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Original Article
Therapeutic Target Achievement in Type 2 Diabetic Patients after Hyperglycemia, Hypertension, Dyslipidemia Management
Ah Young Kang, Su Kyung Park, So Young Park, Hye Jeong Lee, Ying Han, Sa Ra Lee, Sung Hwan Suh, Duk Kyu Kim, Mi Kyoung Park
Diabetes Metab J. 2011;35(3):264-272.   Published online June 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.3.264
  • 10,074 View
  • 35 Download
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

Our study group established "3H care" in 2002. The meaning of "3H care" attain and maintain adequate controls over hypertension, hyperlipidemia, and hyperglycemia in type 2 diabetic patients. This study evaluated the achievement of target goals after one year or more of "3H care" by specialists in our diabetic clinic.

Methods

This was a retrospective study of 200 type 2 diabetic patients who received "3H care" for one year or more in our diabetic clinic. We evaluated achievement of target goals for metabolic controls as suggested by the American Diabetes Association.

Results

Overall, 200 type 2 diabetes patients were enrolled, of whom 106 were males (53%) and 94 were females (47%). After one year of "3H care," the mean HbA1c was 7.2±1.5% and the percentage of patients achieving glycemic control (HbA1c <7%) was 51.8%. However only 32.2% of hypertensive patients achieved the recommended target. After one year of "3H care," the percentages of those who achieved the target value for dyslipidemia were 80.0% for total cholesterol, 66.3% for low density lipoprotein cholesterol, 57.9% for triglyceride, and 51.8% for high density lipoprotein cholesterol. The percentage that achieved all three targets level was only 4.4% after one year and 14.8% after two years.

Conclusion

The results of this study demonstrate that only a minor proportion of patients with type 2 diabetes achieved the recommended goals despite the implementation of "3H care." It is our suggestion that better treatment strategies and methods should be used to control hypertension, hyperlipidemia and hyperglycemia.

Citations

Citations to this article as recorded by  
  • Achievement of the ABC goal among Canadians with type 2 diabetes and the influence of physical activity: data from the Canadian Health Measures Survey
    Alexis Marcotte-Chénard, René Maréchal, Ahmed Ghachem, Alan Cohen, Eléonor Riesco
    Applied Physiology, Nutrition, and Metabolism.2023; 48(9): 657.     CrossRef
  • Poor Adherence to Common Recommendations and Associated Factors among Outpatients with Type 2 Diabetes Mellitus in a Police Hospital of Ethiopia
    Tariku Shimels, Melesse Abebaw, Gebremedhin Beedemariam Gebretekle
    Journal of Social Health and Diabetes.2021; 9(01): e8.     CrossRef
  • Prevalence and correlation of glycemic control achievement in patients with type 2 diabetes in Iraq: A retrospective analysis of a tertiary care database over a 9-year period
    Abbas Ali Mansour, Nassar T.Y. Alibrahim, Haider A. Alidrisi, Ali H. Alhamza, Ammar M. Almomin, Ibrahim Abbood Zaboon, Muayad Baheer Kadhim, Rudha Naser Hussein, Hussein Ali Nwayyir, Adel Gassab Mohammed, Dheyaa K.J. Al-Waeli, Ibrahim Hani Hussein
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(3): 265.     CrossRef
  • Notoginsenoside R1 Ameliorates Diabetic Retinopathy through PINK1-Dependent Activation of Mitophagy
    Ping Zhou, Weijie Xie, Xiangbao Meng, Yadong Zhai, Xi Dong, Xuelian Zhang, Guibo Sun, Xiaobo Sun
    Cells.2019; 8(3): 213.     CrossRef
  • Association of Self-Reported Dietary and Drug Compliance with Optimal Metabolic Control in Patients with Type 2 Diabetes: Clinic-Based Single-Center Study in a Developing Country
    Thilak Priyantha Weerarathna, Miyuru Kavinda Weerarathna, Vidarsha Senadheera, Herath Mudiyanselage Meththananda Herath, Gayani Liyanage
    Journal of Nutrition and Metabolism.2018; 2018: 1.     CrossRef
  • Prevalence of primary aldosteronism among patients with type 2 diabetes
    Mauro Tancredi, Gudmundur Johannsson, Björn Eliasson, Robert Eggertsen, Ulf Lindblad, Sofia Dahlqvist, Henrik Imberg, Marcus Lind
    Clinical Endocrinology.2017; 87(3): 233.     CrossRef
  • GS-E3D, a new pectin lyase-modified red ginseng extract, inhibited diabetes-related renal dysfunction in streptozotocin-induced diabetic rats
    Chan-Sik Kim, Kyuhyung Jo, Jin Sook Kim, Mi-Kyung Pyo, Junghyun Kim
    BMC Complementary and Alternative Medicine.2017;[Epub]     CrossRef
  • Ursodeoxycholic acid and 4-phenylbutyrate prevent endoplasmic reticulum stress-induced podocyte apoptosis in diabetic nephropathy
    Ai-Li Cao, Li Wang, Xia Chen, Yun-Man Wang, Heng-Jiang Guo, Shuang Chu, Cheng Liu, Xue-Mei Zhang, Wen Peng
    Laboratory Investigation.2016; 96(6): 610.     CrossRef
  • Ursodeoxycholic Acid Ameliorated Diabetic Nephropathy by Attenuating Hyperglycemia-Mediated Oxidative Stress
    Aili Cao, Li Wang, Xia Chen, Hengjiang Guo, Shuang Chu, Xuemei Zhang, Wen Peng
    Biological & Pharmaceutical Bulletin.2016; 39(8): 1300.     CrossRef
  • Withania coagulansFruit Extract Reduces Oxidative Stress and Inflammation in Kidneys of Streptozotocin-Induced Diabetic Rats
    Shreesh Ojha, Juma Alkaabi, Naheed Amir, Azimullah Sheikh, Ahmad Agil, Mohamed Abdelmonem Fahim, Abdu Adem
    Oxidative Medicine and Cellular Longevity.2014; 2014: 1.     CrossRef
  • Assessment of cardiometabolic risk and prevalence of meeting treatment guidelines among patients with type 2 diabetes stratified according to their use of insulin and/or other diabetic medications: results from INSPIRE ME IAA
    J. Smith, J.‐A. Nazare, A.‐L. Borel, P. Aschner, P. J. Barter, L. Van Gaal, Y. Matsuzawa, T. Kadowaki, R. Ross, C. Brulle‐Wohlhueter, N. Alméras, S. M. Haffner, B. Balkau, J.‐P. Després
    Diabetes, Obesity and Metabolism.2013; 15(7): 629.     CrossRef
  • Are PPAR alpha agonists a rational therapeutic strategy for preventing abnormalities of the diabetic kidney?
    Pitchai Balakumar, Supriya Kadian, Nanjaian Mahadevan
    Pharmacological Research.2012; 65(4): 430.     CrossRef
Letter
Cause-of-Death Trends for Diabetes Mellitus over 10 Years (Korean Diabetes J 33(1):65-72, 2009).
Su Kyung Park, Duk Kyu Kim
Korean Diabetes J. 2009;33(2):166-166.   Published online April 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.2.166
  • 1,345 View
  • 16 Download
AbstractAbstract PDF
No abstract available.
Original 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
  • 2,637 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

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  • 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
Prevalence of Metabolic Syndrome in Type 2 DM Patients with Non-alcoholic Fatty Liver.
Ji Min Kim, Ja Young Park, Hyn Kyung Nam, Ja Won Kim, Su Kyung Park, Kyung Jin Nam, Mi Kyoung Park, Hye Jeong Lee, Duk Kyu Kim
Korean Diabetes J. 2006;30(6):442-449.   Published online November 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.6.442
  • 2,012 View
  • 16 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
Non-alcoholic fatty liver is rendered as one component of metabolic syndrome (MS). We evaluated the prevalence of MS as well as clinical and laboratory characteristics of Type 2 DM patients with non-alcoholic fatty liver. METHODS: Fatty liver group (n = 71) who showed significant fatty change by ultrasonography and age, sex matched control group (n = 40) were studied retrospectively. We compared demographic and laboratory findings and prevalence of MS by modified WHO criteria and new IDF criteria between both groups. RESULTS: There were no significant difference in age, DM duration, BMI, prevalence of hypertension, coronary artery disease, CVA, diabetic retinopathy, neuropathy, nephropathy between both groups. In fatty liver group, the plasma level of FBS, TG, ALT, total protein, albumin and GGT were significantly higher than those of control group (P = 0.033, P = 0.000, P = 0.002, P = 0.008, P = 0.003, P = 0.001). The plasma levels of HDL-C in fatty liver group were significantly lower than those of control group (P = 0.013). The plasma level of FBS, FFA, TG, total protein, albumin, ALT, HOMA(IR) and BMI were significantly related to the severity of fatty liver. The prevalence of MS in fatty liver group was significantly higher than that of control group by modified WHO criteria (P = 0.001) or new IDF criteria (P = 0.036). CONCLUSION: Type 2 DM patients with nonalcoholic fatty liver frequently accompanied the metabolic syndrome. They showed nonspecific changes in the liver function tests.

Citations

Citations to this article as recorded by  
  • Cardio-Metabolic Features of Type 2 Diabetes Subjects Discordant in the Diagnosis of Metabolic Syndrome
    Sa Rah Lee, Ying Han, Ja Won Kim, Ja Young Park, Ji Min Kim, Sunghwan Suh, Mi-Kyoung Park, Hye-Jeong Lee, Duk Kyu Kim
    Diabetes & Metabolism Journal.2012; 36(5): 357.     CrossRef
  • Metabolic Syndrome and Serum Alanine Aminotransferase Levels in Korean Adults : The Third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005.
    Mi Ah Han, So Yeon Ryu, Jong Park, Myung Geun Kang, Ki Soon Kim
    Korean Journal of Epidemiology.2008; 30(1): 25.     CrossRef

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