Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
22 "Sung Woon Kim"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Clinical Diabetes and Therapeutics
Cardio-Ankle Vascular Index as a Surrogate Marker of Early Atherosclerotic Cardiovascular Disease in Koreans with Type 2 Diabetes Mellitus
So Young Park, Sang Ook Chin, Sang Youl Rhee, Seungjoon Oh, Jeong-Taek Woo, Sung Woon Kim, Suk Chon
Diabetes Metab J. 2018;42(4):285-295.   Published online July 27, 2018
DOI: https://doi.org/10.4093/dmj.2017.0080
  • 4,750 View
  • 51 Download
  • 18 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   
Background

Carotid artery intima medial thickness (IMT), brachial-ankle pulse wave velocity (baPWV), and ankle-brachial index (ABI) are commonly used surrogate markers of subclinical atherosclerosis in patients with type 2 diabetes mellitus (T2DM). The cardio-ankle vascular index (CAVI) is a complement to the baPWV, which is affected by blood pressure. However, it is unclear which marker is the most sensitive predictor of atherosclerotic cardiovascular disease (ASCVD).

Methods

This was a retrospective non-interventional study that enrolled 219 patients with T2DM. The correlations among IMT, ABI, and CAVI as well as the relationship of these tests to the 10-year ASCVD risk were also analyzed.

Results

Among the 219 patients, 39 (17.8%) had ASCVD. In the non-ASCVD group, CAVI correlated significantly with IMT after adjusting for confounding variables, but ABI was not associated with CAVI or IMT. The analyses after dividing the non-ASCVD group into three subgroups according to the CAVI score (<8, ≥8 and <9, and ≥9) demonstrated the significant increase in the mean IMT, 10-year ASCVD risk and number of metabolic syndrome risk factors, and decrease in the mean ABI in the high-CAVI group. A high CAVI was an independent risk factor in the non-ASCVD group for both a high 10-year ASCVD risk (≥7.5%; odds ratio [OR], 2.42; P<0.001) and atherosclerosis (mean IMT ≥1 mm; OR, 1.53; P=0.007).

Conclusion

In Korean patients with T2DM without ASCVD, CAVI was the most sensitive of several surrogate markers for the detection of subclinical atherosclerosis.

Citations

Citations to this article as recorded by  
  • The effects of severe periodontitis on arterial stiffness using cardio‐ankle vascular index in patients with type 2 diabetes
    Gizem Torumtay Cin, Semin Melahat Fenkci, Ismail Doğu Kiliç, Halil Serdar Aslan, Cihan İlyas Sevgican, Hande Şenol
    Journal of Periodontal Research.2024; 59(1): 74.     CrossRef
  • Prediction of cardiovascular disease using deep learning algorithms to prevent COVID 19
    Malathi S, Arockia Raj Y, Abhishek Kumar, V D Ashok Kumar, Ankit Kumar, Elangovan D, V D Ambeth Kumar, Chitra B, a Abirami
    Journal of Experimental & Theoretical Artificial Intelligence.2023; 35(6): 791.     CrossRef
  • Association of cardio-ankle vascular index and future major adverse cardiovascular events in older adults living with HIV
    Amaraporn Rerkasem, Arunrat Tangmunkongvorakul, Linda Aurpibul, Patumrat Sripan, Wason Parklak, Sothida Nantakool, Kriengkrai Srithanaviboonchai, Kittipan Rerkasem
    AIDS Care.2023; 35(4): 591.     CrossRef
  • Impact of Fasting Blood Glucose Levels on Blood Pressure Parameters among Older Adults with Prediabetes
    Thapanee Roengrit, Ruchada Sri-Amad, Nawiya Huipao, Suphawadee Phababpha, Piyapong Prasertsri, Francesco Giallauria
    The Scientific World Journal.2023; 2023: 1.     CrossRef
  • A framework of biomarkers for vascular aging: a consensus statement by the Aging Biomarker Consortium
    Le Zhang, Jun Guo, Yuehong Liu, Shimin Sun, Baohua Liu, Qi Yang, Jun Tao, Xiao-Li Tian, Jun Pu, Huashan Hong, Miao Wang, Hou-Zao Chen, Jie Ren, Xiaoming Wang, Zhen Liang, Yuan Wang, Kai Huang, Weiqi Zhang, Jing Qu, Zhenyu Ju, Guang-Hui Liu, Gang Pei, Jian
    Life Medicine.2023;[Epub]     CrossRef
  • Diastolic Pressure and ACR Are Modifiable Risk Factors of Arterial Stiffness in T2DM Without Cardiovascular Disease
    Gateano Leto, Lida Tartaglione, Silverio Rotondi, Marzia Pasquali, Ernesto Maddaloni, Carmen Mignogna, Luca D’Onofrio, Simona Zampetti, Angela Carlone, Maria Luisa Muci, Daniela Mastroluca, Valeria Fassino, Raffaella Buzzetti, Sandro Mazzaferro
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): e3857.     CrossRef
  • Risk assessment indicators and brachial-ankle pulse wave velocity to predict atherosclerotic cardiovascular disease
    Hung-Ju Ko, Chuan-Chuan Liu, Po-Jui Hsu, Kuang-Chun Hu, Chung-Lieh Hung, Lo-Yip Yu, Yun-Chieh Huang, Shou-Chuan Shih
    Medicine.2022; 101(32): e29609.     CrossRef
  • Prediction of Cardiovascular Disease Using Machine Learning Technique—A Modern Approach
    Jung-Hwa Kim, Jin-Woo Jeong
    Computers, Materials & Continua.2022; 71(1): 855.     CrossRef
  • Cardio-ankle vascular index represents the best surrogate for 10-year ASCVD risk estimation in patients with primary hypertension
    Mustafa Tarik Agac, Süret Ağaç, Muhammed Necati Murat Aksoy, Mehmet Bülent Vatan
    Clinical and Experimental Hypertension.2021; 43(4): 349.     CrossRef
  • Relation between fragmented QRS complex and cardio-ankle vascular index in asymptomatic subjects
    Ali Rıza Akyüz, Sinan Şahin, Ömer Faruk Çırakoğlu, Selim Kul, Turhan Turan, Hakan Erkan
    Clinical and Experimental Hypertension.2021; 43(4): 368.     CrossRef
  • Progress of clinical evaluation for vascular aging in humans
    Yumin Qiu, Yuanya Liu, Jun Tao
    Journal of Translational Internal Medicine.2021; 9(1): 17.     CrossRef
  • Effects of long-term air pollution exposure on ankle-brachial index and cardio-ankle vascular index: A longitudinal cohort study using data from the Electricity Generating Authority of Thailand study
    Kanawat Paoin, Kayo Ueda, Prin Vathesatogkit, Thammasin Ingviya, Suhaimee Buya, Arthit Phosri, Xerxes Tesoro Seposo, Nisakron Thongmung, Teerapat Yingchoncharoen, Akiko Honda, Hirohisa Takano, Piyamitr Sritara
    International Journal of Hygiene and Environmental Health.2021; 236: 113790.     CrossRef
  • The Relationship Between Glycemic Control and Concomitant Hypertension on Arterial Stiffness in Type II Diabetes


    Teonchit Nuamchit, Duangduan Siriwittayawan, Piyanuch Thitiwuthikiat
    Vascular Health and Risk Management.2020; Volume 16: 343.     CrossRef
  • Relationship between cardio-ankle vascular index and obstructive coronary artery disease
    Divya Birudaraju, Lavanya Cherukuri, April Kinninger, Bhanu T. Chaganti, Pishoy Haroun, Sivakrishna Pidikiti, Suvasini Lakshmanan, Sajad Hamal, Ferdinand Flores, Christopher Dailing, Kashif Shaikh, Sion K. Roy, Matthew J. Budoff
    Coronary Artery Disease.2020; 31(6): 550.     CrossRef
  • Association of Kidney Function Tests with a Cardio-Ankle Vascular Index in Community-Dwelling Individuals with a Normal or Mildly Decreased Estimated Glomerular Filtration Rate
    Javad Alizargar, Chyi-Huey Bai, Nan-Chen Hsieh, Shu-Fang Vivienne Wu, Shih-Yen Weng, Jia-Ping Wu
    Medicina.2019; 55(10): 657.     CrossRef
  • Cardiovascular remodeling in patients with diabetic сardiomyopathy
    A. S. Veklich, N. A. Koziolova, P. G. Karavaev
    Russian Journal of Cardiology.2019; (11): 42.     CrossRef
  • Short‑term impact of aged garlic extract on endothelial function in diabetes: A randomized, double‑blind, placebo‑controlled trial
    Sajad Hamal, Lavanya Cherukuri, Divya Birudaraju, Suguru Matsumoto, April Kinninger, Bhanu Chaganti, Ferdinand Flores, Kashif Shaikh, Sion Roy, Matthew Budoff
    Experimental and Therapeutic Medicine.2019;[Epub]     CrossRef
  • Association between Breakfast Frequency and Atherosclerotic Cardiovascular Disease Risk: A Cross-Sectional Study of KNHANES Data, 2014–2016
    Hyeon Ji Lee, Jieun Jang, Sang Ah Lee, Dong-Woo Choi, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2019; 16(10): 1853.     CrossRef
  • Response: Cardio-Ankle Vascular Index as a Surrogate Marker of Early Atherosclerotic Cardiovascular Disease in Koreans with Type 2 Diabetes Mellitus (Diabetes Metab J 2018;42:285-95)
    So Young Park, Suk Chon
    Diabetes & Metabolism Journal.2018; 42(5): 449.     CrossRef
  • Letter: Cardio-Ankle Vascular Index as a Surrogate Marker of Early Atherosclerotic Cardiovascular Disease in Koreans with Type 2 Diabetes Mellitus (Diabetes Metab J 2018;42:285-95)
    Dongwon Yi
    Diabetes & Metabolism Journal.2018; 42(5): 447.     CrossRef
A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction
Yu Jin Kim, Sang Youl Rhee, Jong Kyu Byun, So Young Park, Soo Min Hong, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Young Seol Kim
Diabetes Metab J. 2015;39(3):207-217.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.207
  • 9,762 View
  • 63 Download
  • 37 Web of Science
  • 46 Crossref
AbstractAbstract PDFPubReader   
Background

We developed for the first time a smartphone application designed for diabetes self-management in Korea and registered a patent for the relevant algorithm. We also investigated the user satisfaction with the application and the change in diabetes related self-care activities after using the application.

Methods

We conducted a questionnaire survey on volunteers with diabetes who were using the application. Ninety subjects responded to the questionnaire between June 2012 and March 2013. A modified version of the Summary of Diabetes Self-Care Activities (SDSCA) was used in this study.

Results

The survey results exhibited a mean subject age of 44.0 years old, and males accounted for 78.9% of the subjects. Fifty percent of the subjects had diabetes for less than 3 years. The majority of respondents experienced positive changes in their clinical course after using the application (83.1%) and were satisfied with the structure and completeness of the application (86.7%). Additionally, the respondents' answers indicated that the application was easy to use (96.7%) and recommendable to others (97.7%) and that they would continue using the application to manage their diabetes (96.7%). After using the Diabetes Notepad application, diabetes related self-care activities assessed by SDSCA displayed statistically significant improvements (P<0.05), except for the number of days of drinking.

Conclusion

This smartphone-based application can be a useful tool leading to positive changes in diabetes related self-care activities and increase user satisfaction.

Citations

Citations to this article as recorded by  
  • Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study
    Satoshi Inagaki, Kenji Kato, Kozue Abe, Hiroaki Takahashi, Tomokazu Matsuda
    ACI Open.2023; 07(01): e23.     CrossRef
  • The effect of mHealth program on behavior modification and health outcomes among patients with diabetes: A randomized controlled trial study
    Mohd Khairul Zul Hasymi Firdaus, Piyanuch Jittanoon, Umaporn Boonyasopun, Muhammad Kamil Che Hasan
    Belitung Nursing Journal.2023; 9(5): 437.     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review
    Andrew Donkor, Jennifer Akyen Ayitey, Prince Nyansah Adotey, Esther Oparebea Ofori, Doris Kitson-Mills, Verna Vanderpuye, Samuel Yaw Opoku, Tim Luckett, Meera R. Agar, Penelope Engel-Hills
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study
    Sang Woo Oh, Kyoung-Kon Kim, Sung Soo Kim, Su Kyung Park, Sangshin Park
    JMIR mHealth and uHealth.2022; 10(1): e27192.     CrossRef
  • Evaluation of a Smart After-Care Program for Patients with Lung Cancer: A Prospective, Single-Arm Pilot Study
    Hee Chul Yang, Seung Hyun Chung, Ji Sung Yoo, Boram Park, Moon Soo Kim, Jong Mog Lee
    Journal of Chest Surgery.2022; 55(2): 108.     CrossRef
  • Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives
    I. N. Napolsky, P. V. Popova
    Russian Journal for Personalized Medicine.2022; 2(1): 15.     CrossRef
  • The effect of a mobile application on the foot care of individuals with type 2 diabetes: A randomised controlled study
    Berna Dincer, Nefise Bahçecik
    Health Education Journal.2021; 80(4): 425.     CrossRef
  • Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review
    Claudia Eberle, Maxine Löhnert, Stefanie Stichling
    JMIR mHealth and uHealth.2021; 9(2): e23477.     CrossRef
  • Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization
    Claudia Eberle, Stefanie Stichling, Maxine Löhnert
    Journal of Medical Internet Research.2021; 23(3): e23475.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study
    Ian Yi Han Ang, Kyle Xin Quan Tan, Clive Tan, Chiew Hoon Tan, James Wei Ming Kwek, Joanne Tay, Sue Anne Toh
    JMIR Diabetes.2021; 6(3): e25820.     CrossRef
  • The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review
    Maryam Zahmatkeshan, Somayyeh Zakerabasali, Mojtaba Farjam, Yousef Gholampour, Maryam Seraji, Azita Yazdani
    Journal of Medicine and Life.2021; 14(2): 131.     CrossRef
  • Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review
    Meghan Bradway, Elia Gabarron, Monika Johansen, Paolo Zanaboni, Patricia Jardim, Ragnar Joakimsen, Louise Pape-Haugaard, Eirik Årsand
    JMIR mHealth and uHealth.2020; 8(4): e16814.     CrossRef
  • Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial
    Yeoree Yang, Eun Young Lee, Hun-Sung Kim, Seung-Hwan Lee, Kun-Ho Yoon, Jae-Hyoung Cho
    JMIR mHealth and uHealth.2020; 8(2): e16266.     CrossRef
  • Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review
    Dillys Larbi, Pietro Randine, Eirik Årsand, Konstantinos Antypas, Meghan Bradway, Elia Gabarron
    Journal of Medical Internet Research.2020; 22(7): e18480.     CrossRef
  • Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial
    Soo Kyung Park, Cho Hee Bang, Seung Hyeun Lee
    Applied Nursing Research.2020; 52: 151231.     CrossRef
  • Development of an mHealth application for family carers of people with dementia: A study protocol
    Sarath Rathnayake, Wendy Moyle, Cindy Jingwen Jones, Pauline Calleja
    Collegian.2019; 26(2): 295.     CrossRef
  • Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey
    Ghadeer S Aljuraiban
    JMIR mHealth and uHealth.2019; 7(2): e12692.     CrossRef
  • Appropriate Medical Technology in the Era of the 4th Industrial Revolution
    Sang Youl Rhee
    The Korean Journal of Medicine.2019; 94(5): 387.     CrossRef
  • Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media
    Mihiretu M. Kebede, Claudia R. Pischke
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Development and Evaluation: The Satisfaction of Using an Oral Health Survey Mobile Application
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    Telemedicine and e-Health.2019; 25(1): 55.     CrossRef
  • Usability of a Disease Management Mobile Application as Perceived by Patients With Diabetes
    Roqaieh Janatkhah, Rasoul Tabari-Khomeiran, Attaolah Asadi-Louyeh, Ehsan Kazemnejad
    CIN: Computers, Informatics, Nursing.2019; 37(8): 413.     CrossRef
  • Structure and Characteristics of Diabetes Self-management Applications
    Sara Angelini, Gregorio Marco Alicastro, Sara Dionisi, Marco Di Muzio
    CIN: Computers, Informatics, Nursing.2019; 37(7): 340.     CrossRef
  • Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs
    Erik Baltaxe, Thomas Czypionka, Markus Kraus, Miriam Reiss, Jan Erik Askildsen, Renata Grenkovic, Tord Skogedal Lindén, János György Pitter, Maureen Rutten-van Molken, Oscar Solans, Jonathan Stokes, Verena Struckmann, Josep Roca, Isaac Cano
    Journal of Medical Internet Research.2019; 21(9): e14956.     CrossRef
  • A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial
    Kathryn I Marko, Nihar Ganju, Jill M Krapf, Nancy D Gaba, James A Brown, Joshua J Benham, Julia Oh, Lorna M Richards, Andrew C Meltzer
    JMIR mHealth and uHealth.2019; 7(5): e10520.     CrossRef
  • Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives
    Mary D. Adu, Usman H. Malabu, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli, Simone Borsci
    PLOS ONE.2018; 13(12): e0208942.     CrossRef
  • Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder
    Kayoung Song, Saejeong Lee, Woon Yoon, Changyoon Kim, Yeonho Joo, Jungsun Lee, Myong-Wuk Chon
    Journal of Korean Neuropsychiatric Association.2018; 57(3): 244.     CrossRef
  • mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience
    Anum Irfan Khan, Ashlinder Gill, Cheryl Cott, Parminder Kaur Hans, Carolyn Steele Gray
    JMIR mHealth and uHealth.2018; 6(8): e171.     CrossRef
  • Rules of engagement in mobile health: what does mobile health bring to research and theory?
    Cigdem Sahin
    Contemporary Nurse.2018; 54(4-5): 374.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Current Status and Effects of Nutrition Education Programs for Diabetic Patients in Korea
    Hae Jin Kang
    The Journal of Korean Diabetes.2018; 19(2): 106.     CrossRef
  • Mobile direct observation of therapy (MDOT) - A rapid systematic review and pilot study in children with asthma
    Michael D. Shields, Fahad ALQahtani, Michael P. Rivey, James C. McElnay, Jacobus P. van Wouwe
    PLOS ONE.2018; 13(2): e0190031.     CrossRef
  • App-basiertes Selbstmonitoring bei Typ-2-Diabetes
    A. Steinert, M. Haesner, E. Steinhagen-Thiessen
    Zeitschrift für Gerontologie und Geriatrie.2017; 50(6): 516.     CrossRef
  • Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives
    Kirstie Lithgow, Alun Edwards, Doreen Rabi
    JMIR Diabetes.2017; 2(1): e2.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Semantic representation and processing of hypoglycemic events derived from wearable sensor data
    Jean-Paul Calbimonte, Jean-Eudes Ranvier, Fabien Dubosson, Karl Aberer, Antonis Bikakis, Thanos G. Stavropoulos, Georgios Meditskos
    Journal of Ambient Intelligence and Smart Environments.2017; 9(1): 97.     CrossRef
  • Acceptability and Feasibility of a Smartphone Application for 5th, 6th Grade Elementary Students to Prevent Childhood Obesity; a Qualitative Study
    Ji-Hye Jung, Young-Gyu Cho, Da-Ye Ji, Jae-Heon Kang
    Korean Journal of Health Promotion.2016; 16(4): 251.     CrossRef
  • m-santé francophone et diabète : mise au point
    M. Halbron, M. Joubert, E. Sonnet
    Médecine des Maladies Métaboliques.2016; 10(3): 243.     CrossRef
  • Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity
    Sang Ouk Chin, Changwon Keum, Junghoon Woo, Jehwan Park, Hyung Jin Choi, Jeong-taek Woo, Sang Youl Rhee
    Scientific Reports.2016;[Epub]     CrossRef
  • The Wills Eye Glaucoma App: Interest of Patients and Their Caregivers in a Smartphone-based and Tablet-based Glaucoma Application
    Michael Waisbourd, Hermandeep Dhami, Chen Zhou, Michael Hsieh, Pramod Abichandani, Michael J. Pro, Marlene R. Moster, L. Jay Katz, Lisa A. Hark, Jonathan S. Myers
    Journal of Glaucoma.2016; 25(9): e787.     CrossRef
  • Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial
    Kathryn I Marko, Jill M Krapf, Andrew C Meltzer, Julia Oh, Nihar Ganju, Anjali G Martinez, Sheetal G Sheth, Nancy D Gaba
    JMIR Research Protocols.2016; 5(4): e200.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Efficacy of a New Medical Information system, Ubiquitous Healthcare Service with Voice Inception Technique in Elderly Diabetic Patients
    Kyoung Min Kim, Kyeong Seon Park, Hyun Ju Lee, Yun Hee Lee, Ji Seon Bae, Young Joon Lee, Sung Hee Choi, Hak Chul Jang, Soo Lim
    Scientific Reports.2015;[Epub]     CrossRef
  • Six-month Outcomes of Mobile Phone Application-based Self-management in a Patient with Type 2 Diabetes
    Mi Kyeong Hong, Young Yun Cho, Mi Yong Rha, Jae Hyeon Kim, Moon-Kyu Lee
    Clinical Nutrition Research.2015; 4(3): 201.     CrossRef
  • Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes
    Vikash Dadlani, James A. Levine, Shelly K. McCrady-Spitzer, Eyal Dassau, Yogish C. Kudva
    Journal of Diabetes Science and Technology.2015; 9(6): 1208.     CrossRef
Hemoglobin A1c May Be an Inadequate Diagnostic Tool for Diabetes Mellitus in Anemic Subjects
Jung Il Son, Sang Youl Rhee, Jeong-taek Woo, Jin Kyung Hwang, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Sung Woon Kim, Young Seol Kim
Diabetes Metab J. 2013;37(5):343-348.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.343
  • 4,966 View
  • 60 Download
  • 33 Crossref
AbstractAbstract PDFPubReader   
Background

Recently, a hemoglobin A1c (HbA1c) level of 6.5% has been determined to be a criterion for diabetes mellitus (DM), and it is a widely used marker for the diagnosis of DM. However, HbA1c may be influenced by a number of factors. Anemia is one of the most prevalent diseases with an influence on HbA1c; however, its effect on HbA1c varies based on the variable pathophysiology of anemia. The aim of this study was to determine the effect of anemia on HbA1c levels.

Methods

Anemic subjects (n=112) and age- and sex-matched controls (n=217) who were drug naive and suspected of having DM were enrolled. The subjects underwent an oral glucose tolerance test and HbA1c simultaneously. We compared mean HbA1c and its sensitivity and specificity for diagnosing DM between each subgroup.

Results

Clinical characteristics were found to be similar between each subgroup. Also, when glucose levels were within the normal range, the difference in mean HbA1c was not significant (P=0.580). However, when plasma glucose levels were above the diagnostic cutoff for prediabetes and DM, the mean HbA1c of the anemic subgroup was modestly higher than in the nonanemic group. The specificity of HbA1c for diagnosis of DM was significantly lower in the anemic subgroup (P<0.05).

Conclusion

These results suggest that the diagnostic significance of HbA1c might be limited in anemic patients.

Citations

Citations to this article as recorded by  
  • Establishment of a feline glycated hemoglobin reference interval for a novel dried‐blood‐spot assay and the effects of anemia on assay results
    Jocelyn Mott, Jacqueline K. Dolan, Chen Gilor, Shir Gilor
    Veterinary Clinical Pathology.2023; 52(3): 531.     CrossRef
  • Waist circumference and glycaemia are strong predictors of progression to diabetes in individuals with prediabetes in sub-Saharan Africa: 4-year prospective cohort study in Malawi
    Wisdom P. Nakanga, Amelia C. Crampin, Joseph Mkandawire, Louis Banda, Rob C. Andrews, Andrew T. Hattersley, Moffat J. Nyirenda, Lauren R. Rodgers, Julia Robinson
    PLOS Global Public Health.2023; 3(9): e0001263.     CrossRef
  • Implications of Iron Deficiency Anaemia on Glycemic Dynamics in Diabetes Mellitus: A Critical Risk Factor in Cardiovascular Disease
    Eman Elsheikh, Sereen S Aljohani , Munirah M Alshaikhmubarak, Meshari A Alhawl, Alhanouf W Alsubaie, Norah Alsultan, Asmaa F Sharif, Sayed Ibrahim Ali
    Cureus.2023;[Epub]     CrossRef
  • Serum Iron Profile in Type 2 Diabetes, A Role Beyond Anemic Marker!
    Happy Chutia, Sungdirenla Jamir, Md Yasir, Gautam Handique
    The Journal of Medical Research.2023; 9(5): 129.     CrossRef
  • Large-scale retrospective analyses of the effect of iron deficiency anemia on hemoglobin A1c concentrations
    Lokinendi V. Rao, George W. Pratt, Caixia Bi, Martin H. Kroll
    Clinica Chimica Acta.2022; 529: 21.     CrossRef
  • Glycemic Abnormalities Assessment on Children and Adolescents with Beta-Thalassemia Major
    Siska Mayasari Lubis, Bidasari Lubis, Nadhira Anindita Ralena
    Open Access Macedonian Journal of Medical Sciences.2022; 10(B): 697.     CrossRef
  • Integrity loss of glycosylated hemoglobin with deepening anemia
    Bünyamin AYDIN, Aysun GÖNDEREN
    Journal of Health Sciences and Medicine.2022; 5(3): 839.     CrossRef
  • Effect of anemia and erythrocyte indices on hemoglobin A1c levels among pregnant women
    Zong-Hui Guo, Huai-Liang Tian, Xiao-Qian Zhang, Deng-Han Zhang, Zhi-Min Wang, Kun Wang, Wen-Wen Su, Fei Chen
    Clinica Chimica Acta.2022; 534: 1.     CrossRef
  • Genetic association of anthropometric traits with type 2 diabetes in ethnically endogamous Sindhi families
    Manju Mamtani, Manisha T. Jaisinghani, Sujeet G. Jaiswal, Kanchan V. Pipal, Ashwini A. Patel, Hemant Kulkarni, Lee-Ling Lim
    PLOS ONE.2021; 16(9): e0257390.     CrossRef
  • Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study
    See Ling Loy, Jinjie Lin, Yin Bun Cheung, Aravind Venkatesh Sreedharan, Xinyi Chin, Keith M. Godfrey, Kok Hian Tan, Lynette Pei-Chi Shek, Yap Seng Chong, Melvin Khee-Shing Leow, Chin Meng Khoo, Yung Seng Lee, Shiao-Yng Chan, Ngee Lek, Jerry Kok Yen Chan,
    Scientific Reports.2021;[Epub]     CrossRef
  • Increased risks of different grades of non‐alcoholic fatty liver disease in prediabetic subjects with impaired fasting glucose and glucose tolerance, including the isolated glycosylated hemoglobin levels of 5.7–6.4% in a Chinese population
    Chung‐Hao Li, Yu‐Tsung Chou, Wei‐Chen Shen, Feng‐Hwa Lu, Yi‐Ching Yang, Jin‐Shang Wu, Chih‐Jen Chang
    Journal of Diabetes Investigation.2020; 11(5): 1336.     CrossRef
  • Evaluation of continuous glucose monitoring system for detection of alterations in glucose homeostasis in pediatric patients with β-thalassemia major
    Mona H. El-Samahy, Azza A. Tantawy, Amira A. Adly, Abeer A. Abdelmaksoud, Eman A. Ismail, Nouran Y. Salah
    Pediatric Diabetes.2019; 20(1): 65.     CrossRef
  • Glycosylated Hemoglobin in Subjects Affected by Iron-Deficiency Anemia
    Jari Intra, Giuseppe Limonta, Fabrizio Cappellini, Maria Bertona, Paolo Brambilla
    Diabetes & Metabolism Journal.2019; 43(4): 539.     CrossRef
  • The role of telenursing in the management of diabetes:A systematic review and meta‐analysis
    Sa Yang, Qiuhuan Jiang, Hongfang Li
    Public Health Nursing.2019; 36(4): 575.     CrossRef
  • Glycated haemoglobin and iron deficiency anaemia: a case‐control study
    Jari Intra, Giuseppe Limonta, Fabrizio Cappellini, Maria Bertona, Paolo Brambilla
    Practical Diabetes.2018; 35(3): 90.     CrossRef
  • Intravenous Ferric Carboxymaltose in Patients with Type 2 Diabetes Mellitus and Iron Deficiency: CLEVER Trial Study Design and Protocol
    Christoph Schindler, Andreas L. Birkenfeld, Markolf Hanefeld, Ulrike Schatz, Carsta Köhler, Martin Grüneberg, Diethelm Tschöpe, Matthias Blüher, Christoph Hasslacher, Stefan R. Bornstein
    Diabetes Therapy.2018; 9(1): 37.     CrossRef
  • Effectiveness of smartphone technologies on glycaemic control in patients with type 2 diabetes: systematic review with meta‐analysis of 17 trials
    I. X. Y. Wu, J. C. Y. Kee, D. E. Threapleton, R. C. W. Ma, V. C. K. Lam, E. K. P. Lee, S. Y. S. Wong, V. C. H. Chung
    Obesity Reviews.2018; 19(6): 825.     CrossRef
  • Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome
    Zubin Punthakee, Ronald Goldenberg, Pamela Katz
    Canadian Journal of Diabetes.2018; 42: S10.     CrossRef
  • Iron status and its association with HbA1c levels in Dutch children with diabetes mellitus type 1
    Marjolijn D. Akkermans, E. C. A. Mieke Houdijk, Boudewijn Bakker, Agnes Clement-de Boers, Daniëlle C. M. van der Kaay, Martine C. de Vries, M. Claire Woltering, Dick Mul, Johannes B. van Goudoever, Frank Brus
    European Journal of Pediatrics.2018; 177(4): 603.     CrossRef
  • Association between Hemoglobin and Hemoglobin A1c: A Data-Driven Analysis of Health Checkup Data in Japan
    Masato Takeuchi, Koji Kawakami
    Journal of Clinical Medicine.2018; 7(12): 539.     CrossRef
  • Sex and age affect agreement between fasting plasma glucose and glycosylated hemoglobin for diagnosis of dysglycemia
    Mercedes Lorenzo-Medina, Begoña Uranga, Antonio Rus, Rosa Martínez, Carolina Puertas, María Dolores Blanco, Ernesto Casís, Rosa Corcoy
    Endocrinología, Diabetes y Nutrición.2017; 64(7): 345.     CrossRef
  • Sex and age affect agreement between fasting plasma glucose and glycosylated hemoglobin for diagnosis of dysglycemia
    Mercedes Lorenzo-Medina, Begoña Uranga, Antonio Rus, Rosa Martínez, Carolina Puertas, María Dolores Blanco, Ernesto Casís, Rosa Corcoy
    Endocrinología, Diabetes y Nutrición (English ed.).2017; 64(7): 345.     CrossRef
  • Impact of Mean Cell Hemoglobin on Hb A1c–Defined Glycemia Status
    Santiago Rodriguez-Segade, Javier Rodriguez Garcia, José M García-López, Francisco Gude, Felipe F Casanueva, Santiago RS-Alonso, Félix Camiña
    Clinical Chemistry.2016; 62(12): 1570.     CrossRef
  • Effect of iron deficiency anaemia on HbA1c levels is dependent on the degree of anaemia
    Juliana Frezza Silva, Ana Laura Pimentel, Joíza Lins Camargo
    Clinical Biochemistry.2016; 49(1-2): 117.     CrossRef
  • Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm
    Diabetes & Metabolism Journal.2016; 40(2): 167.     CrossRef
  • Non-alcoholic fatty liver disease associated with increased arterial stiffness in subjects with normal glucose tolerance, but not pre-diabetes and diabetes
    Chieh-Ying Chou, Yi-Ching Yang, Jin-Shang Wu, Zih-Jie Sun, Feng-Hwa Lu, Chih-Jen Chang
    Diabetes and Vascular Disease Research.2015; 12(5): 359.     CrossRef
  • Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
    G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
    The Lancet Diabetes & Endocrinology.2015; 3(8): 624.     CrossRef
  • Derivation and validation of an HbA1c optimal cutoff for diagnosing prediabetes in a South African mixed ancestry population
    Annalise E. Zemlin, Tandi E. Matsha, Andre P. Kengne, Rajiv T. Erasmus
    Clinica Chimica Acta.2015; 448: 215.     CrossRef
  • Factors affecting A1C in non-diabetic individuals: Review and meta-analysis
    Gabriela Cavagnolli, Ana Laura Pimentel, Priscila Aparecida Correa Freitas, Jorge Luiz Gross, Joíza Lins Camargo
    Clinica Chimica Acta.2015; 445: 107.     CrossRef
  • Limitations of Hemoglobin A1c for the Diagnosis of Posttransplant Diabetes Mellitus
    Ivar Anders Eide, Thea Anine Strøm Halden, Anders Hartmann, Anders Åsberg, Dag Olav Dahle, Anna V Reisæter, Trond Jenssen
    Transplantation.2015; 99(3): 629.     CrossRef
  • The effect of anaemia and abnormalities of erythrocyte indices on HbA1c analysis: a systematic review
    Emma English, Iskandar Idris, Georgina Smith, Ketan Dhatariya, Eric S. Kilpatrick, W. Garry John
    Diabetologia.2015; 58(7): 1409.     CrossRef
  • Relationship between Hb and HbA1c in Japanese adults: An analysis of the 2009 Japan Society of Ningen Dock database
    Eiko Takahashi, Kengo Moriyama, Minoru Yamakado
    Diabetes Research and Clinical Practice.2014; 104(3): e64.     CrossRef
  • Diagnosing Diabetes with Hemoglobin A1c: Current Debates and Considerations for Anemic Patients
    Tae Hyuk Kim, Sung Hee Choi
    Diabetes & Metabolism Journal.2013; 37(5): 340.     CrossRef
The Changes in Early Phase Insulin Secretion in Newly Diagnosed, Drug Naive Korean Prediabetes Subjects
Sang Youl Rhee, Joo Young Kim, Suk Chon, You Cheol Hwang, In Kyung Jeong, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung Woon Kim, Jin-Woo Kim, Young Seol Kim
Korean Diabetes J. 2010;34(3):157-165.   Published online June 30, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.3.157
  • 4,501 View
  • 28 Download
  • 15 Crossref
AbstractAbstract PDFPubReader   
Background

There have been no systematic observations regarding changes in early phase insulin secretion among Korean prediabetes and early stage type 2 diabetes mellitus (T2DM) patients.

Methods

We conducted 75-g oral glucose tolerance tests (OGTT) in 873 subjects with suspected abnormal glucose tolerance. All subjects were diagnosed as having normal glucose tolerance (NGT), prediabetes (preDM), or T2DM according to the OGTT results and the insulin secretory and insulin resistance indices of each subject were calculated. Additionally, we analyzed the changes in early phase insulin secretion according to changes in fasting (Glc0), post-prandial (Glc120) glucose and HbA1c (A1c) levels.

Results

As compared to subjects with NGT, the insulin secretory indices of the preDM and T2DM subjects progressively declined, and the insulin resistance indices were progressively aggravated. Early phase insulin secretion decreased rapidly according to the increments of Glc0, Glc120 and A1c, and these changes were most prominent in the NGT stage. Compared to the control group, the early phase insulin secretion levels of the preDM or T2DM subjects were less than 50% when Glc0 was over 100 mg/dL, Glc120 was over 145 mg/dL, and A1c was over 5.8%.

Conclusion

This study suggests that progressive beta cell dysfunction in Koreans may be initiated and rapidly aggravated during the period generally designated as 'normal.'

Citations

Citations to this article as recorded by  
  • Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study
    Sang Youl Rhee, Suk Chon, Kyu Jeung Ahn, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2019; 43(1): 49.     CrossRef
  • Differential role of insulin resistance and β-cell function in the development of prediabetes and diabetes in middle-aged and elderly Chinese population
    Xueli Cai, Lili Xia, Yuesong Pan, Dian He, Huiping Zhu, Tiemin Wei, Yan He
    Diabetology & Metabolic Syndrome.2019;[Epub]     CrossRef
  • Effects of Primary Aldosteronism and Different Therapeutic Modalities on Glucose Metabolism
    Mi Kyung Kwak, Jee Yang Lee, Beom-Jun Kim, Seung Hun Lee, Jung-Min Koh
    Journal of Clinical Medicine.2019; 8(12): 2194.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • Longitudinal Changes in Insulin Resistance, Beta-Cell Function and Glucose Regulation Status in Prediabetes
    Chul-Hee Kim, Hong-Kyu Kim, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Joong-Yeol Park
    The American Journal of the Medical Sciences.2018; 355(1): 54.     CrossRef
  • Prenatal Dexamethasone Exposure Programs the Development of the Pancreas and the Secretion of Insulin in Rats
    Yu-Chieh Chen, Ying-Hua Huang, Jiunn-Ming Sheen, You-Lin Tain, Hong-Ren Yu, Chih-Cheng Chen, Miao-Meng Tiao, Ho-Chang Kuo, Li-Tung Huang
    Pediatrics & Neonatology.2017; 58(2): 135.     CrossRef
  • Insulin Secretory Capacity and Insulin Resistance in Korean Type 2 Diabetes Mellitus Patients
    Jong-Dai Kim, Won-Young Lee
    Endocrinology and Metabolism.2016; 31(3): 354.     CrossRef
  • The effect of glargine versus glimepiride on pancreatic β-cell function in patients with type 2 diabetes uncontrolled on metformin monotherapy: open-label, randomized, controlled study
    Jun Sung Moon, Kyoung Soo Ha, Ji Sung Yoon, Hyoung Woo Lee, Hyun Chul Lee, Kyu Chang Won
    Acta Diabetologica.2014; 51(2): 277.     CrossRef
  • Association of Obstructive Sleep Apnea and Glucose Metabolism in Subjects With or Without Obesity
    Nan Hee Kim, Nam H. Cho, Chang-Ho Yun, Seung Ku Lee, Dae Wui Yoon, Hyun Joo Cho, Jae Hee Ahn, Ji A. Seo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Chol Shin
    Diabetes Care.2013; 36(12): 3909.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • Associations among Body Mass Index, Insulin Resistance, and Pancreatic β-Cell Function in Korean Patients with New-Onset Type 2 Diabetes
    Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung
    The Korean Journal of Internal Medicine.2012; 27(1): 66.     CrossRef
  • High normal HbA1c levels were associated with impaired insulin secretion without escalating insulin resistance in Japanese individuals: the Toranomon Hospital Health Management Center Study 8 (TOPICS 8)
    Y. Heianza, Y. Arase, K. Fujihara, H. Tsuji, K. Saito, S. D. Hsieh, S. Kodama, H. Shimano, N. Yamada, S. Hara, H. Sone
    Diabetic Medicine.2012; 29(10): 1285.     CrossRef
  • The Prediabetic Period: Review of Clinical Aspects
    Sang Youl Rhee, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2011; 35(2): 107.     CrossRef
  • Predictive characteristics of patients achieving glycaemic control with insulin after sulfonylurea failure
    Y.-H. Lee, B.-W. Lee, S. W. Chun, B. S. Cha, H. C. Lee
    International Journal of Clinical Practice.2011; 65(10): 1076.     CrossRef
  • Early Insulin Secretory Dysfunction in Korean Prediabetic Subjects: Should We Change the Criteria for "Prediabetes?"
    Chul-Hee Kim
    Korean Diabetes Journal.2010; 34(3): 154.     CrossRef
Retractions of Publication
Clinical Experience of the Reverse Iontophoresis Based Glucose Measuring System: Glucall(TM).
Sang Youl Rhee, Suk Chon, Gwanpyo Koh, Seungjoon Oh, Jeong taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim
Korean Diabetes J. 2009;33(2):167-167.   Published online April 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.2.167
  • 1,696 View
  • 22 Download
AbstractAbstract PDF
To the editor, My original paper that published in Journal of Korean Diabetes Association 2005;29:167-172, entitled, Clinical Experience of the Reverse Iontophoresis Based Glucose Measuring System: Glucall(TM) was submitted to other international journals by me and the coauthor at the same time independently. I hereby retract the paper.
Retraction: Insulin Secretion and Insulin Resistance in Newly Diagnosed, Drug Naive Prediabetes and Type 2 Diabetes Patients With/Without Metabolic Syndrome.
Sang Youl Rhee, Suk Chon, Seungjoon Oh, Sung Woon Kim, Jin Woo Kim, Young Seol Kim, Jeong Taek Woo
Korean Diabetes J. 2007;31(2):184-184.   Published online March 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.2.184
  • 1,493 View
  • 20 Download
AbstractAbstract PDF
No abstract available.
Original Articles
Mechanism of 2-Deoxy-D-ribose-induced Damage in Pancreatic beta-cells.
Gwanpyo Koh, Jeong taek Woo, Dae Ho Lee, Seungjoon Oh, Sung Woon Kim, Jin Woo Kim, Young Seol Kim, Deok Bae Park
Korean Diabetes J. 2007;31(2):105-112.   Published online March 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.2.105
  • 2,035 View
  • 21 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
Mechanism for glucose toxicity is known to be an increased oxidative stress produced by multiple pathways. In our previous report, 2-deoxy-d-ribose (dRib) promoted apoptosis by increasing oxidative stress in a pancreatic beta-cell line. We performed this study to investigate the mechanism of dRib-induced damage of beta-cells. METHODS: HIT-T15 cells were cultured in RPMI-1640 medium with 40 mM dRib for 24 hours after pretreatment with various concentrations of a metal chelator (DTPA) and inhibitors of protein glycation (aminoguanidine and pyridoxamine). Cell viability was determined by MTT assay. Apoptosis was analyzed by flow cytometry with annexin V/PI double staining. RESULTS: DTPA, which inhibits the monosaccharide autoxidation, partially reversed dRib-induced cytotoxicity in a dose-dependent manner (P < 0.01). The cytotoxicity was also suppressed dose-dependently by aminoguanidine (AG) and pyridoxamine (PM) (P < 0.05 and P < 0.01, repectively). Flow cytometric analysis showed that pretreatment of DTPA and AG also reversed the dRib-triggered apoptosis in a dose-dependent manner. We assessed the additional protective effects of inhibitors of protein glycation from dRib-induced cytotoxiciy in the presence of a metal chelator. The additions of AG (P < 0.05) and PM (P < 0.01) significantly reduced the cytotoxicity compared with DTPA alone group. CONCLUSION: This results suggest that dRib produce cytotoxicity and apoptosis through the mechanisms of advanced glycation endproducts (AGEs) formation including the monsaccharide autoxidation and protein glycation in pancreatic beta-cell. Thus, dRib could be a surrogate for glucose in the study of glucose toxicity and chronic diabetic complications.

Citations

Citations to this article as recorded by  
  • Isolation of Citrus Peel Flavonoid Bioconversion Microorganism and Inhibitory Effect on the Oxidative Damage in Pancreatic Beta Cells
    Chi-Deok Park, Hee-Kyung Jung, Chang-Ho Park, Yoo-Seok Jung, Joo-Heon Hong, Hee-Sun Ko, Dong-Hee Kang, Hyun-Soo Kim
    KSBB Journal.2012; 27(1): 67.     CrossRef
  • Kaempferol protects HIT‐T15 pancreatic beta cells from 2‐deoxy‐D‐ribose‐induced oxidative damage
    Yun Jung Lee, Kwang Sik Suh, Moon Chan Choi, Suk Chon, Seungjoon Oh, Jeong‐Taek Woo, Sung‐Woon Kim, Jin‐Woo Kim, Young Seol Kim
    Phytotherapy Research.2010; 24(3): 419.     CrossRef
Insulin Secretion and Insulin Resistance in Newly Diagnosed, Drug Naive Prediabetes and Type 2 Diabetes Patients With/Without Metabolic Syndrome.
Sang Youl Rhee, Suk Chon, Seungjoon Oh, Sung Woon Kim, Jin Woo Kim, Young Seol Kim, Jeong Taek Woo
Korean Diabetes J. 2006;30(3):198-206.   Published online May 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.3.198
  • 2,135 View
  • 24 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
To evaluate the relationships between deterioration in insulin secretion and aggravated insulin resistance in patients with newly diagnosed prediabetes (preDM) and type 2 diabetes mellitus (T2DM) according to the presence of metabolic syndrome (MS). METHODS: We performed oral glucose tolerance test (OGTT) on 322 drug naive subjects with a history of hyperglycemia of < or = 3 months, and divided these patients into 3 groups, normal glucose tolerance (NGT), preDM (IFG and/or IGT) and T2DM. We also diagnosed these subjects with respect to MS according to ATP III criteria modified by Asia-Pacific guidelines and compared IGI and HOMA-IR in the 3 groups. RESULTS: According to OGTT, 63 subjects were diagnosed with NGT, 81 with preDM, and 178 with T2DM. Using modified ATP III criteria, 218 (67.7%) subjects were diagnosed as MS. When compare groups stratified by the presence of MS, preDM and T2DM groups with MS showed significantly higher mean HOMA-IR and IGI than those without MS. When compare groups with respect to glucose tolerance, NGT, preDM, and T2DM subgroups in MS group showed significant higher HOMA-IR and lower IGI according to glucose tolerance. However, NGT, preDM, and T2DM subgroups in non-MS group showed a significant decrease in IGI but no significant difference in HOMA-IR as glucose tolerance worsened. CONCLUSION: Deterioration in IGI and aggravation of HOMA-IR are both important in the primary pathogenesis of diabetes in those with MS. However, IGI deterioration may be the only important factor in the primary pathogenesis of T2DM in the absence of MS.

Citations

Citations to this article as recorded by  
  • The Relationship between β-cell Function and Nutrient Intakes in Korean Adult - Using 4thKorea National Health and Nutrition Examination Survey 2009 -
    You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee
    Korean Journal of Community Nutrition.2012; 17(2): 243.     CrossRef
The Clinical Characteristics of Young Onset Diabetes According to Etiology Based Classification.
Mina Park, Yang Il Kang, Suk Chon, Seung joon Oh, Jeong taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim
Korean Diabetes J. 2006;30(3):190-197.   Published online May 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.3.190
  • 2,272 View
  • 58 Download
  • 4 Crossref
AbstractAbstract PDF
BACKGROUND
Recently, the number of young diabetic patients is increasing. It is important to understand the characteristics of young diabetes and classify it correctly to manage these patients successfully. We aimed to classify young onset diabetes according to etiology and evaluate the clinical characteristics. METHODS: Young patients (15~30 years old) who have been treated diabetes in Kyunghee medical center in 2004 were included. We investigated family history of diabetes, disease duration, body mass index (BMI), the history of diabetic ketoacidosis, HbA1c, fasting C-peptide, autoantibody, lipid profile and treatment method via medical records. RESULT: Total 85 patients (M:F 40:45) were evaluated. Type 1 diabetes was 45.9%, type 2 diabetes was 23.5% and unclassified group was 25.9%. Many type 2 diabetic patients were overweight or obese (94.8%). Most young diabetic patients were using insulin (95.4%). Many type 1 diabetic patients have been treated by insulin only and many type 2 diabetic patients have been received combined therapy of insulin and oral hypoglycemic agent. The recent HbA1c was average 8.32 +/- 2.7%. The prevalence of diabetic retinopathy, neuropathy and nephropathy was 32.9%, 22.4% and 16.4% as each. CONCLUSION: Nearly half of young onset diabetes was type 1 diabetes but many others were also classified to type 2 diabetes or unclassified group. It is important to provide a consistent algorithm for assessment and investigation for newly diagnosed young diabetic patients. More education and effort are required to control diabetes strictly and prevent its complication.

Citations

Citations to this article as recorded by  
  • The Difference in Risk Factors Between Adults With Early-Onset (<40 Years Old) Versus Late-Onset (≥40 Years Old) Type 2 Diabetes in a University Hospital From January 2015-December 2017
    Marilyn Katrina C Caro, Elaine C Cunanan
    Journal of Medicine, University of Santo Tomas.2022; 6(2): 1009.     CrossRef
  • Lifestyle-related predictors affecting prediabetes and diabetes in 20-30-year-old young Korean adults
    Kyong Sil Park, Seon Young Hwang
    Epidemiology and Health.2020; 42: e2020014.     CrossRef
  • The Clinical Characteristics of the Newly Diagnosed Early Onset (< 40 Years Old) Diabetes in Outpatients' Clinic
    Kyung-Soo Kim, Hyun-Ju Oh, Ji-Woon Kim, Yeo-Kyung Lee, Soo-Kyung Kim, Seok-Won Park, Yoo-Lee Kim, Won-Keun Park, Yong-Wook Cho
    Korean Diabetes Journal.2010; 34(2): 119.     CrossRef
  • Anti-GAD Antibody in Patients with Adult-Onset Diabetes in Korea
    Eun-Gyoung Hong
    Korean Diabetes Journal.2009; 33(1): 13.     CrossRef
Clinical Experience of the Reverse Iontopheresis Based Glucose Measuring System: GlucallTM.
Sang Youl Rhee, Suk Chon, Gwanpyo Koh, Seungjoon Oh, Jeong Taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim
Korean Diabetes J. 2005;29(2):167-172.   Published online March 1, 2005
  • 909 View
  • 16 Download
AbstractAbstract PDF
BACKGROUND
Finger pricking is currently the common method of blood glucose measurement in patients with diabetes mellitus. However, diabetes patients have proven reluctant to regularly check their glucose profiles because of the small amount of blood that is required. Recently, a non-invasive and continuous glucose monitoring device that is based on reverse iontophoresis(GlucallTM) has been developed. In this study we wanted to evaluate the accuracy and the clinical acceptability of this new device. METHODS: The study was conducted during the period from November 2003 to January 2004 on 19 in-patients who had been admitted to Kyung Hee University Hospital. Glucose measurements using GlucallTM were performed between 10am and 4pm. The concurrent plasma glucose levels were checked hourly and they were subsequently compared with the GlucallTM data. RESULTS: The mean error(ME) of the GlucallTM measurements was -3.45+/-52.99mg/dL with a mean absolute relative error(MARE) of 20+/-15.16%. Measurements obtained by GlucallTM had a correlation coefficient of 0.784(P<0.05) with the plasma glucose levels, as was determined by linear regression analysis. This correlation was consistent regardless of the time of data collection. However, after excluding such confounding variables as age and gender, the correlation coefficient exhibited a tendency to increase. 98.9% of the results were clinically acceptable according to Clarke error grid analysis. CONCLUSION: GlucallTM does not yet have the reliability and accuracy to wholly replace the conventional methods. However, further technical advancements to reduce its shortcomings will make this device useful for the management of diabetes patients
Case Report
A Case of Failure in Insulin Pump Treatment due to Abdominal Subcutaneous Fat Atrophy and Lipohypertrophied Nodules.
Sang Youl Rhee, Suk Chon, Gwanpyo Koh, Seungjoon Oh, Jeong taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim
Korean Diabetes J. 2004;28(6):547-553.   Published online December 1, 2004
  • 948 View
  • 20 Download
AbstractAbstract PDF
The insulin pump is an effective glycemic control device those function is analogous to the physiologic regulation of insulin in vivo. When sufficient patient education and proper selection of patients is done, the insulin pump is one of the most effective treatment modalities for diabetic patients. However, various side effects and complications might occur during its application. We report here on an unusual case of diabetic ketoacidosis that was caused by acute inflammatory colitis and insulin pump malfunction. Peculiarly, the cause of pump malfunction was far removed from its mechanical problem. We concluded that the cause of the insulin pump malfunction was due to abdominal subcutaneous fat atrophy and the lipohypertrophied nodules of the patient that developed due to the prolonged usage of the insulin pump.
Original Articles
The Effect of cAMP-Elevating Agents on High Glucose-Induced Apoptosis of Isolated Islets of Rat Pancreas.
Gwan Pyo Koh, Kwang Sik Suh, Suk Chon, Seung Joon Oh, Jeong Taek Woo, Sung Woon Kim, Jin Woo Kim, Young Seol Kim, Sun Hee Kwon
Korean Diabetes J. 2004;28(6):490-500.   Published online December 1, 2004
  • 1,053 View
  • 16 Download
AbstractAbstract PDF
BACKGROUND
High glucose-induced apoptosis has been implicated in the loss of beta-cells of the pancreatic islets in animal models of type 2 diabetes. GLP-1 has been shown to reduce apoptosis by the cAMP-dependent mechanism in beta-cells. Other studies have also shown that elevated levels of intracellular cyclic AMP delayed apoptosis in other types of cells. We investigated whether cAMP-elevating agents could suppress the high glucose-induced apoptosis of isolated rat islets. METHODS: Pancreatic islets were isolated from Sprague-Dawley (SD) rats. The expression of phosphodiesterase (PDE) 3 subtypes was investigated by using extracts of freshly isolated islets and analyzing them by RT-PCR. After 2 days of isolation, the islets were cultured in RPMI-1640 media containing 5% FBS with various glucose concentrations (11.1, 16.7 and 27.8 mM), 5x10-6 M forskolin, 2x10-4 M 3-isobutyl-1-methylxanthine (IBMX), 10-5 M cilostazol, and 10-6, 5x10-6 and 10-5 M H-89 for 5 days. The islet apoptosis was measured by a sandwich enzyme-immunoassay using antihistone antibody. RESULTS: Apoptosis was lowest at 11.1 mM glucose concentration, and increased at higher glucose concentrations (1.00 +/- 0.04 A.U. (arbitrary unit) at 11.1 mM, 1.17 +/- 0.12 A.U. at 16.7 mM, and 1.65 +/-0.13 A.U. at 27.8 mM (P <0.05 for 11.1 mM). Both PDE 3A and 3B mRNA were expressed in the islet extracts. In 16.7 and 27.8 mM glucose concentrations, forskolin (P <0.01), IBMX (P <0.05) and cilostazol (P < 0.05) suppressed apoptosis of the islet cells. Protein kinase A (PKA) nhibitor, H-89, did not prevent the inhibition of apoptosis by forskolin. CONCLUSION: These results show that high glucose-induced apoptosis of the cells in rat islet is attenuated by such cAMP-elevating agents as cilostazol. However, cyclic AMP regulation of islet apoptosis may occur via a PKA-independent signaling pathway.
Homeostasis Model Assessment In Korean Type 2 Diabetes Patients.
Hyun Ha Chang, Jin Woo Kim, Mee Suk Rhu, Cheol Young Park, Seung Joon Oh, Jeong Taek Woo, Sung Woon Kim, Young Seol Kim, Young Kil Choi
Korean Diabetes J. 2002;26(4):296-305.   Published online August 1, 2002
  • 968 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
Both insulin resistance and decreased insulin secretion have been known to be defects causing type 2 diabetes. However, decreased insulin secretion rather than insulin resistance has been suggested to be a more important factor in development of type 2 diabetes in Korea. Thus, we undertook this study to evaluate insulin resistance and beta cell function in Korean type 2 diabetes patients. METHODS: Retrospectively, we applied HOMA model to 1,233 type 2 diabetes pateints (575 males and 658 females) and assessed HOMA(beta cell) function and HOMA(IR). RESULTS: The HOMA(IR) of Korean male was 2.6 (0.05~39.53) and that of Korean female was 3.1 (0.04~53.54), and the HOMA(beta cell) of male was 22.3 (0.2~873.8)%, and that of female was 30.6 (0.37~1738.3)%. There was no significant difference. There was no significant correlation between HOMA(IR) and age and duration of diabetes, but there was significant correlation between HOMA(beta cell) and BMI, 0 min, 30 min insulin level and 0 min C-peptide level in oGTT. In the group of high HOMA(IR) than lower HOMA(IR), HOMA(beta cell) have more strong correlation with age at dignosis, BMI, duration of diabetes, FBS, 0 min and 60 min insulin, 0 min C-peptide and 24 hour urine C-peptide. CONCLUSION: In comparison with HOMA Model of San Antonio Heart Study, the HOMA(beta cell) and HOMA(IR) of Korean were lower, so the HOMA(beta cell) and HOMA(IR) may be different between ethnic groups. And further prospective analysis for the evaluation of insulin resistance and insulin secretion defect with HOMA model should be done in Korean type 2 diabeties.
Gastric Dysfunction Assessed by Electrogastrography and the Acetaminophen Absorption Technique in Patients with Diabetic Neuropathy.
Hyun Ha Chang, Young Seol Kim, Sang Hwa Kim, Cheol Young Park, Seung Joon Oh, Jeong Taek Woo, In Myung Yang, Sung Woon Kim, Jin Woo Kim, Young Kil Choi
Korean Diabetes J. 2001;25(1):83-92.   Published online February 1, 2001
  • 1,005 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
In patients with diabetes mellitus, dysrhythmias of gastric myoelectrical activity are frequently associated with gastroparesis. Thus, we investigated the relationships between abnormal gastric myoelectrical activity and gastric emptying rate in patients with diabetes mellitus. METHODS: Using surface electrogastrography (Nippro, Tokyo, Japan) and acetaminophen absorption technique, we studied EGG and gastric emptying rate in 39 patients with diabetic neuropathy and 15 healthy volunteers as the control group. RESULTS: In two thirds of the patients with diabetes mellitus, fasting electrogastrography revealed instability of electrical control activity (ECA), as compared to 13% of the control. Postprandial amplitude and frequency increases in electrogastrography were observed in the control group. However, these postprandial responses were obtunded in patients with diabetes mellitus. In the assessment of gastric emptying rate, increases of plasma acetaminophen levels were delayed in obtunded postprandial responses of gastric myoelectrical activity. CONCLUSION: These results showed that the abnormal electrogastrography patterns were related to abnormal finding assessed acetaminophen absorption technique. Electrogastrography was thought to be a useful and non-invasive technique in assessing diabetic gastroparesis.
Free Testosterone and Sex Hormone-Binding Globulin Level in Type 2 Diabetic Men.
Ki Deuk Nam, Young Seol Kim, Cheol Young Park, Seung Joon Oh, Deog Yoon Kim, Jeong Taek Woo, Sung Woon Kim, In Myung Yang, Jin Woo Kim, Young Kil Choi
Korean Diabetes J. 2000;24(6):699-707.   Published online January 1, 2001
  • 1,161 View
  • 17 Download
AbstractAbstract PDF
BACKGROUND
Insulin resistance is a risk factor for cardiovascular disease and type 2 diabetes mellitus. There are many previous studies indicating that insulin lowers serum sex hormone-binding globulin levels, and there is inverse correlation between insulin resistance and serum sex hormone-binding globulin levels in women. However, in men, a limited number of studies are available to explain the effect of sex hormone on age and insulin. Therefore, the present study was undertaken to investigate the relationship among free testosterone, hormone- binding globulin and age in type 2 diabetic men and control subjects. METHOD: Age, body mass index, total cholesterol, triglyceride, fasting blood sugar, and insulin concentrations were examined on 89 type 2 diabetic men and 47 control subjects. The free testosterone level was measured by commercially available double-antibody system (Radioimmunoassay). The sex hormone-binding globulin level was also measured by commercially available double-antibody system(Immunoradiometric assay). RESULTS: 1) Sex hormone-binding globulin level was significantly increased in patients with type 2 diabetes. However, there was no significant difference in free testosterone level between the two groups. 2) Sex hormone-binding globulin was positively correlated with age (r=0.4, p<0.001) in patients with type 2 diabetes. Sex hormone-binding globulin and free testos terone were not correlated with age in control sujects. 3) Free testosterone and sex hormone-binding globulin concentrations were not significantly related to serum insulin concentration after adjusting for age and body mass index. CONCLUSIONS: We observed increased sex hormone-binding globulin concentration in diabetes man, and was a positively related to age. Further studies are needed to understand the relationships between age, insulin resistance, testosterone, and sex hormone-binding globulin concentrations.

Diabetes Metab J : Diabetes & Metabolism Journal