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Joo Young Nam  (Nam JY) 5 Articles
Diabetes, Obesity and Metabolism
Non-Laboratory-Based Simple Screening Model for Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Developed Using Multi-Center Cohorts
Jiwon Kim, Minyoung Lee, Soo Yeon Kim, Ji-Hye Kim, Ji Sun Nam, Sung Wan Chun, Se Eun Park, Kwang Joon Kim, Yong-ho Lee, Joo Young Nam, Eun Seok Kang
Endocrinol Metab. 2021;36(4):823-834.   Published online August 27, 2021
DOI: https://doi.org/10.3803/EnM.2021.1074
  • 4,434 View
  • 137 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide. Type 2 diabetes mellitus (T2DM) is a risk factor that accelerates NAFLD progression, leading to fibrosis and cirrhosis. Thus, here we aimed to develop a simple model to predict the presence of NAFLD based on clinical parameters of patients with T2DM.
Methods
A total of 698 patients with T2DM who visited five medical centers were included. NAFLD was evaluated using transient elastography. Univariate logistic regression analyses were performed to identify potential contributors to NAFLD, followed by multivariable logistic regression analyses to create the final prediction model for NAFLD.
Results
Two NAFLD prediction models were developed, with and without serum biomarker use. The non-laboratory model comprised six variables: age, sex, waist circumference, body mass index (BMI), dyslipidemia, and smoking status. For a cutoff value of ≥60, the prediction accuracy was 0.780 (95% confidence interval [CI], 0.743 to 0.817). The second comprehensive model showed an improved discrimination ability of up to 0.815 (95% CI, 0.782 to 0.847) and comprised seven variables: age, sex, waist circumference, BMI, glycated hemoglobin, triglyceride, and alanine aminotransferase to aspartate aminotransferase ratio. Our non-laboratory model showed non-inferiority in the prediction of NAFLD versus previously established models, including serum parameters.
Conclusion
The new models are simple and user-friendly screening methods that can identify individuals with T2DM who are at high-risk for NAFLD. Additional studies are warranted to validate these new models as useful predictive tools for NAFLD in clinical practice.

Citations

Citations to this article as recorded by  
  • Non-Alcoholic Fatty Liver Disease or Type 2 Diabetes Mellitus—The Chicken or the Egg Dilemma
    Marcin Kosmalski, Agnieszka Śliwińska, Józef Drzewoski
    Biomedicines.2023; 11(4): 1097.     CrossRef
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Clinical Study
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
Endocrinol Metab. 2019;34(3):275-281.   Published online September 26, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.3.275
  • 7,274 View
  • 97 Download
  • 8 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Hyperglycemic crisis is a metabolic emergency associated with diabetes mellitus. However, accurate epidemiologic information on cases of hyperglycemic crisis in Korea remains scarce. We evaluated trends in hyperglycemic crisis hospitalizations and in- and out-of-hospital mortality in Korea. We also predicted future trends.

Methods

We extracted claims data with hyperglycemic crisis as the principal diagnosis from the National Health Insurance Service database in Korea from January 2004 to December 2013. We investigated the numbers of claims with hyperglycemic crisis and identified trends in hyperglycemic crisis based on those claims data. We predicted future trends by statistical estimation.

Results

The total annual number of claims of hyperglycemic crisis increased from 2,674 in 2004 to 5,540 in 2013. Statistical analysis revealed an increasing trend in hyperglycemic crisis hospitalizations (P for trend <0.01). In contrast, the hospitalization rate per 1,000 diabetes cases showed a decreasing trend (P for trend <0.01) during this period. The mortality rate per 1,000 diabetes cases also showed a decreasing trend (P for trend <0.0001). However, no distinct linear trend in the case-related fatality rate at <60 days over the last decade was observed. The predicted number of annual claims of hyperglycemic crisis will increase by 2030.

Conclusion

The number of hyperglycemic crisis hospitalizations in Korea increased in the last decade, although the hospitalization rate per 1,000 diabetes cases and mortality rate decreased. Also, the predicted number of annual claims will increase in the future. Thus, it is necessary to establish long-term healthcare policies to prevent hyperglycemic crisis.

Citations

Citations to this article as recorded by  
  • Enhancing outcome prediction by applying the 2019 WHO DM classification to adults with hyperglycemic crises: a single-center cohort in Thailand
    Chatchon Kaewkrasaesin, Weerapat Kositanurit, Phawinpon Chotwanvirat, Nitchakarn Laichuthai
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; : 103012.     CrossRef
  • Obesity and 30-day case fatality after hyperglycemic crisis hospitalizations in Korea: a national cohort study
    Hojun Yoon, Hyun Ho Choi, Giwoong Choi, Sun Ok Song, Kyoung Hwa Ha, Dae Jung Kim
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(3): 74.     CrossRef
  • Interpreting global trends in type 2 diabetes complications and mortality
    Mohammed K. Ali, Jonathan Pearson-Stuttard, Elizabeth Selvin, Edward W. Gregg
    Diabetologia.2022; 65(1): 3.     CrossRef
  • Comparison of the clinical characteristics and outcomes of pediatric patients with and without diabetic ketoacidosis at the time of type 1 diabetes diagnosis
    Young-Jun Seo, Chang Dae Kum, Jung Gi Rho, Young Suk Shim, Hae Sang Lee, Jin Soon Hwang
    Annals of Pediatric Endocrinology & Metabolism.2022; 27(2): 126.     CrossRef
  • Clinical characteristics and outcomes of care in patients hospitalized with diabetic ketoacidosis
    Mohsen S. Eledrisi, Haifaa Alkabbani, Malk Aboawon, Aya Ali, Imad Alabdulrazzak, Maab Elhaj, Ashraf Ahmed, Hazim Alqahwachi, Joanne Daghfal, Salem A. Beshyah, Rayaz A. Malik
    Diabetes Research and Clinical Practice.2022; 192: 110041.     CrossRef
  • Hyperglycemic Crisis Characteristics and Outcome of Care in Adult Patients without and with a History of Diabetes in Tigrai, Ethiopia: Comparative Study
    Getachew Gebremedhin, Fikre Enqueselassie, Helen Yifter, Negussie Deyessa
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 547.     CrossRef
  • Increased Incidence of Pediatric Diabetic Ketoacidosis After COVID-19: A Two-Center Retrospective Study in Korea
    Min Jeong Han, Jun Ho Heo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 783.     CrossRef
  • Acute Hyperglycemic Crises with Coronavirus Disease-19: Case Reports
    Na-young Kim, Eunyeong Ha, Jun Sung Moon, Yong-Hoon Lee, Eun Young Choi
    Diabetes & Metabolism Journal.2020; 44(2): 349.     CrossRef
  • Letter: 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.)
    Jang Won Son
    Endocrinology and Metabolism.2019; 34(4): 422.     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
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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
  • 4,705 View
  • 49 Download
  • 36 Web of Science
  • 34 Crossref
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; 15(4): 402.     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
    Xinge Zhang, Hongjiang Wu, Baoqi Fan, Mai Shi, Eric S. H. Lau, Aimin Yang, Elaine Chow, Alice P. S. Kong, Juliana C. N. Chan, Ronald C. W. Ma, Andrea O. Y. Luk, Claudia Langenberg
    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
  • Association between Age-Related Macular Degeneration and the Risk of Diabetes Mellitus: A Nationwide Cohort Study
    Wonyoung Jung, Je Moon Yoon, Kyungdo Han, Bongseong Kim, Sungsoon Hwang, Dong Hui Lim, Dong Wook Shin
    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
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    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
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    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
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    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
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    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
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    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
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    Medicine.2019; 98(51): e18354.     CrossRef
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    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
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    Hyunju Yoo, Inwhee Park, Dae Jung Kim, Sukhyang Lee
    International Journal of Clinical Pharmacy.2019; 41(2): 563.     CrossRef
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    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
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    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
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    Epidemiology and Health.2017; 39: e2017016.     CrossRef
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    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
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    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
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    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
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A Case of Hepatomegaly due to Diabetic Glycogenosis Reversed by Glycemic Control.
Jina Park, Dae Hoon Song, Jong Suk Park, Joo Young Nam, Chul Sik Kim, Dol Mi Kim, Chul Woo Ahn, Bong Soo Cha, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee, Hae Ryoung Kim, Chan Il Park
J Korean Endocr Soc. 2004;19(2):223-228.   Published online April 1, 2004
  • 1,076 View
  • 24 Download
AbstractAbstract PDF
Diabetes mellitus is well known to be associated with various structural and functional liver abnormalities. If diabetic patients are accompanied by hepatomegaly or abnormal findings from a liver function test, the most common pathological findings are steatosis and glycogenosis. The steatosis is characterized by deposition of macrovesicular fat droplets in the hepatocytes, which is common in obese, type 2 diabetes mellitus. If macrovesicular steatosis is combined with mixed inflammatory infiltrate, without evidence of alcoholic hepatitis, the case could be diagnosed as nonalcoholic steatohepatitis (NASH). NASH has the possibility of progressing to cirrhosis. Secondary glycogenosis is common in uncontrolled type 1 diabetes mellitus, and is completely reversible. A 22-year-old male, with uncontrolled type 1 diabetes mellitus, was admitted with anorexia, nausea and right upper quadrant pain. Hepatomegaly and elevated aminotransferases were noted. He was diagnosed as diabetic glycogenosis using computed tomogram and liver biopsy. The hepato megaly and liver function test abnormalities were markedly improved with glycemic control
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A Case of Riedel's Thyroiditis in a Patient with a History of Subacute Thyroiditis.
Chul Sik Kim, Sung Ju Lee, Jong Suk Park, Joo Young Nam, Dol Mi Kim, Chul Woo Ahn, Bong Soo Cha, Sung Kil Lim, Kyung Rae Kim, Hyun Chul Lee
J Korean Endocr Soc. 2003;18(4):414-419.   Published online August 1, 2003
  • 1,163 View
  • 21 Download
AbstractAbstract PDF
Riedel's thyroiditis is a rare form of chronic thyroiditis, characterized by a fibroinflammatory process which partially destroys the thyroid, often involving surrounding tissues. The relationship of Riedel's thyroiditis to other forms of thyroiditis is not clear. A case of Riedel's thyroiditis in a 51-year-old female patient, admitted with a previous diagnosis of subacute thyroiditis, is reported. She was first diagnosed with subacute thyroiditis based on clinical manifestation and radiologic and laboratory results. She was treated with glucocorticoid for 8 weeks. The follow-up lasted for 12 months. However, three years later she underwent a thyroidectomy operation due to an enlargement of the thyroid nodule and suspicion of malignancy. Histopathologic examination confirmed that she had Riedel's Thyroiditis. Until now, few case of Riedel's thyroiditis in patients with a history of subacute thyroiditis have been reported in the literature. Although the etiology of Riedel's thyroiditis is unknown, it may develop in the course of subacute thyroiditis.
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