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Complications
Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function
Da Hea Seo, So Hun Kim, Joon Ho Song, Seongbin Hong, Young Ju Suh, Seong Hee Ahn, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim, Moonsuk Nam
Diabetes Metab J. 2019;43(6):840-853.   Published online March 12, 2019
DOI: https://doi.org/10.4093/dmj.2018.0186
  • 5,530 View
  • 57 Download
  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Recent evidences indicate that early rapid renal function decline is closely associated with the development and progression of diabetic kidney disease. We have investigated the association between carotid atherosclerosis and rapid renal function decline in patients with type 2 diabetes mellitus and preserved renal function.

Methods

In a prospective, multicenter cohort, a total of 967 patients with type 2 diabetes mellitus and preserved renal function were followed for 6 years with serial estimated glomerular filtration rate (eGFR) measurements. Common carotid intima-media thickness (CIMT) and presence of carotid plaque were assessed at baseline. Rapid renal function decline was defined as an eGFR decline >3.3% per year.

Results

Over a median follow-up of 6 years, 158 participants (16.3%) developed rapid renal function decline. While there was no difference in CIMT, the presence of carotid plaque in rapid decliners was significantly higher than in non-decliners (23.2% vs. 12.2%, P<0.001). In multivariable logistic regression analysis, presence of carotid plaque was an independent predictor of rapid renal function decline (odds ratio, 2.33; 95% confidence interval, 1.48 to 3.68; P<0.0001) after adjustment for established risk factors. The model including the carotid plaque had better performance for discrimination of rapid renal function decline than the model without carotid plaque (area under the receiver operating characteristic curve 0.772 vs. 0.744, P=0.016).

Conclusion

Close monitoring of renal function and early intensive management may be beneficial in patients with type 2 diabetes mellitus and carotid plaques.

Citations

Citations to this article as recorded by  
  • Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
    Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Correlation analysis of carotid plaque in young patients with newly diagnosed type 2 diabetes and platelet-to-lymphocyte ratio and neutrophil–lymphocyte ratio
    Huijun Wen, Hai Yu
    Vascular.2023; 31(1): 90.     CrossRef
  • Diabetic vascular diseases: molecular mechanisms and therapeutic strategies
    Yiwen Li, Yanfei Liu, Shiwei Liu, Mengqi Gao, Wenting Wang, Keji Chen, Luqi Huang, Yue Liu
    Signal Transduction and Targeted Therapy.2023;[Epub]     CrossRef
  • Carotid intima-media thickness and atherosclerotic plaques are associated with renal function decline: a 14-year longitudinal population-based study
    Miriam Goepfert, Till Ittermann, Marcus Dörr, Nele Friedrich, Henry Völzke, Thomas Dabers, Stephan B Felix, Ulf Schminke, Sylvia Stracke, Sabrina von Rheinbaben
    Nephrology Dialysis Transplantation.2023; 38(11): 2598.     CrossRef
  • Blood pressure and vascular determinants of glomerular filtration rate decline in diabetic kidney disease
    Luca Truscello, Dina Nobre, Vehashini Sabaratnam, Olivier Bonny, Grégoire Wuerzner, Michel Burnier, Fadi Fakhouri, Menno Pruijm, Anne Zanchi
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics
    Fatma Hilal Yagin, Seyma Yasar, Yasin Gormez, Burak Yagin, Abdulvahap Pinar, Abedalrhman Alkhateeb, Luca Paolo Ardigò
    Metabolites.2023; 13(12): 1204.     CrossRef
  • Evaluation of Subclinical Vascular Disease in Diabetic Kidney Disease: A Tool for Personalization of Management of a High-Risk Population
    Christodoula Kourtidou, Vasileios Rafailidis, Garyfallia Varouktsi, Efthimios Kanakis, Vassilios Liakopoulos, Timoleon-Achilleas Vyzantiadis, Maria Stangou, Smaragdi Marinaki, Konstantinos Tziomalos
    Journal of Personalized Medicine.2022; 12(7): 1139.     CrossRef
  • Prevalence and Predictors of Renal Disease in a National Representative Sample of the Romanian Adult Population: Data from the SEPHAR IV Survey
    Călin Pop, Oana Florentina Gheorghe Fronea, Ioana Antonia Branea, Lucian Mihai Itu, Roxana Darabont, Irinel Parepa, Theodora Benedek, Maria Dorobantu
    Diagnostics.2022; 12(12): 3199.     CrossRef
  • Clinical features of and risk factors for normoalbuminuric diabetic kidney disease in hospitalized patients with type 2 diabetes mellitus: a retrospective cross-sectional study
    Qi Dai, Nan Chen, Ling Zeng, Xin-Jie Lin, Feng-Xiu Jiang, Xiong-Jie Zhuang, Ze-Yuan Lu
    BMC Endocrine Disorders.2021;[Epub]     CrossRef
  • The Predictive Value of Carotid Ultrasonography With Cardiovascular Risk Factors—A “SPIDER” Promoting Atherosclerosis
    Hongwei Li, Xiaolin Xu, Baoming Luo, Yuling Zhang
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Update on pathogenesis and diagnosis flow of normoalbuminuric diabetes with renal insufficiency
    Le Deng, Wenjie Li, Gaosi Xu
    European Journal of Medical Research.2021;[Epub]     CrossRef
  • Association of serum fibroblast growth factor 21 with kidney function in a population-based Chinese cohort
    Rui Zhang, Yufeng Li, Xianghai Zhou, Fang Zhang, Meng Li, Simin Zhang, Xiuying Zhang, Xin Wen, Linong Ji
    Medicine.2021; 100(50): e28238.     CrossRef
  • Letter: Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function (Diabetes Metab J 2019;43:840–53)
    Min-Ji Kim, Jae-Han Jeon
    Diabetes & Metabolism Journal.2020; 44(1): 201.     CrossRef
  • Response: Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function (Diabetes Metab J 2019;43:840–53)
    Da Hea Seo, So Hun Kim, Moonsuk Nam
    Diabetes & Metabolism Journal.2020; 44(1): 205.     CrossRef
  • Serum Levels of Adipocyte Fatty Acid-Binding Protein Are Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Preserved Renal Function
    Da Hea Seo, Moonsuk Nam, Mihye Jung, Young Ju Suh, Seong Hee Ahn, Seongbin Hong, So Hun Kim
    Diabetes & Metabolism Journal.2020; 44(6): 875.     CrossRef
  • Proteinuria Is Associated with Carotid Artery Atherosclerosis in Non-Albuminuric Type 2 Diabetes: A Cross-Sectional Study
    Jaehyun Bae, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Journal of Clinical Medicine.2020; 9(1): 136.     CrossRef
Clinical Diabetes and Therapeutics
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 Metab J. 2019;43(1):49-58.   Published online November 2, 2018
DOI: https://doi.org/10.4093/dmj.2018.0033
  • 5,310 View
  • 131 Download
  • 10 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   
Background

The prevalence of diabetes mellitus (DM) continues to increase, and the disease burden is the highest of any medical condition in Korea. However, large-scale clinical studies have not yet conducted to establish the basis for diabetes prevention in Korea.

Methods

The hospital-based Korean Diabetes Prevention Study (H-KDPS) is a prospective, multi-center, randomized, open-label controlled study conducted at university hospitals for the purpose of gathering data to help in efforts to prevent type 2 DM. Ten university hospitals are participating, and 744 subjects will be recruited. The subjects are randomly assigned to the standard care group, lifestyle modification group, or metformin group, and their clinical course will be observed for 36 months.

Results

All intervention methodologies were developed, validated, and approved by Korean Diabetes Association (KDA) multi-disciplinary team members. The standard control group will engage in individual education based on the current KDA guidelines, and the lifestyle modification group will participate in a professionally guided healthcare intervention aiming for ≥5% weight loss. The metformin group will begin dosing at 250 mg/day, increasing to a maximum of 1,000 mg/day. The primary endpoint of this study is the cumulative incidence of DM during the 3 years after randomization.

Conclusion

The H-KDPS study is the first large-scale clinical study to establish evidence-based interventions for the prevention of type 2 DM in Koreans. The evidence gathered by this study will be useful for enhancing the health of Koreans and improving the stability of the Korean healthcare system (Trial registration: CRIS KCT0002260, NCT02981121).

Citations

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  • Estimating insulin sensitivity and β-cell function from the oral glucose tolerance test: validation of a new insulin sensitivity and secretion (ISS) model
    Joon Ha, Stephanie T. Chung, Max Springer, Joon Young Kim, Phil Chen, Aaryan Chhabra, Melanie G. Cree, Cecilia Diniz Behn, Anne E. Sumner, Silva A. Arslanian, Arthur S. Sherman
    American Journal of Physiology-Endocrinology and Metabolism.2024; 326(4): E454.     CrossRef
  • Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
    Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
    Journal of Health Informatics and Statistics.2023; 48(1): 36.     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
  • Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea
    Jin-Hee Lee, Suk Chon, Seon-Ah Cha, Sun-Young Lim, Kook-Rye Kim, Jae-Seung Yun, Sang Youl Rhee, Kun-Ho Yoon, Yu-Bae Ahn, Jeong-Taek Woo, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 382.     CrossRef
  • Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort
    Sang Youl Rhee, Ji Min Sung, Sunhee Kim, In-Jeong Cho, Sang-Eun Lee, Hyuk-Jae Chang
    Diabetes & Metabolism Journal.2021; 45(4): 515.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
    Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2021; 45(6): 960.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2021; 22(4): 244.     CrossRef
  • Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
    Seon‐Ah Cha, Suk Chon, Jae‐Seung Yun, Sang Youl Rhee, Sun‐Young Lim, Kun‐Ho Yoon, Yu‐Bae Ahn, Seung‐Hyun Ko, Jeong‐Taek Woo, Jin‐Hee Lee
    Diabetes/Metabolism Research and Reviews.2020;[Epub]     CrossRef
  • How was the Diabetes Metabolism Journal added to MEDLINE?
    Hye Jin Yoo
    Science Editing.2020; 7(2): 201.     CrossRef
  • Commercial Postural Devices: A Review
    Nicole Kah Mun Yoong, Jordan Perring, Ralph Jasper Mobbs
    Sensors.2019; 19(23): 5128.     CrossRef
  • Changes in Metabolic Profile Over Time: Impact on the Risk of Diabetes
    Yunjung Cho, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2019; 43(4): 407.     CrossRef
  • Metformin for prevention or delay of type 2 diabetes mellitus and its associated complications in persons at increased risk for the development of type 2 diabetes mellitus
    Kasper S Madsen, Yuan Chi, Maria-Inti Metzendorf, Bernd Richter, Bianca Hemmingsen
    Cochrane Database of Systematic Reviews.2019;[Epub]     CrossRef
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
  • 4,811 View
  • 52 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.

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  • 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
Clinical Care/Education
Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus
So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim
Diabetes Metab J. 2018;42(5):380-393.   Published online June 29, 2018
DOI: https://doi.org/10.4093/dmj.2017.0102
  • 4,832 View
  • 67 Download
  • 11 Web of Science
  • 14 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The aim of the study was to assess the impact of socioeconomic status (SES) on health behaviors, metabolic control, and chronic complications in people with type 2 diabetes mellitus (T2DM) from South Korea, a country with universal health insurance coverage and that has experienced rapid economic and social transition.

Methods

A total of 3,294 Korean men and women with T2DM aged 30 to 65 years, participating in the Korean National Diabetes Program (KNDP) cohort who reported their SES and had baseline clinical evaluation were included in the current cross-sectional analysis. SES included the level of education and monthly household income.

Results

Lower education level and lower income level were closely related, and both were associated with older age in men and women. Women and men with lower income and education level had higher carbohydrate and lower fat intake. After adjustment for possible confounding factors, higher education in men significantly lowered the odds of having uncontrolled hyperglycemia (glycosylated hemoglobin ≥7.5%) (odds ratio [OR], 0.63; 95% confidence interval [CI], 0.43 to 0.91 for highest education; Ptrend=0.048), while higher household income in men significantly lowered the odds of having diabetic retinopathy (OR, 0.59; 95% CI, 0.37 to 0.95 for highest income level; Ptrend=0.048). In women, lower income was associated with a higher stress level.

Conclusion

Men with lower SES had higher odds of having diabetic retinopathy and uncontrolled hyperglycemia, showing the need to improve care targeted to this population.

Citations

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  • A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus
    Laleh Gharacheh, Mostafa Amini-Rarani, Amin Torabipour, Saeed Karimi
    International Journal of Preventive Medicine.2024;[Epub]     CrossRef
  • Socioeconomic status and the effect of prolonged pandemic confinement on anthropometric and glycaemic outcomes in adults with type 2 diabetes mellitus
    Chandana Wijeweera, Ummul Muhfaza, Reginald V. Lord, Peter Petocz, Juliana Chen, Veronica Preda
    Primary Care Diabetes.2024;[Epub]     CrossRef
  • Association of diet quality with glycemia, insulinemia, and insulin resistance in families at high risk for type 2 diabetes mellitus in Europe: Feel4 Diabetes Study
    Botsi E, Karatzi K, Mavrogianni C, Kaloyan Tsochev, Esther M González-Gil, Radó S, Kivelä J, Wikström K, Cardon G, Rurik I, Liatis S, Tsvetalina Tankova, Violeta Iotova, Luis A. Moreno, Makrillakis K, Manios Y, Tsigos C
    Nutrition.2023; 105: 111805.     CrossRef
  • Sustained Low Income, Income Changes, and Risk of All-Cause Mortality in Individuals With Type 2 Diabetes: A Nationwide Population-Based Cohort Study
    Hong Seok Lee, Jimin Clara Park, Inkwan Chung, Junxiu Liu, Seong-Su Lee, Kyungdo Han
    Diabetes Care.2023; 46(1): 92.     CrossRef
  • Association of birth weight with risk of diabetes mellitus in adolescence and early adulthood: analysis of the Indonesian Family Life Survey
    Ratu Ayu Dewi Sartika, Fathimah Sulistyowati Sigit, Edy Purwanto, Norliyana Aris, Avliya Quratul Marjan, Wahyu Kurnia Yusrin Putra, Sutanto Priyo Hastono
    Annals of Pediatric Endocrinology & Metabolism.2023; 28(4): 267.     CrossRef
  • Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey
    Chang Kyun Choi, Jungho Yang, Ji-An Jeong, Min-Ho Shin
    International Journal of Environmental Research and Public Health.2022; 19(23): 15781.     CrossRef
  • FOLLOW-UP ADHERENCE IN PATIENTS WITH NONPROLIFERATIVE DIABETIC RETINOPATHY PRESENTING TO AN OPHTHALMIC EMERGENCY DEPARTMENT
    Arjun Watane, Meghana Kalavar, Elizabeth A. Vanner, Kara Cavuoto, Jayanth Sridhar
    Retina.2021; 41(6): 1293.     CrossRef
  • Socioeconomic disparity in global vision loss burden due to diabetic retinopathy: an analysis on time trends from 1990 to 2017
    Yi Shan, Yufeng Xu, Lingxia Ye, Xiling Lin, Yaoyao Chen, Qi Miao, Juan Ye
    Endocrine.2021; 73(2): 316.     CrossRef
  • Tip 2 Diyabetli Bireylerin Hastalık Yönetiminde Karşılaştıkları Engellerin Değerlendirilmesi
    Şuheda ÜSTÜNDAĞ, Nuray DAYAPOĞLU
    Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi.2021; 5(3): 514.     CrossRef
  • Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners
    Batoul Safieddine, Stefanie Sperlich, Johannes Beller, Karin Lange, Jelena Epping, Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer
    SSM - Population Health.2020; 11: 100596.     CrossRef
  • Thirteen-year trends in the prevalence of diabetes according to socioeconomic condition and cardiovascular risk factors in a Swiss population
    Carlos de Mestral, Silvia Stringhini, Idris Guessous, François R Jornayvaz
    BMJ Open Diabetes Research & Care.2020; 8(1): e001273.     CrossRef
  • Dietary Habits and Dietary Antioxidant Intake Are Related to Socioeconomic Status in Polish Adults: A Nationwide Study
    Małgorzata Elżbieta Zujko, Anna Waśkiewicz, Wojciech Drygas, Alicja Cicha-Mikołajczyk, Kinga Zujko, Danuta Szcześniewska, Krystyna Kozakiewicz, Anna Maria Witkowska
    Nutrients.2020; 12(2): 518.     CrossRef
  • Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
    Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
    Diabetes & Metabolism Journal.2019; 43(4): 487.     CrossRef
  • Gender in Endocrine Diseases: Role of Sex Gonadal Hormones
    R. Lauretta, M. Sansone, A. Sansone, F. Romanelli, M. Appetecchia
    International Journal of Endocrinology.2018; 2018: 1.     CrossRef
Obesity and Metabolic Syndrome
Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis
Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong-taek Woo, Sang Youl Rhee
Diabetes Metab J. 2018;42(4):320-329.   Published online April 24, 2018
DOI: https://doi.org/10.4093/dmj.2017.0104
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AbstractAbstract PDFPubReader   
Background

Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

Methods

Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

Results

Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m2 in average (95% confidence interval, −2.26 to −2.04). From a multilevel model, PM10 (β=0.04, P=0.002) and PM2.5 (β=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (βAQI*time=1.5×10–5; P<0.001) by mixed effects model.

Conclusion

This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Citations

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  • What could be the reasons for not losing weight even after following a weight loss program?
    Jyoti Dabas, S. Shunmukha Priya, Akshay Alawani, Praveen Budhrani
    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
  • Subchronic exposure to 1,2-naphthoquinone induces adipose tissue inflammation and changes the energy homeostasis of mice, partially due to TNFR1 and TLR4
    Clílton Kraüss de Oliveira Ferreira, Clara Machado Campolim, Olívia Pizetta Zordão, Fernando Moreira Simabuco, Chadi Pellegrini Anaruma, Rodrigo Martins Pereira, Vitor Ferreira Boico, Luiz Guilherme Salvino, Maíra Maftoum Costa, Nathalia Quintero Ruiz, Le
    Toxicology Reports.2023; 11: 10.     CrossRef
  • Effects of Ambient Particulate Matter (PM2.5) Exposure on Calorie Intake and Appetite of Outdoor Workers
    Thavin Kumar Mathana Sundram, Eugenie Sin Sing Tan, Hwee San Lim, Farahnaz Amini, Normina Ahmad Bustami, Pui Yee Tan, Navedur Rehman, Yu Bin Ho, Chung Keat Tan
    Nutrients.2022; 14(22): 4858.     CrossRef
  • Efficiency in reducing air pollutants and healthcare expenditure in the Seoul Metropolitan City of South Korea
    Subal C. Kumbhakar, Jiyeon An, Masoomeh Rashidghalam, Almas Heshmati
    Environmental Science and Pollution Research.2021; 28(20): 25442.     CrossRef
  • Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study
    Ying Teng, Shun-Wei Huang, Zhen Li, Qiao-Mei Xie, Man Zhang, Qiu-Yue Lou, Fang Wang, Yan-Feng Zou
    Obesity Research & Clinical Practice.2020; 14(3): 225.     CrossRef
  • Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea
    Daeun Kim, Jeongyeong Kim, Jaehwan Jeong, Minha Choi
    Environmental Research.2019; 173: 452.     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
  • Can Air Pollution Biologically Hinder Efforts to Lose Body Weight?
    Duk-Hee Lee
    Diabetes & Metabolism Journal.2018; 42(4): 282.     CrossRef
Response
Response: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
Sang Youl Rhee, Jeong-Taek Woo
Diabetes Metab J. 2017;41(6):494-495.   Published online December 19, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.6.494
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PDFPubReader   
Original Articles
Clinical Diabetes & Therapeutics
Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
Diabetes Metab J. 2017;41(5):377-385.   Published online October 24, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.5.377
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AbstractAbstract PDFPubReader   
Background

The aim of this multicenter, randomized, double-blind study was to examine the effect of lobeglitazone, a novel thiazolidinedione, on the changes in bone mineral density (BMD) in patients with type 2 diabetes mellitus.

Methods

A 24-week, double-blinded phase was followed by a 28-week, open-label phase, in which the placebo group also started to receive lobeglitazone. A total of 170 patients aged 34 to 76 years were randomly assigned in a 2:1 ratio to receive lobeglitazone 0.5 mg or a matching placebo orally, once daily. BMD was assessed using dual-energy X-ray absorptiometry at week 24 and at the end of the study (week 52).

Results

During the double-blinded phase, the femur neck BMD showed decreasing patterns in both groups, without statistical significance (−0.85%±0.36% and −0.78%±0.46% in the lobeglitazone and placebo groups, respectively). The treatment difference between the groups was 0.07%, which was also not statistically significant. Further, minimal, nonsignificant decreases were observed in both groups in the total hip BMD compared to values at baseline, and these differences also did not significantly differ between the groups. During the open-label phase, the BMD was further decreased, but not significantly, by −0.32% at the femur neck and by −0.60% at the total hip in the lobeglitazone group, and these changes did not significantly differ compared with the original placebo group switched to lobeglitazone.

Conclusion

Our results indicate that treatment with lobeglitazone 0.5 mg over 52 weeks showed no detrimental effect on the BMD compared to the placebo.

Citations

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  • Efficacy and safety of novel thiazolidinedione lobeglitazone for managing type-2 diabetes a meta-analysis
    Deep Dutta, Saptarshi Bhattacharya, Manoj Kumar, Priyankar K. Datta, Ritin Mohindra, Meha Sharma
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102697.     CrossRef
  • Efficacy and safety of lobeglitazone, a new Thiazolidinedione, as compared to the standard of care in type 2 diabetes mellitus: A systematic review and meta-analysis
    Shashank R. Joshi, Saibal Das, Suja Xaviar, Shambo Samrat Samajdar, Indranil Saha, Sougata Sarkar, Shatavisa Mukherjee, Santanu Kumar Tripathi, Jyotirmoy Pal, Nandini Chatterjee
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102703.     CrossRef
  • The benefits of adipocyte metabolism in bone health and regeneration
    Lisa-Marie Burkhardt, Christian H. Bucher, Julia Löffler, Charlotte Rinne, Georg N. Duda, Sven Geissler, Tim J. Schulz, Katharina Schmidt-Bleek
    Frontiers in Cell and Developmental Biology.2023;[Epub]     CrossRef
  • Will lobeglitazone rival pioglitazone? A systematic review and critical appraisal
    Kalyan Kumar Gangopadhyay, Awadhesh Kumar Singh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(4): 102747.     CrossRef
  • Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study
    Jun Hwa Hong, Jun Sung Moon, Kayeon Seong, Soo Lim
    Diabetes Research and Clinical Practice.2023; 203: 110872.     CrossRef
  • Bone Mineral Density Evaluation Among Type 2 Diabetic Patients in Rural Haryana, India: An Analytical Cross-Sectional Study
    Nitish Khandelwal, Surbhi Rajauria, Siddhesh Pandurang Kanjalkar, Omkar Shivaji Chavanke, Sanjay Rai
    Cureus.2023;[Epub]     CrossRef
  • Lobeglitazone and Its Therapeutic Benefits: A Review
    Balamurugan M, Sarumathy S, Robinson R
    Cureus.2023;[Epub]     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • A Real-World Study of Long-Term Safety and Efficacy of Lobeglitazone in Korean Patients with Type 2 Diabetes Mellitus
    Bo-Yeon Kim, Hyuk-Sang Kwon, Suk Kyeong Kim, Jung-Hyun Noh, Cheol-Young Park, Hyeong-Kyu Park, Kee-Ho Song, Jong Chul Won, Jae Myung Yu, Mi Young Lee, Jae Hyuk Lee, Soo Lim, Sung Wan Chun, In-Kyung Jeong, Choon Hee Chung, Seung Jin Han, Hee-Seok Kim, Ju-Y
    Diabetes & Metabolism Journal.2022; 46(6): 855.     CrossRef
  • Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes Therapy.2021; 12(1): 171.     CrossRef
  • Lobeglitazone: A Novel Thiazolidinedione for the Management of Type 2 Diabetes Mellitus
    Jaehyun Bae, Taegyun Park, Hyeyoung Kim, Minyoung Lee, Bong-Soo Cha
    Diabetes & Metabolism Journal.2021; 45(3): 326.     CrossRef
  • Effect of lobeglitazone on motor function in rat model of Parkinson’s disease with diabetes co-morbidity
    Kambiz Hassanzadeh, Arman Rahimmi, Mohammad Raman Moloudi, Rita Maccarone, Massimo Corbo, Esmael Izadpanah, Marco Feligioni
    Brain Research Bulletin.2021; 173: 184.     CrossRef
  • Recent Perspective on Thiazolidinedione
    Won Jun Kim
    The Journal of Korean Diabetes.2021; 22(2): 97.     CrossRef
  • Use of in vitro bone models to screen for altered bone metabolism, osteopathies, and fracture healing: challenges of complex models
    Sabrina Ehnert, Helen Rinderknecht, Romina H. Aspera-Werz, Victor Häussling, Andreas K. Nussler
    Archives of Toxicology.2020; 94(12): 3937.     CrossRef
  • Update on: effects of anti-diabetic drugs on bone metabolism
    Guillaume Mabilleau, Béatrice Bouvard
    Expert Review of Endocrinology & Metabolism.2020; 15(6): 415.     CrossRef
  • The use of metformin, insulin, sulphonylureas, and thiazolidinediones and the risk of fracture: Systematic review and meta‐analysis of observational studies
    Khemayanto Hidayat, Xuan Du, Meng‐Jiao Wu, Bi‐Min Shi
    Obesity Reviews.2019; 20(10): 1494.     CrossRef
  • Diabetes pharmacotherapy and effects on the musculoskeletal system
    Evangelia Kalaitzoglou, John L. Fowlkes, Iuliana Popescu, Kathryn M. Thrailkill
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
  • Morin Exerts Anti‐Arthritic Effects by Attenuating Synovial Angiogenesis via Activation of Peroxisome Proliferator Activated Receptor‐γ
    Mengfan Yue, Ni Zeng, Yufeng Xia, Zhifeng Wei, Yue Dai
    Molecular Nutrition & Food Research.2018;[Epub]     CrossRef
  • The effects of diabetes therapy on bone: A clinical perspective
    Karim G. Kheniser, Carmen M. Polanco Santos, Sangeeta R. Kashyap
    Journal of Diabetes and its Complications.2018; 32(7): 713.     CrossRef
  • Changes in the Bone Mineral Density of Femur Neck and Total Hip Over a 52-Week Treatment with Lobeglitazone
    Da Young Lee, Ji A Seo
    Diabetes & Metabolism Journal.2017; 41(5): 374.     CrossRef
Complications
Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data
Sejeong Park, Sang Youl Rhee, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo
Diabetes Metab J. 2017;41(5):393-404.   Published online September 5, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.5.393
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AbstractAbstract PDFPubReader   
Background

This is part of a prospective study carried out as a national project to secure standardized public resources for type 2 diabetes mellitus (T2DM) patients in Korea. We compared various characteristics of long-standing T2DM patients with diabetic retinopathy (DR) and macular edema (ME).

Methods

From September 2014 to July 2015, T2DM patients with disease duration of at least 15 years were recruited at a single university hospital. Clinical data and samples were collected according to the common data elements and standards of procedure developed by the Korean Diabetes Association Research Council. Each participant was assessed by ophthalmologists for DR and ME.

Results

Among 220 registered patients, 183 completed the ophthalmologic assessment. DR was associated with longer disease duration (odds ratio [OR], 1.071; 95% confidence interval [CI], 1.001 to 1.147 for non-proliferative diabetic retinopathy [NPDR]) (OR, 1.142; 95% CI, 1.051 to 1.242 for proliferative diabetic retinopathy [PDR]) and the use of long-acting insulin (OR, 4.559; 95% CI, 1.672 to 12.427 for NPDR) (OR, 4.783; 95% CI, 1.581 to 14.474 for PDR), but a lower prevalence of a family history of cancer (OR, 0.310; 95% CI, 0.119 to 0.809 for NPDR) (OR, 0.206; 95% CI, 0.063 to 0.673 for PDR). ME was associated with higher glycosylated hemoglobin levels (OR, 1.380; 95% CI, 1.032 to 1.845) and the use of rapid-acting insulin (OR, 5.211; 95% CI, 1.445 to 18.794).

Conclusion

Various clinical features were associated with DR and ME. Additional epidemiological and biorepository-based studies using this cohort are being conducted to deepen our understanding of diabetic complications in Korea.

Citations

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  • Diabetic retinopathy related homeostatic dysregulation and its association with mortality among diabetes patients: A cohort study from NHANES
    Wenxiang Li, Zhaoguang Lai, Ningning Tang, Fen Tang, Guangyi Huang, Peng Lu, Li Jiang, Daizai Lei, Fan Xu
    Diabetes Research and Clinical Practice.2024; 207: 111081.     CrossRef
  • Study on the Interaction Between C3 Gene Polymorphism and Environment in Patients with Type 2 Diabetes Combined with Coronary Artery Disease
    Haitang Qiu, Shajidan Abudureyimu, Mengjia Liu, Fen Liu, Ying Gao
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 1467.     CrossRef
  • Cluster analysis of patient characteristics, treatment modalities, renal impairments, and inflammatory markers in diabetes mellitus
    Milena Cojic, Aleksandra Klisic, Amina Sahmanovic, Nemanja Petrovic, Gordana Kocic
    Scientific Reports.2024;[Epub]     CrossRef
  • Amino acid analysis as a method of discovering biomarkers for diagnosis of diabetes and its complications
    Dan Cai, Biao Hou, Song Lin Xie
    Amino Acids.2023; 55(5): 563.     CrossRef
  • The correlation between peripheral complete blood count parameters and diabetic macular edema in proliferative diabetic retinopathy patients: a cross-sectional study
    Chunyan Lei, Jinyue Gu, Lili Liu, Keren Zhang, Meixia Zhang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The association between different hypoglycemic regimens and postoperative diabetic macular edema after vitrectomy in the Japanese patients with proliferative diabetic retinopathy
    Chunyan Lei, Yun Zhang, Meixia Zhang
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema
    Sang Youl Rhee, Eun Sung Jung, Dong Ho Suh, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee
    Scientific Reports.2021;[Epub]     CrossRef
  • SYSTEMIC FACTORS AND EARLY TREATMENT RESPONSE TO INTRAVITREAL INJECTION FOR DIABETIC MACULAR EDEMA
    Hyeseong Hwang, Hwanho Lee, Jin Young Kim, Suhwan Lee, Eoi Jong Seo, Ju Byung Chae, Dong Yoon Kim
    Retina.2021; 41(6): 1275.     CrossRef
  • Relationship between Clinical Features of Diabetic Retinopathy and Systemic Factors in Patients with Newly Diagnosed Type II Diabetes Mellitus
    Hyeseong Hwang, Jin Young Kim, Tae Keun Oh, Ju Byung Chae, Dong Yoon Kim
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Clinical Characteristics and Prevalence of Comorbidities according to Metformin Use in Korean Patients with Type 2 Diabetes
    Sang Ouk Chin, In Gyoon Ha, Sang Youl Rhee, Su Jin Jeong, Suk Chon, Sung Hoon Kim, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Jeong Taek Woo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Letter: Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study (Diabetes Metab J 2019;43:640–8)
    Jun Sung Moon
    Diabetes & Metabolism Journal.2019; 43(6): 911.     CrossRef
  • Prevalence and epidemiological characteristics of patients with diabetic retinopathy in Slovakia: 12-month results from the DIARET SK study
    Marta Ondrejkova, Peter Jackuliak, Emil Martinka, Marian Mokan, James Foley, Jana Fabkova, Karol Gecik, Iveta Tvrda, Miroslav Helbich, Monika Gajdosova, Tomislav Bulum
    PLOS ONE.2019; 14(12): e0223788.     CrossRef
  • Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
    Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
    Diabetes & Metabolism Journal.2018; 42(2): 93.     CrossRef
  • Letter: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
    Jae-Seung Yun
    Diabetes & Metabolism Journal.2017; 41(6): 492.     CrossRef
  • Response: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
    Sang Youl Rhee, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(6): 494.     CrossRef
Others
Effects of Rebamipide on Gastrointestinal Symptoms in Patients with Type 2 Diabetes Mellitus
Sejeong Park, So Young Park, Yu Jin Kim, Soo Min Hong, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Sang Youl Rhee
Diabetes Metab J. 2016;40(3):240-247.   Published online April 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.240
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Gastrointestinal (GI) symptoms are common in patients with type 2 diabetes mellitus (T2DM). Rebamipide is an effective gastric cytoprotective agent, but there are few data on its usefulness in T2DM. The aim of this study is to evaluate the improvement of GI symptoms after rebamipide treatment in patients with T2DM.

Methods

Patients with T2DM and atypical GI symptoms were enrolled. They took rebamipide (100 mg thrice daily) for 12 weeks and filled out the diabetes bowel symptom questionnaire (DBSQ) before and after rebamipide treatment. The DBSQ consisted of 10 questions assessing the severity of GI symptoms by a 1 to 6 scoring system. Changes in the DBSQ scores before and after rebamipide treatment were analyzed to evaluate any improvements of GI symptoms.

Results

A total of 107 patients were enrolled, and 84 patients completed the study. The mean age was 65.0±7.8, 26 patients were male (24.8%), the mean duration of T2DM was 14.71±9.12 years, and the mean glycosylated hemoglobin level was 6.97%±0.82%. The total DBSQ score was reduced significantly from 24.9±8.0 to 20.4±7.3 before and after rebamipide treatment (P<0.001). The DBSQ scores associated with reflux symptoms, indigestion, nausea or vomiting, abdominal bloating or distension, peptic ulcer, abdominal pain, and constipation were improved after rebamipide treatment (P<0.05). However, there were no significant changes in symptoms associated with irritable bowel syndrome, diarrhea, and anal incontinence. No severe adverse events were reported throughout the study.

Conclusion

Rebamipide treatment for 12 weeks improved atypical GI symptoms in patients with T2DM.

Citations

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  • Effectiveness of Rebamipide as a part of the Helicobacter pylori eradication therapy in Russia: a meta-analysis of controlled trials
    Dmitry N. Andreev, Igor V. Maev, Dmitry S. Bordin, Svetlana V. Lyamina, Diana T. Dicheva, Aleksei K. Fomenko, Armine S. Bagdasarian
    Consilium Medicum.2022; 24(5): 333.     CrossRef
  • Сompliance in patients with coronary heart disease and erosive-ulcerative gastroduodenopathy
    A. R. Molchanova, A. I. Dolgushina, A. A. Seljanina
    Experimental and Clinical Gastroenterology.2020; (6): 82.     CrossRef
  • Rebamipide: evidence base for use in gastroenterology
    D. N. Andreev, I. V. Maev
    Terapevticheskii arkhiv.2020; 92(12): 97.     CrossRef
  • Efficacy of Rebamipide in Organic and Functional Dyspepsia: A Systematic Review and Meta-Analysis
    Mohamed Hasif Jaafar, Sher Zaman Safi, Maw-Pin Tan, Sanjay Rampal, Sanjiv Mahadeva
    Digestive Diseases and Sciences.2018; 63(5): 1250.     CrossRef
  • Letter: Effects of Rebamipide on Gastrointestinal Symptoms in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2016;40:240-7)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2016; 40(4): 334.     CrossRef
  • Response: Effects of Rebamipide on Gastrointestinal Symptoms in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2016;40:240-7)
    Sejeong Park, So Young Park, Sang Youl Rhee
    Diabetes & Metabolism Journal.2016; 40(4): 336.     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
  • 9,834 View
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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

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  • Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    JMIR Formative Research.2024; 8: e56143.     CrossRef
  • Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
    Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1.     CrossRef
  • 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
Risk Factors for the Progression of Intima-Media Thickness of Carotid Arteries: A 2-Year Follow-Up Study in Patients with Newly Diagnosed Type 2 Diabetes
Sang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, Suk Chon, You-Cheol Hwang, Seungjoon Oh, Kyu Jeung Ahn, Ho Yeon Chung, Jeong-taek Woo, Sung-Woon Kim, Young Seol Kim, Ja-Heon Kang, In-Kyung Jeong
Diabetes Metab J. 2013;37(5):365-374.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.365
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AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Intima-media thickness (IMT) of the carotid arteries is known to have a positive correlation with the risk of cardiovascular disease. This study was designed to identify risk factors affecting the progression of carotid IMT in patients with type 2 diabetes mellitus (T2DM).

Methods

Patients with newly diagnosed T2DM with carotid IMT measurements were enrolled, and their clinical data and carotid IMT results at baseline and 2 years later were compared.

Results

Of the 171 patients, 67.2% of males and 50.8% of females had abnormal baseline IMT of the left common carotid artery. At baseline, systolic blood pressure, body mass index and smoking in male participants, and fasting plasma glucose and glycated hemoglobin levels in females were significantly higher in patients with abnormal IMT than in those with normal IMT. Low density lipoprotein cholesterol (LDL-C) levels in males and high density lipoprotein cholesterol (HDL-C) levels in females at the 2-year follow-up were significantly different between the nonprogression and the progression groups. Reduction of the United Kingdom Prospective Diabetes Study (UKPDS) 10-year coronary heart disease (CHD) risk score after 2 years was generally higher in the nonprogression group than the progression group.

Conclusion

LDL-C levels in males and HDL-C levels in females at the 2-year follow-up were significantly different between participants with and without progression of carotid IMT. Furthermore, a reduction in the UKPDS 10-year CHD risk score appeared to delay the advancement of atherosclerosis. Therefore, the importance of establishing the therapeutic goal of lipid profiles should be emphasized to prevent the progression of carotid IMT in newly diagnosed T2DM patients.

Citations

Citations to this article as recorded by  
  • Comparison of the Effectiveness of Low Carbohydrate Versus Low Fat Diets, in Type 2 Diabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Tanefa A. Apekey, Maria J. Maynard, Monia Kittana, Setor K. Kunutsor
    Nutrients.2022; 14(20): 4391.     CrossRef
  • Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease


    Rong Shi, Birong Wu, Zheyun Niu, Hui Sun, Fan Hu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 5025.     CrossRef
  • HMGA1 Mediated High-Glucose-Induced Vascular Smooth Muscle Cell Proliferation in Diabetes Mellitus: Association Between PI3K/Akt Signaling and HMGA1 Expression
    Qinghai Zhang, Ling Chen, Zhibo Zhao, Ying Wu, Jing Zhong, Gebo Wen, Renxian Cao, Xuyu Zu, Jianghua Liu
    DNA and Cell Biology.2018; 37(4): 389.     CrossRef
  • Relationship between frequency of hypoglycemic episodes and changes in carotid atherosclerosis in insulin-treated patients with type 2 diabetes mellitus
    Tomoya Mita, Naoto Katakami, Toshihiko Shiraiwa, Hidenori Yoshii, Nobuichi Kuribayashi, Takeshi Osonoi, Hideaki Kaneto, Keisuke Kosugi, Yutaka Umayahara, Masahiko Gosho, Iichiro Shimomura, Hirotaka Watada
    Scientific Reports.2017;[Epub]     CrossRef
  • Impact of carotid atherosclerosis detection on physician and patient behavior in the management of type 2 diabetes mellitus: a prospective, observational, multicenter study
    In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong Hwa Kim, Chul Sik Kim, Won-Young Lee, Kyu-Chang Won, Doo-Man Kim
    BMC Cardiovascular Disorders.2016;[Epub]     CrossRef
  • The effect of fibroblast growth factors and advanced glycation end-products on the intima-media complex thickness in patients with coronary heart disease and type 2 diabetes
    Ekaterina Vladimirovna Ivannikova, Victor Yurievich Kalashnikov, Olga Mikhailovna Smirnova, Alexander Borisovich Kuznetsov, Сергей Anatolievich Terekhin, Alexander Viktorovich Il'in
    Diabetes mellitus.2014; 17(2): 47.     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
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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
Prevalence of Chronic Complications in Korean Patients with Type 2 Diabetes Mellitus Based on the Korean National Diabetes Program
Sang Youl Rhee, Suk Chon, Mi Kwang Kwon, Ie Byung Park, Kyu Jeung Ahn, In Ju Kim, Sung-Hoon Kim, Hyoung Woo Lee, Kyung Soo Koh, Doo Man Kim, Sei Hyun Baik, Kwan Woo Lee, Moon Suk Nam, Yong Soo Park, Jeong-taek Woo, Young Seol Kim
Diabetes Metab J. 2011;35(5):504-512.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.504
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AbstractAbstract PDFPubReader   
Background

The Korean National Diabetes Program (KNDP) cohort study is performing an ongoing large-scale prospective multicenter investigation to discover the pathogenesis of type 2 diabetes in Korean patients. This study was performed to examine the prevalence of chronic complications in patients with type 2 diabetes among those registered in the KNDP cohort within the past 4 years.

Methods

This study was performed between June 2006 and September 2009 at 13 university hospitals and included 4,265 KNDP cohort participants. Among the participants, the crude prevalence of microvascular and macrovascular diseases of those checked for diabetes-related complications was determined, and the adjusted standard prevalence and standardization of the general population prevalence ratio (SPR) was estimated based on the 2005 Korean National Health and Nutrition Examination Survey (KNHANES) population demographics.

Results

Among the KNDP registrants, 43.2% had hypertension, 34.8% had dyslipidemia, 10.8% had macrovascular disease, and 16.7% had microvascular disease. The SPR of the KNDP registrants was significantly higher than that of the KNHANES subjects after adjusting for demographics in the KNHANES 2005 population. However, with the exception of cardiovascular disease in females, the standardized prevalence for the most complicated items in the survey was significantly higher than that in the KNHANES subjects.

Conclusion

The prevalence of macrovascular disease and peripheral vascular disease were significantly higher in Korean patients with type 2 diabetes than in the normal population. However, no significant difference was noted in the prevalence of cardiovascular disease in females.

Citations

Citations to this article as recorded by  
  • Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
    Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Clinical and economic impact of changing reimbursement criteria for statin treatment among patients with type 2 diabetes mellitus in South Korea
    Siin Kim, Kyungseon Choi, Ji-yool Kim, Hae Sun Suh
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • The Promising First Cohort Study in Korean Patients with Obesity and Overweight: Gangwon Obesity and Metabolic Syndrome Study
    Eun-Jung Rhee
    Journal of Obesity & Metabolic Syndrome.2022; 31(4): 285.     CrossRef
  • Impact of noncommunicable disease conditions and physical burden on intent to leave midwifery in Hungary
    Krisztina Éles Gebriné, Kinga Lampek, Péter Takács, Miklós Zrínyi, Attila Sárváry, Andrea Sárváry
    Kontakt.2021; 23(1): 45.     CrossRef
  • Dietary glutamic acid and aspartic acid as biomarkers for predicting diabetic retinopathy
    So Young Park, Jieun Kim, Jung Il Son, Sang Youl Rhee, Do-Yeon Kim, Suk Chon, Hyunjung Lim, Jeong-Taek Woo
    Scientific Reports.2021;[Epub]     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(4): 617.     CrossRef
  • Clinical Characteristics and Prevalence of Comorbidities according to Metformin Use in Korean Patients with Type 2 Diabetes
    Sang Ouk Chin, In Gyoon Ha, Sang Youl Rhee, Su Jin Jeong, Suk Chon, Sung Hoon Kim, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Jeong Taek Woo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Perioperative anesthetic management of patients with diabetes mellitus: focused on blood glucose control
    Hyungseok Seo
    Journal of the Korean Medical Association.2020; 63(9): 526.     CrossRef
  • Predicting Old-age Mortality Using Principal Component Analysis: Results from a National Panel Survey in Korea
    Jaeyong Shin, Kwang-Soo Lee, Jae-Hyun Kim
    Medicina.2020; 56(7): 360.     CrossRef
  • A relationship between endoscopic findings and diabetic regulation, and complications in patients with diabetes mellitus
    Sevki Konur
    Archives of Medical Science – Civilization Diseases.2020; 5(1): 53.     CrossRef
  • Randomized control trial comparing the effect of cilostazol and aspirin on changes in carotid intima-medial thickness
    Sangmo Hong, Munsuk Nam, Bertis B. Little, Seihyun Paik, Kwanwoo Lee, Jungtaek Woo, Dooman Kim, Jungoo Kang, Minyoung Chun, Yongsoo Park
    Heart and Vessels.2019; 34(11): 1758.     CrossRef
  • Genome‐wide association study identifies new susceptibility loci for diabetic nephropathy in Korean patients with type 2 diabetes mellitus
    Kyung H. Jeong, Jin S. Kim, Jeong‐Taek Woo, Sang Y. Rhee, Yu H. Lee, Yang G. Kim, Ju‐Young Moon, Su K. Kim, Sun W. Kang, Sang H. Lee, Yeong H. Kim
    Clinical Genetics.2019; 96(1): 35.     CrossRef
  • Presence of Carotid Plaque Is Associated with Rapid Renal Function Decline in Patients with Type 2 Diabetes Mellitus and Normal Renal Function
    Da Hea Seo, So Hun Kim, Joon Ho Song, Seongbin Hong, Young Ju Suh, Seong Hee Ahn, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim, Moonsuk Nam
    Diabetes & Metabolism Journal.2019; 43(6): 840.     CrossRef
  • The relationship between demographic and anthropometric characteristics and diabetic complications and number of hospitalizations in hospitalized diabetic patients
    Yusuf Kayar, Mehmet Agin
    Archives of Medical Science – Civilization Diseases.2019; 4(1): 7.     CrossRef
  • Importance of family history of diabetes in computing a diabetes risk score in Korean prediabetic population
    Morena Ustulin, Sang Youl Rhee, Suk Chon, Kyu Keung Ahn, Ji Eun Lim, Bermseok Oh, Sung-Hoon Kim, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Young Seol Kim, Jeong-Taek Woo
    Scientific Reports.2018;[Epub]     CrossRef
  • Characteristics of frequent emergency department users with type 2 diabetes mellitus in Korea
    Morena Ustulin, Junghoon Woo, Jeong‐taek Woo, Sang Youl Rhee
    Journal of Diabetes Investigation.2018; 9(2): 430.     CrossRef
  • Implementation of the Chronic Disease Care System and its association with health care costs and continuity of care in Korean adults with type 2 diabetes mellitus
    Woorim Kim, Yoon Soo Choy, Sang Ah Lee, Eun-Cheol Park
    BMC Health Services Research.2018;[Epub]     CrossRef
  • Long‐term effects on glycaemic control and β‐cell preservation of early intensive treatment in patients with newly diagnosed type 2 diabetes: A multicentre randomized trial
    Suk Chon, Sang Youl Rhee, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Soon Jib Yoo, Gwanpyo Koh, Dae Ho Lee, Young Seol Kim, Jeong‐Taek Woo
    Diabetes, Obesity and Metabolism.2018; 20(5): 1121.     CrossRef
  • 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 & Metabolism Journal.2018; 42(4): 285.     CrossRef
  • Metformin reduces the risk of cancer in patients with type 2 diabetes
    Hae Jin Kim, SooJin Lee, Ki Hong Chun, Ja Young Jeon, Seung Jin Han, Dae Jung Kim, Young Seol Kim, Jeong-Taek Woo, Moon-Suk Nam, Sei Hyun Baik, Kyu Jeung Ahn, Kwan Woo Lee
    Medicine.2018; 97(8): e0036.     CrossRef
  • Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus
    So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim
    Diabetes & Metabolism Journal.2018; 42(5): 380.     CrossRef
  • Failure of monotherapy in clinical practice in patients with type 2 diabetes: The Korean National Diabetes Program
    Ja Young Jeon, Soo Jin Lee, Sieun Lee, Soo Jin Kim, Seung Jin Han, Hae Jin Kim, Dae Jung Kim, Young Seol Kim, Jeong Taek Woo, Kyu Jeung Ahn, Moonsuk Nam, Sei Hyun Baik, Yongsoo Park, Kwan‐Woo Lee
    Journal of Diabetes Investigation.2018; 9(5): 1144.     CrossRef
  • Prediction of Coronary Heart Disease Risk in Korean Patients with Diabetes Mellitus
    Bo Kyung Koo, Sohee Oh, Yoon Ji Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2018; 7(2): 110.     CrossRef
  • Diagnosis and Management of Diabetic Foot
    Chang Won Lee
    The Journal of Korean Diabetes.2018; 19(3): 168.     CrossRef
  • Clinical characteristics and risk factors for retinal diabetic neurodegeneration in type 2 diabetes
    Kiyoung Kim, Eung Suk Kim, Sang Youl Rhee, Suk Chon, Jeong-taek Woo, Seung-Young Yu
    Acta Diabetologica.2017; 54(11): 993.     CrossRef
  • Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data
    Sejeong Park, Sang Youl Rhee, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(5): 393.     CrossRef
  • Clinical heterogeneity of type 1 diabetes (T1D) found in Asia
    Yongsoo Park, Kupper A. Wintergerst, Zhiguang Zhou
    Diabetes/Metabolism Research and Reviews.2017;[Epub]     CrossRef
  • Response: Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data (Diabetes Metab J 2017;41:393-404)
    Sang Youl Rhee, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(6): 494.     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
  • Hypoglycemia is associated with dementia in elderly patients with type 2 diabetes mellitus: An analysis based on the Korea National Diabetes Program Cohort
    Sang Ouk Chin, Sang Youl Rhee, Suk Chon, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Ki Hong Chun, Jeong-taek Woo, Young Seol Kim
    Diabetes Research and Clinical Practice.2016; 122: 54.     CrossRef
  • Relationship between fruit and fish intakes and cardiovascular disease risk factors in Korean women with type 2 diabetes mellitus: Based on the 4th and 5th Korea National Health and Nutrition Examination Surveys
    Ji Soo Oh, Hyesook Kim, Ki Nam Kim, Namsoo Chang
    Journal of Nutrition and Health.2016; 49(5): 304.     CrossRef
  • Hypoglycemia and Medical Expenses in Patients with Type 2 Diabetes Mellitus: An Analysis Based on the Korea National Diabetes Program Cohort
    Sang Youl Rhee, Soo Min Hong, Suk Chon, Kyu Jeung Ahn, Sung Hoon Kim, Sei Hyun Baik, Yong Soo Park, Moon Suk Nam, Kwan Woo Lee, Jeong-Taek Woo, Young Seol Kim, Zhengdong Zhang
    PLOS ONE.2016; 11(2): e0148630.     CrossRef
  • Elevated lipoprotein(a) levels predict cardiovascular disease in type 2 diabetes mellitus: a 10-year prospective cohort study
    Tae-Seok Lim, Jae-Seung Yun, Seon-Ah Cha, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Yong-Moon Park, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(6): 1110.     CrossRef
  • Low Economic Status Is Identified as an Emerging Risk Factor for Diabetes Mellitus in Korean Men Aged 30 to 59 Years in Korean National Health and Nutrition Examination Survey 2008 to 2010
    Bo Kyung Koo, Sang Wan Kim, Ka Hee Yi, Min Kyong Moon
    Diabetes & Metabolism Journal.2015; 39(2): 137.     CrossRef
  • Assessment of glycemic control in patients with type 2 diabetes mellitus treated with metformin–sulfonylurea combination: Results of a multicenter, cross‐sectional, observational study in Korea
    Sin Gon Kim, Jong Ryeal Hahm, Duk Kyu Kim, Sung Rae Cho, Dong Seop Choi
    Journal of Diabetes Investigation.2015; 6(3): 317.     CrossRef
  • Clinical and Economic Outcomes in Medication-Adherent and -Nonadherent Patients With Type 2 Diabetes Mellitus in the Republic of Korea
    So-Yeon An, Hae Jin Kim, Ki Hong Chun, Tae Ho Kim, Ja Young Jeon, Dae Jung Kim, Seung Jin Han, Young Seol Kim, Jeong Taek Woo, Kyu Jeung Ahn, Yongsoo Park, Moonsuk Nam, Sei Hyun Baik, Kwan-Woo Lee
    Clinical Therapeutics.2014; 36(2): 245.     CrossRef
  • Serum Magnesium Level Is Associated with Type 2 Diabetes in Women with a History of Gestational Diabetes Mellitus: The Korea National Diabetes Program Study
    Sae Jeong Yang, Soon Young Hwang, Sei Hyun Baik, Kwan Woo Lee, Moon Suk Nam, Yong Soo Park, Jeong Taek Woo, Young Seol Kim, Sunmin Park, So-Young Park, Chang Hoon Yim, Hyun Koo Yoon, Sung-Hoon Kim
    Journal of Korean Medical Science.2014; 29(1): 84.     CrossRef
  • Heart rate variability in children with type 1 diabetes mellitus
    Camila Balsamo Gardim, Bruno Affonso P. de Oliveira, Aline Fernanda B. Bernardo, Rayana Loch Gomes, Francis Lopes Pacagnelli, Roselene Modolo R. Lorençoni, Luiz Carlos M. Vanderlei
    Revista Paulista de Pediatria.2014; 32(2): 279.     CrossRef
  • Development of an HbA1c-Based Conversion Equation for Estimating Glycated Albumin in a Korean Population with a Wide Range of Glucose Intolerance
    Chang Hee Jung, You-Cheol Hwang, Kwang Joon Kim, Bong Soo Cha, Cheol-Young Park, Won Seon Jeon, Jae Hyeon Kim, Sang-Man Jin, Sang Youl Rhee, Jeong-taek Woo, Byung-Wan Lee, Sompop Bencharit
    PLoS ONE.2014; 9(4): e95729.     CrossRef
  • It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
    Sang Yong Kim
    Diabetes & Metabolism Journal.2014; 38(3): 194.     CrossRef
  • Prevalence and factors associated with diabetic retinopathy in a Korean adult population: The 2008–2009 Korea National Health and Nutrition Examination Survey
    Ju Yean Yang, Na Kyung Kim, Yun Jeong Lee, Jung Hyun Noh, Dae Jung Kim, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
    Diabetes Research and Clinical Practice.2013; 102(3): 218.     CrossRef
  • Increasing achievement of the target goals for glycemic, blood pressure and lipid control for adults with diagnosed diabetes in Korea
    Sung Hoon Yu, Jun Goo Kang, Yoo‐Cheol Hwang, Kyu Jeung Ahn, Hyung Joon Yoo, Hong Yup Ahn, Sung Woo Park, Cheol‐Young Park
    Journal of Diabetes Investigation.2013; 4(5): 460.     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 & Metabolism Journal.2013; 37(5): 343.     CrossRef
  • Implication of circulating omentin-1 level on the arterial stiffening in type 2 diabetes mellitus
    Hye Jin Yoo, Soon Young Hwang, Ho Cheol Hong, Hae Yoon Choi, Sae Jeong Yang, Kwan Woo Lee, Moon Suk Nam, Yong Soo Park, Jeong Taek Woo, Young Seol Kim, Kyung Mook Choi, Sei Hyun Baik
    Endocrine.2013; 44(3): 680.     CrossRef
  • Comparison of Two Creatinine-Based Equations for Predicting Decline in Renal Function in Type 2 Diabetic Patients with Nephropathy in a Korean Population
    Eun Young Lee, Young-Mi Lee, Kyu Hun Choi, Hyun Chul Lee, Byung-Wan Lee, Beom Seok Kim
    International Journal of Endocrinology.2013; 2013: 1.     CrossRef
  • Association between Nutrient Intake and Obesity in Type 2 Diabetic Patients from the Korean National Diabetes Program: A Cross-Sectional Study
    So Hun Kim, Seong Bin Hong, Young Ju Suh, Yun Jin Choi, Moonsuk Nam, Hyoung Woo Lee, Ie Byung Park, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Dae Jung Kim, Kwan Woo Lee, Young Seol Kim
    Journal of Korean Medical Science.2012; 27(10): 1188.     CrossRef
  • C1q/TNF-Related Protein-3 (CTRP-3) and Pigment Epithelium-Derived Factor (PEDF) Concentrations in Patients With Type 2 Diabetes and Metabolic Syndrome
    Kyung Mook Choi, Soon Young Hwang, Ho Cheol Hong, Sae Jeong Yang, Hae Yoon Choi, Hye Jin Yoo, Kwan Woo Lee, Moon Suk Nam, Yong Soo Park, Jeong Taek Woo, Young Seol Kim, Dong Seop Choi, Byung-Soo Youn, Sei Hyun Baik
    Diabetes.2012; 61(11): 2932.     CrossRef
  • Direct Medical Costs for Patients with Type 2 Diabetes and Related Complications: A Prospective Cohort Study Based on the Korean National Diabetes Program
    Tae Ho Kim, Ki Hong Chun, Hae Jin Kim, Seung Jin Han, Dae Jung Kim, Jiyeong Kwak, Young Seol Kim, Jeong Taek Woo, Yongsoo Park, Moonsuk Nam, Sei Hyun Baik, Kyu Jeung Ahn, Kwan Woo Lee
    Journal of Korean Medical Science.2012; 27(8): 876.     CrossRef
  • Epidemiology of Micro- and Macrovascular Complications of Type 2 Diabetes in Korea
    Jung Hee Kim, Dae Jung Kim, Hak Chul Jang, Sung Hee Choi
    Diabetes & Metabolism Journal.2011; 35(6): 571.     CrossRef
  • Letter: The Prevalence of Peripheral Arterial Disease in Korean Patients with Type 2 Diabetes Mellitus Attending a University Hospital (Diabetes Metab J 2011;35:543-50)
    Won Jun Kim, Cheol-Young Park
    Diabetes & Metabolism Journal.2011; 35(6): 637.     CrossRef
  • Satisfaction with High Deductible Policies among Patients with Diabetes in the Korean General/University Hospital System
    Dae Jung Kim
    Journal of Korean Diabetes.2011; 12(4): 179.     CrossRef
Review
The Prediabetic Period: Review of Clinical Aspects
Sang Youl Rhee, Jeong-Taek Woo
Diabetes Metab J. 2011;35(2):107-116.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.107
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AbstractAbstract PDFPubReader   

Hyperglycemia that does not satisfy the diagnostic criteria for diabetes mellitus (DM) is generally called prediabetes (preDM). The global prevalence of preDM has been increasing progressively in the past few decades, and it has been established that preDM status is a strong risk factor for DM and cardiovascular disease. Currently, preDM status is classified into two subtypes: impaired fasting glucose and impaired glucose tolerance. Currently, preDM is not regarded as an independent clinical entity, but only as a risk factor for others. In this article, we review various clinical aspects of preDM in terms of the working definition, changes in criteria over the years, epidemiology, and pathophysiological characteristics, and its clinical significance in current medicine.

Citations

Citations to this article as recorded by  
  • Comparison of triglyceride/glucose index and related parameters with Indian Diabetes Risk Score assessment in non-diabetic individuals visiting primary healthcare centre—A community-based cross-sectional study
    Sivapragasam Ramalingam, Amlan Kumar Kar, Rajini Senthil
    Journal of Family Medicine and Primary Care.2024; 13(1): 235.     CrossRef
  • Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?
    Davood Khalili, Marjan Khayamzadeh, Karim Kohansal, Noushin Sadat Ahanchi, Mitra Hasheminia, Farzad Hadaegh, Maryam Tohidi, Fereidoun Azizi, Ali Siamak Habibi-Moeini
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction
    Anthony Chibuzor Nnamudi, Noghayin Jerry Orhue, Ifeoma Irene Ijeh, Amarachi Nene Nwabueze
    Journal of Diabetes & Metabolic Disorders.2023; 22(2): 1337.     CrossRef
  • Predictive value of triglycerides to high-density lipoprotein cholesterol and triglyceride glycemic index for diabetes incidence in pre-diabetes patients: a prospective cohort study
    Mehdi Sharafi, Zahra Amiri, Babak Pezeshki, Mohammad Ali Mohsenpour, Mohammad Hassan Eftekhari, Sima Afrashteh, Elham Haghjoo, Akram Farhadi, Mohsen Khaleghi, Zahra Mastaneh
    Journal of Health, Population and Nutrition.2023;[Epub]     CrossRef
  • Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China
    Jinyu Su, Zhu Li, Mengnan Huang, Yang Wang, Tong Yang, Mei Ma, Tongyao Ni, Guangwei Pan, Ziqin Lai, Chunjie Li, Lin Li, Chunquan Yu
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • The triglyceride-glucose index, a predictor of type 2 diabetes development: A retrospective cohort study
    Panya Chamroonkiadtikun, Thareerat Ananchaisarp, Worawit Wanichanon
    Primary Care Diabetes.2020; 14(2): 161.     CrossRef
  • Undiagnosed prediabetes status is associated with a reduced effectiveness of phosphodiesterase type 5 inhibitors in men with erectile dysfunction
    Luca Boeri, Paolo Capogrosso, Eugenio Ventimiglia, Edoardo Pozzi, Francesco Chierigo, Federico Belladelli, Rani Zuabi, Nicolò Schifano, Costantino Abbate, Federico Dehò, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
    International Journal of Impotence Research.2020; 32(4): 393.     CrossRef
  • Modifiable risk factors associated with non-communicable diseases among adult outpatients in Manzini, Swaziland: a cross-sectional study
    Mojeed Akorede Gbadamosi, Boikhutso Tlou
    BMC Public Health.2020;[Epub]     CrossRef
  • Effect of a family and interdisciplinary intervention to prevent T2D: randomized clinical trial
    Katya Vargas-Ortiz, Georgina Lira-Mendiola, Claudia M. Gómez-Navarro, Katya Padilla-Estrada, Fabiola Angulo-Romero, José M. Hernández-Márquez, Ana K. Villa-Martínez, Jessica N. González-Mena, Maciste H. Macías-Cervantes, Maria de Lourdes Reyes-Escogido, R
    BMC Public Health.2020;[Epub]     CrossRef
  • Sexual Dysfunction in Men with Prediabetes
    Luca Boeri, Paolo Capogrosso, Eugenio Ventimiglia, Nicolò Schifano, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
    Sexual Medicine Reviews.2020; 8(4): 622.     CrossRef
  • The ratio of estimated average glucose to fasting plasma glucose level as an indicator of insulin resistance in young adult diabetes
    Jun Guo, Sisi Lei, Yu Zhou, Congqing Pan
    Medicine.2020; 99(40): e22337.     CrossRef
  • Health risks and interventions in prediabetes: A review
    Roshan Kumar Mahat, Neelima Singh, Manisha Arora, Vedika Rathore
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(4): 2803.     CrossRef
  • 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
  • Nutraceuticals: Reviewing their Role in Chronic Disease Prevention and Management
    Amanda Bergamin, Evangeline Mantzioris, Giordana Cross, Permal Deo, Sanjay Garg, Alison M. Hill
    Pharmaceutical Medicine.2019; 33(4): 291.     CrossRef
  • Prediabetes awareness among Southeastern European physicians
    Visnja Kokic, Slaven Kokic, Mladen Krnic, Marin Petric, Ana Marija Liberati, Petra Simac, Tatjana Milenkovic, Vesna Capkun, Dario Rahelic, Kristina Blaslov
    Journal of Diabetes Investigation.2018; 9(3): 544.     CrossRef
  • Unrecognized Prediabetes Is Highly Prevalent in Men With Erectile Dysfunction–Results From a Cross-Sectional Study
    Luca Boeri, Paolo Capogrosso, Filippo Pederzoli, Eugenio Ventimiglia, Nicola Frego, Francesco Chierigo, Emanuele Montanari, Francesco Montorsi, Andrea Salonia
    The Journal of Sexual Medicine.2018; 15(8): 1117.     CrossRef
  • Metformin exerts anti-obesity effect via gut microbiome modulation in prediabetics: A hypothesis
    Kunal Maniar, Amal Moideen, Rajasri Bhattacharyya, Dibyajyoti Banerjee
    Medical Hypotheses.2017; 104: 117.     CrossRef
  • An association between bone mineral density and anabolic hormones in middle-aged and elderly men with prediabetes
    Michał Rabijewski, Lucyna Papierska, Paweł Piątkiewicz
    The Aging Male.2017; : 1.     CrossRef
  • The Relationships between Anabolic Hormones and Body Composition in Middle-Aged and Elderly Men with Prediabetes: A Cross-Sectional Study
    Michał Rabijewski, Lucyna Papierska, Paweł Piątkiewicz
    Journal of Diabetes Research.2016; 2016: 1.     CrossRef
  • Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study
    Shuang Zheng, Sheng Shi, Xingxing Ren, Tingting Han, Yangxue Li, Yawen Chen, Wei Liu, Peter C. Hou, Yaomin Hu
    Journal of Translational Medicine.2016;[Epub]     CrossRef
  • Glucose-Dependent Insulinotropic Peptide Level Is Associated with the Development of Type 2 Diabetes Mellitus
    Sunghwan Suh, Mi Yeon Kim, Soo Kyoung Kim, Kyu Yeon Hur, Mi Kyoung Park, Duk Kyu Kim, Nam H. Cho, Moon-Kyu Lee
    Endocrinology and Metabolism.2016; 31(1): 134.     CrossRef
  • Predictive Value of Glucose Parameters Obtained From Oral Glucose Tolerance Tests in Identifying Individuals at High Risk for the Development of Diabetes in Korean Population
    Hae Kyung Yang, Hee-Sung Ha, Marie Rhee, Jin-Hee Lee, Yong-Moon Park, Hyuk-Sang Kwon, Hyeon-Woo Yim, Moo-Il Kang, Won-Chul Lee, Ho-Young Son, Seung-Hwan Lee, Kun-Ho Yoon
    Medicine.2016; 95(10): e3053.     CrossRef
  • Alteraciones glucémicas en los pacientes con enfermedad renal crónica
    G. De’Marziani, G. Soler Pujol, L.M. Obregón, E.M. Morales, C.D. Gonzalez, L. Gonzalez Paganti, L. Cacciagiú, G. Lopez, L. Schreier, A. Elbert
    Nefrología.2016; 36(2): 133.     CrossRef
  • Glycaemic changes in patients with chronic kidney disease
    Guillermo De’Marziani, Gervasio Soler Pujol, Liliana Miriam Obregón, Elisa Mabel Morales, Claudio Daniel Gonzalez, Luciana Gonzalez Paganti, Leonardo Cacciagiú, Graciela Lopez, Laura Schreier, Alicia Elbert
    Nefrología (English Edition).2016; 36(2): 133.     CrossRef
  • Reduction of postprandial blood glucose in healthy subjects by buns and flatbreads incorporated with fenugreek seed powder
    Sathyasurya Daniel Robert, Aziz Al-safi Ismail, Wan Ishak Wan Rosli
    European Journal of Nutrition.2016; 55(7): 2275.     CrossRef
  • 1,5-Anhydroglucitol Is Associated with Early-Phase Insulin Secretion in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Xiaojing Ma, Yaping Hao, Xiang Hu, Yuqi Luo, Zixuan Deng, Jian Zhou, Yuqian Bao, Weiping Jia
    Diabetes Technology & Therapeutics.2015; 17(5): 320.     CrossRef
  • The product of triglycerides and glucose in comparison with fasting plasma glucose did not improve diabetes prediction
    Mohsen Janghorbani, Siedeh Zinab Almasi, Masoud Amini
    Acta Diabetologica.2015; 52(4): 781.     CrossRef
  • Serum prostate-specific antigen levels in men with prediabetes: A cross-sectional study
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    Diabetes & Metabolism Journal.2014; 38(6): 456.     CrossRef
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    PLoS ONE.2014; 9(2): e90430.     CrossRef
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    Acta Diabetologica.2014; 51(1): 15.     CrossRef
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    Journal of Diabetes Investigation.2014; 5(5): 517.     CrossRef
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    International Journal of Clinical Practice.2014; 68(11): 1338.     CrossRef
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    Journal of Diabetes Investigation.2014; 5(5): 554.     CrossRef
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    Diabetic Medicine.2013; 30(4): 436.     CrossRef
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    Diabetes & Metabolism Journal.2013; 37(6): 465.     CrossRef
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    Diabetes/Metabolism Research and Reviews.2013; 29(6): 507.     CrossRef
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    Clinical Endocrinology.2012; 77(5): 679.     CrossRef
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    Diabetes Technology & Therapeutics.2012; 14(6): 508.     CrossRef
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    PLoS ONE.2012; 7(12): e50954.     CrossRef
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    Diabetes & Metabolism Journal.2012; 36(2): 116.     CrossRef
Original Article
Autoimmune Hypoglycemia in a Patient with Characterization of Insulin Receptor Autoantibodies
Suk Chon, Moon Chan Choi, Yun Jung Lee, 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
Diabetes Metab J. 2011;35(1):80-85.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.80
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AbstractAbstract PDFPubReader   
Background

Type B insulin resistance syndrome is a manifestation of autoantibodies to the insulin receptor that results in severe hyperglycemia and acanthosis nigricans. However, the mechanisms by which these autoantibodies induce hypoglycemia are largely unknown. In this paper, we report the case of patient with type B insulin resistance syndrome who presented with frequent severe fasting hypoglycemia and acanthosis nigricans.

Methods

To evaluate the mechanism of hypoglycemia, we measured the inhibition of insulin binding to erythrocytes and IM9 lymphocytes in a sample of the patient's dialyzed serum before and after immunosuppressive therapy.

Results

In the patient's pre-treatment serum IgG, the binding of 125I-insulin to erythrocytes was markedly inhibited in a dose-dependent manner until the cold insulin level reached 10-9 mol/L. We also observed dose-dependent inhibition of insulin binding to IM9 lymphocytes, which reached approximately 82% inhibition and persisted even when diluted 1:20. After treatment with glucocorticoids, insulin-erythrocyte binding activity returned to between 70% and 80% of normal, while the inhibition of insulin-lymphocyte binding was reduced by 17%.

Conclusion

We treated a patient with type B insulin resistance syndrome showing recurrent fasting hypoglycemia with steroids and azathioprine. We characterized the patient's insulin receptor antibodies by measuring the inhibition of insulin binding.

Citations

Citations to this article as recorded by  
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  • 反復する低血糖発作を契機に発見されたインスリン受容体異常症B型の1例(A case of type B insulin resistance presenting as recurrent hypoglycemia)
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    Nihon Kyukyu Igakukai Zasshi: Journal of Japanese Association for Acute Medicine.2017; 28(3): 100.     CrossRef
  • Type B insulin resistance syndrome
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    Current Opinion in Endocrinology, Diabetes & Obesity.2016; 23(4): 318.     CrossRef
  • Antibody-Mediated Insulin Resistance: When Insulin and Insulin Receptor Act as Autoantigens in Humans
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    Canadian Journal of Diabetes.2016; 40(5): 462.     CrossRef
  • The insulin autoimmune syndrome (IAS) as a cause of hypoglycaemia: an update on the pathophysiology, biochemical investigations and diagnosis
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    Clinical Chemistry and Laboratory Medicine (CCLM).2016; 54(11): 1715.     CrossRef
  • Type B insulin-resistance syndrome presenting as autoimmune hypoglycemia, associated with systemic lupus erythematosus and interstitial lung disease
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    The Korean Journal of Internal Medicine.2013; 28(1): 98.     CrossRef
  • Treatment of recurrent hypoglycemia with plasmapheresis and steroid in nondiabetic patient
    Mustafa Kulaksızoglu, Mustafa Sait Gonen, Levent Kebapcilar, Fatih Sahin, Fatih Demirci, Ali Topcu
    Transfusion and Apheresis Science.2013; 48(1): 11.     CrossRef
  • A Case of Persistent Hypoglycemia: When to Think Outside the Box
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    Clinical Diabetes.2013; 31(3): 130.     CrossRef
  • The effect of hyperglycemia and hypoglycemia on glucose transport and expression of glucose transporters in human lymphocytes B and T: An in vitro study
    Bożenna Oleszczak, Leszek Szablewski, Monika Pliszka
    Diabetes Research and Clinical Practice.2012; 96(2): 170.     CrossRef
  • The effect of glucose concentrations in the medium on expression of insulin receptors in human lymphocytes B and T: anin vitrostudy
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    Journal of Receptors and Signal Transduction.2012; 32(5): 263.     CrossRef
  • Fulminant Type 1 diabetes in a pregnant woman as an initial manifestation of the insulin autoimmune syndrome
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    Diabetic Medicine.2012; 29(10): 1335.     CrossRef
  • A Case of the Type B Insulin Resistance Syndrome with Chronic Hepatitis B
    Hyun Seok Choi, Byoung Ho Choi, Seok Hoo Jeong, Shung Han Choi, Dong Su Shin, Sei hyun Kim, Young Sil Eom, Sihoon Lee, Yeun Sun Kim, Ie Byung Park, Ki Young Lee
    Endocrinology and Metabolism.2011; 26(4): 360.     CrossRef

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