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Original Article
- 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
- 3,041 View
- 289 Download
- 1 Crossref
Response
- Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015) (Diabetes Metab J 2021;45:115-9)
- Seong-Su Moon, Chong Hwa Kim, Seon Mee Kang, Eun Sook Kim, Tae Jung Oh, Jae-Seung Yun, Ho Chan Cho, Dae Jung Kim, Tae Sun Park
- Diabetes Metab J. 2021;45(3):459-460. Published online May 25, 2021
- DOI: https://doi.org/10.4093/dmj.2021.0084
- 4,242 View
- 96 Download
- 1 Web of Science
- 1 Crossref
Brief Report
- Complications
- Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015)
- Seong-Su Moon, Chong Hwa Kim, Seon Mee Kang, Eun Sook Kim, Tae Jung Oh, Jae-Seung Yun, Ho Chan Cho, Dae Jung Kim, Tae Sun Park
- Diabetes Metab J. 2021;45(1):115-119. Published online December 18, 2020
- DOI: https://doi.org/10.4093/dmj.2020.0120
- 7,980 View
- 304 Download
- 13 Web of Science
- 12 Crossref
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Abstract
PDF
Supplementary Material
PubReader 
ePub - This report presents the status of diabetic neuropathy (DN) in Korea as determined using a National Health Insurance ServiceNational Sample Cohort (NHIS-NSC). Annual prevalences of DN were estimated by age and gender using descriptive statistics. Pharmacological treatments for DN were also analyzed. The annual prevalence of DN increased from 24.9% in 2006 to 26.6% in 2007, and thereafter, gradually subsided to 20.8% in 2015. In most cases, pharmacological treatments involved a single drug, which accounted for 91.6% of total prescriptions in 2015. The most commonly used drugs (in decreasing order) were thioctic acid, an anti-convulsive agent, or a tricyclic antidepressant. In conclusion, the prevalence of DN decreased over the 10-year study period. Thioctic acid monotherapy was usually prescribed for DN. To reduce the socio-economic burden of DN, more attention should be paid to the diagnosis of this condition and to the appropriate management of patients.
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Citations
Citations to this article as recorded by
- Diabetic Neuropathy: A Guide to Pain Management
Emily X. Zhang, Cyrus Yazdi, Rahib K. Islam, Ahmed I. Anwar, Alana Alvares-Amado, Horace Townsend, Kaitlyn E. Allen, Elena Plakotaris, Jon D. Hirsch, Ross G. Rieger, Varsha Allampalli, Jamal Hasoon, Kazi N. Islam, Sahar Shekoohi, Alan D. Kaye, Christopher
Current Pain and Headache Reports.2024; 28(10): 1067. CrossRef - Recent Trends in Diabetic and Nondiabetic Neuropathies: A Retrospective Hospital-based Nationwide Cohort Study
Horatiu F. Coman, Adriana Rusu, Norina A. Gavan, Cosmina I. Bondor, Alexandru D. Gavan, Cornelia G. Bala
Endocrine Practice.2024; 30(10): 901. CrossRef - Risk of cardiovascular events according to the tricyclic antidepressant dosage in patients with chronic pain: a retrospective cohort study
Hyunji Koo, Seung Hun You, Sewon Park, Kyeong Hye Jeong, Nakyung Jeon, Sun-Young Jung
European Journal of Clinical Pharmacology.2023; 79(1): 159. CrossRef - How does diabetic peripheral neuropathy impact patients' burden of illness and the economy? A retrospective study in Beijing, China
Qi Pan, Sijia Fei, Lina Zhang, Huan Chen, Jingyi Luo, Weihao Wang, Fei Xiao, Lixin Guo
Frontiers in Public Health.2023;[Epub] 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 - Pharmacological and Nonpharmacological Treatments for Painful Diabetic Peripheral Neuropathy
Han Na Jang, Tae Jung Oh
Diabetes & Metabolism Journal.2023; 47(6): 743. CrossRef - Are herbal medicines alone or in combination for diabetic peripheral neuropathy more effective than methylcobalamin alone? A systematic review and meta-analysis
Chang-Woo Lee, Joon-Soo Jin, Seungwon Kwon, Chul Jin, Seung-Yeon Cho, Seong-Uk Park, Woo-Sang Jung, Sang-Kwan Moon, Jung-Mi Park, Chang-Nam Ko, Ki-Ho Cho
Complementary Therapies in Clinical Practice.2022; 49: 101657. CrossRef - Pathogenesis and Treatment of Diabetic Peripheral Neuropathy
Seon Mee Kang
The Journal of Korean Diabetes.2022; 23(4): 222. CrossRef - Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015) (Diabetes Metab J 2021;45:115-9)
Seong-Su Moon, Chong Hwa Kim, Seon Mee Kang, Eun Sook Kim, Tae Jung Oh, Jae-Seung Yun, Ho Chan Cho, Dae Jung Kim, Tae Sun Park
Diabetes & Metabolism Journal.2021; 45(3): 459. CrossRef - Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015) (Diabetes Metab J 2021;45:115-9)
Tímea Csákvári, Diána Elmer, Lilla Horváth, Imre Boncz
Diabetes & Metabolism Journal.2021; 45(3): 454. 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 - Diffculties and ways to overcome them in selection of therapy for pain syndromes in patients with diabetes mellitus
K. A. Makhinov, P. R. Kamchatnov
Medical alphabet.2021; (22): 25. CrossRef
- Diabetic Neuropathy: A Guide to Pain Management
Original Articles
- A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
- Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
- Diabetes Metab J. 2011;35(1):50-57. Published online February 28, 2011
- DOI: https://doi.org/10.4093/dmj.2011.35.1.50
- 7,327 View
- 31 Download
- 23 Crossref
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Abstract
PDFPubReader
Background Advanced information technology can be used when developing diagnostic and treatment strategies to provide better care for diabetic patients. However, the levels of need and demand for the use of technological advances have not been investigated in diabetic patients. We proposed and developed an individualized, ubiquitous (U)-healthcare service using advanced information technology for more effective glucose control. Prior to our service initiation, we surveyed patient needs and other pertinent information.
Methods During August 2009, we conducted a 34-item questionnaire survey among patients with diabetes who were older than 40 years in two certain hospitals in Korea.
Results The mean age of the 228 participants was 61.2±9 years, and males made up 49.1% of the sample. Seventy-one percent replied that they wanted individualized healthcare service, and they also wanted their health information to be delivered through mobile devices such as a cellular phone or a personal digital assistant (40.4%). Most patients had never heard of U-healthcare services (81.1%); however, after explaining the concept, 71.1% of participants responded that they would use the service if it was provided. Despite their willingness, participants were concerned about technical difficulty in using the service (26.3%) as well as the cost of the service (29.8%).
Conclusion The current study suggests that more than 70% of diabetic patients are interested in using U-healthcare services. To encourage widespread use, the application program or device of U-healthcare services should be simple, easy to use and affordable while also including a policy for the protection of private information.
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Citations
Citations to this article as recorded by- Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
Agmasie Damtew Walle, Tigist Andargie Ferede, Adamu Ambachew Shibabaw, Sisay Maru Wubante, Habtamu Alganeh Guadie, Chalachew Msganaw Yehula, Addisalem Workie Demsash
BMJ Health & Care Informatics.2023; 30(1): e100761. CrossRef - Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
Journal of Medical Systems.2020;[Epub] CrossRef - Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population
Sireen Abdul Rahim Shilbayeh, Sahar Abd El Rahman Ismail, Meihua Qian
Cogent Psychology.2020;[Epub] CrossRef - Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial
Ji Yun Jeong, Jae-Han Jeon, Kwi-Hyun Bae, Yeon-Kyung Choi, Keun-Gyu Park, Jung-Guk Kim, Kyu Chang Won, Bong Soo Cha, Chul Woo Ahn, Dong Won Kim, Chang Hee Lee, In-Kyu Lee
Telemedicine and e-Health.2018; 24(8): 604. CrossRef - Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
Diabetes & Metabolism Journal.2017; 41(3): 213. CrossRef - Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study
Tomomi Shibuta, Kayo Waki, Nobuko Tomizawa, Ayumi Igarashi, Noriko Yamamoto-Mitani, Satoko Yamaguchi, Hideo Fujita, Shigeko Kimura, Katsuhito Fujiu, Hironori Waki, Yoshihiko Izumida, Takayoshi Sasako, Masatoshi Kobayashi, Ryo Suzuki, Toshimasa Yamauchi, T
BMJ Open Diabetes Research & Care.2017; 5(1): e000322. CrossRef - Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial
Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
JMIR Medical Informatics.2016; 4(4): e32. CrossRef - Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial
Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Mahmood Tara
JMIR Research Protocols.2016; 5(1): e39. CrossRef - Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
Telemedicine and e-Health.2016; 22(8): 666. CrossRef - Environment and Its Influence on Health and Demographics in South Korea
Ramiro Bravo Santisteban, Young Kim, Umar Farooq, Tae-Seong Kim, Sekyoung Youm, Seung-Hun Park
International Journal of Environmental Research and Public Health.2016; 13(2): 183. CrossRef - U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service
Ramiro D. Bravo Santisteban, Sekyoung Youm, Seung-Hun Park
Telemedicine and e-Health.2015; 21(10): 774. CrossRef - Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare
Mi Jung Rho, Kun Ho Yoon, Hun-Sung Kim, In Young Choi
Multimedia Tools and Applications.2015; 74(7): 2483. CrossRef - An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
Hsueh-Chun Lin, Shu-Yin Chiang, Kai Lee, Yao-Chiang Kan
Sensors.2015; 15(1): 2181. CrossRef - Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
Healthcare Informatics Research.2015; 21(4): 244. CrossRef - New Directions in Chronic Disease Management
Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
Endocrinology and Metabolism.2015; 30(2): 159. CrossRef - Using mobile phones in healthcare management for the elderly
Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
Maturitas.2014; 79(4): 381. CrossRef - Future Prospects of Health Management Systems Using Cellular Phones
Hun-Sung Kim, Yunji Hwang, Jae-Ho Lee, Hye Young Oh, Yi-Jun Kim, Hyeon Yoon Kwon, Hyoseung Kang, Hyunah Kim, Rae Woong Park, Ju Han Kim
Telemedicine and e-Health.2014; 20(6): 544. CrossRef - Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control
Mi Jung Rho, Si Ra Kim, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Seong K. Mun, In Young Choi
Telemedicine and e-Health.2014; 20(8): 712. CrossRef - Impact of Information Technology on the Therapy of Type-1 Diabetes: A Case Study of Children and Adolescents in Germany
Rolf-Dietrich Berndt, Claude Takenga, Petra Preik, Sebastian Kuehn, Luise Berndt, Herbert Mayer, Alexander Kaps, Ralf Schiel
Journal of Personalized Medicine.2014; 4(2): 200. CrossRef - Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users
Jaebeom Lee, Mi Jung Rho
Healthcare Informatics Research.2013; 19(3): 167. CrossRef - Telerehabilitation Needs: A Bidirectional Survey of Health Professionals and Individuals with Spinal Cord Injury in South Korea
Jongbae Kim, Shinyoung Lim, Jayeon Yun, Da-hye Kim
Telemedicine and e-Health.2012; 18(9): 713. CrossRef - Development of a smartphone-based diabetes self-care management system
Sang Youl Rhee, Jeong-taek Woo, Young Seol Kim, Young Kil Choi
Personalized Medicine Universe.2012; 1(1): 85. CrossRef - Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
Journal of Medical Internet Research.2011; 13(3): e65. CrossRef
- Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
- The Correlation and Accuracy of Glucose Levels between Interstitial Fluid and Venous Plasma by Continuous Glucose Monitoring System
- Young Ha Baek, Heung Yong Jin, Kyung Ae Lee, Seon Mee Kang, Woong Ji Kim, Min Gul Kim, Ji Hyun Park, Soo Wan Chae, Hong Sun Baek, Tae Sun Park
- Korean Diabetes J. 2010;34(6):350-358. Published online December 31, 2010
- DOI: https://doi.org/10.4093/kdj.2010.34.6.350
- 5,652 View
- 58 Download
- 14 Crossref
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Abstract
PDFPubReader
Background Clinical experience with the continuous glucose monitoring systems (CGMS) is limited in Korea. The objective of this study is to evaluate the accuracy of the CGMS and the correlation between interstitial fluid and venous plasma glucose level in Korean healthy male subjects.
Methods Thirty-two subjects were served with glucose solution contained same amount of test food's carbohydrate and test foods after separate overnight fasts. CGMS was performed over 3 days during hopitalization for each subjects. Venous plasma glucose measurements were carried out during 4 hours (0, 0.25, 0.5, 0.75, 1, 2, 4 hours) just before and after glucose solution and test food load. The performance of the CGMS was evaluated by comparing its readings to those obtained at the same time by the hexokinase method using the auto biochemistry machine (Hitachi 7600-110). Also, correlations between glucose recorded with CGMS and venous plasma glucose value were examined.
Results CGMS slightly underestimated the glucose value as compared with the venous plasma glucose level (16.3 ± 22.2 mg/dL). Correlation between CGMS and venous plasma glucose values throughout sensor lifetime is 0.73 (regression analysis: slope = 1.08, intercept = 8.38 mg/dL). Sensor sensitivity can deteriorate over time, with correlations between venous blood glucose and CGMS values dropping from 0.77 during 1st day to 0.65 during 2nd and 3rd day.
Conclusion The accuracy of data provided by CGMS may be less than expected. CGMS sensor sensitivity is decreased with the passage of time. But, from this study, CGMS can be used for glucose variability tendency monitoring conveniently to the Korean.
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Citations
Citations to this article as recorded by- Evaluation of the performance and usability of a novel continuous glucose monitoring system
Li Yan, Qiang Li, Qingbo Guan, Mingsong Han, Yu Zhao, Junfei Fang, Jiajun Zhao
International Journal of Diabetes in Developing Countries.2023; 43(4): 551. CrossRef - Correlation between short- and mid-term hemoglobin A1c and glycemic control determined by continuous glucose monitoring
Jen-Hung Huang, Yung-Kuo Lin, Ting-Wei Lee, Han-Wen Liu, Yu-Mei Chien, Yu-Chun Hsueh, Ting-I Lee, Yi-Jen Chen
Diabetology & Metabolic Syndrome.2021;[Epub] CrossRef - Accuracy of Flash Glucose Monitoring During Postprandial Rest and Different Walking Conditions in Overweight or Obese Young Adults
Xiaoyuan Zhang, Fenghua Sun, Waris Wongpipit, Wendy Y. J. Huang, Stephen H. S. Wong
Frontiers in Physiology.2021;[Epub] CrossRef - The MEDGICarb-Study: Design of a multi-center randomized controlled trial to determine the differential health-promoting effects of low- and high-glycemic index Mediterranean-style eating patterns
Robert E. Bergia, Izabela Biskup, Rosalba Giacco, Giuseppina Costabile, Savanna Gray, Amy Wright, Marilena Vitale, Wayne W. Campbell, Rikard Landberg, Gabriele Riccardi
Contemporary Clinical Trials Communications.2020; 19: 100640. CrossRef - A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives
I. De Falco, A. Della Cioppa, A. Giugliano, A. Marcelli, T. Koutny, M. Krcma, U. Scafuri, E. Tarantino
Applied Soft Computing.2019; 77: 316. CrossRef - Genetic Programming-based induction of a glucose-dynamics model for telemedicine
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
Journal of Network and Computer Applications.2018; 119: 1. CrossRef - A high-accuracy measurement method of glucose concentration in interstitial fluid based on microdialysis
Dachao Li, Qingmei Xu, Yu Liu, Ridong Wang, Kexin Xu, Haixia Yu
Measurement Science and Technology.2017; 28(11): 115701. CrossRef - Effects of Higher Dietary Protein and Fiber Intakes at Breakfast on Postprandial Glucose, Insulin, and 24-h Interstitial Glucose in Overweight Adults
Akua Amankwaah, R. Sayer, Amy Wright, Ningning Chen, Megan McCrory, Wayne Campbell
Nutrients.2017; 9(4): 352. CrossRef - High Surface Area Electrodes Generated via Electrochemical Roughening Improve the Signaling of Electrochemical Aptamer-Based Biosensors
Netzahualcóyotl Arroyo-Currás, Karen Scida, Kyle L. Ploense, Tod E. Kippin, Kevin W. Plaxco
Analytical Chemistry.2017; 89(22): 12185. CrossRef - Hyperglycemia-Induced Changes in Hyaluronan Contribute to Impaired Skin Wound Healing in Diabetes: Review and Perspective
Sajina Shakya, Yan Wang, Judith A. Mack, Edward V. Maytin
International Journal of Cell Biology.2015; 2015: 1. CrossRef - Hypoglycemia in everyday life after gastric bypass and duodenal switch
Niclas Abrahamsson, Britt Edén Engström, Magnus Sundbom, F Anders Karlsson
European Journal of Endocrinology.2015; 173(1): 91. CrossRef - The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas
Melanie K Bothe, Luke Dickens, Katrin Reichel, Arn Tellmann, Björn Ellger, Martin Westphal, Ahmed A Faisal
Expert Review of Medical Devices.2013; 10(5): 661. CrossRef - Continuous glucose monitoring: current clinical use
Hun‐Sung Kim, Jeong‐Ah Shin, Jin‐Sun Chang, Jae‐Hyoung Cho, Ho‐Young Son, Kun‐Ho Yoon
Diabetes/Metabolism Research and Reviews.2012; 28(s2): 73. CrossRef - Correlations of Glucose Levels in Interstitial Fluid Estimated by Continuous Glucose Monitoring Systems and Venous Plasma
Byung-Joon Kim
Korean Diabetes Journal.2010; 34(6): 338. CrossRef
- Evaluation of the performance and usability of a novel continuous glucose monitoring system
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