- Cardiovascular Autonomic Neuropathy in Patients with Type 2 Diabetes Mellitus.
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Seung Hyun Ko, Hyuk Sang Kwon, Jung Min Lee, Sung Rae Kim, Jae Hyung Cho, Ki Dong Yoo, Yong Moon Park, Won Chul Lee, Ki Ho Song, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Yu Bai Ahn
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Korean Diabetes J. 2006;30(3):226-235. Published online May 1, 2006
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DOI: https://doi.org/10.4093/jkda.2006.30.3.226
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- BACKGROUND
Diabetic autonomic neuropathy has a significant negative impact on survival and quality of life in type 2 diabetic patients. Especially cardiovascular autonomic neuropathy (CAN) is clinically important, because of its correlation to cardiovascular death. Therefore, we investigated the prevalence of CAN in Korean type 2 diabetic patients. METHODS: 1798 type 2 diabetic patients, 727 males and 1071 females, visited Diabetes Clinic at St. Vincent Hospital, Korea, were included from January 2001 to December 2005. Clinical evaluation, laboratory test and assessment of diabetic complication were completed. Standard test for CAN were performed: 1) heart rate variability (HRV) during deep breathing (E/I ratio) 2) Valsalva maneuver 3) 30:15 ratio 4) blood pressure response to standing. CAN score was determined according to the results of the test as following: 0 = normal, 1 = abnormal. RESULTS: Mean age and diabetic duration of patients were 56.7 +/- 10.9, and 9.4 +/- 7.5 years. Normal and abnormal CAN were detected in 815 (45.3%) and 983 (54.7%) of the patients, respectively. Abnormal E/I, valsalva, and 30:15 ratio were found in 333 (18.5%), 717 (39.9%), and 546 (30.4%) patients, respectively. Age, diabetic duration, postprandial hyperglycemia, HbA1c, C-reactive protein, and microalbumuria levels were significantly different between normal and abnormal CAN groups. 49 (6.0%) patients of normal and 100 (10.2%) patients of abnormal CAN group showed previous attack of stroke (P = 0.004). In addition, diabetic foot was more frequent in patients with CAN (normal vs. abnormal, 14 (1.7%) vs. 73 (7.4%), P < 0.05). CONCLUSION: CAN is frequently found in Korean type 2 diabetic patients. It was associated with diabetic duration, uncontrolled diabetes, increased albumin excretion rate, presence of retinopathy, postprandial hyperglycemia.
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- Effects of High-Dose α-Lipoic Acid on Heart Rate Variability of Type 2 Diabetes Mellitus Patients with Cardiac Autonomic Neuropathy in Korea
Sol Jae Lee, Su Jin Jeong, Yu Chang Lee, Yong Hoon Lee, Jung Eun Lee, Chong Hwa Kim, Kyung Wan Min, Bong Yun Cha Diabetes & Metabolism Journal.2017; 41(4): 275. CrossRef - Screening of Autonomic Neuropathy in Patients with Type 2 Diabetes
Bo Kyung Koo Diabetes & Metabolism Journal.2014; 38(5): 346. CrossRef - Decision trees and multi-level ensemble classifiers for neurological diagnostics
Herbert F. Jelinek, Jemal H. Abawajy, Andrei V. Kelarev, Morshed U. Chowdhury, Andrew Stranieri AIMS Medical Science.2014; 1(1): 1. CrossRef - Correlation between Predictors for Diabetic Gastroparesis and Gastric Emptying Scintigraphy
Kyung-Ju Lee, Kyoung-Ho Ryu, Jin-Ook Chung, Dong-Hyeok Cho, Dong-Jin Chung, Min-Young Chung Chonnam Medical Journal.2009; 45(3): 175. 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 - The Status of Diabetes Mellitus and Effects of Related Factors on Heart Rate Variability in a Community
Kyeong-Soon Chang, Kwan Lee, Hyun-Sul Lim Korean Diabetes Journal.2009; 33(6): 537. CrossRef
- Clustering Characteristics of Risk Variables of Metabolic Syndrome in Korean Rural Populations.
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Yong Moon Park, Hyuk Sang Kwon, Sun Young Lim, Jin Hee Lee, Sung Rae Kim, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Yong Gyu Park, Dong Suk Kim, Kwang ho Meng, Won Chul Lee
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Korean Diabetes J. 2006;30(3):177-189. Published online May 1, 2006
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DOI: https://doi.org/10.4093/jkda.2006.30.3.177
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2,633
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- BACKGROUND
The risks of both type 2 diabetes mellitus and cardiovascular disease are mainly associated with the metabolic syndrome which is characterized by clustering of metabolic risk factors, including abdominal obesity, glucose intolerance, hypertension, and dyslipidemia. This study aimed to examine the relations among metabolic risk variables and the underlying structure of the metabolic syndrome that unites related components. METHODS: Subjects were selected by stratified random cluster sampling among persons aged over 40 years from a rural area. Waist circumference, BMI, fasting glucose, fasting insulin, triglycerides, HDL cholesterol, systolic blood pressure, and diastolic blood pressure were used as risk variables of metabolic syndrome. Factor analysis, a multivariate correlation statistical technique, was performed on a dataset from nondiabetic 3,443 men and women without history of coronary heart disease. RESULTS: Exploratory factor analysis identified three factors in both gender (obesity, hypertension, and dyslipidemia-insulin resistance in men; obesity-insulin resistance, hypertension, and dyslipidemia in women). Fasting insulin was a common contributor to the structure of metabolic syndrome in male subjects, smokers and alcohol drinking group. Confirmatory factor analysis based on the results of exploratory factor analysis revealed that metabolic syndrome was represented primarily by obesity factor in men, obesity-insulin resistance factor in women, and that dyslipidemia factor was highly correlated with obesity factor in men, with insulin resistance factor in women. CONCLUSION: Underlying structure of metabolic syndrome was different between men and women, and obesity might be a primary target for prevention of both type 2 diabetes mellitus and cardiovascular disease in Korea.
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Citations
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- Disjoint factor analysis with cross-loadings
Maurizio Vichi Advances in Data Analysis and Classification.2017; 11(3): 563. CrossRef - Factors associated with control of blood pressure among elderly people diagnosed with hypertension in a rural area of South Korea: The Chungju Metabolic Disease Cohort Study (CMC study)
Hong-Seok Lee, Yong-Moon Park, Hyuk-Sang Kwon, Jin Hee Lee, Kun-Ho Yoon, Ho Young Son, Dong Suk Kim, Hyeon Woo Yim, Won-Chul Lee Blood Pressure.2010; 19(1): 31. CrossRef - Optimal Waist Circumference Cutoff Value Reflecting Insulin Resistance as a Diagnostic Criterion of Metabolic Syndrome in a Nondiabetic Korean Population Aged 40 Years and Over: The Chungju Metabolic Disease Cohort (CMC) Study
Yong-Moon Park, Hyuk-Sang Kwon, Sun Young Lim, Jin-Hee Lee, Kun-Ho Yoon, Ho-Young Son, Hyeon Woo Yim, Won-Chul Lee Yonsei Medical Journal.2010; 51(4): 511. CrossRef - Prevalence, Awareness, Treatment, and Control of Hypertension Among People Over 40 Years Old in a Rural Area of South Korea: The Chungju Metabolic Disease Cohort (CMC) Study
Hong-Seok Lee, Yong-Moon Park, Hyuk-Sang Kwon, Jin-Hee Lee, Young Joon Park, Sun Young Lim, Seung-Hwan Lee, Kun-Ho Yoon, Ho-Young Son, Dong Suk Kim, Hyeon Woo Yim, Won-Chul Lee Clinical and Experimental Hypertension.2010; 32(3): 166. CrossRef
- Effect of Captopril on Insulin Sensitivity for Subjects with Insulin Resistance.
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Hye Jung Lee, Hyuk Sang Kwon, Jin Hee Lee, Sung Koo Kang, Yoon Hee Choi, Sung Ha Hwang, Seung Hyun Ko, Jung Min Lee, Kun Ho Yoon, Bong Yun Cha, Won Chul Lee, Kwang Woo Lee, Ho Young Son
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Korean Diabetes J. 2004;28(5):416-424. Published online October 1, 2004
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Abstract
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- BACKGROUND
Angiotensin converting enzyme (ACE) inhibitors are becoming increasingly popular as the first-choice antihypertensive agents for diabetic patients. This could be partly related to their suggested beneficial effects on insulin sensitivity. This study was designed to compare the effect of captopril with that of control (nitrendipine) on insulin sensitivity for subjects with insulin resistance. METHODS: 24 subjects, aged less than 60 years, with their insulin resistance being defined as the area under the curve (AUCi) of insulin that was 2 standard deviations (SD) more than that of the control subjects during oral glucose tolerance test were recruited. A randomized, double-blind, crossover trial was conducted for an 8 weeks treatment period with captopril and the control (nitrendipine) that was given after an initial 6 weeks run-in period. Anthropometric measurement including weight, height, waist and hip circumference, blood pressure (systolic & diastolic), lipid profile blood chemistry, electrolytes levels & renal function testing, and frequently sampled intravenous glucose tolerance tests (FSIGT) for the insulin sensitivity index (SI) & acute insulin response to glucose (AIRg) were also done before and after treatment, respectively. RESULTS: 18 subjects (6 males, 12 females) completed the study. The mean age of the study subjects was 47.9+/-2.9 years (mean+/-SEM), and their BMI was 28.0+/-0.7 kg/m2 (mean+/-SEM).There was a significant decrease in weight (baseline; 71.5+/-9.2 kg vs. captopril; 70.7+/-9.0 kg and nitrendipine; 709+/-9.2 kg, p<0.05, respectively) and BMI (baseline; 28.0+/-3.0 kg/m2 vs. captopril; 27.7+/-2.8 kg/m2 and nitrendipine; 27.8+/-2.9 kg/m2, p<0.05, respectively) for both groups compared with the baseline, but there are no significant differences between the two groups. Triglyceride was significantly decreased after treatment with captopril compared to the baseline and nitrendipine (187.0+/-99.5 mg/dL vs. 224.5+/-134.2 mg/dL, respectively, p<0.05). The SI was significantly increased after captopril treatment compared with the baseline (1.4+/-1.0 vs. 2.5+/-0.8 min-1 per mU/ml, respectively, p<0.05), and the captopril group was significantly higher than that of nitrendipine (1.5+/-1.0 min-1 per mU/ml, p <0.05). Acute insulin response to glucose in both groups was also increased after treatment, but there was no statistically significance. CONCLUSION: Captopril therapy improved insulin sensitivity, and it decreased the concentration of fasting insulin in subjects with insulin resistance.
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