• Journal of Medicine and Life Science
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• v.17 no.2
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• pp.47-52
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• 2020

Glucagon regulates glucose and fat metabolism as well as being involved in the production of ketone bodies. The new antidiabetic drug, a sodium-glucose co-transporter-2 inhibitor, increases glucagon, and reduces the risk of cardiovascular death and hospitalization due to heart failure. The presence of metabolic syndrome is an important risk factor for cardiovascular diseases(CVD) in type 2 diabetes(T2DM) patients. We, thus, investigated the association between glucagon levels and metabolic syndrome in T2DM patients. This cross-sectional study involved 317 T2DM patients. Fasting and postprandial (30 min after ingestion of a standard mixed meal) glucagon levels were measured. Metabolic syndrome was defined according to the criteria of the International Diabetes Federation. A multiple regression logistic analysis was employed for statistical evaluation. A total of 219 (69%) subjects had metabolic syndrome. The fasting and postprandial glucagon levels did not differ between the group with metabolic syndrome and the group without. Postprandial glucagon levels increased significantly with the increase in the number of metabolic syndrome components, but the fasting levels did not. However, a hierarchical logistic regression analysis revealed that the postprandial glucagon levels did not contribute significantly to metabolic syndrome even after adjusting for other covariates. Fasting and postprandial glucagon levels are not associated with metabolic syndrome in T2DM patients. However, further studies are needed to investigate the relationship between glucagon and cardiovascular risk in patients with T2DM.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2583-2589
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• 2013

Purpose: Studies have indicated that diabetes mellitus (DM) is a risk factor for bladder cancer; however, not all evidence supports this conclusion. The aim of this meta-analysis was to collate and evaluate all primary observational studies investigating the risk of bladder cancer associated with DM. Methods: The PubMed and Google Scholar databases were searched to identify studies that estimated the association of DM and bladder cancer. Summary effect estimates were derived using a random-effects meta-analysis model. Results: A total of 23 studies (8 case-control studies, 15 cohort studies) including 643,683 DM and 4,819,656 non-DM cases were identified. Analysis of all studies showed that DM was associated with an increased risk of bladder cancer compared with non-DM overall (OR=1.68, 95% CI 1.32-2.13). Analysis of subgroups demonstrated this to be the case in both case-control studies (OR=1.59, 95% CI 1.28-1.97, $I^2$=58%) and cohort studies (RR=1.70, 95% CI 1.23-2.33, $I^2$=96%). There was no gender difference in DM-associated bladder cancer risk. Bladder cancer risk was increased in Asia and the North America region, but not in Europe. Furthermore, DM-associated bladder cancer risk was obviously higher in Asia than North America and Europe or in those with Caucasian ethnicity. With extension of follow-up time, the bladder cancer risk was not increased for the patients with DM. Conclusions: This meta-analysis provided further evidence supporting theDM association with a significantly higher risk of bladder cancer obtained from observational studies.

• Nutrition Research and Practice
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• v.5 no.1
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• pp.34-39
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• 2011

The purpose of this study was to assess vitamin $B_6$ intake and status in Korean patients with newly diagnosed type 2 diabetes. Sixty-four patients with newly diagnosed type 2 diabetes and 8-11% glycated hemoglobin (A1C), along with 28 age-matched non-diabetic subjects, participated. Dietary vitamin $B_6$ intake was estimated by the 24 hour recall method and plasma pyridoxal 5'-phosphate (PLP) was measured. There was a significant difference in daily total calorie intake between the diabetic and non-diabetic groups ($1,917{\pm}376$ vs $2,093{\pm}311\;kcal$). There were no differences in intake of total vitamin $B_6$ ($2.51{\pm}0.91$ vs $2.53{\pm}0.81\;mg/d$) or vitamin $B_6$/1,000 kcal ($1.31{\pm}0.42$ vs $1.20{\pm}0.32\;mg$) between the diabetic and non-diabetic groups, and I intakes of total vitamin $B_6$ were above the Korean RDA in both groups ($180.0{\pm}57.9$ vs $179.0{\pm}65.4$). There was a higher percentage of diabetic subjects whose plasma PLP concentration was < 30 nmol/L compared to non-diabetic group. Plasma PLP levels tended to be lower in the diabetic subjects than in the non-diabetic subjects, although the difference was not statistically significant due to a large standard deviation ($80.0{\pm}61.2\;nmol/L$ vs $68.2{\pm}38.5\;nmol/L$). Nevertheless, plasma PLP levels should be monitored in pre-diabetic patients with diabetic risk factors as well as in newly diagnosed diabetic patients for long-term management of diabetes, even though this factor is not a major risk factor that contributes to the development of degenerative complications in certain patients.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.3993-3996
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• 2014

Background: Diabetes is a chronic disease characterized by impaired fasting blood glucose that leads to disturbances in various organs. In this study, we evaluated relationships between tumor size and grade in a population of diabetic and non-diabetic patients with renal cell carcinoma. Materials and Methods: Between 2007-2013, in our clinic radical nephrectomy performed to 310 patients for renal tumors and pathology reported renal cell carcinoma cases were enrolled in the study. Patients with and without a history of diabetes regarding fasting glucose and HgA1c levels were evaluated during surgery for tumor size and Fuhrman grade. Results: Diabetes was found in 95 patients. The mean age of the patients with and without diabetes mellitus was 64.3 (40-79) and 58.4 (31-87) years, respectively. In the diabetes group 51% of patients had a tumor size over 7 cm and 54% a tumor grade over Fuhrman 3. The respective figures in the non-diabetes group were 35% and 30% (p<0.05 in both cases). Conclusions: Renal cancer appears more aggressive in patients with diabetes. In this study lifestyle and risk factors with diabetes regulation were observed to be important for renal cancer patients. Multicenter studies are needed in larger series for more accurate results.

• Korean Journal of Bronchoesophagology
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• v.17 no.2
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• pp.98-103
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• 2011

Purpose Pulmonary complications continue to be the major cause of morbidity and mortality after esophageal resection. The aim of this study was to compare and analyze retrospectively the factors which effect for postoperative pulmonary complications in patients who underwent curative resection for esophageal cancer. Material and Method A total of 118 patients were enrolled in the study from January 1994 to March 2009, and patients with previous neoadjuvant chemotherapy or radiotherapy were excluded. Of the total 118 patients, 27 patients developed pulmonary complications within 30 days of their operation. the factors which effect for postoperative pulmonary complications were compared and analyzed. Results There were 7 patients in-hospital deaths. 51 patients (43.2%) developed complications, and of them, the most common complication was pulmonary complication and occurred in 27 patients (22.9%). In univariate analysis, diabetes mellitus, cervical anastomosis through the retrosternal route, old age and poor lung function were risk factors contributing to postoperative pulmonary complications (p<0.05). In multivariate analysis, statistically significant factor was old age (65 years or older). Conclusion Clinical factor for the pulmonary complications after esophagectomy of esophageal cancer was significantly associated with diabetes mellitus, cervical anastomosis through the retrosternal route, old age (65 years or older) and poor lung function (FEV1<80%). Of these, old age was the most significant factor.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.5
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• pp.677-682
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• 2013

Impaired glucose tolerance(IGT) & Impaired fasting glucose(IFG) were standardized in 1979 by the National Diabetes Data Group and the World Health Organization as a risk factor for type 2 diabetes. The main clinical significance of IGT & IFG shows some risk factors on type 2 diabetes, cardiovascular disease and component of the metabolic syndrome. In 1997, the American Diabetes Association(ADA) proposed the new classification and diagnostic criteria for diabetes, which wss striction on the diagnostic baseline of Diabetes from 140 mg/dl to 126 mg/dl. This is because that the early diagnosis and treatments can prevent chronic complications. In the oriental medicine, Gamiyookmigihwang-tang has been using for the treatments of Diabetes including IGT & IFG; however, there have not been enough studies about the effect of the glycemic control objectively. So clinical studies have been performed on a mild DM(Diabetes Mellitus) patient with IGT and IFG in order to investigate whether there is hypoglycemic effect of Gamiyookmigihwang-tang. Prior to the study, for two weeks fasting blood sugar(FBS) and postprandial 2hrs(PP2hrs) glucose were checked. in addition ECG, T-cholesterol, TG, HbA1c levels were measured; then, Gamiyookmigihwang-tang has administrated for 4 weeks. and FBS, PP2hrs, T-cholesterol, TG, HbA1c were measured again after the herb medicine treatment. FBS, PP2hrs glucose levels and other measuring levels (T-cholesterol, TG, HbA1c) were decreased by the administration of Gamiyookmigihwang-tang. Gamiyookmigihwang-tang has hypoglycemic effects on a mild DM patient with IGT and IFG.

• Nutrition Research and Practice
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• v.3 no.4
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• pp.286-294
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• 2009

This study aimed to identify risk factors for type 2 diabetes (T2D) in Korea, a rapidly changing country. Data of 5,132 adults aged 20-85 were used from the 2001 Korean Health and Nutrition Examination Survey. Multiple logistic regression was carried out to identify risk factors for T2D. Three models were specified: (i) socioeconomic and demographic factors (model 1: age, gender, education, poverty income ratio, employment), (ii) behavioral risk factors and covariates (model 2: obesity, physical activity, smoking, alcohol drinking, dietary quality, family history of T2D, co-morbidity) and (iii) socioeconomic, demographic, and behavioral factors (model 3). The prevalence of T2D was 7.4%. Less education (OR 1.41, 95% CI 1.08-1.84), age (OR 2.19, 95% CI 1.56-3.08 in 40-59 yrs, OR 4.05, 95% CI 2.76-5.95 in 60 yrs + comparing to 20-39 yrs) and abdominal obesity (OR 2.24, 95% CI 1.79-2.82) were risk factors for T2D even after controlling for other factors simultaneously. There was a significant association of T2D with ever smoking (OR 1.34, 95% CI 1.06-1.67). The relationship of age with T2D was modified by gender in model 1 and the relationship of smoking with T2D was modified by obesity in model 2. Less educated, older, obese or ever smokers were more likely to have T2D. Gender mediated the relationship of age, and obesity mediated the relationship of smoking, with T2D. Intervention programs for T2D in Korea should take the interactions among risk factors into account.

• Journal of Yeungnam Medical Science
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• v.36 no.3
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• pp.183-191
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• 2019

Some patients with type 1 and type 2 diabetes mellitus (DM) present with cognitive dysfunctions. The pathophysiology underlying this complication is not well understood. Type 1 DM has been associated with a decrease in the speed of information processing, psychomotor efficiency, attention, mental flexibility, and visual perception. Longitudinal epidemiological studies of type 1 DM have indicated that chronic hyperglycemia and microvascular disease, rather than repeated severe hypoglycemia, are associated with the pathogenesis of DM-related cognitive dysfunction. However, severe hypoglycemic episodes may contribute to cognitive dysfunction in high-risk patients with DM. Type 2 DM has been associated with memory deficits, decreased psychomotor speed, and reduced frontal lobe/executive function. In type 2 DM, chronic hyperglycemia, long duration of DM, presence of vascular risk factors (e.g., hypertension and obesity), and microvascular and macrovascular complications are associated with the increased risk of developing cognitive dysfunction. The pathophysiology of cognitive dysfunction in individuals with DM include the following: (1) role of hyperglycemia, (2) role of vascular disease, (3) role of hypoglycemia, and (4) role of insulin resistance and amyloid. Recently, some investigators have proposed that type 3 DM is correlated to sporadic Alzheimer's disease. The molecular and biochemical consequences of insulin and insulin-like growth factor resistance in the brain compromise neuronal survival, energy production, gene expression, plasticity, and white matter integrity. If patients claim that their performance is worsening or if they ask about the effects of DM on functioning, screening and assessment are recommended.

• Journal of Trauma and Injury
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• v.32 no.1
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• pp.40-46
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• 2019

Purpose: We perform an analysis of infection risk factors for fracture patients and confirm that the risk factors reported in previous studies increase the risk of actual infection among fractured patients. In addition, injury severity score (ISS) which is used as an evaluation tool for morbidity of trauma patients, confirms whether there is a relationship with infection after orthopedic fracture surgery. Methods: We retrospectively reviewed 1,818 patients who underwent fixation surgery at orthopedic trauma team, focused trauma center from January 1, 2015 to December 31, 2017. Thirty-five patients were infected after fracture surgery. We analyzed age, sex, open fracture criteria based on Gustilo-Aderson classification 3b, anatomical location (upper extremity or lower extremity) of fracture, diabetes, smoking, ISS. Results: Of 1,818 patients, 35 (1.9%) were diagnosed with postoperative infection. Of the 35 infected patients, nine (25.7%) were female and five (14.0%) were upper extremity fractures. Three (8.6%) were diagnosed with diabetes and eight (22.8%) were smokers. Thirteen (37.1%) had ISS less than nine points and six (17.1%) had ISS 15 points or more. Of 1,818 patients, 80 had open fractures. Surgical site infection were diagnosed in 12 (15.0%) of 80. And nine of 12 were checked with Gustilo-Aderson classification 3b or more. Linear logistic regression analysis was performed using statistical analysis program Stata 15 (Stata Corporation, College Station, TX, USA). In addition, independent variables were logistic regression analyzed individually after Propensity scores matching. In all statistical analyzes, only open fracture was identified as a risk factor. Conclusions: The risk factors for infection in fracture patients were found to be significantly influenced by open fracture rather than the underlying disease or anatomical feature of the patient. In the case of ISS, it is considered that there is a limitation. It is necessary to develop a new scoring system that can appropriately approach the morbidity of fracture trauma patients.

• Health Policy and Management
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• v.16 no.2
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• pp.21-48
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• 2006

As prior studies indicate that chronic diseases are mainly attributed to health behavior, preventive health care rather than treatment for illness needs to improve health status. Since chronic conditions require long-term therapy, health care expenditures to treat chronic diseases have been substantial burden at national level. In this point of view, this study suggests that the health promotion program should be based on Knowledge Based System Using Data Mining Technique, we developed a predictive model for preventive healthcare management on diabetes mellitus. Generally, in the outbreak of diabetes mellitus there is a difference in lifestyle and the risk factors according to gender. So we developed a predictive model in accordance with gender difference and applied the Logistic Regression Model based on Data Mining process. The result of the study were as follow. The lift of the last predictive model was an average 2.23 times(male model : 2.13, female model 2.33) more improved than in the random model in upper 10% group. The health risk factors of diabetes mellitus are gender, age, a place of residence, blood pressure, glucose, smoking, drinking, exercise rate. On the basis of these factors, we suggest the program of the health promotion.