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Kwang Jae Lee  (Lee KJ) 2 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
  • 2,706 View
  • 42 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
Simple Diagnostic Method of Diabetic Distal Polyneuropathy in Type 2 Diabetics.
Chi Hak Kim, Kyung Il Lee, Sang Gil Han, Jeong Ho Heo, Kwang Jae Lee
Korean Diabetes J. 1998;22(4):561-567.   Published online January 1, 2001
  • 863 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
Early diagnosis of diabetic distal polyneuropathy, a common chronic complication of diabetes mellitus, is important in the management of diabetes mellitus. Michigan Diabetic Neuropathy Score(MDNS) is a good method for diagnosis of this complication but requires many check lists witb nerve conduction study, which may be troublesome in outpatients. This study was performed to investigate simple and convenient diagnostic means which can be substituted with MDNS. METHODS: 41 patients with type 2 diabetes mellitus were assessed with MDNS which include toe 128 Hz tuning fork test, 10 g filament test, pin wheel test and nerve conduction velocity(NCV). Additionally, l28 Hz tuning fork test, l0 g filament test, pin wheel test on fingers and Tacticon and vibration perception test with Bio-thesiometer on toes and fingers were performed. RESULTS: Toe and finger 128 Hz tuning fork, Tacticon and Bio-thesiometer tests were highly concordant with MDNS(kappa>0.40). Also combined tests such as toe and finger 128Hz tuning fork- Tacticon test and Tacticon-Bio-thesiometer test were highly concordant with MDNS(kappa > 0.40) and more sensitive than single tests. CONCLUSION: The results indicate that finger 128 Hz tuning fork - Tacticon combined test is good, simple and convenient in the diagnosis of diabetic distal polyneurapathy.

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