Diabetes & Metabolism Journal

Sang Youl Rhee (Rhee SY)

31 Articles

Drug/Regimen
Efficacy and Safety of Metformin and Atorvastatin Combination Therapy vs. Monotherapy with Either Drug in Type 2 Diabetes Mellitus and Dyslipidemia Patients (ATOMIC): Double-Blinded Randomized Controlled Trial: Jie-Eun Lee, Seung Hee Yu, Sung Rae Kim, Kyu Jeung Ahn, Kee-Ho Song, In-Kyu Lee, Ho-Sang Shon, In Joo Kim, Soo Lim, Doo-Man Kim, Choon Hee Chung, Won-Young Lee, Soon Hee Lee, Dong Joon Kim, Sung-Rae Cho, Chang Hee Jung, Hyun Jeong Jeon, Seung-Hwan Lee, Keun-Young Park, Sang Youl Rhee, Sin Gon Kim, Seok O Park, Dae Jung Kim, Byung Joon Kim, Sang Ah Lee, Yong-Hyun Kim, Kyung-Soo Kim, Ji A Seo, Il Seong Nam-Goong, Chang Won Lee, Duk Kyu Kim, Sang Wook Kim, Chung Gu Cho, Jung Han Kim, Yeo-Joo Kim, Jae-Myung Yoo, Kyung Wan Min, Moon-Kyu Lee; Diabetes Metab J. 2024;48(4):730-739. Published online May 20, 2024; DOI: https://doi.org/10.4093/dmj.2023.0077

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Abstract PDF Supplementary Material PubReader ePub: Background
It is well known that a large number of patients with diabetes also have dyslipidemia, which significantly increases the risk of cardiovascular disease (CVD). This study aimed to evaluate the efficacy and safety of combination drugs consisting of metformin and atorvastatin, widely used as therapeutic agents for diabetes and dyslipidemia.
Methods
This randomized, double-blind, placebo-controlled, parallel-group and phase III multicenter study included adults with glycosylated hemoglobin (HbA1c) levels >7.0% and <10.0%, low-density lipoprotein cholesterol (LDL-C) >100 and <250 mg/dL. One hundred eighty-five eligible subjects were randomized to the combination group (metformin+atorvastatin), metformin group (metformin+atorvastatin placebo), and atorvastatin group (atorvastatin+metformin placebo). The primary efficacy endpoints were the percent changes in HbA1c and LDL-C levels from baseline at the end of the treatment.
Results
After 16 weeks of treatment compared to baseline, HbA1c showed a significant difference of 0.94% compared to the atorvastatin group in the combination group (0.35% vs. −0.58%, respectively; P<0.0001), whereas the proportion of patients with increased HbA1c was also 62% and 15%, respectively, showing a significant difference (P<0.001). The combination group also showed a significant decrease in LDL-C levels compared to the metformin group (−55.20% vs. −7.69%, P<0.001) without previously unknown adverse drug events.
Conclusion
The addition of atorvastatin to metformin improved HbA1c and LDL-C levels to a significant extent compared to metformin or atorvastatin alone in diabetes and dyslipidemia patients. This study also suggested metformin’s preventive effect on the glucose-elevating potential of atorvastatin in patients with type 2 diabetes mellitus and dyslipidemia, insufficiently controlled with exercise and diet. Metformin and atorvastatin combination might be an effective treatment in reducing the CVD risk in patients with both diabetes and dyslipidemia because of its lowering effect on LDL-C and glucose.

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

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Cardiovascular Risk/Epidemiology
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

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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

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Enhancing Patient Outcomes: Prioritizing SGLT2is and GLP-1RAs in Diabetes with CVD
Gwanpyo Koh
Diabetes & Metabolism Journal.2024; 48(2): 208. CrossRef

Navigating the Future of Diabetes Treatment with New Drugs: Focusing on the Possibilities and Prospects of Enavogliflozin: Sang Youl Rhee; Diabetes Metab J. 2023;47(6):769-770. Published online November 24, 2023; DOI: https://doi.org/10.4093/dmj.2023.0351

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Guideline/Fact Sheet
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

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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.

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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
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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
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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
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

Technology/Device
Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort: Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang; Diabetes Metab J. 2021;45(4):515-525. Published online February 25, 2021; DOI: https://doi.org/10.4093/dmj.2020.0081

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Background
Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited performance. We developed a deep learning (DL) based model using a cohort representative of the Korean population.
Methods
This study was conducted on the basis of the National Health Insurance Service-Health Screening (NHIS-HEALS) cohort of Korea. Overall, 335,302 subjects without T2DM at baseline were included. We developed the model based on 80% of the subjects, and verified the power in the remainder. Predictive models for T2DM were constructed using the recurrent neural network long short-term memory (RNN-LSTM) network and the Cox longitudinal summary model. The performance of both models over a 10-year period was compared using a time dependent area under the curve.
Results
During a mean follow-up of 10.4±1.7 years, the mean frequency of periodic health check-ups was 2.9±1.0 per subject. During the observation period, T2DM was newly observed in 8.7% of the subjects. The annual performance of the model created using the RNN-LSTM network was superior to that of the Cox model, and the risk factors for T2DM, derived using the two models were similar; however, certain results differed.
Conclusion
The DL-based T2DM prediction model, constructed using a cohort representative of the population, performs better than the conventional model. After pilot tests, this model will be provided to all Korean national health screening recipients in the future.

Citations

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Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Hyunji Sang, Hojae Lee, Myeongcheol Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Masoud Rahmati, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee
Scientific Reports.2024;[Epub] CrossRef
The Applicability of Some Machine Learning Algorithms in the Prediction of Type 2 Diabetes
Oana Vîrgolici, Laura Gabriela Tănăsescu
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Remnant Cholesterol Is an Independent Predictor of Type 2 Diabetes: A Nationwide Population-Based Cohort Study
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A scoping review of artificial intelligence-based methods for diabetes risk prediction
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Development of Various Diabetes Prediction Models Using Machine Learning Techniques
Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
Diabetes & Metabolism Journal.2022; 46(4): 650. CrossRef
Prediction Model for Hypertension and Diabetes Mellitus Using Korean Public Health Examination Data (2002–2017)
Yong Whi Jeong, Yeojin Jung, Hoyeon Jeong, Ji Hye Huh, Ki-Chul Sung, Jeong-Hun Shin, Hyeon Chang Kim, Jang Young Kim, Dae Ryong Kang
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Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
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Guideline/Fact Sheet
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

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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.

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Inhibition of sodium-glucose cotransporter-2 and liver-related complications in individuals with diabetes: a Mendelian randomization and population-based cohort study
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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
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Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
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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
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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
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
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Diabetes, Obesity and Metabolism.2023; 25(1): 110. CrossRef
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Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
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Effects of a DPP-4 Inhibitor and RAS Blockade on Clinical Outcomes of Patients with Diabetes and COVID-19 (Diabetes Metab J 2021;45:251-9): Sang Youl Rhee; Diabetes Metab J. 2021;45(4):619-620. Published online July 30, 2021; DOI: https://doi.org/10.4093/dmj.2021.0118

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COVID-19 Outcomes and Diabetes Mellitus: A Comprehensive Multicenter Prospective Cohort Study
Karolina Akinosoglou, Georgios Schinas, Evanthia Bletsa, Magdaline Bristianou, Leonidas Lanaras, Charalambos Michailides, Theodoros Katsikas, Fotios Barkas, Evangelos Liberopoulos, Vasileios Kotsis, Konstantinos Tentolouris, Pinelopi Grigoropoulou, Archon
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COVID-19
Effects of a DPP-4 Inhibitor and RAS Blockade on Clinical Outcomes of Patients with Diabetes and COVID-19: Sang Youl Rhee, Jeongwoo Lee, Hyewon Nam, Dae-Sung Kyoung, Dong Wook Shin, Dae Jung Kim; Diabetes Metab J. 2021;45(2):251-259. Published online March 5, 2021; DOI: https://doi.org/10.4093/dmj.2020.0206

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Background
Dipeptidyl peptidase-4 inhibitor (DPP-4i) and renin-angiotensin system (RAS) blockade are reported to affect the clinical course of coronavirus disease 2019 (COVID-19) in patients with diabetes mellitus (DM).
Methods
As of May 2020, analysis was conducted on all subjects who could confirm their history of claims related to COVID-19 in the National Health Insurance Review and Assessment Service (HIRA) database in Korea. Using this dataset, we compared the short-term prognosis of COVID-19 infection according to the use of DPP-4i and RAS blockade. Additionally, we validated the results using the National Health Insurance Service (NHIS) of Korea dataset.
Results
Totally, data of 67,850 subjects were accessible in the HIRA dataset. Of these, 5,080 were confirmed COVID-19. Among these, 832 subjects with DM were selected for analysis in this study. Among the subjects, 263 (31.6%) and 327 (39.3%) were DPP4i and RAS blockade users, respectively. Thirty-four subjects (4.09%) received intensive care or died. The adjusted odds ratio for severe treatment among DPP-4i users was 0.362 (95% confidence interval [CI], 0.135 to 0.971), and that for RAS blockade users was 0.599 (95% CI, 0.251 to 1.431). These findings were consistent with the analysis based on the NHIS data using 704 final subjects. The adjusted odds ratio for severe treatment among DPP-4i users was 0.303 (95% CI, 0.135 to 0.682), and that for RAS blockade users was 0.811 (95% CI, 0.391 to 1.682).
Conclusion
This study suggests that DPP-4i is significantly associated with a better clinical outcome of patients with COVID-19.

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Technology/Device
Present and Future of Digital Health in Diabetes and Metabolic Disease: Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl; Diabetes Metab J. 2020;44(6):819-827. Published online December 23, 2020; DOI: https://doi.org/10.4093/dmj.2020.0088

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Abstract PDF PubReader ePub

The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

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Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review
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Analysis of the management and therapeutic performance of diabetes mellitus employing special target
Hong-Yan Sun, Xiao-Yan Lin
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Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review
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Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
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Frontiers in Immunology.2022;[Epub] CrossRef
Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study
‪Yifat Fundoiano-Hershcovitz, Dror Bacher, Marilyn D Ritholz, David L Horwitz, Omar Manejwala, Pavel Goldstein
Journal of Medical Internet Research.2022; 24(2): e32923. CrossRef
The effectiveness of a structured group education programme for people with established type 2 diabetes in a multi-ethnic population in primary care: A cluster randomised trial
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Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus—a study protocol
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Clinical Care/Education
2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea: Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu, Dae Jung Kim, Hyuk-Sang Kwon, Kyong Soo Park; Diabetes Metab J. 2019;43(4):398-406. Published online August 20, 2019; DOI: https://doi.org/10.4093/dmj.2019.0137

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