Diabetes & Metabolism Journal

Original Articles

Obesity and Metabolic Syndrome
Prediction of Gestational Diabetes Mellitus in Pregnant Korean Women Based on Abdominal Subcutaneous Fat Thickness as Measured by Ultrasonography: Sung Hee Yang, Changsoo Kim, Hyun Sook An, Hyun An, Jin Soo Lee; Diabetes Metab J. 2017;41(6):486-491. Published online September 22, 2017; DOI: https://doi.org/10.4093/dmj.2017.41.6.486

5,591 View
64 Download
25 Web of Science
29 Crossref

Background

This study was performed to verify the correlation between abdominal subcutaneous fat thickness (ASFT) measured by ultrasonography (US) during the first trimester of pregnancy and gestational diabetes mellitus (GDM) of the second trimester in Korean women and to establish a standard of ASFT for predicting GDM.

Methods

A total of 333 singleton pregnant women participated in this study. Their ASFT was measured by US during the 10⁺⁶ to 13⁺⁶ weeks of pregnancy; then a GDM confirmatory test (100 g oral glucose tolerance test) was conducted during the 24 to 28 week period of pregnancy. Based on the GDM tests, comparative analyses of the ages of the subjects, pre-pregnancy body mass index (BMI), and weight gain during pregnancy were conducted.

Results

The ages of the subjects and weight gains during pregnancy were not correlated to the GDM of the second trimester of pregnancy, but the pre-pregnancy BMIs (22±3.3 kg/m²) and the ASFT (1.9±0.5 cm) measurements between the control group and subjects during the first trimester of pregnancy were found to show significant differences (P<0.001). The cut-off value of the ASFT for predicting GDM was determined to be 2.4 cm (area under the curve=0.90, sensitivity 75.61%, specificity 91.78%, P<0.001). The odds ratio was 2.91 (95% confidence interval, 1.07 to 7.92; P=0.034), which was higher than the 2.4 cm ASFT.

Conclusion

It was determined that ASFT as measured by US during the first trimester of pregnancy can be used to predict the risk of developing GDM during the second trimester of pregnancy and for prognosis.

Citations

Citations to this article as recorded by

Abdominal subcutaneous fat thickness combined with a 50-g glucose challenge test at 24-28 weeks of pregnancy in predicting gestational diabetes mellitus
Süleyman Cemil Oğlak, Emine Zeynep Yılmaz, Mehmet Şükrü Budak
Journal of Obstetrics and Gynaecology.2024;[Epub] CrossRef
Gestasyonel Diyabeti Olan ve Olmayan Gebelerin Sosyal Jetlag ve Beslenme Durumunun İncelenmesi
Deniz Çatar, Sinem Bayram
Kahramanmaraş Sütçü İmam Üniversitesi Tıp Fakültesi Dergisi.2024; 19(2): 40. CrossRef
Magnesium from Deep Seawater as a Potentially Effective Natural Product against Insulin Resistance: A Randomized Trial
Ji Yeon Ham, You Kyung Jang, Byong Yeob Jeon, Yun Hee Shon
Medicina.2024; 60(8): 1265. CrossRef
Analysis of Risk Factors Associated with Gestational Diabetes Mellitus: A Retrospective Case-Control Study
Jing Zhong, Hua Zhang, Jie Wu, Bosen Zhang, Liubing Lan
International Journal of General Medicine.2024; Volume 17: 4229. CrossRef
The Value of Maternal Upper Abdominal Ad-ipose Thickness in Predicting GDM in Early Pregnancy
娜娜郭
Advances in Clinical Medicine.2023; 13(03): 4702. CrossRef
Evaluating the Adipose Tissue Depth as a Predictor Factor for Gestational Diabetes in Later Pregnancy—A Systematic Review
Bianca-Margareta Salmen, Valeria-Anca Pietrosel, Cristiana-Elena Durdu, Teodor Salmen, Cosmina Theodora Diaconu, Ioana-Cristina Bica, Claudia Gabriela Potcovaru, Florentina Gherghiceanu, Roxana-Adriana Stoica, Anca Pantea Stoian
Biomedicines.2023; 11(5): 1492. CrossRef
The Association Between Body Fat Index and Gestational Diabetes Mellitus: A Prospective Cohort Study
Sawanya Benchahong, Prasert Sunsaneevithayakul, Dittakarn Boriboonhirunsarn
Cureus.2023;[Epub] CrossRef
Ultrasound evaluation of subcutaneous and visceral abdominal fat as a predictor of gestational diabetes mellitus: a systematic review
Fernanda Teixeira Benevides, Edward Araujo Júnior, Carla Soraya Costa Maia, Renan Magalhães Montenegro Junior, Francisco Herlânio Costa Carvalho
The Journal of Maternal-Fetal & Neonatal Medicine.2022; 35(11): 2216. CrossRef
The Early Sonographic Prediction of Gestational Diabetes in Women From India
Shivani Gupta, Arjun Gupta, C. P. Swarnakar, Monika Rathore, Ramesh Beniwal, Kiran Meena, Anita Simlot, Nidhi Gupta
Journal of Diagnostic Medical Sonography.2022; 38(1): 18. CrossRef
Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus?
Sedat Akgöl, Mehmet Şükrü Budak, Süleyman Cemil Oğlak, Fatma Ölmez, Mehmet Emin Dilek, Serhat Kartal
Journal of Obstetrics and Gynaecology Research.2022; 48(3): 634. CrossRef
Prediction of gestational diabetes mellitus by different obesity indices
Zhimin Song, Yan Cheng, Tingting Li, Yongfang Fan, Qingying Zhang, Haidong Cheng
BMC Pregnancy and Childbirth.2022;[Epub] CrossRef
Association between maternal adiposity measures and adverse maternal outcomes of pregnancy: Systematic review and meta‐analysis
Nicola Heslehurst, Lem Ngongalah, Theophile Bigirumurame, Giang Nguyen, Adefisayo Odeniyi, Angela Flynn, Vikki Smith, Lisa Crowe, Becky Skidmore, Laura Gaudet, Alexandre Simon, Louise Hayes
Obesity Reviews.2022;[Epub] CrossRef
Association of body composition in early pregnancy with gestational diabetes mellitus: A meta-analysis
Fatemeh Alsadat Rahnemaei, Fatemeh Abdi, Reza Pakzad, Seyedeh Hajar Sharami, Fatemeh Mokhtari, Elham Kazemian, Rajakumar Anbazhagan
PLOS ONE.2022; 17(8): e0271068. CrossRef
Early Gestational Diabetes Detection Using Neural Network
Tanzina Rahman Hera, Md. Ashikur Rahman Khan, Nishu Nath
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE.2021; 18: 1. CrossRef
The association of general obesity, central obesity and visceral body fat with the risk of gestational diabetes mellitus: Evidence from a systematic review and meta-analysis
Sura M. Alwash, H. David McIntyre, Abdullah Mamun
Obesity Research & Clinical Practice.2021; 15(5): 425. CrossRef
Abdominal skin subcutaneous fat thickness over the gestational period in Korean pregnant women: a descriptive observational study
Moon Sook Hwang
Korean Journal of Women Health Nursing.2021; 27(4): 318. CrossRef
Relationship between Maternal Central Obesity and the Risk of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis of Cohort Studies
Da Yao, Qing Chang, Qi-Jun Wu, Shan-Yan Gao, Huan Zhao, Ya-Shu Liu, Yu-Ting Jiang, Yu-Hong Zhao
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Maternal Adipose Tissue Expansion, A Missing Link in the Prediction of Birth Weight Centile
Eleanor M Jarvie, Frances M Stewart, Jane E Ramsay, E Ann Brown, Barbara J Meyer, Gunilla Olivecrona, Bruce A Griffin, Dilys J Freeman
The Journal of Clinical Endocrinology & Metabolism.2020; 105(3): e814. CrossRef
Ultrasound assessment of maternal adipose tissue during 1st trimester screening for aneuploidies and risk of developing gestational diabetes
Francesco D’Ambrosi, Gabriele Rossi, Chiara M. Soldavini, Matteo Di Maso, Ilma F. Carbone, Giulia E. Cetera, Enrico Colosi, Enrico Ferrazzi
Acta Obstetricia et Gynecologica Scandinavica.2020; 99(5): 644. CrossRef
Vitamin D Deficiency at Mid-Pregnancy Is Associated with a Higher Risk of Postpartum Glucose Intolerance in Women with Gestational Diabetes Mellitus
Kyung-Soo Kim, Seok Won Park, Yong-Wook Cho, Soo-Kyung Kim
Endocrinology and Metabolism.2020; 35(1): 97. CrossRef
Fetal pancreatic hyperechogenicity may be an early ultrasonographic sign of gestational diabetes mellitus
Hatice Akkaya, Barış Büke, Gülsüm Uysal
The Journal of Maternal-Fetal & Neonatal Medicine.2020; 33(14): 2387. CrossRef
The Body Composition in Early Pregnancy is Associated with the Risk of Development of Gestational Diabetes Mellitus Late During the Second Trimester

Yanping Liu, Jing Liu, Yinjie Gao, Dan Zheng, Wei Pan, Min Nie, Liangkun Ma
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 2367. CrossRef
New Diagnostic Criteria for Gestational Diabetes Mellitus and Pregnancy Outcomes in Korea
Kyu Yeon Hur
Diabetes & Metabolism Journal.2019; 43(6): 763. CrossRef
Inter and intra-reliability of ultrasonography for the measurement of abdominal subcutaneous & visceral adipose tissue thickness at 12 weeks gestation
Alexandra Cremona, Kevin Hayes, Clodagh S. O’Gorman, Ciara Ní Laighin, Khadijah I. Ismail, Alan E. Donnelly, Jill Hamilton, Amanda Cotter
BMC Medical Imaging.2019;[Epub] CrossRef
Maternal abdominal subcutaneous fat thickness as a simple predictor for gestational diabetes mellitus
Mehmet Sukru Budak, Ilker Kahramanoglu, Salvatore Giovanni Vitale, Sedat Akgol, Mehmet Emin Dilek, Serhat Kartal, Salvatore Caruso, Bekir Kahveci, Mehmet Obut, Muhammed Hanifi Bademkiran, Antonio Cianci
Journal of Perinatal Medicine.2019; 47(6): 605. CrossRef
Hypertriglyceridemia and Waist Phenotype as Markers in the Prediction of Gestational Diabetes in Iraqi Women
Faris Anwer Rasheed, Raghad Hasan Mshattat, Ulfat Mohammad Alnakkash, Saad Abdulrahma
Research Journal of Obstetrics and Gynecology.2018; 11(1): 25. CrossRef
The importance of treating mild hyperglycemia in pregnant women with diabetes
Kyung-Soo Kim
The Korean Journal of Internal Medicine.2018; 33(6): 1079. CrossRef
Anthropometric and ultrasound measures of maternal adiposity in the first trimester of pregnancy
Narelle Kennedy, Ann Quinton, Michael John Peek, Valeria Lanzarone, Ron Benzie, Ralph Nanan
Australasian Journal of Ultrasound in Medicine.2018; 21(3): 147. CrossRef
Simple Screening Using Ultrasonography for Prediction of Gestational Diabetes Mellitus
Seung Min Chung, Jun Sung Moon
Diabetes & Metabolism Journal.2017; 41(6): 438. CrossRef

Clinical Diabetes & Therapeutics
Determinants of Long-Term Durable Glycemic Control in New-Onset Type 2 Diabetes Mellitus: Kyoung Jin Kim, Ju Hee Choi, Kyeong Jin Kim, Jee Hyun An, Hee Young Kim, Sin Gon Kim, Nam Hoon Kim; Diabetes Metab J. 2017;41(4):284-295. Published online August 3, 2017; DOI: https://doi.org/10.4093/dmj.2017.41.4.284

5,037 View
92 Download
11 Web of Science
11 Crossref

Abstract PDF Supplementary Material PubReader

Background

Long-term durable glycemic control is a difficult goal in the management of type 2 diabetes mellitus (T2DM). We evaluated the factors associated with durable glycemic control in a real clinical setting.

Methods

We retrospectively reviewed the medical records of 194 new-onset, drug-naïve patients with T2DM who were diagnosed between January 2011 and March 2013, and were followed up for >2 years. Glycemic durability was defined as the maintenance of optimal glycemic control (glycosylated hemoglobin [HbA1c] <7.0%) for 2 years without substitution or adding other glucose-lowering agents. Clinical factors and glycemic markers associated with glycemic durability were compared between two groups: a durability group and a non-durability group.

Results

Patients in the durability group had a higher baseline body mass index (26.1 kg/m² vs. 24.9 kg/m²) and lower HbA1c (8.6% vs. 9.7%) than the non-durability group. The initial choice of glucose-lowering agents was similar in both groups, except for insulin and sulfonylureas, which were more frequently prescribed in the non-durability group. In multiple logistic regression analyses, higher levels of education, physical activity, and homeostasis model assessment of β-cell function (HOMA-β) were associated with glycemic durability. Notably, lower HbA1c (<7.0%) at baseline and first follow-up were significantly associated with glycemic durability (adjusted odds ratio [OR], 7.48; 95% confidence interval [CI], 2.51 to 22.3) (adjusted OR, 9.27; 95% CI, 1.62 to 53.1, respectively), after adjusting for confounding variables including the types of glucose-lowering agents.

Conclusion

Early achievement of HbA1c level within the glycemic target was a determinant of long-term glycemic durability in new-onset T2DM, as were higher levels of education, physical activity, and HOMA-β.

Citations

Citations to this article as recorded by

Initial Combination Therapy in Type 2 Diabetes
Ji Yoon Kim, Nam Hoon Kim
Endocrinology and Metabolism.2024; 39(1): 23. CrossRef
Validation of RSSDI therapeutic wheel with clinical experience of Indian physicians
Dhruvi Hasnani, Vipul Chavda, Dinesh Agrawal, Bijay Patni, Ashwin David, Sachin Gathe, Rajeev Chawla, Jothydev Kesavadev, Sunil Gupta, Shriji Hasnani, Banshi Saboo
International Journal of Diabetes in Developing Countries.2022; 42(3): 451. CrossRef
Greater Glycemic Burden Is Associated with Further Poorer Glycemic Control in Newly-Diagnosed Type 2 Diabetes Mellitus Patients
Wei-Lun Wen, Hui-Chun Huang, Hsiu-Chu Lin, Wan-Ching Lo, Szu-Chia Chen, Mei-Yueh Lee
Nutrients.2022; 14(2): 320. CrossRef
Durability of glucose-lowering effect of dulaglutide in patients with type 2 diabetes mellitus: A real-world data study
Hwi Seung Kim, Yun Kyung Cho, Myung Jin Kim, Chang Hee Jung, Joong-Yeol Park, Woo Je Lee
Frontiers in Endocrinology.2022;[Epub] CrossRef
Durability of glycaemic control in type 2 diabetes: A systematic review and meta‐analysis for its association with body weight changes
Danpei Li, HuaJie Zou, Ping Yin, Wenjun Li, Junyu He, Shuyun Wang, Li Huang, Shiying Shao, Yong Chen, Yan Yang, Xuefeng Yu
Diabetes, Obesity and Metabolism.2021; 23(1): 208. CrossRef
Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: AnEast Asianperspective
Linong Ji, Juliana C. N. Chan, Miao Yu, Kun Ho Yoon, Sin Gon Kim, Sung Hee Choi, Chien‐Ning Huang, Shih Te Tu, Chih‐Yuan Wang, Päivi Maria Paldánius, Wayne H. H. Sheu
Diabetes, Obesity and Metabolism.2021; 23(1): 3. 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
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(3): 368. CrossRef
Effectiveness of Resistance Training and Associated Program Characteristics in Patients at Risk for Type 2 Diabetes: a Systematic Review and Meta-analysis
Raza Qadir, Nicholas F. Sculthorpe, Taylor Todd, Elise C. Brown
Sports Medicine - Open.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
Association of Habitual Daily Physical Activity With Glucose Tolerance and β-Cell Function in Adults With Impaired Glucose Tolerance or Recently Diagnosed Type 2 Diabetes From the Restoring Insulin Secretion (RISE) Study
Karla A. Temple, Ashley H. Tjaden, Karen M. Atkinson, Elena Barengolts, Tamara S. Hannon, Kieren J. Mather, Kristina M. Utzschneider, Sharon L. Edelstein, David A. Ehrmann, Babak Mokhlesi, Philip S. Zeitler, Jayne Williams, Melanie Cree-Green, Yesenia Gar
Diabetes Care.2019; 42(8): 1521. CrossRef
Factors Associated with Poor Hemoglobin A1c Control in Patients with Type 2 Diabetes
Salam Alqudah, Anan S. Jarab, Eman A. Alefishat, Fadia Mayyas, Maher Khdour, Sharrel Pinto
Current Diabetes Reviews.2019; 15(2): 164. CrossRef

Current Status of Glycemic Control of Patients with Diabetes in Korea: The Fifth Korea National Health and Nutrition Examination Survey: Ja Young Jeon, Dae Jung Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Soo Lim, Sung Hee Choi, Chul Sik Kim, Jee Hyun An, Nan Hee Kim, Jong Chul Won, Jae Hyeon Kim, Bong-Yun Cha, Kee-Ho Song; Diabetes Metab J. 2014;38(3):197-203. Published online June 17, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.3.197

5,140 View
60 Download
46 Web of Science
51 Crossref

Abstract PDF PubReader

Background

The Korea National Health and Nutrition Examination Survey (KNHANES) III (2005) reported that 22.9% of individuals with diabetes have a glycated hemoglobin (HbA1c) <6.5% and that 43.5% have an HbA1c <7%. We investigated the levels of glycemic control and the factors associated with glycemic control using data from the KNHANES V (2010 to 2012).

Methods

Subjects with diabetes diagnosed by a physician or those taking antidiabetic medications were classified as individuals with known diabetes. Of 1,498 subjects aged ≥30 years with diabetes, we excluded 157 individuals who were missing HbA1c data. A total of 1,341 subjects were included in the final analysis.

Results

The prevalence of known diabetes was 7.7% (n=1,498, estimated to be 2.32 million people). The proportions of well-controlled diabetes meeting a HbA1c goal of <6.5% and <7% were 27% and 45.6%, respectively. HbA1c increased as the duration of diabetes increased. HbA1c in subjects with a duration of diabetes ≤5 years was lower than in subjects with a duration >5 years. HbA1c in the group taking only oral hypoglycemic agents (OHAs) was significantly lower than that in the group administered only insulin or OHA and insulin in combination. In logistic regression analysis, a longer duration of diabetes, insulin use and the absence of chronic renal failure were associated with HbA1c levels >6.5%.

Conclusion

The level of adequate glycemic control was similar to but slightly improved compared with previous levels. The glycemic control of long-standing diabetes patients is more difficult even though they receive insulin treatment.

Citations

Citations to this article as recorded by

Information and Communications Technology–Based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis Based on ICT-CM Trial Results
Sung-Hee Oh, Jae-Heon Kang, Jin-Won Kwon
Journal of Medical Internet Research.2024; 26: e51239. CrossRef
Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin
Ji Yoon Kim, Sabrina Ilham, Hamza Alshannaq, Richard F. Pollock, Waqas Ahmed, Gregory J. Norman, Sang-Man Jin, Jae Hyeon Kim
Journal of Medical Economics.2024; 27(1): 1245. CrossRef
Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
Sang-Yong Kim, Sungrae Kim
Diabetes Therapy.2023; 14(1): 109. CrossRef
Declined incidence of patients treated for vision-threatening diabetic retinopathy in South Korea: a 12-year nationwide population-based study
Jiwon Kim, Hyojin Seong, Kang Ju Son, Eun Jee Chung
Graefe's Archive for Clinical and Experimental Ophthalmology.2022; 260(1): 101. CrossRef
Glycemic status and general characteristics among individuals with undiagnosed diabetes; findings from second National Diabetes Survey of Pakistan 2016–2017 (NDSP 08)
Abdul Basit, Nazish Waris, Asher Fawwad, Bilal Tahir, Iftikhar Ahmed Siddiqui, Mujeeb Ur Rehman Abro, Khawaja Ishfaq Ahmed, Khurshid Ahmed, Sobia Sabir Ali, Ahmed Bilal, Anam Butt, Bikha Ram Devrajani, Ijaz Hayder, Yasir Humayun, Rabia Irshad, Riasat Ali
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2022; 16(6): 102535. CrossRef
Glycemic control and its determinants among people with type 2 diabetes mellitus in Ernakulam district, Kerala
ShanaShirin Najeeb, TeenaMary Joy, Aswathy Sreedevi, K Vijayakumar, Syama, . Glycaemic Control and Determinants Team
Indian Journal of Public Health.2022; 66(5): 80. CrossRef
C-peptide level as predictor of type 2 diabetes remission and body composition changes in non-diabetic and diabetic patients after Roux-en-Y gastric bypass
Roberto de Cleva, Flavio Kawamoto, Georgia Borges, Priscila Caproni, Alex Jones Flores Cassenote, Marco Aurelio Santo
Clinics.2021; 76: e2906. CrossRef
Inadequate achievement of ABC goals (HbA1c, blood pressure, LDL-C) among patients with type 2 diabetes in an Iranian population, 2012–2017
Mehrdad Larry, Saeid Alizadeh, Sina Naderi, Bahareh Salekani, Mohammad Ali Mansournia, Soghra Rabizadeh, Alireza Esteghamati, Manouchehr Nakhjavani
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(4): 619. CrossRef
Site-specific cancer risk in patients with type 2 diabetes: a nationwide population-based cohort study in Korea
Suk Kyeong Kim, Ju-Young Jang, Dong-Lim Kim, Young A Rhyu, Suh Eun Lee, Seung-Hyun Ko, Kyungdo Han, Kee-Ho Song
The Korean Journal of Internal Medicine.2020; 35(3): 641. CrossRef
The development of oral semaglutide, an oral GLP-1 analog, for the treatment of type 2 diabetes
Mads Frederik Rasmussen
Diabetology International.2020; 11(2): 76. CrossRef
An Assessment of Pharmacokinetic Interaction Between Lobeglitazone and Sitagliptin After Multiple Oral Administrations in Healthy Men
Seol Ju Moon, Kyung-Sang Yu, Min-Gul Kim
Clinical Therapeutics.2020; 42(6): 1047. CrossRef
Nationwide Trends in Pancreatitis and Pancreatic Cancer Risk Among Patients With Newly Diagnosed Type 2 Diabetes Receiving Dipeptidyl Peptidase 4 Inhibitors
Minyoung Lee, Jiyu Sun, Minkyung Han, Yongin Cho, Ji-Yeon Lee, Chung Mo Nam, Eun Seok Kang
Diabetes Care.2019; 42(11): 2057. CrossRef
Factors Influencing Glycemic Control among Type 2 Diabetes Mellitus Patients: The Sixth Korea National Health and Nutrition Examination Survey (2013~2015)
Mee Ock Gu
Korean Journal of Adult Nursing.2019; 31(3): 235. CrossRef
Trends in metabolic risk factors among patients with diabetes mellitus according to income levels: the Korea National Health and Nutrition Examination Surveys 1998 ~ 2014
Sukyung Cho, Kyong Park
Journal of Nutrition and Health.2019; 52(2): 206. CrossRef
Current status of treatment of type 2 diabetes mellitus in Ningbo, China
Tianmeng Yang, Rongjiong Zheng, Qingmei Chen, Yushan Mao
Journal of Clinical Laboratory Analysis.2019;[Epub] CrossRef
Trends in the prevalence and management of diabetes in Korea: 2007-2017
Ji-Yeon Shin
Epidemiology and Health.2019; 41: e2019029. 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
A new comprehensive diabetes health literacy scale: Development and psychometric evaluation
Eun-Hyun Lee, Young Whee Lee, Kwan-Woo Lee, Moonsuk Nam, So Hun Kim
International Journal of Nursing Studies.2018; 88: 1. CrossRef
Women are less likely than men to achieve optimal glycemic control after 1 year of treatment: A multi-level analysis of a Korean primary care cohort
Seung-Ah Choe, Joo Yeong Kim, Young Sun Ro, Sung-Il Cho, Antonio Palazón-Bru
PLOS ONE.2018; 13(5): e0196719. CrossRef
Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013
Kyeong Jin Kim, Tae Yeon Kwon, Sungwook Yu, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Sin Gon Kim, Yousung Park, Nam Hoon Kim
Diabetes & Metabolism Journal.2018; 42(5): 394. CrossRef
Comparison of Adherence to Glimepiride/Metformin Sustained Release Once-daily Versus Glimepiride/Metformin Immediate Release BID Fixed-combination Therapy Using the Medication Event Monitoring System in Patients With Type 2 Diabetes
Jong-Dai Kim, Cheol-Young Park, Bong-Yun Cha, Kyu Jeung Ahn, In Joo Kim, Kyong Soo Park, Hyung Woo Lee, Kyung-Wan Min, Jong Chul Won, Min Young Chung, Jae-Taek Kim, Jun Goo Kang, Sung-Woo Park
Clinical Therapeutics.2018; 40(5): 752. CrossRef
Negative Association of Hepatitis B Virus With Hearing Impairment
SKM Azizul Islam, Jin Wook Chung, Young-Sil Lee, HoChan Cho, Seong-Su Moon
American Journal of Audiology.2018; 27(3): 324. CrossRef
The effectiveness, reproducibility, and durability of tailored mobile coaching on diabetes management in policyholders: A randomized, controlled, open-label study
Da Young Lee, Jeongwoon Park, Dooah Choi, Hong-Yup Ahn, Sung-Woo Park, Cheol-Young Park
Scientific Reports.2018;[Epub] CrossRef
Prediction of Type 2 Diabetes Remission after Bariatric or Metabolic Surgery
Ji Yeon Park
Journal of Obesity & Metabolic Syndrome.2018; 27(4): 213. 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
Prediction of Diabetes Remission after Bariatric or Metabolic Surgery
Ji Yeon Park
Journal of Metabolic and Bariatric Surgery.2018; 7(1): 22. CrossRef
Detrimental Effects of Higher Body Mass Index and Smoking Habits on Menstrual Cycles in Korean Women
An Na Jung, Ju Hwan Park, Jihyun Kim, Seok Hyun Kim, Byung Chul Jee, Byung Heun Cha, Jae Woong Sull, Jin Hyun Jun
Journal of Women's Health.2017; 26(1): 83. CrossRef
Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: a nationwide study (2006–2013)
Chang Hee Jung, Jin Ook Chung, Kyungdo Han, Seung-Hyun Ko, Kyung Soo Ko, Joong-Yeol Park
Cardiovascular Diabetology.2017;[Epub] CrossRef
The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156. CrossRef
Euglycemic Diabetic Ketoacidosis When Reducing Insulin Dosage in Patients Taking Sodium Glucose Cotransporter 2 Inhibitor
Woo Jin Yi, Soo-Kyung Kim, Sun Ung Youn, Namkyu Kang, Myung Won Lee, Seok O Park
The Ewha Medical Journal.2017; 40(1): 55. CrossRef
Effectiveness of Vildagliptin in Clinical Practice: Pooled Analysis of Three Korean Observational Studies (the VICTORY Study)
Sunghwan Suh, Sun Ok Song, Jae Hyeon Kim, Hyungjin Cho, Woo Je Lee, Byung-Wan Lee
Journal of Diabetes Research.2017; 2017: 1. CrossRef
Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey
Hee Yeon Kim, Tae Seo Sohn, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Seong Cheol Jeong, Mihee Hong, Hiun Suk Chae
The Korean Journal of Internal Medicine.2017; 32(4): 682. CrossRef
Delay of insulin initiation in patients with type 2 diabetes mellitus inadequately controlled with oral hypoglycemic agents (analysis of patient‐ and physician‐related factors): A prospective observational DIPP‐FACTOR study in Korea
Sin Gon Kim, Nam Hoon Kim, Bon Jeong Ku, Ho Sang Shon, Doo Man Kim, Tae Sun Park, Yong‐Seong Kim, In Joo Kim, Dong Seop Choi
Journal of Diabetes Investigation.2017; 8(3): 346. CrossRef
Effectiveness and safety of exenatide in Korean patients with type 2 diabetes inadequately controlled with oral hypoglycemic agents: an observational study in a real clinical practice
You-Cheol Hwang, Ari Kim, Euna Jo, Yeoree Yang, Jae-Hyoung Cho, Byung-Wan Lee
BMC Endocrine Disorders.2017;[Epub] 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
Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
Medicine.2016; 95(27): e4018. CrossRef
A patient-centric approach to optimise insulin therapy in Asia
Su Yen Goh, Ernesto Ang, Shailendra Bajpai, Chaicharn Deerochanawong, Eun-Gyoung Hong, Zanariah Hussein, Shashank Joshi, Nor Azmi Kamaruddin, Sjoberg Kho, Alice Pik-Shan Kong, Chang Yu Pan, Riccardo Perfetti, Apichati Vichayanrat, Aleksandra Vlajnic, Juli
Journal of Diabetes and its Complications.2016; 30(6): 973. CrossRef
Association between blood glucose level derived using the oral glucose tolerance test and glycated hemoglobin level
Hyoung Joo Kim, Young Geon Kim, Jin Soo Park, Young Hwan Ahn, Kyoung Hwa Ha, Dae Jung Kim
The Korean Journal of Internal Medicine.2016; 31(3): 535. 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
Factors Associated with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: The Fifth Korea National Health and Nutrition Examination Survey (2010-2012)
Jinhyun Park, Seungji Lim, Eunshil Yim, Youngdae Kim, Woojin Chung
Health Policy and Management.2016; 26(2): 125. CrossRef
Reduction of Sulfonylurea with the Initiation of Basal Insulin in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Undergoing Long-Term Sulfonylurea-Based Treatment
Yeoree Yang, Jeong-Ah Shin, Hae Kyung Yang, Seung-Hwan Lee, Seung-Hyun Ko, Yu-Bae Ahn, Kun-Ho Yoon, Jae-Hyoung Cho
Diabetes & Metabolism Journal.2016; 40(6): 454. CrossRef
Health inequalities in hypertension and diabetes management among the poor in urban areas: a population survey analysis in south Korea
Young-Jee Jeon, Chung Reen Kim, Joo-Sung Park, Kyung-Hyun Choi, Myoung Joo Kang, Seung Guk Park, Young-Jin Park
BMC Public Health.2016;[Epub] CrossRef
Prediction of Diabetes Remission in Morbidly Obese Patients After Roux-en-Y Gastric Bypass
Ji Yeon Park, Yong Jin Kim
Obesity Surgery.2016; 26(4): 749. CrossRef
Inhibition of advanced glycation end product formation by burdock root extract
Darye Lee, Choon Young Kim
Journal of Nutrition and Health.2016; 49(4): 233. CrossRef
Diabetes in Asians
Eun-Jung Rhee
Endocrinology and Metabolism.2015; 30(3): 263. CrossRef
Insulin Initiation in Insulin-Naïve Korean Type 2 Diabetic Patients Inadequately Controlled on Oral Antidiabetic Drugs in Real-World Practice: The Modality of Insulin Treatment Evaluation Study
Sang Soo Kim, In Joo Kim, Yong Ki Kim, Kun Ho Yoon, Ho Young Son, Sung Woo Park, Yeon Ah Sung, Hong Sun Baek
Diabetes & Metabolism Journal.2015; 39(6): 481. CrossRef
Current status of glucose, blood pressure and lipid management in type 2 diabetes clinic attendees in Isfahan, Iran
Mohsen Janghorbani, Bahman Papi, Masoud Amini
Journal of Diabetes Investigation.2015; 6(6): 716. CrossRef
Trends in the Diabetes Epidemic in Korea
Kyoung Hwa Ha, Dae Jung Kim
Endocrinology and Metabolism.2015; 30(2): 142. CrossRef
The Side Effects of Sodium Glucose Cotransporter 2 (SGLT2) Inhibitor
Won Jin Kim, Sang Soo Kim
The Journal of Korean Diabetes.2014; 15(3): 158. 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
Association between Diabetes Education Status and Clinical Outcomes of Patients with Diabetes Mellitus: Analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V)
Jun Sung Kwon, Won Jun Kim, Yang Hee Han, Hyun Joong Kim, Sa Young Shin, Kyoo Ho Choi, Jae Hyuck Jun, Myoung Sook Shim, Jin Yeob Kim
The Journal of Korean Diabetes.2014; 15(4): 236. CrossRef

Prevalence and Clinical Characteristics of Aspirin Resistance in the Patients with Type 2 Diabetes Mellitus.: Mi Yeon Kang, Young Min Cho, Hyun Kyung Kim, Jee Hyun An, Hwa Young Ahn, Ji Won Yoon, Hoon Sung Choi, Jie Seon Lee, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee; Korean Diabetes J. 2008;32(1):53-59. Published online February 1, 2008; DOI: https://doi.org/10.4093/kdj.2008.32.1.53

2,769 View
29 Download
3 Crossref

Abstract PDF

BACKGROUND
We examined the prevalence and clinical characteristics of aspirin resistance in the Korean patients with type 2 diabetes mellitus. METHODS: We studied 181 Korean patients with type 2 diabetes mellitus who were taking aspirin (100 mg/day for > or = 3 months) and no other antiplatelet agents. The VerifyNow System was used to determine aspirin responsiveness. Aspirin resistance was defined as an aspirin reaction unit (ARU) > or = 550. We measured the cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI) to evaluate arteriosclerosis. The anthropometric parameters, electrocardiogram, blood pressure, fasting plasma glucose, lipid profiles, hemoglobin A1c, highly sensitive C-reactive protein (hsCRP), homocysteine, and microalbuminuria were measured in each patient. RESULTS: The prevalence of aspirin resistance in type 2 diabetic patients was 9.4% (17 of 181). Those who had aspirin resistance were older than those without aspirin resistance (64.6 +/- 10.6 vs. 59.8 +/- 8.1, P = 0.024). Aspirin resistance was not associated with fasting plasma glucose, total cholesterol, triglyceride, LDL-cholesterol, HDL-cholesterol, hemoglobin A1c, hsCRP, homocysteine, microalbuminuria, ABI, CAVI, and body mass index. CONCLUSION: Prevalence of aspirin resistance in the Korean patients with type 2 diabetes mellitus was 9.4%. Although aspirin resistance was associated with old age, we could not find any good clinical parameter to predict it. Therefore, aspirin resistance should be evaluated in diabetic patients taking aspirin for prevention of cardiovascular complications.

Citations

Citations to this article as recorded by

Long Non-Coding RNA H19 Positively Associates With Aspirin Resistance in the Patients of Cerebral Ischemic Stroke
Jue Wang, Bin Cao, Yan Gao, Dong Han, Haiping Zhao, Yuhua Chen, Yumin Luo, Juan Feng, Yanxia Guo
Frontiers in Pharmacology.2020;[Epub] CrossRef
6^th Asian PAD Workshop

Annals of Vascular Diseases.2015; 8(2): 135. CrossRef
Non-HDL cholesterol is an independent risk factor for aspirin resistance in obese patients with type 2 diabetes
Jong Dai Kim, Cheol-Young Park, Kue Jeong Ahn, Jae Hyoung Cho, Kyung Mook Choi, Jun Goo Kang, Jae Hyeon Kim, Ki Young Lee, Byung Wan Lee, Ji Oh Mok, Min Kyong Moon, Joong Yeol Park, Sung Woo Park
Atherosclerosis.2014; 234(1): 146. CrossRef

First
Prev
Page of 1
Next
Last

Search