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Health education is compulsory for patients with chronic and life-threatening disease, especially for those with diabetes mellitus (DM). This study aimed to examine the long-term effectiveness of the Diabetes Conversation Map Program (DCMP) among DM patients in Taiwan. A quasi-experimental research design using convenience sampling and nonrandom group assignment was applied to recruit 95 type 2 diabetic subjects from a hospital in Taiwan. In addition to routine care, the experiment group (n = 49) received 7 sessions of DCMP that delivered over 2 months, while the control group (n = 46) received only routine care during the same period. We conducted structured questionnaire survey and reviewed medical record at 3 time points (before DCMP, 3 days after DCMP, and 3 months after DCMP completion) to collect the effectiveness data. The effectiveness was determined using the generalized estimating equation model. We found that improvements in the body mass index, blood glucose, glycated hemoglobin, self-monitoring of blood glucose, and diabetic health literacy in the DCMP group compared with controls (all P values

Parameters of glucose dynamics recorded by the continuous glucose monitoring system (CGMS) could help in the control of glycemic fluctuations, which is important in diabetes management. Multiscale entropy (MSE) analysis has recently been developed to measure the complexity of physical and physiological time sequences. A reduced MSE complexity index indicates the increased repetition patterns of the time sequence, and, thus, a decreased complexity in this system. No study has investigated the MSE analysis of glucose dynamics in diabetes. This study was designed to compare the complexity of glucose dynamics between the diabetic patients ( n = 17) and the control subjects ( n = 13), who were matched for sex, age, and body mass index via MSE analysis using the CGMS data. Compared with the control subjects, the diabetic patients revealed a significant increase ( P < 0.001) in the mean (diabetic patients 166.0 ± 10.4 vs. control subjects 93.3 ± 1.5 mg/dl), the standard deviation (51.7 ± 4.3 vs. 11.1 ± 0.5 mg/dl), and the mean amplitude of glycemic excursions (127.0 ± 9.2 vs. 27.7 ± 1.3 mg/dl) of the glucose levels; and a significant decrease ( P < 0.001) in the MSE complexity index (5.09 ± 0.23 vs. 7.38 ± 0.28). In conclusion, the complexity of glucose dynamics is decreased in diabetes. This finding implies the reactivity of glucoregulation is impaired in the diabetic patients. Such impairment presenting as an increased regularity of glycemic fluctuating pattern could be detected by MSE analysis. Thus, the MSE complexity index could potentially be used as a biomarker in the monitoring of diabetes.

BACKGROUND: Statins reduce cardiovascular risks but increase the risk of new-onset diabetes (NOD). The aim of this study is to determine what effect, if any, statins have on the risk of NOD events in a population-based case-control study. An evaluation of the relationship between age and statin-exposure on NOD risks was further examined in a female Asian population. METHOD: In a nationwide case-controlled study, the authors assessed 1065 female NOD patients and 10650 controls with matching ages, genders and physician visit dates. The impact of statin-exposure on NOD was examined through multiple logistic regression models. Subgroup analysis for exploring the risk of NOD and statin-exposure in different age groups was performed. RESULTS: Statin-exposure was statistically significantly associated with increased new-onset diabetes risks using multivariate analysis. Interaction effect between age and statin-exposure on NOD risk was noted. For atorvastatin, the risk of cDDDs>60 was highest among the 55-64 year-olds (adjusted odds ratio [OR], 8.0; 95% confidence interval [CI], 2.57-24.90). For rosuvastatin, the risk of cDDDs>60 was highest among the 40-54 year-olds (adjusted OR, 14.8; 95% CI, 2.27-96.15). For simvastatin, the risk of cDDDs>60 was highest among the 55-64 year-olds (adjusted OR, 15.8; 95% CI, 5.77-43.26). For pravastatin, the risk of cDDDs>60 was highest among the 55-64 year-olds (adjusted OR, 14.0; 95% CI, 1.56-125.18). CONCLUSIONS: This population-based study found that statin use is associated with an increased risk of NOD in women. The risk of statin-related NOD was more evident for women aged 40-64 years compared to women aged 65 or more, and was cumulative-dose dependent. The use of statins should always be determined by weighing the clinical benefits and potential risks for NOD, and the patients should be continuously monitored for adverse effects.

BACKGROUND: Although much attention has been focused on the association between chronic hyperglycemia and cerebrovascular diseases in type 2 diabetes mellitus (DM) patients, there is no data regarding the risk of ischemic stroke after a hyperosmolar hyperglycemic state (HHS) attack. The objective of this study was to investigate the risk of ischemic stroke in type 2 DM patients after an HHS attack. METHODS: From 2004 to 2008, this retrospective observational study was conducted on a large cohort of Taiwanese using Taiwan's National Health Insurance Research Database (NHIRD). We identified 19,031 type 2 DM patients who were discharged with a diagnosis of HHS and 521,229 type 2 DM patients without an HHS diagnosis. Using the propensity score generated from logistic regression models, conditional on baseline covariates, we matched 19,031 type 2 DM patients with an HHS diagnosis with the same number from the comparison cohort. The one-year cumulative rate for ischemic stroke was estimated using the Kaplan-Meier method. After adjusting covariates, Cox proportional hazard regression was used to compute the adjusted one-year rate of ischemic stroke. RESULTS: Of the patients sampled, 1,810 (9.5%) of the type 2 DM patients with HHS and 996 (5.2%) of the comparison cohort developed ischemic stroke during the one-year follow-up period. After adjusting for covariates, the adjusted HR for developing ischemic stroke during the one-year follow-up period was 1.8 (95% C.I., 1.67 to 1.95, P