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Dae Jung Kim  (Kim DJ) 34 Articles
Diabetes, Obesity and Metabolism
Impact of Post-Transplant Diabetes Mellitus on Survival and Cardiovascular Events in Kidney Transplant Recipients
Ja Young Jeon, Shin Han-Bit, Bum Hee Park, Nami Lee, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Seung Jin Han
Endocrinol Metab. 2023;38(1):139-145.   Published online February 6, 2023
DOI: https://doi.org/10.3803/EnM.2022.1594
  • 1,484 View
  • 116 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Post-transplant diabetes mellitus (PTDM) is a risk factor for poor outcomes after kidney transplantation (KT). However, the outcomes of KT have improved recently. Therefore, we investigated whether PTDM is still a risk factor for mortality, major atherosclerotic cardiovascular events (MACEs), and graft failure in KT recipients.
Methods
We studied a retrospective cohort of KT recipients (between 1994 and 2017) at a single tertiary center, and compared the rates of death, MACEs, overall graft failure, and death-censored graft failure after KT between patients with and without PTDM using Kaplan-Meier analysis and a Cox proportional hazard model.
Results
Of 571 KT recipients, 153 (26.8%) were diagnosed with PTDM. The mean follow-up duration was 9.6 years. In the Kaplan- Meier analysis, the PTDM group did not have a significantly increased risk of death or four-point MACE compared with the non-diabetes mellitus group (log-rank test, P=0.957 and P=0.079, respectively). Multivariate Cox proportional hazard models showed that PTDM did not have a negative impact on death or four-point MACE (P=0.137 and P=0.181, respectively). In addition, PTDM was not significantly associated with overall or death-censored graft failure. However, patients with a long duration of PTDM had a higher incidence of four-point MACE.
Conclusion
Patient survival and MACEs were comparable between groups with and without PTDM. However, PTDM patients with long duration diabetes were at higher risk of cardiovascular disease.
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Clinical Study
Big Data Articles (National Health Insurance Service Database)
Effect of Teneligliptin versus Sulfonylurea on Major Adverse Cardiovascular Outcomes in People with Type 2 Diabetes Mellitus: A Real-World Study in Korea
Da Hea Seo, Kyoung Hwa Ha, So Hun Kim, Dae Jung Kim
Endocrinol Metab. 2021;36(1):70-80.   Published online February 24, 2021
DOI: https://doi.org/10.3803/EnM.2020.777
  • 4,673 View
  • 184 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Results regarding the cardiovascular (CV) effects of dipeptidyl peptidase-4 (DPP-4) inhibitors are inconsistent. This study aimed to assess the effects of teneligliptin, a DPP-4 inhibitor, on the risk of major CV outcomes in type 2 diabetes mellitus (T2DM) patients compared to sulfonylurea.
Methods
From January 1, 2015 to December 31, 2017, we conducted a retrospective cohort study using the Korean National Health Insurance Service database. A total of 6,682 T2DM patients who were newly prescribed DPP-4 inhibitors or sulfonylurea were selected and matched in a 1:1 ratio by propensity score. The hazard ratios (HRs) for all-cause mortality, hospitalization for heart failure (HHF), all-cause mortality or HHF, myocardial infarction (MI), stroke, and hypoglycemia were assessed.
Results
During 641 days of follow-up, the use of teneligliptin was not associated with an increased risk of all-cause mortality (HR, 1.00; 95% confidence interval [CI], 0.85 to 1.19), HHF (HR, 0.99; 95% CI, 0.86 to 1.14), all-cause mortality or HHF (HR, 1.02; 95% CI, 0.90 to 1.14), MI (HR, 0.90; 95% CI, 0.68 to 1.20), and stroke (HR, 1.00; 95% CI, 0.86 to 1.17) compared to the use of sulfonylurea. However, it was associated with a significantly lower risk of hypoglycemia (HR, 0.68; 95% CI, 0.49 to 0.94) compared to sulfonylurea therapy.
Conclusion
Among T2DM patients, teneligliptin therapy was not associated with an increased risk of CV events including HHF, but was associated with a lower risk of hypoglycemia compared to sulfonylurea therapy.

Citations

Citations to this article as recorded by  
  • 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
  • Systematic review and meta-analysis of teneligliptin for treatment of type 2 diabetes
    R. Pelluri, S. Kongara, V. R. Nagasubramanian, S. Mahadevan, J. Chimakurthy
    Journal of Endocrinological Investigation.2023; 46(5): 855.     CrossRef
  • Finding the most cost-effective option from commonly used Dipeptidyl peptidase-4 inhibitors in India: a systematic study
    Harmanjit Singh, Ekta Arora, Seerat Narula, Mandeep Singla, Armaan Otaal, Jatin Sharma
    Expert Review of Endocrinology & Metabolism.2023; 18(4): 347.     CrossRef
  • Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes
    Yewon Na, Soo Wan Kim, Ie Byung Park, Soo Jung Choi, Seungyoon Nam, Jaehun Jung, Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(11): 3022.     CrossRef
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Clinical Study
Clinical Outcomes of COVID-19 Patients with Type 2 Diabetes: A Population-Based Study in Korea
Ji Hong You, Sang Ah Lee, Sung-Youn Chun, Sun Ok Song, Byung-Wan Lee, Dae Jung Kim, Edward J. Boyko
Endocrinol Metab. 2020;35(4):901-908.   Published online December 10, 2020
DOI: https://doi.org/10.3803/EnM.2020.787
  • 6,622 View
  • 229 Download
  • 14 Web of Science
  • 18 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The aim of this study was to evaluate clinical outcomes in coronavirus disease 2019 (COVID-19) positive patients with type 2 diabetes compared to those without diabetes in Korea.
Methods
We extracted claims data for patients diagnosed with COVID-19 from the National Health Insurance Service database in Korea from January 20, 2020 to March 31, 2020. We followed up this cohort until death from COVID-19 or discharge from hospital.
Results
A total of 5,473 patients diagnosed with COVID-19 were analyzed, including 495 with type 2 diabetes and 4,978 without diabetes. Patients with type 2 diabetes were more likely to be treated in the intensive care unit (ICU) (P<0.0001). The incidence of inhospital mortality was higher in patients with type 2 diabetes (P<0.0001). After adjustment for age, sex, insurance status, and comorbidities, odds of ICU admission (adjusted odds ratio [OR], 1.59; 95% confidence interval [CI], 1.02 to 2.49; P=0.0416) and in-hospital mortality (adjusted OR, 1.90; 95% CI, 1.13 to 3.21; P=0.0161) among patients with COVID-19 infection were significantly higher in those with type 2 diabetes. However, there was no significant difference between patients with and without type 2 diabetes in ventilator, oxygen therapy, antibiotics, antiviral drugs, antipyretics, and the incidence of pneumonia after adjustment.
Conclusion
COVID-19 positive patients with type 2 diabetes had poorer clinical outcomes with higher risk of ICU admission and in-hospital mortality than those without diabetes. Therefore, medical providers need to consider this more serious clinical course when planning and delivering care to type 2 diabetes patients with COVID-19 infection.

Citations

Citations to this article as recorded by  
  • Risk for Newly Diagnosed Type 2 Diabetes Mellitus after COVID-19 among Korean Adults: A Nationwide Matched Cohort Study
    Jong Han Choi, Kyoung Min Kim, Keeho Song, Gi Hyeon Seo
    Endocrinology and Metabolism.2023; 38(2): 245.     CrossRef
  • The Intersection of COVID-19 and Metabolic-Associated Fatty Liver Disease: An Overview of the Current Evidence
    Mykhailo Buchynskyi, Iryna Kamyshna, Valentyn Oksenych, Nataliia Zavidniuk, Aleksandr Kamyshnyi
    Viruses.2023; 15(5): 1072.     CrossRef
  • Risk phenotypes of diabetes and association with COVID-19 severity and death: an update of a living systematic review and meta-analysis
    Sabrina Schlesinger, Alexander Lang, Nikoletta Christodoulou, Philipp Linnerz, Kalliopi Pafili, Oliver Kuss, Christian Herder, Manuela Neuenschwander, Janett Barbaresko, Michael Roden
    Diabetologia.2023; 66(8): 1395.     CrossRef
  • Diabetes and deaths of COVID-19 patients: Systematic review of meta-analyses
    Aakriti Garg, Mahesh Kumar Posa, Anoop Kumar
    Health Sciences Review.2023; 7: 100099.     CrossRef
  • Cardiometabolic Risk Factors and COVID-19 Outcomes in the Asia-Pacific Region: A Systematic Review, Meta-analysis and Meta-regression of 84,011 Patients
    Ru Ying Fong, Annie Lee, Fei Gao, Jonathan Jiunn Liang Yap, Khung Keong Yeo
    Journal of Asian Pacific Society of Cardiology.2023;[Epub]     CrossRef
  • Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
    Jeonghoon Ha, Kyoung Min Kim, Dong-Jun Lim, Keeho Song, Gi Hyeon Seo
    Journal of Clinical Medicine.2023; 12(14): 4799.     CrossRef
  • Factors influencing the severity of COVID-19 course for patients with diabetes mellitus in tashkent: a retrospective cohort study
    A. V. Alieva, A. A. Djalilov, F. A. Khaydarova, A. V. Alimov, D. Z. Khalilova, V. A. Talenova, N. U. Alimova, M. D. Aripova, A. S. Sadikova
    Obesity and metabolism.2023; 20(2): 92.     CrossRef
  • Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis
    Mykhailo Buchynskyi, Valentyn Oksenych, Iryna Kamyshna, Sandor G. Vari, Aleksandr Kamyshnyi
    Viruses.2023; 15(8): 1724.     CrossRef
  • Anti-SARS-CoV-2 antibody levels predict outcome in COVID-19 patients with type 2 diabetes: a prospective cohort study
    Sylvia Mink, Christoph H. Saely, Andreas Leiherer, Matthias Frick, Thomas Plattner, Heinz Drexel, Peter Fraunberger
    Scientific Reports.2023;[Epub]     CrossRef
  • Reasons for Hospitalization Among Australians With Type 1 or Type 2 Diabetes and COVID-19
    Dunya Tomic, Jonathan E. Shaw, Dianna J. Magliano
    Canadian Journal of Diabetes.2023;[Epub]     CrossRef
  • Two years of SARS-CoV-2 infection (2019–2021): structural biology, vaccination, and current global situation
    Waqar Ahmad, Khadija Shabbiri
    The Egyptian Journal of Internal Medicine.2022;[Epub]     CrossRef
  • Baseline haemoglobin A1c and the risk of COVID‐19 hospitalization among patients with diabetes in the INSIGHT Clinical Research Network
    Jea Young Min, Nicholas Williams, Will Simmons, Samprit Banerjee, Fei Wang, Yongkang Zhang, April B. Reese, Alvin I. Mushlin, James H. Flory
    Diabetic Medicine.2022;[Epub]     CrossRef
  • The Role of Diabetes and Hyperglycemia on COVID-19 Infection Course—A Narrative Review
    Evangelia Tzeravini, Eleftherios Stratigakos, Chris Siafarikas, Anastasios Tentolouris, Nikolaos Tentolouris
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     CrossRef
  • Impact of Type 2 Diabetes Mellitus on the Incidence and Outcomes of COVID-19 Needing Hospital Admission According to Sex: Retrospective Cohort Study Using Hospital Discharge Data in Spain, Year 2020
    Jose M. de Miguel-Yanes, Rodrigo Jimenez-Garcia, Javier de Miguel-Diez, Valentin Hernández-Barrera, David Carabantes-Alarcon, Jose J. Zamorano-Leon, Ricardo Omaña-Palanco, Ana Lopez-de-Andres
    Journal of Clinical Medicine.2022; 11(9): 2654.     CrossRef
  • The burden and risks of emerging complications of diabetes mellitus
    Dunya Tomic, Jonathan E. Shaw, Dianna J. Magliano
    Nature Reviews Endocrinology.2022; 18(9): 525.     CrossRef
  • A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
    Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
    Mathematics.2022; 10(21): 4027.     CrossRef
  • New-Onset Diabetes Mellitus Presenting As Diabetic Ketoacidosis in Patients With COVID-19: A Case Series
    Aysha Sarwani, Mahmood Al Saeed, Husain Taha, Rawdha M Al Fardan
    Cureus.2021;[Epub]     CrossRef
  • The management of type 2 diabetes before, during and after Covid-19 infection: what is the evidence?
    Leszek Czupryniak, Dror Dicker, Roger Lehmann, Martin Prázný, Guntram Schernthaner
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
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Hypothalamus and Pituitary gland
Medical Treatment with Somatostatin Analogues in Acromegaly: Position Statement
Sang Ouk Chin, Cheol Ryong Ku, Byung Joon Kim, Sung-Woon Kim, Kyeong Hye Park, Kee Ho Song, Seungjoon Oh, Hyun Koo Yoon, Eun Jig Lee, Jung Min Lee, Jung Soo Lim, Jung Hee Kim, Kwang Joon Kim, Heung Yong Jin, Dae Jung Kim, Kyung Ae Lee, Seong-Su Moon, Dong Jun Lim, Dong Yeob Shin, Se Hwa Kim, Min Jeong Kwon, Ha Young Kim, Jin Hwa Kim, Dong Sun Kim, Chong Hwa Kim
Endocrinol Metab. 2019;34(1):53-62.   Published online March 21, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.1.53
  • 6,150 View
  • 244 Download
  • 8 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   ePub   

The Korean Endocrine Society (KES) published clinical practice guidelines for the treatment of acromegaly in 2011. Since then, the number of acromegaly cases, publications on studies addressing medical treatment of acromegaly, and demands for improvements in insurance coverage have been dramatically increasing. In 2017, the KES Committee of Health Insurance decided to publish a position statement regarding the use of somatostatin analogues in acromegaly. Accordingly, consensus opinions for the position statement were collected after intensive review of the relevant literature and discussions among experts affiliated with the KES, and the Korean Neuroendocrine Study Group. This position statement includes the characteristics, indications, dose, interval (including extended dose interval in case of lanreotide autogel), switching and preoperative use of somatostatin analogues in medical treatment of acromegaly. The recommended approach is based on the expert opinions in case of insufficient clinical evidence, and where discrepancies among the expert opinions were found, the experts voted to determine the recommended approach.

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  • Evaluation and Management of Bone Health in Patients with Thyroid Diseases: A Position Statement of the Korean Thyroid Association
    A Ram Hong, Ho-Cheol Kang
    Endocrinology and Metabolism.2023; 38(2): 175.     CrossRef
  • Growth Hormone Excess: Implications and Management
    Suneela Dhaneshwar, Shrishti Shandily, Vatsalya Tiwari
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2023; 23(6): 748.     CrossRef
  • Revisiting the usefulness of the short acute octreotide test to predict treatment outcomes in acromegaly
    Montserrat Marques-Pamies, Joan Gil, Elena Valassi, Marta Hernández, Betina Biagetti, Olga Giménez-Palop, Silvia Martínez, Cristina Carrato, Laura Pons, Rocío Villar-Taibo, Marta Araujo-Castro, Concepción Blanco, Inmaculada Simón, Andreu Simó-Servat, Gemm
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Evaluation and Management of Bone Health in Patients with Thyroid Diseases: a Position Statement from the Korean Thyroid Association
    A Ram Hong, Hwa Young Ahn, Bu Kyung Kim, Seong Hee Ahn, So Young Park, Min-Hee Kim, Jeongmin Lee, Sun Wook Cho, Ho-Cheol Kang
    International Journal of Thyroidology.2022; 15(1): 1.     CrossRef
  • Octreotide in the treatment of acromegaly – the possibilities of high-dose therapy
    I. A. Ilovayskaya
    Meditsinskiy sovet = Medical Council.2022; (10): 148.     CrossRef
  • Approach of Acromegaly during Pregnancy
    Alexandru Dan Popescu, Mara Carsote, Ana Valea, Andreea Gabriela Nicola, Ionela Teodora Dascălu, Tiberiu Tircă, Jaqueline Abdul-Razzak, Mihaela Jana Țuculină
    Diagnostics.2022; 12(11): 2669.     CrossRef
  • Left to themselves: Time to target chronic pain in childhood rare diseases
    Christine B. Sieberg, Alyssa Lebel, Erin Silliman, Scott Holmes, David Borsook, Igor Elman
    Neuroscience & Biobehavioral Reviews.2021; 126: 276.     CrossRef
  • Severe respiratory failure in a patient with COVID-19 and acromegaly: rapid improvement after adding octreotide
    Jacob Luty, LesleAnn Hayward, Melanie Jackson, P Barton Duell
    BMJ Case Reports.2021; 14(8): e243900.     CrossRef
  • Precision Therapy in Acromegaly Caused by Pituitary Tumors: How Close Is It to Reality?
    Cheol Ryong Ku, Vladimir Melnikov, Zhaoyun Zhang, Eun Jig Lee
    Endocrinology and Metabolism.2020; 35(2): 206.     CrossRef
  • Medical Treatment with Somatostatin Analogues in Acromegaly: Position Statement
    Sang Ouk Chin, Cheol Ryong Ku, Byung Joon Kim, Sung-Woon Kim, Kyeong Hye Park, Kee Ho Song, Seungjoon Oh, Hyun Koo Yoon, Eun Jig Lee, Jung Min Lee, Jung Soo Lim, Jung Hee Kim, Kwang Joon Kim, Heung Yong Jin, Dae Jung Kim, Kyung Ae Lee, Seong-Su Moon, Dong
    The Korean Journal of Medicine.2019; 94(6): 485.     CrossRef
Close layer
Corrigendum: Correction of Acknowledgments: Epidemiology of Childhood Obesity in Korea
Kyoung Hwa Ha, Dae Jung Kim
Endocrinol Metab. 2017;32(1):144.   Published online March 20, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.1.144
  • 2,726 View
  • 26 Download
  • 2 Web of Science
  • 2 Crossref
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Citations

Citations to this article as recorded by  
  • Comparison of growth response and adverse reaction according to growth hormone dosing strategy for children with short stature: LG Growth Study
    Kyungchul Song, Mo Kyung Jung, Jun Suk Oh, Su Jin Kim, Han Saem Choi, Myeongseob Lee, Junghwan Suh, Ahreum Kwon, Hyun Wook Chae, Ho-Seong Kim
    Growth Hormone & IGF Research.2023; 69-70: 101531.     CrossRef
  • Systematic estimation of BMI
    Meng-Jie Shan, Yang-Fan Zou, Peng Guo, Jia-Xu Weng, Qing-Qing Wang, Ya-Lun Dai, Hui-Bin Liu, Yuan-Meng Zhang, Guan-Yin Jiang, Qi Xie, Ling-Bing Meng
    Medicine.2019; 98(21): e15810.     CrossRef
Close layer
Obesity and Metabolism
Epidemiology of Childhood Obesity in Korea
Kyoung Hwa Ha, Dae Jung Kim
Endocrinol Metab. 2016;31(4):510-518.   Published online November 3, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.4.510
  • 5,717 View
  • 73 Download
  • 41 Web of Science
  • 39 Crossref
AbstractAbstract PDFPubReader   

Over the past several decades, the prevalence of obesity has increased dramatically worldwide and is increasing not only in developed countries, but also in developing countries. This increase may lead to an increase in the incidence of chronic diseases throughout the lifespan. In Korean children and adolescents, the prevalence of obesity increased from 6.8% in 1998 to 10.0% in 2013. Obesity is a state that more commonly influences children and adolescents of lower socioeconomic status (SES) than those with a higher SES. However, the prevalence of metabolic syndrome in a nationally representative sample of Korean adolescents decreased from 1998 to 2012. According to the Diabetes Fact Sheet of the Korean Diabetes Association, the prevalence of type 2 diabetes among children aged 18 years or younger was 153.5 per 100,000 in 2006 and 205.0 per 100,000 in 2013. Obesity is a complex disease influenced by many interacting factors, such as adipocytokines, lipopolysaccharide-binding protein, adenovirus 36 infection, birth weight, lifestyle, and endocrine-disrupting chemicals. Obesity in youth can adversely impact practically every organ system and lead to serious consequences, such as metabolic, gastrointestinal, pulmonary, cardiovascular, and psychosocial complications. Therefore, coordinated efforts by governments, organizations, communities, and individuals are needed to prevent and treat childhood obesity. In particular, a long-term policy to improve the social environment will also be necessary.

Citations

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  • Sulfur Metabolism of the Gut Microbiome and Colorectal Cancer: The Threat to the Younger Generation
    Ji-Yeon Moon, Bong-Hyeon Kye, Seung-Hyun Ko, Ri Na Yoo
    Nutrients.2023; 15(8): 1966.     CrossRef
  • Association between Obesity and Cardiovascular Disease Risk Factors in Different Age Groups of Adolescents: An Analysis of Data from the Korean National Health and Nutritional Examination Survey
    Joowon Lee, Seul Gi Cha, Jue Seong Lee, Susan Taejung Kim, Young Hwan Song
    Children.2023; 10(5): 827.     CrossRef
  • The economic burden of adolescent internet addiction: A Korean health cost case study
    Robert W. Mead, Edward Nall
    The Social Science Journal.2023; : 1.     CrossRef
  • Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020
    Eunji Kim, Ga Bin Lee, Dong Keon Yon, Hyeon Chang Kim
    Epidemiology and Health.2023;[Epub]     CrossRef
  • Protective Effects of Melatonin in High-Fat Diet-Induced Hepatic Steatosis via Decreased Intestinal Lipid Absorption and Hepatic Cholesterol Synthesis
    Hyungjune Ku, Yeonji Kim, Alvin Lyle Kim, Garam Lee, Youngsik Choi, Bukyung Kim
    Endocrinology and Metabolism.2023; 38(5): 557.     CrossRef
  • Time Trends in the Prevalence of Atopic Dermatitis in Korean Children According to Age
    Ji Young Lee, Jihyun Kim, Kangmo Ahn
    Allergy, Asthma & Immunology Research.2022; 14(1): 123.     CrossRef
  • Additive Effects of Exercise or Nutrition Intervention in a 24-Month Multidisciplinary Treatment with a Booster Intervention for Children and Adolescents with Overweight or Obesity: The ICAAN Study
    Sarah Woo, Young-Su Ju, Young-Gyun Seo, Yoon-Myung Kim, Hyunjung Lim, Kyung-Hee Park
    Nutrients.2022; 14(2): 387.     CrossRef
  • Effectiveness of obesity interventions among South Korean children and adolescents and importance of the type of intervention component: a meta-analysis
    Siyoung Choe, Jaesin Sa, Jean-Philippe Chaput, Deokjin Kim
    Clinical and Experimental Pediatrics.2022; 65(2): 98.     CrossRef
  • Effects of a 12-Week Diet versus Diet plus Aerobic and Resistance Exercise Program on Acylated and Desacylated Ghrelin, and Ghrelin O-Acyltransferase in Adolescent Girls with Obesity
    Hyun Jun Kim, Young Jin Tak, Sang Yeoup Lee, Jeong Pyo Seo
    International Journal of Environmental Research and Public Health.2022; 19(3): 1480.     CrossRef
  • Trends and Risk Factors of Metabolic Syndrome among Korean Adolescents, 2007 to 2018 (Diabetes Metab J 2021;45:880-9)
    Dae Jung Kim
    Diabetes & Metabolism Journal.2022; 46(2): 349.     CrossRef
  • Adenovirus 36 infection and daycare starting age are associated with adiposity in children and adolescents
    Ana Carolina Lobor Cancelier, Nikhil V. Dhurandhar, Swetha Peddibhotla, Richard L. Atkinson, Helena C.G. Silva, Daisson J. Trevisol, Fabiana Schuelter-Trevisol
    Jornal de Pediatria.2021; 97(4): 420.     CrossRef
  • The association of obstructive sleep apnea with dyslipidemia in Korean children and adolescents: a single-center, cross-sectional study
    Eun Kyeong Kang, Min Jeong Jang, Ki Duk Kim, Young Min Ahn
    Journal of Clinical Sleep Medicine.2021; 17(8): 1599.     CrossRef
  • Trajectories in glycated hemoglobin and body mass index in children and adolescents with diabetes using the common data model
    Yun Jeong Lee, Sooyoung Yoo, Soyoung Yi, Seok Kim, Chunggak Lee, Jihoon Cho, Soyeon Ahn, Sunkyu Choi, Hee Hwang, Young Ah Lee, Choong Ho Shin, Hyung-Jin Yoon, Kwangsoo Kim, Eunhye Song, Jin Ho Choi, Han Wook Yoo, Young-Hak Kim, Ji Seon Oh, Eun-Ae Kang, Ga
    Scientific Reports.2021;[Epub]     CrossRef
  • Comparison of eating habits and inappropriate weight control efforts of secondary school students enrolled in a weight control program
    EunKyo Kang, Soojeong Kim, Young Ho Yun
    Nutrition Research and Practice.2021; 15(5): 628.     CrossRef
  • Association between childhood obesity and familial salt intake: analysis of data from Korean National Health and Nutrition Examination Survey, 2014–2017
    Byung Min Yoo, Mijin Kim, Min Jae Kang
    Endocrine Journal.2021; 68(9): 1127.     CrossRef
  • Regional Adolescent Obesity and Overweight Status in Korea from 2018–2019: Comparison between Two Data Sources
    Dong-Hee Ryu, Su-Jin Lee
    Healthcare.2021; 9(12): 1751.     CrossRef
  • Family Factors and Obesity in Relation to Mental Health Among Korean Children and Adolescents
    Hye-Mi Noh, Jane Park, Eun-Ju Sung, Young Soo Ju, Hye-Ja Lee, Yoon-Kyoung Jeong, Kyung Hee Park
    Journal of Child and Family Studies.2020; 29(5): 1284.     CrossRef
  • Distribution of Tri-Ponderal Mass Index and its Relation to Body Mass Index in Children and Adolescents Aged 10 to 20 Years
    Hong Kyu Park, Young Suk Shim
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(3): e826.     CrossRef
  • The change in prevalence of suspected non-alcoholic fatty liver disease in Korean adolescents from 2001 to 2017
    Seung Ha Park, Yong Eun Park, Jin Lee, Joon Hyuk Choi, Nae Yun Heo, Jongha Park, Tae Oh Kim, Jun Seong Hwang, Eunju Kim, Eun Hye Oh, Hang Jea Jang, Ha Young Park, Hyun Kuk Kim
    Paediatrics and International Child Health.2020; 40(3): 166.     CrossRef
  • Effect of inactivated Bifidobacterium longum intake on obese diabetes model mice (TSOD)
    Mahmoud Ben Othman, Kazuichi Sakamoto
    Food Research International.2020; 129: 108792.     CrossRef
  • Self and parent-proxy rated health-related quality of life (HRQoL) in youth with obesity: are parents good surrogates?
    Delicia Shu Qin Ooi, Kah Yin Loke, Cindy Wei Li Ho, Yvonne Yijuan Lim, Veronica Tay, Vijaya Karuppiah, Andrew Anjian Sng, Lester Yousheng Lai, Yung Seng Lee, Konstadina Griva
    Quality of Life Research.2020; 29(8): 2171.     CrossRef
  • Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity
    De-Xian Kong, Xiao-feng Su, Jing-wei Zhao, Lian Chen, Ling-bing Meng, Zhen-xi Zhang, Sen Yang, Lei Zhang, Ya-bin Liu
    Journal of International Medical Research.2020; 48(8): 030006052094588.     CrossRef
  • Association between Parent’s Metabolic Syndrome and 12- to18-Year-Old Offspring’s Overweight: Results from the Korea National Health and Nutrition Examination Survey (K-NHANES) 2009–2016
    Na Yeong Lee, Kyungdo Han, Yoonji Lee, Seulki Kim, Seonhwa Lee, Yujung Choi, Moon bae Ahn, Shin Hee Kim, Won Kyoung Cho, Kyoung Soon Cho, Min Ho Jung, Yong-Gyu Park, Byung-Kyu Suh, Silvia Monticone
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Incidence and Prevalence of Type 1 Diabetes Mellitus among Korean Children and Adolescents between 2007 and 2017: An Epidemiologic Study Based on a National Database
    Hyun Wook Chae, Gi Hyeon Seo, Kyungchul Song, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Sangmi Ha, Ho-Seong Kim
    Diabetes & Metabolism Journal.2020; 44(6): 866.     CrossRef
  • Quick assessment with controlled attenuation parameter for hepatic steatosis in children based on MRI-PDFF as the gold standard
    Jaeseung Shin, Myung-Joon Kim, Hyun Joo Shin, Haesung Yoon, Seung Kim, Hong Koh, Mi-Jung Lee
    BMC Pediatrics.2019;[Epub]     CrossRef
  • Changing patterns of multiple sclerosis in Korea: Toward a more baseline MRI lesions and intrathecal humoral immune responses
    Hyun-June Shin, Jae-Won Hyun, Su-Hyun Kim, Min Su Park, Eun Hee Sohn, Seol-Hee Baek, Byung-Jo Kim, Kyomin Choi, Jeeyoung Oh, Joong-Yang Cho, Ohyun Kwon, Woojun Kim, Jee-Eun Kim, Ju-Hong Min, Byoung Joon Kim, Sun-Young Oh, Jong Seok Bae, Kee Hong Park, Jun
    Multiple Sclerosis and Related Disorders.2019; 35: 209.     CrossRef
  • Serum osteocalcin levels in overweight children
    Seok Bin Oh, Won Young Lee, Hyo-Kyoung Nam, Young-Jun Rhie, Kee-Hyoung Lee
    Annals of Pediatric Endocrinology & Metabolism.2019; 24(2): 104.     CrossRef
  • Associations between lipid profiles of adolescents and their mothers based on a nationwide health and nutrition survey in South Korea
    Ji Hyung Nam, Jaeyong Shin, Sung-In Jang, Ji Hyun Kim, Kyu-Tae Han, Jun Kyu Lee, Yun Jeong Lim, Eun-Cheol Park
    BMJ Open.2019; 9(3): e024731.     CrossRef
  • Association of Weight Control Behaviors with Body Mass Index in Korean Adolescents: A Quantile Regression Approach
    Sun-Mi Chae, Mi Ja Kim, Chang Gi Park, Ji-Young Yeo, Ji-Hye Hwang, Insook Kwon, Soo-Yeon Han
    Journal of Pediatric Nursing.2018; 40: e18.     CrossRef
  • Associations between birth weight, obesity, fat mass and lean mass in Korean adolescents: the Fifth Korea National Health and Nutrition Examination Survey
    Myunggee Kang, Jung Eun Yoo, Kyuwoong Kim, Seulggie Choi, Sang Min Park
    BMJ Open.2018; 8(2): e018039.     CrossRef
  • Thyroid function in obese Korean children and adolescents: Korea National Health and Nutrition Examination Survey 2013–2015
    Young Min An, Soon Jeong Moon, Soon Ki Kim, Young Ju Suh, Ji Eun Lee
    Annals of Pediatric Endocrinology & Metabolism.2018; 23(3): 141.     CrossRef
  • Validation of Dietary Reference Intakes for predicting energy requirements in elementary school-age children
    Eun-Kyung Kim, Didace Ndahimana, Kazuko Ishikawa-Takata, Sangjik Lee, Hyungryul Kim, Kiwon Lim, In-Sook Lee, Shigeho Tanaka, Ye-Jin Kim, Yeon-Jung Choi, Mun-Jeong Ju, Jonghoon Park
    Nutrition Research and Practice.2018; 12(4): 336.     CrossRef
  • Family-based treatment for obesity in tweens: a three-year longitudinal follow-up study
    Hongsik J. Cheon, Jay R. Fraser, Trang Kieu Nguyen
    International Journal of Advertising.2018; 37(4): 548.     CrossRef
  • Anti-obesity effects of Clausena excavata in high-fat diet-induced obese mice
    Young-Rak Cho, Jung A. Lee, Yoon Yeon Kim, Jae-Shin Kang, Jae-Ho Lee, Eun-Kyung Ahn
    Biomedicine & Pharmacotherapy.2018; 99: 253.     CrossRef
  • Hypertension Risk of Obesity and Abdominal Obesity in High School Students
    Yu jin Kwak, Ji Hyen Lee, Young Mi Hong, Hae Soon Kim
    The Ewha Medical Journal.2018; 41(1): 13.     CrossRef
  • Articles inEndocrinology and Metabolismin 2016
    Won-Young Lee
    Endocrinology and Metabolism.2017; 32(1): 62.     CrossRef
  • Management of childhood obesity
    Shin-Hye Kim, Mi-Jung Park
    Journal of the Korean Medical Association.2017; 60(3): 233.     CrossRef
  • Prevalences and Management of Diabetes and Pre-diabetes among Korean Teenagers and Young Adults: Results from the Korea National Health and Nutrition Examination Survey 2005–2014
    Eun-Hee Cho, Dayeon Shin, Keun-Hyok Cho, Junguk Hur
    Journal of Korean Medical Science.2017; 32(12): 1984.     CrossRef
  • Prevalence and risk factors for type 2 diabetes mellitus with Prader–Willi syndrome: a single center experience
    Aram Yang, Jinsup Kim, Sung Yoon Cho, Dong-Kyu Jin
    Orphanet Journal of Rare Diseases.2017;[Epub]     CrossRef
Close layer
Clinical Study
Trends in Diabetes Incidence in the Last Decade Based on Korean National Health Insurance Claims Data
Sun Ok Song, Yong-ho Lee, Dong Wook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung-Wan Lee
Endocrinol Metab. 2016;31(2):292-299.   Published online June 10, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.2.292
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Epidemiological data is useful to estimate the necessary manpower and resources used for disease control and prevention of prevalent chronic diseases. We aimed to evaluate the incidence of diabetes and identify its trends based on the claims data from the National Health Insurance Service database over the last decade.

Methods

We extracted claims data on diabetes as the principal and first additional diagnoses of National Health Insurance from January 2003 to December 2012. We investigated the number of newly claimed subjects with diabetes codes, the number of claims and the demographic characteristics of this population.

Results

Total numbers of claimed cases and populations with diabetes continuously increased from 1,377,319 in 2003 to 2,571,067 by 2012. However, the annual number of newly claimed diabetic subjects decreased in the last decade. The total number of new claim patients with diabetes codes decreased as 30.9% over 2005 to 2009. Since 2009, the incidence of new diabetes claim patients has not experienced significant change. The 9-year average incidence rate was 0.98% and 1.01% in men and women, respectively. The data showed an increasing proportion of new diabetic subjects of younger age (<60 years) combined with a sharply decreasing proportion of subjects of older age (≥60 years).

Conclusion

There were increasing numbers of newly claimed subjects with diabetes codes of younger age over the last 10 years. This increasing number of diabetic patients will require management throughout their life courses because Korea is rapidly becoming an aging society.

Citations

Citations to this article as recorded by  
  • Changing landscape of diabetes in Asia – What are the unmet needs?
    Andrea OY Luk
    Journal of Diabetes Investigation.2024;[Epub]     CrossRef
  • Risks of colorectal cancer and biliary cancer according to accompanied primary sclerosing cholangitis in Korean patients with ulcerative colitis: a nationwide population-based study
    Eun Hye Oh, Ye-Jee Kim, Minju Kim, Seung Ha Park, Tae Oh Kim, Sang Hyoung Park
    Intestinal Research.2023; 21(2): 252.     CrossRef
  • The role of nutritional status in the relationship between diabetes and health-related quality of life
    Sohyun Park, Sukyoung Jung, Hyunsook Yoon
    Nutrition Research and Practice.2022; 16(4): 505.     CrossRef
  • Lifetime risk of developing diabetes in Chinese people with normoglycemia or prediabetes: A modeling study
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    PLOS Medicine.2022; 19(7): e1004045.     CrossRef
  • Rising Incidence of Diabetes in Young Adults in South Korea: A National Cohort Study
    Hyun Ho Choi, Giwoong Choi, Hojun Yoon, Kyoung Hwa Ha, Dae Jung Kim
    Diabetes & Metabolism Journal.2022; 46(5): 803.     CrossRef
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    Biomedicines.2022; 10(10): 2435.     CrossRef
  • Relationship between dermatitis and joint replacement: A nationwide population-based cohort study
    JoonWoo Jung, Minkook Son, SooHyun Jeong, KwangJoong Kim, KwangHo Kim, EunJoo Park
    Indian Journal of Dermatology.2022; 67(3): 312.     CrossRef
  • Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study
    Seok-Ju Hahn, Suhyeon Kim, Young Sik Choi, Junghye Lee, Jihun Kang
    eBioMedicine.2022; 86: 104383.     CrossRef
  • A Novel User Utility Score for Diabetes Management Using Tailored Mobile Coaching: Secondary Analysis of a Randomized Controlled Trial
    Min-Kyung Lee, Da Young Lee, Hong-Yup Ahn, Cheol-Young Park
    JMIR mHealth and uHealth.2021; 9(2): e17573.     CrossRef
  • Estimating the disease burden of Korean type 2 diabetes mellitus patients considering its complications
    Juyoung Kim, Seok-Jun Yoon, Min-Woo Jo, Brecht Devleesschauwer
    PLOS ONE.2021; 16(2): e0246635.     CrossRef
  • Positive association between actinic keratosis and internal malignancies: a nationwide population-based cohort study
    Young Bok Lee, Ji Hyun Lee, Yeong Ho Kim, Ji Min Seo, Dong Soo Yu, Yong Gyu Park, Kyung Do Han
    Scientific Reports.2021;[Epub]     CrossRef
  • Herpes Zoster and Subsequent Cancer Risk: A Nationwide Population-Based Cohort Study in Korea
    Miri Kim, Kyungdo Han, Seung Ah Yoo, Ji Hyun Lee
    Dermatology.2021; 237(1): 73.     CrossRef
  • Identification of herpes zoster high‐risk group using Charlson comorbidity index: A nationwide retrospective cohort study
    Soo Ick Cho, Dong Hun Lee, Young Min Park
    The Journal of Dermatology.2020; 47(1): 47.     CrossRef
  • Increased risk of Alzheimer’s disease in patients with psoriasis: a nationwide population-based cohort study
    Miri Kim, Hyo Eun Park, Si-Hyung Lee, Kyungdo Han, Ji Hyun Lee
    Scientific Reports.2020;[Epub]     CrossRef
  • The incidence rates and risk factors of Parkinson disease in patients with psoriasis: A nationwide population-based cohort study
    Ji Hyun Lee, Kyungdo Han, Heon Yung Gee
    Journal of the American Academy of Dermatology.2020; 83(6): 1688.     CrossRef
  • Site-specific cancer risk in patients with type 2 diabetes: a nationwide population-based cohort study in Korea
    Suk Kyeong Kim, Ju-Young Jang, Dong-Lim Kim, Young A Rhyu, Suh Eun Lee, Seung-Hyun Ko, Kyungdo Han, Kee-Ho Song
    The Korean Journal of Internal Medicine.2020; 35(3): 641.     CrossRef
  • Secular trends in incidence of type 1 and type 2 diabetes in Hong Kong: A retrospective cohort study
    Andrea O. Y. Luk, Calvin Ke, Eric S. H. Lau, Hongjiang Wu, William Goggins, Ronald C. W. Ma, Elaine Chow, Alice P. S. Kong, Wing-Yee So, Juliana C. N. Chan, Sanjay Basu
    PLOS Medicine.2020; 17(2): e1003052.     CrossRef
  • Long‐term risk of congestive heart failure in younger breast cancer survivors: A nationwide study by the SMARTSHIP group
    Jihyoun Lee, Ho Hur, Jong Won Lee, Hyun Jo Youn, Kyungdo Han, Nam Won Kim, So‐Youn Jung, Zisun Kim, Ku Sang Kim, Min Hyuk Lee, Se‐Hwan Han, Sung Hoo Jung, Il Yong Chung
    Cancer.2020; 126(1): 181.     CrossRef
  • The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
    Juliana C N Chan, Lee-Ling Lim, Nicholas J Wareham, Jonathan E Shaw, Trevor J Orchard, Ping Zhang, Eric S H Lau, Björn Eliasson, Alice P S Kong, Majid Ezzati, Carlos A Aguilar-Salinas, Margaret McGill, Naomi S Levitt, Guang Ning, Wing-Yee So, Jean Adams,
    The Lancet.2020; 396(10267): 2019.     CrossRef
  • Prognosis of Patients with Colorectal Cancer with Diabetes According to Medication Adherence: A Population-Based Cohort Study
    Sunho Choe, Joonki Lee, Ji Won Park, Seung-Yong Jeong, Young Min Cho, Byung-Joo Park, Aesun Shin
    Cancer Epidemiology, Biomarkers & Prevention.2020; 29(6): 1120.     CrossRef
  • Trends in Hyperglycemic Crisis Hospitalizations and in- and out-of-Hospital Mortality in the Last Decade Based on Korean National Health Insurance Claims Data
    Ji Hong You, Sun Ok Song, Se Hee Park, Kyoung Hye Park, Joo Young Nam, Dong Wook Kim, Hyun Min Kim, Dong-Jun Kim, Yong-ho Lee, Byung-Wan Lee
    Endocrinology and Metabolism.2019; 34(3): 275.     CrossRef
  • Response: Trends in Hyperglycemic Crisis Hospitalizations and in- and out-of-Hospital Mortality in the Last Decade Based on Korean National Health Insurance Claims Data (Endocrinol Metab 2019;34:275–81, Ji Hong You et al.)
    Ji Hong You, Sun Ok Song
    Endocrinology and Metabolism.2019; 34(4): 424.     CrossRef
  • A simple screening score to predict diabetes in cancer patients
    Ji-Su Kim, Sun-Hye Ko, Myong Ki Baeg, Kyung-Do Han
    Medicine.2019; 98(51): e18354.     CrossRef
  • Cancer risk in 892 089 patients with psoriasis in Korea: A nationwide population‐based cohort study
    Ji Hyun Lee, Hyo Jung Kim, Kyung Do Han, Ha‐Na Kim, Young Min Park, Jun Young Lee, Yong‐Gyu Park, Young Bok Lee
    The Journal of Dermatology.2019; 46(2): 95.     CrossRef
  • Effects of sarpogrelate on microvascular complications with type 2 diabetes
    Hyunju Yoo, Inwhee Park, Dae Jung Kim, Sukhyang Lee
    International Journal of Clinical Pharmacy.2019; 41(2): 563.     CrossRef
  • Presence of Metabolic Syndrome Components Is Associated with Tooth Loss in Middle-Aged Adults
    Min-Jeong Cho, Youn-Hee Choi, Hyeon Chang Kim, Jee-Seon Shim, Atsuo Amano, Ji-Young Kim, Keun-Bae Song
    Yonsei Medical Journal.2019; 60(6): 554.     CrossRef
  • Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013
    Kyeong Jin Kim, Tae Yeon Kwon, Sungwook Yu, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Sin Gon Kim, Yousung Park, Nam Hoon Kim
    Diabetes & Metabolism Journal.2018; 42(5): 394.     CrossRef
  • Cancer risk by the subtype of alopecia
    Ji Hyun Lee, Yumee Song, Kyung Do Han, Young Min Park, Jun Young Lee, Yong-Gyu Park, Young Bok Lee
    Scientific Reports.2018;[Epub]     CrossRef
  • Nationwide Analysis of Treatment Patterns for Korean Breast Cancer Survivors Using National Health Insurance Service Data
    Il Yong Chung, Jihyoun Lee, Suyeon Park, Jong Won Lee, Hyun Jo Youn, Jung Hwa Hong, Ho Hur
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) cohort: study protocol and results of the first 3 years of enrollment
    Jee-Seon Shim, Bo Mi Song, Jung Hyun Lee, Seung Won Lee, Ji Hye Park, Dong Phil Choi, Myung Ha Lee, Kyoung Hwa Ha, Dae Jung Kim, Sungha Park, Won-Woo Lee, Hyeon Chang Kim
    Epidemiology and Health.2017; 39: e2017016.     CrossRef
  • Effectiveness of Vildagliptin in Clinical Practice: Pooled Analysis of Three Korean Observational Studies (the VICTORY Study)
    Sunghwan Suh, Sun Ok Song, Jae Hyeon Kim, Hyungjin Cho, Woo Je Lee, Byung-Wan Lee
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Articles inEndocrinology and Metabolismin 2016
    Won-Young Lee
    Endocrinology and Metabolism.2017; 32(1): 62.     CrossRef
  • Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
    Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
    Diabetes & Metabolism Journal.2017; 41(5): 377.     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
Close layer
Adrenal gland
How to Establish Clinical Prediction Models
Yong-ho Lee, Heejung Bang, Dae Jung Kim
Endocrinol Metab. 2016;31(1):38-44.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.38
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  • 108 Web of Science
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AbstractAbstract PDFPubReader   

A clinical prediction model can be applied to several challenging clinical scenarios: screening high-risk individuals for asymptomatic disease, predicting future events such as disease or death, and assisting medical decision-making and health education. Despite the impact of clinical prediction models on practice, prediction modeling is a complex process requiring careful statistical analyses and sound clinical judgement. Although there is no definite consensus on the best methodology for model development and validation, a few recommendations and checklists have been proposed. In this review, we summarize five steps for developing and validating a clinical prediction model: preparation for establishing clinical prediction models; dataset selection; handling variables; model generation; and model evaluation and validation. We also review several studies that detail methods for developing clinical prediction models with comparable examples from real practice. After model development and vigorous validation in relevant settings, possibly with evaluation of utility/usability and fine-tuning, good models can be ready for the use in practice. We anticipate that this framework will revitalize the use of predictive or prognostic research in endocrinology, leading to active applications in real clinical practice.

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  • Development and Validation of a Prognostic Model to Predict Hearing Recovery for Patients With Chronic Otitis Media
    Fengyang Xie, Xiaoyue Zhen, Haiyuan Zhu, Yan Kou, Changle Li, Ling Guo, Li Shi, Jie Han, Xuanchen Zhou
    Ear, Nose & Throat Journal.2023; 102(7): NP327.     CrossRef
  • The reporting of prognostic prediction models for obstetric care was poor: a cross-sectional survey of 10-year publications
    Chunrong Liu, Yana Qi, Xinghui Liu, Meng Chen, Yiquan Xiong, Shiyao Huang, Kang Zou, Jing Tan, Xin Sun
    BMC Medical Research Methodology.2023;[Epub]     CrossRef
  • Severity of Illness Scores and Biomarkers for Prognosis of Patients with Coronavirus Disease 2019
    Rodrigo Cavallazzi, James Bradley, Thomas Chandler, Stephen Furmanek, Julio A. Ramirez
    Seminars in Respiratory and Critical Care Medicine.2023; 44(01): 075.     CrossRef
  • Prognostic risk factor of major salivary gland carcinomas and survival prediction model based on random survival forests
    Yufan Chen, Guoli Li, Wenmei Jiang, Rong Cheng Nie, Honghao Deng, Yingle Chen, Hao Li, Yanfeng Chen
    Cancer Medicine.2023; 12(9): 10899.     CrossRef
  • Semantic Visualization in Functional Recovery Prediction of Intravenous Thrombolysis following Acute Ischemic Stroke in Patients by Using Biostatistics: An Exploratory Study
    Chih-Chun Hsiao, Chun-Gu Cheng, Cheng-Chueh Chen, Hung-Wen Chiu, Hui-Chen Lin, Chun-An Cheng
    Journal of Personalized Medicine.2023; 13(4): 624.     CrossRef
  • Clinical index to quantify the 1-year risk for common postpartum mental disorders at the time of delivery (PMH CAREPLAN): development and internal validation
    Simone N. Vigod, Natalie Urbach, Andrew Calzavara, Cindy-Lee Dennis, Andrea Gruneir, Brett D. Thombs, Mark Walker, Hilary K. Brown
    The British Journal of Psychiatry.2023; 223(3): 422.     CrossRef
  • Prediction of Foot Ulcers Using Artificial Intelligence for Diabetic Patients at Cairo University Hospital, Egypt
    Khadraa Mohamed Mousa, Farid Ali Mousa, Helalia Shalabi Mohamed, Manal Mohamed Elsawy
    SAGE Open Nursing.2023;[Epub]     CrossRef
  • Genetic Studies Investigating Susceptibility to Psoriatic Arthritis: A Narrative Review
    Mehreen Soomro, Ryan Hum, Anne Barton, John Bowes
    Clinical Therapeutics.2023; 45(9): 810.     CrossRef
  • Scope, design, and reporting of prediction models for antineoplastic drugs‐related adverse drug events: A systematic review of machine learning and traditional modeling
    Dan Jiang, Zaiwei Song, Yang Hu, Xinya Li, Rongsheng Zhao
    Journal of Evidence-Based Medicine.2023; 16(4): 420.     CrossRef
  • Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events
    Enwu Liu, Ryan Yan Liu, Karen Lim
    Applied Sciences.2023; 13(24): 13041.     CrossRef
  • Development and validation of a nomogram for predicting low birth weight among pregnant women who had antenatal care visits at Debre Markos Comprehensive and Specialized Hospital, Ethiopia
    Bezawit Melak Fente, Getayeneh Antehunegn Tesema, Temesgen Worku Gudayu, Mengstu Melkamu Asaye
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Prediction of psychosis: model development and internal validation of a personalized risk calculator
    Tae Young Lee, Wu Jeong Hwang, Nahrie S. Kim, Inkyung Park, Silvia Kyungjin Lho, Sun-Young Moon, Sanghoon Oh, Junhee Lee, Minah Kim, Choong-Wan Woo, Jun Soo Kwon
    Psychological Medicine.2022; 52(13): 2632.     CrossRef
  • Designing a Predictive Model for Colorectal Neoplasia Diagnosis Based on Clinical and Laboratory Findings in Colonoscopy Candidate Patients
    H. Ghajari, A. Sadeghi, S. Khodakarim, M. Zali, S. S. Hashemi Nazari
    Journal of Gastrointestinal Cancer.2022; 53(4): 880.     CrossRef
  • Avoiding immediate whole-body trauma CT: a prospective observational study in stable trauma patients
    Elisa Reitano, Stefano Granieri, Fabrizio Sammartano, Stefania Cimbanassi, Miriam Galati, Shailvi Gupta, Angelo Vanzulli, Osvaldo Chiara
    Updates in Surgery.2022; 74(1): 343.     CrossRef
  • Survival Estimation, Prognostic Factors Evaluation, and Prognostic Prediction Nomogram Construction of Breast Cancer Patients with Bone Metastasis in the Department of Bone and Soft Tissue Tumor: A Single Center Experience of 8 Years in Tianjin, China
    Yao Xu, Haixiao Wu, Guijun Xu, Zhuming Yin, Xin Wang, Vladimir P. Chekhonin, Karl Peltzer, Shu Li, Huiyang Li, Jin Zhang, Wenjuan Ma, Chao Zhang, Sharad Goyal
    The Breast Journal.2022; 2022: 1.     CrossRef
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    Chao Li, Guanhua Dou, Yipu Ding, Ran Xin, Jing Wang, Jun Guo, Yundai Chen, Junjie Yang
    Journal of Personalized Medicine.2022; 12(3): 437.     CrossRef
  • Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations
    Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang
    Diabetes & Metabolism Journal.2022; 46(2): 273.     CrossRef
  • The Prediction of Diabetes
    Lalit Kumar, Prashant Johri
    International Journal of Reliable and Quality E-Healthcare.2022; 11(1): 1.     CrossRef
  • Endoscopic detection of esophageal low‐grade squamous dysplasia: How to predict pathologic upgrades before treatment?
    Han Chen, Xiao Ying Zhou, Shuo Li, Liu Qin Jiang, Jie Hua, Xin Min Si, Guo Xin Zhang
    Journal of Digestive Diseases.2022; 23(4): 209.     CrossRef
  • Predicting outcomes after traumatic brain injury: A novel hospital prediction model for a patient reported outcome
    Rachel S. Morris, Juan F. Figueroa, Courtney J. Pokrzywa, Jason K. Barber, Nancy R. Temkin, Carisa Bergner, Basil S. Karam, Patrick Murphy, Lindsay D. Nelson, Purushottam Laud, Zara Cooper, Marc de Moya, Colleen Trevino, Christopher J. Tignanelli, Terri A
    The American Journal of Surgery.2022; 224(4): 1150.     CrossRef
  • Investigating factors affecting musculoskeletal disorders: Predictive models for identifying caregivers at risk
    Abdulrahman M. Khamaj, Abdulelah M. Ali, Mohd Mukhtar Alam
    Work.2022; 72(4): 1311.     CrossRef
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    Toros C. Canturk, Daniel Czikk, Eugene K. Wai, Philippe Phan, Alexandra Stratton, Wojtek Michalowski, Stephen Kingwell
    North American Spine Society Journal (NASSJ).2022; 11: 100142.     CrossRef
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    Frontiers in Oncology.2022;[Epub]     CrossRef
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    Journal of Oncology.2022; 2022: 1.     CrossRef
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    Scientific Reports.2022;[Epub]     CrossRef
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    Sophie E. Smart, Deborah Agbedjro, Antonio F. Pardiñas, Olesya Ajnakina, Luis Alameda, Ole A. Andreassen, Thomas R.E. Barnes, Domenico Berardi, Sara Camporesi, Martine Cleusix, Philippe Conus, Benedicto Crespo-Facorro, Giuseppe D'Andrea, Arsime Demjaha, M
    Schizophrenia Research.2022; 250: 1.     CrossRef
  • Factors associated with low-compliance bladder in end-stage renal disease patients and development of a clinical prediction model for urodynamic evaluation: the DUDi score
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    International Urology and Nephrology.2022; 55(1): 75.     CrossRef
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    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
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    Journal of Diabetes Science and Technology.2021; 15(5): 1161.     CrossRef
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    Thrombosis and Haemostasis.2021; 121(02): 131.     CrossRef
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    Palliative Medicine Reports.2021; 2(1): 9.     CrossRef
  • Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types
    Sarah Denzler, Diem Vuong, Marta Bogowicz, Matea Pavic, Thomas Frauenfelder, Sandra Thierstein, Eric Innocents Eboulet, Britta Maurer, Janine Schniering, Hubert Szymon Gabryś, Isabelle Schmitt-Opitz, Miklos Pless, Robert Foerster, Matthias Guckenberger, S
    The British Journal of Radiology.2021; 94(1120): 20200947.     CrossRef
  • An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design
    Jenna M. Reps, Peter Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt, Martijn Schuemie
    BMC Medical Informatics and Decision Making.2021;[Epub]     CrossRef
  • Predictive Value of Active Sacroiliitis in MRI for Flare Among Chinese Patients with Axial Spondyloarthritis in Remission
    Qing Zheng, Wen Liu, Yu Huang, Zhenyu Gao, Yuanhui Wu, Xiaohong Wang, Meimei Cai, Yan He, Shiju Chen, Bin Wang, Lingyu Liu, Shuqiang Chen, Hongjie Huang, Ling Zheng, Rihui Kang, Xiaohong Zeng, Jing Chen, Huaning Chen, Junmin Chen, Zhibin Li, Guixiu Shi
    Rheumatology and Therapy.2021; 8(1): 411.     CrossRef
  • Development of a model for predicting the 4-year risk of symptomatic knee osteoarthritis in China: a longitudinal cohort study
    Limin Wang, Han Lu, Hongbo Chen, Shida Jin, Mengqi Wang, Shaomei Shang
    Arthritis Research & Therapy.2021;[Epub]     CrossRef
  • Digital Communication Biomarkers of Mood and Diagnosis in Borderline Personality Disorder, Bipolar Disorder, and Healthy Control Populations
    George Gillett, Niall M. McGowan, Niclas Palmius, Amy C. Bilderbeck, Guy M. Goodwin, Kate E. A. Saunders
    Frontiers in Psychiatry.2021;[Epub]     CrossRef
  • Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study
    Fumin Xu, Xiao Chen, Chenwenya Li, Jing Liu, Qiu Qiu, Mi He, Jingjing Xiao, Zhihui Liu, Bingjun Ji, Dongfeng Chen, Kaijun Liu, Mirella Giovarelli
    Mediators of Inflammation.2021; 2021: 1.     CrossRef
  • Comparison of multiple statistical models for the development of clinical prediction scores to detect advanced colorectal neoplasms in asymptomatic Thai patients
    Kamonwan Soonklang, Boonying Siribumrungwong, Bunchorn Siripongpreeda, Chirayu Auewarakul
    Medicine.2021; 100(20): e26065.     CrossRef
  • European Childhood Obesity Risk Evaluation (CORE) index based on perinatal factors and maternal sociodemographic characteristics: the Feel4Diabetes-study
    Christina Mavrogianni, George Moschonis, Eva Karaglani, Greet Cardon, Violeta Iotova, Pilar De Miguel-Etayo, Esther M. González-Gil, Κaloyan Tsochev, Tsvetalina Tankova, Imre Rurik, Patrick Timpel, Emese Antal, Stavros Liatis, Konstantinos Makrilakis, Geo
    European Journal of Pediatrics.2021; 180(8): 2549.     CrossRef
  • A prognostic nomogram based on competing endogenous RNA network for clear‐cell renal cell carcinoma
    Yun Peng, Shangrong Wu, Zihan Xu, Dingkun Hou, Nan Li, Zheyu Zhang, Lili Wang, Haitao Wang
    Cancer Medicine.2021; 10(16): 5499.     CrossRef
  • Individual 5-Year Lung Cancer Risk Prediction Model in Korea Using a Nationwide Representative Database
    Yohwan Yeo, Dong Wook Shin, Kyungdo Han, Sang Hyun Park, Keun-Hye Jeon, Jungkwon Lee, Junghyun Kim, Aesun Shin
    Cancers.2021; 13(14): 3496.     CrossRef
  • Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort
    Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang
    Diabetes & Metabolism Journal.2021; 45(4): 515.     CrossRef
  • A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma
    Weifeng Zhang, Han Chen, Guoxin Zhang, Guangfu Jin
    The Journal of Biomedical Research.2021; 35(5): 361.     CrossRef
  • Relationship Between Sensibility Tests and Functional Outcomes in Patients With Traumatic Upper Limb Nerve Injuries: A Systematic Review
    Liheng Chen, Emmanuel Ogalo, Chloe Haldane, Sean G. Bristol, Michael J. Berger
    Archives of Rehabilitation Research and Clinical Translation.2021; 3(4): 100159.     CrossRef
  • Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data
    Yohwan Yeo, Dong Wook Shin, Jungkwon Lee, Kyungdo Han, Sang Hyun Park, Keun Hye Jeon, Jungeun Shin, Aesun Shin, Jinsung Park
    Journal of Personalized Medicine.2021; 12(1): 2.     CrossRef
  • Utility of prediction model score: a proposed tool to standardize the performance and generalizability of clinical predictive models based on systematic review
    Jeff Ehresman, Daniel Lubelski, Zach Pennington, Bethany Hung, A. Karim Ahmed, Tej D. Azad, Kurt Lehner, James Feghali, Zorica Buser, James Harrop, Jefferson Wilson, Shekar Kurpad, Zoher Ghogawala, Daniel M. Sciubba
    Journal of Neurosurgery: Spine.2021; 34(5): 779.     CrossRef
  • Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis
    Jennifer N. Fishe, Jiang Bian, Zhaoyi Chen, Hui Hu, Jae Min, Francois Modave, Mattia Prosperi
    Journal of Asthma.2020; 57(11): 1155.     CrossRef
  • Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis
    Shannon Wongvibulsin, Katherine C. Wu, Scott L. Zeger
    BMC Medical Research Methodology.2020;[Epub]     CrossRef
  • Prognostic models for predicting overall survival in metastatic castration-resistant prostate cancer: a systematic review
    M. Pinart, F. Kunath, V. Lieb, I. Tsaur, B. Wullich, Stefanie Schmidt
    World Journal of Urology.2020; 38(3): 613.     CrossRef
  • Peripheral Nerve Field Stimulation for Chronic Back Pain: Therapy Outcome Predictive Factors
    Eric‐Jan van Gorp, Sam Eldabe, Konstantin V. Slavin, Philippe Rigoard, Stefaan Goossens, Dorothee Mielke, Giancarlo Barolat, Christ Declerck, Chris Gilmore, Ismaïl Gültuna, Kris C.P. Vissers, Jennifer Tinsley, Rudolf Likar, Pierre‐Philippe Luyet
    Pain Practice.2020; 20(5): 522.     CrossRef
  • Biomarker Score in Risk Prediction: Beyond Scientific Evidence and Statistical Performance
    Heejung Bang
    Diabetes & Metabolism Journal.2020; 44(2): 245.     CrossRef
  • Variable selection strategies and its importance in clinical prediction modelling
    Mohammad Ziaul Islam Chowdhury, Tanvir C Turin
    Family Medicine and Community Health.2020; 8(1): e000262.     CrossRef
  • Reply to the Letter to the Editor: Derivation and Internal Validation of a Clinical Prediction Tool to Predict Nonalcoholic Fatty Liver Disease in Patients With Crohn’s Disease
    Scott McHenry, Matthew A Ciorba, Parakkal Deepak
    Inflammatory Bowel Diseases.2020; 26(6): e46.     CrossRef
  • The application of unsupervised deep learning in predictive models using electronic health records
    Lei Wang, Liping Tong, Darcy Davis, Tim Arnold, Tina Esposito
    BMC Medical Research Methodology.2020;[Epub]     CrossRef
  • Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology
    Jason E. Black, Amanda L. Terry, Daniel J. Lizotte
    International Journal of Medical Informatics.2020; 141: 104160.     CrossRef
  • An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population
    Wenjia Chen, Don D. Sin, J. Mark FitzGerald, Abdollah Safari, Amin Adibi, Mohsen Sadatsafavi
    Chest.2020; 157(3): 547.     CrossRef
  • Optimization of the management of pregnant women at high risk of miscarriage and premature birth
    Yu. A. Semenov, V. F. Dolgushina, M. G. Moscvicheva, V. S. Chulkov
    Rossiiskii vestnik akushera-ginekologa.2020; 20(1): 54.     CrossRef
  • Developing a triage tool for use in identifying people living with HIV who are at risk for non-retention in HIV care
    Merhawi T Gebrezgi, Kristopher P Fennie, Diana M Sheehan, Boubakari Ibrahimou, Sandra G Jones, Petra Brock, Robert A Ladner, Mary Jo Trepka
    International Journal of STD & AIDS.2020; 31(3): 244.     CrossRef
  • The impact of age and comorbidity on the postoperative outcomes after emergency surgical management of complicated intra-abdominal infections
    Carmen Payá-Llorente, Elías Martínez-López, Juan Carlos Sebastián-Tomás, Sandra Santarrufina-Martínez, Nicola de’Angelis, Aleix Martínez-Pérez
    Scientific Reports.2020;[Epub]     CrossRef
  • Precision health through prediction modelling: factors to consider before implementing a prediction model in clinical practice
    Mohammad Z. I. Chowdhury, Tanvir C. Turin
    Journal of Primary Health Care.2020; 12(1): 3.     CrossRef
  • Demystifying artificial intelligence in pharmacy
    Scott D Nelson, Colin G Walsh, Casey A Olsen, Andrew J McLaughlin, Joseph R LeGrand, Nick Schutz, Thomas A Lasko
    American Journal of Health-System Pharmacy.2020; 77(19): 1556.     CrossRef
  • Association does not imply prediction: the accuracy of birthweight in predicting child mortality and anthropometric failure
    Akshay Swaminathan, Rockli Kim, S.V. Subramanian
    Annals of Epidemiology.2020; 50: 7.     CrossRef
  • Who's at Risk? A Prognostic Model for Severity Prediction in Pediatric Acute Pancreatitis
    Peter R. Farrell, Lindsey Hornung, Peter Farmer, Angelica W. DesPain, Esther Kim, Ryan Pearman, Beemnet Neway, Ashley Serrette, Sona Sehgal, James E. Heubi, Tom K. Lin, Jaimie D. Nathan, David S. Vitale, Maisam Abu‐El‐Haija
    Journal of Pediatric Gastroenterology and Nutrition.2020; 71(4): 536.     CrossRef
  • Biomarkers of Fabry Nephropathy: Review and Future Perspective
    Tina Levstek, Bojan Vujkovac, Katarina Trebusak Podkrajsek
    Genes.2020; 11(9): 1091.     CrossRef
  • Coledocolitiasis y pancreatitis: las dificultades de la predicción
    David Benigno Páramo Hernández
    Revista Colombiana de Gastroenterología.2020; 35(3): 266.     CrossRef
  • Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar
    Yan Li, Matthew Sperrin, Darren M Ashcroft, Tjeerd Pieter van Staa
    BMJ.2020; : m3919.     CrossRef
  • Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness
    Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon
    Computers in Biology and Medicine.2019; 107: 145.     CrossRef
  • Machine learning models to predict disease progression among veterans with hepatitis C virus
    Monica A. Konerman, Lauren A. Beste, Tony Van, Boang Liu, Xuefei Zhang, Ji Zhu, Sameer D. Saini, Grace L. Su, Brahmajee K. Nallamothu, George N. Ioannou, Akbar K. Waljee, Davide Bacciu
    PLOS ONE.2019; 14(1): e0208141.     CrossRef
  • A novel risk calculator to predict outcome after surgery for symptomatic spinal metastases; use of a large prospective patient database to personalise surgical management
    David Choi, Menelaos Pavlou, Rumana Omar, Mark Arts, Laurent Balabaud, Jacob Maciej Buchowski, Cody Bunger, Chun Kee Chung, Maarten Hubert Coppes, Bart Depreitere, Michael George Fehlings, Norio Kawahara, Chong-Suh Lee, YeeLing Leung, Juan Antonio Martin-
    European Journal of Cancer.2019; 107: 28.     CrossRef
  • Big Data Research in Neuro-Ophthalmology: Promises and Pitfalls
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    Journal of Neuro-Ophthalmology.2019; 39(4): 480.     CrossRef
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    Diabetes & Metabolism Journal.2019; 43(1): 31.     CrossRef
  • The use of rigorous methods was strongly warranted among prognostic prediction models for obstetric care
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    Journal of Clinical Epidemiology.2019; 115: 98.     CrossRef
  • Support Vector Machines and logistic regression to predict temporal artery biopsy outcomes
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    Canadian Journal of Ophthalmology.2019; 54(1): 116.     CrossRef
  • Identifying a risk score for childhood obesity based on predictors identified in pregnant women and 1-year-old infants: An analysis of the data of the Hokkaido Study on Environment and Children’s Health
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    Clinical Pediatric Endocrinology.2019; 28(3): 81.     CrossRef
  • Development and performance evaluation of the Medicines Optimisation Assessment Tool (MOAT): a prognostic model to target hospital pharmacists’ input to prevent medication-related problems
    Cathy Geeson, Li Wei, Bryony Dean Franklin
    BMJ Quality & Safety.2019; 28(8): 645.     CrossRef
  • Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures
    Robert K. Merrill, Rocco M. Ferrandino, Ryan Hoffman, Gene W. Shaffer, Anthony Ndu
    The Journal of Foot and Ankle Surgery.2019; 58(3): 410.     CrossRef
  • Multidimensional screening for predicting pain problems in adults: a systematic review of screening tools and validation studies
    Elke Veirman, Dimitri M. L. Van Ryckeghem, Annick De Paepe, Olivia J. Kirtley, Geert Crombez
    PAIN Reports.2019; 4(5): e775.     CrossRef
  • iHealthcare: Predictive Model Analysis Concerning Big Data Applications for Interactive Healthcare Systems †
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    Applied Sciences.2019; 9(16): 3365.     CrossRef
  • Development of personalized mobile assistant for chronic disease patients: diabetes mellitus case study
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    Procedia Computer Science.2019; 156: 123.     CrossRef
  • Validation of childhood asthma predictive tools: A systematic review
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    Clinical & Experimental Allergy.2019; 49(4): 410.     CrossRef
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    Scientific Reports.2019;[Epub]     CrossRef
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  • Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers
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    International Journal of Cardiology.2019; 285: 40.     CrossRef
  • Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature
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  • Development and validation of a nomogram to predict the prognosis of patients with squamous cell carcinoma of the bladder
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    Colorectal Disease.2019; 21(3): 277.     CrossRef
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    Journal of Stroke and Cerebrovascular Diseases.2019; 28(6): 1618.     CrossRef
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  • Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review
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    Public Health Nutrition.2018; 21(17): 3135.     CrossRef
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    Law, Probability and Risk.2018; 17(3): 275.     CrossRef
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    Value in Health.2018; 21(12): 1390.     CrossRef
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Close layer
Obesity and Metabolism
Trends in the Diabetes Epidemic in Korea
Kyoung Hwa Ha, Dae Jung Kim
Endocrinol Metab. 2015;30(2):142-146.   Published online June 30, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.2.142
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AbstractAbstract PDFPubReader   

Diabetes mellitus is a leading cause of mortality and increased disability-adjusted life years worldwide. In Korea, the prevalence of diabetes increased from 8.6% to 11.0% in 2001 to 2013 and the prevalence of adult obesity, which is the most important risk factor of diabetes, increased from 29.2% to 31.8% during the same period. There has been a dramatic increase in the number of obese Koreans with diabetes in recent decades and the prevalence of diabetes in people aged 40 years and older also increased in 2001 to 2013. Nevertheless, the mean age at the first diagnosis of diabetes was very similar for men in 2005 and 2013, while the mean age for women decreased slightly. There is an inverse linear relationship between body mass index and age at the diagnosis of diabetes among those who are newly diagnosed. Accordingly, the prevalence of diabetes is increasingly shifting to younger individuals and those who are obese. Therefore, public efforts should focus on healthy lifestyle changes, primary prevention measures, screening for the early detection of diabetes, and long-term management.

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  • Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)
    Ji Cheol Bae, Soo Heon Kwak, Hyun Jin Kim, Sang-Yong Kim, You-Cheol Hwang, Sunghwan Suh, Bok Jin Hyun, Ji Eun Cha, Jong Chul Won, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2022; 46(1): 81.     CrossRef
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    International Journal of Rheumatic Diseases.2021; 24(2): 203.     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Association between living alone and incident type 2 diabetes among middle-aged individuals in Korea: a nationwide cohort study
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    Scientific Reports.2021;[Epub]     CrossRef
  • White Blood Cell Count as a Predictor of Incident Type 2 Diabetes Mellitus Among Non-Obese Adults: A Longitudinal 10-Year Analysis of the Korean Genome and Epidemiology Study
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    Journal of Inflammation Research.2021; Volume 14: 1235.     CrossRef
  • A 9-Year Comparison of Dementia Prevalence in Korea: Results of NaSDEK 2008 and 2017
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    Journal of Alzheimer's Disease.2021; 81(2): 821.     CrossRef
  • Trends of Diabetes and Prediabetes Prevalence among Korean Adolescents From 2007 to 2018
    Ji Hyun Kim, Jung Sub Lim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Breast Cancer Statistics in Korea, 2018
    Sang Yull Kang, Sae Byul Lee, Yoo Seok Kim, Zisun Kim, Hyun Yul Kim, Hee Jeong Kim, Sungmin Park, Soo Youn Bae, Kwanghyun Yoon, Se Kyung Lee, Kyu-Won Jung, Jaihong Han, Hyun Jo Youn
    Journal of Breast Cancer.2021; 24(2): 123.     CrossRef
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    Annals of the American Thoracic Society.2021; 18(5): 780.     CrossRef
  • Association between Inflammatory Markers and Glycemic Control in Korean Diabetic Patients
    Min Kang, Seok-Joon Sohn
    Journal of Health Informatics and Statistics.2021; 46(3): 247.     CrossRef
  • Associations between obesity, weight change and decreased renal function in Korean type 2 diabetic patients: a longitudinal follow-up study
    Bo-Yeon Kim, Dug-Hyun Choi, Chan-Hee Jung, Ji-Oh Mok, Chul-Hee Kim
    BMC Endocrine Disorders.2021;[Epub]     CrossRef
  • Role of Estrogen in Type 1 and Type 2 Diabetes Mellitus: A Review of Clinical and Preclinical Data
    Monica De Paoli, Geoff H. Werstuck
    Canadian Journal of Diabetes.2020; 44(5): 448.     CrossRef
  • Site-specific cancer risk in patients with type 2 diabetes: a nationwide population-based cohort study in Korea
    Suk Kyeong Kim, Ju-Young Jang, Dong-Lim Kim, Young A Rhyu, Suh Eun Lee, Seung-Hyun Ko, Kyungdo Han, Kee-Ho Song
    The Korean Journal of Internal Medicine.2020; 35(3): 641.     CrossRef
  • Alteration of Microbiome Profile by D-Allulose in Amelioration of High-Fat-Diet-Induced Obesity in Mice
    Youngji Han, Haryung Park, Bo-Ra Choi, Yosep Ji, Eun-Young Kwon, Myung-Sook Choi
    Nutrients.2020; 12(2): 352.     CrossRef
  • Type 2 diabetes: epidemiological changes at Instituto Mexicano del Seguro Social—associated with complications in Mexico
    Jessie N. Zurita-Cruz, Leticia Manuel-Apolinar, María Luisa Arellano-Flores, Alejandro Gutierrez-Gonzalez, Aleida de Jesús Rivera-Hernández, Rosa Angélica Carranza-Muleiro, Víctor Hugo Borja-Aburto, Nelly Cisneros-González
    International Journal of Diabetes in Developing Countries.2020; 40(2): 178.     CrossRef
  • Effects of Particulate Respirator Use on Cardiopulmonary Function in Elderly Women: a Quasi-Experimental Study
    Youn-Hee Lim, Woosung Kim, Yumi Choi, Hwan-Cheol Kim, Geunjoo Na, Hyoung-Ryoul Kim, Yun-Chul Hong
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • GLP‑1 receptor agonist on cardiovascular complications of diabetes mellitus
    Fengjun Liu, Yanhua Kong
    Experimental and Therapeutic Medicine.2020;[Epub]     CrossRef
  • Plasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity
    Seung-Soon Im, Hyeon Young Park, Jong Cheol Shon, In-Sung Chung, Ho Chan Cho, Kwang-Hyeon Liu, Dae-Kyu Song, Kyoung Heon Kim
    PLOS ONE.2019; 14(3): e0213285.     CrossRef
  • Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
    Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
    Diabetes & Metabolism Journal.2019; 43(4): 487.     CrossRef
  • Analysis of diabetes quality assessment findings and future directions for the appropriate management of diabetes in Korea
    Yu Jin Kim, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Sang Youl Rhee
    The Korean Journal of Internal Medicine.2019; 34(1): 125.     CrossRef
  • Diabetes and the Risk of Infection: A National Cohort Study
    Eun Jin Kim, Kyoung Hwa Ha, Dae Jung Kim, Young Hwa Choi
    Diabetes & Metabolism Journal.2019; 43(6): 804.     CrossRef
  • Age-specific diabetes risk by the number of metabolic syndrome components: a Korean nationwide cohort study
    Min-Kyung Lee, Kyungdo Han, Hyuk-Sang Kwon
    Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
  • Changes in real-life practice for hepatocellular carcinoma patients in the Republic of Korea over a 12-year period: A nationwide random sample study
    Beom Kyung Kim, Do Young Kim, Kwang-Hyub Han, Jinsil Seong, Jung Weon Lee
    PLOS ONE.2019; 14(10): e0223678.     CrossRef
  • Association between continuity of care and type 2 diabetes development among patients with thyroid disorder
    Sang Ah Lee, Dong-Woo Choi, Junhyun Kwon, Doo Woong Lee, Eun-Cheol Park
    Medicine.2019; 98(52): e18537.     CrossRef
  • Association of C-Reactive Protein with Risk of Developing Type 2 Diabetes Mellitus, and Role of Obesity and Hypertension: A Large Population-Based Korean Cohort Study
    Suganya Kanmani, Minji Kwon, Moon-Kyung Shin, Mi Kyung Kim
    Scientific Reports.2019;[Epub]     CrossRef
  • Egg consumption is associated with a lower risk of type 2 diabetes in middle-aged and older men
    Jieul Lee, Jihye Kim
    Nutrition Research and Practice.2018; 12(5): 396.     CrossRef
  • Diabetes, Frequency of Exercise, and Mortality Over 12 Years: Analysis of the National Health Insurance Service-Health Screening (NHIS-HEALS) Database
    Woo Young Shin, Taehee Lee, Da-Hye Jeon, Hyeon Chang Kim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Epidemiology of liver cancer in South Korea
    Bo Hyun Kim, Joong-Won Park
    Clinical and Molecular Hepatology.2018; 24(1): 1.     CrossRef
  • Letter: Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index (Diabetes Metab J 2018;42:137-46)
    Ah Reum Khang
    Diabetes & Metabolism Journal.2018; 42(3): 249.     CrossRef
  • Efficacy and safety of Panax ginseng berry extract on glycemic control: A 12-wk randomized, double-blind, and placebo-controlled clinical trial
    Han Seok Choi, Sunmi Kim, Min Jung Kim, Myung-Sunny Kim, Juewon Kim, Chan-Woong Park, Daebang Seo, Song Seok Shin, Sang Woo Oh
    Journal of Ginseng Research.2018; 42(1): 90.     CrossRef
  • Response: Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index (Diabetes Metab J2018;42:137-46)
    Kyoung Hwa Ha, Dae Jung Kim, Sungrae Kim
    Diabetes & Metabolism Journal.2018; 42(3): 251.     CrossRef
  • Prediction of Type 2 Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Obesity & Metabolic Syndrome.2018; 27(4): 213.     CrossRef
  • Waist‐to‐calf circumstance ratio is an independent predictor of hepatic steatosis and fibrosis in patients with type 2 diabetes
    Eun Yeong Choe, Yong‐ho Lee, Young Ju Choi, Byung Wook Huh, Byung‐Wan Lee, Soo‐Kyung Kim, Eun Seok Kang, Bong‐Soo Cha, Eun Jig Lee, Kap Bum Huh, Zobair M Younossi
    Journal of Gastroenterology and Hepatology.2018; 33(5): 1082.     CrossRef
  • Prevalence of Comorbidities among Patients with Diabetes
    Suyoung Kim, Eun-Hee Nah, Seon Cho
    Journal of Health Informatics and Statistics.2018; 43(3): 237.     CrossRef
  • Risk of new-onset diabetes among patients treated with statins according to hypertension and gender: Results from a nationwide health-screening cohort
    Sang-Eun Lee, Ji Min Sung, In-Jeong Cho, Hyeon Chang Kim, Hyuk-Jae Chang, Lamberto Manzoli
    PLOS ONE.2018; 13(4): e0195459.     CrossRef
  • Outcomes of living donor kidney transplantation in diabetic patients: age and sex matched comparison with non-diabetic patients
    Chung Hee Baek, Hyosang Kim, Seung Don Baek, Mun Jang, Wonhak Kim, Won Seok Yang, Duck Jong Han, Su-Kil Park
    The Korean Journal of Internal Medicine.2018; 33(2): 356.     CrossRef
  • An Analysis of The Morbidity and Mortality of Diabetes Mellitus in a Forensic Context
    Chong Zhou, Roger W. Byard
    Journal of Forensic Sciences.2018; 63(4): 1149.     CrossRef
  • Favorable glycemic response after pancreatoduodenectomy in both patients with pancreatic cancer and patients with non-pancreatic cancer
    Seo Young Sohn, Eun Kyung Lee, Sung-Sik Han, You Jin Lee, Yul Hwangbo, Young Hwa Kang, Seung Duk Lee, Seong Hoon Kim, Sang Myung Woo, Woo Jin Lee, Eun Kyung Hong, Sang-Jae Park
    Medicine.2018; 97(18): e0590.     CrossRef
  • Comparison of Open and Laparoscopic Gastrectomy in Elderly Patients
    Su Mi Kim, Ho Geun Youn, Ji Yeong An, Yoon Young Choi, Sung Hoon Noh, Seung Jong Oh, Tae Sung Sohn, Sung Kim
    Journal of Gastrointestinal Surgery.2018; 22(5): 785.     CrossRef
  • Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study
    Kyoung Hwa Ha, Yong-ho Lee, Sun Ok Song, Jae-woo Lee, Dong Wook Kim, Kyung-hee Cho, Dae Jung Kim
    Diabetes & Metabolism Journal.2018; 42(5): 402.     CrossRef
  • Trends in diabetes prevalence among Korean adults based on Korean National Health and Nutrition Examination Surveys III–VI
    Jae-woo Lee, Hee-Taik Kang, Hyoung-Ji Lim, Byoungjin Park
    Diabetes Research and Clinical Practice.2018; 138: 57.     CrossRef
  • Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index
    Kyoung Hwa Ha, Cheol Young Park, In Kyung Jeong, Hyun Jin Kim, Sang-Yong Kim, Won Jun Kim, Ji Sung Yoon, In Joo Kim, Dae Jung Kim, Sungrae Kim
    Diabetes & Metabolism Journal.2018; 42(2): 137.     CrossRef
  • Nonalcoholic fatty liver disease-associated hepatocellular carcinoma in a hepatitis B virus-endemic area
    Chang Hwi Yoon, Young-Joo Jin, Jin Woo Lee
    European Journal of Gastroenterology & Hepatology.2018; 30(9): 1090.     CrossRef
  • Prediction of Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Metabolic and Bariatric Surgery.2018; 7(1): 22.     CrossRef
  • Incidence and predictors of type 2 diabetes among Koreans: A 12-year follow up of the Korean Genome and Epidemiology Study
    Seung Jin Han, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Nam H. Cho
    Diabetes Research and Clinical Practice.2017; 123: 173.     CrossRef
  • Glycated Hemoglobin and All-Cause Mortality in Korean Type 2 Diabetes
    Mi Suk An, Sun A Kim, Jun-Ho Lee, Seong-Woo Choi, Min-Ho Shin
    Chonnam Medical Journal.2017; 53(3): 223.     CrossRef
  • Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
    Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
    Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292.     CrossRef
  • Governmental or Social Support of Bariatric Surgery in the Asia-Pacific Region
    Jisun Lim, Young Hye Cho, Hiroshi Yamamoto, Alvin Eng, Tania Markovic, Kyoung Kon Kim
    Journal of Obesity & Metabolic Syndrome.2017; 26(1): 10.     CrossRef
  • Application of the 2013 American College of Cardiology/American Heart Association Cholesterol Guideline to the Korean National Health and Nutrition Examination Surveys from 1998 to 2012
    Young Shin Song, Tae Jung Oh, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang, Kyong Soo Park, Soo Lim
    Diabetes & Metabolism Journal.2017; 41(1): 38.     CrossRef
  • The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
    Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • The Effect and Safety of Dapagliflozin in Patients with Type 2 Diabetes: A Single-Institution Pharmacovigilance Review
    Hyung Woo Lee, Sun Joon Moon, Hee Sim Han, Eun Jeong Shin, Jin Hee Baek, Hyun-Joo Han, Young Min Cho, Kwi Suk Kim
    The Journal of Korean Diabetes.2017; 18(4): 275.     CrossRef
  • Optimal glycemic target level for colon cancer patients with diabetes
    Shin Jun Lee, Jae Hyun Kim, Seun Ja Park, So Young Ock, Su Kyoung Kwon, Young Sik Choi, Bu Kyung Kim
    Diabetes Research and Clinical Practice.2017; 124: 66.     CrossRef
  • Physician-Directed Diabetes Education without a Medication Change and Associated Patient Outcomes
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    Diabetes & Metabolism Journal.2017; 41(3): 187.     CrossRef
  • Does Weight Gain Associated with Thiazolidinedione Use Negatively Affect Cardiometabolic Health?
    Ki Dong Ko, Kyoung Kon Kim, Kyu Rae Lee
    Journal of Obesity & Metabolic Syndrome.2017; 26(2): 102.     CrossRef
  • Clinical Characteristics and Outcome of Acute Heart Failure in Korea: Results from the Korean Acute Heart Failure Registry (KorAHF)
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    Korean Circulation Journal.2017; 47(3): 341.     CrossRef
  • Factors that could explain the increasing prevalence of type 2 diabetes among adults in a Canadian province: a critical review and analysis
    Véronique Thibault, Mathieu Bélanger, Emilie LeBlanc, Lise Babin, Stuart Halpine, Beverly Greene, Michelina Mancuso
    Diabetology & Metabolic Syndrome.2016;[Epub]     CrossRef
  • Association of Waist-Height Ratio with Diabetes Risk: A 4-Year Longitudinal Retrospective Study
    Yoon Jeong Son, Jihyun Kim, Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
    Endocrinology and Metabolism.2016; 31(1): 127.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Relative and combined effects of socioeconomic status and diabetes on mortality
    Nam Hoon Kim, Tae Joon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Yousung Park, Sin Gon Kim
    Medicine.2016; 95(30): e4403.     CrossRef
  • Recent Advances in Diagnostic Strategies for Diabetic Peripheral Neuropathy
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    Endocrinology and Metabolism.2016; 31(2): 230.     CrossRef
  • Patterns of Diagnosis and Risk Factors for Type 2 Diabetes in Women with a History of Gestational Diabetes Mellitus
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    Perspectives in Nursing Science.2016; 13(1): 17.     CrossRef
  • Mortality and causes of death in a national sample of type 2 diabetic patients in Korea from 2002 to 2013
    Yu Mi Kang, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Health Performance and Challenges in Korea: a Review of the Global Burden of Disease Study 2013
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    Journal of Korean Medical Science.2016; 31(Suppl 2): S114.     CrossRef
  • Pharmacological Management of Obesity in Patients with Type 2 Diabetes: An Update
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    The Korean Journal of Obesity.2016; 25(3): 121.     CrossRef
  • Current status of managing diabetes mellitus in Korea
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    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
  • Hyperglycemia at presentation is associated with in hospital mortality in non-diabetic patient with organophosphate poisoning
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    Clinical Toxicology.2016; 54(3): 252.     CrossRef
  • Effectiveness of Web-Based Interventions for Managing Diabetes in Korea
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  • Hypoglycemia and Health Costs
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    The Journal of Korean Diabetes.2016; 17(1): 11.     CrossRef
  • Letter: Characterization of Patients with Type 2 Diabetes according to Body Mass Index: Korea National Health and Nutrition Examination Survey from 2007 to 2011 (Endocrinol Metab 2015;30:514-21, Dong-Hwa Lee et al.)
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    Endocrinology and Metabolism.2016; 31(2): 345.     CrossRef
  • Gender-Specific Associations between Socioeconomic Status and Psychological Factors and Metabolic Syndrome in the Korean Population: Findings from the 2013 Korean National Health and Nutrition Examination Survey
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  • Need for Diabetes Prevention Study
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  • Epidemiologic Characteristics of Dyslipidemia in Korea
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    Journal of Lipid and Atherosclerosis.2015; 4(2): 93.     CrossRef
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A Case of an Adrenocortical Carcinoma with Pulmonary Embolism as the Initial Manifestation.
Hyo Jin Lee, Ji Young Kwak, Young Jip Kim, Tae Ho Kim, Jan Dee Lee, Hyun Woo Lee, Hae Jin Kim, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Seung Jin Han
Endocrinol Metab. 2012;27(1):93-97.   Published online March 1, 2012
DOI: https://doi.org/10.3803/EnM.2012.27.1.93
  • 1,866 View
  • 26 Download
  • 1 Crossref
AbstractAbstract PDF
The annual incidence of a first episode of deep vein thrombosis or pulmonary embolism (PE) in the general population is 120 per 100,000. Cancer is associated with an approximately 4- to 7-fold higher risk of thrombosis. Adrenocortical carcinoma (ACC) is a rare type of malignancy, accounting for 0.02% of all cancers reported annually. Approximately 40% of ACCs are nonsecretory. Most patients with nonsecreting tumors have clinical manifestations related to tumor growth (e.g., abdominal or flank pain). Often the adrenal mass is detected by chance via radiographic imaging. As a result, most ACC patients are diagnosed at an advanced stage and have a poor prognosis. Herein, we report a case of a 54-year-old woman who was admitted to our emergency department complaining of dyspnea. She was diagnosed with ACC accompanied by thrombi in the pulmonary artery and inferior vena cava. We performed a left adrenalectomy and administered adjuvant radiotherapy. The patient is currently receiving warfarin and adjuvant mitotane therapy. She was incidentally diagnosed with ACC, with PE as the initial manifestation.

Citations

Citations to this article as recorded by  
  • Iliac vein deep vein thrombosis as an atypical presentation of an adrenocortical carcinoma
    Arshpreet Singh Badesha, Taha Khan, Engy Abdellatif
    BMJ Case Reports.2022; 15(5): e248708.     CrossRef
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A Case of Persistent Hyperkalemia After Unilateral Adrenalectomy for Aldosterone-Producing Adenoma.
Min Jae Yang, Seung Jin Han, Min Seok Lee, Eun Kyung Kim, Hae Jin Kim, Dae Jung Kim, Yoon Sok Chung, Tae Hee Lee, Jang Hee Kim, Kwan Woo Lee
J Korean Endocr Soc. 2009;24(3):201-205.   Published online September 1, 2009
DOI: https://doi.org/10.3803/jkes.2009.24.3.201
  • 1,793 View
  • 21 Download
AbstractAbstract PDF
Primary aldosteronism is a syndrome characterized by various clinical features that are due to excessive autonomous aldosterone secretion not sustained by the activation of the renin-angiotensin system. Aldosterone-producing adrenal adenoma is found in approximately 35% of the patients who suffer with primary aldosteronism. Laparoscopic adrenalectomy is the standard treatment for aldosterone-producing adrenal adenoma, and the result of this operation is normalization of the serum potassium and plasma aldosterone concentrations, as well as correcting the plasma renin activity in most cases. However, it is known that some of the patients with aldosterone-producing adrenal adenoma show transient hyperkalemia postoperatively due to the reversible suppression of the renin-aldosterone axis. We recently experienced the case of a 54-year-old woman with an aldosterone-producing adrenal adenoma, and she presented with severe hyperkalemia after unilateral adrenalectomy. Compared with the previously reported cases that showed transient suppression of the rennin-aldosterone axis for less than 7 months, our patient revealed a prolonged episode of hyperkalemia for 8 months postoperatively, and this required continuous mineralocorticoid replacement.
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A Case of Panhypopituitarism and Central Diabetes Insipidus Caused by Primary Central Nervous System Lymphoma.
Mi Sun Ahn, Soon Sun Kim, Tae Ho Kim, Seung Jin Han, Dae Jung Kim, Hugh Chul Kim, Se Hyuk Kim, Jae Ho Han, Ho Sung Kim, Yoon Sok Chung
J Korean Endocr Soc. 2008;23(4):260-265.   Published online August 1, 2008
DOI: https://doi.org/10.3803/jkes.2008.23.4.260
  • 1,675 View
  • 20 Download
AbstractAbstract PDF
Primary central nervous system (CNS) lymphoma is an uncommon neoplasm. However, the incidence of primary CNS lymphoma has increased more than 10-fold over the past three decades, and continues to accelerate. Currently, primary CNS lymphoma represents 4 to 7 percent of all newly diagnosed primary CNS tumors. Primary CNS lymphoma may arise from different parts of the brain, with deep hemispheric periventricular white matter being the most common site of origin. The presenting symptoms in primary CNS lymphoma vary depending on the location of the mass. Involvement of the hypothalamic-pituitary axis may cause hypopituitarism, diabetes insipidus, headache, diplopia, and blurred vision.
Close layer
A Case Report of an Aldosterone-producing Adrenocortical Carcinoma.
You Hong Lee, Tae Jin Park, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Myung Wook Kim, Jang Hee Kim, Tae Hi Lee, Yoon Sok Chung
J Korean Endocr Soc. 2008;23(1):56-61.   Published online February 1, 2008
DOI: https://doi.org/10.3803/jkes.2008.23.1.56
  • 1,718 View
  • 27 Download
  • 1 Crossref
AbstractAbstract PDF
Primary aldosteronism is a syndrome characterized by hypokalemic alkalosis and hypertension. Aldosterone-producing adenomas and bilateral adrenal hyperplasia are common causes of this syndrome. An aldosterone-producing adrenocortical carcinoma is a very rare cause of primary aldosteronism. Recently we experienced a case of an aldosterone-producing adrenocortical carcinoma. A 41-year-old female was admitted for evaluation of a retroperitoneal mass. Because of hypokalemia and a history of hypertension, we evaluated the patient for primary aldosteronism. The high ratio of plasma aldosterone to renin activity suggested the possibility of the presence of primary aldosteronism. We performed adrenal vein sampling for differential diagnosis of an aldosterone-producing tumor from a retroperitoneal mass. The adrenal vein sampling showed that the primary aldosteronism was due to an aldosterone-producing tumor from the left adrenal gland. Surgical findings indicated that the retroperitoneal mass originated from the left adrenal gland and the pathological diagnosis for the mass was an adrenocortical carcinoma. In conclusion, the results from the adrenal vein sampling, as well as the surgical and pathological findings demonstrate that this case was an aldosterone-producing adrenocortical carcinoma.

Citations

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  • Bone Mineral Density Reference of 10-20 year-old Korean Children and Adolescents - Based on Hologic DXA from the Korean National Health and Nutrition Examination Surveys -
    Hyeon Jeong Lee, Bong sub Song, Dong Hwan Kim, Seung Youn Kim, Joong Bum Cho, Dong Ho Kim, Jun Ah Lee, Jung Sub Lim
    Journal of Korean Society of Pediatric Endocrinology.2011; 16(2): 92.     CrossRef
Close layer
A Case Report of Symptomatic Salivary Gland Rest within the Pituitary Gland.
Tae Ho Kim, Tae Jin Park, Hae Jin Kim, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Tae Hi Lee, Ho Sung Kim, Kyung Gi Cho
J Korean Endocr Soc. 2007;22(6):436-439.   Published online December 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.6.436
  • 1,708 View
  • 22 Download
  • 5 Crossref
AbstractAbstract PDF
Although salivary gland tissues in the posterior pituitary are occasionally observed in microscopic examination at autopsy, these tissues are considered clinically silent. Only three examples of symptomatic salivary tissues in the pituitary have been previously reported. We report a case of symptomatic salivary gland rest within the pituitary gland. A 19-year-old woman complained of headache for 2 months, and dizziness, nausea, blurred vision for 1 week. Magnetic resonance imaging revealed a 1.8 cm-sized mass in sella turcica with hyperintensity on T1-weighted images. Basal hormone levels and combined pituitary stimulation test were normal. The trans-sphenoidal approach of tumor removal was performed and a pathological examination confirmed salivary gland rest without any evidence of a pituitary adenoma. The symptoms had disappeared, except for post-operative diabetes insipidus.

Citations

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  • Symptomatic salivary gland choristoma of the pituitary gland
    Pedro Iglesias, Cecilia Fernández-Mateos, Eva Tejerina
    Endocrinología, Diabetes y Nutrición.2022; 69(7): 544.     CrossRef
  • Symptomatic salivary gland choristoma of the pituitary gland
    Pedro Iglesias, Cecilia Fernández-Mateos, Eva Tejerina
    Endocrinología, Diabetes y Nutrición (English ed.).2022; 69(7): 544.     CrossRef
  • Salivary gland tissues and derived primary and metastatic neoplasms: unusual pitfalls in the work-up of sellar lesions. A systematic review
    T. Feola, F. Gianno, M. De Angelis, C. Colonnese, V. Esposito, F. Giangaspero, M.-L. Jaffrain-Rea
    Journal of Endocrinological Investigation.2021; 44(10): 2103.     CrossRef
  • Intrasellar Symptomatic Salivary Gland Rest with Inflammations
    Yusuke Tanaka, Atsuhiko Kubo, Junichi Ayabe, Masahide Watanabe, Masahiro Maeda, Yukio Tsuura, Yoshihide Tanaka
    World Neurosurgery.2015; 84(1): 189.e13.     CrossRef
  • Intracranial Salivary Gland Choristoma within Optic Nerve Dural Sheath: Case Report and Review of the Literature
    Eric B. Hintz, Gabrielle A. Yeaney, Glenn K. Buchberger, G. Edward Vates
    World Neurosurgery.2014; 81(5-6): 842.e1.     CrossRef
Close layer
A Case of Resistance Syndrome to Thyroid Hormone Associated with Mutation (G345D) in the Thyroid Hormone Receptor Beta Gene.
Tae Jin Park, Joon Koo Kang, Kyoung Woo Seo, Hae Jin Kim, Yoon Sok Chung, Kwan Woo Lee, Seon Yong Jeong, Hyon Ju Kim, Dae Jung Kim
J Korean Endocr Soc. 2007;22(4):277-281.   Published online August 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.4.277
  • 1,892 View
  • 24 Download
  • 1 Crossref
AbstractAbstract PDF
Resistance syndrome to thyroid hormone (RTH) is a rare autosomal dominant disease that is characterized by decreased tissue responsiveness to thyroid hormone, and it is mainly due to mutations of the thyroid hormone receptor beta (THRB) gene. We report here on a 36-years old male who had mild thyroid goiter and general weakness. The thyroid function test showed elevated levels of total T3 and free T4. The levels of TSH and the free alpha subunit were in normal ranges. Mutation analysis of the THRB gene revealed the missense mutation G345D. We report here on the clinical features and THRB gene mutation analysis of a case of RTH.

Citations

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  • A Case of Resistance to Thyroid Hormone with Thyroid Cancer
    Hee Kyung Kim, Doi Kim, Eun Hyung Yoo, Ji In Lee, Hye Won Jang, Alice Hyun Kyung Tan, Kyu Yeon Hur, Jae Hyeon Kim, Kwang-Won Kim, Jae Hoon Chung, Sun Wook Kim
    Journal of Korean Medical Science.2010; 25(9): 1368.     CrossRef
Close layer
A Case of Down's Syndrome with Thyrotoxic Crisis.
Jae Ho Jung, Sang Mi Ahn, Hyon J Kim, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Yoon Sok Chung
J Korean Endocr Soc. 2007;22(3):225-228.   Published online June 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.3.225
  • 1,589 View
  • 19 Download
AbstractAbstract PDF
Patients with Down's syndrome have an increased prevalence of autoimmune disorders that affect both the endocrine and non-endocrine organs. The most common thyroid abnormality in Down's syndrome is subclinical hypothyroidism (12.5~32.5%). The occurrence of Down's syndrome in conjunction with hyperthyroidism is rare (0.6~2.5%). A 35-year old female was transferred to our hospital because of hypotension and mental change. She had suffered from a poor oral intake and general weakness for the previous 1 week. She had been admitted local hospital and was diagnosed as hyperthyroidism. On the third day after admission, she lost consciousness and was then transferred to University Hospital. Physical examination revealed hypotension (76/39 mmHg), sinus tachycardia (111/min) and tachypnea (28/min). The upward-outward slant of the palpebral fissures, epicanthal folds, low-set ears, short stature and clinodactyly were all identified. The thyroid gland was not enlarged and there was no evidence of ophthalmopathy. The serum free T4 concentration was 3.32 ng/dL, the T3 level was 212 ng/dL and the TSH level was 0.01 uIU/mL. She was positive for TBII. Abdominal computed tomography showed ascites and pneumoperitoneum. Primary closure was done on the duodenal ulcer perforation site. She was treated with transrectal propylthiouracil and intravenous esmolol. Chromosomal analysis revealed 47XX and 21 trisomy. She was finally diagnosed as Down's syndrome, Graves' disease and duodenal ulcer perforation. Her hyperthyroidism was controlled with PTU 100 mg after discharge.
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The Endocrinological Characteristics of Rathke's Cleft Cyst: Pathologically Confirmed in Seven Cases.
Su Kyong Yu, Yun Kyung Kim, Hye Jin Kim, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Se Hyuk Kim, Kyung Gi Cho
J Korean Endocr Soc. 2007;22(1):74-79.   Published online February 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.1.74
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AbstractAbstract PDF
Rathke's cleft cyst is a cystic sellar or suprasellar lesion thought to originate from the remnants of Rathke's pouch. It is characteristically lined by a single layer of ciliated cuboidal or columnar epithelium. Although small asymptomatic Rathke's cleft cysts have been reported at autopsy in 2~26% of normal pituitary glands, symptomatic cysts are rare. For patients with symptomatic Rathke's cleft cysts presentation with headache, pituitary dysfunction, and visual loss caused by compression of the optic chiasm in the event of suprasellar extension, is common. We report the endocrine characteristics of seven cases of patients with symptomatic Rathke's cleft cyst diagnosed with pathologic confirmation.

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  • Risk factor for pituitary dysfunction in children and adolescents with Rathke's cleft cysts
    Han Hyuk Lim, Sei Won Yang
    Korean Journal of Pediatrics.2010; 53(7): 759.     CrossRef
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A Case of Familial Multiple Endocrine Neoplasia Type 1 with MEN1 Gene Mutation.
Young Eun Jo, Yong Jun Choi, Yun Kyung Kim, Sang Mi Ahn, Sun Hye Jung, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Ji Hee Hong, Seon Yong Jeong, Hyon J Kim, Yoon Sok Chung
J Korean Endocr Soc. 2007;22(1):68-73.   Published online February 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.1.68
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AbstractAbstract PDF
Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant disorder characterized by the combined occurrence of parathyroid, pancreatic islet and pituitary gland tumors. It is caused by mutation of the MEN1, a tumor suppressor gene, with more than 400 different MEN1 mutations having been described. Herein is reported the case of a 26-year-old woman who had complained of personality and behavior changes, coupled with repetitive loss of consciousness. Her random plasma glucose and insulin were 68 mg/dL and 67.3 microIU/mL, respectively. Two pancreatic masses were noted on abdominal computed tomography, with hypercalcemia noted from a routine chemistry test. Her diagnosis was that of MEN1; therefore, her first-degree relatives were also screened. DNA analysis was also performed, from which a MEN1 gene mutation (738del4 -> new nomenclature: 628del4) was detected. Knowledge of the MEN1 mutation status could provide early recognition of a tumor.

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  • Genetic and Epigenetic Analysis in Korean Patients with Multiple Endocrine Neoplasia Type 1
    Yoon Jung Chung, Sena Hwang, Jong Ju Jeong, Sun Yong Song, Se Hoon Kim, Yumie Rhee
    Endocrinology and Metabolism.2014; 29(3): 270.     CrossRef
  • Somatic Mutational Analysis of MEN1 and Phenotypic Correlation in Sporadic Parathyroid Tumors
    Young Su Chae, Hee Jin Kim, Sun Wook Kim, Myung-Chul Chang
    Journal of the Korean Surgical Society.2009; 76(1): 15.     CrossRef
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Relationship between Diabetic Peripheral Vascular Disease and Ankle-Brachial Index.
Bo Ram Koh, Yun Kyung Kim, Sang Mi Ahn, Kyoung Eun Song, Sun Hye Jung, Hae Jin Kim, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee
J Korean Endocr Soc. 2006;21(5):382-388.   Published online October 1, 2006
DOI: https://doi.org/10.3803/jkes.2006.21.5.382
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AbstractAbstract PDF
BACKGROUND
Peripheral vascular disease (PVD) is a primary risk factor of foot amputation. In patients with diabetes mellitus (DM), the frequency of PVD is twice that of the general population. The ankle-brachial index (ABI) is a valuable diagnostic test for PVD. In this study, we investigated the relationship between the ABI and PVD, as well as the cutoff value of ABI in the diagnosis of PVD, and analyzed whether the ABI can be used as a predictor for amputation. METHODS: Fifty-two type 2 DM patients (31 males, 21 females) underwent peripheral angiography. PVD was defined as the complete obstruction of arteries and/or significant luminal narrowing, with collateral vessels formation, using peripheral angiography. The ABI was calculated by measurement of the segmental pressure using the Doppler method. RESULTS: Significant differences were observed between PVD and non-PVD patients in terms of age, systolic pressure and total cholesterol (each P < 0.05). The ABI was significantly lower in legs with PVD (P < 0.01) and an ABI less than 0.90 was adequate for diagnosing PVD. The risk of amputation was significantly increased in relation to the ABI level, and the risk of amputation was 21.5 times greater in a leg with an ABI less than 0.40 compared to 0.90 (P = 0.021). CONCLUSION: ABI is a good diagnostic test for PVD and a good predictor of the need for amputation.

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  • The Relationship between Body Mass Index and Diabetic Foot Ulcer, Sensory, Blood Circulation of Foot on Type II Diabetes Mellitus Patients
    Yi Kyu Park, Jun Young Lee, Sung Jung, Kang Hyeon Ryu
    Journal of the Korean Orthopaedic Association.2018; 53(2): 136.     CrossRef
  • The Relationship Between the Metabolic Syndrome and Systolic Inter-Arm Systolic Blood Pressure Difference in Korean Adults
    Hyun Yoon, Seong Woo Choi, Jong Park, So Yeon Ryu, Mi Ah Han, Gwang Seok Kim, Sung Gil Kim, Hye Jong Oh, Cheol Won Choi
    Metabolic Syndrome and Related Disorders.2015; 13(8): 329.     CrossRef
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Relationship between Childhood and Adolescent Obesity and Remnant Lipoprotein.
Yong Jun Choi, Young Eun Jo, Yun Kyung Kim, Sang Mi Ahn, Seung Hee Baik, Sun Hye Jung, Hae Jin Kim, Yoon Sok Chung, Kwan Woo Lee, Dae Jung Kim
J Korean Endocr Soc. 2006;21(4):311-318.   Published online August 1, 2006
DOI: https://doi.org/10.3803/jkes.2006.21.4.311
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AbstractAbstract PDF
BACKGROUND
Remnant lipoproteins are the lipolytic degradation product of the triglyceride-rich lipoproteins produced by the liver (very-low-density lipoprotein cholesterol) and intestine (chylomicrons). Recent studies have demonstrated a correlation between remnant lipoproteins and cardiovascular risk. Our study assessed the relationship between obesity and remnant lipoproteins and evaluated the factors related to remnant lipoprotein in children and adolescents. METHODS: Body mass index (BMI), waist circumference, systolic and diastolic blood pressures, body fat mass, total abdominal fat, visceral and subcutaneous fat areas, total cholesterol, triglyceride (TG), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C) and remnant lipoprotein cholesterol (RLP-C) were measured in 135 children and adolescents (67 boys and 68 girls). Plasma RLP fractions were isolated using an immunoaffinity gel containing specific anti-apoB-100 and anti-apoA-I antibodies. The subjects were divided into three groups: the low (< 50 percentile), mid (50~84 percentile), and high (> or = 85 percentile) BMI groups. RESULTS: RLP-C was significantly correlated with age, sex, BMI, waist circumference, systolic and diastolic blood pressures, visceral and subcutaneous fat areas, visceral fat area to subcutaneous fat area ratio (VSR), total cholesterol, TG, HDL-C, apoB, and HOMA-IR. From a multivariate regression analysis, TG (beta = 0.928, P < 0.001) was found to be independently correlated with RLP-C. After excluding TG as an independent variable, a multivariate regression analysis revealed that the HOMA-IR (beta=0.231, P=0.007) and systolic blood pressure (beta=0.169, P=0.046) were independently associated with RLP-C. CONCLUSION: RLP-C was significantly higher in obese children and adolescents. TG, systolic blood pressure, and insulin resistance were related to remnant lipoproteins.

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  • Epidemiology of Childhood Obesity in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2016; 31(4): 510.     CrossRef
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Growth Hormone Treatment in Prader-Willi Syndrome.
Ji Eun Park, Seung Won Lee, Kyoung Eun Song, Hyoung Suk Lee, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Hyon Joo Kim
J Korean Endocr Soc. 2006;21(1):40-46.   Published online February 1, 2006
DOI: https://doi.org/10.3803/jkes.2006.21.1.40
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AbstractAbstract PDF
BACKGROUND
Prader-Willi syndrome (PWS) is a congenital disorder, which is clinically characterized by a short stature, muscular hypotonia, hypogonadism, mental retardation and hyperphagia, leading to early childhood obesity. Impaired growth hormone (GH) secretion, hypogonadism, and obesity are common in patients with PWS. The purpose of this study was to find the effects of growth hormone treatment in patients with PWS. METHODS: Six patients with PWS confirmed by a genetic study were recruited, and treated with growth hormone(Eutropin(R))(0.8-1 IU/kg/week) divided into five or seven day doses per week for six months. The heights and weights of the subjects were evaluated. GH status were evaluated using the serum insulin-like growth factor (IGF)-I level, the L-dopa test, and insulin-induced hypoglycemia tess. Glucose metabolism was evaluated using the random serum glucose and HbA1c levels. RESULTS: GH was found to be deficient in 2 out of 6 subjects by the insulin test, in 3 out of 6 by the IGF-I level, and in 5 out of in 5 by the L-dopa test. After six months of GH treatment, the height percentile was increased and weight percentile decreased. The serum glucose and HbA1c levels remained unchanged. CONCLUSION: Six months of GH treatment in patients with PWS improved the height and degree of obesity. This study has shown the beneficial effects of GH treatment for patients with PWS, and without significant side effects.

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  • Effects and adverse-effects of growth hormone therapy in children with Prader-Willi syndrome: A two year study
    Su Jin Kim, Joong Bum Cho, Min Jung Kwak, Eun Kyung Kwon, Kyung Hoon Paik, Dong-Kyu Jin
    Korean Journal of Pediatrics.2008; 51(7): 742.     CrossRef
  • Phenotype-genotype correlations and the efficacy of growth hormone treatment in Korean children with Prader-Willi syndrome
    Keun Wook Bae, Jung Min Ko, Han-Wook Yoo
    Korean Journal of Pediatrics.2008; 51(3): 315.     CrossRef
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A Case Report of von Hippel-Lindau Disease Manifested in a Monozygous Twin.
Jin Woo Kim, Sang Jo Choi, Yeon Kyeong Kim, Sang Mi Ahn, Kyoung Eun Song, Sun Hye Jung, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Il Jin Kim, Hio Chung Kang, Jae Gahb Park
J Korean Endocr Soc. 2005;20(4):395-400.   Published online August 1, 2005
DOI: https://doi.org/10.3803/jkes.2005.20.4.395
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AbstractAbstract PDF
Von Hippel-Lindau (VHL) disease is an autosomal dominant disease, which forms hypervascular tumors in multiple organs, such as hemangioblastomas in the retina and central nervous system, renal cell carcinomas, pheochromocytomas and cysts in various organs. Recent advances in gene testing have made it possible to screen family members for VHL disease. We experienced a 28 year-old male, who was diagnosed with bilateral pheochromocytomas through a family screening test when his elder monozygous twin brother was diagnosed with a pheochromocytoma. He received no treatment until December, 2004, when he visited the Emergency room due to a headache. A hemangioma of the cerebellum was seen in the brain MR study, leading to the diagnosis of type 2A VHL disease. An abdominal CT scan revealed no lesions of the pancreas or kidney. There was no evidence of a hemangioma in the retinal scan. The subsequent gene testing showed a germline mutation in exon 3 codon 167 of the VHL gene. The mother of the patient was revealed to have the same mutation of the VHL gene, but the elder brother of the patient did not.

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  • Germline mutation of Glu70Lys is highly frequent in Korean patients with von Hippel–Lindau (VHL) disease
    Sena Hwang, Cheol Ryong Ku, Ji In Lee, Kyu Yeon Hur, Myung-Shik Lee, Chul-Ho Lee, Kyo Yeon Koo, Jin-Sung Lee, Yumie Rhee
    Journal of Human Genetics.2014; 59(9): 488.     CrossRef
  • A Case of Type 1 von Hippel-Lindau (VHL) Disease associated with VHL Germline Mutation
    Jeong Hoon Seo, Jae Hong Yang, Pyoung Lak Choi, Yu Lee Kim, Young Sik Choi, Yo Han Park, Ji Ho Ko, Hio Chung Kang, IL Jin Kim, Jae Gahb Park
    Journal of Korean Endocrine Society.2006; 21(3): 239.     CrossRef
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A Case of Familial Medullary Thyroid Carcinoma with a E768D Mutation in RET Proto-Oncogene.
Yeon Kyeong Kim, Jin Woo Kim, Sang Mi Ahn, Kyoung Eun Song, Sun Hye Jung, Dae Jung Kim, Yoon Sok Chung, Kwan Woo Lee, Chul Ho Kim, Ji Hee Hong, Seon Yong Jeong, Hyon Ju Kim
J Korean Endocr Soc. 2005;20(4):375-380.   Published online August 1, 2005
DOI: https://doi.org/10.3803/jkes.2005.20.4.375
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AbstractAbstract PDF
A medullary thyroid carcinoma, a neoplasm of parafollicular C cell origin, occurs as a sporadic or hereditary disease. A hereditary medullary thyroid carcinoma is an autosomal dominantly inherited disease, which is composed of multiple endocrine neoplasia 2A and 2B, with a familial medullary thyroid carcinoma. Germline mutations of the RET gene are the underlying cause of the majority of hereditary medullary carcinomas. Here, the case of a 42 years-old man with a familial medullary thyroid carcinoma, confirmed by the detection of a RET proto-oncogene mutation at exon 13 on codon 768 from a GAG(Glu) to a GAT(Asp), is described. The patient underwent a total thyroidectomy and modified radical neck dissection. His sister was found to have the same mutant gene.

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  • A Case of Medullary Thyroid Carcinoma with de novo V804M RET Germline Mutation
    Young Sik Choi, Hye Jung Kwon, Bu Kyung Kim, Su Kyoung Kwon, Yo Han Park, Jeong Hoon Kim, Sang Bong Jung, Chang Hoon Lee, Seong Keun Lee, Shinya Uchino
    Journal of Korean Medical Science.2013; 28(1): 156.     CrossRef
  • A Family of Multiple Endocrine Neoplasia Type 2A with a C634R Mutation and a G691S Polymorphism in RET Proto-oncogene
    Seoung Wook Yun, Won Sang Yoo, Koo Hyun Hong, Bae Hwan Kim, Min Ho Kang, Young Kwang Choo, Hee Yoon Park, Do Hee Kim, Hyun-Kyung Chung, Myung-Chul Chang, Mi Seon Kwon, Hee Jin Kim
    Journal of Korean Endocrine Society.2007; 22(6): 453.     CrossRef
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The Effect of Treatment Modalities on Survival Rates of Patients with Anaplastic Thyroid Carcinoma.
Jae Myoung Choi, Mi Jeong Kim, Seung Won Lee, Kyoung Eun Song, Yoon Sok Chung, Kwan Woo Lee, Dae Jung Kim, Sung Hee Choi, So Hun Kim, Min Ho Cho, Yumie Rhee, Chul Woo Ahn, Sung Kil Lim, Kyung Rae Kim
J Korean Endocr Soc. 2005;20(2):127-133.   Published online April 1, 2005
DOI: https://doi.org/10.3803/jkes.2005.20.2.127
  • 1,707 View
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AbstractAbstract PDF
BACKGROUND
Anaplastic thyroid carcinoma represents 2% to 5% of all thyroid cancers and it is one of the most aggressive human cancers. Local extension at the time of diagnosis and distant metastases are almost always the rule. Its lethality is evidenced by a 5-year survival rate of 3.6% and a median survival time of 4 months. We retrospectively reviewed patients with this disease at 4 tertiary referral centers. METHODS: From 1990 to 2003, 19 cases(9 men and 10 women, mean age: 65.1+/-7.1 years) of anaplastic thyroid carcinoma were reviewed via the medical records. The overall survival rates according to the prognostic factors and the treatment modalities were analyzed. RESULTS: The presenting symptoms included rapidly enlarged neck masses in 16 patients, shortness of breath in 3 patients, hoarseness in 4 patients, dysphagia in 2 patients and chest wall pain in 1 patient. The mean diameter of tumor was 7.2cm. Local extension was seen in all of the cases that had undergone surgery. Distant metastases(lung 6, bone 2, abdominal carcinomatosis 2, brain 1 and mediastinum 1) were seen in 9 patients. Surgical treatment was performed in 10 patients. Radiotherapy was performed in 9 patients and chemotherapy was done in 5 patients; radiotherapy was performed alone in 2 patients, combination chemo-radiotherapy was performed in 3 patients, postoperative radiotherapy was performed in 2 patients and postoperative combination chemo-radiotherapy was performed in 2 patients. 4 patients were treated cons ervatively after the confirmative diagnosis. The overall median survival time was 123 days(range: 23~621 days); the median survival time was 129 days in the treatment group(n=15), and 27 days in the no treatment group (n=4), and significantly higher survival rates were observed for the treated patients(p=0.02). According to the treatment modalities, patients who underwent surgical treatment and postoperative radiotherapy and/or chemotherapy were observed to have significantly higher survival rates than patients in the radiotherapy and/or chemotherapy group(p=0.03), and also than those patients in the surgical treatment only group(p=0.04). CONCLUSION: We found that aggressive surgical treatment and postoperative radiotherapy and/or chemotherapy improved the survival rates of patients with anaplastic thyroid carcinoma even though local invasion and distant metastases was generally observed to occur

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  • Anaplastic Thyroid Carcinoma: Experience of a Single Institute
    Dongbin Ahn, Jin Ho Sohn
    Korean Journal of Otorhinolaryngology-Head and Neck Surgery.2012; 55(1): 37.     CrossRef
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Effects of Pamidronate Treatment on Osteogenesis Imperfecta.
Seung Won Lee, Hyon J Kim, Jae Hyun Cho, Hyoung Suk Lee, Youn Mu Jung, Dae Jung Kim, Kwan Woo Lee, Yoon Sok Chung
J Korean Endocr Soc. 2004;19(5):485-491.   Published online October 1, 2004
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AbstractAbstract PDF
BACKGROUND
Osteogenesis imperfecta (OI) is a congenital disorder of type I collagen, with variable phenotypes, due to increased bone fragility and low bone mass. Previous pharmacological treatments for OI have been attempted with calcitonin and growth hormone but with little beneficial effects. Recently, Glorieux reported the beneficial effects of bisphosphonates in OI. METHODS: In this study, the effects of pamidronate treatment were evaluated in 9 patients with OI. All patients received intravenous pamidronate infusions, which was dose adjusted according to the patients' age. The outcome measures included the biochemical bone markers; serum alkaline phosphatase, urine deoxy-pyridinoline, urine Ca/Cr ratio, and bone mineral density (BMD). RESULTS: Serum alkaline phosphatase, urine deoxypyridinoline, and urine Ca/Cr ratio were slightly decreased after 1 year of therapy, although these changes were not statistically significant. The BMDs of the lumbar spine and proximal femur were significantly increased after 1-year of pamidronate treatment. No fractures were reported during the 1 year treatment periods. CONCLUSION: Pamidronate treatment had an effect on the BMD in osteogenesis imperfecta, probably due to decreasing bone resorption
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Clinical Characteristics of 10 Cases of Korean Osteogenesis Imperfecta.
Hyoung Suk Lee, Hyon J Kim, Jae Hyun Cho, Seong Won Lee, Hyun A Kim, Joon Hyuck Choi, Young Jun Song, Dae Jung Kim, Kwan Woo Lee, Yoon Sok Chung
J Korean Endocr Soc. 2003;18(5):496-503.   Published online October 1, 2003
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AbstractAbstract PDF
Osteogenesis Imperfecta (OI) is a relatively rare hereditary disease, which is characterized by multiple bone fractures and spine scoliosis, due to the fragility of bone, and is often associated with blue sclerae, deafness and dentinogenesis imperfecta. Four types of OI can be distinguished, according to the clinical findings. Although mutations affecting type I collagen are responsible for the disease in most patients, the mechanism by which the genetic defects cause abnormal bone development remains to be fully understood. Here, the clinical characteristics of 10 OI patient cases are reported, with a review of the literature. All the cases, including 4 type I, 4 type III and 2 type IV, inherited OI as an autosomal dominant trait. All the subjects had multiple old fractures and decreased bone densities. In this study, the biochemical marker of bone formation, serum alkaline phosphatase, was found to be increased only in the pediatric OI patients, while the biochemical marker of bone resorption, urinary deoxypyridinoline, was increased in all cases. The mobility score was found to correlate with the severity of the type on diagnosis.
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Relationship with Serum Adiponectin Concentrations and Obesity in Korean Children.
Hyoun Ah Kim, Hyoung Suk Lee, Chul Sik Kim, Chul Woo Ahn, Yoon Sok Chung, Kwan Woo Lee, Kap Bum Huh, Dae Jung Kim
J Korean Endocr Soc. 2003;18(5):473-480.   Published online October 1, 2003
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AbstractAbstract PDF
BACKGROUND
Adiponectin is an adipocytokine that is highly specific to adipose tissue. In contrast to other adipocytokine, the adiponectin levels are decreased in obesity and/or type 2 diabetes. There are few studies regarding the correlation between the adiponectin concentration and obesity in children. Thus, whether the serum adiponectin concentrations are associated with adiposity in children was investigated. METHODS: One hundred and sixty four subjects were selected from the participants in an ongoing study on the relationship between birth weight and insulin resistance in children. The current weights, heights, body fat percentages, waist circumferences, blood pressures, lipid profiles and insulin resistance, by the HOMA method, were measured in all the subjects. The serum adiponectin concentrations were determined by a validated sandwich ELISA, using a human adiponectin-specific antibody. RESULTS: The serum adiponectin concentration was negatively correlated with the body mass index, waist circumference, systolic blood pressure, insulin resistance by HOMA and serum triglycerides, and positively correlated with the serum HDL cholesterol level. The serum adiponectin concentrations in the boys were significantly lower than in the girls. In a multiple regression analysis, the serum adiponectin concentration was strongly associated with waist circumference and gender. CONCLUSION: It is concluded that there was an inverse relationship between the serum adiponectin concentration and abdominal adiposity in children. However, further studies on independent gender differences on adiponectin are needed.
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A Case of Adrenal Cortical Carcinoma with Liver Metastasis.
Hyun Joo Lee, Myung Soo Kim, Hyo Kyoung Park, Dae Jung Kim, Yu Mie Rhee, Chul Woo Ahn, Jae Hyun Nam, Bong Soo Cha, Young Duk Song, Sang Won Han, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee, Kap Bum Huh
J Korean Endocr Soc. 2003;18(2):232-238.   Published online April 1, 2003
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AbstractAbstract PDF
An adrenal cortical carcinoma is a rare malignancy associated with poor prognosis. On diagnosis, most patients present with large tumor masses, which are often detected at an advanced stage. The most effective treatment is a complete resection, which is the only curative treatment for adrenal cortical carcinomas. The most important prognostic factor is a successful resection of the primary tumor, as long as it is low-grade and has not spread to distant sites. However, with advanced adrenal cortical carcinomas, with distant metastasis, there is no strict effective treatment program, and the prognosis is poor. The case of a 50-year-old female patient, presenting with an adrenal cortical carcinoma and Cushing's syndrome, who had a long-term survival of 78 months, is reported. The mass was completely resected on diagnosis, but 16 months later liver metastasis was discovered. She had received chemotherapy, with cisplatin, etoposide and bleomycin, for the liver metastasis for a period of 15 months, but with no response, furthermore, the size had increased after 10 months. Afterward, she received her 10th session of intrahepatic artery cisplatin chemotherapy and her 3rd hepatic artery embolization. Although the patient had a large degree of liver metastasis, this was tolerated. The tumor mass is presently not aggravated, and she still survives after 78 months.
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Association between Serum Leptin Concentration and Bone Mineral Density in Healthy Korean Women.
Yumie Rhee, Dae Jung Kim, Se Hwa Kim, Chul Woo Ahn, Bong Soo Cha, Kyung Rae Kim, Hyun Chul Lee, Sung Kil Lim
J Korean Endocr Soc. 2003;18(2):177-183.   Published online April 1, 2003
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AbstractAbstract PDF
BACKGROUND
Leptin is known to affect bone metabolism both centrally and peripherally. This study was performed to investigate the relationship between leptin and bone mineral density(BMD) in healthy premenopausal and postmenopausal Korean women. METHODS: 140 women were recruited for a routine health check-up. Anthro-pometric and biochemical data were checked as usual. BMDs were measured by dual x-ray absorptiometry of the spine and femur in 67 premenopausal women and 73 postmenopausal women, in addition to their serum leptin levels. RESULTS: Serum leptin level showed no correlation with BMD in premenopausal women, but there was a positive correlation betwen serum leptin and spinal BMD in postmenopausal women(r=0.468, p<0.001). After the correcting for age, body mass index, and duration of menopause, the serum leptin level and BMD still showed a positive correlation(r=0.217, p=0.088) although weak. The women in the lowest quartile of serum leptin level showed significantly lower lumbar and femoral neck BMD. CONCLUSION: Leptin level seems to have a weak relationship with BMD showing different features in premenopausal and postmenopausal women.
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A Case of Papillary Thyroid Carcinoma Combined with Multiple Endocrine Neoplasia Type 2A.
Ja kyung Kim, Hae Won Chung, Hye Sun Seo, Dae Jung Kim, Sang Su Chung, Young Duk Song, Kuk Hwan Kwon, Yoon Mi Jin, Mi Kyung Lee, Sung Kil Lim, Il Jin Kim, Hio Chung Kang, Jae Hyun Park, Jae Gahb Park
J Korean Endocr Soc. 2002;17(5):730-738.   Published online October 1, 2002
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AbstractAbstract PDF
Multiple endocrine neoplasia (MEN) type 2A is a syndrome of medullary thyroid carcinomas, pheochromocytomas and parathyroid hyperplasia. The simultaneous occurrence of medullary, and papillary, thyroid carcinomas is rare because they are derived from, apparently, different germ layers, the former from the neuroectoderm and the latter from the endoderm. We report a case of a papillary thyroid carcinoma, combined with a medullary thyroid carcinoma, in a patient with MEN type 2A. Molecular genetic studies for screening a RET proto-oncogene mutation revealed a point mutation in codon 631 on chromosome 10, which is reported as highly uncommon in MEN type 2A.
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A Case of Bilateral Macronodular Adrenal Hyperplasia with Cushing's Syndrome Treated by Unilateral Adrenalectomy.
Si Hoon Lee, Kwang Eun Lee, Eun Seok Kang, Sang Su Chung, Dae Jung Kim, Yun Mi Jin, Bong Soo Cha, Sung Kil Lim, Hyun Chul Lee, Kap Bum Huh
J Korean Endocr Soc. 2002;17(4):596-602.   Published online August 1, 2002
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AbstractAbstract PDF
In order to differentiate the causes of Cushing's syndrome; whether it is pituitary or adrenal-dependent, a high dose dexamethasone suppression test is usually performed but this does not always correlated with the imaging diagnosis. We report a case of bilateral macronodular adrenal hyperplasia, which was thought to be independent to adrenocorticotrophin (ACTH) stimulation. At first we thought it was pituitary-dependent Cushing's syndrome, due to its suppression by high dose dexamethasone. However, we found no abnormal findings on the brain sella magnetic resonance image (MRI). A significant finding, however, we found bilateral adrenal masses on the abdominal computed tomography (CT). We performed percutaneous selective adrenal venous sampling (PSAVS), and confirmed hypercortisolism of the left adrenal mass only. Therefore, we decided to remove the left adrenal gland to preserve the residual function of the right adrenal gland. After the left adrenalectomy, the patient became normotensive, and their buffalo hump disappeared, and her 24 hour urinary free cortisol level returned to normal.
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A Case of Metastatic Pulmonary Calcification in Primary Hyperparathyroidism.
Kwang Eun Lee, Hae Jin Kim, Si Hoon Lee, Sang Woon Bae, Eun Seok Kang, Hae Won Chung, Hye Sun Seo, Dae Jung Kim, Sang Soo Chung, Sun Jung Kim, Young Duk Song, Sung Kil Lim
J Korean Endocr Soc. 2002;17(4):583-588.   Published online August 1, 2002
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AbstractAbstract PDF
Metastatic calcification is the deposition of calcium, in previously normal tissue, as a result of elevated plasma calcium and phosphorus product levels and has been reported in patients with parathyroid adenoma, parathyroid carcinoma, hyperparathyroidism due to chronic renal failure, vitamin D intoxication, and osteolytic bone tumors, such as multiple myelomas. The lungs are the most common site of metastatic calcification. We have experienced metastatic pulmonary calcification in a case of primary hyperparathyroidism. A 55-year old woman was admitted due to general weakness. From the laboratory evaluation, hypercalcemia and excess production of parathyroid hormone (PTH) were noted. technetium-99m-labelled sestamibi scintigraphy indicated an intense uptake in the lower pole area of the left thyroid gland, suggestive of a parathyroid adenoma. A technetium-99m phosphate (99mTc-MDP) bone scan showed increased uptakes in both lungs. A parathyroid lobectomy was performed, and primary hyperparathyroidism, due to a parathyroid adenoma, was finally diagnosed. A follow-up 99mTc-MDP bone scan showed the disappearance of the metastatic pulmonary calcification, with the clinical symptoms and biochemical parameters normalizing after 6 months.
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A Case of Klinefelter's Syndrome with Rathke's Cleft Cyst.
Hyun Joo Lee, Hyo Kyoung Park, Dae Jung Kim, Yu Mie Rhee, Chul Woo Ahn, Sang Soo Jung, Jae Hyun Nam, Bong Soo Cha, Young Duk Song, Sung Kil Lim, Kyung Rae Kim, Yong Koo Park, Hyun Chul Lee, Kap Bum Huh
J Korean Endocr Soc. 2002;17(4):564-571.   Published online August 1, 2002
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Klinefelter's syndrome is one of the most common forms of primary hypogonadism presenting with gynecomastia, azospermia and increased follicle-stimulating hormone. It is well known that this syndrome has an increased incidence of neoplasia, especially breast cancer and extragonadal germ cell tumors. However, it is rarely associated with an intracranial tumor of maldevelopmental origin, especially in the suprasellar area. We report, for the first time, a case of Klinefelter's syndrome, with a Rathke's cleft cyst is the patient was a 32-year-old male who was known to have an incidentaloma form brain computed tomography, which was clinically diagnosed as a suprasellar tumor. After operating, the suprasellar mass was confirmed as a Rathke's cleft cyst, and his hormonal abnormality, an elevated level of follicle-stimulating hormone, was not normalized. Therefore, we performed chromosomal analysis, and diagnosed Klinefelter's syndrome with the XXY karyotype.
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Effects of Tibolone and Active Vitamin D Combined Treatment on Bone Mineral Density in Korean Postmenopausal Women.
Se Hwa Kim, Yu Mie Rhee, Soo Kyung Kim, Dae Jung Kim, Hyeung Jin Kim, Chul Woo Ahn, Bong Soo Cha, Young Duk Song, Kyung Rae Kim, Hyun Chul Lee, Gap Bum Huh, Sung Kil Lim
J Korean Endocr Soc. 2002;17(4):535-543.   Published online August 1, 2002
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BACKGROUND
Tibolone is a novel synthetic compound with tissue-specific effects in bone, breast tissue and the endometrium. Tibolone, and active vitamin D, effectively prevent bone loss, and the maintain skeletal integrity of postmenopausal women. The aim of the present study was to examine the effect of tibolone, and active vitamin D (1-hydroxyvitamin D3), therapies given alone, or in combination, against bone loss in postmenopausal women. METHODS: One hundred and three postmenopausal women were treated with tibolone (n=40), alphacalcidol (n=27) or both drugs (n=36) for 12 months. All subjects took supplemental calcium carbonate (500 mg daily). The bone mineral densities (BMD) of the lumbar spine and proximal femur were measured by dual-energy x-ray absorptiometry (DXA) at the baseline and after 12 months. RESULTS: Tibolone therapy produced significant increase of 4.1 and 1.8% in the BMD at the lumbar spine (p<0.001) and femoral neck (p=0.009), respectively. The combination of tibolone and active vitamin D increased the BMD by 8.0 and 4.4% (p<0.001) at the spine and femoral neck, respectively. The differences in the change of BMD from the baseline at the lumbar spine was significant (p=0.038) in the combination treatment group compared that in the tibolone alone group. CONCLUSION: Tibolone alone, and in combination with active vitamin D, effectively increased the BMD at all skeletal sites in postmenopausal women. Combination treatment for osteoporosis is emerging as a promising modality in Korean postmenopausal women.
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Endocrinol Metab : Endocrinology and Metabolism