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Eon Ju Jeon  (Jeon EJ) 6 Articles
Covid-19
The Clinical Characteristics and Outcomes of Patients with Moderate-to-Severe Coronavirus Disease 2019 Infection and Diabetes in Daegu, South Korea
Mi Kyung Kim, Jae-Han Jeon, Sung-Woo Kim, Jun Sung Moon, Nan Hee Cho, Eugene Han, Ji Hong You, Ji Yeon Lee, Miri Hyun, Jae Seok Park, Yong Shik Kwon, Yeon-Kyung Choi, Ki Tae Kwon, Shin Yup Lee, Eon Ju Jeon, Jin-Woo Kim, Hyo-Lim Hong, Hyun Hee Kwon, Chi Young Jung, Yin Young Lee, Eunyeoung Ha, Seung Min Chung, Jian Hur, June Hong Ahn, Na-young Kim, Shin-Woo Kim, Hyun Ha Chang, Yong Hoon Lee, Jaehee Lee, Keun-Gyu Park, Hyun Ah Kim, Ji-Hyun Lee
Diabetes Metab J. 2020;44(4):602-613.   Published online August 12, 2020
DOI: https://doi.org/10.4093/dmj.2020.0146
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  • 67 Web of Science
  • 74 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Coronavirus disease 2019 (COVID-19) is a global pandemic that had affected more than eight million people worldwide by June 2020. Given the importance of the presence of diabetes mellitus (DM) for host immunity, we retrospectively evaluated the clinical characteristics and outcomes of moderate-to-severe COVID-19 in patients with diabetes.

Methods

We conducted a multi-center observational study of 1,082 adult inpatients (aged ≥18 years) who were admitted to one of five university hospitals in Daegu because of the severity of their COVID-19-related disease. The demographic, laboratory, and radiologic findings, and the mortality, prevalence of severe disease, and duration of quarantine were compared between patients with and without DM. In addition, 1:1 propensity score (PS)-matching was conducted with the DM group.

Results

Compared with the non-DM group (n=847), patients with DM (n=235) were older, exhibited higher mortality, and required more intensive care. Even after PS-matching, patients with DM exhibited more severe disease, and DM remained a prognostic factor for higher mortality (hazard ratio, 2.40; 95% confidence interval, 1.38 to 4.15). Subgroup analysis revealed that the presence of DM was associated with higher mortality, especially in older people (≥70 years old). Prior use of a dipeptidyl peptidase-4 inhibitor or a renin-angiotensin system inhibitor did not affect mortality or the clinical severity of the disease.

Conclusion

DM is a significant risk factor for COVID-19 severity and mortality. Our findings imply that COVID-19 patients with DM, especially if elderly, require special attention and prompt intensive care.

Citations

Citations to this article as recorded by  
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Epidemiology
Low-Normal Free Thyroxine Levels in Euthyroid Male Are Associated with Prediabetes
Sung Woo Kim, Jae-Han Jeon, Jun Sung Moon, Eon Ju Jeon, Mi-Kyung Kim, In-Kyu Lee, Jung Beom Seo, Keun-Gyu Park
Diabetes Metab J. 2019;43(5):718-726.   Published online March 19, 2019
DOI: https://doi.org/10.4093/dmj.2018.0222
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AbstractAbstract PDFSupplementary MaterialPubReader   

Abnormal thyroid function is associated with impaired glucose homeostasis. This study aimed to determine whether free thyroxine (FT4) influences the prevalence of prediabetes in euthyroid subjects using a cross-sectional survey derived from the Korea National Health and Nutrition Examination Survey, conducted between 2013 and 2015. We studied 2,399 male participants of >20 years of age who were euthyroid and non-diabetic. Prediabetic participants had lower FT4 concentrations than those without prediabetes, but their thyrotropin concentrations were similar. We stratified the population into tertiles according to FT4 concentration. After adjusting for multiple confounding factors, glycosylated hemoglobin (HbA1c) levels significantly decreased with increasing FT4 tertile, whereas fasting plasma glucose (FPG) levels were not associated with FT4 tertiles (HbA1c, P<0.01 in T3 vs. T1; FPG, P=0.489 in T3 vs. T1). The prevalence of prediabetes was significantly higher in T1 (odds ratio, 1.426; 95% confidence interval, 1.126 to 1.806; P<0.01) than in T3. In conclusion, subjects with low-normal serum FT4 had high HbA1c and were more likely to have prediabetes. These results suggest that low FT4 concentration is a risk factor for prediabetes in male, even when thyroid function is within the normal range.

Clinical Care/Education
Patient Understanding of Hypoglycemia in Tertiary Referral Centers
Nan Hee Cho, Nam Kyung Kim, Eugene Han, Jun Hwa Hong, Eon Ju Jeon, Jun Sung Moon, Mi Hae Seo, Ji Eun Lee, Hyun-Ae Seo, Mi-Kyung Kim, Hye Soon Kim
Diabetes Metab J. 2018;42(1):43-52.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.43
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AbstractAbstract PDFPubReader   
Background

Hypoglycemia is an important complication in the treatment of patients with diabetes. We surveyed the insight by patients with diabetes into hypoglycemia, their hypoglycemia avoidance behavior, and their level of worry regarding hypoglycemia.

Methods

A survey of patients with diabetes, who had visited seven tertiary referral centers in Daegu or Gyeongsangbuk-do, Korea, between June 2014 and June 2015, was conducted. The survey contained questions about personal history, symptoms, educational experience, self-management, and attitudes about hypoglycemia.

Results

Of 758 participants, 471 (62.1%) had experienced hypoglycemia, and 250 (32.9%) had experienced hypoglycemia at least once in the month immediately preceding the study. Two hundred and forty-two (31.8%) of the participants had received hypoglycemia education at least once, but only 148 (19.4%) knew the exact definition of hypoglycemia. Hypoglycemic symptoms identified by the participants were dizziness (55.0%), sweating (53.8%), and tremor (40.8%). They mostly chose candy (62.1%), chocolate (37.7%), or juice (36.8%) as food for recovering hypoglycemia. Participants who had experienced hypoglycemia had longer duration of diabetes and a higher proportion of insulin usage. The mean scores for hypoglycemia avoidance behavior and worry about hypoglycemia were 21.2±10.71 and 23.38±13.19, respectively. These scores tended to be higher for participants with higher than 8% of glycosylated hemoglobin, insulin use, and experience of emergency room visits.

Conclusion

Many patients had experienced hypoglycemia and worried about it. We recommend identifying patients that are anxious about hypoglycemia and educating them about what to do when they develop hypoglycemic symptoms, especially those who have a high risk of hypoglycemia.

Citations

Citations to this article as recorded by  
  • Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
    Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Severe hypoglycemia and the risk of end stage renal disease in type 2 diabetes
    Jae-Seung Yun, Yong-Moon Park, Kyungdo Han, Hyung-Wook Kim, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Scientific Reports.2021;[Epub]     CrossRef
  • Response: Patient Understanding of Hypoglycemia in Tertiary Referral Centers (Diabetes Metab J 2018;42:43-52)
    Nan Hee Cho, Hye Soon Kim
    Diabetes & Metabolism Journal.2018; 42(2): 175.     CrossRef
  • Letter: Patient Understanding of Hypoglycemia in Tertiary Referral Centers (Diabetes Metab J 2018;42:43-52)
    Jae-Han Jeon
    Diabetes & Metabolism Journal.2018; 42(2): 173.     CrossRef
Response: Adipokines and Insulin Resistance According to Characteristics of Pregnant Women with Gestational Diabetes Mellitus (Diabetes Metab J 2017;41:457-65)
Eon Ju Jeon, Ji Hyun Lee
Diabetes Metab J. 2018;42(1):90-91.   Published online February 23, 2018
DOI: https://doi.org/10.4093/dmj.2018.42.1.90
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  • 31 Download
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Citations

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  • Effects of miR-152-Mediated Targeting of SOCS3 on Hepatic Insulin Resistance in Gestational Diabetes Mellitus Mice
    Yuanchun Li, Li Kang, Juanjuan Huang, Juan Zhang, Chunhua Liu, Wenjuan Shen
    The American Journal of the Medical Sciences.2021; 361(3): 365.     CrossRef
Clinical Diabetes & Therapeutics
Adipokines and Insulin Resistance According to Characteristics of Pregnant Women with Gestational Diabetes Mellitus
Eon Ju Jeon, Seong Yeon Hong, Ji Hyun Lee
Diabetes Metab J. 2017;41(6):457-465.   Published online November 15, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.6.457
  • 3,877 View
  • 40 Download
  • 13 Web of Science
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AbstractAbstract PDFPubReader   
Background

The aim of this study was to evaluate adipokines concentration and insulin resistance according to maternal age or obesity at pregnancy and weight change at diagnosed gestational diabetes mellitus (GDM) in pregnant women with GDM.

Methods

This study included 57 pregnant women who were diagnosed with GDM at 24 to 28 weeks of gestation. The subjects were classified into two or three groups according to pre-pregnancy body mass index (BMI, <25 kg/m2 vs. ≥25 kg/m2), maternal age at pregnancy (<35 years old vs. ≥35 years old), and weight change during pregnancy at screening for GDM (weight change below, within, and in excess of the recommended range). They were respectively compared in each group.

Results

Leptin, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA2-%B were increased in the group with pre-pregnancy BMI ≥25 kg/m2. Leptin and HOMA-IR were positively correlated with BMI both before pregnancy and at screening for GDM. There were no significant correlations between HOMA-IR and adipokines. HOMA-IR showed positive correlation with HOMA2-%B and negative correlation with HOMA2-%S.

Conclusion

Leptin and HOMA-IR at diagnosed GDM were increased in the GDM patients with obesity before pregnancy. They were positively correlated with BMI both before pregnancy and at screening for GDM. The effect of maternal age at pregnancy and weight change during pregnancy at GDM screening on adipokines and insulin resistance might be less pronounced than the effect of maternal obesity.

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    Colm J. McElwain, Andrea Musumeci, Samprikta Manna, Fergus P. McCarthy, Cathal M. McCarthy
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  • The therapeutic effects of attending a one-day outpatient service on patients with gestational diabetes and different pre-pregnancy body mass indices
    Yan-Min Cao, Min Ma, Wei Wang, Na-Na Cai
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices
    Tuan Dinh Le, Tien Minh Bui, Trinh Hien Vu, Nga Phi Thi Nguyen, Hoa Thanh Thi Tran, Son Tien Nguyen, Lan Ho Thi Nguyen, Manh Van Ngo, Hoang Huy Duong, Binh Thanh Vu, Hoa Trung Dinh, Binh Nhu Do, Duc-Cuong Le, Hien Thi Nguyen, Kien Trung Nguyen
    Clinical Medicine Insights: Endocrinology and Diabetes.2022; 15: 117955142210984.     CrossRef
  • New Insights into Adipokines in Gestational Diabetes Mellitus
    Jorge Valencia-Ortega, Rebeca González-Reynoso, Edgar G. Ramos-Martínez, Aldo Ferreira-Hermosillo, María I. Peña-Cano, Enrique Morales-Ávila, Renata Saucedo
    International Journal of Molecular Sciences.2022; 23(11): 6279.     CrossRef
  • The combination from ethanol extract of moringa leaves (Moringa oleifera L.) and ethanol extract of papaya leaves (Carica papaya L.) slows the tumor growth in sprague dawley rats induced 7,12-dimethylbenz(a)anthracene
    Mutmainah Arif, Ika Yustisia, Padlianah
    Medicina Clínica Práctica.2020; 3: 100100.     CrossRef
  • Insulin resistance (IR) in pregnant women at the Mother and Child Hospital Khadijah, Makassar, Indonesia
    Hasbobi Tabrang, Elizabet C. Jusuf, Himawan Sanusi
    Enfermería Clínica.2020; 30: 84.     CrossRef
  • Vitamin D Deficiency at Mid-Pregnancy Is Associated with a Higher Risk of Postpartum Glucose Intolerance in Women with Gestational Diabetes Mellitus
    Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
    Endocrinology and Metabolism.2020; 35(1): 97.     CrossRef
  • Involvement of the Endocrine-Disrupting Chemical Bisphenol A (BPA) in Human Placentation
    Sophie-Christine de Aguiar Greca, Ioannis Kyrou, Ryan Pink, Harpal Randeva, Dimitris Grammatopoulos, Elisabete Silva, Emmanouil Karteris
    Journal of Clinical Medicine.2020; 9(2): 405.     CrossRef
  • Joint Associations of Maternal Gestational Diabetes and Hypertensive Disorders of Pregnancy With Overweight in Offspring
    Yuying Gu, Jun Lu, Weiqin Li, Huikun Liu, Leishen Wang, Junhong Leng, Wei Li, Shuang Zhang, Shuting Wang, Jaakko Tuomilehto, Zhijie Yu, Xilin Yang, Andrea A. Baccarelli, Lifang Hou, Gang Hu
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Reduced Serum Adiponectin Level and Risk of Poststroke Depression in Patients with Ischemic Stroke
    Junhua Yang, Guanghui Du, Jinyu Wang, Jia Chen, Chenghui Yang, Jia Li, Yun Zhang
    Journal of Stroke and Cerebrovascular Diseases.2019; 28(2): 305.     CrossRef
  • Letter: Adipokines and Insulin Resistance According to Characteristics of Pregnant Women with Gestational Diabetes Mellitus (Diabetes Metab J 2017;41:457-65)
    Ohk-Hyun Ryu
    Diabetes & Metabolism Journal.2018; 42(1): 87.     CrossRef
  • The importance of treating mild hyperglycemia in pregnant women with diabetes
    Kyung-Soo Kim
    The Korean Journal of Internal Medicine.2018; 33(6): 1079.     CrossRef
  • Response: Adipokines and Insulin Resistance According to Characteristics of Pregnant Women with Gestational Diabetes Mellitus (Diabetes Metab J 2017;41:457-65)
    Eon Ju Jeon, Ji Hyun Lee
    Diabetes & Metabolism Journal.2018; 42(1): 90.     CrossRef
Others
Cystatin C as a Predictor for Diabetes according to Glycosylated Hemoglobin Levels in Korean Patients
Eon Ju Jeon, Ji Hyun Lee
Diabetes Metab J. 2016;40(1):32-34.   Published online February 19, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.1.32
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Citations

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  • Prognostic significance of serum cystatin C in acute brainstem infarctions patients
    H. Li, B. Zhang, Z. Huang, H. Wu, B. Qin, L. Zhou, Z. Lu, F. Qin
    Revue Neurologique.2024;[Epub]     CrossRef
  • To compare the level of cystatin C in type 2 diabetes mellitus with obesity
    Chahat Jhatta, Jashan Girdhar, Sumeet Gupta, Inderjeet Verma
    Indian Journal of Endocrinology and Metabolism.2020; 24(4): 312.     CrossRef

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