Endocrinology and Metabolism

Original Articles

Adrenal gland Big Data Articles (National Health Insurance Service Database)
Mortality and Severity of Coronavirus Disease 2019 in Patients with Long-Term Glucocorticoid Therapy: A Korean Nationwide Cohort Study: Eu Jeong Ku, Keeho Song, Kyoung Min Kim, Gi Hyeon Seo, Soon Jib Yoo; Endocrinol Metab. 2023;38(2):253-259. Published online March 21, 2023; DOI: https://doi.org/10.3803/EnM.2022.1607

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Abstract PDF PubReader ePub Crossref - TDM

Background
The severity of coronavirus disease 2019 (COVID-19) among patients with long-term glucocorticoid treatment (LTGT) has not been established. We aimed to evaluate the association between LTGT and COVID-19 prognosis.
Methods
A Korean nationwide cohort database of COVID-19 patients between January 2019 and September 2021 was used. LTGT was defined as exposure to at least 150 mg of prednisolone (≥5 mg/day and ≥30 days) or equivalent glucocorticoids 180 days before COVID-19 infection. The outcome measurements were mortality, hospitalization, intensive care unit (ICU) admission, length of stay, and mechanical ventilation.
Results
Among confirmed patients with COVID-19, the LTGT group (n=12,794) was older and had a higher proportion of comorbidities than the control (n=359,013). The LTGT group showed higher in-hospital, 30-day, and 90-day mortality rates than the control (14.0% vs. 2.3%, 5.9% vs. 1.1%, and 9.9% vs. 1.8%, respectively; all P<0.001). Except for the hospitalization rate, the length of stay, ICU admission, and mechanical ventilation proportions were significantly higher in the LTGT group than in the control (all P<0.001). Overall mortality was higher in the LTGT group than in the control group, and the significance remained in the fully adjusted model (odds ratio [OR], 5.75; 95% confidence interval [CI], 5.31 to 6.23) (adjusted OR, 1.82; 95% CI, 1.67 to 2.00). The LTGT group showed a higher mortality rate than the control within the same comorbidity score category.
Conclusion
Long-term exposure to glucocorticoids increased the mortality and severity of COVID-19. Prevention and early proactive measures are inevitable in the high-risk LTGT group with many comorbidities.

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Glucocorticoids as a Double-Edged Sword in the Treatment of COVID-19: Mortality and Severity of COVID-19 in Patients Receiving Long-Term Glucocorticoid Therapy
Eun-Hee Cho
Endocrinology and Metabolism.2023; 38(2): 223. CrossRef

Diabetes, obesity and metabolism Big Data Articles (National Health Insurance Service Database)
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; Endocrinol Metab. 2023;38(2):245-252. Published online April 5, 2023; DOI: https://doi.org/10.3803/EnM.2023.1662

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Abstract PDF PubReader ePub Crossref - TDM: Background
Coronavirus disease 2019 (COVID-19) can cause various extrapulmonary sequelae, including diabetes. However, it is unclear whether these effects persist 30 days after diagnosis. Hence, we investigated the incidence of newly diagnosed type 2 diabetes mellitus (T2DM) in the post-acute phase of COVID-19.
Methods
This cohort study used data from the Health Insurance Review and Assessment Service, a representative national healthcare database in Korea. We established a cohort of 348,180 individuals diagnosed with COVID-19 without a history of diabetes between January 2020 and September 2021. The control group consisted of sex- and age-matched individuals with neither a history of diabetes nor COVID-19. We assessed the hazard ratios (HR) of newly diagnosed T2DM patients with COVID-19 compared to controls, adjusted for age, sex, and the presence of hypertension and dyslipidemia.
Results
In the post-acute phase, patients with COVID-19 had an increased risk of newly diagnosed T2DM compared to those without COVID-19 (adjusted HR, 1.30; 95% confidence interval [CI], 1.27 to 1.33). The adjusted HRs of non-hospitalized, hospitalized, and intensive care unit-admitted patients were 1.14 (95% CI, 1.08 to 1.19), 1.34 (95% CI, 1.30 to 1.38), and 1.78 (95% CI, 1.59 to 1.99), respectively. The risk of T2DM in patients who were not administered glucocorticoids also increased (adjusted HR, 1.29; 95% CI, 1.25 to 1.32).
Conclusion
COVID-19 may increase the risk of developing T2DM beyond the acute period. The higher the severity of COVID-19 in the acute phase, the higher the risk of newly diagnosed T2DM. Therefore, T2DM should be included as a component of managing long-term COVID-19.

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea: Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim; Endocrinol Metab. 2023;38(1):129-138. Published online January 27, 2023; DOI: https://doi.org/10.3803/EnM.2022.1609

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Abstract PDF PubReader ePub Crossref - TDM

Background
The severity of gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. We aimed to generate a risk model for predicting insulin-requiring GDM before pregnancy in Korean women.
Methods
A total of 417,210 women who received a health examination within 52 weeks before pregnancy and delivered between 2011 and 2015 were recruited from the Korean National Health Insurance database. The risk prediction model was created using a sample of 70% of the participants, while the remaining 30% were used for internal validation. Risk scores were assigned based on the hazard ratios for each risk factor in the multivariable Cox proportional hazards regression model. Six risk variables were selected, and a risk nomogram was created to estimate the risk of insulin-requiring GDM.
Results
A total of 2,891 (0.69%) women developed insulin-requiring GDM. Age, body mass index (BMI), current smoking, fasting blood glucose (FBG), total cholesterol, and γ-glutamyl transferase were significant risk factors for insulin-requiring GDM and were incorporated into the risk model. Among the variables, old age, high BMI, and high FBG level were the main contributors to an increased risk of insulin-requiring GDM. The concordance index of the risk model for predicting insulin-requiring GDM was 0.783 (95% confidence interval, 0.766 to 0.799). The validation cohort’s incidence rates for insulin-requiring GDM were consistent with the risk model’s predictions.
Conclusion
A novel risk engine was generated to predict insulin-requiring GDM among Korean women. This model may provide helpful information for identifying high-risk women and enhancing prepregnancy care.

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Establishment and validation of a nomogram to predict the neck contracture after skin grafting in burn patients: A multicentre cohort study
Rui Li, Yangyang Zheng, Xijuan Fan, Zilong Cao, Qiang Yue, Jincai Fan, Cheng Gan, Hu Jiao, Liqiang Liu
International Wound Journal.2023;[Epub] CrossRef

Review Article

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database: Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee; Endocrinol Metab. 2023;38(1):10-24. Published online February 9, 2023; DOI: https://doi.org/10.3803/EnM.2023.102

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.

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Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
Respiratory Research.2023;[Epub] CrossRef
Research on obesity using the National Health Information Database: recent trends
Eun-Jung Rhee
Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35. CrossRef

Original Articles

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Metformin and Cervical Cancer Risk in Patients with Newly Diagnosed Type 2 Diabetes: A Population-Based Study in Korea: Hyun Min Kim, Min Jin Kang, Sun Ok Song; Endocrinol Metab. 2022;37(6):929-937. Published online December 26, 2022; DOI: https://doi.org/10.3803/EnM.2022.1613; Correction in: Endocrinol Metab 2023;38(1):174

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Abstract PDF PubReader ePub Crossref - TDM: Background
Cervical cancer is a prevalent malignancy that is a major health problem for women worldwide. The cancer-preventive properties of metformin are well-known, but insufficient data have been reported regarding its relationship to cervical cancer. Therefore, in a nationwide population-based study, we investigated the association between metformin use and cervical cancer incidence in patients with newly diagnosed type 2 diabetes.
Methods
This retrospective cohort study used the Korean National Health Insurance claims database. Individuals newly diagnosed with type 2 diabetes between January 2005 and December 2009 were included. The occurrence of cervical cancer was explored by matching for age, economic status, region of residence, and use of anti-diabetic medication.
Results
In total, 66,013 metformin users and 64,756 non-users were analyzed. Cervical cancer occurred in 219 metformin users (0.33%) and 274 metformin non-users (0.42%) (hazard ratio [HR], 0.783; 95% confidence interval [CI], 0.655 to 0.036; P=0.007). Moreover, cervical cancer risk was considerably reduced in those treated with a high dose (>1,200,000 mg) or for an extended period (≥2,000 days) compared to non-users (HR, 0.151; 95% CI, 0.093 to 0.243; P<0.001; and HR, 0.141; 95% CI, 0.077 to 0.258; P<0.001). The incidence was also significantly lower in metformin users among those over 50 years old (HR, 0.791; 95% CI, 0.650 to 0.961; P<0.001).
Conclusion
Metformin use in patients with newly diagnosed diabetes was associated with a lower risk of cervical cancer in Korea. Furthermore, a significant association was found between the use of metformin and cervical cancer in a dose- and duration-dependent manner and among those over 50 years old.

Thyroid Big Data Articles (National Health Insurance Service Database)
Recent Changes in the Incidence of Thyroid Cancer in Korea between 2005 and 2018: Analysis of Korean National Data: Yun Mi Choi, Jiwoo Lee, Mi Kyung Kwak, Min Ji Jeon, Tae Yong Kim, Eun-Gyoung Hong, Won Bae Kim, Won Gu Kim; Endocrinol Metab. 2022;37(5):791-799. Published online October 11, 2022; DOI: https://doi.org/10.3803/EnM.2022.1533

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Abstract PDF PubReader ePub Crossref - TDM

Background
In this study, we evaluated the recent changes in the standardized, age-specific, stage-specific incidence rates (IRs) of thyroid cancer in Korea and compared them with the incidence data reported by the Surveillance, Epidemiology, and End Results Program.
Methods
The analysis was conducted using the incidence data (2005 to 2018) from the Statistics Korea and Korea Central Cancer Registry.
Results
The age-standardized IR (SIR) of thyroid cancer increased from 24.09 per 100,000 in 2005 to 74.83 in 2012 (annual percent change [APC], 14.5). From 2012 to 2015, the SIR decreased to 42.52 (APC, –17.9) and then remained stable until 2018 (APC, 2.1). This trend was similar in both men and women. Regarding age-specific IRs, the IRs for ages of 30 years and older showed a trend similar to that of the SIR; however, for ages below 30 years, no significant reduction was observed from the vertex of IR in 2015. Regarding stage-specific IRs, the increase was more prominent in those with regional disease (APC, 17.4) than in those with localized disease until 2012; then, the IR decreased until 2015 (APC, –16.1). The average APC from 2005 to 2018 increased in men, those under the age of 30 years, and those with regional disease.
Conclusion
The SIR in Korea peaked in 2012 and decreased until 2015 and then remained stable until 2018. However, in young individuals under the age of 30 years, the IR did not significantly decrease but tended to increase again. In terms of stage-specific IRs, the sharpest increase was seen among those with regional disease.

Citations

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Cancer and Mortality Risks of Graves’ Disease in South Korea Based on National Data from 2010 to 2019
Young Ju Choi, Kyungdo Han, Won Kyoung Cho, Min Ho Jung, Byung-Kyu Suh
Clinical Epidemiology.2023; Volume 15: 535. CrossRef
Survival Comparison of Incidentally Found versus Clinically Detected Thyroid Cancers: An Analysis of a Nationwide Cohort Study
Shinje Moon, Eun Kyung Lee, Hoonsung Choi, Sue K. Park, Young Joo Park
Endocrinology and Metabolism.2023; 38(1): 81. CrossRef

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Association among Current Smoking, Alcohol Consumption, Regular Exercise, and Lower Extremity Amputation in Patients with Diabetic Foot: Nationwide Population-Based Study: Yoon Jae Lee, Kyung-Do Han, Jun Hyeok Kim; Endocrinol Metab. 2022;37(5):770-780. Published online October 12, 2022; DOI: https://doi.org/10.3803/EnM.2022.1519

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Abstract PDF PubReader ePub Crossref - TDM: Background
The present study investigates whether modifiable behavioral factors of current cigarette smoking, heavy alcohol consumption, and regular exercise are associated with risk of lower extremity amputation (LEA) in diabetic patients.
Methods
A total of 2,644,440 diabetic patients (aged ≥20 years) was analyzed using the database of the Korean National Health Insurance Service. Cox proportional hazard regression was used to assess adjusted hazard ratios (HRs) for the behavioral factors with risk of LEA under adjustment for potential confounders.
Results
The risk of LEA was significantly increased by current cigarette smoking and heavy alcohol consumption (HR, 1.436; 95% confidence interval [CI], 1.367 to 1.508 and HR, 1.082; 95% CI, 1.011 to 1.158) but significantly decreased with regular exercise (HR, 0.745; 95% CI, 0.706 to 0.786) after adjusting for age, sex, smoking, alcohol consumption, exercise, low income, hypertension, dyslipidemia, body mass index, using insulin or oral antidiabetic drugs, and diabetic duration. A synergistically increased risk of LEA was observed with larger number of risky behaviors.
Conclusion
Modification of behaviors of current smoking, heavy alcohol intake, and exercise prevents LEA and can improve physical, emotional, and social quality of life in diabetic patients.

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis: Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon; Endocrinol Metab. 2022;37(5):759-769. Published online October 5, 2022; DOI: https://doi.org/10.3803/EnM.2022.1515

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM: Background
This study aimed to investigate the long-term effects of diabetes drug costs on cardiovascular (CV) events and death.
Methods
This retrospective observational study used data from 2009 to 2018 from the National Health Insurance in Korea. Among the patients with type 2 diabetes, those taking antidiabetic drugs and who did not have CV events until 2009 were included. Patients were divided into quartiles (Q1 [lowest]–4 [highest]) according to the 2009 diabetes drug cost. In addition, the 10-year incidences of CV events (non-fatal myocardial infarction, stroke, hospitalization for heart failure, and coronary revascularization) and CV death (death due to CV events) were analyzed.
Results
A total of 441,914 participants were enrolled (median age, 60 years; men, 57%). CV events and death occurred in 28.1% and 8.36% of the patients, respectively. The 10-year incidences of CV events and deaths increased from Q1 to 4. After adjusting for sex, age, income, type of diabetes drugs, comorbidities, and smoking and drinking status, the risk of CV events significantly increased according to the sequential order of the cost quartiles. In contrast, the risk of CV death showed a U-shaped pattern, which was the lowest in Q3 (hazard ratio [HR], 0.953; 95% confidence interval [CI], 0.913 to 0.995) and the highest in Q4 (HR, 1.266; 95% CI, 1.213 to 1.321).
Conclusion
Diabetes drug expenditure affects 10-year CV events and mortality. Therefore, affording an appropriate diabetes drug cost at a similar risk of CV is an independent protective factor against CV death.

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Drug Repositioning Using Temporal Trajectories of Accompanying Comorbidities in Diabetes Mellitus: Namgi Park, Ja Young Jeon, Eugene Jeong, Soyeon Kim, Dukyong Yoon; Endocrinol Metab. 2022;37(1):65-73. Published online February 8, 2022; DOI: https://doi.org/10.3803/EnM.2021.1275

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
Most studies of systematic drug repositioning have used drug-oriented data such as chemical structures, gene expression patterns, and adverse effect profiles. As it is often difficult to prove repositioning candidates’ effectiveness in real-world clinical settings, we used patient-centered real-world data for screening repositioning candidate drugs for multiple diseases simultaneously, especially for diabetic complications.
Methods
Using the National Health Insurance Service-National Sample Cohort (2002 to 2013), we analyzed claims data of 43,048 patients with type 2 diabetes mellitus (age ≥40 years). To find repositioning candidate disease-drug pairs, a nested case-control study was used for 29 pairs of diabetic complications and the drugs that met our criteria. To validate this study design, we conducted an external validation for a selected candidate pair using electronic health records.
Results
We found 24 repositioning candidate disease-drug pairs. In the external validation study for the candidate pair cerebral infarction and glycopyrrolate, we found that glycopyrrolate was associated with decreased risk of cerebral infarction (hazard ratio, 0.10; 95% confidence interval, 0.02 to 0.44).
Conclusion
To reduce risks of diabetic complications, it would be possible to consider these candidate drugs instead of other drugs, given the same indications. Moreover, this methodology could be applied to diseases other than diabetes to discover their repositioning candidates, thereby offering a new approach to drug repositioning.

Citations

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Drug Repositioning: Exploring New Indications for Existing Drug-Disease Relationships
Hun-Sung Kim
Endocrinology and Metabolism.2022; 37(1): 62. CrossRef

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018: Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee; Endocrinol Metab. 2022;37(3):466-474. Published online June 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1440

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
Diabetes is a leading cause of death that is responsible for 1.6 million annual deaths worldwide. However, the life expectancy and age at death of people with diabetes have been a matter of debate.
Methods
The National Health Insurance Service claims database, merged with death records from the National Statistical Information Service in Korea from 2006 to 2018, was analyzed.
Results
In total, 1,432,567 deaths were collected. The overall age at death increased by 0.44 and 0.26 year/year in the diabetes and control populations, respectively. The disparity in the mean age at death between the diabetes and control populations narrowed from 5.2 years in 2006 to 3.0 years in 2018 (p<0.001). In a subgroup analysis according to the presence of comorbid diseases, the number and proportion of deaths remained steady in the group with diabetes only, but steadily increased in the groups with diabetes combined with dyslipidemia and/or hypertension. Compared to the control population, the increase in the mean death age was higher in the population with diabetes. This trend was more prominent in the groups with dyslipidemia and/or hypertension than in the diabetes only group. Deaths from vascular disease and diabetes decreased, whereas deaths from cancer and pneumonia increased. The decline in the proportion of deaths from vascular disease was greater in the diabetes groups with hypertension and/or dyslipidemia than in the control population.
Conclusion
The age at death in the population with diabetes increased more steeply and reached a comparable level to those without diabetes.

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Analysis of Cause-of-Death Mortality in Children and Young Adults with Diabetes: A Nationwide 10-Year Follow-Up Cohort Study
Iee-Ho Choi, Sang-Woo Yeom, Sun-Young Kim, Jihye You, Jong-Seung Kim, Minsun Kim
Children.2023; 10(2): 358. CrossRef
Age at Mortality in Patients with Type 2 Diabetes Who Underwent Kidney Transplantation: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
Sun Ok Song, Eugene Han, Kang Ju Son, Bong-Soo Cha, Byung-Wan Lee
Journal of Clinical Medicine.2023; 12(9): 3160. CrossRef

Thyroid Big Data Articles (National Health Insurance Service Database)
Repeated Low High-Density Lipoprotein Cholesterol and the Risk of Thyroid Cancer: A Nationwide Population- Based Study in Korea: Jinyoung Kim, Mee Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon; Endocrinol Metab. 2022;37(2):303-311. Published online April 6, 2022; DOI: https://doi.org/10.3803/EnM.2021.1332

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
High-density lipoprotein cholesterol (HDL-C) plays an important role in the reverse cholesterol transport pathway and prevents atherosclerosis-mediated disease. It has also been suggested that HDL-C may be a protective factor against cancer. However, an inverse correlation between HDL-C and cancer has not been established, and few studies have explored thyroid cancer.
Methods
The study participants received health checkups provided by the Korean National Health Insurance Service from 2009 to 2013 and were followed until 2019. Considering the variability of serum HDL-C level, low HDL-C level was analyzed by grouping based on four consecutive health checkups. The data analysis was performed using univariate and multivariate Cox proportional hazard regression models.
Results
A total of 3,134,278 total study participants, thyroid cancer occurred in 16,129. In the crude model, the hazard ratios for the association between repeatedly measured low HDL-C levels and thyroid cancer were 1.243, 1.404, 1.486, and 1.680 (P for trend <0.01), respectively, which were significant even after adjusting for age, sex, lifestyle factors, and metabolic diseases. The subgroup analysis revealed that low HDL-C levels likely had a greater impact on the group of patients with central obesity (P for interaction= 0.062), high blood pressure (P for interaction=0.057), impaired fasting glucose (P for interaction=0.051), and hyperlipidemia (P for interaction=0.126).
Conclusion
Repeatedly measured low HDL-C levels can be considered a risk factor for cancer as well as vascular disease. Low HDL-C levels were associated with the risk of thyroid cancer, and this correlation was stronger in a metabolically unhealthy population.

Citations

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Carbohydrate, Lipid, and Apolipoprotein Biomarkers in Blood and Risk of Thyroid Cancer: Findings from the AMORIS Cohort
Xue Xiao, Yi Huang, Fetemeh Sadeghi, Maria Feychting, Niklas Hammar, Fang Fang, Zhe Zhang, Qianwei Liu
Cancers.2023; 15(2): 520. CrossRef
Altered serum lipid levels are associated with prognosis of diffuse large B cell lymphoma and influenced by utility of rituximab
Fei Wang, Luo Lu, HuiJuan Chen, Yanhua Yue, Yanting Sun, Feng Yan, Bai He, Rongrong Lin, Weiying Gu
Annals of Hematology.2023; 102(2): 393. CrossRef
Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinology and Metabolism.2023; 38(1): 10. CrossRef
High-density lipoprotein cholesterol and carcinogenesis
Meijuan Tan, Shijie Yang, Xiequn Xu
Trends in Endocrinology & Metabolism.2023; 34(5): 303. CrossRef
Low Serum Cholesterol Level Is a Significant Prognostic Factor That Improves CLL-IPI in Chronic Lymphocytic Leukaemia
Rui Gao, Kaixin Du, Jinhua Liang, Yi Xia, Jiazhu Wu, Yue Li, Bihui Pan, Li Wang, Jianyong Li, Wei Xu
International Journal of Molecular Sciences.2023; 24(8): 7396. CrossRef
Risk factors and diagnostic prediction models for papillary thyroid carcinoma
Xiaowen Zhang, Yuyang Ze, Jianfeng Sang, Xianbiao Shi, Yan Bi, Shanmei Shen, Xinlin Zhang, Dalong Zhu
Frontiers in Endocrinology.2022;[Epub] CrossRef
Exposure to multiple trace elements and thyroid cancer risk in Chinese adults: A case-control study
Jia-liu He, Hua-bing Wu, Wen-lei Hu, Jian-jun Liu, Qian Zhang, Wei Xiao, Ming-jun Hu, Ming Wu, Fen Huang
International Journal of Hygiene and Environmental Health.2022; 246: 114049. CrossRef

Thyroid Big Data Articles (National Health Insurance Service Database)
Graves’ Disease and the Risk of End-Stage Renal Disease: A Korean Population-Based Study: Yoon Young Cho, Bongseong Kim, Dong Wook Shin, Hye Ryoun Jang, Bo-Yeon Kim, Chan-Hee Jung, Jae Hyeon Kim, Sun Wook Kim, Jae Hoon Chung, Kyungdo Han, Tae Hyuk Kim; Endocrinol Metab. 2022;37(2):281-289. Published online April 6, 2022; DOI: https://doi.org/10.3803/EnM.2021.1333

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Abstract PDF PubReader ePub Crossref - TDM

Background
Hyperthyroidism is associated with an increased glomerular filtration rate (GFR) in the hyperdynamic state, which is reversible after restoring euthyroidism. However, long-term follow-up of renal dysfunction in patients with hyperthyroidism has not been performed.
Methods
This was a retrospective cohort study using the Korean National Health Insurance database and biannual health checkup data. We included 41,778 Graves’ disease (GD) patients and 41,778 healthy controls, matched by age and sex. The incidences of end-stage renal disease (ESRD) were calculated in GD patients and controls. The cumulative dose and duration of antithyroid drugs (ATDs) were calculated for each patient and categorized into the highest, middle, and lowest tertiles.
Results
Among 41,778 GD patients, 55 ESRD cases occurred during 268,552 person-years of follow-up. Relative to the controls, regardless of smoking, drinking, or comorbidities, including chronic kidney disease, GD patients had a 47% lower risk of developing ESRD (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.37 to 0.76). In particular, GD patients with a higher baseline GFR (≥90 mL/min/1.73 m2; HR, 0.33; 95% CI, 0.11 to 0.99), longer treatment duration (>33 months; HR, 0.31; 95% CI, 0.17 to 0.58) or higher cumulative dose (>16,463 mg; HR, 0.29; 95% CI, 0.15 to 0.57) of ATDs had a significantly reduced risk of ESRD.
Conclusion
This was the first epidemiological study on the effect of GD on ESRD, and we demonstrated that GD population had a reduced risk for developing ESRD.

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Effect of Hyperthyroidism on Preventing Renal Insufficiency
Tae Yong Kim
Endocrinology and Metabolism.2022; 37(2): 220. CrossRef
Effects and Clinical Value of Peritoneal Dialysis on Water and Water Balance, Adverse Reactions, Quality of Life, and Clinical Prognosis in Patients with Decompensated Chronic Nephropathy: A Systematic Review and Meta-Analysis
Xichao Wang, Miaomiao Zhang, Na Sun, Wenxiu Chang, Gang Chen
Computational and Mathematical Methods in Medicine.2022; 2022: 1. CrossRef

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Cumulative Exposure to High γ-Glutamyl Transferase Level and Risk of Diabetes: A Nationwide Population-Based Study: Ji-Yeon Park, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee; Endocrinol Metab. 2022;37(2):272-280. Published online April 13, 2022; DOI: https://doi.org/10.3803/EnM.2022.1416

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
Elevated γ-glutamyl transferase (γ-GTP) level is associated with metabolic syndrome, impaired glucose tolerance, and insulin resistance, which are risk factors for type 2 diabetes. We aimed to investigate the association of cumulative exposure to high γ-GTP level with risk of diabetes.
Methods
Using nationally representative data from the Korean National Health Insurance system, 346,206 people who were free of diabetes and who underwent 5 consecutive health examinations from 2005 to 2009 were followed to the end of 2018. High γ-GTP level was defined as those in the highest quartile, and the number of exposures to high γ-GTP level ranged from 0 to 5. Hazard ratio (HR) and 95% confidence interval (CI) for diabetes were analyzed using the multivariable Cox proportional-hazards model.
Results
The mean follow-up duration was 9.2±1.0 years, during which 15,183 (4.4%) patients developed diabetes. There was a linear increase in the incidence rate and the risk of diabetes with cumulative exposure to high γ-GTP level. After adjusting for possible confounders, the HR of diabetes in subjects with five consecutive high γ-GTP levels were 2.60 (95% CI, 2.47 to 2.73) in men and 3.05 (95% CI, 2.73 to 3.41) in women compared with those who never had a high γ-GTP level. Similar results were observed in various subgroup and sensitivity analyses.
Conclusion
There was a linear relationship between cumulative exposure to high γ-GTP level and risk of diabetes. Monitoring and lowering γ-GTP level should be considered for prevention of diabetes in the general population.

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Elevated gamma‐glutamyl transferase to high‐density lipoprotein cholesterol ratio has a non‐linear association with incident diabetes mellitus: A second analysis of a cohort study
Haofei Hu, Yong Han, Mijie Guan, Ling Wei, Qijun Wan, Yanhua Hu
Journal of Diabetes Investigation.2022; 13(12): 2027. CrossRef
Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of type 2 diabetes mellitus incidence
Wangcheng Xie, Bin Liu, Yansong Tang, Tingsong Yang, Zhenshun Song
Frontiers in Endocrinology.2022;[Epub] CrossRef

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Association of High-Density Lipoprotein Cholesterol Phenotypes with the Risk of Cardiovascular Diseases and Mortality: A Cohort Study in Korea: Ga Eun Nam, Youn Huh, Jin-Hyung Jung, Kyungdo Han, Seon Mee Kim, on Behalf of the Taskforce Team of the Obesity Fact Sheet of the Korean Society for the Study of Obesity; Endocrinol Metab. 2022;37(2):261-271. Published online April 25, 2022; DOI: https://doi.org/10.3803/EnM.2021.1259

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Background
We investigated whether low high-density lipoprotein cholesterol (HDL-C) and isolated and non-isolated low HDL-C levels are associated with the risk of cardiovascular diseases and all-cause mortality among Korean adults.
Methods
We included 8,665,841 individuals aged ≥20 years who had undergone a health examination provided by the Korean National Health Insurance Service (NHIS) in 2009 and were followed up until the end of 2018. The hazard ratios (HRs) and 95% confidence intervals (CIs) for study outcomes were calculated using multivariable Cox proportional hazard regression analysis.
Results
During the 8.2 years of mean follow-up, myocardial infarction (MI), stroke, and all-cause mortality occurred in 81,431, 110,996, and 244,309 individuals, respectively. After adjusting for confounding variables (model 3), individuals with low HDL-C and lower HDL quartiles were associated with significantly increased risks of all three outcomes, compared to those with normal HDL-C and highest HDL-C quartile (all P<0.001), respectively. HRs for incident MI (1.28; 95% CI, 1.26 to 1.30), stroke (1.13; 95% CI, 1.11 to 1.15), and all-cause mortality (1.07; 95% CI, 1.05 to 1.08) increased in the non-isolated low HDL-C group compared to the normal HDL-C group. Isolated low HDL-C also showed an increase in the HRs of incident stroke (1.06; 95% CI, 1.04 to 1.08) and all-cause mortality (1.30; 95% CI, 1.28 to 1.32).
Conclusion
Low HDL-C and non-isolated low HDL-C were associated with increased risk of MI, stroke, and all-cause mortality, and isolated low HDL-C was associated with incident stroke and all-cause mortality risk.

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Association between cholesterol levels and dementia risk according to the presence of diabetes and statin use: a nationwide cohort study
You-Bin Lee, Min Young Kim, Kyungdo Han, Bongsung Kim, Jiyun Park, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Sang-Man Jin
Scientific Reports.2022;[Epub] CrossRef

Calcium & Bone Metabolism Big Data Articles (National Health Insurance Service Database)
Hip Fracture Risk According to Diabetic Kidney Disease Phenotype in a Korean Population: Seung Eun Lee, Juhwan Yoo, Kyoung-Ah Kim, Kyungdo Han, Han Seok Choi; Endocrinol Metab. 2022;37(1):148-158. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2021.1315

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
Diabetic kidney disease (DKD) is associated with an elevated risk of fractures. However, little is known about the association between proteinuric or non-proteinuric DKD and the risk of hip fracture. Thus, we investigated the incidence of hip fractures among Korean adults with type 2 diabetes mellitus (T2DM) stratified by DKD phenotype.
Methods
In this retrospective cohort study using the Korean National Health Insurance Service database, patients with T2DM who received at least one general health checkup between 2009 and 2012 were followed until the date of hip fracture, death, or December 31, 2018. We classified the DKD phenotype by proteinuria and estimated glomerular filtration rate (eGFR), as follows: no DKD (PU⁻GFR⁻), proteinuric DKD with normal eGFR (PU⁺GFR⁻), non-proteinuric DKD with reduced eGFR (PU⁻GFR⁺), and proteinuric DKD with reduced eGFR (PU⁺GFR⁺)
Results
The cumulative incidence of hip fractures was highest in the PU⁺GFR⁺ group, followed by the PU⁻GFR⁺ group and the PU⁺GFR⁻ group. After adjustment for confounding factors, the hazard ratio (HR) for hip fracture was still highest in the PU⁺GFR⁺ group. However, the PU⁺GFR⁻ group had a higher HR for hip fracture than the PU⁻GFR⁺ group (PU⁺GFR⁺ : HR, 1.69; 95% confidence interval [CI], 1.57 to 1.81; PU⁺GFR⁻ : HR, 1.37; 95% CI, 1.30 to 1.46; PU⁻GFR⁺ : HR, 1.20; 95% CI, 1.16 to 1.24 using the PU⁻GFR⁻ group as the reference category).
Conclusion
The present study demonstrated that DKD was significantly associated with a higher risk of hip fracture, with proteinuria as a major determinant.

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Fracture risks associated with sodium-glucose cotransporter-2 inhibitors in type 2 diabetes patients across eGFR and albuminuria categories: A population-based study in Hong Kong
David Tak Wai Lui, Tingting Wu, Eric Ho Man Tang, Ivan Chi Ho Au, Chi Ho Lee, Yu Cho Woo, Kathryn Choon Beng Tan, Carlos King Ho Wong
Diabetes Research and Clinical Practice.2023; 197: 110576. CrossRef
Diagnose und Management der Osteoporose bei Diabetes mellitus (Update 2023)
Christian Muschitz, Alexandra Kautzky-Willer, Yvonne Winhofer, Martina Rauner, Judith Haschka, Daniel Cejka, Robert Wakolbinger-Habel, Peter Pietschmann
Wiener klinische Wochenschrift.2023; 135(S1): 207. CrossRef
Association between exercise and risk of fractures in new-onset type 2 diabetes: a retrospective cohort study
Seung Eun Lee, Juhwan Yoo, Bong-Seong Kim, Kyoung-Ah Kim, Kyungdo Han, Han Seok Choi
Archives of Osteoporosis.2023;[Epub] CrossRef

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