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Chang Won Lee  (Lee CW) 5 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
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  • 62 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
  • 2,892 View
  • 21 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
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
  • 2,466 View
  • 35 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
Study on the Mechanism of Neutrophil Adhesion to Retinal Capillary Endothelial Cells under High Glucose Condition.
Seok Man Son, Young Sil Lee, Chang Won Lee, Seok Dong Yoo, In Ju Kim, Yong Ki Kim
Korean Diabetes J. 2001;25(1):35-49.   Published online February 1, 2001
  • 1,059 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
Diabetic retinopathy is a leading cause of adult vision loss and blindness. Much of the retinal damage that characterizes the disease results from retinal vascular leakage and occlusion. Capillary occlusion is the result of microvascular thrombi in which erythrocytes, platelets and leukocytes each may play a major role. Thus, we investigated the pathogenesis of leukocyte stasis by exposing bovine retinal capillary endothelial cells (BRCECs) for high glucose concentration. METHODS: We examined the adhesion of neutrophils to BRCECs incubated in media containing 5.5-30 mmol/L D-glucose for 24 hours. We also measured the expression of E-selectin on endothelial cells and the activation of NF(nuclear transcription factor)-kappaB in nuclear fractions of endothelial cells by using electrophoretic mobility shift assay. RESULTS: We observed that 30 mmol/L D-glucose significantly increased the adhesion of neutrophils to BRCECs (12.5% vs. 3.0%, p<0.01) and migration of neutrophil across cultured BRCEC monolayers (41.0% vs. 21.0%, p<0.05) in respect to 5.5 mmol/L D-glucose. The expression of E-selectin was increased incubated with 30 mmol/L D-glucose compared with 5.5 mmol/L D-glucose (1.45 OD vs. 0.54 OD, p<0.01). Electrophoretic mobility shift assay of nuclear extracts of BRCECs exposed for 24 h to 30 mmol/L D-glucose revealed an intense NF-kappaB activation compared with cells cultured in 5.5 mmol/L D-glucose (8.72x104 countsxmm2 vs.1.88x104 countsxmm2, p<0.01). CONCLUSION: These results suggest that high glucose concentration promote neutrophil adhesion to the BRCECs through upregulation of cell surface expression of E-selectin, possibly depending on NF-kappaB activation and may have implications for the induction of microvasculopathy of diabetic retinopathy.
Solyble ICAM-1 and BCAM-1 in Patients with NIDDM.
Young Min Kim, Yong Gi Kim, Seok Man Son, In Ju Kim, Seok Dong Yoo, Young Keun Choi, Chang Won Lee, Jun Hyup Ahn
Korean Diabetes J. 1999;23(3):315-325.   Published online January 1, 2001
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AbstractAbstract PDF
BACKGROUND
The development of vascular complications in diabetic patients changess their quality of life, as well as shortens their life expectancy. It has been recently discovered that the expressions of the cell adhesion molecules initiate vascular complications and have major effects on the progress of atherosclerosis. We measured soluble forms of intercelluar adhesion molecule-1 (sICAM-1) and vascular cell adhesion molecule-1 (sVCAM-1), the immunoglobulin superfamily members of the cell adhesion molecules concerning firm adhesion and transendothelial migration during leukocyte- endothelial cell interactions to clarify their concentrations and their relation with glycemic control and plasma lipoproteins as well as differences in concentration according to the presence of diabetic microvascular complcations in non-insulin dependent diabetes mellitus (NIDDM) patients. METHODS: Serum sICAM-1and sVCAM-1 levels were measured by commercial ELISA kits in 35 NIDDM patients without overt macrovascular complications of diabetes or acute inflammation and 10 normal controls matched with body mass index and plasma lipoprotein levels. The mean age of the patient group and control group was 55.82+3.43 years and 46.30+15.15 years, respectively. Clinical characteristics and laboratory parameters such as fasting plasma glucose, HbAplasma lipoproteins and status of diabetic microvascular complications were evaluated and their relations with the levels of sICAM-1 and sVCAM-1 were analyzed. RESULTS: 1) The level of sICAM-1 in NIDDM patients was significantly higher than that of normal controls (15.79+6.21 ng/mL vs. 11.98+2.35, p<0.05). sVCAM-1 showed the trend in elevation in NIDDM patients, but had no statistical significance (p=0.053). 2) The level of soluble ICAM-1 was positively correlated with HbAlc>, and plasma triglyceride levels (r=0.38, p<0.05, r=0.36, p<0.05, respectively) and negatively correlated with HDL (r=-0.44, p<0.01) in the patient group. There were no differences in their age, sex, and the presence of hypertension with the levels of sICAM-1 and no relation between sICAM-1 level and body mass index, plasma total cholesterol, Lp (a), fasting plasma glucose, fasting plasma C-peptide levels. Plasma LDL was partially correlated with the level of sICAM-1, but failed to reveal statistical significance. sVCAM-1 level was not correlated with any parameters discussed above, but had a tendency of correlation with HbAlc level (r=0.31, p=0.06). 3) No significant correlation was noted between the levels of sICAM-1 or sVCAM-1 and the duration of diabetes. 4) Both sICAM-1 and sVCAM-1 levels were significantly higher in patients with diabetic nephropathy when compared to patients without nephropathy (21.58+7.11 ng/mL vs. 14.06+4.84 ng/mL, p<0.05, 37.51+16.91 ng/mL vs. 22.26+8.89 ng/mL, p<0.05, respectively, but such differences were not noted when patients were classifed according to the presence of retinopathy or neuropathy. 5) Both sICAM-1and sVCAM-1 levels did not correlate in the patient group or in the normal control group. CONCLUSION: These findings suggest that enhanced expression of the the endothelial cell adhesion molecules in diabetic patients can be explained by endothelial dysfunction caused by persistent hyperglycemia and dyslipidemia. Furthermore, it can be suggested that endothelial dysfunction may be initiated by diabetes itself and can be deteriorated by combined dyslipidemia. From the result of the elevated concentrations of sICAM-1 and sVCAM-1 in patients with diabetic nephropathy, we can suggest that the elevation of these cell adhesion molecules may be useful as markers in diabetic nephropathy. More selective and prospective studies are necessary in order to reveal thesignificance of these cell adhesion molecules in the pathogenesis of diabetic vascular complications.

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