Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
5 "Ki-Dong Yoo"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Articles
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
  • 3,669 View
  • 47 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
  • 4,458 View
  • 60 Download
  • 49 Web of Science
  • 57 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  
  • 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
  • 3,225 View
  • 34 Download
  • 20 Web of Science
  • 21 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
  • 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
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
  • 2,690 View
  • 23 Download
  • 1 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;[Epub]     CrossRef
Original Article
Diabetic Retinopathy and Endothelial Dysfunction in Patients with Type 2 Diabetes Mellitus
Jae-Seung Yun, Seung-Hyun Ko, Ji-Hoon Kim, Kun-Woong Moon, Yong-Moon Park, Ki-Dong Yoo, Yu-Bae Ahn
Diabetes Metab J. 2013;37(4):262-269.   Published online August 14, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.4.262
  • 3,905 View
  • 33 Download
  • 21 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the relationship between endothelial dysfunction and diabetic retinopathy (DR) in patients with type 2 diabetes.

Methods

We used a cross-sectional design to examine 167 patients with type 2 diabetes mellitus. All patients underwent biochemical and ophthalmological examination. We assessed endothelial dysfunction by a flow-mediated vasodilation method of the brachial artery. Changes in vasodilation (flow-mediated vasodilatation, %FMD) were expressed as percent change over baseline values.

Results

The mean±standard deviation of patient age was 54.1±8.6 years. The %FMD was significantly lower in patients with DR than without DR. The prevalence of retinopathy decreased across increasing tertiles of %FMD. After adjusting for patients' age, sex, diabetes duration, use of insulin, use of antihypertensive, antiplatelet, and lipid lowering medications, systolic blood pressure, fasting plasma glucose, 2-hour plasma glucose, glycated hemoglobin, and urinary albumin excretion, participants with a reduced %FMD were more likely to have DR (odds ratio, 11.819; 95% confidence interval, 2.201 to 63.461; P=0.004, comparing the lowest and highest tertiles of %FMD).

Conclusion

Endothelial dysfunction was associated with DR, which was most apparent when the endothelial dysfunction was severe. Our study provides insights into the possible mechanism of the influence of endothelial dysfunction on the development of DR.

Citations

Citations to this article as recorded by  
  • Effects of Methylenetetrahydrofolate Reductase (MTHFR) Polymorphisms on Retinal Tissue Perfusion in Mild Diabetic Retinopathy Patients Receiving the Medical Food, Ocufolin®
    Hong Jiang, Zhiping Liu, Justin H Townsend, Jianhua Wang
    Clinical Ophthalmology.2023; Volume 17: 1121.     CrossRef
  • Cardiometabolic risk factors, peripheral arterial tonometry and metformin in adults with type 1 diabetes participating in the REducing with MetfOrmin Vascular Adverse Lesions trial
    David Chen, Alicia J Jenkins, Nicola Greenlaw, Katie Dudman, Tamsin Fernandes, David M Carty, Alun D Hughes, Andrzej S Januszewski, Coen DA Stehouwer, John R Petrie
    Diabetes and Vascular Disease Research.2023;[Epub]     CrossRef
  • Micro (mi) RNA and Diabetic Retinopathy
    Sadashiv, Praveen Sharma, Shailendra Dwivedi, Sunita Tiwari, Pankaj Kumar Singh, Amit Pal, Sandeep Kumar
    Indian Journal of Clinical Biochemistry.2022; 37(3): 267.     CrossRef
  • Ethnomedicinal Value of Antidiabetic Plants in Bangladesh: A Comprehensive Review
    Md. Masudur Rahman, Md. Josim Uddin, A. S. M. Ali Reza, Abu Montakim Tareq, Talha Bin Emran, Jesus Simal-Gandara
    Plants.2021; 10(4): 729.     CrossRef
  • Relating Retinal Vascular Oxygen Saturation and Microvasculature Morphology at Progressive Stages of Diabetic Retinopathy
    Selin L. Auvazian, Jennifer Cano, Sophie Leahy, Preny Karamian, Amir Kashani, Andrew Moshfeghi, Hossein Ameri, Norman P. Blair, Mahnaz Shahidi
    Translational Vision Science & Technology.2021; 10(6): 4.     CrossRef
  • Renalase gene Glu37Asp polymorphism affects susceptibility to diabetic retinopathy in type 2 diabetes mellitus
    Monika Buraczynska, Karolina Gwiazda-Tyndel, Bartłomiej Drop, Wojciech Zaluska
    Acta Diabetologica.2021; 58(12): 1595.     CrossRef
  • Endothelium as a Therapeutic Target in Diabetes Mellitus: From Basic Mechanisms to Clinical Practice
    Anastasios Tentolouris, Ioanna Eleftheriadou, Evangelia Tzeravini, Dimitrios Tsilingiris, Stavroula A. Paschou, Gerasimos Siasos, Nikolaos Tentolouris
    Current Medicinal Chemistry.2020; 27(7): 1089.     CrossRef
  • miR‐181a/b‐5p regulates human umbilical vein endothelial cell angiogenesis by targeting PDGFRA
    Tingting Sun, Linan Yin, Hongyu Kuang
    Cell Biochemistry and Function.2020; 38(2): 222.     CrossRef
  • The role of microRNAs in the healing of diabetic ulcers
    Golnaz Goodarzi, Mahmood Maniati, Durdi Qujeq
    International Wound Journal.2019; 16(3): 621.     CrossRef
  • Role of altered coagulation-fibrinolytic system in the pathophysiology of diabetic retinopathy
    Tapan Behl, Thirumurthy Velpandian, Anita Kotwani
    Vascular Pharmacology.2017; 92: 1.     CrossRef
  • Macular oedema as manifestation of diabetic retinopathy
    Mukharram M. Bikbov, Rinat R. Fayzrakhmanov, Rinat M. Zaynullin, Artur F. Zaynetdinov, Timur R. Gilmanshin, Marat R. Kalanov
    Diabetes mellitus.2017; 20(4): 263.     CrossRef
  • Shedding light on miR-26a: Another key regulator of angiogenesis in diabetic wound healing
    Carlos Zgheib, Kenneth W. Liechty
    Journal of Molecular and Cellular Cardiology.2016; 92: 203.     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
  • 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
  • Relationship of systemic endothelial function and peripheral arterial stiffness with diabetic retinopathy
    Laurence S Lim, Lieng H Ling, Chui Ming Gemmy Cheung, Peng Guan Ong, Lingli Gong, E Shyong Tai, Ranjana Mathur, Doric Wong, Wallace Foulds, Tien Yin Wong
    British Journal of Ophthalmology.2015; 99(6): 837.     CrossRef
  • Retinal Nerve Fiber Layer Loss Is Associated with Urinary Albumin Excretion in Patients with Type 2 Diabetes
    Jin A. Choi, Sun-Hee Ko, Yi Ryeung Park, Dong-Hyun Jee, Seung-Hyun Ko, Chan Kee Park
    Ophthalmology.2015; 122(5): 976.     CrossRef
  • Flow Mediated Dilatation Is Reduced with the Progressive Stages of Glomerular Filtration Rate and Albuminuria in Type 2 Diabetic Patients without Coronary Heart Disease
    Hiroyuki Ito, Mina Nakashima, Kentaro Meguro, Haruki Furukawa, Hitomi Yamashita, Akifusa Takaki, Chizuko Yukawa, Takashi Omoto, Masahiro Shinozaki, Shinya Nishio, Mariko Abe, Shinichi Antoku, Mizuo Mifune, Michiko Togane
    Journal of Diabetes Research.2015; 2015: 1.     CrossRef
  • The Role of MicroRNAs in Diabetic Complications—Special Emphasis on Wound Healing
    João Moura, Elisabet Børsheim, Eugenia Carvalho
    Genes.2014; 5(4): 926.     CrossRef
  • Role of AMP‐Activated Protein Kinase in Cancer Therapy
    Gauhar Rehman, Adeeb Shehzad, Abdul Latif Khan, Muhammad Hamayun
    Archiv der Pharmazie.2014; 347(7): 457.     CrossRef
  • Urinary albumin excretion rate: a risk factor for retinal hard exudates in macular region in type 2 diabetic patients
    Shaocheng Wang, Siyong Lin, Xi Cao, Yuezhong Zheng, Jinyang Wang, Na Lu, Jinkui Yang
    Chinese Medical Journal.2014; 127(12): 2293.     CrossRef
  • Letter: Diabetic Retinopathy and Endothelial Dysfunction in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2013;37:262-9)
    Seok Man Son
    Diabetes & Metabolism Journal.2013; 37(5): 391.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal