As more and more studies suggest that type 2 diabetes mellitus (T2DM) is closely related to male hypogonadism, people begin to pay more attention to the role of testosterone in the development of T2DM and the effect and safety of testosterone supplementary therapy. There is some controversy in randomized controlled studies and meta-analyses about the effects of testosterone supplementation on the blood glucose level, androgen deficiency symptoms, and cardiovascular diseases. This review focuses on the diagnosis of hypogonadism in T2DM males, differences in the therapeutic effects and safety of testosterone replacement among different studies, and rational use of testosterone supplementation for T2DM patients.
Androgens ; deficiency ; Blood Glucose ; Cardiovascular Diseases ; etiology ; Diabetes Mellitus, Type 2 ; etiology ; Hormone Replacement Therapy ; Humans ; Hypogonadism ; complications ; diagnosis ; drug therapy ; Male ; Meta-Analysis as Topic ; Randomized Controlled Trials as Topic ; Testosterone ; physiology ; therapeutic use

BACKGROUND: Glycated albumin (GA) is a better marker of short-term glycemic control than glycated hemoglobin (A1c). Dyslipidemia is the main cause of cardiovascular complications in diabetes mellitus (DM). Studies on the correlation of GA with lipid indices are sparse. We investigated the diagnostic utility of GA for DM and its relationship with serum lipid profiles compared with that of A1c. METHODS: The GA enzymatic method was used to determine the diagnostic utility of GA for DM by using samples from 163 normal subjects (group 1) and 102 patients newly diagnosed with type 2 DM (T2DM; group 2). To analyze the lipid profiles, 263 patients with T2DM receiving treatment (group 3) were recruited. RESULTS: GA correlated with A1c (r=0.934, P<0.0001). Linear regression analysis indicated that GA levels were about 2.48 folds those of A1c. In the ROC analysis for GA to diagnose DM, the areas under the curve (0.988, 95% confidence interval 0.972-1.004) was excellent. HDL levels were significantly lower in groups 2 and 3. In group 1, positive correlations were observed between A1c and triglyceride (TG), total cholesterol (TC), LDL, TG/HDL, TC/HDL, and LDL/HDL levels. A negative correlation was observed between HDL and A1c levels. In group 3, HDL levels (P=0.0124 and P=0.0141, respectively) were significantly higher and LDL levels tended to be lower, not statistically significant, in the well-controlled group categorized using the A1c and GA cut-off values. CONCLUSIONS: GA is a potential diagnostic tool for DM. Compared with A1c, GA seems less relevant to dyslipidemia.
Adult ; Area Under Curve ; Blood Glucose/analysis ; Cholesterol, HDL/blood ; Cholesterol, LDL/blood ; Chromatography, High Pressure Liquid ; Diabetes Mellitus, Type 2/complications/*diagnosis/drug therapy ; Female ; Humans ; Hyperlipidemias/complications/*diagnosis ; Hypoglycemic Agents/therapeutic use ; Linear Models ; Lipids/blood ; Male ; Middle Aged ; ROC Curve ; Serum Albumin/*analysis

OBJECTIVE: To evaluate the relationship between type 2 diabetes mellitus (DM) and oncological outcomes in early stage cervical cancer patients who underwent radical surgical resection. METHODS: Patients with early stage cervical cancer diagnosed between 2001 and 2014 were retrospectively enrolled. We assessed the outcomes of 402 non-DM and 42 DM patients with cervical cancer. We tested the prognostic value of DM via Cox proportional hazard modeling. RESULTS: Patients with DM were more likely to be older and overweight. In the DM group, 20 and 22 patients were and were not taking metformin, respectively. The 5-year recurrence-free survival (RFS) and 5-year overall survival (OS) rate for the whole study population were 88.49% and 96.34%, respectively. In the DM group, there was no evidence that metformin affected the RFS (p=0.553) or the OS (p=0.429). In multivariate analysis, age (p=0.007), histology (p=0.006), and deep stromal invasion (p=0.007) were independent adverse prognostic factors for RFS. There was a borderline significant association of increased RFS with DM (p=0.051). However, a time-varying-effect Cox model revealed that the DM was associated with a worse RFS (hazard ratio, 11.15; 95% CI, 2.00 to 62.08, p=0.022) after 5 years. DM (p=0.008), age (p=0.009), and node status (p=0.001) were the only 3 independent prognostic factors for OS. CONCLUSION: Early stage cervical cancer patients with type 2 DM have a poorer oncological outcome than patients without DM.
Adult ; Age Factors ; Diabetes Mellitus, Type 2/*complications/drug therapy ; Female ; Humans ; Hypoglycemic Agents/therapeutic use ; *Hysterectomy ; Metformin/therapeutic use ; Middle Aged ; Prognosis ; Proportional Hazards Models ; Retrospective Studies ; Survival Analysis ; Uterine Cervical Neoplasms/*complications/diagnosis/surgery

Sleep has important effects on physical and mental health, and sleep disorders are associated with increased mortality and morbidity. This study was conducted to evaluate the relationship between sleep duration or sleep quality and the risk of type 2 diabetes. The FACTS (FAmily CohorT Study in primary care) was established to investigate the relations between familial environment and health which was conducted at 22 family medicine outpatient clinics in general hospitals. Total 563 patients without diabetes who received > or =1 year follow-up examination were included in the analysis. We used the Pittsburgh Sleep Quality Index to determine sleep quality, and a score of > or =5 was considered to define poor sleep quality. Patients taking oral hypoglycemic agents, having a fasting glucose level of >126 mg/dL, or diagnosed with diabetes by physicians were classified as having diabetes. The median follow-up period was 2.5 years. Poor sleep quality was associated with a higher risk of diabetes after adjusting for age, sex, body mass index, income, physical activity, and family history of diabetes (relative risk=2.64; 95% confidence interval, 1.03-6.78). As a risk factor for the development of diabetes, poor sleep quality may independently increase the incidence of diabetes.
Aged ; Blood Glucose/analysis ; Body Mass Index ; Cohort Studies ; Demography ; Diabetes Mellitus, Type 2/complications/*diagnosis/drug therapy ; Female ; Follow-Up Studies ; Humans ; Hypoglycemic Agents/therapeutic use ; Male ; Middle Aged ; Obesity/complications ; Primary Health Care ; Risk Factors ; *Sleep ; Surveys and Questionnaires

No abstract available.
Acute Disease ; Aged ; Anti-Bacterial Agents/therapeutic use ; Anti-Inflammatory Agents, Non-Steroidal/therapeutic use ; Buttocks ; Debridement ; Diabetes Mellitus, Type 2/*complications/diagnosis ; Escherichia coli Infections/diagnosis/drug therapy/*microbiology ; Female ; Humans ; Microbial Sensitivity Tests ; Muscle, Skeletal/*microbiology/surgery ; Pyelonephritis/diagnosis/drug therapy/*microbiology ; Pyomyositis/diagnosis/*microbiology/therapy ; Tomography, X-Ray Computed ; Treatment Outcome

Hypoglycemia is a major barrier to achieving the glycemic goal in patients with type 2 diabetes. In particular, severe hypoglycemia, which is defined as an event that requires the assistance of another person to actively administer carbohydrates, glucagon, or take other corrective actions, is a serious clinical concern in patients with diabetes. If severe hypoglycemia is not managed promptly, it can be life threatening. Hypoglycemia-associated autonomic failure (HAAF) is the main pathogenic mechanism behind severe hypoglycemia. Defective glucose counter-regulation (altered insulin secretion, glucagon secretion, and an attenuated increase in epinephrine during hypoglycemia) and a lack of awareness regarding hypoglycemia (attenuated sympathoadrenal activity) are common components of HAAF in patients with diabetes. There is considerable evidence that hypoglycemia is an independent risk factor for cardiovascular disease. In addition, hypoglycemia has a significant influence on the quality of life of patients with diabetes. To prevent hypoglycemic events, the setting of glycemic goals should be individualized, particularly in elderly individuals or patients with complicated or advanced type 2 diabetes. Patients at high-risk for the future development of severe hypoglycemia should be selected carefully, and intensive education with reinforcement should be implemented.
Autonomic Nervous System/physiopathology ; Biological Markers/blood ; Blood Glucose/*drug effects/metabolism ; Diabetes Mellitus, Type 2/blood/complications/diagnosis/*drug therapy/physiopathology ; Health Knowledge, Attitudes, Practice ; Humans ; Hypoglycemia/blood/chemically induced/epidemiology/physiopathology/*prevention & control ; Hypoglycemic Agents/*adverse effects ; Incidence ; Patient Education as Topic ; Prevalence ; Prognosis ; Risk Assessment ; Risk Factors

It has not yet been determined whether chronic exposure to relatively low doses of pioglitazone increases risk of bladder cancer. We aimed to assess the risk of bladder cancer associated with pioglitazone in Korean patients. This was a retrospective cohort study of diabetic patients who had > or = 2 clinic visits between November 2005 and June 2011 at one of four tertiary referral hospitals in Korea. A prevalent case-control analysis nested within the cohort was conducted to further adjust confounders. A total of 101,953 control patients and 11,240 pioglitazone-treated patients were included, in which there were 237 and 30 cases of incidental bladder cancer (64.9 and 54.9 per 100,000 person-years; age, sex-adjusted HR 1.135, 95% confidence interval [CI] 0.769-1.677), respectively. In the prevalent case-control analysis nested within the cohort, use of pioglitazone for a duration of > 6 months, but not ever use of pioglitazone, was associated with an increased rate of bladder cancer as compared to never use of pioglitazone. In conclusion, we failed to exclude the possible association between use of pioglitazone for a duration of > 6 months and bladder cancer.
Aged ; Asian Continental Ancestry Group ; Case-Control Studies ; Cohort Studies ; Diabetes Mellitus, Type 2/complications/*drug therapy ; Female ; Humans ; Hypoglycemic Agents/*therapeutic use ; Male ; Middle Aged ; Prevalence ; Republic of Korea ; Retrospective Studies ; Risk Factors ; Tertiary Care Centers ; Thiazolidinediones/*therapeutic use ; Urinary Bladder Neoplasms/complications/*diagnosis/epidemiology

We evaluated the prevalence of vitamin B12 deficiency and associated factors in type 2 diabetes patients using metformin. A total of 799 type 2 diabetes patients using metformin was enrolled. Vitamin B12 and folate levels were quantified by chemiluminescent enzyme immunoassay. Vitamin B12 deficiency was defined as vitamin B12 < or = 300 pg/mL without folate deficiency (folate > 4 ng/mL). The prevalence of vitamin B12 deficiency in metformin-treated type 2 diabetes patients was 9.5% (n = 76), and the mean vitamin B12 level was 662.5 +/- 246.7 pg/mL. Vitamin B12 deficient patients had longer duration of metformin use (P < 0.001) and higher daily metformin dose (P < 0.001) than non-deficient patients. Compared with daily metformin dose of < or = 1,000 mg, the adjusted odds ratio for 1,000-2,000 mg, and > or = 2,000 mg were 2.52 (95% CI, 1.27-4.99, P = 0.008) and 3.80 (95% CI, 1.82-7.92, P < 0.001). Compared with metformin use of < 4 yr, the adjusted odds ratios for 4-10 yr, and > or = 10 yr were 4.65 (95% CI, 2.36-9.16, P < 0.001) and 9.21 (95% CI, 3.38-25.11, P < 0.001), respectively. In conclusion, our study indicates that patients with type 2 diabetes treated with metformin should be screened for vitamin B12 deficiency, especially at higher dosages (> 1,000 mg) and longer durations (> or = 4 yr) of treatment.
Aged ; Area Under Curve ; Diabetes Mellitus, Type 2/complications/diagnosis/*drug therapy ; Female ; Folic Acid/blood ; Humans ; Hypoglycemic Agents/adverse effects/*therapeutic use ; Immunoassay ; Male ; Metformin/adverse effects/*therapeutic use ; Middle Aged ; Odds Ratio ; Patients ; Prevalence ; ROC Curve ; Time Factors ; Vitamin B 12/blood ; Vitamin B 12 Deficiency/diagnosis/epidemiology/*etiology

We investigated the frequency of sleep disturbances and the association between sleep disturbances and glucoregulation in type 2 diabetic patients. The frequency of sleep disturbances in 614 type 2 diabetic patients was investigated using validated sleep questionnaires. There were 381 male and 233 female patients. The mean age was 59.7 +/- 11.1 yr; the mean body mass index was 24.9 +/- 4.4 kg/m2; the mean HbA1c was 7.8% +/- 1.5%; and the mean duration of diabetes was 10.3 +/- 8.4 yr. The questionnaires revealed insomnia in 48.2% of the patients while 8.5% reported excessive daytime sleepiness. A total of 49% of the patients was poor sleepers, while 28.5% had depression. Multivariate logistic regression analysis showed that there was no significant association between HbA1c and other sleep disturbances, such as poor sleep, insomnia, and short duration of sleep. Sleep disturbances were very common in patients with type 2 diabetes mellitus, whereas there was no association between poor or short sleep and glucoregulation. Awareness and identifying sleep complaints in such patients are necessary to improve their quality of daily life.
Adult ; Aged ; Body Mass Index ; Depression/epidemiology ; Diabetes Mellitus, Type 2/complications/*diagnosis/drug therapy ; Female ; Hemoglobin A, Glycosylated/analysis ; Humans ; Hypoglycemic Agents/therapeutic use ; Logistic Models ; Male ; Middle Aged ; Quality of Life ; Questionnaires ; Sleep Disorders/*complications ; Sleep Initiation and Maintenance Disorders/epidemiology

OBJECTIVES: This study aims to investigate trends of cardiovascular disease (CVD) risk factor profiles over 17 years in percutaneous coronary intervention (PCI) patients at the Mayo Clinic. METHODS: We performed a time-trend analysis within the Mayo Clinic PCI Registry from 1994 to 2010. Results were the incidence and prevalence of CVD risk factors as estimate by the Framingham risk score. RESULTS: Between 1994 and 2010, 25 519 patients underwent a PCI. During the time assessed, the mean age at PCI became older, but the gender distribution did not change. A significant trend towards higher body mass index and more prevalent hypercholesterolemia, hypertension, and diabetes was found over time. The prevalence of current smokers remained unchanged. The prevalence of ever-smokers decreased among males, but increased among females. However, overall CVD risk according to the Framingham risk score (FRS) and 10-year CVD risk significantly decreased. The use of most of medications elevated from 1994 to 2010, except for beta-blockers and angiotensin converting enzyme inhibitors decreased after 2007 and 2006 in both baseline and discharge, respectively. CONCLUSIONS: Most of the major risk factors improved and the FRS and 10-year CVD risk declined in this population of PCI patients. However, obesity, history of hypercholesterolemia, hypertension, diabetes, and medication use increased substantially. Improvements to blood pressure and lipid profile management because of medication use may have influenced the positive trends.
Adrenergic beta-Antagonists/therapeutic use ; Age Factors ; Aged ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use ; Blood Pressure ; Body Mass Index ; Cardiovascular Diseases/complications/drug therapy/*epidemiology ; Diabetes Complications ; Diabetes Mellitus/diagnosis ; Female ; Humans ; Hypercholesterolemia/complications/diagnosis ; Hypertension/complications/diagnosis ; Male ; Middle Aged ; Percutaneous Coronary Intervention/*statistics & numerical data/trends ; Prevalence ; Registries/statistics & numerical data ; Risk Factors ; Smoking ; Time Factors