Endocrinology and Metabolism.2022; 37(6): 943.     CrossRef
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Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Cumulative Exposure to High γ-Glutamyl Transferase Level and Risk of Diabetes: A Nationwide Population-Based Study
Ji-Yeon Park, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
Endocrinol Metab. 2022;37(2):272-280.   Published online April 13, 2022
DOI: https://doi.org/10.3803/EnM.2022.1416
  • 3,082 View
  • 101 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Elevated γ-glutamyl transferase (γ-GTP) level is associated with metabolic syndrome, impaired glucose tolerance, and insulin resistance, which are risk factors for type 2 diabetes. We aimed to investigate the association of cumulative exposure to high γ-GTP level with risk of diabetes.
Methods
Using nationally representative data from the Korean National Health Insurance system, 346,206 people who were free of diabetes and who underwent 5 consecutive health examinations from 2005 to 2009 were followed to the end of 2018. High γ-GTP level was defined as those in the highest quartile, and the number of exposures to high γ-GTP level ranged from 0 to 5. Hazard ratio (HR) and 95% confidence interval (CI) for diabetes were analyzed using the multivariable Cox proportional-hazards model.
Results
The mean follow-up duration was 9.2±1.0 years, during which 15,183 (4.4%) patients developed diabetes. There was a linear increase in the incidence rate and the risk of diabetes with cumulative exposure to high γ-GTP level. After adjusting for possible confounders, the HR of diabetes in subjects with five consecutive high γ-GTP levels were 2.60 (95% CI, 2.47 to 2.73) in men and 3.05 (95% CI, 2.73 to 3.41) in women compared with those who never had a high γ-GTP level. Similar results were observed in various subgroup and sensitivity analyses.
Conclusion
There was a linear relationship between cumulative exposure to high γ-GTP level and risk of diabetes. Monitoring and lowering γ-GTP level should be considered for prevention of diabetes in the general population.

Citations

Citations to this article as recorded by  
  • Validation of Estimated Small Dense Low-Density Lipoprotein Cholesterol Concentration in a Japanese General Population
    Keisuke Endo, Ryo Kobayashi, Makito Tanaka, Marenao Tanaka, Yukinori Akiyama, Tatsuya Sato, Itaru Hosaka, Kei Nakata, Masayuki Koyama, Hirofumi Ohnishi, Satoshi Takahashi, Masato Furuhashi
    Journal of Atherosclerosis and Thrombosis.2023;[Epub]     CrossRef
  • Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study
    Han-Sang Baek, Bongseong Kim, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Sang-Ah Chang, Kyungdo Han, Jae-Seung Yun
    Endocrinology and Metabolism.2023; 38(6): 770.     CrossRef
  • Elevated gamma‐glutamyl transferase to high‐density lipoprotein cholesterol ratio has a non‐linear association with incident diabetes mellitus: A second analysis of a cohort study
    Haofei Hu, Yong Han, Mijie Guan, Ling Wei, Qijun Wan, Yanhua Hu
    Journal of Diabetes Investigation.2022; 13(12): 2027.     CrossRef
  • Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of type 2 diabetes mellitus incidence
    Wangcheng Xie, Bin Liu, Yansong Tang, Tingsong Yang, Zhenshun Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
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Thyroid
Usefulness of Real-Time Quantitative Microvascular Ultrasonography for Differentiation of Graves’ Disease from Destructive Thyroiditis in Thyrotoxic Patients
Han-Sang Baek, Ji-Yeon Park, Chai-Ho Jeong, Jeonghoon Ha, Moo Il Kang, Dong-Jun Lim
Endocrinol Metab. 2022;37(2):323-332.   Published online April 13, 2022
DOI: https://doi.org/10.3803/EnM.2022.1413
  • 3,679 View
  • 144 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Microvascular ultrasonography (MVUS) is a third-generation Doppler technique that was developed to increase sensitivity compared to conventional Doppler. The purpose of this study was to compare MVUS with conventional color Doppler (CD) and power Doppler (PD) imaging to distinguish Graves’ disease (GD) from destructive thyroiditis (DT).
Methods
This prospective study included 101 subjects (46 GDs, 47 DTs, and eight normal controls) from October 2020 to November 2021. All ultrasonography examinations were performed using microvascular flow technology (MV-Flow). The CD, PD, and MVUS images were semi-quantitatively graded according to blood flow patterns. On the MVUS images, vascularity indices (VIs), which were the ratio (%) of color pixels in the total grayscale pixels in a defined region of interest, were obtained automatically. Receiver operating characteristic curve analysis was performed to verify the diagnostic performance of MVUS. The interclass correlation coefficient and Cohen’s kappa analysis were used to analyze the reliability of MVUS (ClinicalTrials.gov:NCT04879173).
Results
The area under the curve (AUC) for CD, PD, MVUS, and MVUS-VI was 0.822, 0.844, 0.808, and 0.852 respectively. The optimal cutoff value of the MVUS-VI was 24.95% for distinguishing GD and DT with 87% sensitivity and 80.9% specificity. We found a significant positive correlation of MVUS-VI with thyrotropin receptor antibody (r=0.554) and with thyroid stimulating immunoglobulin bioassay (r=0.841). MVUS showed high intra- and inter-observer reliability from various statistical method.
Conclusion
In a real time and quantitative manner, MVUS-VI could be helpful to differentiate GD from thyroiditis in thyrotoxic patients, with less inter-observer variability.

Citations

Citations to this article as recorded by  
  • Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management
    Jin Wang, Ke Wan, Xin Chang, Rui-Feng Mao
    World Journal of Diabetes.2024; 15(3): 348.     CrossRef
  • The Early Changes in Thyroid-Stimulating Immunoglobulin Bioassay over Anti-Thyroid Drug Treatment Could Predict Prognosis of Graves’ Disease
    Jin Yu, Han-Sang Baek, Chaiho Jeong, Kwanhoon Jo, Jeongmin Lee, Jeonghoon Ha, Min Hee Kim, Jungmin Lee, Dong-Jun Lim
    Endocrinology and Metabolism.2023; 38(3): 338.     CrossRef
  • Duplex Hemodynamic Parameters of Both Superior and Inferior Thyroid Arteries in Evaluation of Thyroid Hyperfunction Disorders
    Maha Assem Hussein, Alaa Abdel Hamid, Rasha M Abdel Samie, Elshaymaa Hussein, Shereen Sadik Elsawy
    International Journal of General Medicine.2022; Volume 15: 7131.     CrossRef
  • Case 5: A 41-Year-Old Woman With Palpitation
    Jiwon Yang, Kabsoo Shin, Jeongmin Lee, Jeonghoon Ha, Dong-Jun Lim, Han-Sang Baek
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Microvascular assessment of fascio-cutaneous flaps by ultrasound: A large animal study
    Guillaume Goudot, Yanis Berkane, Eloi de Clermont-Tonnerre, Claire Guinier, Irina Filz von Reiterdank, Antonia van Kampen, Korkut Uygun, Curtis L. Cetrulo, Basak E. Uygun, Anahita Dua, Alexandre G. Lellouch
    Frontiers in Physiology.2022;[Epub]     CrossRef
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Endocrinol Metab : Endocrinology and Metabolism