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Review Article
Diabetes, obesity and metabolism
Advances in Continuous Glucose Monitoring: Clinical Applications
So Yoon Kwon, Jun Sung Moon
Endocrinol Metab. 2025;40(2):161-173.   Published online April 8, 2025
DOI: https://doi.org/10.3803/EnM.2025.2370
  • 29,005 View
  • 767 Download
  • 15 Web of Science
  • 22 Crossref
AbstractAbstract PDFPubReader   ePub   
Continuous glucose monitoring (CGM) has revolutionized diabetes management, significantly enhancing glycemic control across diverse patient populations. Recent evidence supports its effectiveness in both type 1 and type 2 diabetes management, with benefits extending beyond traditional glucose monitoring approaches. CGM has demonstrated substantial improvements in glycemic control across multiple metrics. Studies report consistent glycosylated hemoglobin reductions of 0.25%–3.0% and notable time in range improvements of 15%–34%. CGM effectively reduces hypoglycemic events, with studies reporting significant reductions in time spent in hypoglycemia. CGM also serves as an educational tool for lifestyle modification, providing real-time feedback that helps patients understand how diet and physical activity affect glucose levels. While skin-related complications remain a concern, technological advancements have addressed many initial concerns. High satisfaction rates and long-term use suggest that device-related issues are manageable with proper education and support. Despite high initial costs, CGM’s prevention of complications and hospitalizations ultimately reduces healthcare expenditures. With appropriate training and support, CGM represents a transformative technology for comprehensive diabetes care.

Citations

Citations to this article as recorded by  
  • Advancements in Continuous Glucose Monitoring: a Revolution in Diabetes Management
    Kondreddy Vinod Kumar, Kamal Raj Yerraguntla, Maruthi Prasad Jenne, Abhilash Gadi, Akhila Sepoori, Anusha Gunda, Madhu Sri Gudivada
    Biomedical Materials & Devices.2026; 4(3): 3126.     CrossRef
  • Advancements in glucose biosensors: Innovations for wearable and real-time monitoring
    Reetu Singh, Priyanshu Nema, Arpana Purohit, Satyamshyam Vishwakarma, Shyamji Tantuway, Pradhumn Namdeo, Ajay Kumar, Vandana Soni, Sushil Kumar Kashaw
    Talanta.2026; 299: 129045.     CrossRef
  • Continuous glucose monitoring in high-risk individuals
    Zhiyue Chen, Yinbei Zhang, Lin Sun, Weiying Guo
    Clinica Chimica Acta.2026; 580: 120733.     CrossRef
  • Scoping review of subcutaneous glucose monitoring techniques
    Eva Hrubá, Jan Kubíček, Martin Augustynek
    Measurement.2026; 261: 119940.     CrossRef
  • Continuous Glucose Monitoring for Pancreatogenic Diabetes After Total Pancreatectomy
    Young Jae Cho, Inhyuck Lee, Yoon Soo Chae, Go‐Won Choi, Younsoo Seo, Youngmin Han, Hye‐sol Jung, Wooil Kwon, Joon Seong Park, Jin‐Young Jang
    Journal of Hepato-Biliary-Pancreatic Sciences.2026; 33(3): 208.     CrossRef
  • Use of continuous glucose monitoring in non-intensively managed type 2 diabetes: a Saudi Arabian consensus
    Mohammed Almehthel, Abdulghani Al-Saeed, Fahad Al-Sabaan, Faisal Al-Malky, Hawazen Zarif, Lamya Al-Zubaidi, Mohammed E. Al-Sofiani, Omar Abdulaal, Reem Al Argan, Saud Al Sifri, Turki Al-Harbi, Raed Aldahash
    Frontiers in Endocrinology.2026;[Epub]     CrossRef
  • Wearable microneedle sensors for continuous interstitial fluid monitoring
    Junghyun Cho, Heeju Son, Jayoung Kim, Hyun Seok Song, Wonryung Lee
    Biosensors and Bioelectronics.2026; 297: 118385.     CrossRef
  • Efficacy of an AI-Enabled Low Glucose Prediction: A Pooled Performance Analysis With Capillary Blood Glucose as Ground Truth
    Timor Glatzer, Ajandek Peak, Eemeli Leppäaho, Patrick Lustenberger, Pau Herrero, Magí Andorrà, Ellen van Maren
    Journal of Diabetes Science and Technology.2026;[Epub]     CrossRef
  • Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
    Bernardo A. Vicente, Raquel Sebastião, Alda Marques, Vitor Sencadas
    Advanced Materials Technologies.2026;[Epub]     CrossRef
  • Toward continuous and non-invasive monitoring: a scoping review of in vitro blood glucose devices from electrochemistry to optics and micro-system integration
    Wanmeng Wang, Chongyu Liu, Peiwen Lin, Suo Li, Yongchao Yao, Zhuqing Wang, Wenchuang (Walter) Hu
    Journal of Materials Chemistry B.2026; 14(11): 3383.     CrossRef
  • Biobanking in der Inneren Medizin
    Denise Zwanziger
    Die Innere Medizin.2026; 67(4): 418.     CrossRef
  • EMERGING DIGITAL TECHNOLOGIES IN MONITORING ENDOCRINE DISORDERS: CONTINUOUS GLUCOSE MONITORING SYSTEMS AND ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF POLYCYSTIC OVARY SYNDROME
    Aleksandra Ćwirko-Godycka, Nikola Murawska, Michalina Chodór, Aleksandra Tomaszewska, Kinga Karczewska, Sonia Mojzyk, Maciej Kokoszka, Aleksandra Mierniczek, Natalia Dymel, Ryszard Feret
    International Journal of Innovative Technologies in Social Science.2026;[Epub]     CrossRef
  • Changes in Continuous Glucose Monitoring Metrics During the Initial Phase of a Korean Medicine–Based Weight Reduction Program: A Retrospective Observational Study
    Minwoo Bang, Suyong Shin, Jungsang Kim, Minwhee Kang, Donghun Lee, Junho Kim, Chunghee Kim, Jiyoung Son, Seonghyeon Jeon, Byungsoo Kang
    Journal of Korean Medicine.2026; 47(1): 87.     CrossRef
  • Long-term impact of continuous glucose monitoring on glycemic and metabolic control in type 1 diabetes: A three-year real-world evaluation
    Ayman Al Hayek, Wael M. Al Zahrani, Haifa F. AlOtaibi, Jehad Y. Saleh, Mohammed A. Al Dawish
    Primary Care Diabetes.2026;[Epub]     CrossRef
  • Non-enzymatic sweat sensors for pediatric continuous glucose monitoring: a systematic review of engineering readiness and the cost-accuracy trade-off
    Oluwanifemi Temiloluwa Bolaji, Emmanuel Dominic Ephraim, Olumhense Benedict Adoghe, Deborah Daramola, Emmanuel Francis Kibuebu
    BMC Biomedical Engineering.2026;[Epub]     CrossRef
  • Identifying Actionable Glucose Patterns in Type 1 and Type 2 Diabetes Using Continuous Glucose Monitoring and Algorithmic Pattern Recognition
    Timor Glatzer, Ajandek Peak, Eemeli Leppäaho, Patrick Lustenberger, Pau Herrero, Magí Andorrà, Ellen van Maren
    Journal of Diabetes Science and Technology.2026;[Epub]     CrossRef
  • Associations of time in tight range, time in range, and glycated hemoglobin with albuminuria in type 1 diabetes: A cross-sectional study
    Ji Yoon Kim, Seohyun Kim, Sang Ho Park, Jin A Lee, So Hyun Cho, Rosa Oh, Myunghwa Jang, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Sang-Man Jin
    Diabetes Research and Clinical Practice.2025; 226: 112325.     CrossRef
  • SMART CARE FOR DIABETES: INTEGRATING TECHNOLOGY AND LIFESTYLE FOR BETTER OUTCOMES
    Aleksandra Maciejczyk, Katarzyna Krupa, Weronika Głowacz, Janusz Świeczkowski-Feiz
    International Journal of Innovative Technologies in Social Science.2025;[Epub]     CrossRef
  • Identification of clinically meaningful automatically detected postprandial glucose excursions in individuals with type 1 diabetes using personal continuous glucose monitoring
    Sang Ho Park, Rosa Oh, Seohyun Kim, Seung Hee Yang, Hanna Lee, Ji Yoon Kim, So Hyun Cho, Soojin Park, Gyuri Kim, Jae Hyeon Kim, Sang–Man Jin
    Diabetes Research and Clinical Practice.2025; 229: 112951.     CrossRef
  • Bridging the digital divide: student-led literacy initiatives in diabetes management
    Pedro Almeida Moyano, Mohammed Raddaoui, Andrea de Barros Coscelli Ferraz, Gustavo José Martiniano Porfírio, Luciana Aparecida Campos, Ovidiu Constantin Baltatu
    Frontiers in Clinical Diabetes and Healthcare.2025;[Epub]     CrossRef
  • Efficacy and Safety of Stage 5 Connected Insulin Pens in Type 1 or Type 2 Diabetes: Randomized Controlled Trial Protocol
    Ji Yoon Kim, Nam Hoon Kim, Soo Heon Kwak, Chang Hee Jung, Eun Seok Kang, Jun Sung Moon, Sun Joon Moon, So Yoon Kwon, Jee Hee Yoo, Younghoon Kim, Tae-min Lee, Chung-il Yang, Jae Hyeon Kim, Sang-Man Jin
    Endocrinology and Metabolism.2025;[Epub]     CrossRef
  • Evolution and Future of Glucose Monitoring: From Blood Glucose Meters to Continuous Systems and Their Projected Impact in the Middle East and North Africa (MENA) Region
    Omar Darkhabani, Abdalla Ahmed
    Cureus.2025;[Epub]     CrossRef
Close layer
Original Article
Diabetes, obesity and metabolism
Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study
So Jung Yang, Sun-Young Lim, Yoon Hee Choi, Jin Hee Lee, Kun-Ho Yoon
Endocrinol Metab. 2024;39(2):364-374.   Published online March 21, 2024
DOI: https://doi.org/10.3803/EnM.2023.1878
Correction in: Endocrinol Metab 2024;39(3):537
  • 7,286 View
  • 115 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study evaluated the effects of a mobile diabetes management program called “iCareD” (College of Medicine, The Catholic University of Korea) which was integrated into the hospital’s electronic medical records system to minimize the workload of the healthcare team in the real clinical practice setting.
Methods
In this retrospective observational study, we recruited 308 patients. We categorized these patients based on their compliance regarding their use of the iCareD program at home; compliance was determined through self-monitored blood glucose inputs and message subscription rates. We analyzed changes in the ABC (hemoglobin A1c, blood pressure, and low-density lipoprotein cholesterol) levels from the baseline to 12 months thereafter, based on the patients’ iCareD usage patterns.
Results
The patients comprised 92 (30%) non-users, 170 (55%) poor-compliance users, and 46 (15%) good-compliance users; the ABC target achievement rate showed prominent changes in good-compliance groups from baseline to 12 months (10.9% vs. 23.9%, P<0.05), whereas no significant changes were observed for poor-compliance users and non-users (13.5% vs. 18.8%, P=0.106; 20.7% vs. 14.1%, P=0.201; respectively).
Conclusion
Implementing the iCareD can improve the ABC levels of patients with diabetes with minimal efforts of the healthcare team in real clinical settings. However, the improvement of patients’ compliance concerning the use of the system without the vigorous intervention of the healthcare team needs to be solved in the future.

Citations

Citations to this article as recorded by  
  • Stakeholder Perspectives on Implementing DiabeText: Exploring Barriers and Facilitators for a Personalized Diabetes Self-Management SMS Intervention in Spain
    Elena Gervilla-García, Patricia García-Pazo, Mireia Guillén-Solà, Federico Leguizamo, Ignacio Ricci-Cabello, María Jesús Serrano-Ripoll, Miquel Bennasar-Veny, Maria Antònia Fiol-deRoque, Escarlata Angullo-Martínez, Rocío Zamanillo-Campos
    Diabetology.2026; 7(1): 17.     CrossRef
  • Addressing Unmet Needs in the Management of Diabetes in Asia and Enhancing Diabetes Care Through the Use of Digital Technology:
    Daphne Gardner, Julia K. Mader, Sanjay Kalra, Irene Kopp, Banshi Saboo, Kazuhiro Sugimoto, Michael Villa, Shailendra Bajpai
    Journal of the ASEAN Federation of Endocrine Societies.2026;[Epub]     CrossRef
Close layer
Review Articles
Diabetes, obesity and metabolism
The Benefits Of Continuous Glucose Monitoring In Pregnancy
Jee Hee Yoo, Jae Hyeon Kim
Endocrinol Metab. 2023;38(5):472-481.   Published online October 11, 2023
DOI: https://doi.org/10.3803/EnM.2023.1805
  • 19,331 View
  • 577 Download
  • 13 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   ePub   
Previous studies have consistently demonstrated the positive effects of continuous glucose monitoring (CGM) on glycemic outcomes and complications of diabetes in people with type 1 diabetes. Guidelines now consider CGM to be an essential and cost-effective device for managing type 1 diabetes. As a result, insurance coverage for it is available. Evidence supporting CGM continues to grow and expand to broader populations, such as pregnant people with type 1 diabetes, people with type 2 diabetes treated only with basal insulin therapy, and even type 2 diabetes that does not require insulin treatment. However, despite the significant risk of hyperglycemia in pregnancy, which leads to complications in more than half of affected newborns, CGM indications and insurance coverage for those patients are unresolved. In this review article, we discuss the latest evidence for using CGM to offer glycemic control and reduce perinatal complications, along with its cost-effectiveness in pregestational type 1 and type 2 diabetes and gestational diabetes mellitus. In addition, we discuss future prospects for CGM coverage and indications based on this evidence.

Citations

Citations to this article as recorded by  
  • The Use of Continuous Glucose Monitoring in Comparison to Self-Monitoring of Blood Glucose in Gestational Diabetes: A Systematic Review
    Bhavadharini Balaji, Wesley Hannah, Polina V. Popova, Uma Ram, Mohan Deepa, Janeline Lunghar, Kumaran Uthra, Haritha Sagili, Sadishkumar Kamalanathan, Ranjit Mohan Anjana, Viswanathan Mohan
    Journal of Diabetes Science and Technology.2026; 20(1): 173.     CrossRef
  • Continuous glucose monitoring to improve pregnancy outcomes: a scoping review of the inclusion of persons of colour, minority and indigenous groups in research
    Emily Gossen-Perez, Minglan Li, Elizabeth Lewis-Hills, Karaponi Okesene-Gafa, Charlotte Oyston
    Discover Endocrinology and Metabolism.2026;[Epub]     CrossRef
  • Maternal Continuous Glucose Monitoring–Placenta–Fetus Axis: A Systematic Review of CGM Metrics Linked to Placental Vascular Pathology and Fetal Outcomes, with a Sentinel Discordant Case
    Wiku Andonotopo, Muhammad Adrianes Bachnas, Wisnu Prabowo, Eric Edwin Yuliantara, Mochammad Besari Adi Pramono, Julian Dewantiningrum, Efendi Lukas, I Nyoman Hariyasa Sanjaya, Anak Agung Gede Putra Wiradnyana, Anak Agung Ngurah Jaya Kusuma, Ryan Saktika M
    Bangladesh Journal of Endocrinology and Metabolism.2026;[Epub]     CrossRef
  • Outcomes of hyperglycaemia in pregnancy in Africa: Systematic review and meta-analysis
    Ezekiel Musa, Tawanda Chivese, Mahmoud Werfalli, Larske M. Soepnel, Veronique Nicolaou, Mushi Matjila, Shane A. Norris, Naomi S. Levitt, Marly A. Cardoso
    PLOS One.2026; 21(3): e0345743.     CrossRef
  • Glucose circadian rhythm assessment in pregnant women for gestational diabetes screening
    Rafael Bravo, Kyung Hyun Lee, Sarah A. Nazeer, Jocelyn A. Cornthwaite, Michal Fishel Bartal, Claudia Pedroza
    International Journal of Obesity.2025; 49(1): 118.     CrossRef
  • Quality of Life in Women With Gestational Diabetes Mellitus and Treatment Satisfaction Upon Intermittently Scanned Continuous Glucose Monitoring
    Sookyung Won, Hyeon Ji Kim, Jee Yoon Park, Kyung Joon Oh, Sung Hee Choi, Hak Chul Jang, Joon Ho Moon
    Journal of Korean Medical Science.2025;[Epub]     CrossRef
  • Glucose time in range trajectories during pregnancy and association with adverse perinatal outcomes: a joint latent-class trajectory modeling approach
    Sara M. Sauer, Isabel Fulcher, Ayodeji Sanusi, Ashley N. Battarbee
    American Journal of Obstetrics & Gynecology MFM.2025; 7(6): 101669.     CrossRef
  • Addressing the Diabetes Tsunami Requires Expanded Access to Diabetes Technologies
    Davida F. Kruger, Christopher G. Parkin, Irl B. Hirsch, Grazia Aleppo, Janet B. McGill, Rodolfo J. Galindo, Carol J. Levy, Guillermo E. Umpierrez, George Grunberger, Richard M. Bergenstal
    Journal of Diabetes Science and Technology.2025;[Epub]     CrossRef
  • Prise de position d’un groupe d’experts – utilisation de la mesure en continu du glucose chez les patients vivant avec un diabète de type 2 en France
    Michael Joubert, Benjamin Bouillet, Gaëtan Prevost, Bruno Vermesse, Helen Mosnier-Pudar, Jean-François Thébaut, Jean-Pierre Riveline, Noëlle Davoust, Bruno Guerci, Laurent Meyer
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  • Continuous glucose monitoring system in diabetes in pregnancy: a narrative review
    Melanie Rodacki, Marcio Krakauer, Denise Reis Franco, Patricia Medici Dualib, Mauro Sancovski, Lenita Zajdenverg
    Diabetology & Metabolic Syndrome.2025;[Epub]     CrossRef
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    Ajay Kumar Gupta, Ajay Krishnan, Manu Kataria, Nishesh Jain
    Cureus.2025;[Epub]     CrossRef
  • Experiences of Women With Diabetes Using Wearable Continuous Glucose Monitors During Pregnancy: A Qualitative Descriptive Study
    Hee Sun Kang, Hyang Rang Park, Jangmi Kang, Chun-Ja Kim
    The Science of Diabetes Self-Management and Care.2025; 51(6): 559.     CrossRef
  • Neonatal Outcomes and A1C Improved With Real-Time Continuous Glucose Monitoring in Pregnancy With Preexisting Type 2 Diabetes
    Gail L. Nunlee-Bland, Rochanda Mitchell, Inez V. Reeves, Michal A. Young
    Diabetes Spectrum.2025; 38(4): 461.     CrossRef
  • Dispositivi indossabili per la gestione del diabete
    Filippo CARLUCCI, Antonella TABUCCHI, Marcello FIORINI, Lucrezia GALASSO, Alessandro TERRENI
    Biochimica Clinica.2025;[Epub]     CrossRef
  • Wearable devices for glucose monitoring: A review of state-of-the-art technologies and emerging trends
    Mohammad Mansour, M. Saeed Darweesh, Ahmed Soltan
    Alexandria Engineering Journal.2024; 89: 224.     CrossRef
  • Diagnosis and Treatment of Hyperglycemia in Pregnancy
    Sneha Mohan, Aoife M. Egan
    Endocrinology and Metabolism Clinics of North America.2024; 53(3): 335.     CrossRef
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Diabetes, Obesity and Metabolism
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
Endocrinol Metab. 2022;37(1):26-37.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.105
  • 39,182 View
  • 1,562 Download
  • 50 Web of Science
  • 51 Crossref
AbstractAbstract PDFPubReader   ePub   
Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.

Citations

Citations to this article as recorded by  
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Close layer
Original Article
Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes
Seung-Hwan Lee, Kyungdo Han, Hyuk-Sang Kwon, Mee Kyoung Kim
Endocrinol Metab. 2021;36(5):1007-1015.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1218
  • 8,891 View
  • 157 Download
  • 15 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Metabolic abnormalities, such as impaired fasting glucose (IFG), are dynamic phenomena; however, it is unclear whether the timing of IFG exposure and cumulative exposure to IFG are related to cardiovascular disease (CVD) and mortality risk.
Methods
Data were extracted from a nationwide population-based cohort in South Korea for adults (n=2,206,679) who were free of diabetes and had 4 years of consecutive health examination data. Fasting blood glucose levels of 100 to 125 mg/dL were defined as IFG, and the number of IFG diagnoses for each adult in the 4-year period was tabulated as the IFG exposure score (range, 0 to 4). Adults with persistent IFG for the 4-year period received a score of 4.
Results
The median follow-up was 8.2 years. There were 24,820 deaths, 13,502 cases of stroke, and 13,057 cases of myocardial infarction (MI). IFG exposure scores of 1, 2, 3, and 4 were associated with all-cause mortality (multivariable-adjusted hazard ratio [aHR], 1.11; 95% confidence interval [CI], 1.08 to 1.15; aHR, 1.16; 95% CI, 1.12 to 1.20; aHR, 1.20; 95% CI, 1.15 to 1.25; aHR, 1.18; 95% CI, 1.11 to 1.25, respectively) compared with an IFG exposure score of 0. Adjusting for hypertension and dyslipidemia attenuated the slightly increased risk of MI or stroke associated with high IFG exposure scores, but significant associations for allcause mortality remained.
Conclusion
The intensity of IFG exposure was associated with an elevated risk of all-cause mortality, independent of cardiovascular risk factors. The association between IFG exposure and CVD risk was largely mediated by the coexistence of dyslipidemia and hypertension.

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Close layer
Review Articles
Diabetes
Continuous Glucose Monitoring in the Hospital
M. Citlalli Perez-Guzman, Trisha Shang, Jennifer Y. Zhang, Donna Jornsay, David C. Klonoff
Endocrinol Metab. 2021;36(2):240-255.   Published online March 31, 2021
DOI: https://doi.org/10.3803/EnM.2021.201
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  • 45 Web of Science
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AbstractAbstract PDFPubReader   ePub   
Continuous glucose monitors (CGMs) have suddenly become part of routine care in many hospitals. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including diabetes patients. The use of CGMs to automatically and remotely supplement or replace assisted monitoring of blood glucose by bedside nurses can decrease: the amount of necessary nursing exposure to COVID-19 patients with diabetes; the amount of time required for obtaining blood glucose measurements, and the amount of personal protective equipment necessary for interacting with patients during the blood glucose testing. The United States Food and Drug Administration (FDA) is now exercising enforcement discretion and not objecting to certain factory-calibrated CGMs being used in a hospital setting, both to facilitate patient care and to obtain performance data that can be used for future regulatory submissions. CGMs can be used in the hospital to decrease the frequency of fingerstick point of care capillary blood glucose testing, decrease hyperglycemic episodes, and decrease hypoglycemic episodes. Most of the research on CGMs in the hospital has focused on their accuracy and only recently outcomes data has been reported. A hospital CGM program requires cooperation of physicians, bedside nurses, diabetes educators, and hospital administrators to appropriately select and manage patients. Processes for collecting, reviewing, storing, and responding to CGM data must be established for such a program to be successful. CGM technology is advancing and we expect that CGMs will be increasingly used in the hospital for patients with diabetes.

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    Jingtong Huang, Andrea M. Yeung, Kevin T. Nguyen, Nicole Y. Xu, Jean-Charles Preiser, Robert J. Rushakoff, Jane Jeffrie Seley, Guillermo E. Umpierrez, Amisha Wallia, Andjela T. Drincic, Roma Gianchandani, M. Cecilia Lansang, Umesh Masharani, Nestoras Math
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Diabetes
Best Achievements in Clinical Medicine in Diabetes and Dyslipidemia in 2020
Eun-Jung Rhee, Mee-Kyung Kim, Won-Young Lee
Endocrinol Metab. 2021;36(1):41-50.   Published online February 24, 2021
DOI: https://doi.org/10.3803/EnM.2021.106
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AbstractAbstract PDFPubReader   ePub   
Over the last two decades, our understanding of diabetes and treatment strategies have evolved tremendously, from scientific, mechanistic, and human perspectives. The categories of anti-diabetic medications expanded from a few to numerous, enabling clinicians to personalize diabetes care and treatment. Thanks to rapid growth in the field of science and medical engineering, newer treatment options are coming to the market with various advantages and disadvantages to be aware of. Therefore, clinicians should rapidly adopt new trends based on guidelines and data from many clinical trials in the field of diabetes. In the treatment of dyslipidemia, trends and guidelines are changing every year, and novel therapies are being developed. In this review, we would like to summarize the major achievements in clinical medicine in 2020 in the field of diabetes mellitus and dyslipidemia.

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Diabetes
Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare
Hun-Sung Kim, Kun-Ho Yoon
Endocrinol Metab. 2020;35(3):541-548.   Published online September 22, 2020
DOI: https://doi.org/10.3803/EnM.2020.675
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  • 15 Web of Science
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AbstractAbstract PDFPubReader   ePub   
We live in a digital world where a variety of wearable medical devices are available. These technologies enable us to measure our health in our daily lives. It is increasingly possible to manage our own health directly through data gathered from these wearable devices. Likewise, healthcare professionals have also been able to indirectly monitor patients’ health. Healthcare professionals have accepted that digital technologies will play an increasingly important role in healthcare. Wearable technologies allow better collection of personal medical data, which healthcare professionals can use to improve the quality of healthcare provided to the public. The use of continuous glucose monitoring systems (CGMS) is the most representative and desirable case in the adoption of digital technology in healthcare. Using the case of CGMS and examining its use from the perspective of healthcare professionals, this paper discusses the necessary adjustments required in clinical practices. There is a need for various stakeholders, such as medical staff, patients, industry partners, and policy-makers, to utilize and harness the potential of digital technology.

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Original Articles
Clinical Study
Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study
Min Cheol Chang, Jong-Moon Hwang, Jae-Han Jeon, Sang Gyu Kwak, Donghwi Park, Jun Sung Moon
Endocrinol Metab. 2020;35(3):595-601.   Published online August 26, 2020
DOI: https://doi.org/10.3803/EnM.2020.719
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  • 22 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Coronavirus disease 2019 (COVID-19) has become a global pandemic, which prompts a consensus for the necessity to seek risk factors for this critical disease. Risk factors affecting mortality of the disease remain elusive. Diabetes and hyperglycemia are known to negatively affect a host’s antiviral immunity. We evaluated the relationship between a history of diabetes, fasting plasma glucose (FPG) levels and mortality among severely ill patients with COVID-19.
Methods
This was a retrospective cohort study that assessed 106 adult inpatients (aged ≥18 years) from two tertiary hospitals in Daegu, South Korea. The participants were transferred to tertiary hospitals because their medical condition required immediate intensive care. The demographic and laboratory data were compared between COVID-19 patients who survived and those who did not.
Results
Compared with the survivor group, age, and the proportions of diabetes, chronic lung disease and FPG were significantly higher in the deceased group. In the Cox proportional hazards regression model for survival analysis, FPG level and age were identified as significant predictors of mortality (P<0.05). The threshold values for predicting high mortality were age >68 years and FPG of 168 mg/dL, respectively. Among those without diabetes, high FPG remained a significant predictor of mortality (P<0.04).
Conclusion
High FPG levels significantly predicted mortality in COVID-19, regardless of a known history of diabetes. These results suggest intensive monitoring should be provided to COVID-19 patients who have a high FPG level.

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Clinical Usefulness of Glucose Testing from the Forearm in Diabetic Patients.
Sang Wook Lee, Suk Chon, Seungjoon Oh, Jeong taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim, Jeong Ryung Paeng, Gwanpyo Koh, Hak Hyun Nam
J Korean Endocr Soc. 2006;21(4):281-289.   Published online August 1, 2006
DOI: https://doi.org/10.3803/jkes.2006.21.4.281
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AbstractAbstract PDF
BACKGROUND
Self monitoring of blood glucose plays an important role in the management of diabetes. However, traditional finger prick testing causes pain and so compliance with self monitoring of blood glucose is usually poor. Using an alternative site for sampling may reduce the level of pain and be beneficial for improving the compliance of diabetic patients. We evaluated the accuracy and acceptability of blood glucose testing from the forearm by analyzing the performance of the CareSens(R) (i-Sens, Inc. Korea) device for diabetic patients. METHODS: We measured the glucose level at the forearm by use of CareLance(R) (vaccum assisted lancing device) and also at the finger tip simultaneously by use of the CareSens(R) device at fasting and postprandial 2 hours, respectively. At the same time, the glucose levels of venous samples were checked by the laboratory method (BIOSEN 5030, EKF, Germany) and compared with those glucose level measured by the CareSens(R) device. We also checked the ease of use of the CareLance(R) and the associated pain of the patients by means of a visual analogue scale (VAS) at the time of blood sampling. RESULTS: The glucose level obtained from the forearm and finger tip correlated well with that from the laboratory method, respectively. Error grid analysis showed that 100% of the measurements were clinically acceptable; forearm blood glucose testing by use of CareLance(R) was less painful and it was as easy to use as the finger prick (P < 0.05 and P = 0.04, respectively). CONCLUSION: Forearm testing is an acceptable alternative to finger prick testing for measuring blood glucose in diabetic patients.

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    Kyung-Soon Park, Eun-Jong Cha
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