Diabetes & Metabolism Journal

Original Articles

Drug/Regimen
Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial: Ji-Yeon Park, Joonyub Lee, Yoon-Hee Choi, Kyung Wan Min, Kyung Ah Han, Kyu Jeung Ahn, Soo Lim, Young-Hyun Kim, Chul Woo Ahn, Kyung Mook Choi, Kun-Ho Yoon, the Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) study investigators; Diabetes Metab J. 2024;48(5):915-928. Published online April 23, 2024; DOI: https://doi.org/10.4093/dmj.2023.0259

2,865 View
271 Download

Abstract PDF Supplementary Material PubReader ePub: Background
Guidelines for switching to triple combination therapy directly after monotherapy failure are limited. This study investigated the efficacy, long-term sustainability, and safety of either mono or dual add-on therapy using alogliptin and pioglitazone for patients with type 2 diabetes mellitus (T2DM) who did not achieve their target glycemic range with metformin monotherapy.
Methods
The Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) was a multicenter, placebo-controlled, double-blind, randomized trial. A total of 214 participants were randomized to receive alogliptin+pioglitazone (Alo+Pio group, n=70), alogliptin (Alo group, n=75), or pioglitazone (Pio group, n=69). The primary outcome was the difference in glycosylated hemoglobin (HbA1c) levels between the three groups at baseline to 24 weeks. For durability, the achievement of HbA1c levels <7% and <6.5% was compared in each group. The number of adverse events was investigated for safety.
Results
After 24 weeks of treatment, the change of HbA1c in the Alo+Pio, Alo, and Pio groups were –1.38%±0.08%, –1.03%±0.08%, and –0.84%±0.08%, respectively. The Alo+Pio group had significantly lower HbA1c levels than the other groups (P=0.0063, P<0.0001) and had a higher proportion of patients with target HbA1c achievement. In addition, insulin sensitivity and β-cell function, lipid profiles, and other metabolic indicators were also improved. There were no significant safety issues in patients treated with triple combination therapy.
Conclusion
Early combination triple therapy showed better efficacy and durability than the single add-on (dual) therapy. Therefore, combination therapy with metformin, alogliptin, and pioglitazone is a valuable early treatment option for T2DM poorly controlled with metformin monotherapy.

Drug/Regimen
Effect of Dapagliflozin as an Add-on Therapy to Insulin on the Glycemic Variability in Subjects with Type 2 Diabetes Mellitus (DIVE): A Multicenter, Placebo-Controlled, Double-Blind, Randomized Study: Seung-Hwan Lee, Kyung-Wan Min, Byung-Wan Lee, In-Kyung Jeong, Soon-Jib Yoo, Hyuk-Sang Kwon, Yoon-Hee Choi, Kun-Ho Yoon; Diabetes Metab J. 2021;45(3):339-348. Published online May 28, 2020; DOI: https://doi.org/10.4093/dmj.2019.0203

9,452 View
364 Download
14 Web of Science
17 Crossref

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub

Background

Glycemic variability is associated with the development of diabetic complications and hypoglycemia. However, the effect of sodium-glucose transporter 2 (SGLT2) inhibitors on glycemic variability is controversial. We aimed to examine the effect of dapagliflozin as an add-on therapy to insulin on the glycemic variability assessed using continuous glucose monitoring (CGM) in subjects with type 2 diabetes mellitus.

Methods

In this multicenter, placebo-controlled, double-blind, randomized study, 84 subjects received 10 mg of dapagliflozin (n=41) or the placebo (n=43) for 12 weeks. CGM was performed before and after treatment to compare the changes in glycemic variability measures (standard deviation [SD], mean amplitude of glycemic excursions [MAGEs]).

Results

At week 12, significant reductions in glycosylated hemoglobin (−0.74%±0.66% vs. 0.01%±0.65%, P<0.001), glycated albumin (−3.94%±2.55% vs. −0.67%±2.48%, P<0.001), and CGM-derived mean glucose (−41.6±39.2 mg/dL vs. 1.1±46.2 mg/dL, P<0.001) levels were observed in the dapagliflozin group compared with the placebo group. SD and MAGE were significantly decreased in the dapagliflozin group, but not in the placebo group. However, the difference in ΔSD and ΔMAGE failed to reach statistical significance between two groups. No significant differences in the incidence of safety endpoints were observed between the two groups.

Conclusion

Dapagliflozin effectively decreased glucose levels, but not glucose variability, after 12 weeks of treatment in participants with type 2 diabetes mellitus receiving insulin treatment. The role of SGLT2 inhibitors in glycemic variability warrants further investigations.

Citations

Citations to this article as recorded by

Selective sodium-glucose cotransporter-2 inhibitors in the improvement of hemoglobin and hematocrit in patients with type 2 diabetes mellitus: a network meta-analysis
Yuanyuan Luo, Ruojing Bai, Wei Zhang, Guijun Qin
Frontiers in Endocrinology.2024;[Epub] CrossRef
Continuous Glucose Monitoring Profiles and Health Outcomes After Dapagliflozin Plus Saxagliptin vs Insulin Glargine
Donald C Simonson, Marcia A Testa, Ella Ekholm, Maxwell Su, Tina Vilsbøll, Serge A Jabbour, Marcus Lind
The Journal of Clinical Endocrinology & Metabolism.2024; 109(12): e2261. CrossRef
Impact of empagliflozin on insulin needs in patients with heart failure and diabetes: An EMPEROR‐Pooled analysis
Khawaja M. Talha, Jennifer Green, Gerasimos Filippatos, Stuart Pocock, Faiez Zannad, Martina Brueckmann, Elke Schueler, Anne Pernille Ofstad, João Pedro Ferreira, Stefan D. Anker, Javed Butler, Julio Rosenstock, Milton Packer
Diabetes, Obesity and Metabolism.2024; 26(7): 2578. CrossRef
Dapagliflozin in heart failure and type 2 diabetes: Efficacy, cardiac and renal effects, safety
Pei-Ling Yu, You Yu, Shuang Li, Bai-Chen Mu, Ming-Hua Nan, Min Pang
World Journal of Diabetes.2024; 15(7): 1518. CrossRef
Glycemic Variability in Pancreatogenic Diabetes Mellitus: characteristics, Risks, Potential Mechanisms, and Treatment Possibilities
Yuyan Sun, Bing Lu, Yuanwen Hu, Yingqi Lv, Shao Zhong
International Journal of General Medicine.2024; Volume 17: 4297. CrossRef
Risk of Urinary Tract Infection in Patients with Type 2 Diabetes Mellitus Treated with Dapagliflozin: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Zhigui Zheng, Dongyuan He, Jianguo Chen, Xiaohui Xie, Yunan Lu, Binbin Wu, Xinxin Jiang
Clinical Drug Investigation.2023; 43(4): 209. CrossRef
Effect of SGLT2 Inhibitors and Metformin on Inflammatory and Prognostic Biomarkers in Type 2 Diabetes Patients
Yang Cao, Ning Liang, Ting Liu, Jingai Fang, Xiaodong Zhang
Endocrine, Metabolic & Immune Disorders - Drug Targets.2023; 23(4): 530. CrossRef
What is Glycaemic Variability and which Pharmacological Treatment Options are Effective? A Narrative Review
Juan Miguel Huertas Cañas, Maria Alejandra Gomez Gutierrez, Andres Bedoya Ossa
European Endocrinology.2023; 19(2): 4. CrossRef
La variabilité glycémique : un facteur de risque singulier à conjuguer au pluriel
Louis Monnier, Claude Colette, Fabrice Bonnet, David Owens
Médecine des Maladies Métaboliques.2022; 16(1): 15. CrossRef
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park, Kyung Mook Choi
Diabetes & Metabolism Journal.2022; 46(1): 49. CrossRef
Effect of sodium-glucose cotransporter-2 (SGLT2) inhibitors on serum urate levels in patients with and without diabetes: a systematic review and meta-regression of 43 randomized controlled trials
Alicia Swee Yan Yip, Shariel Leong, Yao Hao Teo, Yao Neng Teo, Nicholas L. X. Syn, Ray Meng See, Caitlin Fern Wee, Elliot Yeung Chong, Chi-Hang Lee, Mark Y. Chan, Tiong-Cheng Yeo, Raymond C. C. Wong, Ping Chai, Ching-Hui Sia
Therapeutic Advances in Chronic Disease.2022;[Epub] CrossRef
Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
Diabetes and Vascular Disease Research.2022;[Epub] CrossRef
The Clinical Effect of Dapagliflozin in Patients with Angiographically Confirmed Coronary Artery Disease and Concomitant Type 2 Diabetes Mellitus
Yana Yu. Dzhun, Yevhen Yu. Marushko, Yanina A. Saienko, Nadiya M. Rudenko, Borys M. Mankovsky
Ukrainian Journal of Cardiovascular Surgery.2022; 30(3): 35. CrossRef
Stress-Induced Hyperglycaemia in Non-Diabetic Patients with Acute Coronary Syndrome: From Molecular Mechanisms to New Therapeutic Perspectives
Alessandro Bellis, Ciro Mauro, Emanuele Barbato, Antonio Ceriello, Antonio Cittadini, Carmine Morisco
International Journal of Molecular Sciences.2021; 22(2): 775. CrossRef
Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis
Heeyoung Lee, Se-eun Park, Eun-Young Kim
Journal of Clinical Medicine.2021; 10(18): 4078. CrossRef
Effect of Dapagliflozin on Glycemic Variability in Patients with Type 2 Diabetes under Insulin Glargine Combined with Other Oral Hypoglycemic Drugs
Menghui Luo, Xiaocen Kong, Huiying Wang, Xiaofang Zhai, Tingting Cai, Bo Ding, Yun Hu, Ting Jing, Xiaofei Su, Huiqin Li, Jianhua Ma, Yoshifumi Saisho
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes & Metabolism Journal.2020; 44(6): 828. CrossRef

Clinical Diabetes & Therapeutics
Acarbose Add-on Therapy in Patients with Type 2 Diabetes Mellitus with Metformin and Sitagliptin Failure: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Study: Hae Kyung Yang, Seung-Hwan Lee, Juyoung Shin, Yoon-Hee Choi, Yu-Bae Ahn, Byung-Wan Lee, Eun Jung Rhee, Kyung Wan Min, Kun-Ho Yoon; Diabetes Metab J. 2019;43(3):287-301. Published online December 20, 2018; DOI: https://doi.org/10.4093/dmj.2018.0054

7,184 View
122 Download
15 Web of Science
15 Crossref

Abstract PDF Supplementary Material PubReader

Background

We evaluated the efficacy and safety of acarbose add-on therapy in Korean patients with type 2 diabetes mellitus (T2DM) who are inadequately controlled with metformin and sitagliptin.

Methods

A total of 165 subjects were randomized to metformin and sitagliptin (Met+Sita, n=65), metformin, sitagliptin, and acarbose (Met+Sita+Acarb, n=66) and sitagliptin and acarbose (Sita+Acarb, exploratory assessment, n=34) therapy in five institutions in Korea. After 16 weeks of acarbose add-on or metformin-switch therapy, a triple combination therapy was maintained from week 16 to 24.

Results

The add-on of acarbose (Met+Sita+Acarb group) demonstrated a 0.44%±0.08% (P<0.001 vs. baseline) decrease in glycosylated hemoglobin (HbA1c) at week 16, while changes in HbA1c were insignificant in the Met+Sita group (−0.09%±0.10%, P=0.113). After 8 weeks of triple combination therapy, HbA1c levels were comparable between Met+Sita and Met+Sita+Acarb group (7.66%±0.13% vs. 7.47%±0.12%, P=0.321). Acarbose add-on therapy demonstrated suppressed glucagon secretion (area under the curve of glucagon, 4,726.17±415.80 ng·min/L vs. 3,314.38±191.63 ng·min/L, P=0.004) in the absence of excess insulin secretion during the meal tolerance tests at week 16 versus baseline. The incidence of adverse or serious adverse events was similar between two groups.

Conclusion

In conclusion, a 16-week acarbose add-on therapy to metformin and sitagliptin, effectively lowered HbA1c without significant adverse events. Acarbose might be a good choice as a third-line therapy in addition to metformin and sitagliptin in Korean subjects with T2DM who have predominant postprandial hyperglycemia and a high carbohydrate intake.

Citations

Citations to this article as recorded by

The effect of acarbose on inflammatory cytokines and adipokines in adults: a systematic review and meta-analysis of randomized clinical trials
Ali Mohammadian, Sahand Tehrani Fateh, Mahlagha Nikbaf-Shandiz, Fatemeh Gholami, Niloufar Rasaei, Hossein Bahari, Samira Rastgoo, Reza Bagheri, Farideh Shiraseb, Omid Asbaghi
Inflammopharmacology.2024; 32(1): 355. CrossRef
An Update on Dipeptidyl Peptidase-IV Inhibiting Peptides
Sachithanantham Annapoorani Sivaraman, Varatharajan Sabareesh
Current Protein & Peptide Science.2024; 25(4): 267. CrossRef
The effect of acarbose treatment on anthropometric indices in adults: A systematic review and meta-analysis of randomized clinical trials
Elnaz Golalipour, Dorsa Hosseininasab, Mahlagha Nikbaf-Shandiz, Niloufar Rasaei, Hossein Bahari, Mahya Mehri Hajmir, Samira Rastgoo, Farideh Shiraseb, Omid Asbaghi
Clinical Nutrition Open Science.2024; 56: 166. CrossRef
Deciphering Molecular Aspects of Potential α-Glucosidase Inhibitors within Aspergillus terreus: A Computational Odyssey of Molecular Docking-Coupled Dynamics Simulations and Pharmacokinetic Profiling
Sameh S. Elhady, Noha M. Alshobaki, Mahmoud A. Elfaky, Abdulrahman E. Koshak, Majed Alharbi, Reda F. A. Abdelhameed, Khaled M. Darwish
Metabolites.2023; 13(8): 942. CrossRef
Change of metformin concentrations in the liver as a pharmacological target site of metformin after long-term combined treatment with ginseng berry extract
Choong Whan Lee, Byoung Hoon You, Sreymom Yim, Seung Yon Han, Hee-Sung Chae, Mingoo Bae, Seo-Yeon Kim, Jeong-Eun Yu, Jieun Jung, Piseth Nhoek, Hojun Kim, Han Seok Choi, Young-Won Chin, Hyun Woo Kim, Young Hee Choi
Frontiers in Pharmacology.2023;[Epub] CrossRef
A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications
Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman
Life.2023; 13(4): 1012. CrossRef
The effects of acarbose treatment on cardiovascular risk factors in impaired glucose tolerance and diabetic patients: a systematic review and dose–response meta-analysis of randomized clinical trials
Mohammad Zamani, Mahlagha Nikbaf-Shandiz, Yasaman Aali, Niloufar Rasaei, Mahtab Zarei, Farideh Shiraseb, Omid Asbaghi
Frontiers in Nutrition.2023;[Epub] CrossRef
The effect of acarbose on lipid profiles in adults: a systematic review and meta-analysis of randomized clinical trials
Mohsen Yousefi, Sahand Tehrani Fateh, Mahlagha Nikbaf-Shandiz, Fatemeh Gholami, Samira Rastgoo, Reza Bagher, Alireza Khadem, Farideh Shiraseb, Omid Asbaghi
BMC Pharmacology and Toxicology.2023;[Epub] CrossRef
A systematic review, meta-analysis, dose-response, and meta-regression of the effects of acarbose intake on glycemic markers in adults
Sina Raissi Dehkordi, Naseh Pahlavani, Mahlagha Nikbaf-Shandiz, Reza Bagheri, Niloufar Rasaei, Melika Darzi, Samira Rastgoo, Hossein Bahari, Farideh Shiraseb, Omid Asbaghi
Journal of Diabetes & Metabolic Disorders.2023; 23(1): 135. CrossRef
Inhibitory activity of xanthoangelol isolated from Ashitaba (Angelica keiskei Koidzumi) towards α-glucosidase and dipeptidyl peptidase-IV: in silico and in vitro studies
Diah Lia Aulifa, I Ketut Adnyana, Sukrasno Sukrasno, Jutti Levita
Heliyon.2022; 8(5): e09501. CrossRef
Design, synthesis, and in silico studies of benzimidazole bearing phenoxyacetamide derivatives as α-glucosidase and α-amylase inhibitors
Nahal Shayegan, Aida Iraji, Nasim Bakhshi, Ali Moazzam, Mohammad Ali Faramarzi, Somayeh Mojtabavi, Seyyed Mehrdad Mostafavi Pour, Maliheh Barazandeh Tehrani, Bagher Larijani, Zahra Rezaei, Pardis Yousefi, Mehdi Khoshneviszadeh, Mohammad Mahdavi
Journal of Molecular Structure.2022; 1268: 133650. CrossRef
American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan—2022 Update
Lawrence Blonde, Guillermo E. Umpierrez, S. Sethu Reddy, Janet B. McGill, Sarah L. Berga, Michael Bush, Suchitra Chandrasekaran, Ralph A. DeFronzo, Daniel Einhorn, Rodolfo J. Galindo, Thomas W. Gardner, Rajesh Garg, W. Timothy Garvey, Irl B. Hirsch, Danie
Endocrine Practice.2022; 28(10): 923. CrossRef
Combination of Bawang Dayak Extract and Acarbose against Male White Rat Glucose Levels
Aditya Maulana Perdana Putra, Ratih Pratiwi Sari, Siska Musiam
Borneo Journal of Pharmacy.2021; 4(2): 84. CrossRef
Natural α-Glucosidase and Protein Tyrosine Phosphatase 1B Inhibitors: A Source of Scaffold Molecules for Synthesis of New Multitarget Antidiabetic Drugs
Massimo Genovese, Ilaria Nesi, Anna Caselli, Paolo Paoli
Molecules.2021; 26(16): 4818. CrossRef
Impact of Simulated Gastrointestinal Conditions on Antiglycoxidant and α-Glucosidase Inhibition Capacities of Cyanidin-3-O-Glucoside
Didier Fraisse, Alexis Bred, Catherine Felgines, François Senejoux
Antioxidants.2021; 10(11): 1670. CrossRef

Statin Discontinuation after Achieving a Target Low Density Lipoprotein Cholesterol Level in Type 2 Diabetic Patients without Cardiovascular Disease: A Randomized Controlled Study: Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Seung-Hyun Ko, Yoon-Hee Choi, Kun-Ho Yoon, Yu-Bae Ahn; Diabetes Metab J. 2014;38(1):64-73. Published online February 19, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.1.64

4,753 View
53 Download
17 Web of Science
16 Crossref

Abstract PDF PubReader

Background

This study investigated the rate of relapse of dyslipidemia and the factors which could predict relapse following a short-term statin discontinuation after achieving a target low density lipoprotein cholesterol (LDL-C) level in type 2 diabetic patients without cardiovascular disease (CVD).

Methods

Ninety-nine subjects on rosuvastatin treatment and whose LDL-C level was lower than 100 mg/dL were randomly assigned to discontinue or maintain statin treatment at a 2:1 ratio. The subjects were followed-up after 10 weeks. A relapse of dyslipidemia was defined as a reascent of LDL-C level to greater than 100 mg/dL.

Results

The statin discontinuation group had a significant rate of relapse compared to the maintenance group (79% vs. 3%, respectively). Pretreatment and baseline lipid levels, their ratios, and hemoglobin A1c level were significantly different between the relapse and nonrelapse groups. The pretreatment and baseline lipid profiles and their ratios were independently associated with relapse. The pretreatment LDL-C level was the most useful parameter for predicting a relapse, with a cutoff of 123 mg/dL. During the follow-up period, no CVD event was noted.

Conclusion

The relapse rate of dyslipidemia was high when statins were discontinued in type 2 diabetic patients without CVD. Statin discontinuation should be considered carefully based on the pretreatment lipid profiles of patients.

Citations

Citations to this article as recorded by

Postmarketing Reports of Incomplete Dosing-Related Complications with Self-Injected PCSK9 Inhibitors: A Descriptive Study and Disproportionality Analysis
Richard H. Woods
BioDrugs.2024; 38(4): 589. CrossRef
Cardiovascular Outcomes and Mortality Associated With Discontinuing Statins in Older Patients Receiving Polypharmacy
Federico Rea, Annalisa Biffi, Raffaella Ronco, Matteo Franchi, Simona Cammarota, Anna Citarella, Valeria Conti, Amelia Filippelli, Carmine Sellitto, Giovanni Corrao
JAMA Network Open.2021; 4(6): e2113186. CrossRef
Visit-to-visit variability of lipid measurements and the risk of myocardial infarction and all-cause mortality: A prospective cohort study
Xiaoxue Liu, Shouling Wu, Qiaofeng Song, Xizhu Wang
Atherosclerosis.2020; 312: 110. CrossRef
2018 Guidelines for the management of dyslipidemia
Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
The Korean Journal of Internal Medicine.2019; 34(4): 723. CrossRef
2018 Guidelines for the Management of Dyslipidemia in Korea
Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
Journal of Lipid and Atherosclerosis.2019; 8(2): 78. CrossRef
Patterns of statin use and long‐term adherence and persistence among older adults with diabetes
Richard Ofori‐Asenso, Jenni Ilomäki, Mark Tacey, Ella Zomer, Andrea J. Curtis, J. Simon Bell, Sophia Zoungas, Danny Liew
Journal of Diabetes.2018; 10(9): 699. CrossRef
Effect of visit-to-visit LDL-, HDL-, and non-HDL-cholesterol variability on mortality and cardiovascular outcomes after percutaneous coronary intervention
Eun Young Lee, Yeoree Yang, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Wook Sung Chung, Seung-Hwan Lee, Kiyuk Chang
Atherosclerosis.2018; 279: 1. CrossRef
Change in ALT levels after administration of HMG‐CoA reductase inhibitors to subjects with pretreatment levels three times the upper normal limit in clinical practice
Hyunah Kim, Hyeseon Lee, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
Cardiovascular Therapeutics.2018;[Epub] CrossRef
Orthodox religious fasting as a medical nutrition therapy for dyslipidemia: where do we stand and how far can we go?
Theocharis Koufakis, Spyridon N Karras, Pantelis Zebekakis, Kalliopi Kotsa
European Journal of Clinical Nutrition.2018; 72(4): 474. CrossRef
Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization
Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu, Katriina Aalto-Setala
PLOS ONE.2018; 13(6): e0197518. CrossRef
Impact of educational outreach intervention on enhancing health care providers' knowledge about statin therapy prescribing in Malaysian patients with type 2 diabetes mellitus
Mohamed Hassan Elnaem, Mohamad Haniki Nik Mohamed, Hasniza Zaman Huri, Shah M Azarisman
Journal of Evaluation in Clinical Practice.2018; 24(3): 521. CrossRef
Use of Moderate‐Intensity Statins for Low‐Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans
Hun‐Sung Kim, Hyeseon Lee, Sue Hyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung‐Hwan Lee, Jae Hyoung Cho, In‐Young Choi, Kun‐Ho Yoon, Ju Han Kim
Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 272. CrossRef
Cholesterol variability and the risk of mortality, myocardial infarction, and stroke: a nationwide population-based study
Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Yong-Moon Park, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
European Heart Journal.2017; 38(48): 3560. CrossRef
Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292. CrossRef
The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156. CrossRef
Statin for the Primary Prevention of Cardiovascular Disease in Patients with Diabetes Mellitus
Bo Kyung Koo
Diabetes & Metabolism Journal.2014; 38(1): 32. CrossRef

Review

Ubiquitous Diabetes Management System via Interactive Communication Based on Information Technologies: Clinical Effects and Perspectives: Jae-Hyoung Cho, Hun-Sung Kim, Jae-Hoon Han, Jin-Hee Lee, Jeong-Ah Oh, Yoon-Hee Choi, Kun-Ho Yoon; Korean Diabetes J. 2010;34(5):267-273. Published online October 31, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.5.267

4,184 View
30 Download
16 Crossref

Abstract PDF PubReader

New diabetes management systems based on interactive communication have been introduced recently, accompanying rapid advances in information technology; these systems are referred to as "ubiquitous diabetes management systems." In such ubiquitous systems, patients and medical teams can communicate via Internet or telecommunications, with patients uploading their glucose data and personal information, and medical teams sending optimal feedback. Clinical evidence from both long-term and short-term trials has been reported by some researchers. Such systems appear to be effective not only in reducing the levels of HbA1c but also in stabilizing glucose control. However, most notably, evidence for the cost-effectiveness of such a system should be demonstrated before it can be propagated out to the general population in actual clinical practice. To establish a cost-effective model, various types of clinical decision supporting software designed to reduce the labor time of physicians must first be developed. A number of sensors and devices for monitoring patients' data are expected to be available in the near future; thus, methods for automatic interconnections between devices and web charts were also developed. Further investigations to demonstrate the clinical outcomes of such a system should be conducted, hopefully leading to a new paradigm of diabetes management.

Citations

Citations to this article as recorded by

Development of a diabetes mobile healthcare system and clinical application in China: a narrative review
Lin Sun, Zhuo Li, Shugang Xi, Huan Wang, Heyuan Wang, Haimin Wang, Ruoxuan Peng, Qin Xu, Mei Gao, Xianchao Xiao, Gang Wang, Yuan Gao, Guixia Wang, Chenglin Sun
Journal of Public Health.2021; 29(6): 1471. CrossRef
A case-control study of pattern and determinants of quality of life of patients with diabetes in a developing country
Ofem Enang, Ogban Omoronyia, Udeme Asibong, Agam Ayuk, Kenneth Nwafor, Annette Legogie
Journal of the Egyptian Public Health Association.2021;[Epub] CrossRef
Clinical Effects of Remote Glucose Monitoring and Patient-Centered Education Platform for Patients with Diabetes
Yeoree Yang, Jae-Hyoung Cho
The Journal of Korean Diabetes.2020; 21(4): 204. CrossRef
Low Cost Inkjet Fabrication of Glucose Electrochemical Sensors Based on Copper Oxide
R. Bernasconi, A. Mangogna, L. Magagnin
Journal of The Electrochemical Society.2018; 165(8): B3176. CrossRef
An Internet-based health gateway device for interactive communication and automatic data uploading: Clinical efficacy for type 2 diabetes in a multi-centre trial
Jae Hyoung Cho, Hun-Sung Kim, Seung Hyun Yoo, Chang Hee Jung, Woo Je Lee, Cheol Young Park, Hae Kyung Yang, Joong Yeol Park, Sung Woo Park, Kun Ho Yoon
Journal of Telemedicine and Telecare.2017; 23(6): 595. CrossRef
A systematic review on incentive-driven mobile health technology: As used in diabetes management
Michael de Ridder, Jinman Kim, Yan Jing, Mohamed Khadra, Ralph Nanan
Journal of Telemedicine and Telecare.2017; 23(1): 26. CrossRef
New Directions in Chronic Disease Management
Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
Endocrinology and Metabolism.2015; 30(2): 159. 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
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
Therapeutic training: past, present and future
Alexander Sergeevich Ametov, Bulat Iskandarovich Valitov, Natalya Al'bertovna Chernikova
Diabetes mellitus.2012; 15(1): 71. 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
Provider and Systems Factors in Diabetes Quality of Care
Kimia Ghaznavi, Shaista Malik
Current Cardiology Reports.2012; 14(1): 97. CrossRef
Effectiveness and safety of a glucose data-filtering system with automatic response software to reduce the physician workload in managing type 2 diabetes
Jae-Hyoung Cho, Yoon-Hee Choi, Hun-Sung Kim, Jin-Hee Lee, Kun-Ho Yoon
Journal of Telemedicine and Telecare.2011; 17(5): 257. CrossRef
Effects on diabetes management of a health-care provider mediated, remote coaching system via a PDA-type glucometer and the Internet
Jae-Hyoung Cho, Hyuk-Sang Kwon, Hun-Sung Kim, Jeong-Ah Oh, Kun-Ho Yoon
Journal of Telemedicine and Telecare.2011; 17(7): 365. CrossRef

First
Prev
Page of 1
Next
Last

Search