Selenium Supplementation Affects Insulin Resistance and Serum hs-CRP in Patients with Type 2 Diabetes and Coronary Heart Disease.

To our knowledge, this study is the first indicating the effects of selenium supplementation on metabolic status of patients with type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD). This study was conducted to evaluate the effects of selenium supplementation on metabolic profiles, biomarkers of inflammation, and oxidative stress of patients with T2DM and CHD. This randomized, double-blind, placebo-controlled trial was performed among 60 patients with T2DM and CHD aged 40-85 years. Participants were randomly divided into 2 groups. Group A received 200 µg selenium supplements (n=30) and group B received placebo per day (n=30) for 8 weeks. Fasting blood samples were taken at the beginning of the study and after 8-week intervention to quantify metabolic profiles. After 8 weeks, compared with the placebo, selenium supplementation resulted in a significant decrease in serum insulin levels (- 2.2±4.6 vs. + 3.6±8.4 µIU/ml, p=0.001), homeostasis model of assessment-insulin resistance (HOMA-IR) (- 0.7±1.3 vs. + 0.9±2.4, p=0.004), homeostatic model assessment-beta cell function (HOMA-B) (- 7.5±17.2 vs. + 15.1±34.5, p=0.002) and a significant increase in quantitative insulin sensitivity check index (QUICKI) (+0.01±0.03 vs. - 0.01±0.03, p=0.02). In addition, patients who received selenium supplements had a significant reduction in serum high-sensitivity C-reactive protein (hs-CRP) (- 1 372.3±2 318.8 vs. - 99.8±1 453.6 ng/ml, p=0.01) and a significant rise in plasma total antioxidant capacity (TAC) concentrations (+ 301.3±400.6 vs. - 127.2±428.0 mmol/l, p<0.001) compared with the placebo. A 200 µg/day selenium supplementation among patients with T2DM and CHD resulted in a significant decrease in insulin, HOMA-IR, HOMA-B, serum hs-CRP, and a significant increase in QUICKI score and TAC concentrations.

A Randomized Controlled Clinical Trial Investigating the Effect of Synbiotic Administration on Markers of Insulin Metabolism and Lipid Profiles in Overweight Type 2 Diabetic Patients with Coronary Heart Disease.

Objective: The current study was performed to evaluate the effects of synbiotic administration on metabolic profiles in overweight diabetic patients with coronary heart disease (CHD). Methods: This randomized, double-blind, placebo-controlled trial was done among 60 diabetic patients with CHD. Participants were randomly divided into 2 groups: group A (n=30) received synbiotic supplements containing 3 probiotic bacteria spices Lactobacillus acidophilus 2×109, Lactobacillus casei 2×109, Bifidobacterium bifidum 2×109 CFU/g plus 800 mg inulin and group B (n=30) received placebo for 12 weeks. Fasting blood samples were taken at baseline and after 12-week intervention to determine metabolic profiles. Results: After 12 weeks of intervention, patients who consumed synbiotic capsule had significantly decreased fasting plasma glucose (- 19.6±74.6 vs.+19.2±66.9 mg/dL, P=0.03), serum insulin concentrations (- 0.7±5.1 vs.+3.3±6.3 µIU/mL, P=0.01), the homeostasis model of assessment-estimated b cell function (- 3.4±19.5 vs.+11.5±21.0, P=0.006) and increased the quantitative insulin sensitivity check index (+ 0.002±0.01 vs.-0.01±0.02, P=0.03) compared with the placebo. In addition, changes in HLDL-cholesterol levels (+ 1.8±5.7 vs.-2.2±6.0 mg/dL, P=0.01) in supplemented patients were significantly different from those of patients in the placebo group. Conclusion: Synbiotic supplementation for 12 weeks among diabetic patients with CHD had beneficial effects on markers of insulin metabolism and HDL-cholesterol levels.

Effect of reinforced audit and feedback intervention on physician behaviour: a multifaceted strategy for targeting medical record documentation.

We investigated the effects of reinforced audit and feedback on the medical record documentation (MRD) of 35 surgical residents at a tertiary university hospital. In three phases (pre-intervention, 3 and 9-month post-intervention), 525 medical records were assessed. An educational guideline assisting residents to record more accurate MRD was developed. The MRD rate in the pre-intervention and immediate post-intervention phases had changed significantly. The MRD rate in the pre-intervention and 9 months after cessation of intervention was not statistically significant. Reinforced audit and feedback had only a short term effect on MRD. To achieve long lasting change, we suggest residents' MRD behaviour must be integrated in their periodic clinical performance evaluation and reinforced through positive feedback including incentive mechanisms.

Going beyond audit and feedback: towards behaviour-based interventions to change physician laboratory test ordering behaviour.

Studies indicate there are a variety of contributing factors affecting physician test ordering behaviour. Identifying these behaviours allows development of behaviour-based interventions. Methods Through a pilot study, the list of contributing factors in laboratory tests ordering, and the most ordered tests, were identified, and given to 50 medical students, interns, residents and paediatricians in questionnaire form. The results showed routine tests and peer or supervisor pressure as the most influential factors affecting physician ordering behaviour. An audit and feedback mechanism was selected as an appropriate intervention to improve physician ordering behaviour. The intervention was carried out at two intervals over a three-month period. Findings There was a large reduction in the number of laboratory tests ordered; from 908 before intervention to 389 and 361 after first and second intervention, respectively. There was a significant relationship between audit and feedback and the meaningful reduction of 7 out of 15 laboratory tests including complete blood count (p = 0.002), erythrocyte sedimentation rate (p = 0.01), C-reactive protein (p = 0.01), venous blood gas (p = 0.016), urine analysis (p = 0.005), blood culture (p = 0.045) and stool examination (p = 0.001). Conclusion The audit and feedback intervention, even in short duration, affects physician ordering behaviour. It should be designed in terms of behaviour-based intervention and diagnosis of the contributing factors in physicians' behaviour. Further studies are required to substantiate the effectiveness of such behaviour-based intervention strategies in changing physician behaviour.