Summary Background Elevated blood pressure and glucose, serum cholesterol, and body mass index (BMI) are risk factors for cardiovascular diseases (CVDs); some of these factors also increase the risk of chronic kidney disease (CKD) and diabetes. We estimated CVD, CKD, and diabetes mortality attributable to these four cardio-metabolic risk factors for all countries and regions between 1980 and 2010. Methods We used data on risk factor exposure by country, age group, and sex from pooled analysis of population-based health surveys. Relative risks for cause-specific mortality were obtained from pooling of large prospective studies. We calculated the population attributable fractions (PAF) for each risk factor alone, and for the combination of all risk factors, accounting for multi-causality and for mediation of the effects of BMI by the other three risks. We calculated attributable deaths by multiplying the cause-specific PAFs by the number of disease-specific deaths from the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We propagated the uncertainties of all inputs to the final estimates. Findings In 2010, high blood pressure was the leading risk factor for dying from CVDs, CKD, and diabetes in every region, causing over 40% of worldwide deaths from these diseases; high BMI and glucose were each responsible for about 15% of deaths; and cholesterol for 10%. After accounting for multi-causality, 63% (10.8 million deaths; 95% confidence interval 10.1–11.5) of deaths from these diseases were attributable to the combined effect of these four metabolic risk factors, compared with 67% (7.1 million deaths; 6.6–7.6) in 1980. The mortality burden of high BMI and glucose nearly doubled between 1980 and 2010. At the country level, age-standardised death rates attributable to these four risk factors surpassed 925 deaths per 100,000 among men in Belarus, Mongolia, and Kazakhstan, but were below 130 deaths per 100,000 for women and below 200 for men in some high-income countries like Japan, Singapore, South Korea, France, Spain, The Netherlands, Australia, and Canada. Interpretations The salient features of the cardio-metabolic epidemic at the beginning of the twenty-first century are the large role of high blood pressure and an increasing impact of obesity and diabetes. There has been a shift in the mortality burden from high-income to low- and middle-income countries.

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Vitamin D deficiency is an independent risk factor for diabetic peripheral neuropathy, and further studies are required to confirm if Vitamin D supplementation could prevent or delay the onset.

Objective: We aimed to assess the efficacy of short-term oral vitamin D supplementation on peripheral neuropathy in patients with type 2 diabetes. Materials and Methods: This prospective, placebo-controlled trial included 112 type 2 diabetic patients with diabetic peripheral neuropathy (DPN) and vitamin D [25(OH)D] deficiency. Patients were sequentially assigned to a treatment group (n = 57) and a placebo group (n = 55). DPN was assessed using a neuropathy symptom score (NSS), a neuropathy disability score (NDS) and a nerve conduction study (NCS). Vitamin D status was determined by measuring the serum total 25(OH)D concentration. Patients received either oral vitamin D₃ capsules or starch capsules once weekly for 8 weeks. The primary outcome was changes in NSS and NDS from baseline. The secondary outcome was changes in the NCS result. Results: Serum 25(OH)D concentrations significantly improved after oral vitamin D supplementation in the treatment group when compared to the placebo group (32.8 ± 23.7 vs. 1.1 ± 3.6, p < 0.0001). Similarly, the improvement in NSS values was significantly greater in the treatment group than in the placebo group (-1.49 ± 1.37 vs. -0.20 ± 0.59, p < 0.001). No improvement was observed for NDS and NCS between the 2 groups after treatment. Conclusion: Short-term oral vitamin D₃ supplementation improved vitamin D status and the symptoms of neuropathy in patients with type 2 diabetes.

Background: Obesity and the metabolic syndrome have emerged as clinical and public health crises in many populations, but not all obese patients have the syndrome. As adipocytes produce several adipokines that modulate insulin action as well as glucose and lipid metabolism, we postulate that estimation of adipokines may be useful addition to the criteria used to identify obese individuals with the metabolic syndrome. Objective: To evaluate the determinants and associations of plasma adiponectin in relation to the metabolic syndrome in patients with Type 2 diabetes. Design: Cross-sectional study. Setting: General Teaching Hospital. Patients: One hundred and thirty five (57 M, 78 F) patients with Type 2 diabetes mellitus. Measurements: Adiponectin, leptin, high-sensitivity C-reactive protein (hs-CRP), fasting plasma insulin, glucose, glycated hemoglobin and full lipid profile. Patients were classified on the basis of the degree of adiposity, insulin resistance (IR) (homeostasis model assessment of insulin resistance (HOMA-IR)) and the number of the American Heart Association and the National Heart, Lung and Blood Institute criteria of the metabolic syndrome. Results: Adiponectin levels were inversely correlated with age, indices of obesity, IR and hs-CRP. Overweight/obese and nonobese insulin-sensitive patients had significantly higher (Po0.05) adiponectin levels than those with IR despite similar body mass index and waist circumference. Therefore, within each category of obesity stratification, lower adiponectin levels were associated with IR. Adiponectin showed stepwise decrease with increasing number of the criteria for diagnosis of the metabolic syndrome. Using multiple logistic regression, the odds ratio of the metabolic syndrome as predicted by adiponectin was 0.73 (95% confidence interval 0.53-0.96; P ¼ 0.04). At cutoff point of 18 ng/ml, the diagnostic sensitivity and specificity of adiponectin for the metabolic syndrome were 83 and 65%, respectively, in male patients and 92 and 41%, respectively, in female patients. Receiver operating characteristic analysis showed that adiponectin had significantly higher area under the curve compared with leptin, leptin:adiponectin ratio and triglycerides for the detection of the metabolic syndrome. Conclusions: In patients with Type 2 diabetes, adiponectin concentrations are closely related to IR and the components of the metabolic syndrome. Adiponectin concentration may be a useful addition to the criteria used for identifying obese subjects with the metabolic syndrome.