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Effectiveness of 3-Day Continuous Glucose Monitoring for Improving Glucose Control in Type 2 Diabetic Patients in Clinical Practice
Soo Kyoung Kim, Hye Jeong Kim, Taehun Kim, Kyu Yeon Hur, Sun Wook Kim, Moon-Kyu Lee, Yong-Ki Min, Kwang-Won Kim, Jae Hoon Chung, Jae Hyeon Kim
Diabetes Metab J. 2014;38(6):449-455.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.449
  • 4,871 View
  • 38 Download
  • 16 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate whether adjusting diabetic treatment regimens according to the information obtained from a continuous glucose monitoring system (CGMS) might lead to improved glycemic control in patients with type 2 diabetes.

Methods

We reviewed the medical charts of 172 patients who used the CGMS for 1 year starting in December 2008 and the records of 1,500 patients who visited their regular outpatient clinics during December 2008. Of these patients, a total of 65 CGMS patients and 301 regular outpatients (control group) were enrolled in the study after propensity score matching. There were no differences in baseline glycated hemoglobin (HbA1c), age, and duration of diabetes between the CGMS and the control groups after propensity score matching. The changes in the HbA1c levels from baseline to 6 months were calculated.

Results

The CGMS group showed a significant improvement in the HbA1c level compared to the control group at 3 months (7.9%±1.6% vs. 7.4%±1.2%, P=0.001) and at 6 months (7.4%±1.2% vs. 7.9%±1.6%, P=0.010). There were significant differences in the treatment modality changes between the CGMS group and the control group.

Conclusion

Using a 3-day CGMS was advantageous for improving glucose control in patients with type 2 diabetes and may help these patients to optimize glycemic control in clinical practice.

Citations

Citations to this article as recorded by  
  • Biological and Clinical Impacts of Glucose Metabolism in Pancreatic Ductal Adenocarcinoma
    Zhao Liu, Hiromitsu Hayashi, Kazuki Matsumura, Norio Uemura, Yuta Shiraishi, Hiroki Sato, Hideo Baba
    Cancers.2023; 15(2): 498.     CrossRef
  • Professional continuous glucose monitoring in patients with diabetes mellitus: A systematic review and meta‐analysis
    Sergio Di Molfetta, Irene Caruso, Angelo Cignarelli, Annalisa Natalicchio, Sebastio Perrini, Luigi Laviola, Francesco Giorgino
    Diabetes, Obesity and Metabolism.2023; 25(5): 1301.     CrossRef
  • American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus
    George Grunberger, Jennifer Sherr, Myriam Allende, Thomas Blevins, Bruce Bode, Yehuda Handelsman, Richard Hellman, Rosemarie Lajara, Victor Lawrence Roberts, David Rodbard, Carla Stec, Jeff Unger
    Endocrine Practice.2021; 27(6): 505.     CrossRef
  • Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions
    Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • A head‐to‐head comparison of personal and professional continuous glucose monitoring systems in people with type 1 diabetes: Hypoglycaemia remains the weak spot
    Othmar Moser, Marlene Pandis, Felix Aberer, Harald Kojzar, Daniel Hochfellner, Hesham Elsayed, Melanie Motschnig, Thomas Augustin, Philipp Kreuzer, Thomas R. Pieber, Harald Sourij, Julia K. Mader
    Diabetes, Obesity and Metabolism.2019; 21(4): 1043.     CrossRef
  • Glucose monitoring in diabetes: from clinical studies to real‐world practice
    Rebecca C Sagar, Afroze Abbas, Ramzi Ajjan
    Practical Diabetes.2019; 36(2): 57.     CrossRef
  • The Effectiveness of Continuous Glucose Monitoring in Patients with Type 2 Diabetes: A Systematic Review of Literature and Meta-analysis
    Cindy Park, Quang A. Le
    Diabetes Technology & Therapeutics.2018; 20(9): 613.     CrossRef
  • Effects of Dapagliflozin on 24-Hour Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial
    Robert R. Henry, Poul Strange, Rong Zhou, Jeremy Pettus, Leon Shi, Sergey B. Zhuplatov, Traci Mansfield, David Klein, Arie Katz
    Diabetes Technology & Therapeutics.2018; 20(11): 715.     CrossRef
  • Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data
    Joseph A. Sierra, Mona Shah, Max S. Gill, Zachery Flores, Hiten Chawla, Francine R. Kaufman, Robert Vigersky
    Journal of Medical Economics.2018; 21(3): 225.     CrossRef
  • Role of continuous glucose monitoring for type 2 in diabetes management and research
    Robert Vigersky, Maneesh Shrivastav
    Journal of Diabetes and its Complications.2017; 31(1): 280.     CrossRef
  • Assessing the Therapeutic Utility of Professional Continuous Glucose Monitoring in Type 2 Diabetes Across Various Therapies: A Retrospective Evaluation
    Jothydev Kesavadev, Robert Vigersky, John Shin, Pradeep Babu Sadasivan Pillai, Arun Shankar, Geethu Sanal, Gopika Krishnan, Sunitha Jothydev
    Advances in Therapy.2017; 34(8): 1918.     CrossRef
  • Use of Continuous Glucose Monitoring in Youth-Onset Type 2 Diabetes
    Christine L. Chan
    Current Diabetes Reports.2017;[Epub]     CrossRef
  • The efficacy and safety of adding either vildagliptin or glimepiride to ongoing metformin therapy in patients with type 2 diabetes mellitus
    Gyuri Kim, Sewon Oh, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee
    Expert Opinion on Pharmacotherapy.2017; 18(12): 1179.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • The Contemporary Role of Masked Continuous Glucose Monitoring in a Real-Time World
    Ian Blumer
    Journal of Diabetes Science and Technology.2016; 10(3): 790.     CrossRef
  • Glycemic Variability: How Do We Measure It and Why Is It Important?
    Sunghwan Suh, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2015; 39(4): 273.     CrossRef
The Relationship between Lung Function and Metabolic Syndrome in Obese and Non-Obese Korean Adult Males
Soo Kyoung Kim, Kyu Yeon Hur, Yoon Ho Choi, Sun Wook Kim, Jae Hoon Chung, Hee Kyung Kim, Moon-Kyu Lee, Yong-Ki Min, Kwang-Won Kim, Jae Hyeon Kim
Korean Diabetes J. 2010;34(4):253-260.   Published online August 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.4.253
  • 4,274 View
  • 32 Download
  • 13 Crossref
AbstractAbstract PDFPubReader   
Background

The existence of an association between lung function and metabolic syndrome (MetS) has been debated in cases involving non-obese subjects. To address this debate, we performed a cross-sectional study to investigate the association between lung function and MetS in both obese and non-obese populations.

Methods

The present study consisted of a total of 1,951 Korean male subjects. In this study group, we investigated relationships between lung function and MetS risk factors such as fasting serum glucose, systolic blood pressure (SBP), insulin resistance index, waist circumference (WC), and hemoglobin A1C level.

Results

Forced vital capacity (FVC) values were significantly lower in the MetS group compared with those of the non-MetS group. In both non-obese (body mass index [BMI] < 25 kg/m2) and obese subjects (BMI ≥ 25 kg/m2), fasting serum glucose, hemoglobin A1C level, insulin resistance index, SBP, WC, and the prevalences of diabetes and MetS were significantly higher in subjects in the lowest FVC quartile compared with those in the highest FVC quartile. Odds ratios for the presence of MetS risk factors, after adjusting for age and height, ranged from 1.21 to 1.39 (P < 0.01) for a one standard deviation decrease in FVC.

Conclusion

The results of our study suggest that decreased vital capacity in Korean adult male subjects is associated with MetS, irrespective of obesity.

Citations

Citations to this article as recorded by  
  • The impact of insulin resistance on the association between metabolic syndrome and lung function: the Kangbuk Samsung Health Study
    Jonghoo Lee, Hye Kyeong Park, Min-Jung Kwon, Soo-Youn Ham, Hyun-Il Gil, Si-Young Lim, Jae-Uk Song
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Pulmonary Function in Metabolic Syndrome: A Meta-Analysis
    Ning-ning Fang, Zhi-hao Wang, Shao-hua Li, Yu-yan Ge, Xin Liu, Dong-xin Sui
    Metabolic Syndrome and Related Disorders.2022; 20(10): 606.     CrossRef
  • Determinants of Longitudinal Change of Lung Function in Different Gender in a Large Taiwanese Population Follow-Up Study Categories: Original Investigation
    Chia-Heng Chang, Szu-Chia Chen, Jiun-Hung Geng, Da-Wei Wu, Jiun-Chi Huang, Pei-Yu Wu
    Journal of Personalized Medicine.2021; 11(10): 1033.     CrossRef
  • The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea
    Hoon Sung Choi, Sung Woo Lee, Jin Taek Kim, Hong Kyu Lee
    Diabetes & Metabolism Journal.2020; 44(5): 699.     CrossRef
  • Interactive effects of adiposity and insulin resistance on the impaired lung function in asthmatic adults: cross-sectional analysis of NHANES data
    Roham Sadeghimakki, Huw David McCarthy
    Annals of Human Biology.2019; 46(1): 56.     CrossRef
  • Maternal protein restriction during lactation induces early and lasting plasma metabolomic and hepatic lipidomic signatures of the offspring in a rodent programming model
    Aurore Martin Agnoux, Angélina El Ghaziri, Thomas Moyon, Anthony Pagniez, Agnès David, Gilles Simard, Patricia Parnet, El Mostafa Qannari, Dominique Darmaun, Jean-Philippe Antignac, Marie-Cécile Alexandre-Gouabau
    The Journal of Nutritional Biochemistry.2018; 55: 124.     CrossRef
  • Association between HOMA-IR and Lung Function in Korean Young Adults based on the Korea National Health and Nutrition Examination Survey
    Young Bok Lee, Young Soo Kim, Dong-Hee Lee, Hee Yeon Kim, Jae-Im Lee, Hyo-Suk Ahn, Tae Seo Sohn, Tae-Kyu Lee, Jae Yen Song, Chang Dong Yeo, Mihee Hong, Kyungdo Han, Seong Cheol Jeong, Hiun Suk Chae
    Scientific Reports.2017;[Epub]     CrossRef
  • Spirometric prediction equations and the relationship between metabolic syndrome and spirometric parameters from an island in Fujian, China
    Yu‐Sheng Chen, Xiao‐Qin Li, Hong‐Ru Li, Xiao‐Li Yu, Feng‐Feng Lu, Li‐Ping Huang, Yan Miao, Gui‐Qing Wang, Xiao Lin, Shuang‐Qing Lian, Yun‐Hua Lin, Xiang‐E Zhang, Ting Liu, Yan‐Ling Wu
    The Clinical Respiratory Journal.2017; 11(4): 514.     CrossRef
  • Decline in lung function rather than baseline lung function is associated with the development of metabolic syndrome: A six-year longitudinal study
    Soo Kyoung Kim, Ji Cheol Bae, Jong-Ha Baek, Jae Hwan Jee, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim, Cheng Hu
    PLOS ONE.2017; 12(3): e0174228.     CrossRef
  • The relationship between serum fatty-acid binding protein 4 level and lung function in Korean subjects with normal ventilatory function
    Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Seong Yong Lim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
    BMC Pulmonary Medicine.2016;[Epub]     CrossRef
  • Lung function and metabolic syndrome: Findings of National Health and Nutrition Examination Survey 2007–2010 肺功能与代谢综合征:2007–2010全国健康与营养调查研究结果
    Earl S. Ford, Timothy J. Cunningham, Carla I. Mercado
    Journal of Diabetes.2014; 6(6): 603.     CrossRef
  • Reduced lung function is independently associated with increased risk of type 2 diabetes in Korean men
    Chang-Hee Kwon, Eun-Jung Rhee, Jae-Uk Song, Jung-Tae Kim, Hyon Joo Kwag, Ki-Chul Sung
    Cardiovascular Diabetology.2012;[Epub]     CrossRef
  • Letter: The Relationship between Lung Function and Metabolic Syndrome in Obese and Non-Obese Korean Adult Males (Korean Diabetes J 2010;34:253-60)
    Bo Kyung Koo
    Korean Diabetes Journal.2010; 34(5): 327.     CrossRef
Hyperfibrinogenemia as an Important Risk Factor for Microvascular Complications in NIDDM Patients.
Suk Kyeong Kim, Hyeong Kyu Park, Sun Wook Kim, Do Joon Park, Chan Soo Shin, Seong Yeon Kim, Bo Youn Cho, Hong Kyu Lee
Korean Diabetes J. 1997;21(4):406-413.   Published online January 1, 2001
  • 1,066 View
  • 17 Download
AbstractAbstract PDF
BACKGROUND
Abundant evidences have accumulated to suggest that atherosclerosis is accelerated in both type I and type Il diabetes but, traditional risk factors(hyperlipidemia, hypertension, smoking, age, obesity) do not account fully for the increased prevalence and severity of vascular diseases in diabetes. In this study, we examined the relationship of plasma fibrinogen to microvascular complications in NIDDM patients METHODS: In this cross-sectional study, 104 NIDDM patients were chosen from subjects who were attending the metabolic ward of Seoul National University Hospital. None of them were smokers, nor had any clinical evidences of acute infections, cancers or liver diseases. Arnong 104 patients, 55 patients (male 26, fernale 29) had no evidence of microvascular complications and 49(male 30, female 19) had one or moe microvascular complications. Their mean age(55.7+11.6 and 57.2+8.9 years old) and BMI (23.34+2.98 kg/m and 23.74+3.41 kg/m) were similar between two groups. This study defined microvascular complications as follows: 1) retinopathy classified based on fundoscopic and fluorescein angiographic assessmeot to background and proliferative, 2) nephropathy defined by 24 hour urine protein over 500mg, and 3) pheripheral neuropathy assessed by symptoms or NCV. RESULTS: 1) Clinically, there was no differences between two groups with respect to diastolic BP, C-peptide, HbA1c, and triglyceride level. However statistically significant differences were noted in systolic blood pressure, and total and LDL-cholesterol. Also mean fibrinogen level was more elevated significantly in diabetic patients with microvascular complications than those without microvascular complications. 2) Univariate analysis shows significant correlations between fibrinogen and the other variables such as duration of diabetes, total cholesterol level and systolic blood pressure. 3) However, fibrinogen concentration was higher in NIDDM patients with microvascuiar complications regardless of duration of diabetes, hypertension and HbA1c in multivariate logisric regression analysis (P=0.010). Conclusions: These results indicated that hyperfibrinogenemia were observed in NIDDM patient with microvascular complications regardless of duration of diabetes, systolic BP, and total cholesterol. Therefore our study suggests that hyperfibrogenemia may be one of the important missing links in the pathogenesis of diabetic microvascular diseases.

Diabetes Metab J : Diabetes & Metabolism Journal