Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
18 "Yong-Moon Park"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Guideline/Fact Sheet
Article image
Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
Diabetes Metab J. 2023;47(5):643-652.   Published online August 7, 2023
DOI: https://doi.org/10.4093/dmj.2023.0041
  • 4,523 View
  • 291 Download
  • 9 Web of Science
  • 12 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated the prevalence and management of diabetes mellitus (DM) in elderly Korean patients based on data from the Korea National Health and Nutrition Examination Survey (KNHANES).
Methods
A total of 3,068 adults aged 65 years and older (19.8% of total population) were analyzed using KNHANES from 2019 to 2020. Prevalence, awareness, treatment, and control rates, and comorbidities were analyzed. Lifestyle behaviors and energy intake were also measured.
Results
The prevalence of DM and prediabetes was 29.6% and 50.5%, respectively. The awareness, treatment and control rates were 76.4%, 73.3%, and 28.3%, respectively. The control rate was 77.0% if A1C <7.5% criteria was used. The mean A1C value of individuals with known DM was 7.1%, and 14.5% of the known DM patients had A1C ≥8.0%. Abdominal obesity, hypertension, and hypercholesterolemia were combined with DM in 63.9%, 71.7%, and 70.7%, respectively, and the rate of integrated management was 36.0% (A1C <7.5% criteria). A total of 40.1% of those with DM walked regularly. The percentage of energy intake from carbohydrates was higher in those with DM than in those without DM (P=0.044), while those of fat (P=0.003) and protein (P=0.025) were lower in those with DM than in those without DM in women.
Conclusion
In 2019 to 2020, three of 10 adults aged 65 years and older in Korea had DM, and approximately 70% of them had comorbidities. A strategy for more individualized comprehensive care for the elderly patients with DM is urgently needed.

Citations

Citations to this article as recorded by  
  • Association Between High Blood Folate Levels and Glaucoma in a Representative Korean Population
    Ji Young Lee, Jin A. Choi, Sung Pyo Park, Donghyun Jee
    Investigative Opthalmology & Visual Science.2024; 65(1): 6.     CrossRef
  • Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms?
    Gyeong A Kang, Ju Young Yoon
    Public Health Nursing.2024; 41(5): 1006.     CrossRef
  • Holistic and Personalized Strategies for Managing in Elderly Type 2 Diabetes Patients
    Jae-Seung Yun, Kyuho Kim, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2024; 48(4): 531.     CrossRef
  • Association and interaction effect of shift work and the risk for obstructive sleep apnea on diabetes mellitus in middle-aged Korean workers
    Kyusung Kim, Hi-Ju Kim, Seunghyun Lee, Wanhyung Lee
    Sleep and Breathing.2024; 28(6): 2721.     CrossRef
  • Benefit and Safety of Sodium-Glucose Co-Transporter 2 Inhibitors in Older Patients with Type 2 Diabetes Mellitus
    Ja Young Jeon, Dae Jung Kim
    Diabetes & Metabolism Journal.2024; 48(5): 837.     CrossRef
  • National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005–2022
    Hyunjee Kim, Seoyoung Park, Jaeyu Park, Yejun Son, Soeun Kim, Yesol Yim, Hyesu Jo, Kyeongmin Lee, Yi Deun Jeong, Jiyeon Oh, Hanseul Cho, Damiano Pizzol, Jiyoung Hwang, Lee Smith, Dong Keon Yon
    Scientific Reports.2024;[Epub]     CrossRef
  • Changes in the Epidemiological Landscape of Diabetes in South Korea: Trends in Prevalence, Incidence, and Healthcare Expenditures
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2024; 39(5): 669.     CrossRef
  • Osteoporosis incidence and its associated factors in the older Korean population: findings from a population-based cohort study
    Tanmoy Das, Md Abdullah Al Jubayer Biswas, Prosanta Mondal, Sabuj Sarker, Hyun J.“June” Lim
    Archives of Osteoporosis.2024;[Epub]     CrossRef
  • Association of Uterine Leiomyoma with Type 2 Diabetes Mellitus in Young Women: A Population-Based Cohort Study
    Ji-Hee Sung, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
    Diabetes & Metabolism Journal.2024; 48(6): 1105.     CrossRef
  • Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021
    Seongju Kim, Dong Jun Kim, Hooyeon Lee, Dong Keon Yon
    PLOS ONE.2024; 19(11): e0313988.     CrossRef
  • Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
    Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
    Journal of Diabetes Investigation.2024;[Epub]     CrossRef
  • The Growing Challenge of Diabetes Management in an Aging Society
    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2023; 47(5): 630.     CrossRef
Guideline/Fact Sheet
Article image
Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey
Jong Ha Baek, Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko
Diabetes Metab J. 2023;47(2):201-210.   Published online February 8, 2023
DOI: https://doi.org/10.4093/dmj.2022.0375
  • 5,023 View
  • 263 Download
  • 7 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated the validity and reliability of the operational definition of type 2 diabetes mellitus (T2DM) based on the Korean National Health Insurance Service (NHIS) database.
Methods
Adult subjects (≥40 years old) included in the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2017 were merged with those from the NHIS health check-up database, producing a cross-sectional dataset. We evaluated the sensitivity, specificity, accuracy, and agreement of the NHIS criteria for defining T2DM by comparing them with the KNHANES criteria as a standard reference.
Results
In the study population (n=13,006), two algorithms were devised to determine from the NHIS dataset whether the diagnostic claim codes for T2DM were accompanied by prescription codes for anti-diabetic drugs (algorithm 1) or not (algorithm 2). Using these algorithms, the prevalence of T2DM was 14.9% (n=1,942; algorithm 1) and 20.8% (n=2,707; algorithm 2). Good reliability in defining T2DM was observed for both algorithms (Kappa index, 0.73 [algorithm 1], 0.63 [algorithm 2]). However, the accuracy (0.93 vs. 0.89) and specificity (0.96 vs. 0.90) tended to be higher for algorithm 1 than for algorithm 2. The validity (accuracy, ranging from 0.91 to 0.95) and reliability (Kappa index, ranging from 0.68 to 0.78) of defining T2DM by NHIS criteria were independent of age, sex, socioeconomic status, and accompanied hypertension or dyslipidemia.
Conclusion
The operational definition of T2DM based on population-based NHIS claims data, including diagnostic codes and prescription codes, could be a valid tool to identify individuals with T2DM in the Korean population.

Citations

Citations to this article as recorded by  
  • Metabolic dysfunction-associated fatty liver disease increases the risk of type 2 diabetes mellitus in young Korean adults
    Junchul Ha, Oak-Kee Hong, Kyungdo Han, Hyuk-Sang Kwon
    Diabetes Research and Clinical Practice.2024; 212: 111584.     CrossRef
  • Association between Age at Diagnosis of Type 2 Diabetes and Subsequent Risk of Dementia and Its Major Subtypes
    Da Hea Seo, Mina Kim, Yongin Cho, Seong Hee Ahn, Seongbin Hong, So Hun Kim
    Journal of Clinical Medicine.2024; 13(15): 4386.     CrossRef
  • Gamma‐glutamyl transferase and the risk of all‐cause and disease‐specific mortality in patients with diabetes: A nationwide cohort study
    Goh Eun Chung, Su‐Min Jeong, Su Jong Yu, Jeong‐Ju Yoo, Yuri Cho, Kyu‐na Lee, Dong Wook Shin, Yoon Jun Kim, Jung‐Hwan Yoon, Kyungdo Han, Eun Ju Cho
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Association between exercise habits and incident type 2 diabetes mellitus in patients with thyroid cancer: nationwide population-based study
    Jiyun Park, Jin-Hyung Jung, Hyunju Park, Young Shin Song, Soo-Kyung Kim, Yong-Wook Cho, Kyungdo Han, Kyung-Soo Kim
    BMC Medicine.2024;[Epub]     CrossRef
  • Association Between Benzene and Other Volatile Organic Compounds Exposure and Diabetes Mellitus Among Korean Adults: Findings from the Nationwide Biomonitoring Data
    Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
    Exposure and Health.2024;[Epub]     CrossRef
  • All-cause and cause-specific mortality risks in individuals with diabetes living alone: A large-scale population-based cohort study
    Jae-Seung Yun, Kyungdo Han, Bongseong Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Yu-Bae Ahn, Yong-Moon Mark Park, Seung-Hwan Lee
    Diabetes Research and Clinical Practice.2024; 217: 111876.     CrossRef
  • Association between alcohol consumption and risk of developing tuberculosis in patients with diabetes: a nationwide retrospective cohort study
    Chiwook Chung, Kyu Na Lee, Kyungdo Han, Junhee Park, Dong Wook Shin, Sei Won Lee
    Respiratory Research.2024;[Epub]     CrossRef
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
Metabolic Risk/Epidemiology
Article image
Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus
Soyeon Kang, Yong-Moon Park, Dong Jin Kwon, Youn-Jee Chung, Jeong Namkung, Kyungdo Han, Seung-Hyun Ko
Diabetes Metab J. 2022;46(4):578-591.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0135
  • 8,492 View
  • 254 Download
  • 4 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Estrogen promotes glucose homeostasis, enhances insulin sensitivity, and maintains counterregulatory responses in recurrent hypoglycemia in women of reproductive age. Postmenopausal women with type 2 diabetes mellitus (T2DM) might be more vulnerable to severe hypoglycemia (SH) events. However, the relationship between reproductive factors and SH occurrence in T2DM remains unelucidated.
Methods
This study included data on 181,263 women with postmenopausal T2DM who participated in a national health screening program from January 1 to December 31, 2009, obtained using the Korean National Health Insurance System database. Outcome data were obtained until December 31, 2018. Associations between reproductive factors and SH incidence were assessed using Cox proportional hazards models.
Results
During the mean follow-up of 7.9 years, 11,279 (6.22%) postmenopausal women with T2DM experienced SH episodes. A longer reproductive life span (RLS) (≥40 years) was associated with a lower SH risk compared to a shorter RLS (<30 years) (adjusted hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.69 to 0.80; P for trend <0.001) after multivariable adjustment. SH risk decreased with every 5-year increment of RLS (with <30 years as a reference [adjusted HR, 0.91; 95% CI, 0.86 to 0.95; P=0.0001 for 30−34 years], [adjusted HR, 0.80; 95% CI, 0.76 to 0.84; P<0.001 for 35−39 years], [adjusted HR, 0.74; 95% CI, 0.68 to 0.81; P<0.001 for ≥40 years]). The use of hormone replacement therapy (HRT) was associated with a lower SH risk than HRT nonuse.
Conclusion
Extended exposure to endogenous ovarian hormone during lifetime may decrease the number of SH events in women with T2DM after menopause.

Citations

Citations to this article as recorded by  
  • Association between serum copper level and reproductive health of Women in the United States: a cross-sectional study
    Yi Yuan, Tong-Yu Peng, Guang-Yuan Yu, Zhao Zou, Meng-Ze Wu, Ruofei Zhu, Shuang Wu, Zi Lv, Su-Xin Luo
    International Journal of Environmental Health Research.2024; 34(6): 2441.     CrossRef
  • Defining Continuous Glucose Monitor Time in Range in a Large, Community-Based Cohort Without Diabetes
    Nicole L Spartano, Naznin Sultana, Honghuang Lin, Huimin Cheng, Sophia Lu, David Fei, Joanne M Murabito, Maura E Walker, Howard A Wolpert, Devin W Steenkamp
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Reproductive Lifespan and Motor Progression of Parkinson’s Disease
    Ruwei Ou, Qianqian Wei, Yanbing Hou, Lingyu Zhang, Kuncheng Liu, Junyu Lin, Tianmi Yang, Jing Yang, Zheng Jiang, Wei Song, Bei Cao, Huifang Shang
    Journal of Clinical Medicine.2022; 11(20): 6163.     CrossRef
  • Menopause and development of Alzheimer’s disease: Roles of neural glucose metabolism and Wnt signaling
    Paulina Villaseca, Pedro Cisternas, Nibaldo C. Inestrosa
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
Metabolic Risk/Epidemiology
Article image
Importance of Awareness and Treatment for Diabetes in Influenza Vaccination Coverage of Diabetic Patients under 65 Years: A Population-Based Study
Yu Mi Ko, Seung Hyun Ko, Kyoungdo Han, Yong-Moon Park, Joon Young Choi, Shin Young Kim, So Hyang Song, Chi Hong Kim, Sung Kyoung Kim
Diabetes Metab J. 2021;45(1):55-66.   Published online May 29, 2020
DOI: https://doi.org/10.4093/dmj.2019.0189
  • 8,181 View
  • 153 Download
  • 8 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Influenza is a global public health problem causing considerable morbidity and mortality. Although vaccination is the most effective way to prevent infection, vaccination coverage is insufficient in people with chronic disease under 65 years, especially diabetes. The purpose of this study was to evaluate influenza vaccination coverage and identify factors associated with influenza vaccination in Korean diabetic adults under 65 years.

Methods

Data were obtained from 24,821 subjects in the Korea National Health and Nutrition Examination Survey (2014 to 2017). Socioeconomic, health-related, and diabetic factors were investigated for their relations with influenza vaccination in diabetic patients under 65 years using univariate and multivariate analyses.

Results

Among 24,821 subjects, 1,185 were diabetic patients under 65 years and their influenza vaccination rate was 36.5%. Socioeconomic (older age, female gender, non-smoker, light alcohol drinker, lower educational level, and employed status), health-related factors (lower fasting glucose and glycosylated hemoglobin level, good self-perceived health status, more comorbidities, recent health screening, more outpatient visits, and diet therapy), and diabetic factors (more awareness and getting treated) were associated with influenza vaccination. In multivariate analysis, more awareness and getting treated for diabetes were associated with influenza vaccination in diabetic patients under 65 years (odds ratio, 1.496 and 1.413; 95% confidence interval, 1.022 to 2.188 and 1.018 to 2.054, respectively).

Conclusion

Influenza vaccination rate was low in diabetic patients under 65 years, especially in those with unawareness and not getting treated for diabetes. Active screening and treatment for diabetes may be helpful to improve the influenza vaccination rate in these patients.

Citations

Citations to this article as recorded by  
  • Prevalence, awareness, treatment and control of type 2 diabetes in southeast China: A population‐based study
    Xiangju Hu, Xin Fang, Minxia Wu
    Journal of Diabetes Investigation.2024; 15(8): 1034.     CrossRef
  • Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia: A multicenter retrospective study
    Saleh Fahad Alqifari, Aya K Esmail, Dalal M Alarifi, Ghalya Y Alsuliman, Maram M Alhati, May R Mutlaq, Mohammed Aldhaeefi, Shaden A Alshuaibi, Palanisamy Amirthalingam, Abrar Abdallah, Afaf S Wasel, Heba R Hamad, Shoroq Alamin, Tasneem H Atia, Tariq Alqah
    World Journal of Diabetes.2024; 15(3): 440.     CrossRef
  • ЕГДЕ ЖАСТАҒЫ АДАМДАРДА COVID-19 ВАКЦИНАЦИЯСЫНЫҢ ТИІМДІЛІГІ
    Ю.Р. АБДУСАТТАРОВА, Д.С. ӘБЕН, Н. АБДОЛЛА, Р.Т. ТЛЕУЛИЕВА, А. КАЛИ, Ю.В. ПЕРФИЛЬЕВА
    Vestnik.2023; (2(65)): 48.     CrossRef
  • Comorbidities associated with high-risk obstructive sleep apnea based on the STOP-BANG questionnaire: a nationwide population-based study
    Gene Huh, Kyoung do Han, Yong-Moon Park, Chan-Soon Park, Kyu-na Lee, Eun Young Lee, Jung-Hae Cho
    The Korean Journal of Internal Medicine.2023; 38(1): 80.     CrossRef
  • Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database
    Dong-Hwa Lee, Bumhee Yang, Seonhye Gu, Eung-Gook Kim, Youlim Kim, Hyung Koo Kang, Yeong Hun Choe, Hyun Jeong Jeon, Seungyong Park, Hyun Lee
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Factors associated with seasonal influenza immunization in people with chronic diseases
    Slađana Arsenović, Tatjana Gazibara
    Medicinski podmladak.2021; 72(2): 19.     CrossRef
Short Communication
Epidemiology
Associations between Breastfeeding and Type 2 Diabetes Mellitus and Glycemic Control in Parous Women: A Nationwide, Population-Based Study
Ga Eun Nam, Kyungdo Han, Do-Hoon Kim, Youn Huh, Byoungduck Han, Sung Jung Cho, Yong Gyu Park, Yong-Moon Park
Diabetes Metab J. 2019;43(2):236-241.   Published online December 21, 2018
DOI: https://doi.org/10.4093/dmj.2018.0044
  • 4,796 View
  • 53 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   

We investigated associations between breastfeeding duration and number of children breastfed and type 2 diabetes mellitus (T2DM) and glycemic control among parous women. We performed a cross-sectional analysis of data for 9,960 parous women from the Korea National Health and Nutritional Examination Survey (2010 to 2013). Having ever breastfed was inversely associated with prevalent T2DM (adjusted odds ratio [OR], 0.60; 95% confidence interval [CI], 0.42 to 0.87). All ranges of total and average breastfeeding duration showed inverse associations with T2DM. Even short periods of breastfeeding were inversely associated with T2DM (adjusted OR, 0.61; 95% CI, 0.38 to 0.99 for a total breastfeeding duration ≤12 months; adjusted OR, 0.65; 95% CI, 0.42 to 0.99 for an average breastfeeding duration per child ≤6 months). A longer duration of breastfeeding was associated with better glycemic control in parous women with T2DM (P trend=0.004 for total breastfeeding duration; P trend <0.001 for average breastfeeding duration per child). Breastfeeding may be associated with a lower risk of T2DM and good glycemic control in parous women with T2DM. Breastfeeding may be a feasible method to prevent T2DM and improve glycemic control.

Citations

Citations to this article as recorded by  
  • Association of Childbirth and Breastfeeding with Diabetes Mellitus in Korean Women
    Seulkee Kim, So Yeon Ryu
    Journal of Health Informatics and Statistics.2024; 49(2): 109.     CrossRef
  • Integration of nutrigenomics, melatonin, serotonin and inflammatory cytokines in the pathophysiology of pregnancy-specific urinary incontinence in women with gestational diabetes mellitus
    Danielle Cristina Honorio França, Eduardo Luzía França, Luis Sobrevia, Angélica Mércia Pascon Barbosa, Adenilda Cristina Honorio-França, Marilza Vieira Cunha Rudge
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(6): 166737.     CrossRef
  • Association of lactation with maternal risk of type 2 diabetes: A systematic review and meta‐analysis of observational studies
    Ana‐Catarina Pinho‐Gomes, Georgia Morelli, Alexandra Jones, Mark Woodward
    Diabetes, Obesity and Metabolism.2021; 23(8): 1902.     CrossRef
  • Updates in Gestational Diabetes Prevalence, Treatment, and Health Policy
    Laura T. Dickens, Celeste C. Thomas
    Current Diabetes Reports.2019;[Epub]     CrossRef
Original Articles
Complications
Cardiovascular Autonomic Neuropathy Predicts Higher HbA1c Variability in Subjects with Type 2 Diabetes Mellitus
Yeoree Yang, Eun-Young Lee, Jae-Hyoung Cho, Yong-Moon Park, Seung-Hyun Ko, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Seung-Hwan Lee
Diabetes Metab J. 2018;42(6):496-512.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0026
  • 5,034 View
  • 50 Download
  • 10 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

This study aimed to investigate the association between the presence and severity of cardiovascular autonomic neuropathy (CAN) and development of long-term glucose fluctuation in subjects with type 2 diabetes mellitus.

Methods

In this retrospective cohort study, subjects with type 2 diabetes mellitus who received cardiovascular autonomic reflex tests (CARTs) at baseline and at least 4-year of follow-up with ≥6 measures of glycosylated hemoglobin (HbA1c) were included. The severity of CAN was categorized as normal, early, or severe CAN according to the CARTs score. HbA1c variability was measured as the standard deviation (SD), coefficient of variation, and adjusted SD of serial HbA1c measurements.

Results

A total of 681 subjects were analyzed (294 normal, 318 early, and 69 severe CAN). The HbA1c variability index values showed a positive relationship with the severity of CAN. Multivariable logistic regression analysis showed that CAN was significantly associated with the risk of developing higher HbA1c variability (SD) after adjusting for age, sex, body mass index, diabetes duration, mean HbA1c, heart rate, glomerular filtration rate, diabetic retinopathy, coronary artery disease, insulin use, and anti-hypertensive medication (early CAN: odds ratio [OR], 1.65; 95% confidence interval [CI], 1.12 to 2.43) (severe CAN: OR, 2.86; 95% CI, 1.47 to 5.56). This association was more prominent in subjects who had a longer duration of diabetes (>10 years) and lower mean HbA1c (<7%).

Conclusion

CAN is an independent risk factor for future higher HbA1c variability in subjects with type 2 diabetes mellitus. Tailored therapy for stabilizing glucose fluctuation should be emphasized in subjects with CAN.

Citations

Citations to this article as recorded by  
  • Intensified glycemic control by HbA1c for patients with coronary heart disease and Type 2 diabetes: a review of findings and conclusions
    Jingyang Chen, Dong Yin, Kefei Dou
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Long-Term Risk of Cardiovascular Disease Among Type 2 Diabetes Patients According to Average and Visit-to-Visit Variations of HbA1c Levels During the First 3 Years of Diabetes Diagnosis
    Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Factors Associated with Diabetic Complication Index among Type 2 Diabetes Patients: Focusing on Regular Outpatient Follow-up and HbA1c Variability
    Haejung Lee, Gaeun Park, Ah Reum Khang
    Asian Nursing Research.2023; 17(5): 259.     CrossRef
  • The Association of Postprandial Triglyceride Variability with Renal Dysfunction and Microalbuminuria in Patients with Type 2 Diabetic Mellitus: A Retrospective and Observational Study
    Natsumi Matsuoka-Uchiyama, Haruhito A. Uchida, Shugo Okamoto, Yasuhiro Onishi, Katsuyoshi Katayama, Mariko Tsuchida-Nishiwaki, Hidemi Takeuchi, Rika Takemoto, Yoshiko Hada, Ryoko Umebayashi, Naoko Kurooka, Kenji Tsuji, Jun Eguchi, Hirofumi Nakajima, Kenic
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Perspectives of glycemic variability in diabetic neuropathy: a comprehensive review
    Xiaochun Zhang, Xue Yang, Bao Sun, Chunsheng Zhu
    Communications Biology.2021;[Epub]     CrossRef
  • Assessment of Functions of the Autonomic Nervous System in the Elderly with Different Comorbid Factors
    Sushma S., Medha Y. Rao, Shaikh Mohammed Aslam
    Journal of Neurosciences in Rural Practice.2020; 12: 80.     CrossRef
  • Prognostic irrelevance of plaque vulnerability following plaque sealing in high-risk patients with type 2 diabetes: an optical coherence tomography study
    Rosalia Dettori, Andrea Milzi, Kathrin Burgmaier, Mohammad Almalla, Martin Hellmich, Nikolaus Marx, Sebastian Reith, Mathias Burgmaier
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • HbA1C Variability Is Strongly Associated With the Severity of Cardiovascular Autonomic Neuropathy in Patients With Type 2 Diabetes After Longer Diabetes Duration
    Yun-Ru Lai, Chih-Cheng Huang, Wen-Chan Chiu, Rue-Tsuan Liu, Nai-Wen Tsai, Hung-Chen Wang, Wei-Che Lin, Ben-Chung Cheng, Yu-Jih Su, Chih-Min Su, Sheng-Yuan Hsiao, Pei-Wen Wang, Jung-Fu Chen, Cheng-Hsien Lu
    Frontiers in Neuroscience.2019;[Epub]     CrossRef
  • Polyscore of Non-invasive Cardiac Risk Factors
    Alexander Steger, Alexander Müller, Petra Barthel, Michael Dommasch, Katharina Maria Huster, Katerina Hnatkova, Daniel Sinnecker, Alexander Hapfelmeier, Marek Malik, Georg Schmidt
    Frontiers in Physiology.2019;[Epub]     CrossRef
Epidemiology
Serum Betatrophin Concentrations and the Risk of Incident Diabetes: A Nested Case-Control Study from Chungju Metabolic Disease Cohort
Seung-Hwan Lee, Marie Rhee, Hyuk-Sang Kwon, Yong-Moon Park, Kun-Ho Yoon
Diabetes Metab J. 2018;42(1):53-62.   Published online November 3, 2017
DOI: https://doi.org/10.4093/dmj.2018.42.1.53
  • 4,341 View
  • 58 Download
  • 8 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   
Background

Betatrophin is a newly identified hormone derived from the liver and adipose tissue, which has been suggested to regulate glucose and lipid metabolism. Circulating levels of betatrophin are altered in various metabolic diseases, although the results are inconsistent. We aimed to examine whether betatrophin is a useful biomarker in predicting the development of diabetes.

Methods

A nested case-control study was performed using a prospective Chungju Metabolic disease Cohort Study. During a 4-year follow-up period, we analyzed 167 individuals who converted to diabetes and 167 non-converters, who were matched by age, sex, and body mass index. Serum betatrophin levels were measured by an ELISA (enzyme-linked immunosorbent assay).

Results

Baseline serum betatrophin levels were significantly higher in the converter group compared to the non-converter group (1,315±598 pg/mL vs. 1,072±446 pg/mL, P<0.001). After adjusting for age, sex, body mass index, fasting plasma glucose, systolic blood pressure, total cholesterol, and family history of diabetes, the risk of developing diabetes showed a stepwise increase across the betatrophin quartile groups. Subjects in the highest baseline quartile of betatrophin levels had more than a threefold higher risk of incident diabetes than the subjects in the lowest quartile (relative risk, 3.275; 95% confidence interval, 1.574 to 6.814; P=0.010). However, no significant relationships were observed between serum betatrophin levels and indices of insulin resistance or β-cell function.

Conclusion

Circulating levels of betatrophin could be a potential biomarker for predicting new-onset diabetes. Further studies are needed to understand the underlying mechanism of this association.

Citations

Citations to this article as recorded by  
  • Maternal and cord blood betatrophin (angiopoietin‐like protein 8) in pregnant women with gestational diabetes and normoglycemic controls: A systematic review, meta‐analysis, and meta‐regression
    Faustino R. Pérez‐López, Junhua Yuan, Manuel Sánchez‐Prieto, María T. López‐Baena, Gonzalo R. Pérez‐Roncero, Seshadri Reddy Varikasuvu
    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
  • Evaluation of Adiponectin and ANGPTL8 in Women With Metabolic Syndrome in the Madinah Region of Saudi Arabia
    Walaa Mohammedsaeed, Ahmed Ahmed, Nada Alharbi, Amjaad Aljohani, Razan Alruwaithi, Reem Alharbi, Shatha Alahmadi
    Cureus.2023;[Epub]     CrossRef
  • Associations Between Betatrophin with Irisin and Metabolic Factors: Effects of Two Exercise Trainings in Diabetic Rats
    Hassan Tavassoli, Ali Heidarianpour
    The American Journal of the Medical Sciences.2021; 362(5): 496.     CrossRef
  • Evidences for Expression and Location of ANGPTL8 in Human Adipose Tissue
    Leonardo Catalano-Iniesta, Virginia Sánchez Robledo, María Carmen Iglesias-Osma, Amparo Galán Albiñana, Sixto Carrero, Enrique J. Blanco, Marta Carretero-Hernández, José Carretero, María José García-Barrado
    Journal of Clinical Medicine.2020; 9(2): 512.     CrossRef
  • Higher circulating levels of ANGPTL8 are associated with body mass index, triglycerides, and endothelial dysfunction in patients with coronary artery disease
    Reza Fadaei, Hossein Shateri, Johanna K. DiStefano, Nariman Moradi, Mohammad Mohammadi, Farzad Emami, Hassan Aghajani, Nasrin Ziamajidi
    Molecular and Cellular Biochemistry.2020; 469(1-2): 29.     CrossRef
  • Effects of a diet with or without physical activity on angiopoietin-like protein 8 concentrations in overweight/obese patients with newly diagnosed type 2 diabetes: a randomized controlled trial
    Hao Hu, Guoyue Yuan, Xinchen Wang, Jin Sun, Zhaohua Gao, Tingting Zhou, Wenwen Yin, Ruonan Cai, Xing Ye, Zhaoling Wang
    Endocrine Journal.2019; 66(1): 89.     CrossRef
  • The potential role of angiopoietin-like protein-8 in type 2 diabetes mellitus: a possibility for predictive diagnosis and targeted preventive measures?
    Yasmine Amr Issa, Samar Samy Abd ElHafeez, Noha Gaber Amin
    EPMA Journal.2019; 10(3): 239.     CrossRef
  • A Short Review on ANGPTL-8 as an Important Regulator in Diabetes
    Maryam Esfahani, Mohammad Taghi Goodarzi
    Avicenna Journal of Medical Biochemistry.2019; 7(2): 61.     CrossRef
Complications
Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
Diabetes Metab J. 2016;40(6):482-493.   Published online October 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.482
  • 5,419 View
  • 72 Download
  • 33 Web of Science
  • 37 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We investigated clinical course and risk factors for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 759 patients with T2DM without DR were included from January 2001 to December 2004. Retinopathy evaluation was performed at least annually by ophthalmologists. The severity of the DR was classified into five categories according to the International Clinical Diabetic Retinopathy Severity Scales.

Results

Of the 759 patients, 523 patients (68.9%) completed the follow-up evaluation. During the follow-up period, 235 patients (44.9%) developed DR, and 32 patients (13.6%) progressed to severe nonproliferative DR (NPDR) or proliferative DR (PDR). The mean duration of diabetes at the first diagnosis of mild NPDR, moderate NPDR, and severe NPDR or PDR were 14.8, 16.7, and 17.3 years, respectively. After adjusting multiple confounding factors, the significant risk factors for the incidence of DR risk in patients with T2DM were old age, longer duration of diabetes, higher mean glycosylated hemoglobin (HbA1c), and albuminuria. Even in the patients who had been diagnosed with diabetes for longer than 10 years at baseline, a decrease in HbA1c led to a significant reduction in the risk of developing DR (hazard ratio, 0.73 per 1% HbA1c decrement; 95% confidence interval, 0.58 to 0.91; P=0.005).

Conclusion

This prospective cohort study demonstrates that glycemic control, diabetes duration, age, and albuminuria are important risk factors for the development of DR. More aggressive retinal screening for T2DM patients diagnosed with DR should be required in order to not miss rapid progression of DR.

Citations

Citations to this article as recorded by  
  • Influence of quitting smoking on diabetes-related complications: A scoping review with a systematic search strategy
    Magdalena Walicka, Arkadiusz Krysiński, Giusy Rita Maria La Rosa, Ang Sun, Davide Campagna, Agostino Di Ciaula, Tabinda Dugal, Andre Kengne, Phuong Le Dinh, Anoop Misra, Riccardo Polosa, Syed Abbas Raza, Cristina Russo, Roberta Sammut, Noel Somasundaram
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(5): 103044.     CrossRef
  • Scoring and validation of a simple model for predicting diabetic retinopathy in patients with type 2 diabetes based on a meta-analysis approach of 21 cohorts
    Hang Guo, Fei Han, Jing-Ru Qu, Cong-qing Pan, Bei Sun, Li-Ming Chen
    Annals of Medicine.2024;[Epub]     CrossRef
  • Prevalence of diabetes and its correlates among Iranian adults: Results of the first phase of Shahedieh cohort study
    Ali Dehghani, Hamid Korozhdehi, Saeid Hossein Khalilzadeh, Hossein Fallahzadeh, Vahid Rahmanian
    Health Science Reports.2023;[Epub]     CrossRef
  • Deep learning-based fundus image analysis for cardiovascular disease: a review
    Symon Chikumba, Yuqian Hu, Jing Luo
    Therapeutic Advances in Chronic Disease.2023;[Epub]     CrossRef
  • Effect of anticoagulant/antiplatelet therapy on the development and progression of diabetic retinopathy
    Chi-Juei Jeng, Yi-Ting Hsieh, Cheng-Li Lin, I-Jong Wang
    BMC Ophthalmology.2022;[Epub]     CrossRef
  • A deep learning model for screening type 2 diabetes from retinal photographs
    Jae-Seung Yun, Jaesik Kim, Sang-Hyuk Jung, Seon-Ah Cha, Seung-Hyun Ko, Yu-Bae Ahn, Hong-Hee Won, Kyung-Ah Sohn, Dokyoon Kim
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(5): 1218.     CrossRef
  • Risk factor analysis and clinical decision tree model construction for diabetic retinopathy in Western China
    Yuan-Yuan Zhou, Tai-Cheng Zhou, Nan Chen, Guo-Zhong Zhou, Hong-Jian Zhou, Xing-Dong Li, Jin-Rui Wang, Chao-Fang Bai, Rong Long, Yu-Xin Xiong, Ying Yang
    World Journal of Diabetes.2022; 13(11): 986.     CrossRef
  • Association of Non-Alcoholic Fatty Liver Dis-ease and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus: a Cross-Sectional Study
    Zahra Heidari, Zahra Sharafi
    Iranian South Medical Journal.2022; 25(1): 30.     CrossRef
  • The Related Risk Factors of Diabetic Retinopathy in Elderly Patients with Type 2 Diabetes Mellitus: A Hospital-Based Cohort Study in Taiwan
    Tsai-Tung Chiu, Tien-Lung Tsai, Mei-Yin Su, Tsan Yang, Peng-Lin Tseng, Yau-Jiunn Lee, Chao-Hsien Lee
    International Journal of Environmental Research and Public Health.2021; 18(1): 307.     CrossRef
  • Association of non‐alcoholic fatty liver disease with diabetic retinopathy in type 2 diabetic patients: A meta‐analysis of observational studies
    Dandan Song, Chengqian Li, Zhongchao Wang, Yuhang Zhao, Baoming Shen, Wenjuan Zhao
    Journal of Diabetes Investigation.2021; 12(8): 1471.     CrossRef
  • PREVALENCE OF ADVANCED DIABETIC EYE DISEASE AND ITS ASSOCIATED RISK FACTORS IN TYPE 2 DIABETES MELLITUS
    Likathung Ngullie, Bratatee Roy, Sayantan Ghosh, Sneha Jain, Lakshmi Kanta Mondal
    INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH.2021; : 25.     CrossRef
  • Progression of Diabetic Retinopathy and Declining Renal Function in Patients with Type 2 Diabetes
    AJin Cho, Hayne Cho Park, Young-Ki Lee, Young Joo Shin, So Hyun Bae, Hakyoung Kim
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • First nation-wide study of diabetic retinopathy in Poland in the years 2013–2017
    Milena Kozioł, Michał S. Nowak, Monika Udziela, Paweł Piątkiewicz, Iwona Grabska-Liberek, Jacek P. Szaflik
    Acta Diabetologica.2020; 57(10): 1255.     CrossRef
  • Awareness of diabetic retinopathy among Saudis with diabetes type 2 in Riyadh city
    YousefM Alluhaymid, FawzanY Alotaibi, AbdulmajeedB Alotaibi, AbdullahM Albasha, AbdulrahmanS Alnaim, EssaM Sabi, AhmedH Mujamammi
    Journal of Family Medicine and Primary Care.2020; 9(8): 4229.     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
  • Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders
    Jirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, Tassapol Singalavanija, Ngamphol Soonthornworasiri, Varis Ruamviboonsuk, Chetan Rao, Rajiv Raman, Andrzej Grzybowski, Mike Schaekermann, Lily H. Peng, Dale R. Webster, Christopher Semtu
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Association of Vitamin D and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus
    Rizwana Parveen, Pinki Mishra, Reema Singh, Prem Kapur, Nidhi B. Agarwal
    Annals of the National Academy of Medical Sciences (India).2020; 53: 156.     CrossRef
  • Protective factors for diabetic retinopathy in Type 2 diabetes mellitus patients: Long duration of no less than 10 years
    Yanli Liu, Chunwen Duan, Dejia Fang, Yi Liu, Hanchun Xu, Yarong Zheng, Yaling Xuan, Lili Wang, Lin Ye, Rui Su, Meixia An
    Journal of Diabetes and its Complications.2019; 33(10): 107383.     CrossRef
  • Incidence of sight‐threatening diabetic retinopathy in people with Type 2 diabetes mellitus and numbers needed to screen: a systematic review
    Y. Groeneveld, D. Tavenier, J.W. Blom, B.C.P. Polak
    Diabetic Medicine.2019; 36(10): 1199.     CrossRef
  • Association between spousal diabetes status and diabetic retinopathy in Chinese patients with type 2 diabetes
    Mei Yang, Yu Liu, Cuihong Wen, Beirui Wu, Xu Wan, Wei Luan, Jie Shen, Wei Liu, Jing Ma
    Diabetes and Vascular Disease Research.2019; 16(5): 474.     CrossRef
  • Presence of diabetic retinopathy is lower in type 2 diabetic patients with non-alcoholic fatty liver disease
    Meng Zhang, Li Li, Jing Chen, Bei Li, Yutao Zhan, Chuan Zhang
    Medicine.2019; 98(18): e15362.     CrossRef
  • MicroRNAs as biomarkers of diabetic retinopathy and disease progression
    Bridget Martinez, PhilipV Peplow
    Neural Regeneration Research.2019; 14(11): 1858.     CrossRef
  • Vascular changes in diabetic retinopathy—a longitudinal study in the Nile rat
    Huishi Toh, Alexander Smolentsev, Rachel V. Bozadjian, Patrick W. Keeley, Madison D. Lockwood, Ryan Sadjadi, Dennis O. Clegg, Barbara A. Blodi, Peter J. Coffey, Benjamin E. Reese, James A. Thomson
    Laboratory Investigation.2019; 99(10): 1547.     CrossRef
  • DIABETE, TABAGISMO E DISASSUEFAZIONE DAL FUMO
    Davide Campagna, Angela Alamo, Enrico Mondati, Riccardo Polosa
    il Diabete.2019; 31(N. 1, marz): 41.     CrossRef
  • Smoking and diabetes: dangerous liaisons and confusing relationships
    D. Campagna, A. Alamo, A. Di Pino, C. Russo, A. E. Calogero, F. Purrello, R. Polosa
    Diabetology & Metabolic Syndrome.2019;[Epub]     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
  • 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
  • Excess visceral adiposity is associated with diabetic retinopathy in a multiethnic Asian cohort with longstanding type 2 diabetes
    Angela Moh, Kumari Neelam, Xiao Zhang, Chee Fang Sum, Subramaniam Tavintharan, Keven Ang, Simon Biing Ming Lee, Wern Ee Tang, Su Chi Lim
    Endocrine Research.2018; 43(3): 186.     CrossRef
  • RNA sequencing identified specific circulating miRNA biomarkers for early detection of diabetes retinopathy
    Zhen Liang, Kai P. Gao, Yi X. Wang, Zi C. Liu, Li Tian, Xin Z. Yang, Jing Y. Ding, Wei T. Wu, Wen H. Yang, Yi L. Li, Ze B. Zhang, Ri H. Zhai
    American Journal of Physiology-Endocrinology and Metabolism.2018; 315(3): E374.     CrossRef
  • High hemoglobin levels are associated with decreased risk of diabetic retinopathy in Korean type 2 diabetes
    Min-Kyung Lee, Kyung-Do Han, Jae-Hyuk Lee, Seo-Young Sohn, Jee-Sun Jeong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Scientific Reports.2018;[Epub]     CrossRef
  • Cigarette Smoking, Diabetes, and Diabetes Complications: Call for Urgent Action
    Ping Zhu, Xiong-Fei Pan, Liting Sheng, Henggui Chen, An Pan
    Current Diabetes Reports.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
  • Letter: Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea (Diabetes Metab J2016;40:482-93)
    Nam Hoon Kim
    Diabetes & Metabolism Journal.2017; 41(1): 75.     CrossRef
  • Combined treatment of diabetic nephropathy with alprostadil and calcium dobesilate
    Lili Qin, Wenjun Qin, Jianfei Wang, Lin Lin
    Experimental and Therapeutic Medicine.2017;[Epub]     CrossRef
  • Response: Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea (Diabetes Metab J2016;40:482-93)
    Jae-Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2017; 41(1): 77.     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
  • 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
Complications
Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus
Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
Diabetes Metab J. 2016;40(6):463-472.   Published online October 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.463
  • 4,416 View
  • 50 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated an association between baseline heart rate-corrected QT (QTc) interval before severe hypoglycemia (SH) and prolongation of QTc interval during SH in patients with type 2 diabetes mellitus (T2DM).

Methods

Between January 2004 and June 2014, 208 patients with T2DM, who visited the emergency department because of SH and underwent standard 12-lead electrocardiography within the 6-month period before SH were consecutively enrolled. The QTc interval was analyzed during the incidence of SH, and 6 months before and after SH. QTc intervals of 450 ms or longer in men and 460 ms or longer in women were considered abnormally prolonged.

Results

The mean age and diabetes duration were 68.1±12.1 and 14.1±10.1 years, respectively. The mean QTc intervals at baseline and SH episodes were 433±33 and 460±33 ms, respectively (P<0.001). One hundred and fourteen patients (54.8%) had a prolonged QTc interval during SH. There was a significant decrease in the prolonged QTc interval within 6 months after SH (QTc interval prolongation during SH vs. after recovery, 54.8% vs. 33.8%, P<0.001). The prolonged QTc interval was significantly associated with baseline QTc interval prolongation (odds ratio, 2.92; 95% confidence interval, 1.22 to 6.96; P=0.016) after adjusting for multiple confounders.

Conclusion

A prolonged QTc interval at baseline was significantly associated with prolongation of the QTc interval during SH in patients with T2DM, suggesting the necessity of QTc interval monitoring and attention to those with a prolonged QTc interval to prevent SH.

Citations

Citations to this article as recorded by  
  • Prevalence of QT prolongation and its risk factors in patients with type 2 diabetes
    Khaled Aburisheh, Mohammad F. AlKheraiji, Saleh I. Alwalan, Arthur C. Isnani, Mohamed Rafiullah, Muhammad Mujammami, Assim A. Alfadda
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
    Xiao Liu, Ayiguli Abudukeremu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Jianyong Ma, Runlu Sun, Wanbing He, Zhiteng Chen, Yangxin Chen, Peng Yu, Wengen Zhu, Yuling Zhang, Jingfeng Wang
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Celebrities in the heart, strangers in the pancreatic beta cell: Voltage‐gated potassium channels Kv7.1 and Kv11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes
    Anniek F. Lubberding, Christian R. Juhl, Emil Z. Skovhøj, Jørgen K. Kanters, Thomas Mandrup‐Poulsen, Signe S. Torekov
    Acta Physiologica.2022;[Epub]     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • Heart rate-corrected QT interval prolongation is associated with decreased heart rate variability in patients with type 2 diabetes
    Seon-Ah Cha
    Medicine.2022; 101(45): e31511.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Review of the cardiovascular safety of dipeptidyl peptidase-4 inhibitors and the clinical relevance of the CAROLINA trial
    Marile Santamarina, Curt J. Carlson
    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
  • Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
    Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang
    Biochemical and Biophysical Research Communications.2018; 495(1): 693.     CrossRef
  • Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
    Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
    Journal of Diabetes and its Complications.2018; 32(2): 157.     CrossRef
  • Incidence of prolonged QTc and severe hypoglycemia in type 1 diabetes: the EURODIAB Prospective Complications Study
    Cristina Amione, Sara Giunti, Paolo Fornengo, Sabita S. Soedamah-Muthu, Nish Chaturvedi, J. H. Fuller, Federica Barutta, Gabriella Gruden, Graziella Bruno
    Acta Diabetologica.2017; 54(9): 871.     CrossRef
Complications
Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
Diabetes Metab J. 2016;40(3):202-210.   Published online April 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.202
  • 5,358 View
  • 65 Download
  • 50 Web of Science
  • 58 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the association between severe hypoglycemia (SH) and the risk of cardiovascular (CV) or all-cause mortality in patients with type 2 diabetes.

Methods

The study included 1,260 patients aged 25 to 75 years with type 2 diabetes from the Vincent Type 2 Diabetes Resgistry (VDR), who consecutively enrolled (n=1,260) from January 2000 to December 2010 and were followed up until May 2015 with a median follow-up time of 10.4 years. Primary outcomes were death from any cause or CV death. We investigated the association between the CV or all-cause mortality and various covariates using Cox proportional hazards regression analysis.

Results

Among the 906 participants (71.9%) who completed follow-up, 85 patients (9.4%) had at least one episode of SH, and 86 patients (9.5%) died (9.1 per 1,000 patient-years). Patients who had died were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline, as compared with surviving patients. The experience of SH was significantly associated with an increased risk of all-cause mortality (hazard ratio [HR], 2.64; 95% confidence interval [CI], 1.39 to 5.02; P=0.003) and CV mortality (HR, 6.34; 95% CI, 2.02 to 19.87; P=0.002) after adjusting for sex, age, diabetic duration, hypertension, mean glycosylated hemoglobin levels, diabetic nephropathy, lipid profiles, and insulin use.

Conclusion

We found a strong association between SH and increased risk of all-cause and CV mortality in patients with type 2 diabetes.

Citations

Citations to this article as recorded by  
  • Impaired Awareness of Hypoglycemia and its Risk Factors among Diabetic Patients in Jazan, Saudi Arabia: A Cross-Sectional Study
    Omar Oraibi, Abdulelah Alameer, Mohammed Dalak, Sawsan Alsharif, Shatha A. Hakami, Mohammed Sumayli, Ayman Shami, Mostafa Mohrag, Mohammed A. Madkhali, Mohammed Ali Madkhali, Luai Alhazmi, Majid Darraj
    Current Diabetes Reviews.2024;[Epub]     CrossRef
  • The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005–2018
    Lei Ding, Hongda Zhang, Cong Dai, Aikai Zhang, Fengyuan Yu, Lijie Mi, Yingjie Qi, Min Tang
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Navigating the future of diabetes: innovative nomogram models for predicting all-cause mortality risk in diabetic nephropathy
    Sensen Wu, Hui Wang, Dikang Pan, Julong Guo, Fan Zhang, Yachan Ning, Yongquan Gu, Lianrui Guo
    BMC Nephrology.2024;[Epub]     CrossRef
  • Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes - a systematic review and meta-analysis
    Gangfeng Li, Shuping Zhong, Xingmu Wang, Fuyuan Zhuge
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Diabetes mellitus und Straßenverkehr – ein Positionspapier der Österreichischen Diabetesgesellschaft (Update 2023)
    Heidemarie Abrahamian, Birgit Salamon, Angelika Lahnsteiner, Christian Schelkshorn, Alexander Bräuer, Lars Stechemesser, Gerd Köhler, Martin Clodi
    Wiener klinische Wochenschrift.2023; 135(S1): 319.     CrossRef
  • Validation of the hypoglycemia awareness questionnaire to assess hypoglycemia awareness in patients with type 2 diabetes treated with insulin
    Diana Cristina Henao-Carrillo, Fabio Alexander Sierra-Matamoros, Ana Julia Carrillo Algarra, Julieth Patricia García-Lugo, Sandra Milena Hernández-Zambrano
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(12): 102917.     CrossRef
  • Basal insulin analogues in people with diabetes and chronic kidney disease
    David León‐Jiménez, José Pablo Miramontes‐González, Laura Márquez‐López, Francisco Astudillo‐Martín, Luis M. Beltrán‐Romero, Fernando Moreno‐Obregón, Javier Escalada‐San Martín
    Diabetic Medicine.2022;[Epub]     CrossRef
  • Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
    Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976.     CrossRef
  • Validación transcultural del HypoA-Q para medir conciencia de hipoglucemia en pacientes diabéticos
    Ana Julia Carrillo-Algarra, Sandra Milena Hernandez-Zambrano, Fabio Alexander Sierra-Matamoros, Diana Cristina Henao-Carrillo, Ana María Gómez-Medina, Daniel Esteban Hurtado-Barrera
    Revista Ciencia y Cuidado.2022; 19(1): 42.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • Evaluation of a Clinical Platform to Promote Chronic Disease Management
    Laura Greene, Nila Sathe, John A. House, Laura L. Schott, Stella Safo
    Population Health Management.2021; 24(4): 470.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Meta-Analysis: Association Between Hypoglycemia and Serious Adverse Events in Older Patients Treated With Glucose-Lowering Agents
    Katharina Mattishent, Yoon K. Loke
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Epidemiology and outcomes from severe hypoglycemia in Kuwait: a prospective cohort study
    Dalal Al Hasan, Ameen Yaseen, Mohammad Al Roudan, Lee Wallis
    BMC Emergency Medicine.2021;[Epub]     CrossRef
  • The incidence of hypoglycemia and its risk factors among diabetic patients in the Eastern Province of Saudi Arabia
    Ahmed Elshebiny, Hassan Alali, Zainab Alamer, Yasmin Alsultan, Hashim Alkhalaf, Abdullah Alkishi, Mohammed Alsuwaylih
    International Journal of Medicine in Developing Countries.2021; : 614.     CrossRef
  • Current trends in epidemiology of cardiovascular disease and cardiovascular risk management in type 2 diabetes
    Jae-Seung Yun, Seung-Hyun Ko
    Metabolism.2021; 123: 154838.     CrossRef
  • Real-world Evaluation of glycemic control and hypoglycemic Events among type 2 Diabetes mellitus study (REEDS): a multicentre, cross-sectional study in Thailand
    Bancha Satirapoj, Thongchai Pratipanawatr, Boonsong Ongphiphadhanakul, Sompongse Suwanwalaikorn, Yupin Benjasuratwong, Wannee Nitiyanant
    BMJ Open.2020; 10(2): e031612.     CrossRef
  • Predictors of Diabetes Self-Care Practice Among Patients with Type 2 Diabetes in Public Hospitals in Northeastern Ethiopia: A Facility-Based Cross-Sectional Study


    Tesfaye Molla Gulentie, Ebrahim Mohammed Yesuf, Taklo Simeneh Yazie, Belayneh Kefale
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3137.     CrossRef
  • Hypoglycemia in Older Patients
    Byron J. Hoogwerf
    Clinics in Geriatric Medicine.2020; 36(3): 395.     CrossRef
  • Severe hypoglycaemia and absolute risk of cause-specific mortality in individuals with type 2 diabetes: a UK primary care observational study
    Francesco Zaccardi, Suping Ling, Claire Lawson, Melanie J. Davies, Kamlesh Khunti
    Diabetologia.2020; 63(10): 2129.     CrossRef
  • Insulin Glargine U100 Improved Glycemic Control and Reduced Nocturnal Hypoglycemia in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease Stages 3 and 4
    Carolina C. Betônico, Silvia Maria O. Titan, Aécio Lira, Tatiana S. Pelaes, Maria Lúcia C. Correa-Giannella, Márcia Nery, Márcia Queiroz
    Clinical Therapeutics.2019; 41(10): 2008.     CrossRef
  • Efficacy and Safety of Degludec Compared to Glargine 300 Units/mL in Insulin-Experienced Patients With Type 2 Diabetes: Trial Protocol Amendment (NCT03078478)
    Athena Philis-Tsimikas, Irene Stratton, Lone Nørgård Troelsen, Britta Anker Bak, Lawrence A. Leiter
    Journal of Diabetes Science and Technology.2019; 13(3): 498.     CrossRef
  • Efficacy and safety of insulin glargine/lixisenatide (iGlarLixi) fixed-ratio combination in older adults with type 2 diabetes
    Yehuda Handelsman, Christina Chovanes, Terry Dex, Francesco Giorgino, Neil Skolnik, Elisabeth Souhami, William Stager, Elisabeth Niemoeller, Juan Pablo Frias
    Journal of Diabetes and its Complications.2019; 33(3): 236.     CrossRef
  • Urinary glucose excretion after dapagliflozin treatment: An exposure‐response modelling comparison between Japanese and non‐Japanese patients diagnosed with type 1 diabetes mellitus
    Victor Sokolov, Tatiana Yakovleva, Shinya Ueda, Joanna Parkinson, David W. Boulton, Robert C. Penland, Weifeng Tang
    Diabetes, Obesity and Metabolism.2019; 21(4): 829.     CrossRef
  • Effects on clinical outcomes of intensifying triple oral antidiabetic drug (OAD) therapy by initiating insulin versus enhancing OAD therapy in patients with type 2 diabetes: A nationwide population‐based, propensity‐score‐matched cohort study
    Shihchen Kuo, Chun‐Ting Yang, Jin‐Shang Wu, Huang‐Tz Ou
    Diabetes, Obesity and Metabolism.2019; 21(2): 312.     CrossRef
  • Cardiovascular safety and lower severe hypoglycaemia of insulin degludec versus insulin glargine U100 in patients with type 2 diabetes aged 65 years or older: Results from DEVOTE (DEVOTE 7)
    Richard E. Pratley, Scott S. Emerson, Edward Franek, Matthew P. Gilbert, Steven P. Marso, Darren K. McGuire, Thomas R. Pieber, Bernard Zinman, Charlotte T. Hansen, Melissa V. Hansen, Thomas Mark, Alan C. Moses, John B. Buse
    Diabetes, Obesity and Metabolism.2019; 21(7): 1625.     CrossRef
  • Review of the cardiovascular safety of dipeptidyl peptidase-4 inhibitors and the clinical relevance of the CAROLINA trial
    Marile Santamarina, Curt J. Carlson
    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
  • Effects of a 12-week moderate-intensity exercise training on blood glucose response in patients with type 2 diabetes
    Shang-Lin Chiang, Margaret McLean Heitkemper, Yi-Jen Hung, Wen-Chii Tzeng, Meei-Shyuan Lee, Chia-Huei Lin
    Medicine.2019; 98(36): e16860.     CrossRef
  • Impaired Awareness of Hypoglycaemia in Insulin-treated Type 2 Diabetes Mellitus
    Mohammad J. Alkhatatbeh, Nedaa A. Abdalqader , Mohammad A.Y. Alqudah
    Current Diabetes Reviews.2019; 15(5): 407.     CrossRef
  • Hypoglycaemia, cardiovascular disease, and mortality in diabetes: epidemiology, pathogenesis, and management
    Stephanie A Amiel, Pablo Aschner, Belinda Childs, Philip E Cryer, Bastiaan E de Galan, Brian M Frier, Linda Gonder-Frederick, Simon R Heller, Timothy Jones, Kamlesh Khunti, Lawrence A Leiter, Yingying Luo, Rory J McCrimmon, Ulrik Pedersen-Bjergaard, Eliza
    The Lancet Diabetes & Endocrinology.2019; 7(5): 385.     CrossRef
  • Sulfonylureas as initial treatment for type 2 diabetes and the risk of adverse cardiovascular events: A population‐based cohort study
    Kristian B. Filion, Antonios Douros, Laurent Azoulay, Hui Yin, Oriana H. Yu, Samy Suissa
    British Journal of Clinical Pharmacology.2019; 85(10): 2378.     CrossRef
  • Selectivity of beta-blockers, cardiovascular and all-cause mortality in people with hypoglycaemia: An observational study
    F. Zaccardi, L.L. Nystrup Husemoen, B.L. Thorsted, D.R. Webb, S.K. Paul, M.J. Davies, K. Khunti
    Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(5): 481.     CrossRef
  • Cost-effectiveness of a primary care multidisciplinary Risk Assessment and Management Program for patients with diabetes mellitus (RAMP-DM) over lifetime
    Fangfang Jiao, Eric Yuk Fai Wan, Colman Siu Cheung Fung, Anca Ka Chun Chan, Sarah Morag McGhee, Ruby Lai Ping Kwok, Cindy Lo Kuen Lam
    Endocrine.2019; 63(2): 259.     CrossRef
  • Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend
    Ana María Gómez, Diana Cristina Henao, Angelica Imitola, Oscar Mauricio Muñoz, Martín Alonso Rondón Sepúlveda, Laura Kattah, Juan Sebastian Guerrero, Elly Morros, Juan Pablo Llano, Maira García Jaramillo, Fabián León-Vargas
    Endocrinología, Diabetes y Nutrición.2018; 65(8): 451.     CrossRef
  • Recent diabetes-related mortality trends in Romania
    Sorin Ioacara, Elisabeta Sava, Olivia Georgescu, Anca Sirbu, Simona Fica
    Acta Diabetologica.2018; 55(8): 821.     CrossRef
  • Use of sodium-glucose co-transporter-2 inhibitors from clinical trial results to practical application in Russia
    D. A. Lebedev, A. Yu. Babenko
    Medical Council.2018; (16): 100.     CrossRef
  • Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
    Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
    Journal of Diabetes and its Complications.2018; 32(2): 157.     CrossRef
  • Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
    Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang
    Biochemical and Biophysical Research Communications.2018; 495(1): 693.     CrossRef
  • Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study
    Mee Kyoung Kim, Jee Sun Jeong, Jae-Seung Yun, Hyuk-Sang Kwon, Ki Hyun Baek, Ki-Ho Song, Yu-Bae Ahn, Seung-Hyun Ko
    Journal of Diabetes and its Complications.2018; 32(10): 906.     CrossRef
  • Day-to-day fasting glycaemic variability in DEVOTE: associations with severe hypoglycaemia and cardiovascular outcomes (DEVOTE 2)
    Bernard Zinman, Steven P. Marso, Neil R. Poulter, Scott S. Emerson, Thomas R. Pieber, Richard E. Pratley, Martin Lange, Kirstine Brown-Frandsen, Alan Moses, Ann Marie Ocampo Francisco, Jesper Barner Lekdorf, Kajsa Kvist, John B. Buse
    Diabetologia.2018; 61(1): 48.     CrossRef
  • Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend
    Ana María Gómez, Diana Cristina Henao, Angelica Imitola, Oscar Mauricio Muñoz, Martín Alonso Rondón Sepúlveda, Laura Kattah, Juan Sebastian Guerrero, Elly Morros, Juan Pablo Llano, Maira García Jaramillo, Fabián León-Vargas
    Endocrinología, Diabetes y Nutrición (English ed.).2018; 65(8): 451.     CrossRef
  • Time- and frequency-domain measures of heart rate variability predict cardiovascular outcome in patients with type 2 diabetes
    Seon-Ah Cha, Yong-Moon Park, Jae-Seung Yun, Seung-Hwan Lee, Yu-Bae Ahn, Sung-Rae Kim, Seung-Hyun Ko
    Diabetes Research and Clinical Practice.2018; 143: 159.     CrossRef
  • Newly diagnosed type 2 diabetes in an ethnic minority population: clinical presentation and comparison to other populations
    Michael Morkos, Bettina Tahsin, Louis Fogg, Leon Fogelfeld
    BMJ Open Diabetes Research & Care.2018; 6(1): e000568.     CrossRef
  • DEVOTE 3: temporal relationships between severe hypoglycaemia, cardiovascular outcomes and mortality
    Thomas R. Pieber, Steven P. Marso, Darren K. McGuire, Bernard Zinman, Neil R. Poulter, Scott S. Emerson, Richard E. Pratley, Vincent Woo, Simon Heller, Martin Lange, Kirstine Brown-Frandsen, Alan Moses, Jesper Barner Lekdorf, Lucine Lehmann, Kajsa Kvist,
    Diabetologia.2018; 61(1): 58.     CrossRef
  • Intervention effects of Compound Houttuyniae Herba to diabetic renal damage based on SOCS-JAK/STAT negative feedback regulation
    Yun Fang, Sai-cong Shao, Hai-ying Wang
    Chinese Herbal Medicines.2018; 10(4): 424.     CrossRef
  • Monotherapy in Patients with Type 2 Diabetes Mellitus
    Sang Youl Rhee, Hyun Jin Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 349.     CrossRef
  • Monotherapy in patients with type 2 diabetes mellitus
    Sang Youl Rhee, Hyun Jin Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 959.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Cardiovascular effects of dipeptidyl peptidase-4 inhibitor in diabetic patients with and without established cardiovascular disease: a meta-analysis and systematic review
    Shishi Xu, Xinyue Zhang, Lizhi Tang, Fang Zhang, Nanwei Tong
    Postgraduate Medicine.2017; 129(2): 205.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Effects of propofol on myocardial ischemia-reperfusion injury in rats with type-2 diabetes mellitus
    Ying Wang, Xiuru Qi, Chunliang Wang, Danning Zhao, Hongjie Wang, Jianxin Zhang
    Biomedical Reports.2017; 6(1): 69.     CrossRef
  • Cardiovascular risk assessment in patients with diabetes
    Marcello Casaccia Bertoluci, Viviane Zorzanelli Rocha
    Diabetology & Metabolic Syndrome.2017;[Epub]     CrossRef
  • Pathogenetic features of the combined course of arterial hypertension and diabetes mellitus 2 type
    O.M. Bilovol, L.R. Bobronnikova, O.V. Al-Trawneh
    Shidnoevropejskij zurnal vnutrisnoi ta simejnoi medicini.2017; 2017(1): 4.     CrossRef
  • Risk Factors and Adverse Outcomes of Severe Hypoglycemia in Type 2 Diabetes Mellitus
    Jae-Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(6): 423.     CrossRef
  • Real-world evidence for the safety of ipragliflozin in elderly Japanese patients with type 2 diabetes mellitus (STELLA-ELDER): final results of a post-marketing surveillance study
    Koutaro Yokote, Yasuo Terauchi, Ichiro Nakamura, Haruko Sugamori
    Expert Opinion on Pharmacotherapy.2016; 17(15): 1995.     CrossRef
  • Hypoglycemia: Culprit or Bystander?
    You-Cheol Hwang
    Diabetes & Metabolism Journal.2016; 40(3): 190.     CrossRef
  • Schwere Hypoglykämien erhöhen die Mortalität
    E. Fritschka
    MMW - Fortschritte der Medizin.2016; 158(S3): 46.     CrossRef
Complications
Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes
Jae-Seung Yun, Seung-Hyun Ko, Sun-Hye Ko, Ki-Ho Song, Ki-Dong Yoo, Kun-Ho Yoon, Yong-Moon Park, Yu-Bae Ahn
Diabetes Metab J. 2015;39(6):498-506.   Published online July 8, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.6.498
  • 3,927 View
  • 45 Download
  • 22 Web of Science
  • 22 Crossref
AbstractAbstract PDFPubReader   
Background

To investigate whether a history of prior cardiovascular disease (CVD) is associated with severe hypoglycemia (SH) in patients with type 2 diabetes.

Methods

We conducted a prospective cohort study from January 2001 to December 2012 with a median follow-up time of 9.5 years (5,814 person-years). Patients aged 25 to 75 years with type 2 diabetes and without chronic kidney disease were enrolled (n=894), and 624 patients completed follow-up. SH was defined as hypoglycemic episodes requiring hospitalization or medical care in an emergency department. We used the Cox proportional hazards regression analysis to test associations between SH episodes and potential explanatory variables.

Results

Among the 624 participants who completed follow-up, 60 patients (9.6%) had previous CVD. Compared to patients without CVD, patients with previous CVD were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline. During follow-up, 62 patients (9.9%) experienced at least one SH episode (incidence of 1.33 per 100 patient-years). The development of SH was associated with a history of CVD (hazard ratio, 1.99; 95% confidence interval, 1.07 to 3.72; P=0.031) after adjusting for sex, age, diabetic duration, hypertension, hemoglobin A1c levels, diabetic complications, cardiovascular autonomic neuropathy, and insulin use.

Conclusion

A history of CVD was an independent risk factor for the development of SH in patients with type 2 diabetes mellitus. For patients with CVD, modulation of glycemic targets and diabetic education for the prevention of hypoglycemia should be implemented.

Citations

Citations to this article as recorded by  
  • Evaluating the effectiveness of a novel somatostatin receptor 2 antagonist, ZT-01, for hypoglycemia prevention in a rodent model of type 2 diabetes
    Ninoschka C. D’Souza, Julian A. Aiken, Emily G. Hoffman, Sara C. Atherley, Sabrina Champsi, Nadia Aleali, Dorsa Shakeri, Maya El-Zahed, Nicky Akbarian, Mehran Nejad-Mansouri, Parinaz Z. Bavani, Richard L. Liggins, Owen Chan, Michael C. Riddell
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Relationship between autonomic and peripheral neuropathies and cardiovascular outcomes in diabetes
    Jae-Seung Yun
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 123.     CrossRef
  • Concomitant Use of Sulfonylureas and β-Blockers and the Risk of Severe Hypoglycemia Among Patients With Type 2 Diabetes: A Population-Based Cohort Study
    Jenny Dimakos, Ying Cui, Robert W. Platt, Christel Renoux, Kristian B. Filion, Antonios Douros
    Diabetes Care.2023; 46(2): 377.     CrossRef
  • Evaluating the effect of Roxadustat on ventricular repolarization in patients undergoing peritoneal dialysis
    Yangyang Zhang, Liang Zhang, Pengcheng Ge, Ruyi Xu, Zhen Ye
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Diabetic Neuropathy and Risk of Cardiovascular Disease
    Jae-Seung Yun
    The Journal of Korean Diabetes.2022; 23(4): 245.     CrossRef
  • Randomised controlled trial of pharmacist-led patient counselling in controlling hypoglycaemic attacks in older adults with type 2 diabetes mellitus (ROSE-ADAM): A study protocol of the SUGAR intervention
    Huda Y. Almomani, Carlos Rodriguez Pascual, Sayer I. Al-Azzam, Keivan Ahmadi
    Research in Social and Administrative Pharmacy.2021; 17(5): 885.     CrossRef
  • Diabetes and Frailty: An Expert Consensus Statement on the Management of Older Adults with Type 2 Diabetes
    W. David Strain, Su Down, Pam Brown, Amar Puttanna, Alan Sinclair
    Diabetes Therapy.2021; 12(5): 1227.     CrossRef
  • Management of hypoglycemia in older adults with type 2 diabetes
    Jeffrey Freeman
    Postgraduate Medicine.2019; 131(4): 241.     CrossRef
  • Use of stellate ganglion block for treatment of recurrent syncope followed by chest pain
    Young-ung Kim, Yong-joon Shin, Young Woo Cho
    Yeungnam University Journal of Medicine.2018; 35(1): 104.     CrossRef
  • Coronary artery disease severity modifies associations between glycemic control and both mortality and myocardial infarction
    Sridharan Raghavan, Wenhui G. Liu, P. Michael Ho, Mary E. Plomondon, Anna E. Barón, Liron Caplan, Karen E. Joynt Maddox, David Magid, David R. Saxon, Corrine I. Voils, Steven M. Bradley, Thomas M. Maddox
    Journal of Diabetes and its Complications.2018; 32(5): 480.     CrossRef
  • Depth and combined infection is important predictor of lower extremity amputations in hospitalized diabetic foot ulcer patients
    Eun-Gyo Jeong, Sung Shim Cho, Sang-Hoon Lee, Kang-Min Lee, Seo-Kyung Woo, Yoongoo Kang, Jae-Seung Yun, Seon-Ah Cha, Yoon-Jung Kim, Yu-Bae Ahn, Seung-Hyun Ko, Jung-Min Lee
    The Korean Journal of Internal Medicine.2018; 33(5): 952.     CrossRef
  • Time- and frequency-domain measures of heart rate variability predict cardiovascular outcome in patients with type 2 diabetes
    Seon-Ah Cha, Yong-Moon Park, Jae-Seung Yun, Seung-Hwan Lee, Yu-Bae Ahn, Sung-Rae Kim, Seung-Hyun Ko
    Diabetes Research and Clinical Practice.2018; 143: 159.     CrossRef
  • Risk Factors for Severe Hypoglycemia in Black and White Adults With Diabetes: The Atherosclerosis Risk in Communities (ARIC) Study
    Alexandra K. Lee, Clare J. Lee, Elbert S. Huang, A. Richey Sharrett, Josef Coresh, Elizabeth Selvin
    Diabetes Care.2017; 40(12): 1661.     CrossRef
  • Early inner retinal thinning and cardiovascular autonomic dysfunction in type 2 diabetes
    Jin A. Choi, Hyo Won Kim, Jin-Woo Kwon, Yun-sub Shim, Dong Hyun Jee, Jae-Seung Yun, Yu-Bae Ahn, Chan Kee Park, Seung-Hyun Ko, Patrice E. Fort
    PLOS ONE.2017; 12(3): e0174377.     CrossRef
  • Cardiovascular Autonomic Dysfunction Predicts Diabetic Foot Ulcers in Patients With Type 2 Diabetes Without Diabetic Polyneuropathy
    Jae-Seung Yun, Seon-Ah Cha, Tae-Seok Lim, Eun-Young Lee, Ki-Ho Song, Yu-Bae Ahn, Ki-Dong Yoo, Joon-Sung Kim, Yong-Moon Park, Seung-Hyun Ko
    Medicine.2016; 95(12): e3128.     CrossRef
  • Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(6): 482.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
  • Meta-analysis: Association between hypoglycaemia and serious adverse events in older patients
    Katharina Mattishent, Yoon Kong Loke
    Journal of Diabetes and its Complications.2016; 30(5): 811.     CrossRef
  • Letter: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506)
    Mi-Kyung Kim
    Diabetes & Metabolism Journal.2016; 40(1): 83.     CrossRef
  • Response: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506)
    Jae-Seung Yun, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(1): 85.     CrossRef
  • Lipoprotein(a) predicts a new onset of chronic kidney disease in people with Type 2 diabetes mellitus
    J.‐S. Yun, Y.‐B. Ahn, K.‐H. Song, K.‐D. Yoo, Y.‐M. Park, H.‐W. Kim, S.‐H. Ko
    Diabetic Medicine.2016; 33(5): 639.     CrossRef
  • Severe Hypoglycemia and Cardiovascular Disease in Type 2 Diabetes
    Hyeong Kyu Park
    Diabetes & Metabolism Journal.2015; 39(6): 478.     CrossRef
Intensive Individualized Reinforcement Education Is Important for the Prevention of Hypoglycemia in Patients with Type 2 Diabetes
Yun-Mi Yong, Kyung-Mi Shin, Kang-Min Lee, Jae-Young Cho, Sun-Hye Ko, Min-Hyang Yoon, Tae-Won Kim, Jong-Hyun Jeong, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
Diabetes Metab J. 2015;39(2):154-163.   Published online March 10, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.2.154
  • 4,822 View
  • 43 Download
  • 19 Web of Science
  • 21 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We investigated whether an intensive individualized reinforcement education program could influence the prevention of hypoglycemic events in patients with type 2 diabetes.

Methods

From March 2013 to September 2013, patients aged 35 to 75 years with type 2 diabetes who had not previously participated in diabetes education, and treated with insulin or a sulfonylurea-containing regimen were included in the study. After structured group education, the patients assigned to the intensive individualized education group (IT) were requested to visit for reinforcement. All subjects in the IT were encouraged to self-manage dose adjustments. Participants in both groups (control group [CG, group education only; n=22] and IT [n=24]) attended follow-up visits at 2, 8, 12, and 24 weeks. At each visit, all patients were asked whether they had experienced hypoglycemia.

Results

The total study population consisted of 20 men (43.5%; mean age and diabetic duration of 55.9±11.0 and 5.1±7.3 years, respectively). At 24 weeks, there were no significant differences in hemoglobin A1c values between the CG and IT. The total number of hypoglycemic events per patient was 5.26±6.5 in the CG and 2.58±2.3 times in the IT (P=0.004). Adherence to lifestyle modification including frequency of exercise, self-monitoring of blood glucose, or dietary habit was not significantly different between the groups. However, adherence to hypoglycemia management, especially the dose adjustment of medication, was significantly higher in the IT compared with the CG.

Conclusion

Compared with the structured group education, additional IT resulted in additional benefits in terms of avoidance of hypoglycemia and treating hypoglycemia in patients with type 2 diabetes.

Citations

Citations to this article as recorded by  
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • Effectiveness of the SUGAR intervention on hypoglycaemia in elderly patients with type 2 diabetes: A pragmatic randomised controlled trial
    Huda Y. Almomani, Carlos Rodriguez Pascual, Paul Grassby, Keivan Ahmadi
    Research in Social and Administrative Pharmacy.2023; 19(2): 322.     CrossRef
  • A Cross-Sectional study on risk factors for severe hypoglycemia among Insulin-Treated elderly type 2 diabetes Mellitus (T2DM) patients in Singapore
    Michelle Shi Min Ko, Wai Kit Lee, Li Chang Ang, Su-Yen Goh, Yong Mong Bee, Ming Ming Teh
    Diabetes Research and Clinical Practice.2022; 185: 109236.     CrossRef
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • Anti-hyperglycemic Medication Compliance: A Quality Assurance Project
    Rayan Mamoon, Md Y Mamoon, Debbie Hermanstyne, Issac Sachmechi
    Cureus.2022;[Epub]     CrossRef
  • Randomised controlled trial of pharmacist-led patient counselling in controlling hypoglycaemic attacks in older adults with type 2 diabetes mellitus (ROSE-ADAM): A study protocol of the SUGAR intervention
    Huda Y. Almomani, Carlos Rodriguez Pascual, Sayer I. Al-Azzam, Keivan Ahmadi
    Research in Social and Administrative Pharmacy.2021; 17(5): 885.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Type 2 diabetes patients’ views on prevention of hypoglycaemia – a mixed methods study investigating self-management issues and self-identified causes of hypoglycaemia
    Stijn Crutzen, Tessa van den Born-Bondt, Petra Denig, Katja Taxis
    BMC Family Practice.2021;[Epub]     CrossRef
  • Cross‐sectional analysis of emergency hypoglycaemia and outcome predictors among people with diabetes in an urban population
    Chukwuma Uduku, Valentina Pendolino, Ian Godsland, Nick Oliver, Monika Reddy, Rachael T. Fothergill
    Diabetic Medicine.2021;[Epub]     CrossRef
  • Short-term efficacy of high intensity group and individual education in patients with type 2 diabetes: a randomized single-center trial
    R. Reale, A. Tumminia, L. Romeo, N. La Spina, R. Baratta, G. Padova, L. Tomaselli, L. Frittitta
    Journal of Endocrinological Investigation.2019; 42(4): 403.     CrossRef
  • The role of structured education in the management of hypoglycaemia
    Ahmed Iqbal, Simon R. Heller
    Diabetologia.2018; 61(4): 751.     CrossRef
  • Association of diabetes therapy-related quality of life and physical activity levels in patients with type 2 diabetes receiving medication therapy: the Diabetes Distress and Care Registry at Tenri (DDCRT 17)
    Yasuaki Hayashino, Satoru Tsujii, Hitoshi Ishii
    Acta Diabetologica.2018; 55(2): 165.     CrossRef
  • Insulin Therapy for Adult Patients with Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(5): 367.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Insulin therapy for adult patients with type 2 diabetes mellitus: a position statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    The Korean Journal of Internal Medicine.2017; 32(6): 967.     CrossRef
  • Physician-Directed Diabetes Education without a Medication Change and Associated Patient Outcomes
    Hun-Sung Kim, Hyunah Kim, Hae-Kyung Yang, Eun Young Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung-Hwan Lee, Jae Hyoung Cho, In Young Choi, Hyeon Woo Yim, Bong-Yun Cha
    Diabetes & Metabolism Journal.2017; 41(3): 187.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Hypoglycemia and Health Costs
    Yong-ho Lee, Gyuri Kim, Eun Seok Kang
    The Journal of Korean Diabetes.2016; 17(1): 11.     CrossRef
  • Association between estimated blood glucose levels and glycated hemoglobin levels
    Seon-Ah Cha, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(3): 457.     CrossRef
  • Characteristics of Hypoglycemia Pateints Visiting the Emergency Department of a University Hospital
    Sang-Hyeon Choi, Deok-Ki Youn, Moon-Gi Choi, Ohk-Hyun Ryu
    The Journal of Korean Diabetes.2016; 17(3): 202.     CrossRef
  • Experiences of Diabetes Education among Educators of Diabetes : a content analysis approach
    Soo Jin Kang, Soo Jung Chang
    Journal of Korean Public Health Nursing.2016; 30(2): 221.     CrossRef
Statin Discontinuation after Achieving a Target Low Density Lipoprotein Cholesterol Level in Type 2 Diabetic Patients without Cardiovascular Disease: A Randomized Controlled Study
Seung-Hwan Lee, Hyuk-Sang Kwon, Yong-Moon Park, Seung-Hyun Ko, Yoon-Hee Choi, Kun-Ho Yoon, Yu-Bae Ahn
Diabetes Metab J. 2014;38(1):64-73.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.64
  • 4,761 View
  • 53 Download
  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

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

Methods

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

Results

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

Conclusion

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

Citations

Citations to this article as recorded by  
  • Postmarketing Reports of Incomplete Dosing-Related Complications with Self-Injected PCSK9 Inhibitors: A Descriptive Study and Disproportionality Analysis
    Richard H. Woods
    BioDrugs.2024; 38(4): 589.     CrossRef
  • Cardiovascular Outcomes and Mortality Associated With Discontinuing Statins in Older Patients Receiving Polypharmacy
    Federico Rea, Annalisa Biffi, Raffaella Ronco, Matteo Franchi, Simona Cammarota, Anna Citarella, Valeria Conti, Amelia Filippelli, Carmine Sellitto, Giovanni Corrao
    JAMA Network Open.2021; 4(6): e2113186.     CrossRef
  • Visit-to-visit variability of lipid measurements and the risk of myocardial infarction and all-cause mortality: A prospective cohort study
    Xiaoxue Liu, Shouling Wu, Qiaofeng Song, Xizhu Wang
    Atherosclerosis.2020; 312: 110.     CrossRef
  • 2018 Guidelines for the management of dyslipidemia
    Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
    The Korean Journal of Internal Medicine.2019; 34(4): 723.     CrossRef
  • 2018 Guidelines for the Management of Dyslipidemia in Korea
    Eun-Jung Rhee, Hyeon Chang Kim, Jae Hyeon Kim, Eun Young Lee, Byung Jin Kim, Eun Mi Kim, YoonJu Song, Jeong Hyun Lim, Hae Jin Kim, Seonghoon Choi, Min Kyong Moon, Jin Oh Na, Kwang-Yeol Park, Mi Sun Oh, Sang Youb Han, Junghyun Noh, Kyung Hee Yi, Sang-Hak L
    Journal of Lipid and Atherosclerosis.2019; 8(2): 78.     CrossRef
  • Patterns of statin use and long‐term adherence and persistence among older adults with diabetes
    Richard Ofori‐Asenso, Jenni Ilomäki, Mark Tacey, Ella Zomer, Andrea J. Curtis, J. Simon Bell, Sophia Zoungas, Danny Liew
    Journal of Diabetes.2018; 10(9): 699.     CrossRef
  • Effect of visit-to-visit LDL-, HDL-, and non-HDL-cholesterol variability on mortality and cardiovascular outcomes after percutaneous coronary intervention
    Eun Young Lee, Yeoree Yang, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Wook Sung Chung, Seung-Hwan Lee, Kiyuk Chang
    Atherosclerosis.2018; 279: 1.     CrossRef
  • Change in ALT levels after administration of HMG‐CoA reductase inhibitors to subjects with pretreatment levels three times the upper normal limit in clinical practice
    Hyunah Kim, Hyeseon Lee, Tong Min Kim, So Jung Yang, Seo Yeon Baik, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun‐Ho Yoon, Hun‐Sung Kim
    Cardiovascular Therapeutics.2018;[Epub]     CrossRef
  • Orthodox religious fasting as a medical nutrition therapy for dyslipidemia: where do we stand and how far can we go?
    Theocharis Koufakis, Spyridon N Karras, Pantelis Zebekakis, Kalliopi Kotsa
    European Journal of Clinical Nutrition.2018; 72(4): 474.     CrossRef
  • Phenotyping of Korean patients with better-than-expected efficacy of moderate-intensity statins using tensor factorization
    Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu, Katriina Aalto-Setala
    PLOS ONE.2018; 13(6): e0197518.     CrossRef
  • Impact of educational outreach intervention on enhancing health care providers' knowledge about statin therapy prescribing in Malaysian patients with type 2 diabetes mellitus
    Mohamed Hassan Elnaem, Mohamad Haniki Nik Mohamed, Hasniza Zaman Huri, Shah M Azarisman
    Journal of Evaluation in Clinical Practice.2018; 24(3): 521.     CrossRef
  • Use of Moderate‐Intensity Statins for Low‐Density Lipoprotein Cholesterol Level above 190 mg/dL at Baseline in Koreans
    Hun‐Sung Kim, Hyeseon Lee, Sue Hyun Lee, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Hyunah Kim, Seung‐Hwan Lee, Jae Hyoung Cho, In‐Young Choi, Kun‐Ho Yoon, Ju Han Kim
    Basic & Clinical Pharmacology & Toxicology.2017; 121(4): 272.     CrossRef
  • Cholesterol variability and the risk of mortality, myocardial infarction, and stroke: a nationwide population-based study
    Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Yong-Moon Park, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
    European Heart Journal.2017; 38(48): 3560.     CrossRef
  • Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
    Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
    Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292.     CrossRef
  • The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
    Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • Statin for the Primary Prevention of Cardiovascular Disease in Patients with Diabetes Mellitus
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2014; 38(1): 32.     CrossRef
Higher Prevalence and Awareness, but Lower Control Rate of Hypertension in Patients with Diabetes than General Population: The Fifth Korean National Health and Nutrition Examination Survey in 2011
Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Nan Hee Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Yong-Moon Park, Bong-Yun Cha
Diabetes Metab J. 2014;38(1):51-57.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.51
  • 4,581 View
  • 32 Download
  • 28 Web of Science
  • 24 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the prevalence, awareness, treatment, and control rate of hypertension in Korean adults with diabetes using nationally representative data.

Methods

Using data of 5,105 adults from the fifth Korea National Health and Nutrition Examination Survey in 2011 (4,389 nondiabetes mellitus [non-DM]), 242 newly diagnosed with DM (new-DM), and 474 previously diagnosed with DM (known-DM), we analyzed the prevalence of hypertension (mean systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or use of antihypertensive medication) and control rate of hypertension (blood pressure [BP] <130/80 mm Hg).

Results

The prevalence of hypertension in diabetic adults was 54.6% (44.4% in new-DM and 62.6% in known-DM, P<0.0001 and P<0.0001, respectively) compared with non-DM adults (26.2%). Compared to non-DM, awareness (85.7%, P<0.001) and treatment (97.0%, P=0.020) rates were higher in known-DM, whereas no differences were found between new-DM and non-DM. Control rate among all hypertensive subjects was lower in new-DM (14.9%), compared to non-DM (35.1%, P<0.001) and known-DM (33.3%, P=0.004). Control rate among treated subjects was also lower in new-DM (25.2%), compared to non-DM (68.4%, P<0.0001) and known-DM (39.9%, P<0.0001).

Conclusion

Higher prevalence and low control rate of hypertension in adults with diabetes suggest that stringent efforts are needed to control BP in patients with diabetes, particularly in newly diagnosed diabetic patients.

Citations

Citations to this article as recorded by  
  • Comorbidities of diabetes and hypertension in Vietnam: current burden, trends over time, and correlated factors
    Thi Hoang Lan Vu, Thi Tu Quyen Bui, Quoc Bao Tran, Quynh Nga Pham, Duc Truong Lai, Tu Hoang Le, Van Minh Hoang
    BMC Public Health.2023;[Epub]     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Time Trends in Comorbidity and Management of Hypertension and Self-reported Diabetes: A 15-Year Nationwide Longitudinal Study in China
    Yixuan Li, Xiaomin Sun, Junxiang Wei, Jing Wu, Youfa Wang
    American Journal of Hypertension.2021; 34(8): 810.     CrossRef
  • Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
    Wenwen Wu, Jie Diao, Jinru Yang, Donghan Sun, Ying Wang, Ziling Ni, Fen Yang, Xiaodong Tan, Ling Li, Li Li, Lanfranco D Elia
    International Journal of Hypertension.2021; 2021: 1.     CrossRef
  • Real-World Effectiveness and Safety of a Single-Pill Combination of Olmesartan/Amlodipine/Hydrochlorothiazide in Korean Patients with Essential Hypertension (RESOLVE): A Large, Observational, Retrospective, Cohort Study
    Sung-Ji Park, Si Jae Rhee
    Advances in Therapy.2020; 37(8): 3500.     CrossRef
  • Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis
    Qi Huang, Guoxiong Deng, Rongguo Wei, Qiaoye Wang, Donghua Zou, Jinru Wei
    Frontiers in Cardiovascular Medicine.2020;[Epub]     CrossRef
  • Risk of hypertension among different metabolic phenotypes: a systematic review and meta-analysis of prospective cohort studies
    Atieh Mirzababaei, Hadis Mozaffari, Sakineh Shab-Bidar, Alireza Milajerdi, Kurosh Djafarian
    Journal of Human Hypertension.2019; 33(5): 365.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Evaluation of an association between long sleep duration and periodontal disease among men and women using nationally representative data
    Kyungdo Han, Yong-Moon Park, Jun-Beom Park
    Gaceta Sanitaria.2018; 32(2): 143.     CrossRef
  • Evaluation of the association between sleep duration and tooth loss among Korean adults: data from the Korean National Health and Nutrition Examination Survey (KNHANES 2012–2014)
    Kyungdo Han, Jun-Beom Park
    BMJ Open.2018; 8(5): e018383.     CrossRef
  • Association between oral health behavior and periodontal disease among Korean adults
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(7): e6176.     CrossRef
  • Age threshold for moderate and severe periodontitis among Korean adults without diabetes mellitus, hypertension, metabolic syndrome, and/or obesity
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(33): e7835.     CrossRef
  • Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(6): 482.     CrossRef
  • Different effect of alcohol consumption on hypertension according to metabolic health status
    H K Yang, K Han, Y-M Park, H-S Kwon, K-H Yoon, S-H Lee
    Journal of Human Hypertension.2016; 30(10): 591.     CrossRef
  • Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population
    Hyun-Ah Kim, Kyungdo Han, Yun-Ah Lee, Jin A Choi, Yong-Moon Park
    Scientific Reports.2016;[Epub]     CrossRef
  • Low skeletal muscle mass is associated with non-alcoholic fatty liver disease in Korean adults: the Fifth Korea National Health and Nutrition Examination Survey
    Hee Yeon Kim, Chang Wook Kim, Chung-Hwa Park, Jong Young Choi, Kyungdo Han, Anwar T Merchant, Yong-Moon Park
    Hepatobiliary & Pancreatic Diseases International.2016; 15(1): 39.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
  • Lipoprotein(a) predicts the development of diabetic retinopathy in people with type 2 diabetes mellitus
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A. Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Journal of Clinical Lipidology.2016; 10(2): 426.     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
  • The association of incident hypertension with metabolic health and obesity status: definition of metabolic health does not matter
    Yu Mi Kang, Chang Hee Jung, Jung Eun Jang, Jenie Yoonoo Hwang, Eun Hee Kim, Joong‐Yeol Park, Hong‐Kyu Kim, Woo Je Lee
    Clinical Endocrinology.2016; 85(2): 207.     CrossRef
  • The association between abnormal heart rate variability and new onset of chronic kidney disease in patients with type 2 diabetes: A ten-year follow-up study
    Jae-Seung Yun, Yu-Bae Ahn, Ki-Ho Song, Ki-Dong Yoo, Hyung-Wook Kim, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Research and Clinical Practice.2015; 108(1): 31.     CrossRef
  • Obesity as a Potential Risk Factor for Blepharoptosis: The Korea National Health and Nutrition Examination Survey 2008-2010
    Ji-Sun Paik, Su-Kyung Jung, Kyung-Do Han, Sang-Duck Kim, Yong-Moon Park, Suk-Woo Yang, Michele Madigan
    PLOS ONE.2015; 10(7): e0131427.     CrossRef
  • Cost-effectiveness analysis of low density lipoprotein cholesterol-lowering therapy in hypertensive patients with type 2 diabetes in Korea: single-pill regimen (amlodipine/atorvastatin) versus double-pill regimen (amlodipine+atorvastatin)
    Ji-Hyun Park, Yong-Ho Lee, Su-Kyoung Ko, Bong-Soo Cha
    Epidemiology and Health.2015; 37: e2015010.     CrossRef
  • Early Renal Abnormalities as an Indicator of Cardiovascular Risk in Type 2 Diabetes
    Francesca Viazzi, Barbara Bonino, Elena Ratto, Salvatore De Cosmo, Roberto Pontremoli
    High Blood Pressure & Cardiovascular Prevention.2014; 21(4): 257.     CrossRef
Erratum
Erratum: Author's Name Correction. Diabetic Retinopathy and Endothelial Dysfunction in Patients with Type 2 Diabetes Mellitus
Jae-Seung Yun, Seung-Hyun Ko, Ji-Hoon Kim, Keon-Woong Moon, Yong-Moon Park, Ki-Dong Yoo, Yu-Bae Ahn
Diabetes Metab J. 2013;37(6):488-488.   Published online December 12, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.6.488
  • 3,143 View
  • 29 Download
  • 2 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Endothelial dysfunction and cardiovascular diseases: The role of human induced pluripotent stem cells and tissue engineering
    Mary H. C. Florido, Nicholas P. Ziats
    Journal of Biomedical Materials Research Part A.2024; 112(8): 1286.     CrossRef
  • The Association of Systemic Endothelial Dysfunction With Diffuse Diabetic Macular Edema
    Nikolaos Gouliopoulos, Gerasimos Siasos, Evangelos Oikonomou, Spyros Sapounas, Alexandros Rouvas, Apostolos C. Ziogas, Marilita M Moschos, Dimitris Tousoulis
    Angiology.2024;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP