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Ji Hee Yu 4 Articles
Thyroid
Big Data Articles (National Health Insurance Service Database)
Unveiling Risk Factors for Treatment Failure in Patients with Graves’ Disease: A Nationwide Cohort Study in Korea
Jung A Kim, Kyeong Jin Kim, Jimi Choi, Kyoung Jin Kim, Eyun Song, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim
Endocrinol Metab. 2025;40(1):125-134.   Published online January 13, 2025
DOI: https://doi.org/10.3803/EnM.2024.2093
  • 1,394 View
  • 85 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Antithyroid drug (ATD) treatment is the preferred initial treatment for Graves’ disease (GD) in South Korea, despite higher treatment failure rates than radioactive iodine (RAI) therapy or thyroidectomy. This study aimed to evaluate the incidence of treatment failure associated with the primary modalities for GD treatment in real-world practice.
Methods
We included 452,001 patients diagnosed with GD between 2004 and 2020 from the Korean National Health Insurance Service-National Health Information Database. Treatment failure was defined as switching from ATD, RAI, or thyroidectomy treatments, and for ATD specifically, inability to discontinue medication for over 2 years.
Results
Mean age was 46.2 years, with females constituting 70.8%. Initial treatments for GD included ATDs (98.0%), thyroidectomy (1.3%), and RAI (0.7%), with a noted increment in ATD application from 96.2% in 2004 to 98.8% in 2020. During a median follow- up of 8.5 years, the treatment failure rates were 58.5% for ATDs, 21.3% for RAI, and 2.1% for thyroidectomy. Multivariate analysis indicated that the hazard ratio for treatment failure with ATD was 2.81 times higher than RAI. RAI treatments ≥10 mCi had 37% lower failure rates than doses <10 mCi.
Conclusion
ATDs are the most commonly used for GD in South Korea, followed by thyroidectomy and RAI. Although the risk of treatment failure for ATD is higher than that of RAI therapy, initial RAI treatment in South Korea is relatively limited compared to that in Western countries. Further studies are required to evaluate the cause of low initial RAI treatment rates in South Korea.

Citations

Citations to this article as recorded by  
  • Treatment of Graves’ Disease: Faster Remission or Longer but Safe, That Is the Question
    Chan-Hee Jung
    Endocrinology and Metabolism.2025; 40(1): 70.     CrossRef
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Diabetes, obesity and metabolism
Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factors (ENSEMBLE)
Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong Jin, Jae Hyuk Lee, Gwanpyo Koh, Sang-Yong Kim, Jaetaek Kim, Ju Hee Lee, Tae Nyun Kim, Hyun Jeong Jeon, Ji Hyun Lee, Jae-Han Jeon, Hye Jin Yoo, Hee Kyung Kim, Hyeong-Kyu Park, Il Seong Nam-Goong, Seongbin Hong, Chul Woo Ahn, Ji Hee Yu, Jong Heon Park, Keun-Gyu Park, Chan Ho Park, Kyong Hye Joung, Ohk-Hyun Ryu, Keun Yong Park, Eun-Gyoung Hong, Bong-Soo Cha, Kyu Chang Won, Yoon-Sok Chung, Sin Gon Kim
Endocrinol Metab. 2024;39(5):722-731.   Published online August 22, 2024
DOI: https://doi.org/10.3803/EnM.2024.1995
  • 4,869 View
  • 256 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator- activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined.
Methods
This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months.
Conclusion
This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.

Citations

Citations to this article as recorded by  
  • Current and Emerging Treatment Options for Hypertriglyceridemia: State-of-the-Art Review
    Jakub Michal Zimodro, Manfredi Rizzo, Ioanna Gouni-Berthold
    Pharmaceuticals.2025; 18(2): 147.     CrossRef
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Diabetes, obesity and metabolism
Impact of Chronic Kidney Disease and Gout on End-Stage Renal Disease in Type 2 Diabetes: Population-Based Cohort Study
Inha Jung, Da Young Lee, Seung Min Chung, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim
Endocrinol Metab. 2024;39(5):748-757.   Published online August 30, 2024
DOI: https://doi.org/10.3803/EnM.2024.2020
  • 1,842 View
  • 62 Download
  • 1 Web of Science
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We examined the impact of gout on the end-stage renal disease (ESRD) risk in patients with type 2 diabetes mellitus (T2DM) and determined whether this association differs according to chronic kidney disease (CKD) status.
Methods
Using the Korean National Health Insurance Service, this nationwide cohort study enrolled 847,884 patients with T2DM who underwent health checkups in 2009. Based on the presence of CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2) and gout (two outpatient visits or one hospitalization within 5 years), patients were classified into four groups: CKDGout, CKD Gout+, CKD+Gout, and CKD+Gout+. Patients with incident ESRD were followed up until December 2018.
Results
Among 847,884 patients, 11,825 (1.4%) experienced progression to ESRD. ESRD incidence increased in the following order: 0.77 per 1,000 person-years (PY) in the CKDGout group, 1.34/1,000 PY in the CKDGout+ group, 8.20/1,000 PY in the CKD+Gout group, and 23.06/1,000 PY in the CKD+Gout+ group. The presence of gout modified the ESRD risk in a status-dependent manner. Hazard ratios (HR) were 1.49 (95% confidence interval [CI], 1.32 to 1.69) and 2.24 (95% CI, 2.09 to 2.40) in patients without and with CKD, respectively, indicating a significant interaction (P<0.0001). The CKD+Gout+ group had a markedly higher risk of developing ESRD (HR, 18.9; 95% CI, 17.58 to 20.32) than the reference group (CKDGout).
Conclusion
Gout substantially enhances the risk of ESRD, even in the absence of CKD. Concurrent CKD and gout synergistically increase the risk of ESRD. Therefore, physicians should carefully screen for hyperuricemia to prevent progression to ESRD.
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Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Seung Ku Lee, Chol Shin, Nan Hee Kim
Endocrinol Metab. 2023;38(1):146-155.   Published online February 6, 2023
DOI: https://doi.org/10.3803/EnM.2022.1582
  • 7,123 View
  • 237 Download
  • 10 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

Citations

Citations to this article as recorded by  
  • Sleep features and the risk of type 2 diabetes mellitus: a systematic review and meta-analysis
    Hongyi Liu, Hui Zhu, Qinkang Lu, Wen Ye, Tao Huang, Yuqiong Li, Bingqi Li, Yingxin Wu, Penghao Wang, Tao Chen, Jin Xu, Lindan Ji
    Annals of Medicine.2025;[Epub]     CrossRef
  • The potential impact of habitual sleep quality on glycaemic control and inflammation: A study on geriatric patients recently diagnosed with type 2 diabetes mellitus (T2DM)
    Nadia Hussain, Amal Hussain Ibrahim Al Haddad, Saima Abbass, Zina Alfahl
    Sleep Medicine: X.2025; 9: 100139.     CrossRef
  • The link between sleep duration and stroke risk
    Yu Cheng, Yuchuan Ding, Ahmed Elmadhoun, Xunming Ji, Xiaokun Geng
    Brain Circulation.2025; 11(1): 1.     CrossRef
  • Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
    Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
    Diabetes & Metabolism Journal.2024; 48(1): 37.     CrossRef
  • Role of Sleep and Sleep Disorders in Cardiometabolic Risk: a Review and Update
    Shaden O. Qasrawi, Ahmed S. BaHammam
    Current Sleep Medicine Reports.2024; 10(1): 34.     CrossRef
  • Evaluating reliability in wearable devices for sleep staging
    Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon
    npj Digital Medicine.2024;[Epub]     CrossRef
  • Replication Study of Genome Wide Association Study of Sleep Duration in Korean Association Resources Cohort
    Seok-Ho Cho, Seon-Ah Kim, Hyun-Seok Jin, Hong Sung Kim
    Biomedical Science Letters.2024; 30(2): 86.     CrossRef
  • Insights into optimal BMI from the GlasVEGAS study
    Chun-Kwan O, Juliana C. N. Chan
    Nature Metabolism.2024; 6(8): 1435.     CrossRef
  • Mechanisms, consequences and role of interventions for sleep deprivation: Focus on mild cognitive impairment and Alzheimer’s disease in elderly
    Upasana Mukherjee, Ujala Sehar, Malcolm Brownell, P. Hemachandra Reddy
    Ageing Research Reviews.2024; 100: 102457.     CrossRef
  • The Relationship Between the Risk of Type 2 Diabetes and Insomnia Severity and Sleep Duration in Academicians
    Tuğba Bilgehan, Esra Çalık Var
    Sağlık Bilimleri Üniversitesi Hemşirelik Dergisi.2024; 6(3): 203.     CrossRef
  • All That Glitters Is Not Gold: The Same Sleep Time, but Different Diabetogenic Outcomes
    Bohye Kim, Obin Kwon
    Endocrinology and Metabolism.2023; 38(1): 78.     CrossRef
  • The Link Between Sleeping and Type 2 Diabetes: A Systematic Review
    Ali Darraj
    Cureus.2023;[Epub]     CrossRef
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