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Bo Hyun Kim  (Kim BH) 4 Articles
Cause-of-Death Trends for Diabetes Mellitus over 10 Years.
Su Kyung Park, Mi Kyoung Park, Ji Hye Suk, Mi Kyung Kim, Yong Ki Kim, In Ju Kim, Yang Ho Kang, Kwang Jae Lee, Hyun Seung Lee, Chang Won Lee, Bo Hyun Kim, Kyung Il Lee, Mi Kyoung Kim, Duk Kyu Kim
Korean Diabetes J. 2009;33(1):65-72.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.65
  • 2,621 View
  • 39 Download
  • 22 Crossref
AbstractAbstract PDF
BACKGROUND
Recently, diabetic mortality is lower than ever before, likely due to dramatic improvements in diabetes care. This study set to analyze changes in the cause of death in type 2 diabetes mellitus (T2DM) in the past 10 years. METHODS: All subjects were T2DM patients over the age of 30 whose death certificates were issued at six hospitals in the Busan metropolitan area from 2000 to 2004. The patients were excluded if they had been clinically diagnosed with significant tuberculosis, liver, thyroid, renal, connective tissue diseases and cancers, prior to T2DM diagnosis. We classified the cause of death into several groups by KCD-4. The results were compared with published data on the period from 1990 to 1994. RESULTS: The study comprised 680 patients, of which 374 (55.0%) were male. The average age of death was 66.3 +/- 10.7 years. The most common cause of death was cardiovascular disease (30.6%), followed by infectious disease (25.3%), cancer (21.9%), congestive heart failure (7.1%), renal disease (4.7%), liver disease (2.7%), and T2DM itself (1.9%). In the study from the earlier period, the most common cause of death was also cardiovascular disease (37.6%), followed by infectious disease (24.2%), T2DM (6.0%), liver disease (5.4%), cancer (4.7%), and renal disease (3.3%). CONCLUSION: Over both study periods, the first and second cause of death in T2DM were cardiovascular disease and infectious disease, respectively. However, death by cerebral infarction among cardiovascular disease patients was significantly lower in the latter period, while death by malignancy was markedly increased.

Citations

Citations to this article as recorded by  
  • The Socio-Economic Cost of Diabetes Mellitus in Korea Using National Health Insurance Claim Data, 2017
    Heesun Kim, Eun-Jung Kim
    Healthcare.2022; 10(9): 1601.     CrossRef
  • Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study
    Jeong Mi Kim, Sang Soo Kim, In Joo Kim, Jong Ho Kim, Bo Hyun Kim, Mi Kyung Kim, Soon Hee Lee, Chang Won Lee, Min Chul Kim, Jun Hyeob Ahn, Jinmi Kim
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • The Mentors, The Social Support and Patients with Diabetes Mellitus
    Yu Jeong Park
    The Journal of Korean Diabetes.2019; 20(2): 112.     CrossRef
  • How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique
    Jae-Cheol Park, Jea-Young Lee
    Journal of Applied Statistics.2018; 45(16): 2999.     CrossRef
  • Impact of change in job status on mortality for newly onset type II diabetes patients: 7 years follow-up using cohort data of National Health Insurance, Korea
    Donggyo Shin, Ji Man Kim, Tinyami Erick Tandi, Eun-Cheol Park
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2016; 10(1): S1.     CrossRef
  • Factors Associated with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: The Fifth Korea National Health and Nutrition Examination Survey (2010-2012)
    Jinhyun Park, Seungji Lim, Eunshil Yim, Youngdae Kim, Woojin Chung
    Health Policy and Management.2016; 26(2): 125.     CrossRef
  • Mortality and causes of death in a national sample of type 2 diabetic patients in Korea from 2002 to 2013
    Yu Mi Kang, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD
    Hyun Sang Park, Hune Cho, Hwa Sun Kim
    Healthcare Informatics Research.2015; 21(2): 83.     CrossRef
  • Cost-Utility Analysis of Screening Strategies for Diabetic Retinopathy in Korea
    Sang-Won Kim, Gil-Won Kang
    Journal of Korean Medical Science.2015; 30(12): 1723.     CrossRef
  • Quality characteristics of brown rice boiled with medicinal herbs extract for diabetes prevention
    Kyung-Mi Yang, Jung-Ran Park, Su-Jung Hwang
    Korean Journal of Food Preservation.2014; 21(1): 55.     CrossRef
  • Does Diabetes Mellitus Influence Standardized Uptake Values of Fluorodeoxyglucose Positron Emission Tomography in Colorectal Cancer?
    Da Yeon Oh, Ji Won Kim, Seong-Joon Koh, Mingoo Kim, Ji Hoon Park, Su Yeon Cho, Byeong Gwan Kim, Kook Lae Lee, Jong Pil Im
    Intestinal Research.2014; 12(2): 146.     CrossRef
  • The Relationship between Metformin and Cancer in Patients with Type 2 Diabetes
    Hyun Hee Chung, Jun Sung Moon, Ji Sung Yoon, Hyoung Woo Lee, Kyu Chang Won
    Diabetes & Metabolism Journal.2013; 37(2): 125.     CrossRef
  • Relationship between Milk and Calcium Intake and Lipid Metabolism in Female Patients with Type 2 Diabetes
    JaeHee Kim, Ji-Yun Hwang, Ki Nam Kim, Young-Ju Choi, Namsoo Chang, Kap-Bum Huh
    Yonsei Medical Journal.2013; 54(3): 626.     CrossRef
  • Comorbidity Study on Type 2 Diabetes Mellitus Using Data Mining
    Hye Soon Kim, A Mi Shin, Mi Kyung Kim, Yoon Nyun Kim
    The Korean Journal of Internal Medicine.2012; 27(2): 197.     CrossRef
  • Glucose, Blood Pressure, and Lipid Control in Korean Adults with Diagnosed Diabetes
    Sun-Joo Boo
    Korean Journal of Adult Nursing.2012; 24(4): 406.     CrossRef
  • A Comparative Study of Eating Habits and Food Intake in Women with Gestational Diabetes according to Early Postpartum Glucose Tolerance Status
    You Jeong Hwang, Bo Kyung Park, Sunmin Park, Sung-Hoon Kim
    Diabetes & Metabolism Journal.2011; 35(4): 354.     CrossRef
  • Diabetes and Cancer: Is Diabetes Causally Related to Cancer?
    Sunghwan Suh, Kwang-Won Kim
    Diabetes & Metabolism Journal.2011; 35(3): 193.     CrossRef
  • The Association between Type 2 Diabetes Mellitus and Colorectal Cancer
    Byeong Do Yi, Young Pil Bae, Bong Gun Kim, Jong Wha Park, Dong Hyun Kim, Ja Young Park, Seong Ho Choi, Hee Seung Park, Jae Seung Lee, Chang Won Lee, Sang Soo Kim, Bo Hyun Kim, Moon Ki Choi, In Joo Kim
    Endocrinology and Metabolism.2011; 26(2): 126.     CrossRef
  • The Hypoglycemic Effect of Complex of Chinese Traditional Herbs (CTH) and Macelignan in Type 2 Diabetic Animal Model

    Journal of Life Science.2010; 20(7): 1113.     CrossRef
  • The Relationship Between Coronary Artery Calcification and Serum Apolipoprotein A-1 in Patients with Type 2 Diabetes
    Hyun Ae Seo, Yeon Kyung Choi, Jae Han Jeon, Jung Eun Lee, Ji Yun Jeong, Seong Su Moon, In Kyu Lee, Bo Wan Kim, Jung Guk Kim
    Korean Diabetes Journal.2009; 33(6): 485.     CrossRef
  • Epidemiologic Characteristics of Diabetes Mellitus in Korea: Current Status of Diabetic Patients Using Korean Health Insurance Database
    Ie Byung Park, Sei Hyun Baik
    Korean Diabetes Journal.2009; 33(5): 357.     CrossRef
  • Cause-of-Death Trends for Diabetes Mellitus over 10 Years (Korean Diabetes J 33(1):65-72, 2009)
    Hae Jin Kim
    Korean Diabetes Journal.2009; 33(2): 164.     CrossRef
Determinants of 1-Year Changes of Brachial Ankle Pulse Wave Velocity (baPWV) in Patients with Type 2 Diabetes Mellitus.
Kyung Won Yun, Bo Hyun Kim, Young Pil Bae, Byeong Do Yi, Seung Woo Lee, Hong Kyu Lim, Yeon Sik Ryu, Chang Won Lee
Korean Diabetes J. 2008;32(4):346-357.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.346
  • 2,349 View
  • 19 Download
  • 4 Crossref
AbstractAbstract PDF
BACKGROUND
Cardiovascular disease is the leading cause of mortality in type 2 diabetes. PWV correlates well with arterial distensibility and stiffness and a useful approach for evaluating the severity of systemic atherosclerosis in adults, and, in particular, the measurement of brachial-ankle PWV (baPWV) has been commonly reported as a simple, noninvasive and practicable method. baPWV was mainly affected by age, SBP and sex. And also, baPWV was affected by many different factors such as body weight, BMI, waist to hip ratio, HbA1c, microalbuminuria, triglyceride, gammaGTP, duration of DM. We evaluated determinants of 1-year changes of baPWV in patients with type 2 DM. METHODS: The study group comprised 189 diabetic patients who measured ankle brachial pressure index (ABI), baPWV at base line and 1-year later. The anthropometric parameters, blood pressure, pulse pressure, fasting plasma glucose (FBS), fasting insulin, A1c, lipid profile, hsCRP, microalbuminuria, AST/ALT, gammaGTP were also checked concurrently. We also analyzed correlation between change of baPWV and subject's medications. We retrospectively analyzed the relationship between the 1-year changes of baPWV and the other factors. All analyses were performed with the SPSS Version 14.0 and P values < 0.05 were considered significant. RESULTS: baPWV change was affected by systolic blood pressure change, diastolic blood pressure change, pulse pressure change, body weight, BMI, triglyceride change, insulin treatment and total cholesterol. Multiple regression analysis of the relationship between change of baPWV and other associated variables shows that the 1-year change of baPWV was significantly associated with the changes of blood pressure and insulin treatment in patients with type 2 DM. CONCLUSION: 1-year change of baPWV was significantly associated with the changes of blood pressure in patients with type 2 DM.

Citations

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  • Independent association between glycated hemoglobin and arterial stiffness in healthy men
    Jin‐Won Noh, Eun‐Jung Kim, Hyun‐Ju Seo, Soo Geun Kim
    Journal of Diabetes Investigation.2016; 7(2): 241.     CrossRef
  • Determinants of Follow-up Changes of Brachial Ankle Pulse Wave Velocity in Korean Women
    Dae Young Kim, Sung Yeol Kong, Sung Ja Lee, Ha Do Song, Eun Jin Han, Ji Hoon Yang, Ji Yeon Kim, Dong Hyun Lee, Hyun Ho Shin
    Journal of the Korean Society of Hypertension.2012; 18(4): 154.     CrossRef
  • Relationships between Cardiac Autonomic Neuropathy and the Brachial-ankle Pulse Wave Velocity in Patients with Type 2 Diabetes
    Young Pil Bae, Byeong Do Yi, Bong-Gun Kim, Jong-Hwa Park, Yong Seop Kwon, Ja Young Park, Chang Won Lee, Bo Hyun Kim, Jae-Sik Jang
    Endocrinology and Metabolism.2011; 26(1): 44.     CrossRef
  • The Association of Brachial-Ankle Pulse Wave Velocity with Acute Postprandial Hyperglycemia in Korean Prediabetic and Diabetic Subjects
    Chul Woo Ahn
    Korean Diabetes Journal.2010; 34(5): 284.     CrossRef
Oxidative Stress Causes Vascular Insulin Resistance in OLETF Rat Through Increased IRS-1 Degradation.
Jung Lae Park, Young Sil Lee, Bo Hyun Kim, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
Korean Diabetes J. 2007;31(1):22-32.   Published online January 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.1.22
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  • 17 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
Insulin resistance and oxidative stress have been reported to play essential pathophysiological roles in diabetic cardiovascular complication. The relationship between insulin resistance and oxidative stress in vasculature remains unclear. The study was conducted to assess whether oxidative stress induce vascular insulin resistance in OLETF rat, a model of type 2 diabetes METHODS: We used OLETF rats (20/30/40 weeks, n = 5/5/5), as models of type 2 DM, and LETO rats (20/30/40 weeks, n = 5/5/5) as controls. Aortas of each rats were extracted. Superoxide anion production was detected by NBT assay and lucigenin assay. 8-hydroxyguanosine (OHdG) and nitrotyrosine were detected as markers of oxidative stress in 20 and 40 weeks groups. The glucose uptake of aortas was measured by detecting 2-deoxyglucose uptake in both groups. The expression of IR, IRS-1, PI3-K and Akt/PKB were detected by immuno precipitation and immunoblotting in 20, 30 and 40 weeks groups RESULTS: Superoxide anion production and markers of oxidative stress (8-OHdG, nitrotyrosine) were significantly increased in aortas of OLETF rats compared with controls. Aortas of OLETF rats exhibited decreased IRS-1 content and increased phosphorylation of IRS-1 at Ser307 compared with LETO rats. There were no significant differences in expressions of IR, PI3-K and Akt/PKB between two groups CONCLUSION: These results suggest that oxidative stress induces insulin resistance in vasculature of OLETF rat specifically through increasing serine phosphorylation of IRS-1 and its degradation by a proteasome-dependent pathway, providing an alternative mechanism that may explain the association with insulin resistance and diabetic vascular complications.

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  • Anti-diabetic effects of benfotiamine on an animal model of type 2 diabetes mellitus
    Kang Min Chung, Wonyoung Kang, Dong Geon Kim, Hyun Ju Hong, Youngjae Lee, Chang-Hoon Han
    Korean Journal of Veterinary Research.2014; 54(1): 21.     CrossRef
High Glucose Modulates Vascular Smooth Muscle Cell Proliferation Through Activation of PKC-sigma-dependent NAD(P)H oxidase.
Bo Hyun Kim, Chang Won Lee, Jung Lae Park, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
Korean Diabetes J. 2006;30(6):416-427.   Published online November 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.6.416
  • 1,859 View
  • 17 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
Oxidative stress is thought to be one of the causative factors contributing to macrovascular complications in diabetes. However, the mechanisms of development and progression of diabetic vascular complications are poorly understood. We hypothesized that PKC-sigma isozyme contributes to ROS generation and determined their roles in the critical intermediary signaling events in high glucose-induced proliferation of vascular smooth muscle (VSM) cells. METHODS: We treated primary cultured rat aortic smooth muscle cells for 72 hours with medium containing 5.5 mmol/L D-glucose (normal glucose), 30 mmol/L D-glucose (high glucose) or 5.5 mmol/L D-glucose plus 24.5 mmol/L mannitol (osmotic control). We then measured cell number, BrdU incorporation, cell cycle and superoxide production in VSM cells. Immunoblotting of PKC isozymes using phoshospecific antibodies was performed, and PKC activity was also measured. RESULTS: High glucose increased VSM cell number and BrdU incorporation and displayed significantly greater percentages of S and G2/M phases than compared to 5.5 mmol/L glucose and osmotic control. The nitroblue tetrazolium (NBT) staining in high glucose-treated VSM cell was more prominent compared with normal glucose-treated VSM cell, which was significantly inhibited by DPI (10 micrometer), but not by inhibitors for other oxidases. High glucose also markedly increased activity of PKC-sigma isozyme. When VSM cells were treated with rottlerin, a specific inhibitor of PKC-sigma or transfected with PKC-sigma siRNA, NBT staining and NAD(P)H oxidase activity were significantly attenuated in the high glucose-treated VSM cells. Furthermore, inhibition of PKC-sigma markedly decreased VSM cell number by high glucose. CONCLUSION: These results suggest that high glucose-induced VSM cell proliferation is dependent upon activation of PKC-sigma, which may responsible for elevated intracellular ROS production in VSM cells, and this is mediated by NAD(P)H oxidase.

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  • High Glucose and/or Free Fatty Acid Damage Vascular Endothelial Cells via Stimulating of NAD(P)H Oxidase-induced Superoxide Production from Neutrophils
    Sang Soo Kim, Sun Young Kim, Soo Hyung Lee, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
    Korean Diabetes Journal.2009; 33(2): 94.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal