Diabetes & Metabolism Journal

Short Communication

Drug/Regimen
The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-World Data Study: Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek; Diabetes Metab J. 2023;47(1):135-139. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0373

7,549 View
296 Download

Abstract PDF Supplementary Material PubReader ePub: We compared the glycemic efficacy of treatment intensification between quadruple oral antidiabetic drug therapy and once-weekly glucagon-like peptide-1 receptor agonist (GLP-1RA)-based triple therapy in patients with poorly controlled type 2 diabetes mellitus refractory to triple oral therapy. For 24 weeks, changes in glycosylated hemoglobin (HbA1c) from baseline were compared between the two treatment groups. Of all 96 patients, 50 patients were treated with quadruple therapy, and 46 were treated with GLP-1RA therapy. Reductions in HbA1c for 24 weeks were comparable (in both, 1.1% reduction from baseline; P=0.59). Meanwhile, lower C-peptide level was associated with a lower glucose-lowering response of GLP-1RA therapy (R=0.3, P=0.04) but not with quadruple therapy (R=–0.13, P=0.40). HbA1c reduction by GLP-1RA therapy was inferior to that by quadruple therapy in the low C-peptide subgroup (mean, –0.1% vs. –1.3%; P=0.04). Treatment intensification by switching to quadruple oral therapy showed similar glucose-lowering efficacy to weekly GLP-1RA-based triple therapy. Meanwhile, the therapeutic response was affected by C-peptide levels in the GLP-1RA therapy group but not in the quadruple therapy group.

Original Article

Epidemiology
Insulin Resistance and the Risk of Diabetes and Dysglycemia in Korean General Adult Population: Jong Ha Baek, Hosu Kim, Kyong Young Kim, Jaehoon Jung; Diabetes Metab J. 2018;42(4):296-307. Published online April 24, 2018; DOI: https://doi.org/10.4093/dmj.2017.0106

6,666 View
142 Download
21 Web of Science
24 Crossref

Abstract PDF Supplementary Material PubReader

Background

Insulin resistance is a major pathogenic hallmark of impaired glucose metabolism. We assessed the accuracy of insulin resistance and cut-off values using homeostasis model assessment of insulin resistance (HOMA-IR) to classify type 2 diabetes mellitus (T2DM) and dysglycemia according to age and sex.

Methods

In this cross-sectional study, we analyzed 4,291 anti-diabetic drug-naïve adults (≥20 years) from the 6th Korea National Health and Nutrition Examination Survey in 2015. Metabolic syndrome (MetS) was defined by the modified National Cholesterol Education Program III guideline. Diagnosis of dysglycemia and T2DM were based on fasting glucose and glycosylated hemoglobin levels. The receiver operating characteristic curve and optimal cut-off values of HOMA-IR were assessed to identify T2DM/dysglycemia according to sex and were further analyzed by age.

Results

Sex differences were found in the association of MetS and the different MetS components with T2DM/dysglycemia. The overall optimal cut-off value of HOMA-IR for identifying dysglycemia was 1.6 in both sex. The cut-off values for T2DM were 2.87 in men and 2.36 in women. However, there are differences in diagnostic range of HOMA-IR to distinguish T2DM according to sex and age, and the accuracy of HOMA-IR in identifying T2DM gradually decreased with age especially in women.

Conclusion

Insulin resistance is closely associated with the risk for T2DM/dysglycemia. The accuracy of HOMA-IR levels is characterized by sex- and age-specific differences in identifying T2DM. In addition to insulin resistance index, insulin secretory function, and different MetS components should be considered in the detection of early T2DM, especially in elderly.

Citations

Citations to this article as recorded by

Evaluation of insulin secretion and insulin sensitivity in pregnant women: Application value of simple indices
Shuying Ren, Dan Wu, Ping Li
Clinica Chimica Acta.2024; 554: 117753. CrossRef
Association between birth weight and insulin resistance in US adolescents: A retrospective cohort study exploring the role of concurrent body mass index
Yubo Zhuo, Jieli He, Liangbing Wang, Chun Bong Chow, Frederick K. Ho
Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(4): 1061. 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
Non-Alcoholic Fatty Liver Disease with Sarcopenia and Carotid Plaque Progression Risk in Patients with Type 2 Diabetes Mellitus
Yongin Cho, Hye-Sun Park, Byung Wook Huh, Yong-ho Lee, Seong Ha Seo, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, So Hun Kim
Diabetes & Metabolism Journal.2023; 47(2): 232. CrossRef
Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects
David Primo, Olatz Izaola, Daniel A. de Luis
Annals of Nutrition and Metabolism.2023; 79(2): 238. CrossRef
Triglyceride glucose index as a predictor of mortality in middle-aged and elderly patients with type 2 diabetes in the US
Mengjie Zhao, Mengli Xiao, Qin Tan, Fang Lu
Scientific Reports.2023;[Epub] CrossRef
Assessment HOMA as a predictor for new onset diabetes mellitus and diabetic complications in non-diabetic adults: a KoGES prospective cohort study
Jibeom Lee, Moon-hyun Kim, Ji-Yong Jang, Chang-Myung Oh
Clinical Diabetes and Endocrinology.2023;[Epub] CrossRef
Association between experience of insulin resistance and long-term cardiovascular disease risk: findings from the Korean Genome and Epidemiology Study (KOGES)
Jong Hee Lee, Hye Sun Lee, Soyoung Jeon, Yong-Jae Lee, Byoungjin Park, Jun-Hyuk Lee, Yu-Jin Kwon
Endocrine.2023;[Epub] CrossRef
Efficacy and safety of evogliptin in patients with type 2 diabetes and non‐alcoholic fatty liver disease: A multicentre, double‐blind, randomized, comparative trial
Eugene Han, Ji Hye Huh, Eun Y. Lee, Ji C. Bae, Sung W. Chun, Sung H. Yu, Soo H. Kwak, Kyong S. Park, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2022; 24(4): 752. CrossRef
Development and Validation of an Insulin Resistance Predicting Model Using a Machine-Learning Approach in a Population-Based Cohort in Korea
Sunmin Park, Chaeyeon Kim, Xuangao Wu
Diagnostics.2022; 12(1): 212. CrossRef
HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis
José G. González-González, Jorge R. Violante-Cumpa, Miguel Zambrano-Lucio, Erick Burciaga-Jimenez, Patricia L. Castillo-Morales, Mariano Garcia-Campa, Ricardo César Solis, Alejandro D González-Colmenero, René Rodríguez-Gutiérrez
High Blood Pressure & Cardiovascular Prevention.2022; 29(6): 547. CrossRef
A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction
Norma Latif Fitriyani, Muhammad Syafrudin, Siti Maghfirotul Ulyah, Ganjar Alfian, Syifa Latif Qolbiyani, Muhammad Anshari
Mathematics.2022; 10(21): 4027. CrossRef
Osteocalcin is associated with triglyceride glucose index rather than HOMA-IR in men with type 2 diabetes
Huijie Huang, Ai Wang, Li Cong, Yingjuan Zeng
Frontiers in Endocrinology.2022;[Epub] CrossRef
The insulin resistance by triglyceride glucose index and risk for dementia: population-based study
Sangmo Hong, Kyungdo Han, Cheol-Young Park
Alzheimer's Research & Therapy.2021;[Epub] CrossRef
Association between insulin resistance and lung function trajectory over 4 years in South Korea: community-based prospective cohort
Sang Hyuk Kim, Hyun Sam Kim, Hyang Ki Min, Sung Woo Lee
BMC Pulmonary Medicine.2021;[Epub] CrossRef
The triglyceride–glucose index is a more powerful surrogate marker for predicting the prevalence and incidence of type 2 diabetes mellitus than the homeostatic model assessment of insulin resistance
Hye Min Park, Hye Sun Lee, Yong-Jae Lee, Jun-Hyuk Lee
Diabetes Research and Clinical Practice.2021; 180: 109042. CrossRef
The effect of 1% glucose loading on metabolism in the elderly patients during remifentanil-induced anesthesia: a randomized controlled trial
Kohei Fukuta, Asuka Kasai, Noriko Niki, Yuki Ishikawa, Ryosuke Kawanishi, Nami Kakuta, Yoko Sakai, Yasuo M. Tsutsumi, Katsuya Tanaka
BMC Anesthesiology.2020;[Epub] CrossRef
Suppression of HDAC by sodium acetate rectifies cardiac metabolic disturbance in streptozotocin–nicotinamide-induced diabetic rats
Kehinde S Olaniyi, Oluwatobi A Amusa, Emmanuel D Areola, Lawrence A Olatunji
Experimental Biology and Medicine.2020; 245(7): 667. CrossRef
Non-alcoholic steatohepatitis and progression of carotid atherosclerosis in patients with type 2 diabetes: a Korean cohort study
Hyeok-Hee Lee, Yongin Cho, Young Ju Choi, Byung Wook Huh, Byung-Wan Lee, Eun Seok Kang, Seok Won Park, Bong-Soo Cha, Eun Jig Lee, Yong-ho Lee, Kap Bum Huh
Cardiovascular Diabetology.2020;[Epub] CrossRef
Triglyceride Glucose-Waist Circumference Better Predicts Coronary Calcium Progression Compared with Other Indices of Insulin Resistance: A Longitudinal Observational Study
Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Dong Hyun Yang, Joon-Won Kang, Chang Hee Jung, Joong-Yeol Park, Hong-Kyu Kim, Woo Je Lee
Journal of Clinical Medicine.2020; 10(1): 92. CrossRef
Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females
Liong Boy Kurniawan, Bachtiar Syamsir, Ilham Akbar Rahman, Endy Adnan, Tenri Esa, Yuyun Widaningsih, Uleng Bahrun, Mansyur Arif
Romanian Journal of Internal Medicine.2020; 58(3): 168. CrossRef
Effects of magnitude of visceral adipose tissue reduction: Impact on insulin resistance, hyperleptinemia and cardiometabolic risk in adolescents with obesity after long-term weight-loss therapy
Raquel Munhoz da Silveira Campos, Deborah Cristina Landi Masquio, Flávia Campos Corgosinho, Danielle Arisa Caranti, Aline de Piano Ganen, Lian Tock, Lila Missae Oyama, Ana Raimunda Dâmaso
Diabetes and Vascular Disease Research.2019; 16(2): 196. CrossRef
Mediation analysis of dietary habits, nutrient intakes, daily life in the relationship between working hours of Korean shift workers and metabolic syndrome : the sixth (2013 ~ 2015) Korea National Health and Nutrition Examination Survey
Yoona Kim, Hyeon Hee Kim, Dong Hoon Lim
Journal of Nutrition and Health.2018; 51(6): 567. CrossRef
The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean Genome and Epidemiology Study (KOGES)
Bongyoung Kim, Hyun Young Choi, Wonhee Kim, Chiwon Ahn, Juncheol Lee, Jae Guk Kim, Jihoon Kim, Hyungoo Shin, Jae Myung Yu, Shinje Moon, Taulant Muka
PLOS ONE.2018; 13(11): e0206994. CrossRef

First
Prev
Page of 1
Next
Last

Search