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OBJECTIVE: Impaired glucose tolerance (IGT) and/or impaired fasting glucose (IFG) are risk factors for diabetes, cardiovascular disease (CVD), and kidney disease. We determined the effects of ramipril and rosiglitazone on combined and individual CVD and renal outcomes in people with IGT and/or IFG in the Diabetes REduction Assessment With ramipril and rosiglitazone Medication (DREAM) trial. RESEARCH DESIGN AND METHODS: A total of 5,269 people aged >or=30 years, with IGT and/or IFG without known CVD or renal insufficiency, were randomized to 15 mg/day ramipril versus placebo and 8 mg/day rosiglitazone versus placebo. A composite cardiorenal outcome and its CVD and renal components were assessed during the 3-year follow-up. RESULTS: Compared with placebo, neither ramipril (15.7% [412 of 2,623] vs. 16.0% [424 of 2,646]; hazard ratio [HR] 0.98 [95% CI 0.84-1.13]; P = 0.75) nor rosiglitazone (15.0% [394 of 2,635] vs. 16.8% [442 of 2,634]; 0.87 [0.75-1.01]; P = 0.07) reduced the risk of the cardiorenal composite outcome. Ramipril had no impact on the CVD and renal components. Rosiglitazone increased heart failure (0.53 vs. 0.08%; HR 7.04 [95% CI 1.60-31.0]; P = 0.01) but reduced the risk of the renal component (0.80 [0.68-0.93]; P = 0.005); prevention of diabetes was independently associated with prevention of the renal component (P < 0.001). CONCLUSIONS: Ramipril did not alter the cardiorenal outcome or its components. Rosiglitazone, which reduced diabetes, also reduced the development of renal disease but not the cardiorenal outcome and increased the risk of heart failure. [ABSTRACT FROM AUTHOR]

Objective: We aimed to compare cardiovascular (CV) events, all-cause mortality, and CV mortality rates among adults with and without diabetes in countries with differing levels of income., Research Design and Methods: The Prospective Urban Rural Epidemiology (PURE) study enrolled 143,567 adults aged 35-70 years from 4 high-income countries (HIC), 12 middle-income countries (MIC), and 5 low-income countries (LIC). The mean follow-up was 9.0 ± 3.0 years., Results: Among those with diabetes, CVD rates (LIC 10.3, MIC 9.2, HIC 8.3 per 1,000 person-years, P < 0.001), all-cause mortality (LIC 13.8, MIC 7.2, HIC 4.2 per 1,000 person-years, P < 0.001), and CV mortality (LIC 5.7, MIC 2.2, HIC 1.0 per 1,000 person-years, P < 0.001) were considerably higher in LIC compared with MIC and HIC. Within LIC, mortality was higher in those in the lowest tertile of wealth index (low 14.7%, middle 10.8%, and high 6.5%). In contrast to HIC and MIC, the increased CV mortality in those with diabetes in LIC remained unchanged even after adjustment for behavioral risk factors and treatments (hazard ratio [95% CI] 1.89 [1.58-2.27] to 1.78 [1.36-2.34])., Conclusions: CVD rates, all-cause mortality, and CV mortality were markedly higher among those with diabetes in LIC compared with MIC and HIC with mortality risk remaining unchanged even after adjustment for risk factors and treatments. There is an urgent need to improve access to care to those with diabetes in LIC to reduce the excess mortality rates, particularly among those in the poorer strata of society., (© 2020 by the American Diabetes Association.)

Objective: The goal of this study was to assess whether diabetes prevalence varies by countries at different economic levels and whether this can be explained by known risk factors., Research Design and Methods: The prevalence of diabetes, defined as self-reported or fasting glycemia ≥7 mmol/L, was documented in 119,666 adults from three high-income (HIC), seven upper-middle-income (UMIC), four lower-middle-income (LMIC), and four low-income (LIC) countries. Relationships between diabetes and its risk factors within these country groupings were assessed using multivariable analyses., Results: Age- and sex-adjusted diabetes prevalences were highest in the poorer countries and lowest in the wealthiest countries (LIC 12.3%, UMIC 11.1%, LMIC 8.7%, and HIC 6.6%; P < 0.0001). In the overall population, diabetes risk was higher with a 5-year increase in age (odds ratio 1.29 [95% CI 1.28-1.31]), male sex (1.19 [1.13-1.25]), urban residency (1.24 [1.11-1.38]), low versus high education level (1.10 [1.02-1.19]), low versus high physical activity (1.28 [1.20-1.38]), family history of diabetes (3.15 [3.00-3.31]), higher waist-to-hip ratio (highest vs. lowest quartile; 3.63 [3.33-3.96]), and BMI (≥35 vs. <25 kg/m(2); 2.76 [2.52-3.03]). The relationship between diabetes prevalence and both BMI and family history of diabetes differed in higher- versus lower-income country groups (P for interaction < 0.0001). After adjustment for all risk factors and ethnicity, diabetes prevalences continued to show a gradient (LIC 14.0%, LMIC 10.1%, UMIC 10.9%, and HIC 5.6%)., Conclusions: Conventional risk factors do not fully account for the higher prevalence of diabetes in LIC countries. These findings suggest that other factors are responsible for the higher prevalence of diabetes in LIC countries., (© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)

OBJECTIVE Epidemiologic studies linking insulin glargine and glucose-lowering therapies to cancers and n-3 fatty acids to cancer prevention have not been confirmed. We aimed to assess the effect of insulin glargine and n-3 fatty acids on incident cancers within the context of the ORIGIN (Outcome Reduction with Initial Glargine Intervention) trial. RESEARCH DESIGN AND METHODS The ORIGIN trial is an international, long-term, randomized two-by-two factorial study comparing insulin glargine with standard care and n-3 fatty acids with placebo (double blind) in people with dysglycemia at high risk for cardiovascular events. The primary outcome measure (cancer substudy) was the occurrence of any new or recurrent adjudicated cancer. Cancer mortality and cancer subtypes were also analyzed. RESULTS Among 12,537 people (mean age 63.5 years, SD 7.8; 4,388 females), 953 developed a cancer event during the median follow-up of 6.2 years. In the glargine and standard care groups, the incidence of cancers was 1.32 and 1.32 per 100 person-years, respectively (P = 0.97), and in the n-3 fatty acid and placebo groups, it was 1.28 and 1.36 per 100 person-years, respectively (P = 0.39). No difference in the effect of either intervention was noted within predefined subgroups (P for all interactions ≥0.17). Cancer-related mortality and cancer-specific outcomes also did not differ between groups. Postrandomization HbA1c levels, glucose-lowering therapies (including metformin), and BMI did not affect cancer outcomes. CONCLUSIONS Insulin glargine and n-3 fatty acids have a neutral association with overall and cancer-specific outcomes, including cancer-specific mortality. Exposure to glucose-lowering therapies, including metformin, and HbA1c level during the study did not alter cancer risk.

Objective: To investigate the possibility that leptin levels may be predictive of the risk of ischemic heart disease (IHD) through the relationship of leptin to body fat., Research Design and Methods: The Quebec Cardiovascular Study cohort consisted of 2,103 French-Canadian men without IHD in 1985 who were followed until 1990, by which time 114 had experienced an IHD event. These 114 men were then individually matched for age, BMI, cigarette smoking, and alcohol intake with 114 subjects who were free of IHD at follow-up. After exclusion of diabetic patients and those in whom leptin levels could not be measured, we were able to compare the initial metabolic profiles of 86 men in the IHD group and of 95 control subjects., Results: Plasma leptin concentrations were positively correlated with BMI (r = 0.67, P < 0.0001) and with fasting insulin concentrations (r = 0.46, P < 0.0001) in the overall sample. These significant associations were also observed when men with IHD and the control subjects were examined separately (control subjects: r = 0.68 for BMI and r = 0.45 for insulin; IHD subjects: r = 0.65 for BMI and r = 0.50 for insulin). With the exception of plasma triglyceride (r = 0.25, P < 0.001), no significant association was found between leptin and plasma lipoprotein and lipid concentrations. Furthermore, plasma insulin remained significantly associated with leptin levels even after adjustment for BMI (r = 0.22, P < 0.005). There was no difference in baseline leptin levels among men who developed IHD versus men who remained IHD-free during the 5-year follow-up (5.56 +/- 3.12 vs. 5.36 +/- 2.90 ng/ml, respectively). Thus, although significantly correlated with the BMI and fasting insulin levels, plasma leptin concentration was not a significant predictor of the 5-year incidence of IHD. This lack of a relationship to IHD was noted when leptin levels were analyzed as tertiles and when leptin concentration was analyzed as a continuous variable., Conclusions: These prospective results suggest that leptinemia, despite being a strong correlate of obesity, does not appear to be an independent risk factor for the development of IHD in men.