Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Nam Hoon Kim  (Kim NH) 25 Articles
Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Jaehyun Bae, Eonju Jeon, Ji Min Kim, Seon Mee Kang, Jung Hwan Park, Jae-Seung Yun, Bong-Soo Cha, Min Kyong Moon, Byung-Wan Lee
Diabetes Metab J. 2024;48(4):546-708.   Published online July 26, 2024
DOI: https://doi.org/10.4093/dmj.2024.0249
  • 2,739 View
  • 269 Download
  • 1 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
    Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
    BMC Public Health.2024;[Epub]     CrossRef
Metabolic Risk/Epidemiology
Article image
2023 Diabetic Kidney Disease Fact Sheet in Korea
Nam Hoon Kim, Mi-Hae Seo, Jin Hyung Jung, Kyung Do Han, Mi Kyung Kim, Nan Hee Kim, on Behalf of Diabetic Kidney Disease Research Group of the Korean Diabetes Association
Diabetes Metab J. 2024;48(3):463-472.   Published online March 19, 2024
DOI: https://doi.org/10.4093/dmj.2023.0310
  • 3,233 View
  • 378 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate the prevalence, incidence, comorbidities, and management status of diabetic kidney disease (DKD) and diabetes-related end-stage kidney disease (ESKD) in South Korea.
Methods
We used the Korea National Health and Nutrition Examination Survey data (2019 to 2021, n=2,665) for the evaluation of prevalence, comorbidities, control rate of glycemia and comorbidities in DKD, and the Korean Health Insurance Service-customized database (2008 to 2019, n=3,950,857) for the evaluation of trends in the incidence and prevalence rate of diabetes-related ESKD, renin-angiotensin system (RAS) blockers and sodium glucose cotransporter 2 (SGLT2) inhibitors use for DKD, and the risk of atherosclerotic cardiovascular disease (ASCVD) and mortality according to DKD stages. DKD was defined as albuminuria or low estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in patients with diabetes mellitus.
Results
The prevalence of DKD was 25.4% (albuminuria, 22.0%; low eGFR, 6.73%) in patients with diabetes mellitus aged ≥30 years. Patients with DKD had a higher rate of comorbidities, including hypertension, dyslipidemia, and central obesity; however, their control rates were lower than those without DKD. Prescription rate of SGLT2 inhibitors with reduced eGFR increased steadily, reaching 5.94% in 2019. Approximately 70% of DKD patients were treated with RAS blockers. The prevalence rate of diabetesrelated ESKD has been steadily increasing, with a higher rate in older adults. ASCVD and mortality were significantly associated with an in increase in DKD stage.
Conclusion
DKD is prevalent among Korean patients with diabetes and is an independent risk factor for cardiovascular morbidity and mortality, which requiring intensive management of diabetes and comorbidities. The prevalence of diabetes-related ESKD has been increasing, especially in the older adults, during past decade.

Citations

Citations to this article as recorded by  
  • Endothelial NOX5 Obliterates the Reno-Protective Effect of Nox4 Deletion by Promoting Renal Fibrosis via Activation of EMT and ROS-Sensitive Pathways in Diabetes
    Karin A. M. Jandeleit-Dahm, Haritha R. Kankanamalage, Aozhi Dai, Jaroslawna Meister, Sara Lopez-Trevino, Mark E. Cooper, Rhian M. Touyz, Christopher R. J. Kennedy, Jay C. Jha
    Antioxidants.2024; 13(4): 396.     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study
Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2024;48(2):279-289.   Published online January 26, 2024
DOI: https://doi.org/10.4093/dmj.2023.0225
  • 2,321 View
  • 309 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Recent diabetes management guidelines recommend that sodium-glucose cotransporter 2 inhibitors (SGLT2is) or glucagon-like peptide 1 receptor agonists (GLP-1RAs) with proven cardiovascular benefits should be prioritized for combination therapy in patients with type 2 diabetes mellitus (T2DM) and established cardiovascular disease (CVD). This study was aimed at evaluating SGLT2i or GLP-1RA usage rates and various related factors in patients with T2DM and established CVD.
Methods
We enrolled adults with T2DM aged ≥30 years who were hospitalized due to established CVD from January 2019 to May 2020 at 13 secondary and tertiary hospitals in Korea in this retrospective observational study.
Results
Overall, 2,050 patients were eligible for analysis among 2,107 enrolled patients. The mean patient age, diabetes duration, and glycosylated hemoglobin level were 70.0 years, 12.0 years, and 7.5%, respectively. During the mean follow-up duration of 9.7 months, 25.7% of the patients were prescribed SGLT2is after CVD events. However, only 1.8% were prescribed GLP-1RAs. Compared with SGLT2i non-users, SGLT2i users were more frequently male and obese. Furthermore, they had a shorter diabetes duration but showed worse glycemic control and better renal function at the time of the event. GLP-1RA users had a longer duration of diabetes and worse glycemic control at the time of the event than GLP-1RA non-users.
Conclusion
The SGLT2i or GLP-1RA prescription rates were suboptimal in patients with T2DM and established CVD. Sex, body mass index, diabetes duration, glycemic control, and renal function were associated with the use of these agents.

Citations

Citations to this article as recorded by  
  • Enhancing Patient Outcomes: Prioritizing SGLT2is and GLP-1RAs in Diabetes with CVD
    Gwanpyo Koh
    Diabetes & Metabolism Journal.2024; 48(2): 208.     CrossRef
Pathophysiology
Article image
Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes Metab J. 2024;48(1):37-52.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2023.0193
  • 4,634 View
  • 308 Download
  • 1 Web of Science
AbstractAbstract PDFPubReader   ePub   
Novel strategies are required to reduce the risk of developing diabetes and/or clinical outcomes and complications of diabetes. In this regard, the role of the circadian system may be a potential candidate for the prevention of diabetes. We reviewed evidence from animal, clinical, and epidemiological studies linking the circadian system to various aspects of the pathophysiology and clinical outcomes of diabetes. The circadian clock governs genetic, metabolic, hormonal, and behavioral signals in anticipation of cyclic 24-hour events through interactions between a “central clock” in the suprachiasmatic nucleus and “peripheral clocks” in the whole body. Currently, circadian rhythmicity in humans can be subjectively or objectively assessed by measuring melatonin and glucocorticoid levels, core body temperature, peripheral blood, oral mucosa, hair follicles, rest-activity cycles, sleep diaries, and circadian chronotypes. In this review, we summarized various circadian misalignments, such as altered light-dark, sleep-wake, rest-activity, fasting-feeding, shift work, evening chronotype, and social jetlag, as well as mutations in clock genes that could contribute to the development of diabetes and poor glycemic status in patients with diabetes. Targeting critical components of the circadian system could deliver potential candidates for the treatment and prevention of type 2 diabetes mellitus in the future.
Cardiovascular Risk/Epidemiology
Article image
Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2023;47(6):837-845.   Published online August 23, 2023
DOI: https://doi.org/10.4093/dmj.2022.0217
  • 2,306 View
  • 203 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
A substantial cardiovascular disease risk remains even after optimal statin therapy. Comparative predictiveness of major lipid and lipoprotein parameters for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) who are treated with statins is not well documented.
Methods
From the Korean Nationwide Cohort, 11,900 patients with T2DM (≥40 years of age) without a history of cardiovascular disease and receiving moderate- or high-intensity statins were included. The primary outcome was the first occurrence of major adverse cardiovascular events (MACE) including ischemic heart disease, ischemic stroke, and cardiovascular death. The risk of MACE was estimated according to on-statin levels of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), highdensity lipoprotein cholesterol (HDL-C), and non-HDL-C.
Results
MACE occurred in 712 patients during a median follow-up period of 37.9 months (interquartile range, 21.7 to 54.9). Among patients achieving LDL-C levels less than 100 mg/dL, the hazard ratios for MACE per 1-standard deviation change in ontreatment values were 1.25 (95% confidence interval [CI], 1.07 to 1.47) for LDL-C, 1.31 (95% CI, 1.09 to 1.57) for non-HDL-C, 1.05 (95% CI, 0.91 to 1.21) for TG, and 1.16 (95% CI, 0.98 to 1.37) for HDL-C, after adjusting for potential confounders and lipid parameters mutually. The predictive ability of on-statin LDL-C and non-HDL-C for MACE was prominent in patients at high cardiovascular risk or those with LDL-C ≥70 mg/dL.
Conclusion
On-statin LDL-C and non-HDL-C levels are better predictors of the first cardiovascular event than TG or HDL-C in patients with T2DM.
Technology/Device
Article image
Clinical and Lifestyle Determinants of Continuous Glucose Monitoring Metrics in Insulin-Treated Patients with Type 2 Diabetes Mellitus
Da Young Lee, Namho Kim, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Jihee Kim, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Sung-Min Park, Nan Hee Kim
Diabetes Metab J. 2023;47(6):826-836.   Published online August 24, 2023
DOI: https://doi.org/10.4093/dmj.2022.0273
  • 3,307 View
  • 230 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There was limited evidence to evaluate the association between lifestyle habits and continuous glucose monitoring (CGM) metrics. Thus, we aimed to depict the behavioral and metabolic determinants of CGM metrics in insulin-treated patients with type 2 diabetes mellitus (T2DM).
Methods
This is a prospective observational study. We analyzed data from 122 insulin-treated patients with T2DM. Participants wore Dexcom G6 and Fitbit, and diet information was identified for 10 days. Multivariate-adjusted logistic regression analysis was performed for the simultaneous achievement of CGM-based targets, defined by the percentage of time in terms of hyper, hypoglycemia and glycemic variability (GV). Intake of macronutrients and fiber, step counts, sleep, postprandial C-peptide-to-glucose ratio (PCGR), information about glucose lowering medications and metabolic factors were added to the analyses. Additionally, we evaluated the impact of the distribution of energy and macronutrient during a day, and snack consumption on CGM metrics.
Results
Logistic regression analysis revealed that female, participants with high PCGR, low glycosylated hemoglobin (HbA1c) and daytime step count had a higher probability of achieving all targets based on CGM (odds ratios [95% confidence intervals] which were 0.24 [0.09 to 0.65], 1.34 [1.03 to 1.25], 0.95 [0.9 to 0.99], and 1.15 [1.03 to 1.29], respectively). And participants who ate snacks showed a shorter period of hyperglycemia and less GV compared to those without.
Conclusion
We confirmed that residual insulin secretion, daytime step count, HbA1c, and women were the most relevant determinants of adequate glycemic control in insulin-treated patients with T2DM. In addition, individuals with snack consumption were exposed to lower times of hyperglycemia and GV.

Citations

Citations to this article as recorded by  
  • Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review
    Lotte Bogaert, Iris Willems, Patrick Calders, Eveline Dirinck, Manon Kinaupenne, Marga Decraene, Bruno Lapauw, Boyd Strumane, Margot Van Daele, Vera Verbestel, Marieke De Craemer
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(4): 102995.     CrossRef
Drug Regimen
Article image
The Efficacy and Safety of Moderate-Intensity Rosuvastatin with Ezetimibe versus High-Intensity Rosuvastatin in High Atherosclerotic Cardiovascular Disease Risk Patients with Type 2 Diabetes Mellitus: A Randomized, Multicenter, Open, Parallel, Phase 4 Study
Jun Sung Moon, Il Rae Park, Sang Soo Kim, Hye Soon Kim, Nam Hoon Kim, Sin Gon Kim, Seung Hyun Ko, Ji Hyun Lee, Inkyu Lee, Bo Kyeong Lee, Kyu Chang Won
Diabetes Metab J. 2023;47(6):818-825.   Published online November 24, 2023
DOI: https://doi.org/10.4093/dmj.2023.0171
  • 4,431 View
  • 382 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate the efficacy and safety of moderate-intensity rosuvastatin/ezetimibe combination compared to highintensity rosuvastatin in high atherosclerotic cardiovascular disease (ASCVD) risk patients with type 2 diabetes mellitus (T2DM).
Methods
This study was a randomized, multicenter, open, parallel phase 4 study, and enrolled T2DM subjects with an estimated 10-year ASCVD risk ≥7.5%. The primary endpoint was the low-density lipoprotein cholesterol (LDL-C) change rate after 24-week rosuvastatin 10 mg/ezetimibe 10 mg treatment was non-inferior to that of rosuvastatin 20 mg. The achievement proportion of 10-year ASCVD risk <7.5% or comprehensive lipid target (LDL-C <70 mg/dL, non-high-density lipoprotein cholesterol <100 mg/dL, and apolipoprotein B <80 mg/dL) without discontinuation, and several metabolic parameters were explored as secondary endpoints.
Results
A hundred and six participants were assigned to each group. Both groups showed significant reduction in % change of LDL-C from baseline at week 24 (–63.90±6.89 vs. –55.44±6.85, combination vs. monotherapy, p=0.0378; respectively), but the combination treatment was superior to high-intensity monotherapy in LDL-C change (%) from baseline (least square [LS] mean difference, –8.47; 95% confidence interval, –16.44 to –0.49; p=0.0378). The combination treatment showed a higher proportion of achieved comprehensive lipid targets rather than monotherapy (85.36% vs. 62.22% in monotherapy, p=0.015). The ezetimibe combination significantly improved homeostasis model assessment of β-cell function even without A1c changes (LS mean difference, 17.13; p=0.0185).
Conclusion
In high ASCVD risk patients with T2DM, the combination of moderate-intensity rosuvastatin and ezetimibe was not only non-inferior but also superior to improving dyslipidemia with additional benefits compared to high-intensity rosuvastatin monotherapy.

Citations

Citations to this article as recorded by  
  • Does Rosuvastatin/Ezetimibe Combination Therapy Offer Potential Benefits for Glucose Metabolism beyond Lipid-Lowering Efficacy in T2DM?
    Il Rae Park, Jun Sung Moon
    Diabetes & Metabolism Journal.2024; 48(3): 387.     CrossRef
Guideline/Fact Sheet
Article image
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Won Suk Choi, Min Kyong Moon, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2023;47(5):575-594.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2023.0282
  • 8,688 View
  • 1,018 Download
  • 25 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   ePub   
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
    Metabolism.2024; 152: 155789.     CrossRef
  • Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
    In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2024; 13(1): 80.     CrossRef
  • Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
    Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
    Diabetes Research and Clinical Practice.2024; 208: 111125.     CrossRef
  • Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
    Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim, Song Vogue Ahn, Sun Ha Jee, Sungha Park, Hae-Young Lee, Min Ho Shin, Sang-Hyun Ihm, Seung Won Lee, Jong Ku Park, Il Suh, Tae-Yong Lee
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
    Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Metabolites.2024; 14(3): 169.     CrossRef
  • Fenofibrate to prevent amputation and reduce vascular complications in patients with diabetes: FENO-PREVENT
    Eu Jeong Ku, Bongseong Kim, Kyungdo Han, Seung-Hwan Lee, Hyuk-Sang Kwon
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • A self-powered and supercapacitive microneedle continuous glucose monitoring system with a wide range of glucose detection capabilities
    Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
    Biosensors and Bioelectronics.2024; 257: 116297.     CrossRef
  • Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
    Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(7): 2567.     CrossRef
  • SGLT2i impact on HCC incidence in patients with fatty liver disease and diabetes: a nation-wide cohort study in South Korea
    Hyo Jung Cho, Eunyoung Lee, Soon Sun Kim, Jae Youn Cheong
    Scientific Reports.2024;[Epub]     CrossRef
  • The importance of diabetes mellitus in dental practice
    Nina Dimitrijević-Jovanović, Hristina Ugrinović, Radomir Mitić, Nevena Kalezić
    Galenika Medical Journal.2024; 3(9): 80.     CrossRef
  • Evaluation of glycemic response of ten local meals commonly consumed from Chad
    Zoufane Guedeungbe, Jean Paul Bayang, Benoît Bargui Koubala
    Journal of Agriculture and Food Research.2024; 17: 101251.     CrossRef
  • Glycemic Control and Oral Health Outcomes in Patients With Diabetes: Insights From a Nationwide Korean Survey
    Song-Yi Yu, Sun-Kyung Lee, Bumhee Yang, Hyun Lee, Hyun Jeong Jeon, Dong-Hwa Lee
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Efficacy and safety of albiglutide, a once-weekly glucagon-like peptide-1 receptor agonist, in patients with type 2 diabetes: A systematic review and meta-analysis
    A.B.M. Kamrul-Hasan, Deep Dutta, Lakshmi Nagendra, Saptarshi Bhattacharya, Rajiv Singla, Sanjay Kalra
    Medicine.2024; 103(25): e38568.     CrossRef
  • Longitudinal Analysis of Diabetes Mellitus Risk: Smoking Status and Smoking Cessation
    Da-Eun Sung, Seung-Jae Lee, Mi-Yeon Lee, Eun-Jung Rhee, Ki-Chul Sung
    Journal of Clinical Medicine.2024; 13(13): 3927.     CrossRef
  • Current type 2 diabetes guidelines: Individualized treatment and how to make the most of metformin
    Juliana C. N. Chan, Aimin Yang, Natural Chu, Elaine Chow
    Diabetes, Obesity and Metabolism.2024; 26(S3): 55.     CrossRef
  • Comprehensive management of polypharmacy in older patients with diabetes
    Kang Seo Park, Hea Min Yu
    Journal of the Korean Medical Association.2024; 67(7): 449.     CrossRef
  • The Key Role of Nutritional Intervention in Delaying Disease Progression and the Therapeutic Management of Diabetic Kidney Disease—A Challenge for Physicians and Patients
    Ileana Peride, Miruna Anastasiu, Silvia Alexandra Serban, Mirela Tiglis, Razvan Ene, Ana-Maria Nechita, Tiberiu Paul Neagu, Ionel Alexandru Checherita, Andrei Niculae
    Journal of Personalized Medicine.2024; 14(8): 778.     CrossRef
  • Efficacy and Safety of Pioglitazone Add-on in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin and Dapagliflozin: A Multicenter, Randomized, Double-blind, and Placebo-controlled Study
    Yun Kyung Cho, Kyung-Soo Kim, Byung-Wan Lee, Jun Hwa Hong, Jae Myung Yu, Soo Lim, Ye An Kim, Chang Beom Lee, Sang Soo Kim, Soo Heon Kwak, Woo Je Lee
    Clinical Therapeutics.2024; 46(9): 662.     CrossRef
  • Islet transplantation in Korea
    Joonyub Lee, Kun‐Ho Yoon
    Journal of Diabetes Investigation.2024; 15(9): 1165.     CrossRef
  • Effect of gout and diabetic kidney disease on renal cancer development in Korea
    Seung Min Chung, Inha Jung, Da Young Lee, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim
    Clinical Kidney Journal.2024;[Epub]     CrossRef
  • Cardiovascular autonomic neuropathy and the risk of diabetic kidney disease
    Injeong Cho, Seohyun Lim, Minjae Kwon, Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Educational Needs and Priorities of People with Diabetes and Healthcare Providers in South Korea: A Mixed-Methods Study
    Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk
    Journal of Transcultural Nursing.2024;[Epub]     CrossRef
  • Changes in serum uteroglobin level in type 2 diabetes mellitus patients
    Joung Youl Lim, Sang-Hyeon Ju, Ji Min Kim, Hyon-Seung Yi, Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku, Kyong Hye Joung
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
    Junghyun Noh
    The Journal of Korean Diabetes.2023; 24(3): 127.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
    Jong Han Choi
    The Korean Journal of Medicine.2023; 98(6): 289.     CrossRef
  • Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2023; 14(1): 42.     CrossRef
Drug/Regimen
Article image
Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
Diabetes Metab J. 2023;47(1):82-91.   Published online June 20, 2022
DOI: https://doi.org/10.4093/dmj.2021.0356
  • 7,019 View
  • 332 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the safety and effectiveness of empagliflozin in routine clinical settings, we collected and assessed the clinical profiles of Korean patients with type 2 diabetes mellitus.
Methods
This was a post-marketing surveillance study of empagliflozin 10 and 25 mg. Information on adverse events and adverse drug reactions (ADRs) was collected as safety data sets. Available effectiveness outcomes, including glycosylated hemoglobin (HbA1c) level, fasting plasma glucose, body weight, and blood pressure, were assessed.
Results
The incidence rate of ADRs was 5.14% in the safety dataset (n=3,231). Pollakiuria, pruritis genital, and weight loss were the most common ADRs. ADRs of special interest accounted for only 1.18%, and there were no serious events that led to mortality or hospitalization. In the effectiveness data set (n=2,567), empagliflozin significantly reduced the mean HbA1c level and body weight during the study period by –0.68%±1.39% and –1.91±3.37 kg (both P<0.0001), respectively. In addition, shorter disease duration, absence of dyslipidemia, and higher baseline HbA1c levels were identified as the clinical features characteristic of a “responder” to empagliflozin therapy.
Conclusion
Empagliflozin is a safe and potent glucose-lowering drug in routine use among Korean patients with type 2 diabetes mellitus. It is expected to have better glycemic efficacy in Korean patients with poorly controlled type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Evaluation of Efficacy and Safety of Empagliflozin in Bangladeshi Patients with Type 2 Diabetes Mellitus (EFFISAEM Study)
    Mohammad Saifuddin, Ajit Kumar Paul, Sultana Marufa Shefin, Md. Jahangir Alam, Shahjada Selim, Sunjida Islam, Tanjina Hossain, Sadiqa Tuqan, Nusrat Sultana, Marufa Mustari, Ramen Chandra Basak, Kazi Ali Aftab, Indrajit Prasad, Mohammad Rafiq Uddin, Shoma
    Indian Journal of Endocrinology and Metabolism.2024;[Epub]     CrossRef
  • Blood pressure reduction with empagliflozin in Japanese patients with type 2 diabetes and cardiovascular diseases: a post-hoc sub-analysis of the placebo-controlled randomized EMBLEM trial
    Atsushi Tanaka, Michio Shimabukuro, Hiroki Teragawa, Hisako Yoshida, Yosuke Okada, Toshinari Takamura, Isao Taguchi, Shigeru Toyoda, Hirofumi Tomiyama, Shinichiro Ueda, Yukihito Higashi, Koichi Node, Junya Ako, Hirohisa Amano, Itaru Hisauchi, Yumi Ikehara
    Hypertension Research.2024; 47(9): 2295.     CrossRef
  • Comparison of the Pharmacokinetics, Safety, and Tolerability of Two Empagliflozin Formulations in Healthy Korean Subjects
    Xu Jiang, Sungyeun Bae, Deok Yong Yoon, Shin Jung Park, Jaeseong Oh, Joo-Youn Cho, Kyung-Sang Yu
    Drug Design, Development and Therapy.2023; Volume 17: 2137.     CrossRef
  • Comparative safety of different sodium-glucose transporter 2 inhibitors in patients with type 2 diabetes: a systematic review and network meta-analysis of randomized controlled trials
    Chun Xing Li, Li Yan Liu, Chen Xiao Zhang, Xu Hua Geng, Si Meng Gu, Yu Qiao Wang, Hua Liu, Qing Xie, Shuo Liang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
Ji Yoon Kim, Nam Hoon Kim
Diabetes Metab J. 2023;47(1):42-44.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2022.0454
  • 2,335 View
  • 147 Download
PDFPubReader   ePub   
Others
Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
Diabetes Metab J. 2022;46(6):923-935.   Published online May 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0346
  • 6,904 View
  • 273 Download
  • 11 Web of Science
  • 10 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

Citations

Citations to this article as recorded by  
  • Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
    Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
    Frontiers in Aging Neuroscience.2024;[Epub]     CrossRef
  • Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
    Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
    Brain Sciences.2024; 14(3): 284.     CrossRef
  • The relationship between diabetes and the dementia risk: a meta-analysis
    Fang Cao, Fushuang Yang, Jian Li, Wei Guo, Chongheng Zhang, Fa Gao, Xinxin Sun, Yi Zhou, Wenfeng Zhang
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic
    Miguel A. Salinero-Fort, F. Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M. de-Miguel-Yanes, Javier Maroto-Rodriguez, Bel
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Association of remnant cholesterol with risk of dementia: a nationwide population-based cohort study in South Korea
    Ji Hye Heo, Han Na Jung, Eun Roh, Kyung-do Han, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    The Lancet Healthy Longevity.2024; 5(8): e524.     CrossRef
  • Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
    Patricia C. Underwood, Libin Zhang, David C. Mohr, Julia C. Prentice, Richard E. Nelson, Andrew E. Budson, Paul R. Conlin
    JAMA Network Open.2024; 7(8): e2425354.     CrossRef
  • The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
    Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau, Fathia Alomoush
    Clinical Nursing Research.2023; 32(2): 249.     CrossRef
  • The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     CrossRef
  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
    Neurology International.2023; 15(4): 1253.     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
Metabolic Risk/Epidemiology
Associations between Weight-Adjusted Waist Index and Abdominal Fat and Muscle Mass: Multi-Ethnic Study of Atherosclerosis
Ji Yoon Kim, Jimi Choi, Chantal A. Vella, Michael H. Criqui, Matthew A. Allison, Nam Hoon Kim
Diabetes Metab J. 2022;46(5):747-755.   Published online March 30, 2022
DOI: https://doi.org/10.4093/dmj.2021.0294
  • 6,689 View
  • 273 Download
  • 53 Web of Science
  • 60 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The weight-adjusted waist index (WWI) reflected body compositional changes with aging. This study was to investigate the association of WWI with abdominal fat and muscle mass in a diverse race/ethnic population.
Methods
Computed tomography (CT) data from 1,946 participants for abdominal fat and muscle areas from the Multi-Ethnic Study of Atherosclerosis (785 Whites, 252 Asians, 406 African American, and 503 Hispanics) were used. Among them, 595 participants underwent repeated CT. The WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). The associations of WWI with abdominal fat and muscle measures were examined, and longitudinal changes in abdominal composition measures were compared.
Results
In all race/ethnic groups, WWI was positively correlated with total abdominal fat area (TFA), subcutaneous fat area, and visceral fat area, but negatively correlated with total abdominal muscle area (TMA) and abdominal muscle radiodensity (P<0.001 for all). WWI showed a linear increase with aging regardless of race and there were no significant differences in the WWI distribution between Whites, Asians, and African Americans. In longitudinal analyses, over 38.6 months of follow-up, all abdominal fat measures increased but muscle measures decreased, along with increase in WWI. The more the WWI increased, the more the TFA increased and the more the TMA decreased.
Conclusion
WWI showed positive associations with abdominal fat mass and negative associations with abdominal muscle mass, which likely reflects the abdominal compositional changes with aging in a multi-ethnic population.

Citations

Citations to this article as recorded by  
  • The association between weight-adjusted-waist index and depression: Results from NHANES 2005–2018
    Meng Li, Xue Yu, Wenhui Zhang, Jiahui Yin, Lu Zhang, Guoshuai Luo, Yuanxiang Liu, Jiguo Yang
    Journal of Affective Disorders.2024; 347: 299.     CrossRef
  • Association between weight-adjusted-waist index and gallstones: an analysis of the National Health and Nutrition Examination Survey
    Si-Hua Wen, Xin Tang, Tao Tang, Zheng-Rong Ye
    BMC Gastroenterology.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and myopia in adolescents and young adults: results from NHANES 1999–2008
    Xu Han Shi, Li Dong, Rui Heng Zhang, Wen Bin Wei
    BMC Ophthalmology.2024;[Epub]     CrossRef
  • Association between the weight-adjusted waist index and the odds of type 2 diabetes mellitus in United States adults: a cross-sectional study
    Dongdong Zheng, Suzhen Zhao, Dan Luo, Feng Lu, Zhishen Ruan, Xiaokang Dong, Wenjing Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between Weight-Adjusted Waist Index and depressive symptoms: A nationally representative cross-sectional study from NHANES 2005 to 2018
    Hangyu Liu, Jin Zhi, Chuzhao Zhang, Shiyi Huang, Yang Ma, Dandan Luo, Lungang Shi
    Journal of Affective Disorders.2024; 350: 49.     CrossRef
  • Relationship between cognitive function and weight-adjusted waist index in people ≥ 60 years old in NHANES 2011–2014
    Xue-li Wang, Hong-lin Feng, Xiao-zhuo Xu, Jing Liu, Xu Han
    Aging Clinical and Experimental Research.2024;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and periodontitis risk: A cross-sectional study
    Xinyu Wu, Zahra Cheraghi
    PLOS ONE.2024; 19(5): e0302137.     CrossRef
  • Association between weight-adjusted waist index and non-alcoholic fatty liver disease: a population-based study
    Changhui Yu, Shiming He, Maobin Kuang, Chao Wang, Xin Huang, Guotai Sheng, Yang Zou
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and serum total testosterone in males aged 6–19 years in the United States: Data from NHANES 2013–2016
    Zhifei Wu, Lingling Bao, Haiyan Wang, Jiajing Zheng, Yu Chen, Wenjuan Wang, Dongkai Qiu
    Heliyon.2024; 10(6): e27520.     CrossRef
  • Associations of weight-adjusted-waist index and depression with secondary infertility
    Fei Sun, Min Liu, Shanshan Hu, Ruijie Xie, Huijuan Chen, Zhaona Sun, Huiya Bi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study
    Yun Shen, Yahui Wu, Panru Luo, Minghan Fu, Kai Zhu, Jinsheng Wang
    Journal of Affective Disorders.2024; 355: 299.     CrossRef
  • Age differences in the association of body mass index-defined obesity with abdominal aortic calcification
    Tangmeng Guo, Lili Huang, Zhijian Luo, Huabo Zheng, Shengshuai Shan, Bei Cheng
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus
    Zhaoxiang Wang, Xuejing Shao, Wei Xu, Bingshuang Xue, Shao Zhong, Qichao Yang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The association between the weight-adjusted-waist index and frailty in US older adults: a cross-sectional study of NHANES 2007–2018
    Shanshan Jia, Xingwei Huo, Lirong Sun, Yuanyuan Yao, Xiaoping Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Can weight-adjusted waist circumference index become a single anthropometric predictor of prostate-specific antigen concentration? A National Health and Nutrition Examination Survey analysis (2003–2010)
    Guodong Yang, Te Cui, Yu Cao, Shuowen Wang, Xinyi Yang, Mikhail Enikeev, Mingze He
    Journal of Investigative Medicine.2024; 72(6): 532.     CrossRef
  • The association between weight-adjusted-waist index and sarcopenia in adults: a population-based study
    Haojing Zhou, Hai Su, Yichen Gong, Lei Chen, Lihan Xu, Guoqian Chen, Peijian Tong
    Scientific Reports.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is an independent predictor of all-cause and cause-specific mortality in patients with asthma
    Shidong Wang, Dai Li, Liping Sun
    Heart & Lung.2024; 68: 166.     CrossRef
  • Associations of body mass index, waist circumference and the weight‐adjusted waist index with daily living ability impairment in older Chinese people: A cross‐sectional study of the Chinese Longitudinal Healthy Longevity Survey
    Jie Sun, Jie Lin, Wenqin Shen, Pan Ding, Wenjuan Yang, Li Huang, Huajian Chen
    Diabetes, Obesity and Metabolism.2024; 26(9): 4069.     CrossRef
  • Relationship between weight-adjusted-waist index and blood pressure as well as incident hypertension among middle-aged and elderly Chinese: A longitudinal study
    XingJie Huang, Yuqing Huang, Hanli Zhou, Zehan Huang
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(9): 2095.     CrossRef
  • Flavonoids intake and weight-adjusted waist index: insights from a cross-sectional study of NHANES
    Shuang Zu, Meiling Yang, Xiude Li, Hanhan Wu, Xunliang Li, Yunshan Fan, Deguang Wang, Bao Zhang
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Weight-adjusted-waist index is positively associated with urinary incontinence: results from the National Health and Nutrition Examination Survey (NHANES) 2001–2018
    Shangqi Cao, Xu Hu, Yaxiong Tang, Kang Wu, Weixiao Yang, Xiang Li
    European Journal of Medical Research.2024;[Epub]     CrossRef
  • The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes
    Zaixiao Tao, Pengfei Zuo, Genshan Ma
    Scientific Reports.2024;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and muscle strength in adults: a population-based study
    Lihan Xu, Haojing Zhou
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is a potential early predictor of degraded bone microarchitecture: A cross-sectional study of the national health and nutrition examination survey 2007-2008
    Baoguo Mi, Jitao Zhang, Kuo Jiang, Hailan Meng, Lequn Shan, Dingjun Hao
    Journal of Orthopaedic Surgery.2024;[Epub]     CrossRef
  • The weight-adjusted waist index and frailty: A cohort study from the China Health and Retirement Longitudinal Study
    Jinhua Luo, Hailian Deng, Yueying Wu, Tuming Zhang, Yuying Cai, Yu Yang
    The Journal of nutrition, health and aging.2024; 28(9): 100322.     CrossRef
  • The association between Weight-adjusted-Waist Index (WWI) and cognitive function in older adults: a cross-sectional NHANES 2011–2014 study
    Xichenhui Qiu, Jiahao Kuang, Yiqing Huang, Changning Wei, Xujuan Zheng
    BMC Public Health.2024;[Epub]     CrossRef
  • Association between weight-adjusted waist index and risk of diabetes mellitus type 2 in United States adults and the predictive value of obesity indicators
    XinMeng Li, Dan Zhao, Hongkun Wang
    BMC Public Health.2024;[Epub]     CrossRef
  • Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine
    Qi Sun, Yang Yang, Jing Liu, Fang Ye, Qin Hui, Yuanmei Chen, Die Liu, Qi Zhang
    EPMA Journal.2024; 15(3): 491.     CrossRef
  • The Link Between Weight-Adjusted-Waist Index and Psoriasis in Adults: A Cross-Sectional Study Based on 2009-2014 and 2003-2006 Data
    Yizi Jiang, Min Jia
    Clinical, Cosmetic and Investigational Dermatology.2024; Volume 17: 1763.     CrossRef
  • Association of weight-adjusted waist index with cardiovascular disease and mortality among metabolic syndrome population
    Zaixiao Tao, Pengfei Zuo, Genshan Ma
    Scientific Reports.2024;[Epub]     CrossRef
  • Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study
    Weiwei Zeng
    Scientific Reports.2024;[Epub]     CrossRef
  • The association of weight-adjusted waist index with the risk of osteoporosis in patients with type 2 diabetes: a cross-sectional study
    Runzhou Pan, Yukun Li
    Journal of Orthopaedic Surgery and Research.2024;[Epub]     CrossRef
  • Relationship between weight‐adjusted‐waist index and all‐cause and cardiovascular mortality in individuals with type 2 diabetes
    Tian‐Yu Zhang, Zi‐Meng Zhang, Xue‐Ning Wang, Hong‐Yu Kuang, Qian Xu, Hong‐Xue Li, Cheng‐Ye Xu, Kang‐Qi Zhao, Cong Zhang, Ming Hao
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study
    Jiabei Wu, Jinli Guo, Fredirick Lazaro Mashili
    PLOS ONE.2024; 19(9): e0309150.     CrossRef
  • Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity
    Daniel de Luis Román, David Primo, Olatz Izaola Jáuregui, Daniel Rico Bigues, Juan José López Gómez
    Nutrición Hospitalaria.2024;[Epub]     CrossRef
  • Association between healthy lifestyle and frailty in adults and mediating role of weight-adjusted waist index: results from NHANES
    Shibo Liu, Xiangjun Pan, Bo Chen, Dapeng Zeng, Shenghao Xu, Ruiyan Li, Xiongfeng Tang, Yanguo Qin
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Weight-adjusted waist index is positively and linearly associated with all-cause and cardiovascular mortality in metabolic dysfunction-associated steatotic liver disease: findings from NHANES 1999-2018
    Weijie Liu, Xiulin Yang, Ting Zhan, Min Huang, Xiaorong Tian, Xia Tian, Xiaodong Huang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults
    Jin Eui Kim, Jimi Choi, Miji Kim, Chang Won Won
    British Journal of Nutrition.2023; 129(5): 875.     CrossRef
  • Relationship Between Weight-Adjusted Waist Index and Osteoporosis in the Senile in the United States from the National Health and Nutrition Examination Survey, 2017-2020
    Yuxiang Lin, Zijie Liang, Anxin Zhang, Nuo Xu, Xuewen Pei, Nanbu Wang, Liang Zheng, Danghan Xu
    Journal of Clinical Densitometry.2023; 26(2): 101361.     CrossRef
  • The association of asthma duration with body mass index and Weight-Adjusted-Waist index in a nationwide study of the U.S. adults
    Xiaoxiao Han, Xiaofang He, Gui Hao, Lifang Cao, Yinliang Qi, Kexing Han
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Relationship between weight-adjusted-waist index and erectile dysfunction in the United State: results from NHANES 2001-2004
    Shangqi Cao, Xu Hu, Yanxiang Shao, Yaohui Wang, Yaxiong Tang, Shangqing Ren, Xiang Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and total bone mineral density in adolescents: NHANES 2011–2018
    Xiaohua Wang, Shuo Yang, Gansheng He, Lin Xie
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Asthma prevalence is increased in patients with high metabolism scores for visceral fat: study reports from the US
    Qiushi Liu, Xiaoxiao Han, Yan Chen, Ying Gao, Wei Yang, Lewei Huang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Positive association between weight-adjusted-waist index and dementia in the Chinese population with hypertension: a cross-sectional study
    Wei Zhou, Yanyou Xie, Lingling Yu, Chao Yu, Huihui Bao, Xiaoshu Cheng
    BMC Psychiatry.2023;[Epub]     CrossRef
  • Associations between weight-adjusted waist index and bone mineral density: results of a nationwide survey
    Ya Zhang, Haiyang Wu, Cheng Li, Changxiong Liu, Mingjiang Liu, Xiaozhu Liu, Qiming Yin, Xianzhe Li, Ruijie Xie
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • Association of weight-adjusted-waist index with non-alcoholic fatty liver disease and liver fibrosis: a cross-sectional study based on NHANES
    Qinggang Hu, Kexing Han, Jiapei Shen, Weijie Sun, Long Gao, Yufeng Gao
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Weight‐adjusted waist as an integrated index for fat, muscle and bone health in adults
    Kyoung Jin Kim, Serhim Son, Kyeong Jin Kim, Sin Gon Kim, Nam Hoon Kim
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(5): 2196.     CrossRef
  • Association between weight-adjusted-waist index and female infertility: a population-based study
    Zujun Wen, Xiang Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and risk of cardiovascular diseases in United States adults: a cross-sectional study
    Haiyang Fang, Feng Xie, Kai Li, Meng Li, Yanqing Wu
    BMC Cardiovascular Disorders.2023;[Epub]     CrossRef
  • Association between the weight-adjusted waist index and stroke: a cross-sectional study
    Jiayi Ye, Yanjie Hu, Xinrong Chen, Zhe Yin, Xingzhu Yuan, Liping Huang, Ka Li
    BMC Public Health.2023;[Epub]     CrossRef
  • Association between weight-adjusted-waist index and chronic kidney disease: a cross-sectional study
    Xiaowan Li, Lanyu Wang, Hongyi Zhou, Hongyang Xu
    BMC Nephrology.2023;[Epub]     CrossRef
  • Sex Differences in the Association of Weight-Adjusted-Waist Index with Sarcopenic Obesity: A Cross-Sectional Study of Hemodialysis Patients
    Maolu Tian, Qin Lan, Fangfang Yu, Pinghong He, Shanshan Hu, Yan Zha
    Metabolic Syndrome and Related Disorders.2023; 21(10): 596.     CrossRef
  • Lean or Non-obese Nonalcoholic Fatty Liver Disease Patients: Are They Really Lean?
    Eugene Han, Yong-ho Lee
    Clinical and Molecular Hepatology.2023; 29(4): 980.     CrossRef
  • The association of body mass index and weight waist adjustment index with serum ferritin in a national study of US adults
    Hao Han, Ping Ni, Siqi Zhang, Xiaojuan Ji, Mingli Zhu, Wanyu Ma, Hongfeng Ge, Hailiang Chu
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • The weight-adjusted-waist index and cognitive impairment among U.S. older adults: a population-based study
    Xiao-tong Huang, Xiang Lv, Hong Jiang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The relationship between weight-adjusted-waist index and total bone mineral density in adults aged 20-59
    Meiqian Guo, Yi Lei, Xueqing Liu, Xiang Li, Yong Xu, Donghui Zheng
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Associations between weight-adjusted-waist index and infertility: Results from NHANES 2013 to 2020
    Huanxin Zhong, Bin Yu, Fen Zhao, Hongyin Cui, Lifang You, Dao Feng, Yi Lu
    Medicine.2023; 102(48): e36388.     CrossRef
  • The association between weight-adjusted-waist index and increased urinary albumin excretion in adults: A population-based study
    Zheng Qin, Kaixi Chang, Qinbo Yang, Qiao Yu, Ruoxi Liao, Baihai Su
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Association between the weight-adjusted-waist index and abdominal aortic calcification in United States adults: Results from the national health and nutrition examination survey 2013–2014
    Feng Xie, Yuan Xiao, Xiaozhong Li, Yanqing Wu
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • The association between weight-adjusted-waist index and abdominal aortic calcification in adults aged ≥ 40 years: results from NHANES 2013–2014
    Zheng Qin, Dongru Du, Yupei Li, Kaixi Chang, Qinbo Yang, Zhuyun Zhang, Ruoxi Liao, Baihai Su
    Scientific Reports.2022;[Epub]     CrossRef
Pathophysiology
Article image
Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
Nam Hoon Kim, Nan Hee Kim
Diabetes Metab J. 2022;46(4):543-551.   Published online July 27, 2022
DOI: https://doi.org/10.4093/dmj.2022.0209
  • 8,361 View
  • 791 Download
  • 14 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   ePub   
Diabetic kidney disease (DKD) is a prevalent renal complication of diabetes mellitus that ultimately develops into end-stage kidney disease (ESKD) when not managed appropriately. Substantial risk of ESKD remains even with intensive management of hyperglycemia and risk factors of DKD and timely use of renin-angiotensin-aldosterone inhibitors. Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce hyperglycemia primarily by inhibiting glucose and sodium reabsorption in the renal proximal tubule. Currently, their effects expand to prevent or delay cardiovascular and renal adverse events, even in those without diabetes. In dedicated renal outcome trials, SGLT2 inhibitors significantly reduced the risk of composite renal adverse events, including the development of ESKD or renal replacement therapy, which led to the positioning of SGLT2 inhibitors as the mainstay of chronic kidney disease management. Multiple mechanisms of action of SGLT2 inhibitors, including hemodynamic, metabolic, and anti-inflammatory effects, have been proposed. Restoration of tubuloglomerular feedback is a plausible explanation for the alteration in renal hemodynamics induced by SGLT2 inhibition and for the associated renal benefit. This review discusses the clinical rationale and mechanism related to the protection SGLT2 inhibitors exert on the kidney, focusing on renal hemodynamic effects.

Citations

Citations to this article as recorded by  
  • Using intravoxel incoherent motion imaging to evaluate uric acid-induced renal injury and efficacy after treatment
    Zhong-Yuan Cheng, Shang-Ao Gong, Ping-Kang Chen, Zong-Chao Yu, Chen Qiu, Ji-Xin Lin, Jia-Bin Mo, Long Qian, You-Zhen Feng, Xiang-Ran Cai
    British Journal of Radiology.2024; 97(1153): 274.     CrossRef
  • Rethinking eGFR Comparisons in SGLT2 Inhibitor Research
    Yuzuru Ohshiro
    Journal of the American College of Cardiology.2024; 83(9): e87.     CrossRef
  • SGLT2 Inhibitors and Diabetes: Where Does It Come from and Where Does It Go?
    Ji Yoon Kim, Sin Gon Kim
    The Journal of Korean Diabetes.2024; 25(1): 9.     CrossRef
  • Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
    Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(7): 2567.     CrossRef
  • Dapagliflozin treatment in patients with chronic kidney disease associated with autosomal dominant polycystic kidney disease
    Masatoshi Yoshimoto, Akinari Sekine, Tatsuya Suwabe, Yuki Oba, Hiroki Mizuno, Masayuki Yamanouchi, Yoshifumi Ubara, Junichi Hoshino, Noriko Inoue, Kiho Tanaka, Eiko Hasegawa, Naoki Sawa, Takehiko Wada
    Clinical Kidney Journal.2024;[Epub]     CrossRef
  • A new perspective on proteinuria and drug therapy for diabetic kidney disease
    Ruimin Zhang, Qian Wang, Yaqing Li, Qihu Li, Xuefeng Zhou, Xiangmei Chen, Zheyi Dong
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • SGLT2 Inhibitor Use and Risk of Dementia and Parkinson Disease Among Patients With Type 2 Diabetes
    Hae Kyung Kim, Geert Jan Biessels, Min Heui Yu, Namki Hong, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Eun Jig Lee, Minyoung Lee
    Neurology.2024;[Epub]     CrossRef
  • Baseline eGFR, albuminuria and renal outcomes in patients with SGLT2 inhibitor treatment: an updated meta-analysis
    Yunke Ma, Chu Lin, Xiaoling Cai, Suiyuan Hu, Xingyun Zhu, Fang Lv, Wenjia Yang, Linong Ji
    Acta Diabetologica.2023; 60(3): 435.     CrossRef
  • Effects of sodium-glucose cotransporter 2 inhibitors on renal risk factors in patients with abnormal glucose metabolism: a meta-analysis of randomized controlled trials
    Mengnan Li, Jian Zhang, Guimei Yang, Jiaxin Zhang, Minmin Han, Yi Zhang, Yunfeng Liu
    European Journal of Clinical Pharmacology.2023; 79(6): 859.     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
  • Exposure–Response Analysis of the Sodium–Glucose Cotransporter-2 Inhibitors Dapagliflozin and Empagliflozin on Kidney Hemodynamics in Patients with Type 2 Diabetes
    Sjoukje van der Hoek, Jeroen V. Koomen, Erik J. M. van Bommel, Charlotte M. Mosterd, Rosalie A. Scholtes, Anne C. Hesp, Jasper Stevens, Daniel H. van Raalte, Hiddo J. L. Heerspink
    Journal of Personalized Medicine.2023; 13(5): 747.     CrossRef
  • Osteopontin as a Biomarker in Chronic Kidney Disease
    Satyesh K. Sinha, Michael Mellody, Maria Beatriz Carpio, Robert Damoiseaux, Susanne B. Nicholas
    Biomedicines.2023; 11(5): 1356.     CrossRef
  • Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
    Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
    Metabolism.2023; 145: 155612.     CrossRef
  • Synthesis and biological profile of benzoxazolone derivatives
    Parteek Prasher, Tanisqa Mall, Mousmee Sharma
    Archiv der Pharmazie.2023;[Epub]     CrossRef
  • SGLT2 inhibitors prevent LPS-induced M1 macrophage polarization and alleviate inflammatory bowel disease by downregulating NHE1 expression
    Ye Jin Kim, Jonghwa Jin, Dong-Ho Kim, Daehoon Kim, You Mie Lee, Jun-Kyu Byun, Yeon-Kyung Choi, Keun-Gyu Park
    Inflammation Research.2023; 72(10-11): 1981.     CrossRef
  • Potential Antidiabetic Compounds from Anogeissus leiocarpus: Molecular Docking, Molecular Dynamic Simulation, and ADMET Studies
    Mubarak Muhammad Dahiru, Neksumi Musa, AbdulAzeez Mumsiri Abaka, Maimuna Abdulrahman Abubakar
    Borneo Journal of Pharmacy.2023; 6(3): 249.     CrossRef
Guideline/Fact Sheet
Article image
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim, Sang Youl Rhee, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim, Chong Hwa Kim, Dae Jung Kim, SungWan Chun, Eun-Jung Rhee, Hyun Min Kim, Hyun Jung Kim, Donghyun Jee, Jae Hyun Kim, Won Seok Choi, Eun-Young Lee, Kun-Ho Yoon, Seung-Hyun Ko, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2021;45(4):461-481.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0156
  • 27,779 View
  • 1,710 Download
  • 142 Web of Science
  • 157 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The Committee of Clinical Practice Guidelines of the Korean Diabetes Association (KDA) updated the previous clinical practice guidelines for Korean adults with diabetes and prediabetes and published the seventh edition in May 2021. We performed a comprehensive systematic review of recent clinical trials and evidence that could be applicable in real-world practice and suitable for the Korean population. The guideline is provided for all healthcare providers including physicians, diabetes experts, and certified diabetes educators across the country who manage patients with diabetes or the individuals at the risk of developing diabetes mellitus. The recommendations for screening diabetes and glucose-lowering agents have been revised and updated. New sections for continuous glucose monitoring, insulin pump use, and non-alcoholic fatty liver disease in patients with diabetes mellitus have been added. The KDA recommends active vaccination for coronavirus disease 2019 in patients with diabetes during the pandemic. An abridgement that contains practical information for patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Physical stimuli-responsive polymeric patches for healthcare
    Yifan Cheng, Yuan Lu
    Bioactive Materials.2025; 43: 342.     CrossRef
  • Impact of Subclinical Atrial Function on the Prognosis of Patients With Atrial Fibrillation and Metabolic Syndrome
    Hyun-Jin Kim
    CardioMetabolic Syndrome Journal.2024; 4(1): 36.     CrossRef
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • A Multicenter, Randomized, Open-Label Study to Compare the Effects of Gemigliptin Add-on or Escalation of Metformin Dose on Glycemic Control and Safety in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Treated with Metformin and SGLT-2 Inh
    Hae Jin Kim, Jung Hyun Noh, Min Kyong Moon, Sung Hee Choi, Seung-Hyun Ko, Eun-Jung Rhee, Kyu Yeon Hur, In-Kyung Jeong, Mark Yorek
    Journal of Diabetes Research.2024; 2024: 1.     CrossRef
  • Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
    Diabetes Therapy.2024; 15(2): 547.     CrossRef
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024; 26(6): 394.     CrossRef
  • Association between Dyslipidemia and Glycated Hemoglobin in a Population-Based Study
    Purum Kang, Ka Young Kim, Hye Young Shin
    Metabolites.2024; 14(2): 92.     CrossRef
  • Outcomes of Various Classes of Oral Antidiabetic Drugs on Nonalcoholic Fatty Liver Disease
    Heejoon Jang, Yeonjin Kim, Dong Hyeon Lee, Sae Kyung Joo, Bo Kyung Koo, Soo Lim, Woojoo Lee, Won Kim
    JAMA Internal Medicine.2024; 184(4): 375.     CrossRef
  • Effect of Pravastatin on Kidney Function in Patients with Dyslipidemia and Type 2 Diabetes Mellitus: A Multicenter Prospective Observational Study
    Hae Jin Kim, Kyu Yeon Hur, Yong-Ho Lee, Jin Taek Kim, Yong-Kyu Lee, Ki-Hyun Baek, Euy Jin Choi, Won Min Hwang, Ki Tae Bang, Jung Soo Lim, Yun Jae Chung, Sung Rae Jo, Joon Seok Oh, Soon Hee Lee, Seung-Hyun Ko, Sung Hee Choi
    Advances in Therapy.2024; 41(8): 3119.     CrossRef
  • Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey
    Jin Yu, Oyoung Kim, Byung Soo Kang, Seon Ui Lee, Youn Ju Lee, Han Sung Hwang, Seung Mi Lee, Seung Chul Kim, Yoon-Hee Choi, Hyun Sun Ko
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • View on Metformin: Antidiabetic and Pleiotropic Effects, Pharmacokinetics, Side Effects, and Sex-Related Differences
    Guglielmina Froldi
    Pharmaceuticals.2024; 17(4): 478.     CrossRef
  • Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1235.     CrossRef
  • Inhibition of sodium-glucose cotransporter-2 and liver-related complications in individuals with diabetes: a Mendelian randomization and population-based cohort study
    Sung Won Chung, Hye-Sung Moon, Hyunjae Shin, Hyein Han, Sehoon Park, Heejin Cho, Jeayeon Park, Moon Haeng Hur, Min Kyung Park, Sung-Ho Won, Yun Bin Lee, Eun Ju Cho, Su Jong Yu, Dong Ki Kim, Jung-Hwan Yoon, Jeong-Hoon Lee, Yoon Jun Kim
    Hepatology.2024;[Epub]     CrossRef
  • Health and Productivity Benefits with Early Intensified Treatment in Patients with Type 2 Diabetes: Results from Korea
    Foteini Tsotra, Ankur Malhotra, Platon Peristeris, Ioannis Athanasiou, Malina Müller, Giovanni Bader
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024; 26(9): 3642.     CrossRef
  • Diagnostic performance of non-invasive tests in patients with MetALD in a health check-up cohort
    Joo Hyun Oh, Sang Bong Ahn, Seon Cho, Eun-Hee Nah, Eileen L. Yoon, Dae Won Jun
    Journal of Hepatology.2024;[Epub]     CrossRef
  • Age-specific association between meal-skipping patterns and the risk of hyperglycemia in Korean adults: a national cross-sectional study using the KNHANES data
    Yeonji Kang, Minji Kang, Hyunjung Lim
    BMC Public Health.2024;[Epub]     CrossRef
  • Assessment of the information provided by ChatGPT regarding exercise for patients with type 2 diabetes: a pilot study
    Seung Min Chung, Min Cheol Chang
    BMJ Health & Care Informatics.2024; 31(1): e101006.     CrossRef
  • Islet transplantation in Korea
    Joonyub Lee, Kun‐Ho Yoon
    Journal of Diabetes Investigation.2024; 15(9): 1165.     CrossRef
  • Serum Homocysteine Levels and All-Cause and Cause-Specific Mortality in Korean Adult Men: A Cohort Study
    Minyoung Kim, Sujeong Shin, Eunsol Yoo, Jae-Heon Kang, Eunju Sung, Cheol-Hwan Kim, Hocheol Shin, Mi Yeon Lee
    Nutrients.2024; 16(16): 2759.     CrossRef
  • Recent Findings on Exercise Therapy for Blood Glucose Management in Patients with Gestational Diabetes
    Ah Reum Jung, Yongsuk Seo, Jooyoung Lee, Jae Gu Hwang, Somi Yun, Dae Taek Lee
    Journal of Clinical Medicine.2024; 13(17): 5004.     CrossRef
  • Myosteatosis Predicts Bariatric Surgery Response: A Longitudinal Study in Patients With Morbid Obesity
    Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Efficacy and safety of dapagliflozin add‐on to evogliptin plus metformin therapy in patients with type 2 diabetes: A randomized, double‐blind, placebo‐controlled study
    In‐Kyung Jeong, Kyung Mook Choi, Kyung Ah Han, Kyoung‐Ah Kim, In Joo Kim, Seung Jin Han, Won Young Lee, Soon Jib Yoo
    Diabetes, Obesity and Metabolism.2024; 26(11): 5065.     CrossRef
  • Long-Term Glycemic Control Improvement After the Home and Self-Care Program for Patients With Type 1 Diabetes: Real-World–Based Cohort Study
    Dae-Jeong Koo, Sun-Joon Moon, Suhyeon Moon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Cheol-Young Park
    Journal of Medical Internet Research.2024; 26: e60023.     CrossRef
  • Analytical performance evaluation of the GreenCare A1c and Cera-Stat HbA1c point-of-care testing assays
    Joon Hee Lee, Sun-Hee Jun, Jikyo Lee, Sang Hoon Song, Kyunghoon Lee
    Annals of Clinical Biochemistry: International Journal of Laboratory Medicine.2024;[Epub]     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
  • Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
    Sang-Yong Kim, Sungrae Kim
    Diabetes Therapy.2023; 14(1): 109.     CrossRef
  • Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
    Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173.     CrossRef
  • Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
    Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
    The Korean Journal of Internal Medicine.2023; 38(1): 93.     CrossRef
  • Justicia carnea extracts ameliorated hepatocellular damage in streptozotocin-induced type 1 diabetic male rats via decrease in oxidative stress, inflammation and increasing other risk markers
    John Adeolu Falode, Oluwaseun Igbekele Ajayi, Tolulope Victoria Isinkaye, Akinwunmi Oluwaseun Adeoye, Basiru Olaitan Ajiboye, Bartholomew I. C. Brai
    Biomarkers.2023; 28(2): 177.     CrossRef
  • Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
    Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
    International Journal of Infectious Diseases.2023; 127: 1.     CrossRef
  • The Predictive Ability of C-Peptide in Distinguishing Type 1 Diabetes From Type 2 Diabetes: A Systematic Review and Meta-Analysis
    Sajid Iqbal, Abdulrahim Abu Jayyab, Ayah Mohammad Alrashdi, Silvia Reverté-Villarroya
    Endocrine Practice.2023; 29(5): 379.     CrossRef
  • Anagliptin twice‐daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double‐blind, randomized controlled trial
    Yong‐ho Lee, Doo‐Man Kim, Jae Myung Yu, Kyung Mook Choi, Sin Gon Kim, Kang Seo Park, Hyun‐Shik Son, Choon Hee Chung, Kyu Jeung Ahn, Soon Hee Lee, Ki‐Ho Song, Su Kyoung Kwon, Hyeong Kyu Park, Kyu Chang Won, Hak Chul Jang
    Diabetes, Obesity and Metabolism.2023; 25(5): 1174.     CrossRef
  • Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes
    Xiaomin Fu, Yuhan Wang, Ryan S. Cates, Nan Li, Jing Liu, Dianshan Ke, Jinghua Liu, Hongzhou Liu, Shuangtong Yan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-world Data Study
    Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek
    Diabetes & Metabolism Journal.2023; 47(1): 135.     CrossRef
  • Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
    Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
    Diabetes & Metabolism Journal.2023; 47(1): 82.     CrossRef
  • Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    International Journal of Heart Failure.2023; 5(1): 1.     CrossRef
  • Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database
    Dong-Hwa Lee, Bumhee Yang, Seonhye Gu, Eung-Gook Kim, Youlim Kim, Hyung Koo Kang, Yeong Hun Choe, Hyun Jeong Jeon, Seungyong Park, Hyun Lee
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
    Ji Yoon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 42.     CrossRef
  • Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 10.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Association between Low-Density Lipoprotein Cholesterol Level and Cardiovascular Outcomes in Korean Adults: A Nationwide Cohort Study
    Junghyun Noh, Min Kyong Moon, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 59.     CrossRef
  • Analysis of the Incidence of Type 2 Diabetes, Requirement of Insulin Treatment, and Diabetes-Related Complications among Patients with Cancer
    Su Jung Lee, Chulho Kim, Hyunjae Yu, Dong-Kyu Kim
    Cancers.2023; 15(4): 1094.     CrossRef
  • The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension
    Hack-Lyoung Kim, Eun Mi Lee, Shin Young Ahn, Kwang-il Kim, Hyeon Chang Kim, Ju Han Kim, Hae-Young Lee, Jang Hoon Lee, Jong-Moo Park, Eun Joo Cho, Sungha Park, Jinho Shin, Young-Kwon Kim
    Clinical Hypertension.2023;[Epub]     CrossRef
  • Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes
    DaeEun Lee, Haejung Lee, Sangeun Lee, MinJin Lee, Ah Reum Khang
    Journal of Korean Biological Nursing Science.2023; 25(1): 20.     CrossRef
  • Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
    Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
  • Effect of olmesartan and amlodipine on serum angiotensin-(1–7) levels and kidney and vascular function in patients with type 2 diabetes and hypertension
    Kyuho Kim, Ji Hye Moon, Chang Ho Ahn, Soo Lim
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Menopausal hormone therapy and the risk of type 2 diabetes mellitus: Health Insurance Database in South Korea–based retrospective cohort study
    Jin-Sung Yuk, Jung Min Kim
    Menopause.2023; 30(5): 497.     CrossRef
  • Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus
    Takayoshi Sasako, Toshimasa Yamauchi, Kohjiro Ueki
    Diabetes & Metabolism Journal.2023; 47(2): 185.     CrossRef
  • Association between antidiabetic drugs and the incidence of atrial fibrillation in patients with type 2 diabetes: A nationwide cohort study in South Korea
    Sunyoung Kim, So Young Park, Bongseong Kim, Chanyang Min, Wonyoung Cho, Dong Keon Yon, Joo Young Kim, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee, Sang Youl Rhee
    Diabetes Research and Clinical Practice.2023; 198: 110626.     CrossRef
  • Totally robotic Roux-en-Y gastric bypass in a morbidly obese patient in Korea: a case report
    Ji Won Seo, Kyong-Hwa Jun
    Journal of Minimally Invasive Surgery.2023; 26(1): 40.     CrossRef
  • Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients
    Jihye Tak, Minkyung Bok, Hyunkyung Rho, Ju Hyun Park, Yunsook Lim, Suk Chon, Hyunjung Lim
    Nutrition Research and Practice.2023; 17(2): 241.     CrossRef
  • Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes
    Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
    Diabetes Care.2023; 46(3): 535.     CrossRef
  • Efficacy and safety of enavogliflozin, a novel SGLT2 inhibitor, in Korean people with type 2 diabetes: A 24‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase III trial
    Soo Heon Kwak, Kyung Ah Han, Kyung‐Soo Kim, Jae Myung Yu, EunSook Kim, Jong Chul Won, Jun Goo Kang, Choon Hee Chung, Seungjoon Oh, Sung Hee Choi, Kyu Chang Won, Sin Gon Kim, Seung Ah Cho, Bo Young Cho, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(7): 1865.     CrossRef
  • Adjusting the Use of Glucose-Lowering Agents in the Real-World Clinical Management of People with Type 2 Diabetes: A Narrative Review
    Siew Pheng Chan, Lee-Ling Lim, Juliana C. N. Chan, David R. Matthews
    Diabetes Therapy.2023; 14(5): 823.     CrossRef
  • The association of perfluoroalkyl substances (PFAS) exposure and kidney function in Korean adolescents using data from Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018–2020): a cross-sectional study
    Jisuk Yun, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Yong-Jin Lee
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • A Comparison of the Pharmacokinetics and Safety of Dapagliflozin Formate, an Ester Prodrug of Dapagliflozin, to Dapagliflozin Propanediol Monohydrate in Healthy Subjects
    Hyun Chul Kim, Sangmi Lee, Siyoung Sung, Eunjin Kim, In-Jin Jang, Jae-Yong Chung
    Drug Design, Development and Therapy.2023; Volume 17: 1203.     CrossRef
  • Efficacy and safety of monotherapy with enavogliflozin in Korean patients with type 2 diabetes mellitus: Results of a 12‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase 2 trial
    Ye Seul Yang, Kyung Wan Min, Seok‐O Park, Kyung‐Soo Kim, Jae Myung Yu, Eun‐Gyoung Hong, Sung Rae Cho, Kyu Chang Won, Yong Hyun Kim, Seungjoon Oh, Sung Hee Choi, Gwanpyo Koh, Wan Huh, Su Young Kim, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(8): 2096.     CrossRef
  • An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial
    You-Bin Lee, Gyuri Kim, Ji Eun Jun, Hyunjin Park, Woo Je Lee, You-Cheol Hwang, Jae Hyeon Kim
    Diabetes Care.2023; 46(5): 959.     CrossRef
  • Performance of Simple Fibrosis Score in Non-Alcoholic Fatty Liver Disease with and without Type 2 Diabetes
    Seung Min Chung, Min Kyu Kang, Jun Sung Moon, Jung Gil Park
    Endocrinology and Metabolism.2023; 38(2): 277.     CrossRef
  • Correlation analysis of cancer incidence after pravastatin treatment
    Jin Yu, Raeun Kim, Jiwon Shinn, Man Young Park, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 61.     CrossRef
  • Comparison of the effects of gemigliptin versus glimepiride on cardiac function in patients with type 2 diabetes uncontrolled with metformin: The gemi‐heart study
    Seung Min Chung, Jun Sung Moon, Jun Hwa Hong, In‐Chang Hwang, Soo Lim
    Diabetes, Obesity and Metabolism.2023; 25(8): 2181.     CrossRef
  • The era of continuous glucose monitoring and its expanded role in type 2 diabetes
    Jin Yu, Jae‐Hyoung Cho, Seung‐Hwan Lee
    Journal of Diabetes Investigation.2023; 14(7): 841.     CrossRef
  • Impact of continuous glucose monitoring on glycemic control and its derived metrics in type 1 diabetes: a longitudinal study
    So Hyun Cho, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Asia-Pacific consensus recommendations for application of continuous glucose monitoring in diabetes management
    Alice P.S. Kong, Soo Lim, Seung-Hyun Yoo, Linong Ji, Liming Chen, Yuqian Bao, Ester Yeoh, Siew-Pheng Chan, Chih-Yuan Wang, Viswanathan Mohan, Neale Cohen, Margaret J. McGill, Stephen M. Twigg
    Diabetes Research and Clinical Practice.2023; 201: 110718.     CrossRef
  • Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
    Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
    BMC Public Health.2023;[Epub]     CrossRef
  • Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017
    Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(3): 347.     CrossRef
  • Opening the Precision Diabetes Care through Digital Healthcare
    Joonyub Lee, Jin Yu, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(3): 307.     CrossRef
  • Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study
    You-Bin Lee, Minjee Kim, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(3): 405.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • Lost in translation: assessing the nomenclature change for diabetic kidney disease in Japan
    Tetsuya Babazono, Tatsumi Moriya
    Diabetology International.2023; 14(4): 319.     CrossRef
  • Effects of dapagliflozin compared with glimepiride on body composition in Asian patients with type 2 diabetes inadequately controlled with metformin: The BEYOND study
    Hyeong Kyu Park, Kyoung‐Ah Kim, Kyung‐Wan Min, Tae‐Seo Sohn, In Kyung Jeong, Chul Woo Ahn, Nan‐Hee Kim, Ie Byung Park, Ho Chan Cho, Choon Hee Chung, Sung Hee Choi, Kang Seo Park, Seoung‐Oh Yang, Kwan Woo Lee
    Diabetes, Obesity and Metabolism.2023; 25(9): 2743.     CrossRef
  • Topic Modeling Analysis of Diabetes-Related Health Information during the Coronavirus Disease Pandemic
    Soyoon Min, Jeongwon Han
    Healthcare.2023; 11(13): 1871.     CrossRef
  • Screening Test for Evaluation of Cardiovascular Disease in Patients with Diabetes
    Ji-Oh Mok, Chan-Hee Jung
    The Journal of Korean Diabetes.2023; 24(2): 76.     CrossRef
  • Paradigm Shift in Management of Hyperglycemia in Patients with Type 2 Diabetes: Glucocentric versus Organ Protection
    Jong Chul Won
    The Journal of Korean Diabetes.2023; 24(2): 59.     CrossRef
  • Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
    You Lee Yang, Eun-Ok Im, Yunmi Kim
    BMC Nursing.2023;[Epub]     CrossRef
  • Fibrotic Burden in the Liver Differs Across Metabolic Dysfunction-Associated Fatty Liver Disease Subtypes
    Tae Seop Lim, Ho Soo Chun, Soon Sun Kim, Ja Kyung Kim, Minjong Lee, Hyo Jung Cho, Seung Up Kim, Jae Youn Cheong
    Gut and Liver.2023; 17(4): 610.     CrossRef
  • Association between the number of pregnancies and cardiac target organ damages: a cross-sectional analysis of data from the Korean women’s chest pain registry (KoROSE)
    Hack-Lyoung Kim, Hyun-Jin Kim, Mina Kim, Sang Min Park, Hyun Ju Yoon, Young Sup Byun, Seong-Mi Park, Mi-Seung Shin, Kyung-Soon Hong, Myung-A Kim
    BMC Women's Health.2023;[Epub]     CrossRef
  • Exercise therapy for diabetes mellitus
    Chaiho Jeong, Tae-Seo Sohn
    Journal of the Korean Medical Association.2023; 66(7): 427.     CrossRef
  • Medical nutrition therapy for diabetes mellitus
    Suk Chon
    Journal of the Korean Medical Association.2023; 66(7): 421.     CrossRef
  • Identification of individuals at risk of hepatocellular carcinoma: screening for clinically significant liver fibrosis in patients with T2DM
    Tina Reinson, Ryan M Buchanan, Christopher D Byrne
    Expert Review of Endocrinology & Metabolism.2023; 18(5): 355.     CrossRef
  • Additive impact of diabetes and sarcopenia on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
    Eyun Song, Soon Young Hwang, Min Jeong Park, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi
    Metabolism.2023; 148: 155678.     CrossRef
  • Exposure to perfluoroalkyl and polyfluoroalkyl substances and risk of stroke in adults: a meta-analysis
    Min Cheol Chang, Seung Min Chung, Sang Gyu Kwak
    Reviews on Environmental Health.2023;[Epub]     CrossRef
  • Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
    Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
    Endocrinology and Metabolism.2023; 38(4): 426.     CrossRef
  • Incident infection risks depending on oral antidiabetic exposure in insulin-treated type 2 diabetes patients
    Sanghwa Park, Jiseon Jeong, Yunna Woo, Yeo Jin Choi, Sooyoung Shin
    Scientific Reports.2023;[Epub]     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2023; 12(3): 237.     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-the-Art Review
    Wah-Kheong Chan, Kee-Huat Chuah, Ruveena Bhavani Rajaram, Lee-Ling Lim, Jeyakantha Ratnasingam, Shireene Ratna Vethakkan
    Journal of Obesity & Metabolic Syndrome.2023; 32(3): 197.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(5): 632.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • Riesgo residual. Conclusiones
    Ángel Cequier, José Luis Zamorano
    Revista Española de Cardiología Suplementos.2023; 23: 25.     CrossRef
  • Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey
    Eunju Yoon, Ji Cheol Bae, Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 538.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
  • Coleus forskohlii Root Extract (ForcslimTM) as a Prospective Antidiabetic Agent: In vitro Glucose Uptake Stimulation and α-Amylase Inhibitory Effects
    Firoz Hirehal Hussain Mi, Channangihalli Thimmegowda Sadashiva, Neethumol Benny, Sreedrisya Ayippakkari Kuttiattu, Ravi Subban
    International Journal of Pharmacology.2023; 19(5): 730.     CrossRef
  • Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
    Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(6): 837.     CrossRef
  • Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
    Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2023; 47(6): 846.     CrossRef
  • Strategies to Maintain the Remission of Diabetes Following Metabolic Surgery
    Mi Kyung Kim, Hye Soon Kim
    Journal of Metabolic and Bariatric Surgery.2023; 12(2): 26.     CrossRef
  • Information and Communications Technology (ICT)-based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis based on ICT-CM Trial Results (Preprint)
    Sung-Hee Oh, Jae-Heon Kang, Jin-Won Kwon
    Journal of Medical Internet Research.2023;[Epub]     CrossRef
  • East Asian perspectives in metabolic and bariatric surgery
    Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
    Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
    Endocrinology and Metabolism.2022; 37(1): 26.     CrossRef
  • Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
    Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2022; 19(6): 3280.     CrossRef
  • Effectiveness and safety of teneligliptin added to patients with type 2 diabetes inadequately controlled by oral triple combination therapy: A multicentre, randomized, double‐blind, and placebo‐controlled study
    Minyoung Lee, Woo‐je Lee, Jae Hyeon Kim, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2022; 24(6): 1105.     CrossRef
  • Trends of severe hypoglycemia in patients with type 2 diabetes in Korea: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(8): 1438.     CrossRef
  • GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
    Ji Hee Yu, So Young Park, Da Young Lee, Nan Hee Kim, Ji A Seo
    Kidney Research and Clinical Practice.2022; 41(2): 136.     CrossRef
  • Cardiorenal Risk Profiles Among Data-Driven Type 2 Diabetes Sub-Phenotypes: A Post-Hoc Analysis of the China Health and Nutrition Survey
    Hui Gao, Kan Wang, Wensui Zhao, Jianlin Zhuang, Yu Jiang, Lei Zhang, Qingping Liu, Fariba Ahmadizar
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Individualized Medical Nutrition Therapy for Diabetic Patients according to Diabetes Medication
    Juyeon Park
    The Journal of Korean Diabetes.2022; 23(1): 50.     CrossRef
  • Critical shear stress of red blood cells as a novel integrated biomarker for screening chronic kidney diseases in cases of type 2 diabetes
    Il Rae Park, Jimi Choi, Eun Young Ha, Seung Min Chung, Jun Sung Moon, Sehyun Shin, Sin Gon Kim, Kyu Chang Won
    Clinical Hemorheology and Microcirculation.2022; 81(4): 293.     CrossRef
  • Effects of exercise on reducing diabetes risk in Korean women according to menopausal status
    Jung-Hwan Cho, Hye-Mi Kwon, Se-Eun Park, Ju-Hwan Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(2): 75.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Free Versus Fixed-Ratio Combination of Basal Insulin and GLP-1 Receptor Agonists in Type 2 Diabetes Uncontrolled With GLP-1 Receptor Agonists: A Systematic Review and Indirect Treatment Comparison
    Han Na Jung, Yun Kyung Cho, Se Hee Min, Hwi Seung Kim, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Obesity, hypertension, diabetes mellitus, and hypercholesterolemia in Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
    Ga Bin Lee, Yoonjung Kim, Suyeon Park, Hyeon Chang Kim, Kyungwon Oh
    Epidemiology and Health.2022; 44: e2022041.     CrossRef
  • Adherence to healthy lifestyle behaviors as a preventable risk factor for severe hypoglycemia in people with type 2 diabetes: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Yong‐Moon Park, Eugene Han, Yong‐ho Lee, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(9): 1533.     CrossRef
  • Diabetes Fact Sheet in Korea 2021
    Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won
    Diabetes & Metabolism Journal.2022; 46(3): 417.     CrossRef
  • Comprehensive Understanding for Application in Korean Patients with Type 2 Diabetes Mellitus of the Consensus Statement on Carbohydrate-Restricted Diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hyperte
    Jong Han Choi, Jee-Hyun Kang, Suk Chon
    Diabetes & Metabolism Journal.2022; 46(3): 377.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Diabetes & Metabolism Journal.2022; 46(3): 355.     CrossRef
  • Effect of carbohydrate-restricted diets and intermittent fasting on obesity, type 2 diabetes mellitus, and hypertension management: consensus statement of the Korean Society for the Study of obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy
    Youngsook Kim, Ji Hye Huh, Minyoung Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
    Giwoong Choi, Hojun Yoon, Hyun Ho Choi, Kyoung Hwa Ha, Dae Jung Kim
    Age and Ageing.2022;[Epub]     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Extra-Glycemic Effects of Anti-Diabetic Medications: Two Birds with One Stone?
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(3): 415.     CrossRef
  • Pharmacological Treatment of Nonalcoholic Fatty Liver Disease: Antidiabetic Agents
    Kyung-Soo Kim
    The Journal of Korean Diabetes.2022; 23(2): 83.     CrossRef
  • Maintaining Physical Activity Is Associated with Reduced Major Adverse Cardiovascular Events in People Newly Diagnosed with Diabetes
    Duhoe Kim, Jaehun Seo, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 187.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 100.     CrossRef
  • Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
    Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
    Nutrients.2022; 14(15): 3086.     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
    Eun-Jung Rhee
    Journal of the Korean Medical Association.2022; 65(7): 388.     CrossRef
  • Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study
    Hee Sun Kang, Hyang Rang Park, Chun-Ja Kim, Savitri Singh-Carlson
    The Science of Diabetes Self-Management and Care.2022; 48(5): 362.     CrossRef
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     CrossRef
  • Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
    Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
  • Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
    Heekyoung Jeong, Kyungdo Han, Soon Jib Yoo, Mee Kyoung Kim
    Journal of Lipid and Atherosclerosis.2022; 11(3): 288.     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Association of underweight status with the risk of tuberculosis: a nationwide population-based cohort study
    Su Hwan Cho, Hyun Lee, Hyuktae Kwon, Dong Wook Shin, Hee-Kyung Joh, Kyungdo Han, Jin Ho Park, Belong Cho
    Scientific Reports.2022;[Epub]     CrossRef
  • Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • External validation and clinical application of the predictive model for severe hypoglycemia
    Jae-Seung Yun, Kyungdo Han, Soo-Yeon Choi, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effect of Euonymus alatus Extracts on Diabetes Related Markers in Pancreatic β-Cells and C57BL/Ksj-db/db Mice
    Ye Rin Kim, Eun-young Kim, Seong Uk Lee, Young Wan Kim, Yoon Hee Kim
    Journal of the Korean Society of Food Science and Nutrition.2022; 51(9): 894.     CrossRef
  • Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity
    Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
    Obesity.2022; 30(12): 2440.     CrossRef
  • Correlation between shift work and non-alcoholic fatty liver disease among male workers in the steel manufacturing company of Korea: a cross-sectional study
    Kiseok Kim, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Hyun Kyo Lee, Gwangin Baek, Sang Hyeon Kim, Eun-Chul Jang
    Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
  • FGM-based remote intervention for adults with type 1 diabetes: The FRIEND randomized clinical trial
    Jinju Lee, Myeong Hoon Lee, Jiyun Park, Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho, Hyun Wook Han, Young Shin Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
    Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
    Diabetes & Metabolism Journal.2022; 46(6): 819.     CrossRef
  • Blood Pressure Control in Patients with Diabetic Kidney Disease
    Yaeni Kim, Won Kim, Jwa-Kyung Kim, Ju Young Moon, Samel Park, Cheol Whee Park, Hoon Suk Park, Sang Heon Song, Tae-Hyun Yoo, So-Young Lee, Eun Young Lee, Jeonghwan Lee, Kyubok Jin, Dae Ryong Cha, Jin Joo Cha, Sang Youb Han
    Electrolytes & Blood Pressure.2022; 20(2): 39.     CrossRef
  • The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
    Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
    Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303.     CrossRef
  • Oral Semaglutide, the First Ingestible Glucagon-Like Peptide-1 Receptor Agonist: Could It Be a Magic Bullet for Type 2 Diabetes?
    Hwi Seung Kim, Chang Hee Jung
    International Journal of Molecular Sciences.2021; 22(18): 9936.     CrossRef
  • Long-term effectiveness and safety of quadruple combination therapy with empagliflozin versus dapagliflozin in patients with type 2 diabetes: 3-year prospective observational study
    Eu Jeong Ku, Dong-Hwa Lee, Hyun Jeong Jeon, Tae Keun Oh
    Diabetes Research and Clinical Practice.2021; 182: 109123.     CrossRef
  • Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2021;45:698-707)
    Mi-kyung Kim
    Diabetes & Metabolism Journal.2021; 45(6): 968.     CrossRef
  • Incidence and Risk Factors for Progression to Diabetes Mellitus: A Retrospective Cohort Study
    Min Kyung Hyun, Jong Heon Park, Kyoung Hoon Kim, Soon-Ki Ahn, Seon Mi Ji
    International Journal of Environmental Research and Public Health.2021; 19(1): 123.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System
    Kyu Yeon Hur
    The Journal of Korean Diabetes.2021; 22(4): 250.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk
    Min Kyong Moon
    The Journal of Korean Diabetes.2021; 22(4): 259.     CrossRef
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(4):617-618.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0152
  • 4,255 View
  • 112 Download
  • 3 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Construction of an Early Risk Prediction Model for Type 2 Diabetic Peripheral Neuropathy Based on Random Forest
    Zhengang Wei, Xiaohua Wang, Liqin Lu, Su Li, Wenyan Long, Lin Zhang, Shaolin Shen
    CIN: Computers, Informatics, Nursing.2024; 42(9): 665.     CrossRef
  • The effect of close and intensive therapeutic monitoring of patients with poorly controlled type 2 diabetes with different glycemic background
    Ayşe Naciye Erbakan, Müzeyyen Arslan Bahadir, Fatoş Nimet Kaya, Büşra Güleç, Miraç Vural Keskinler, Özge Faydaliel, Banu Mesçi, Aytekin Oğuz
    Medicine.2023; 102(50): e36680.     CrossRef
  • Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathy
    Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu
    Frontiers in Cell and Developmental Biology.2022;[Epub]     CrossRef
Complications
Article image
Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study
Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2021;45(3):368-378.   Published online October 20, 2020
DOI: https://doi.org/10.4093/dmj.2020.0046
  • 10,562 View
  • 372 Download
  • 28 Web of Science
  • 25 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the association of time to reach the target glycosylated hemoglobin (HbA1c) level with long-term durable glycemic control and risk of diabetic complications in patients with newly diagnosed type 2 diabetes mellitus (T2DM).
Methods
In a longitudinal observational cohort, 194 patients with T2DM newly diagnosed between January 2011 and March 2013 were followed up over 6 years. Patients were classified according to the time needed to reach the target HbA1c (<7.0%): <3, 3 to 6 (early achievement group), and ≥6 months (late achievement group). Risks of microvascular complications including diabetic retinopathy, nephropathy, and neuropathy as well as macrovascular events including ischemic heart disease, ischemic stroke, and peripheral arterial disease were assessed by multivariable Cox proportional hazards analysis.
Results
During a median follow-up of 6.53 years, 66 microvascular and 14 macrovascular events occurred. Maintenance of durable glycemic control over 6 years was more likely in the early achievement groups than in the late achievement group (34.5%, 30.0%, and 16.1% in <3, 3 to 6, and ≥6 months, respectively, P=0.039). Early target HbA1c achievement was associated with lower risk of composite diabetic complications (adjusted hazard ratio [HR, 0.47; 95% confidence interval [CI], 0.26 to 0.86 in <3 months group) (adjusted HR, 0.50; 95% CI, 0.23 to 1.10 in 3 to 6 months group, in reference to ≥6 months group). Similar trends were maintained for risks of microvascular and macrovascular complications, although statistical significance was not reached for macrovascular complications.
Conclusion
Early target HbA1c achievement was associated with long-term durable glycemic control and reduced risk of diabetic complications in newly diagnosed T2DM.

Citations

Citations to this article as recorded by  
  • Association of Helicobacter pylori infection with complications of diabetes: a single-center retrospective study
    Zhuoya Li, Jie Zhang, Yizhou Jiang, Kai Ma, Cheng Cui, Xiaoyong Wang
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • HbA1c As Diabetes Mellitus Biomarker and Its Methods Evolution
    Liong Boy Kurniawan
    INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY.2024; 30(2): 191.     CrossRef
  • Efficacy and safety of enavogliflozin vs. dapagliflozin as add-on therapy in patients with type 2 diabetes mellitus based on renal function: a pooled analysis of two randomized controlled trials
    Young Sang Lyu, Sangmo Hong, Si Eun Lee, Bo Young Cho, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus
    Mengjie Chen, Man Liu, Ying Pu, Juan Wu, Mingjiao Zhang, Hongxia Tang, Laixi Kong, Maoting Guo, Kexue Zhu, Yuxiu Xie, Zhe Li, Bei Deng, Zhenzhen Xiong
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024; 26(9): 3642.     CrossRef
  • A study of the relationship between social support, depression, alexithymia and glycemic control in patients with type 2 diabetes mellitus: a structural equation modeling approach
    Yuqin Gan, Fengxiang Tian, Xinxin Fan, Hui Wang, Jian Zhou, Naihui Yang, Hong Qi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Prediction factors and models for chronic kidney disease in type 2 diabetes mellitus: A review of the literature
    Yan Yang, Bixia Yang, Bin Wang, Hua Zhou, Min Yang, Bicheng Liu
    Clinical and Translational Discovery.2024;[Epub]     CrossRef
  • Cost‐effectiveness of the tandem t: Slim X2 with control‐IQ technology automated insulin delivery system in children and adolescents with type 1 diabetes in Sweden
    Peter Adolfsson, Alina Heringhaus, Karin Sjunnesson, Laila Mehkri, Kristian Bolin
    Diabetic Medicine.2024;[Epub]     CrossRef
  • The Association Between Triglyceride Glucose-Body Mass Index and Kidney Impairment in Patients with Type 2 Diabetes Mellitus
    Nan Huang, Bing Lu, Zhuan-Zhuan Zhu, Xiang-Yun Zhu, Sheng Chen, Zhi-Yi Shu, Gai-Fang Liu, You-Fan Peng, Ling Li
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3447.     CrossRef
  • Glycemic control and cardiovascular complications of type 2 diabetes mellitus
    I. V. Druk, S. S. Safronova
    Meditsinskiy sovet = Medical Council.2023; (13): 130.     CrossRef
  • Effect of viscous soluble dietary fiber on glucose and lipid metabolism in patients with type 2 diabetes mellitus: a systematic review and meta-analysis on randomized clinical trials
    Kun Lu, Tingqing Yu, Xinyi Cao, Hui Xia, Shaokang Wang, Guiju Sun, Liang Chen, Wang Liao
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis
    Cuijie Qin, Chuang Li, Yunpeng Luo, Zhen Li, Hui Cao
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Risk assessment of rectal anastomotic leakage (RAREAL) after DIXON in non-emergency patients with rectal cancer
    Xue-Cong Zheng, Jin-Bo Su, Jin-Jie Zheng
    BMC Gastroenterology.2023;[Epub]     CrossRef
  • Evaluation of Left Ventricular Function in Diabetes Patients with Microvascular Disease by Three-Dimensional Speckle Tracking Imaging
    青 周
    Advances in Clinical Medicine.2023; 13(12): 18908.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Metformin plus a low hypoglycemic risk antidiabetic drug vs. metformin monotherapy for untreated type 2 diabetes mellitus: A meta-analysis of randomized controlled trials
    Wei-Tse Hung, Yuan-Jung Chen, Chun-Yu Cheng, Bruce Ovbiagele, Meng Lee, Chia-Yu Hsu
    Diabetes Research and Clinical Practice.2022; 189: 109937.     CrossRef
  • Peripheral arterial disease progression and ankle brachial index: a cohort study with newly diagnosed patients with type 2 diabetes
    João Soares Felício, Franciane Trindade Cunha de Melo, Giovana Miranda Vieira, Vitória Teixeira de Aquino, Fernanda de Souza Parente, Wanderson Maia da Silva, Nivin Mazen Said, Emanuele Rocha da Silva, Ana Carolina Contente Braga de Souza, Maria Clara Ner
    BMC Cardiovascular Disorders.2022;[Epub]     CrossRef
  • Association of long-term visit-to-visit variability of HbA1c and fasting glycemia with hypoglycemia in type 2 diabetes mellitus
    Chen Long, Yaling Tang, Jiangsheng Huang, Suo Liu, Zhenhua Xing
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Inhibition of advanced glycation end products and protein oxidation by leaf extracts and phenolics from Chilean bean landraces
    Felipe Ávila, Nadia Cruz, Jazmin Alarcon-Espósito, Nélida Nina, Hernán Paillan, Katherine Márquez, Denis Fuentealba, Alberto Burgos-Edwards, Cristina Theoduloz, Carmina Vejar-Vivar, Guillermo Schmeda-Hirschmann
    Journal of Functional Foods.2022; 98: 105270.     CrossRef
  • Mediation Effect of Self-Efficacy Between Health Beliefs and Glycated Haemoglobin Levels in Elderly Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
    Anqi Zhang, Jinsong Wang, Xiaojuan Wan, Jing Zhang, Zihe Guo, Yamin Miao, Shuhan Zhao, Shuo Bai, Ziyi Zhang, Weiwei Yang
    Patient Preference and Adherence.2022; Volume 16: 3015.     CrossRef
  • Early Glycosylated Hemoglobin Target Achievement Predicts Clinical Outcomes in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Joonyub Lee, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2021; 45(3): 337.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(4): 617.     CrossRef
  • Plasma Nesfatin-1: Potential Predictor and Diagnostic Biomarker for Cognitive Dysfunction in T2DM Patient
    Dandan Xu, Yue Yu, Yayun Xu, Jinfang Ge
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3555.     CrossRef
COVID-19
Article image
Use of Renin-Angiotensin-Aldosterone System Inhibitors and Severe COVID-19 Outcomes in Patients with Hypertension: A Nationwide Cohort Study
Jae Hyun Bae, Sun Kyu Choi, Nam Hoon Kim, Juneyoung Lee, Sin Gon Kim
Diabetes Metab J. 2021;45(3):430-438.   Published online February 22, 2021
DOI: https://doi.org/10.4093/dmj.2020.0279
  • 9,007 View
  • 304 Download
  • 3 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Angiotensin-converting enzyme 2 facilitates the entry of severe acute respiratory syndrome coronavirus 2 into the human body. We investigated the association of renin-angiotensin-aldosterone system (RAAS) inhibitor use with severe coronavirus disease 2019 (COVID-19) outcomes in hypertensive patients.
Methods
We identified hypertensive patients with confirmed COVID-19 from the Korean Health Insurance Review and Assessment Service from inception to May 15, 2020. The primary outcome was the composite of intensive care unit (ICU) admission, invasive mechanical ventilation (IMV), continuous renal replacement therapy (CRRT), extracorporeal membrane oxygenation (ECMO), and death from COVID-19. The individual components were evaluated as secondary outcomes.
Results
Of 1,374 hypertensive patients with COVID-19, 1,076 (78.3%) and 298 (21.7%) were users and never-users of RAAS inhibitors, respectively. The RAAS inhibitor users were not associated with the risk of the primary outcome (adjusted odds ratio [aOR], 0.72; 95% confidence interval [CI], 0.46 to 1.10). The risk of ICU admission was significantly lower in the users than the never-users (aOR, 0.44; 95% CI, 0.24 to 0.84). The RAAS inhibitors were beneficial only in ICU admissions that did not require IMV (aOR, 0.28; 95% CI, 0.14 to 0.58). The risk of death from COVID-19 was comparable between the groups (aOR, 1.09; 95% CI, 0.64 to 1.85). We could not evaluate the risks of CRRT and ECMO owing to the small number of events.
Conclusion
RAAS inhibitor use was not associated with the composite of severe outcomes in the hypertensive patients with COVID-19 but significantly lowered the risk of ICU admission, particularly in patients who did not require IMV.

Citations

Citations to this article as recorded by  
  • Systematic review and meta-analysis of the clinical outcomes of ACEI/ARB in East-Asian patients with COVID-19
    Nancy Xurui Huang, Qi Yuan, Fang Fang, Bryan P. Yan, John E. Sanderson, Masaki Mogi
    PLOS ONE.2023; 18(1): e0280280.     CrossRef
  • Renin‐Angiotensin Aldosterone System Inhibitors and COVID‐19: A Systematic Review and Meta‐Analysis Revealing Critical Bias Across a Body of Observational Research
    Jordan Loader, Frances C. Taylor, Erik Lampa, Johan Sundström
    Journal of the American Heart Association.2022;[Epub]     CrossRef
  • Renin-angiotensin-aldosterone system blockers in Bulgarian COVID-19 patients with or without chronic kidney disease
    Rumen Filev, Lionel Rostaing, Mila Lyubomirova, Boris Bogov, Krassimir Kalinov, Dobrin Svinarov
    Medicine.2022; 101(48): e31988.     CrossRef
Metabolic Risk/Epidemiology
Article image
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2021;45(2):183-194.   Published online June 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0171
  • 8,328 View
  • 250 Download
  • 3 Web of Science
  • 5 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

The age- and sex-related differences on the impacts of body composition on diabetes mellitus (DM) remain uncertain.

Methods

The fourth and fifth Korea National Health and Nutrition Examination Survey included 15,586 subjects over 30 years of age who completed dual-energy X-ray absorptiometry. We conducted a cross-sectional study to investigate whether muscle mass index (MMI), defined as appendicular skeletal muscle divided by body mass index (BMI), and fat mass index (FMI), defined as trunk fat mass divided by BMI, were differently associated with DM according to age and sex.

Results

In multivariate logistic regression, the risk for DM significantly increased across quartiles of FMI in men aged ≥70. Meanwhile, MMI showed a protective association with DM in men of the same age. The odds ratios (ORs) for the highest quartile versus the lowest quartile of FMI and MMI were 3.116 (95% confidence interval [CI], 1.405 to 6.914) and 0.295 (95% CI, 0.157 to 0.554), respectively. In women, the ORs of DM was significantly different across FMI quartiles in those over age 50. The highest quartile of FMI exhibited increased ORs of DM in subjects aged 50 to 69 (OR, 1.891; 95% CI, 1.229 to 2.908) and ≥70 (OR, 2.275; 95% CI, 1.103 to 4.69) compared to lowest quartile. However, MMI was not significantly associated with DM in women of all age groups.

Conclusion

Both FMI and MMI were independent risk factors for DM in men aged 70 years or more. In women over 50 years, FMI was independently associated with DM. There was no significant association between MMI and DM in women.

Citations

Citations to this article as recorded by  
  • Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
    敏 张
    Advances in Clinical Medicine.2024; 14(03): 936.     CrossRef
  • Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
    Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173.     CrossRef
  • Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
  • Whole and segmental body composition changes during mid-follicular and mid-luteal phases of the menstrual cycle in recreationally active young women
    Şükran Nazan Koşar, Yasemin Güzel, Mehmet Gören Köse, Ayşe Kin İşler, Tahir Hazır
    Annals of Human Biology.2022; 49(2): 124.     CrossRef
  • Body Composition and Diabetes
    Hye Jin Yoo
    The Journal of Korean Diabetes.2021; 22(4): 238.     CrossRef
Drug/Regimen
Fibrates Revisited: Potential Role in Cardiovascular Risk Reduction
Nam Hoon Kim, Sin Gon Kim
Diabetes Metab J. 2020;44(2):213-221.   Published online April 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0001
  • 8,870 View
  • 347 Download
  • 48 Web of Science
  • 50 Crossref
AbstractAbstract PDFPubReader   

Fibrates, peroxisome proliferator-activated receptor-α agonists, are potent lipid-modifying drugs. Their main effects are reduction of triglycerides and increase in high-density lipoprotein levels. Several randomized controlled trials have not demonstrated their benefits on cardiovascular risk reduction, especially as an “add on” to statin therapy. However, subsequent analyses by major clinical trials, meta-analyses, and real-world evidence have proposed their potential in specific patient populations with atherogenic dyslipidemia and metabolic syndrome. Here, we have reviewed and discussed the accumulated data on fibrates to understand their current status in cardiovascular risk management.

Citations

Citations to this article as recorded by  
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • Role of PPARα in inflammatory response of C2C12 myotubes
    Yuki Shimizu, Keiko Hamada, Tingting Guo, Chie Hasegawa, Yusuke Kuga, Katsushi Takeda, Takashi Yagi, Hiroyuki Koyama, Hiroshi Takagi, Daisuke Aotani, Hiromi Kataoka, Tomohiro Tanaka
    Biochemical and Biophysical Research Communications.2024; 694: 149413.     CrossRef
  • Metabolic Flexibility of the Heart: The Role of Fatty Acid Metabolism in Health, Heart Failure, and Cardiometabolic Diseases
    Virginia Actis Dato, Stephan Lange, Yoshitake Cho
    International Journal of Molecular Sciences.2024; 25(2): 1211.     CrossRef
  • ApoB100 and Atherosclerosis: What’s New in the 21st Century?
    Dimitris Kounatidis, Natalia G. Vallianou, Aikaterini Poulaki, Angelos Evangelopoulos, Fotis Panagopoulos, Theodora Stratigou, Eleni Geladari, Irene Karampela, Maria Dalamaga
    Metabolites.2024; 14(2): 123.     CrossRef
  • Follistatin-like 1 (FSTL1) levels as potential early biomarker of cardiovascular disease in a Mexican population
    N. Ponce-Ruíz, J. F. Herrera-Moreno, A. E. Rojas-García, B. S. Barrón-Vivanco, C. A. González-Arias, Y. Y. Bernal-Hernández, L. Ortega-Cervantes, J. Ponce-Gallegos, J. A. Hernández-Nolasco, I. M. Medina-Díaz
    Heart and Vessels.2024; 39(6): 563.     CrossRef
  • Role of Fenofibrate Use in Dyslipidemia and Related Comorbidities in the Asian Population: A Narrative Review
    Chaicharn Deerochanawong, Sin Gon Kim, Yu-Cheng Chang
    Diabetes & Metabolism Journal.2024; 48(2): 184.     CrossRef
  • Coenzyme Q10 in atherosclerosis
    Minjun Liao, Xueke He, Yangyang Zhou, Weiqiang Peng, Xiao-Mei Zhao, Miao Jiang
    European Journal of Pharmacology.2024; 970: 176481.     CrossRef
  • Onion Polyphenols as Multi-Target-Directed Ligands in MASLD: A Preliminary Molecular Docking Study
    Maria Rosaria Paravati, Anna Caterina Procopio, Maja Milanović, Giuseppe Guido Maria Scarlata, Nataša Milošević, Maja Ružić, Nataša Milić, Ludovico Abenavoli
    Nutrients.2024; 16(8): 1226.     CrossRef
  • Therapeutic approach in the treatment of dyslipidemia: Novelties and challenges
    Katarina Lalić, Nataša Rajković, Ljiljana Popović, Sandra Singh-Lukač, Iva Rasulić, Ana Petakov, Milica Krstić, Marija Mitrović
    Galenika Medical Journal.2024; 3(9): 31.     CrossRef
  • Research trends in lipid-lowering therapies for coronary heart disease combined with hyperlipidemia: a bibliometric study and visual analysis
    Quankai Cheng, Jingjing Sun, Haicheng Zhong, Ziming Wang, Chang Liu, Sheng Zhou, Jie Deng
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Expression of FAM159B in Humans, Rats, and Mice: A Cross-species Examination
    Anna-Sophia Liselott Beyer, Daniel Kaemmerer, Jörg Sänger, Amelie Lupp
    Journal of Histochemistry & Cytochemistry.2024; 72(7): 467.     CrossRef
  • The Pleiotropic Effects of Lipid-Modifying Interventions: Exploring Traditional and Emerging Hypolipidemic Therapies
    Dimitris Kounatidis, Nikolaos Tentolouris, Natalia G. Vallianou, Iordanis Mourouzis, Irene Karampela, Theodora Stratigou, Eleni Rebelos, Marina Kouveletsou, Vasileios Stamatopoulos, Eleni Tsaroucha, Maria Dalamaga
    Metabolites.2024; 14(7): 388.     CrossRef
  • Fenofibrate’s impact on cardiovascular risk in patients with diabetes: a nationwide propensity-score matched cohort study
    Sangmo Hong, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The role of DGAT1 and DGAT2 in tumor progression via fatty acid metabolism: A comprehensive review
    Leisheng Wang, Shiwei Xu, Mengzhen Zhou, Hao Hu, Jinyou Li
    International Journal of Biological Macromolecules.2024; 278: 134835.     CrossRef
  • Safety and efficacy of the novel RNA interference therapies for hypertriglyceridemia and mixed hyperlipidemia management: a systematic review and meta-analysis
    A.B.M. Kamrul-Hasan, Deep Dutta, Lakshmi Nagendra, Sunetra Mondal, Saptarshi Bhattacharya, Sanjay Kalra
    Endocrine Practice.2024;[Epub]     CrossRef
  • Effects of Fatty Acid Metabolism on Heart Failure
    日娜 萨
    Advances in Clinical Medicine.2024; 14(09): 787.     CrossRef
  • Present and Future of Dyslipidaemia Treatment—A Review
    Iveta Merćep, Andro Vujević, Dominik Strikić, Ivana Radman, Ivan Pećin, Željko Reiner
    Journal of Clinical Medicine.2023; 12(18): 5839.     CrossRef
  • VLDL receptor gene therapy for reducing atherogenic lipoproteins
    Ronald M. Krauss, Jonathan T. Lu, Joseph J. Higgins, Cathryn M. Clary, Ray Tabibiazar
    Molecular Metabolism.2023; 69: 101685.     CrossRef
  • The emerging role of PPAR-alpha in breast cancer
    Zhiwen Qian, Lingyan Chen, Jiayu Liu, Ying Jiang, Yan Zhang
    Biomedicine & Pharmacotherapy.2023; 161: 114420.     CrossRef
  • Molecular mechanisms and therapeutic perspectives of peroxisome proliferator‐activated receptor α agonists in cardiovascular health and disease
    Yujie Pu, Chak Kwong Cheng, Hongsong Zhang, Jiang‐Yun Luo, Li Wang, Brian Tomlinson, Yu Huang
    Medicinal Research Reviews.2023; 43(6): 2086.     CrossRef
  • Macrophage angiotensin-converting enzyme reduces atherosclerosis by increasing peroxisome proliferator-activated receptor α and fundamentally changing lipid metabolism
    DuoYao Cao, Zakir Khan, Xiaomo Li, Suguru Saito, Ellen A Bernstein, Aaron R Victor, Faizan Ahmed, Aoi O Hoshi, Luciana C Veiras, Tomohiro Shibata, Mingtian Che, Lei Cai, Michifumi Yamashita, Ryan E Temel, Jorge F Giani, Daniel J Luthringer, Ajit S Divakar
    Cardiovascular Research.2023; 119(9): 1825.     CrossRef
  • Rapid flow synthesis of fenofibrate via scalable flash chemistry with in-line Li recovery
    Sanket A. Kawale, Dong-Chang Kang, Gwang-Noh Ahn, Amirreza Mottafegh, Ji-Ho Kang, Gi-Su Na, Dong-Pyo Kim
    Chemical Engineering Journal.2023; 477: 147033.     CrossRef
  • Effectiveness and Safety of Fenofibrate in Routine Treatment of Patients with Hypertriglyceridemia and Metabolic Syndrome
    Marat V. Ezhov, Gregory P. Arutyunov
    Diseases.2023; 11(4): 140.     CrossRef
  • Development of New Genome Editing Tools for the Treatment of Hyperlipidemia
    Giulio Preta
    Cells.2023; 12(20): 2466.     CrossRef
  • Exploring the hypolipidemic effects of bergenin from Saxifraga melanocentra Franch: mechanistic insights and potential for hyperlipidemia treatment
    Li Zhang, Yingying Tong, Yan Fang, Jinjin Pei, Qilan Wang, Gang Li
    Lipids in Health and Disease.2023;[Epub]     CrossRef
  • Obesity and Dyslipidemia
    Barbora Nussbaumerova, Hana Rosolova
    Current Atherosclerosis Reports.2023; 25(12): 947.     CrossRef
  • Bibliometric analysis of residual cardiovascular risk: trends and frontiers
    Lin Wang, Sutong Wang, Chaoyuan Song, Yiding Yu, Yuehua Jiang, Yongcheng Wang, Xiao Li
    Journal of Health, Population and Nutrition.2023;[Epub]     CrossRef
  • Hypertriglyceridemia in Apoa5–/– mice results from reduced amounts of lipoprotein lipase in the capillary lumen
    Ye Yang, Anne P. Beigneux, Wenxin Song, Le Phuong Nguyen, Hyesoo Jung, Yiping Tu, Thomas A. Weston, Caitlyn M. Tran, Katherine Xie, Rachel G. Yu, Anh P. Tran, Kazuya Miyashita, Katsuyuki Nakajima, Masami Murakami, Yan Q. Chen, Eugene Y. Zhen, Joonyoung R.
    Journal of Clinical Investigation.2023;[Epub]     CrossRef
  • Blood-Derived Lipid and Metabolite Biomarkers in Cardiovascular Research from Clinical Studies: A Recent Update
    Dipali Kale, Amol Fatangare, Prasad Phapale, Albert Sickmann
    Cells.2023; 12(24): 2796.     CrossRef
  • Obicetrapib: Reversing the Tide of CETP Inhibitor Disappointments
    John J. P. Kastelein, Andrew Hsieh, Mary R. Dicklin, Marc Ditmarsch, Michael H. Davidson
    Current Atherosclerosis Reports.2023;[Epub]     CrossRef
  • Effective, disease-modifying, clinical approaches to patients with mild-to-moderate hypertriglyceridaemia
    Gary F Lewis, Robert A Hegele
    The Lancet Diabetes & Endocrinology.2022; 10(2): 142.     CrossRef
  • Effects of Alirocumab on Triglyceride Metabolism: A Fat-Tolerance Test and Nuclear Magnetic Resonance Spectroscopy Study
    Thomas Metzner, Deborah R. Leitner, Karin Mellitzer, Andrea Beck, Harald Sourij, Tatjana Stojakovic, Gernot Reishofer, Winfried März, Ulf Landmesser, Hubert Scharnagl, Hermann Toplak, Günther Silbernagel
    Biomedicines.2022; 10(1): 193.     CrossRef
  • Is there a role of lipid-lowering therapies in the management of fatty liver disease?
    Ismini Tzanaki, Aris P Agouridis, Michael S Kostapanos
    World Journal of Hepatology.2022; 14(1): 119.     CrossRef
  • Therapeutic Strategies and Chemoprevention of Atherosclerosis: What Do We Know and Where Do We Go?
    Ana Clara Aprotosoaie, Alexandru-Dan Costache, Irina-Iuliana Costache
    Pharmaceutics.2022; 14(4): 722.     CrossRef
  • The Overlooked Transformation Mechanisms of VLCFAs: Peroxisomal β-Oxidation
    Qinyue Lu, Weicheng Zong, Mingyixing Zhang, Zhi Chen, Zhangping Yang
    Agriculture.2022; 12(7): 947.     CrossRef
  • Current Trends of Big Data Research Using the Korean National Health Information Database
    Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2022; 46(4): 552.     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Novel Targets for a Combination of Mechanical Unloading with Pharmacotherapy in Advanced Heart Failure
    Agata Jedrzejewska, Alicja Braczko, Ada Kawecka, Marcin Hellmann, Piotr Siondalski, Ewa Slominska, Barbara Kutryb-Zajac, Magdi H. Yacoub, Ryszard T. Smolenski
    International Journal of Molecular Sciences.2022; 23(17): 9886.     CrossRef
  • Lipoprotein Lipase: Is It a Magic Target for the Treatment of Hypertriglyceridemia
    Joon Ho Moon, Kyuho Kim, Sung Hee Choi
    Endocrinology and Metabolism.2022; 37(4): 575.     CrossRef
  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Alterations of HDL’s to piHDL’s Proteome in Patients with Chronic Inflammatory Diseases, and HDL-Targeted Therapies
    Veronika Vyletelová, Mária Nováková, Ľudmila Pašková
    Pharmaceuticals.2022; 15(10): 1278.     CrossRef
  • Cardiovascular Risk Profile and Lipid Management in the Population-Based Cohort Study LATINO: 20 Years of Real-World Data
    Cristina Gavina, Daniel Seabra Carvalho, Marisa Pardal, Marta Afonso-Silva, Diana Grangeia, Ricardo Jorge Dinis-Oliveira, Francisco Araújo, Tiago Taveira-Gomes
    Journal of Clinical Medicine.2022; 11(22): 6825.     CrossRef
  • New and Emerging lipid-lowering Therapy
    James M Backes, Daniel E Hilleman
    Future Cardiology.2021; 17(8): 1407.     CrossRef
  • Systemic PFOS and PFOA exposure and disturbed lipid homeostasis in humans: what do we know and what not?
    Styliani Fragki, Hubert Dirven, Tony Fletcher, Bettina Grasl-Kraupp, Kristine Bjerve Gützkow, Ron Hoogenboom, Sander Kersten, Birgitte Lindeman, Jochem Louisse, Ad Peijnenburg, Aldert H. Piersma, Hans M. G. Princen, Maria Uhl, Joost Westerhout, Marco J. Z
    Critical Reviews in Toxicology.2021; 51(2): 141.     CrossRef
  • A network pharmacology analysis on drug‐like compounds from Ganoderma lucidum for alleviation of atherosclerosis
    Ki Kwang Oh, Md. Adnan, Dong Ha Cho
    Journal of Food Biochemistry.2021;[Epub]     CrossRef
  • Efficacy and Safety of Fenofibrate-Statin Combination Therapy in Patients With Inadequately Controlled Triglyceride Levels Despite Previous Statin Monotherapy: A Multicenter, Randomized, Double-blind, Phase IV Study
    Myung Soo Park, Jong-Chan Youn, Eung Ju Kim, Ki Hoon Han, Sang Hak Lee, Sung Hea Kim, Byung Jin Kim, Sung Uk Kwon, Kyu-Hyung Ryu
    Clinical Therapeutics.2021; 43(10): 1735.     CrossRef
  • Prevalence of and Factors Associated With the Prescription of Fibrates Among Patients Receiving Lipid-Lowering Drugs in Germany
    Louis Jacob, Roger-Axel Greiner, Mark Luedde, Karel Kostev
    Journal of Cardiovascular Pharmacology.2021; 78(6): 885.     CrossRef
  • Challenging Issues in the Management of Cardiovascular Risk Factors in Diabetes During the COVID-19 Pandemic: A Review of Current Literature
    Leili Rahimi, Mojtaba Malek, Faramarz Ismail-Beigi, Mohammad E. Khamseh
    Advances in Therapy.2020; 37(8): 3450.     CrossRef
  • Treatment With Gemfibrozil Prevents the Progression of Chronic Kidney Disease in Obese Dahl Salt-Sensitive Rats
    Corbin A. Shields, Bibek Poudel, Kasi C. McPherson, Andrea K. Brown, Ubong S. Ekperikpe, Evan Browning, Lamari Sutton, Denise C. Cornelius, Jan M. Williams
    Frontiers in Physiology.2020;[Epub]     CrossRef
  • Oxidative Stress and Inflammation in Renal and Cardiovascular Complications of Diabetes
    Amelia Charlton, Jessica Garzarella, Karin A. M. Jandeleit-Dahm, Jay C. Jha
    Biology.2020; 10(1): 18.     CrossRef
Epidemiology
Diabetes Mellitus, Still Major Threat to Mortality from Various Causes
Nam Hoon Kim
Diabetes Metab J. 2019;43(3):273-275.   Published online June 13, 2019
DOI: https://doi.org/10.4093/dmj.2018.0102
  • 3,633 View
  • 66 Download
  • 4 Web of Science
  • 5 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Classical and Novel Lipid-Lowering Therapies for Diabetic Patients with Established Coronary Artery Disease or High Risk of Coronary Artery Disease—A Narrative Clinical Review
    Nikolaos Velidakis, Panagiotis Stachteas, Evangelia Gkougkoudi, Christodoulos Papadopoulos, Nikolaos P. E. Kadoglou
    Pharmaceuticals.2024; 17(5): 568.     CrossRef
  • 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
  • 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
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • An exhaustive perspective on structural insights of SGLT2 inhibitors: A novel class of antidiabetic agent
    Sushanta Bhattacharya, Akash Rathore, Deepa Parwani, Chaitali Mallick, Vivek Asati, Shivangi Agarwal, Vaibhav Rajoriya, Ratnesh Das, Sushil Kumar Kashaw
    European Journal of Medicinal Chemistry.2020; 204: 112523.     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus 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
    SSRN Electronic Journal .2020;[Epub]     CrossRef
Obesity and Metabolic Syndrome
Proportion and Characteristics of the Subjects with Low Muscle Mass and Abdominal Obesity among the Newly Diagnosed and Drug-Naïve Type 2 Diabetes Mellitus Patients
Jung A Kim, Soon Young Hwang, Hye Soo Chung, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2019;43(1):105-113.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0036
  • 5,583 View
  • 79 Download
  • 14 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

Sarcopenic obesity (SO) is a serious public health concern, few studies have examined the clinical implications of SO in newly-diagnosed type 2 diabetes mellitus (T2DM) patients. We evaluated the prevalence of the newly diagnosed, drug-naïve T2DM patients with low muscle mass with abdominal obesity and its association with insulin resistance and other diabetic complications.

Methods

We classified 233 drug-naïve T2DM subjects into four groups according to abdominal obesity (waist circumference ≥90 cm in men and ≥85 cm in women) and low muscle mass status (appendicular skeletal muscle <7.0 kg/m2 for men and <5.4 kg/m2 for women).

Results

The proportion of the subjects with low muscle mass and abdominal obesity among the newly diagnosed, drug-naïve T2DM patients was 8.2%. Homeostasis model assessment of insulin resistance (HOMA-IR) increased linearly according to body composition group from normal to abdominal obesity to both low muscle mass and abdominal obesity. The multiple logistic regression analysis indicated that subjects with low muscle mass and abdominal obesity (odds ratio [OR], 9.39; 95% confidence interval [CI], 2.41 to 36.56) showed a higher risk for insulin resistance, defined as HOMA-IR ≥3, than those with abdominal obesity (OR, 5.36; 95% CI, 2.46 to 11.69), even after adjusting for other covariates. However, there were no differences in lipid profiles, microalbuminuria, or various surrogate markers for atherosclerosis among the four groups.

Conclusion

Subjects with both low muscle mass and abdominal obesity had a higher risk of insulin resistance than those with low muscle mass or abdominal obesity only.

Citations

Citations to this article as recorded by  
  • Coexistence of high visceral fat area and sarcopenia is associated with atherosclerotic markers in old‐old patients with diabetes: A cross‐sectional study
    Motoya Sato, Yoshiaki Tamura, Yuji Murao, Fumino Yorikawa, Yuu Katsumata, So Watanabe, Shugo Zen, Remi Kodera, Kazuhito Oba, Kenji Toyoshima, Yuko Chiba, Atsushi Araki
    Journal of Diabetes Investigation.2024; 15(10): 1510.     CrossRef
  • The coexistence of low muscle mass and obesity evaluated by dual energy X‐ray absorptiometry, rather than low muscle mass or obesity alone, is associated with macrovascular but not microvascular complications in patients with type 2 diabetes mellitus
    Han Li, Weijuan Su, Zeyu Zheng, Jia Li, Shunhua Wang, Zheng Chen, Yuxian Zhang, Bingkun Huang, Fuping Lyu, Fangfang Yan, Caoxin Huang, Mingzhu Lin, Xiulin Shi, Xuejun Li
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • Clinical observation on acupuncture for 80 patients with abdominal obesity in Germany: based on the theory of unblocking and regulating the Belt Vessel
    Yuanyuan Li, Hang Xiong, Shuhui Ma, Jingzhang Dai
    Journal of Acupuncture and Tuina Science.2023; 21(2): 137.     CrossRef
  • Waist circumference and end‐stage renal disease based on glycaemic status: National Health Insurance Service data 2009–2018
    Yun Kyung Cho, Ji Hye Huh, Shinje Moon, Yoon Jung Kim, Yang‐Hyun Kim, Kyung‐do Han, Jun Goo Kang, Seong Jin Lee, Sung‐Hee Ihm
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 585.     CrossRef
  • Incidence of sarcopenic obesity in older patients with diabetes and association between sarcopenic obesity and higher-level functional capacity: evaluation based on a consensus statement
    Satoshi Ida, Ryutaro Kaneko, Kanako Imataka, Kaoru Okubo, Kentaro Azuma, Kazuya Murata
    Endocrine Journal.2023; 70(6): 591.     CrossRef
  • A Novel Anthropometric Parameter, Weight-Adjusted Waist Index Represents Sarcopenic Obesity in Newly Diagnosed Type 2 Diabetes Mellitus
    Min Jeong Park, Soon Young Hwang, Nam Hoon Kim, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 130.     CrossRef
  • Prevalence of sarcopenic obesity in patients with diabetes and adverse outcomes: A systematic review and meta-analysis
    Yuan-yuan Zhou, Jin-feng Wang, Qian Yao, Qiu-feng Jian, Zhi-peng Luo
    Clinical Nutrition ESPEN.2023; 58: 128.     CrossRef
  • The Correlation Between Leg Muscle Mass Index and Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus
    Menggege Liu, Qing Zhang, Juan Liu, Huiling Bai, Ping Yang, Xinhua Ye, Xiaoqing Yuan
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 4169.     CrossRef
  • Sarcopenic Obesity with Normal Body Size May Have Higher Insulin Resistance in Elderly Patients with Type 2 Diabetes Mellitus
    Tingting Han, Ting Yuan, Xinyue Liang, Ningxin Chen, Jia Song, Xin Zhao, Yurong Weng, Yaomin Hu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1197.     CrossRef
  • Relationship between Visceral Adipose Index, Lipid Accumulation Product and Type 2 Diabetes Mellitus
    停停 陈
    Advances in Clinical Medicine.2022; 12(04): 3350.     CrossRef
  • Assessment of the relationship between prediabetes and low skeletal mass based on blood creatinine level
    S. I. Ibragimova, G. O. Nuskabayeva, Z. N. Shalkharova, K. Zh. Sadykova, G. A. Junusbekova, M. Oran
    Diabetes mellitus.2022; 25(3): 226.     CrossRef
  • Changes in body composition and low blood urea nitrogen level related to an increase in the prevalence of fatty liver over 20 years: A cross‐sectional study
    Yasushi Imamura, Seiichi Mawatari, Kohei Oda, Kotaro Kumagai, Yasunari Hiramine, Akiko Saishoji, Atsuko Kakihara, Mai Nakahara, Manei Oku, Kaori Hosoyamada, Shuji Kanmura, Akihiro Moriuchi, Hironori Miyahara, Akio ido
    Hepatology Research.2021; 51(5): 570.     CrossRef
  • Body Composition and Diabetes
    Hye Jin Yoo
    The Journal of Korean Diabetes.2021; 22(4): 238.     CrossRef
  • Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
    Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
    Diseases.2020; 8(3): 25.     CrossRef
  • Low alanine aminotransferase levels predict low muscle strength in older patients with diabetes: A nationwide cross‐sectional study in Korea
    Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Geriatrics & Gerontology International.2020; 20(4): 271.     CrossRef
  • Association between sarcopenic obesity and higher risk of type 2 diabetes in adults: A systematic review and meta-analysis
    Dima Khadra, Leila Itani, Hana Tannir, Dima Kreidieh, Dana El Masri, Marwan El Ghoch
    World Journal of Diabetes.2019; 10(5): 311.     CrossRef
Epidemiology
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 Metab J. 2018;42(5):394-401.   Published online April 26, 2018
DOI: https://doi.org/10.4093/dmj.2017.0088
  • 5,546 View
  • 59 Download
  • 26 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   
Background

To estimate and compare the trends of all-cause and cause-specific mortality rates for subjects with and without diabetes in South Korea, from 2003 to 2013.

Methods

Using a population-based cohort (2003 to 2013), we evaluated annual mortality rates in adults (≥30 years) with and without diabetes. The number of subjects in this analysis ranged from 585,795 in 2003 to 670,020 in 2013.

Results

Age- and sex-adjusted all-cause mortality rates decreased consistently in both groups from 2003 to 2013 (from 14.4 to 9.3/1,000 persons in subjects with diabetes and from 7.9 to 4.4/1,000 persons in those without diabetes). The difference in mortality rates between groups also decreased (6.61 per 1,000 persons in 2003 to 4.98 per 1,000 persons in 2013). The slope associated with the mortality rate exhibited a steeper decrease in subjects with diabetes than those without diabetes (regression coefficients of time: −0.50 and −0.33, respectively; P=0.004). In subjects with diabetes, the mortality rate from cardiovascular disease decreased by 53.5% (from 2.73 to 1.27 per 1,000 persons, P for trend <0.001). Notably, the decrease in mortality from ischemic stroke (79.2%, from 1.20 to 0.25 per 1,000 persowns) was more profound than that from ischemic heart disease (28.3%, from 0.60 to 0.43 per 1,000 persons).

Conclusion

All-cause and cardiovascular mortality rates decreased substantially from 2003 to 2013, and the decline in ischemic stroke mortality mainly contributed to the decreased cardiovascular mortality in Korean people with diabetes.

Citations

Citations to this article as recorded by  
  • Green tea consumption and incidence of cardiovascular disease in type 2 diabetic patients with overweight/obesity: a community-based cohort study
    Bingyue Liu, Shujun Gu, Jin Zhang, Hui Zhou, Jian Su, Sudan Wang, Qian Sun, Zhengyuan Zhou, Jinyi Zhou, Chen Dong
    Archives of Public Health.2024;[Epub]     CrossRef
  • Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong
    Aimin Yang, Tingting Chen, Mai Shi, Eric Lau, Raymond SM Wong, Jones Chan, Juliana CN Chan, Elaine Chow
    Diabetes Research and Clinical Practice.2024; 210: 111618.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Letter: Triglyceride-Glucose Index Predicts Cardiovascular Outcome in Metabolically Unhealthy Obese Population: A Nationwide Population-Based Cohort Study (J Obes Metab Syndr 2022;31:178-86)
    Gwanpyo Koh
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 179.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • The Characteristics and Risk of Mortality in the Elderly Korean Population
    Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 522.     CrossRef
  • Current Status of Low-Density Lipoprotein Cholesterol Target Achievement in Patients with Type 2 Diabetes Mellitus in Korea Compared with Recent Guidelines
    Soo Jin Yun, In-Kyung Jeong, Jin-Hye Cha, Juneyoung Lee, Ho Chan Cho, Sung Hee Choi, SungWan Chun, Hyun Jeong Jeon, Ho-Cheol Kang, Sang Soo Kim, Seung-Hyun Ko, Gwanpyo Koh, Su Kyoung Kwon, Jae Hyuk Lee, Min Kyong Moon, Junghyun Noh, Cheol-Young Park, Sung
    Diabetes & Metabolism Journal.2022; 46(3): 464.     CrossRef
  • Health-related Quality of Life Instrument With 8 Items for Use in Patients With Type 2 Diabetes Mellitus: A Validation Study in Korea
    Juyoung Kim, Hyeon-Jeong Lee, Min-Woo Jo
    Journal of Preventive Medicine and Public Health.2022; 55(3): 234.     CrossRef
  • 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
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
    Nam Hoon Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
  • Diabetic Ketoacidosis and COVID-19: A Retrospective Observational Study
    Govind Nagdev, Gajanan Chavan, Charuta Gadkari, Gaurav Sahu
    Cureus.2022;[Epub]     CrossRef
  • Trends in the effects of pre‐transplant diabetes on mortality and cardiovascular events after kidney transplantation
    Ja Young Jeon, Soo Jung Kim, Kyoung Hwa Ha, Ji Hyun Park, Bumhee Park, Chang‐Kwon Oh, Seung Jin Han
    Journal of Diabetes Investigation.2021; 12(5): 811.     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
  • Polysomnographic phenotyping of obstructive sleep apnea and its implications in mortality in Korea
    Jeong-Whun Kim, Tae-Bin Won, Chae-Seo Rhee, Young Mi Park, In-Young Yoon, Sung-Woo Cho
    Scientific Reports.2020;[Epub]     CrossRef
  • Peripheral arterial endothelial dysfunction predicts future cardiovascular events in diabetic patients with albuminuria: a prospective cohort study
    Bo Kyung Koo, Woo-Young Chung, Min Kyong Moon
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Metformin treatment for patients with diabetes and chronic kidney disease: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Kidney Research and Clinical Practice.2020; 39(1): 32.     CrossRef
  • Outcomes for Inappropriate Renal Dose Adjustment of Dipeptidyl Peptidase-4 Inhibitors in Patients With Type 2 Diabetes Mellitus: Population-Based Study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Mayo Clinic Proceedings.2020; 95(1): 101.     CrossRef
  • Metformin Treatment for Patients with Diabetes and Chronic Kidney Disease: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2020; 44(1): 3.     CrossRef
  • A systematic review of trends in all-cause mortality among people with diabetes
    Lei Chen, Rakibul M. Islam, Joanna Wang, Thomas R. Hird, Meda E. Pavkov, Edward W. Gregg, Agus Salim, Maryam Tabesh, Digsu N. Koye, Jessica L. Harding, Julian W. Sacre, Elizabeth L. M. Barr, Dianna J. Magliano, Jonathan E. Shaw
    Diabetologia.2020; 63(9): 1718.     CrossRef
  • Diabetic ketoacidosis precipitated by COVID-19: A report of two cases and review of literature
    Pavan Kumar Reddy, Mohammad Shafi Kuchay, Yatin Mehta, Sunil Kumar Mishra
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(5): 1459.     CrossRef
  • Prognostic value of long-term gamma-glutamyl transferase variability in individuals with diabetes: a nationwide population-based study
    Da Young Lee, Kyungdo Han, Ji Hee Yu, Sanghyun Park, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Seon Mee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Nan Hee Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study
    Jeong Mi Kim, Sang Soo Kim, In Joo Kim, Jong Ho Kim, Bo Hyun Kim, Mi Kyung Kim, Soon Hee Lee, Chang Won Lee, Min Chul Kim, Jun Hyeob Ahn, Jinmi Kim
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMC Medicine.2020;[Epub]     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus 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
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
    Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(6): 909.     CrossRef
  • Diabetes Mellitus, Still Major Threat to Mortality from Various Causes
    Nam Hoon Kim
    Diabetes & Metabolism Journal.2019; 43(3): 273.     CrossRef
  • Diabetes and Cancer: Cancer Should Be Screened in Routine Diabetes Assessment
    Sunghwan Suh, Kwang-Won Kim
    Diabetes & Metabolism Journal.2019; 43(6): 733.     CrossRef
  • Trends of Diabetes Epidemic in Korea
    Ji Cheol Bae
    Diabetes & Metabolism Journal.2018; 42(5): 377.     CrossRef
Clinical Diabetes & Therapeutics
Determinants of Long-Term Durable Glycemic Control in New-Onset Type 2 Diabetes Mellitus
Kyoung Jin Kim, Ju Hee Choi, Kyeong Jin Kim, Jee Hyun An, Hee Young Kim, Sin Gon Kim, Nam Hoon Kim
Diabetes Metab J. 2017;41(4):284-295.   Published online August 3, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.4.284
  • 5,024 View
  • 90 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Long-term durable glycemic control is a difficult goal in the management of type 2 diabetes mellitus (T2DM). We evaluated the factors associated with durable glycemic control in a real clinical setting.

Methods

We retrospectively reviewed the medical records of 194 new-onset, drug-naïve patients with T2DM who were diagnosed between January 2011 and March 2013, and were followed up for >2 years. Glycemic durability was defined as the maintenance of optimal glycemic control (glycosylated hemoglobin [HbA1c] <7.0%) for 2 years without substitution or adding other glucose-lowering agents. Clinical factors and glycemic markers associated with glycemic durability were compared between two groups: a durability group and a non-durability group.

Results

Patients in the durability group had a higher baseline body mass index (26.1 kg/m2 vs. 24.9 kg/m2) and lower HbA1c (8.6% vs. 9.7%) than the non-durability group. The initial choice of glucose-lowering agents was similar in both groups, except for insulin and sulfonylureas, which were more frequently prescribed in the non-durability group. In multiple logistic regression analyses, higher levels of education, physical activity, and homeostasis model assessment of β-cell function (HOMA-β) were associated with glycemic durability. Notably, lower HbA1c (<7.0%) at baseline and first follow-up were significantly associated with glycemic durability (adjusted odds ratio [OR], 7.48; 95% confidence interval [CI], 2.51 to 22.3) (adjusted OR, 9.27; 95% CI, 1.62 to 53.1, respectively), after adjusting for confounding variables including the types of glucose-lowering agents.

Conclusion

Early achievement of HbA1c level within the glycemic target was a determinant of long-term glycemic durability in new-onset T2DM, as were higher levels of education, physical activity, and HOMA-β.

Citations

Citations to this article as recorded by  
  • Initial Combination Therapy in Type 2 Diabetes
    Ji Yoon Kim, Nam Hoon Kim
    Endocrinology and Metabolism.2024; 39(1): 23.     CrossRef
  • Validation of RSSDI therapeutic wheel with clinical experience of Indian physicians
    Dhruvi Hasnani, Vipul Chavda, Dinesh Agrawal, Bijay Patni, Ashwin David, Sachin Gathe, Rajeev Chawla, Jothydev Kesavadev, Sunil Gupta, Shriji Hasnani, Banshi Saboo
    International Journal of Diabetes in Developing Countries.2022; 42(3): 451.     CrossRef
  • Greater Glycemic Burden Is Associated with Further Poorer Glycemic Control in Newly-Diagnosed Type 2 Diabetes Mellitus Patients
    Wei-Lun Wen, Hui-Chun Huang, Hsiu-Chu Lin, Wan-Ching Lo, Szu-Chia Chen, Mei-Yueh Lee
    Nutrients.2022; 14(2): 320.     CrossRef
  • Durability of glucose-lowering effect of dulaglutide in patients with type 2 diabetes mellitus: A real-world data study
    Hwi Seung Kim, Yun Kyung Cho, Myung Jin Kim, Chang Hee Jung, Joong-Yeol Park, Woo Je Lee
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Durability of glycaemic control in type 2 diabetes: A systematic review and meta‐analysis for its association with body weight changes
    Danpei Li, HuaJie Zou, Ping Yin, Wenjun Li, Junyu He, Shuyun Wang, Li Huang, Shiying Shao, Yong Chen, Yan Yang, Xuefeng Yu
    Diabetes, Obesity and Metabolism.2021; 23(1): 208.     CrossRef
  • Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: AnEast Asianperspective
    Linong Ji, Juliana C. N. Chan, Miao Yu, Kun Ho Yoon, Sin Gon Kim, Sung Hee Choi, Chien‐Ning Huang, Shih Te Tu, Chih‐Yuan Wang, Päivi Maria Paldánius, Wayne H. H. Sheu
    Diabetes, Obesity and Metabolism.2021; 23(1): 3.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(3): 368.     CrossRef
  • Effectiveness of Resistance Training and Associated Program Characteristics in Patients at Risk for Type 2 Diabetes: a Systematic Review and Meta-analysis
    Raza Qadir, Nicholas F. Sculthorpe, Taylor Todd, Elise C. Brown
    Sports Medicine - Open.2021;[Epub]     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • Association of Habitual Daily Physical Activity With Glucose Tolerance and β-Cell Function in Adults With Impaired Glucose Tolerance or Recently Diagnosed Type 2 Diabetes From the Restoring Insulin Secretion (RISE) Study
    Karla A. Temple, Ashley H. Tjaden, Karen M. Atkinson, Elena Barengolts, Tamara S. Hannon, Kieren J. Mather, Kristina M. Utzschneider, Sharon L. Edelstein, David A. Ehrmann, Babak Mokhlesi, Philip S. Zeitler, Jayne Williams, Melanie Cree-Green, Yesenia Gar
    Diabetes Care.2019; 42(8): 1521.     CrossRef
  • Factors Associated with Poor Hemoglobin A1c Control in Patients with Type 2 Diabetes
    Salam Alqudah, Anan S. Jarab, Eman A. Alefishat, Fadia Mayyas, Maher Khdour, Sharrel Pinto
    Current Diabetes Reviews.2019; 15(2): 164.     CrossRef
Pathophysiology
Article image
Recent Glycemia Is a Major Determinant of β-Cell Function in Type 2 Diabetes Mellitus
Ji Yoon Kim, Jiyoon Lee, Sin Gon Kim, Nam Hoon Kim
Received October 11, 2023  Accepted March 26, 2024  Published online June 17, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0359    [Epub ahead of print]
  • 1,399 View
  • 52 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Progressive deterioration of β-cell function is a characteristic of type 2 diabetes mellitus (T2DM). We aimed to investigate the relative contributions of clinical factors to β-cell function in T2DM.
Methods
In a T2DM cohort of 470 adults (disease duration 0 to 41 years), β-cell function was estimated using insulinogenic index (IGI), disposition index (DI), oral disposition index (DIO), and homeostasis model assessment of β-cell function (HOMA-B) derived from a 75 g oral glucose tolerance test (OGTT). The relative contributions of age, sex, disease duration, body mass index, glycosylated hemoglobin (HbA1c) levels (at the time of the OGTT), area under the curve of HbA1c over time (HbA1c AUC), coefficient of variation in HbA1c (HbA1c CV), and antidiabetic agents use were compared by standardized regression coefficients. Longitudinal analyses of these indices were also performed.
Results
IGI, DI, DIO, and HOMA-B declined over time (P<0.001 for all). Notably, HbA1c was the most significant factor affecting IGI, DI, DIO, and HOMA-B in the multivariable regression analysis. Compared with HbA1c ≥9%, DI was 1.9-, 2.5-, 3.7-, and 5.5-fold higher in HbA1c of 8%–<9%, 7%–<8%, 6%–<7%, and <6%, respectively, after adjusting for confounding factors (P<0.001). Conversely, β-cell function was not affected by the type or duration of antidiabetic agents, HbA1c AUC, or HbA1c CV. The trajectories of the IGI, DI, DIO, and HOMA-B mirrored those of HbA1c.
Conclusion
β-Cell function declines over time; however, it is flexible, being largely affected by recent glycemia in T2DM.

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP