- Metabolic Risk/Epidemiology
- Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
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Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
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Diabetes Metab J. 2021;45(6):960-965. Published online March 17, 2021
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DOI: https://doi.org/10.4093/dmj.2020.0225
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Abstract
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- The aims of this study were to determine the short-term effectiveness of an internet-based lifestyle modification (LSM) program in preventing the onset of type 2 diabetes mellitus (T2DM) in prediabetes patients in community settings. A total of 415 subjects who were diagnosed with prediabetes were randomly assigned to the LSM and standard management (SM) groups. After the 6-month intervention, the LSM group had a statistically significant reduction in body weight, body mass index compared to the SM group participants. In the LSM group, blood glucose levels were significantly decreased after intervention and the clinical improvement effect was evident in the group that achieved the target weight loss of 5% or more of the initial weight for 6 months. Internet-based 6-month-intensive LSM programs conducted by public health center personnel are an effective way to provide lifestyle intervention programs and encourage maintenance of healthy behaviors in subjects with a high risk of T2DM in community settings.
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- Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis
Teketo Kassaw Tegegne, Desalegn Markos Shifti, Jonathan Charles Rawstorn, Paul Jansons, Yuxin Zhang, Reza Daryabeygikhotbehsara, Sheikh Mohammed Shariful Islam, Ralph Maddison Health Policy and Technology.2024; 13(3): 100879. CrossRef - 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 Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef - U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes
Hanbin Guo, Yibiao Xiao, Canlin Liao, Jiating Sun, Yanchun Xie, Yitong Zheng, Guanhua Fan Frontiers in Endocrinology.2023;[Epub] CrossRef - Innovation in diabetes prevention research: The 36-year legacy of China Da Qing diabetes prevention study
Xin Chai, Yachen Wang, Jinping Wang, Qiuhong Gong, Juan Zhang, Ruitai Shao Chinese Science Bulletin.2023; 68(28-29): 3834. 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 - Prevention of type 2 diabetes through remotely administered lifestyle programs: A systematic review
Valaree Villegas, Alisha Shah, JoAnn E. Manson, Deirdre K. Tobias Contemporary Clinical Trials.2022; 119: 106817. CrossRef - 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
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, Diabetes & Metabolism Journal.2021; 45(4): 461. CrossRef - 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Seung-Hyun Ko The Journal of Korean Diabetes.2021; 22(4): 244. CrossRef
- Complications
- Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus
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Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
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Diabetes Metab J. 2016;40(6):463-472. Published online October 5, 2016
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DOI: https://doi.org/10.4093/dmj.2016.40.6.463
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- Background
We investigated an association between baseline heart rate-corrected QT (QTc) interval before severe hypoglycemia (SH) and prolongation of QTc interval during SH in patients with type 2 diabetes mellitus (T2DM). MethodsBetween January 2004 and June 2014, 208 patients with T2DM, who visited the emergency department because of SH and underwent standard 12-lead electrocardiography within the 6-month period before SH were consecutively enrolled. The QTc interval was analyzed during the incidence of SH, and 6 months before and after SH. QTc intervals of 450 ms or longer in men and 460 ms or longer in women were considered abnormally prolonged. ResultsThe mean age and diabetes duration were 68.1±12.1 and 14.1±10.1 years, respectively. The mean QTc intervals at baseline and SH episodes were 433±33 and 460±33 ms, respectively (P<0.001). One hundred and fourteen patients (54.8%) had a prolonged QTc interval during SH. There was a significant decrease in the prolonged QTc interval within 6 months after SH (QTc interval prolongation during SH vs. after recovery, 54.8% vs. 33.8%, P<0.001). The prolonged QTc interval was significantly associated with baseline QTc interval prolongation (odds ratio, 2.92; 95% confidence interval, 1.22 to 6.96; P=0.016) after adjusting for multiple confounders. ConclusionA prolonged QTc interval at baseline was significantly associated with prolongation of the QTc interval during SH in patients with T2DM, suggesting the necessity of QTc interval monitoring and attention to those with a prolonged QTc interval to prevent SH.
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- Prevalence of QT prolongation and its risk factors in patients with type 2 diabetes
Khaled Aburisheh, Mohammad F. AlKheraiji, Saleh I. Alwalan, Arthur C. Isnani, Mohamed Rafiullah, Muhammad Mujammami, Assim A. Alfadda BMC Endocrine Disorders.2023;[Epub] CrossRef - U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
Xiao Liu, Ayiguli Abudukeremu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Jianyong Ma, Runlu Sun, Wanbing He, Zhiteng Chen, Yangxin Chen, Peng Yu, Wengen Zhu, Yuling Zhang, Jingfeng Wang Cardiovascular Diabetology.2023;[Epub] CrossRef - Celebrities in the heart, strangers in the pancreatic beta cell: Voltage‐gated potassium channels Kv7.1 and Kv11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes
Anniek F. Lubberding, Christian R. Juhl, Emil Z. Skovhøj, Jørgen K. Kanters, Thomas Mandrup‐Poulsen, Signe S. Torekov Acta Physiologica.2022;[Epub] 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 - Heart rate-corrected QT interval prolongation is associated with decreased heart rate variability in patients with type 2 diabetes
Seon-Ah Cha Medicine.2022; 101(45): e31511. CrossRef - Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
Soo-Yeon Choi, Seung-Hyun Ko The Korean Journal of Internal Medicine.2021; 36(2): 263. CrossRef - Review of the cardiovascular safety of dipeptidyl peptidase-4 inhibitors and the clinical relevance of the CAROLINA trial
Marile Santamarina, Curt J. Carlson BMC Cardiovascular Disorders.2019;[Epub] CrossRef - Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang Biochemical and Biophysical Research Communications.2018; 495(1): 693. CrossRef - Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn Journal of Diabetes and its Complications.2018; 32(2): 157. CrossRef - Incidence of prolonged QTc and severe hypoglycemia in type 1 diabetes: the EURODIAB Prospective Complications Study
Cristina Amione, Sara Giunti, Paolo Fornengo, Sabita S. Soedamah-Muthu, Nish Chaturvedi, J. H. Fuller, Federica Barutta, Gabriella Gruden, Graziella Bruno Acta Diabetologica.2017; 54(9): 871. CrossRef
- Complications
- Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
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Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
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Diabetes Metab J. 2016;40(6):482-493. Published online October 5, 2016
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DOI: https://doi.org/10.4093/dmj.2016.40.6.482
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- Background
We investigated clinical course and risk factors for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). MethodsA total of 759 patients with T2DM without DR were included from January 2001 to December 2004. Retinopathy evaluation was performed at least annually by ophthalmologists. The severity of the DR was classified into five categories according to the International Clinical Diabetic Retinopathy Severity Scales. ResultsOf the 759 patients, 523 patients (68.9%) completed the follow-up evaluation. During the follow-up period, 235 patients (44.9%) developed DR, and 32 patients (13.6%) progressed to severe nonproliferative DR (NPDR) or proliferative DR (PDR). The mean duration of diabetes at the first diagnosis of mild NPDR, moderate NPDR, and severe NPDR or PDR were 14.8, 16.7, and 17.3 years, respectively. After adjusting multiple confounding factors, the significant risk factors for the incidence of DR risk in patients with T2DM were old age, longer duration of diabetes, higher mean glycosylated hemoglobin (HbA1c), and albuminuria. Even in the patients who had been diagnosed with diabetes for longer than 10 years at baseline, a decrease in HbA1c led to a significant reduction in the risk of developing DR (hazard ratio, 0.73 per 1% HbA1c decrement; 95% confidence interval, 0.58 to 0.91; P=0.005). ConclusionThis prospective cohort study demonstrates that glycemic control, diabetes duration, age, and albuminuria are important risk factors for the development of DR. More aggressive retinal screening for T2DM patients diagnosed with DR should be required in order to not miss rapid progression of DR.
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Zahra Heidari, Zahra Sharafi Iranian South Medical Journal.2022; 25(1): 30. CrossRef - The Related Risk Factors of Diabetic Retinopathy in Elderly Patients with Type 2 Diabetes Mellitus: A Hospital-Based Cohort Study in Taiwan
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AJin Cho, Hayne Cho Park, Young-Ki Lee, Young Joo Shin, So Hyun Bae, Hakyoung Kim Journal of Diabetes Research.2020; 2020: 1. CrossRef - First nation-wide study of diabetic retinopathy in Poland in the years 2013–2017
Milena Kozioł, Michał S. Nowak, Monika Udziela, Paweł Piątkiewicz, Iwona Grabska-Liberek, Jacek P. Szaflik Acta Diabetologica.2020; 57(10): 1255. CrossRef - Awareness of diabetic retinopathy among Saudis with diabetes type 2 in Riyadh city
YousefM Alluhaymid, FawzanY Alotaibi, AbdulmajeedB Alotaibi, AbdullahM Albasha, AbdulrahmanS Alnaim, EssaM Sabi, AhmedH Mujamammi Journal of Family Medicine and Primary Care.2020; 9(8): 4229. CrossRef - Relationship between Clinical Features of Diabetic Retinopathy and Systemic Factors in Patients with Newly Diagnosed Type II Diabetes Mellitus
Hyeseong Hwang, Jin Young Kim, Tae Keun Oh, Ju Byung Chae, Dong Yoon Kim Journal of Korean Medical Science.2020;[Epub] CrossRef - Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders
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Rizwana Parveen, Pinki Mishra, Reema Singh, Prem Kapur, Nidhi B. Agarwal Annals of the National Academy of Medical Sciences (India).2020; 53: 156. CrossRef - Protective factors for diabetic retinopathy in Type 2 diabetes mellitus patients: Long duration of no less than 10 years
Yanli Liu, Chunwen Duan, Dejia Fang, Yi Liu, Hanchun Xu, Yarong Zheng, Yaling Xuan, Lili Wang, Lin Ye, Rui Su, Meixia An Journal of Diabetes and its Complications.2019; 33(10): 107383. CrossRef - Incidence of sight‐threatening diabetic retinopathy in people with Type 2 diabetes mellitus and numbers needed to screen: a systematic review
Y. Groeneveld, D. Tavenier, J.W. Blom, B.C.P. Polak Diabetic Medicine.2019; 36(10): 1199. CrossRef - Association between spousal diabetes status and diabetic retinopathy in Chinese patients with type 2 diabetes
Mei Yang, Yu Liu, Cuihong Wen, Beirui Wu, Xu Wan, Wei Luan, Jie Shen, Wei Liu, Jing Ma Diabetes and Vascular Disease Research.2019; 16(5): 474. CrossRef - Presence of diabetic retinopathy is lower in type 2 diabetic patients with non-alcoholic fatty liver disease
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Angela Moh, Kumari Neelam, Xiao Zhang, Chee Fang Sum, Subramaniam Tavintharan, Keven Ang, Simon Biing Ming Lee, Wern Ee Tang, Su Chi Lim Endocrine Research.2018; 43(3): 186. CrossRef - RNA sequencing identified specific circulating miRNA biomarkers for early detection of diabetes retinopathy
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Ping Zhu, Xiong-Fei Pan, Liting Sheng, Henggui Chen, An Pan Current Diabetes Reports.2017;[Epub] CrossRef - Response: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
Sang Youl Rhee, Jeong-Taek Woo Diabetes & Metabolism Journal.2017; 41(6): 494. CrossRef - Letter: Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea (Diabetes Metab J2016;40:482-93)
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- Complications
- Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
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Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
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Diabetes Metab J. 2016;40(3):202-210. Published online April 5, 2016
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DOI: https://doi.org/10.4093/dmj.2016.40.3.202
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- Background
We investigated the association between severe hypoglycemia (SH) and the risk of cardiovascular (CV) or all-cause mortality in patients with type 2 diabetes. MethodsThe study included 1,260 patients aged 25 to 75 years with type 2 diabetes from the Vincent Type 2 Diabetes Resgistry (VDR), who consecutively enrolled (n=1,260) from January 2000 to December 2010 and were followed up until May 2015 with a median follow-up time of 10.4 years. Primary outcomes were death from any cause or CV death. We investigated the association between the CV or all-cause mortality and various covariates using Cox proportional hazards regression analysis. ResultsAmong the 906 participants (71.9%) who completed follow-up, 85 patients (9.4%) had at least one episode of SH, and 86 patients (9.5%) died (9.1 per 1,000 patient-years). Patients who had died were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline, as compared with surviving patients. The experience of SH was significantly associated with an increased risk of all-cause mortality (hazard ratio [HR], 2.64; 95% confidence interval [CI], 1.39 to 5.02; P=0.003) and CV mortality (HR, 6.34; 95% CI, 2.02 to 19.87; P=0.002) after adjusting for sex, age, diabetic duration, hypertension, mean glycosylated hemoglobin levels, diabetic nephropathy, lipid profiles, and insulin use. ConclusionWe found a strong association between SH and increased risk of all-cause and CV mortality in patients with type 2 diabetes.
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