Search

Background: Evidence about the association between calculated remnant cholesterol (RC) and risk of heart failure (HF) in participants with diabetes mellitus (DM) remains sparse and limited., Methods: We included a total of 22 230 participants with DM from the UK Biobank for analyses. Participants were categorized into three groups based on their baseline RC measures: low (with a mean RC of 0.41 mmol/L), moderate (0.66 mmol/L), and high (1.04 mmol/L). Cox proportional hazards models were used to evaluate the relationship between RC groups and HF risk. We performed discordance analysis to evaluate whether RC was associated with HF risk independently of low-density lipoprotein cholesterol (LDL-C)., Results: During a mean follow-up period of 11.5 years, there were a total of 2232 HF events observed. The moderate RC group was significantly related with a 15% increased risk of HF when compared with low RC group (hazard ratio [HR] = 1.15, 95% confidence interval [CI]: 1.01-1.32), while the high RC group with a 23% higher HF risk (HR = 1.23, 95% CI: 1.05-1.43). There was significant relationship between RC as a continuous measure and the increased HF risk (P < 0.01). The association between RC and risk of HF was stronger in participants with HbA1c level ≥ 53 mmol/mol when compared with HbA1c < 53 mmol/mol (P for interaction = 0.02). Results from discordance analyses showed that RC was significantly related to HF risk independent of LDL-C measures., Conclusions: Elevated RC was significantly associated with risk of HF in patients with DM. Moreover, RC was significantly related to HF risk independent of LDL-C measures. These findings may highlight the importance of RC management to HF risk in patients with DM., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Context: Lacunar strokes and diabetes are risk factors for cognitive dysfunction. Elucidating modifiable risk factors for cognitive dysfunction has great public health implications. One factor may be glycemic status, as measured by glycated hemoglobin (A1c)., Objective: The aim of this study was to assess the relationship between A1c and cognitive function in lacunar stroke patients with diabetes., Methods: The effect of baseline and follow-up A1c on the baseline and the change in Cognitive Assessment Screening Instrument (CASI) score over time among participants with a median of 2 cognitive assessments (range, 1-5) was examined in 942 individuals with diabetes and a lacunar stroke who participated in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial (ClinicalTrials.gov No. NCT00059306)., Results: Every 1% higher baseline A1c was associated with a 0.06 lower standardized CASI z score (95% CI, -0.101 to -0.018). Higher baseline A1c values were associated with lower CASI z scores over time (P for interaction = .037). A 1% increase in A1c over time corresponded with a CASI score decrease of 0.021 (95% CI, -0.0043 to -0.038) during follow-up. All these remained statistically significant after adjustment for age, sex, education, race, depression, hypertension, hyperlipidemia, body mass index, cardiovascular disease, obstructive sleep apnea, diabetic retinopathy, nephropathy insulin use, and white-matter abnormalities., Conclusion: This analysis of lacunar stroke patients with diabetes demonstrates a relationship between A1c and change in cognitive scores over time. Intervention studies are needed to delineate whether better glucose control could slow the rate of cognitive decline in this high-risk population., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Diabetes is a risk factor for cerebrovascular disease and cognitive impairment. The anatomical basis for this is uncertain., Methods: The Canadian Alliance for Healthy Hearts and Minds collected brain and carotid magnetic resonance imaging (MRI) and 2 cognitive tests (the Digit Symbol Substitution Test and the Montreal Cognitive Assessment test) in a cross-sectional sample of men and women. Brain MRIs identified brain infarcts (BI), lacunar BI, high white matter hyperintensity (WMH), vascular brain injury (VBI; BI or high WMH), and small vessel VBI (lacunar BI or high WMH). Carotid MRIs estimated carotid wall volume, a measure of subclinical atherosclerosis. Cognitive scores were standardized to each site's mean score, and cognitive impairment was identified by 1 or both test scores ≤1 standard deviation below the site's mean score on that test., Results: The 7733 participants included 495 participants (6.4%) with diabetes, of whom 388 were taking diabetes drugs. After age and sex adjustment, diabetes was independently associated with BI (odds ratio [OR] 1.53, 95% confidence interval [CI] 1.05, 2.24), VBI (OR 1.64, 95% CI 1.26, 2.13), small vessel VBI (OR 1.67, 95% CI 1.28, 2.19), and cognitive impairment (OR 1.47, 95% CI 1.20, 1.80). The association between diabetes and small vessel VBI persisted after adjustment for cerebrovascular disease risk factors and nonlacunar infarcts (OR 1.52, 95% CI 1.15, 2.01), and the association with cognitive impairment persisted after adjustment for small vessel VBI (OR 1.27, 95% CI 1.03, 1.56)., Conclusion: Small vessel disease characterizes much of the relationship between diabetes and VBI. However, additional factors are required to disentangle the relationship between diabetes and cognitive impairment., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

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: We examined the impact of acarbose, an α-glucosidase inhibitor, on incident diabetes and regression to normoglycemia in 6,522 Acarbose Cardiovascular Evaluation (ACE) trial participants in China who had impaired glucose tolerance (IGT) and coronary heart disease (CHD)., Research Design and Methods: Participants were randomly assigned to acarbose or placebo and followed with four monthly fasting plasma glucose (FPG) tests and annual oral glucose tolerance tests. Incident diabetes was defined as two successive diagnostic FPG levels ≥7 mmol/L or 2-h plasma glucose (PG) levels ≥11.1 mmol/L while taking study medication or a masked adjudicated confirmation of this diagnosis. Regression to normoglycemia was defined as FPG <6.1 mmol/L and 2-h PG <7.8 mmol/L. Intention-to-treat and on-treatment analyses were conducted using Poisson regression models, overall and for subgroups (age, sex, CHD type, HbA 1c , FPG, 2-h PG, BMI, estimated glomerular filtration rate, for IGT alone, for IGT + impaired fasting glucose, and for use of thiazides, ACE inhibitors [ACEis]/angiotensin receptor blockers [ARBs], β-blockers, calcium channel blockers, or statins)., Results: Incident diabetes was less frequent with acarbose compared with placebo (3.2 and 3.8 per 100 person-years, respectively; rate ratio 0.82 [95% CI 0.71, 0.94], P = 0.005), with no evidence of differential effects within the predefined subgroups after accounting for multiple testing. Regression to normoglycemia occurred more frequently in those randomized to acarbose compared with placebo (16.3 and 14.1 per 100 person-years, respectively; 1.16 [1.08, 1.25], P < 0.0001). This effect was greater in participants not taking an ACEi or ARB (1.36 [1.21, 1.53], P interaction = 0.0006). The likelihood of remaining in normoglycemic regression did not differ between the acarbose and placebo groups ( P = 0.41)., Conclusions: Acarbose reduced the incidence of diabetes and promoted regression to normoglycemia in Chinese people with IGT and CHD., (© 2020 by the American Diabetes Association.)

Background: Epidemiological studies have demonstrated a relationship between cognitive function in youth and the future risk of death. Less is known regarding the relationship with diabetes related death. This study assessed the relationship between cognitive function in late adolescence and the risk for diabetes, cardiovascular- (CVD) and all-cause mortality in adulthood., Methods: This retrospective study linked data from 2,277,188 16-19 year olds who had general intelligence tests (GIT) conducted during pre-military recruitment assessment with cause of death as coded by the Israel Central Bureau of Statistics. The associations between cognitive function and cause-specific mortality were assessed using Cox models., Results: There were 31,268 deaths that were recorded during 41,916,603 person-years of follow-up, with a median follow-up of 19.2 (IQR 10.7, 29.5) years. 3068, 1443, 514 and 457 deaths were attributed to CVD, CHD, stroke, and diabetes, respectively. Individuals in the lowest GIT vs. highest GIT quintiles in unadjusted models had the highest risk for all-cause mortality (HR 1.84, 95% CI 1.78, 1.91), total CVD (HR 3.32, 95% CI 2.93, 3.75), CHD (HR 3.49 95% CI 2.92, 4.18), stroke (HR 3.96 95% CI 2.85, 5.5) and diabetes-related (HR 6.96 95% CI 4.68, 10.36) mortality. These HRs were attenuated following adjustment for age, sex, birth year, body-mass index, residential socioeconomic status, education and country of origin for all-cause (HR 1.23, 95% CI 1.17, 1.28), CVD (HR 1.76, 95% CI 1.52, 2.04), CHD (HR 1.7 95% CI 1.37, 2.11), stroke (HR 2.03, 95% CI 1.39, 2.98) and diabetes-related (HR 3.14 95% CI 2.00, 4.94) mortality. Results persisted in a sensitivity analyses limited to participants with unimpaired health at baseline and that accounted competing risk., Conclusions: This analysis of over 2 million demonstrates a strong relationship between cognitive function at youth and the risk for diabetes, all-cause and CVD-related mortality independent of adolescent obesity.

Background: Data are scarce on the availability and affordability of essential medicines for diabetes. Our aim was to examine the availability and affordability of metformin, sulfonylureas, and insulin across multiple regions of the world and explore the effect of these on medicine use., Methods: In the Prospective Urban Rural Epidemiology (PURE) study, participants aged 35-70 years (n=156 625) were recruited from 110 803 households, in 604 communities and 22 countries; availability (presence of any dose of medication in the pharmacy on the day of audit) and medicine cost data were collected from pharmacies with the Environmental Profile of a Community's Health audit tool. Our primary analysis was to describe the availability and affordability of metformin and insulin and also commonly used and prescribed combinations of two medicines for diabetes management (two oral drugs, metformin plus a sulphonylurea [either glibenclamide (also known as glyburide) or gliclazide] and one oral drug plus insulin [metformin plus insulin]). Medicines were defined as affordable if the cost of medicines was less than 20% of capacity-to-pay (the household income minus food expenditure). Our analyses included data collected in pharmacies and data from representative samples of households. Data on availability were ascertained during the pharmacy audit, as were data on cost of medications. These cost data were used to estimate the cost of a month's supply of essential medicines for diabetes. We estimated affordability of medicines using income data from household surveys., Findings: Metformin was available in 113 (100%) of 113 pharmacies from high-income countries, 112 (88·2%) of 127 pharmacies in upper-middle-income countries, 179 (86·1%) of 208 pharmacies in lower-middle-income countries, 44 (64·7%) of 68 pharmacies in low-income countries (excluding India), and 88 (100%) of 88 pharmacies in India. Insulin was available in 106 (93·8%) pharmacies in high-income countries, 51 (40·2%) pharmacies in upper-middle-income countries, 61 (29·3%) pharmacies in lower-middle-income countries, seven (10·3%) pharmacies in lower-income countries, and 67 (76·1%) of 88 pharmacies in India. We estimated 0·7% of households in high-income countries and 26·9% of households in low-income countries could not afford metformin and 2·8% of households in high-income countries and 63·0% of households in low-income countries could not afford insulin. Among the 13 569 (8·6% of PURE participants) that reported a diagnosis of diabetes, 1222 (74·0%) participants reported diabetes medicine use in high-income countries compared with 143 (29·6%) participants in low-income countries. In multilevel models, availability and affordability were significantly associated with use of diabetes medicines., Interpretation: Availability and affordability of essential diabetes medicines are poor in low-income and middle-income countries. Awareness of these global differences might importantly drive change in access for patients with diabetes., Funding: Full funding sources listed at the end of the paper (see Acknowledgments)., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Objective: The sequelae of increasing childhood obesity are of major concern. We assessed the association of BMI in late adolescence with diabetes mortality in midlife., Research Design and Methods: The BMI values of 2,294,139 Israeli adolescents (age 17.4 ± 0.3 years), measured between 1967 and 2010, were grouped by U.S. Centers for Disease Control and Prevention age/sex percentiles and by ordinary BMI values. The outcome, obtained by linkage with official national records, was death attributed to diabetes mellitus (DM) as the underlying cause. Cox proportional hazards models were applied., Results: During 42,297,007 person-years of follow-up (median, 18.4 years; range <1-44 years) there were 481 deaths from DM (mean age at death, 50.6 ± 6.6 years). There was a graded increase in DM mortality evident from the 25th to the 49th BMI percentile group onward and from a BMI of 20.0-22.4 kg/m 2 onward. Overweight (85th to 94th percentiles) and obesity (the 95th percentile or higher), compared with the 5th to 24th percentiles, were associated with hazard ratios (HRs) of 8.0 (95% CI 5.7-11.3) and 17.2 (11.9-24.8) for DM mortality, respectively, after adjusting for sex, age, birth year, height, and sociodemographic variables. The HR for the 50th through 74th percentiles was 1.6 (95% CI 1.1-2.3). Findings persisted in a series of sensitivity analyses. The estimated population-attributable fraction for DM mortality, 31.2% (95% CI 26.6-36.1%) for the 1967-1977 prevalence of overweight and obesity at age 17, rose to a projected 52.1% (95% CI 46.4-57.4%) for the 2012-2014 prevalence., Conclusions: Adolescent BMI, including values within the currently accepted "normal" range, strongly predicts DM mortality up to the seventh decade. The increasing prevalence of childhood and adolescent overweight and obesity points to a substantially increased future adult DM burden., (© 2016 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.)

Aims: To assess the time-dependent effect of sleep quality on diabetes and coronary artery disease (CAD) incidence among young adults., Methods: Incident rates of diabetes and CAD during a mean follow-up of 6.4 ± 4.1 years were assessed among 26,023 men (mean age 30.9 ± 5.6 years) of the Metabolic Lifestyle and Nutrition Assessment in Young Adults stratified by sleep quality at baseline, as assessed by the Mini-Sleep Questionnaire (MSQ). Incident diabetes and CAD were analyzed using a Cox proportional hazard model., Results: There were 445 cases of diabetes and 92 cases of CAD during 151,312 person-years. An abnormal MSQ score was associated with a 53 % higher incidence of diabetes (95 % CI 1.22-1.94, p < 0.001) compared to those with a normal score, after adjustment for clinical and biochemical diabetes risk factors. The increased risk associated with abnormal sleep quality remained when MSQ was modeled as a continuous time-dependent variable in a multivariable model (HR = 1.036, 95 % CI 1.024-1.049, p < 0.001). The increased risk was higher among overweight or obese participants (BMI and MSQ interaction p = 0.046). Sustained abnormality in MSQ score resulted in higher HR for diabetes (2.35; 95 % CI 1.564-3.519, p < 0.001). In addition, abnormal sleep quality was associated with a 2.38 higher incidence of CAD (95 % CI 1.38-4.11, p = 0.002), after adjustment for traditional clinical and biochemical risk factors., Conclusions: Sleep quality contributes to the development of diabetes and CAD in apparently healthy young adults in a time-dependent manner. The use of a simple questionnaire to assess sleep quality may be a useful tool for risk stratification in this population.

Objective: Diabetes is a risk factor for an accelerated rate of cognitive decline and dementia. However, the relationship between cognitive function and the subsequent development of diabetes is unclear., Research Design and Methods: We conducted a historical-prospective cohort study merging data collected at premilitary recruitment assessment with information collected at the Staff Periodic Examination Center of the Israeli Army Medical Corps. Included were men aged 25 years or older without a history of diabetes at the beginning of follow-up with available data regarding their general intelligence score (GIS), a comprehensive measure of cognitive function, at age 17 years., Results: Among 35,500 men followed for a median of 5.5 years, 770 new cases of diabetes were diagnosed. After adjustment for age, participants in the lowest GIS category had a 2.6-fold greater risk for developing diabetes compared with those in the highest GIS category. In multivariable analysis adjusted for age, BMI, fasting plasma glucose, sociogenetic variables, and lifestyle risk factors, those in the lowest GIS category had a twofold greater risk for incident diabetes when compared with the highest GIS category (hazard ratio 2.1 [95% CI 1.5-3.1]; P < 0.001). Additionally, participants in the lowest GIS category developed diabetes at a mean age of 39.5 ± 4.7 years and those in the highest GIS group at a mean age of 41.5 ± 5.1 years (P for comparison 0.042)., Conclusions: This study demonstrates that in addition to a potential causal link between diabetes and enhanced cognitive decline, lower cognitive function at late adolescence is independently associated with an elevated risk for future diabetes., (© 2014 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: To determine diabetes incidence over time among obese young adults without metabolic risk factors., Research Design and Methods: Incident diabetes during a median follow-up of 6.1 years was assessed among 33,939 young men (mean age 30.9 ± 5.2 years) of the Metabolic, Lifestyle and Nutrition Assessment in Young Adults cohort who were stratified for BMI and the number of metabolic abnormalities (based on the Adult Treatment Panel-III). Metabolically healthy (MH) obesity was defined as BMI ≥30 kg/m2 in the presence of normoglycemia, normal blood pressure, and normal levels of fasting triglyceride and HDL-cholesterol levels (n = 631)., Results: A total of 734 new cases of diabetes were diagnosed during 210,282 person-years of follow-up. The incidence rate of diabetes among participants with no metabolic risk factors was 1.15, 2.10, and 4.34 cases per 1,000 person-years among lean, overweight, and obese participants, respectively. In a multivariable model adjusted for age, region of origin, family history of diabetes, physical activity, fasting plasma glucose, triglyceride level, HDL-cholesterol, systolic blood pressure, and white blood cell count, a higher diabetes risk was observed among MH-overweight (hazard ratio [HR] 1.89 [95% CI 1.25-2.86]; P < 0.001) and MH-obese (HR 3.88 [95% CI 1.94-7.77]; P < 0.001) compared with MH-normal weight subjects. There was no interaction between BMI and the number of metabolic abnormalities at enrollment in predicting diabetes risk., Conclusions: Healthy metabolic profile and the absence of diabetes risk factors do not protect young adults from incident diabetes associated with overweight and obesity., (© 2014 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.)

High glucose concentrations are independent risk factors for many serious disorders. Glucose lowering can reduce or prevent many of these disorders. The mechanisms that cause glucose-linked tissue damage are unclear; however, the sequence of tissue changes that lead to one of these consequences (ie, retinopathy) have been understood for decades because the retina can be easily inspected and changes in its vascular supply can easily be assessed. The possibility that the long-term harms of raised glucose concentrations are mediated through reduced capillary perfusion (ie, vasculopenia) is suggested by strong epidemiological links between capillary abnormalities in the retina and most of the complications of diabetes, a delay between the therapeutic effect of glucose lowering in the retina and in other tissues, laboratory evidence that atherosclerosis is promoted by abnormalities in the capillary-rich vasa vasorum of conductance vessels, and similarities in capillary abnormalities in the retina and the kidney of people with diabetes. These findings also suggest that the retina might be a window through which the effect of raised glucose concentrations on a wide range of tissues can be seen. If continuing research lends support to this theory, treatments that counteract the effect of glucose on capillaries such as those in the retina might ultimately also reduce other serious consequences of dysglycaemia., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Much has been written regarding the recently discontinued Thiazolidinedione Intervention with Vitamin D Evaluation (TIDE) trial (ClinicalTrials.gov NCT00879970; Diabetologia 55: 36-45) and a variety of opinions have been advanced regarding its purpose, context and design (N Engl J Med 397: 959-964). As such, we deemed it appropriate to clarify TIDE's objectives, research questions and design and the clinical equipoise regarding its research questions.

Background: Physicians practicing in ambulatory care are adopting electronic health record (EHR) systems. Governments promote this adoption with financial incentives, some hinged on improvements in care. These systems can improve care but most demonstrations of successful systems come from a few highly computerized academic environments. Those findings may not be generalizable to typical ambulatory settings, where evidence of success is largely anecdotal, with little or no use of rigorous methods. The purpose of our pilot study was to evaluate the impact of a diabetes specific chronic disease management system (CDMS) on recording of information pertinent to guideline-concordant diabetes care and to plan for larger, more conclusive studies., Methods: Using a before-after study design we analyzed the medical record of approximately 10 patients from each of 3 diabetes specialists (total = 31) who were seen both before and after the implementation of a CDMS. We used a checklist of key clinical data to compare the completeness of information recorded in the CDMS record to both the clinical note sent to the primary care physician based on that same encounter and the clinical note sent to the primary care physician based on the visit that occurred prior to the implementation of the CDMS, accounting for provider effects with Generalized Estimating Equations., Results: The CDMS record outperformed by a substantial margin dictated notes created for the same encounter. Only 10.1% (95% CI, 7.7% to 12.3%) of the clinically important data were missing from the CDMS chart compared to 25.8% (95% CI, 20.5% to 31.1%) from the clinical note prepared at the time (p < 0.001) and 26.3% (95% CI, 19.5% to 33.0%) from the clinical note prepared before the CDMS was implemented (p < 0.001). There was no significant difference between dictated notes created for the CDMS-assisted encounter and those created for usual care encounters (absolute mean difference, 0.8%; 95% CI, -8.5% to 6.8%)., Conclusions: The CDMS chart captured information important for the management of diabetes more often than dictated notes created with or without its use but we were unable to detect a difference in completeness between notes dictated in CDMS-associated and usual-care encounters. Our sample of patients and providers was small, and completeness of records may not reflect quality of care.

Objective: It is unknown whether computer-generated, patient-tailored feedback leads to improvements in glycemic control in people with type 2 diabetes., Research Design and Methods: We recruited people with type 2 diabetes aged ≥ 40 years with a glycated hemoglobin (A1C) ≥ 7%, living in Hamilton, Canada, who were enrolled in a community-based program (Diabetes Hamilton) that provided regular evidence-based information and listings of community resources designed to facilitate diabetes self-management. After completing a questionnaire, participants were randomly allocated to either receive or not receive periodic computer-generated, evidence-based feedback on the basis of their questionnaire responses and designed to facilitate improved glycemic control and diabetes self-management. The primary outcome was a change in A1C after 1 year., Results: A total of 465 participants (50% women, mean age 62 years, and mean A1C 7.83%) were randomly assigned, and 12-month A1C values were available in 96% of all participants, at which time the A1C level had decreased by an absolute amount of 0.24 and 0.15% in the intervention and control groups, respectively. The difference in A1C reduction for the intervention versus control group was 0.09% (95% CI -0.08 to 0.26; P = 0.3). No between-group differences in measures of quality of life, diabetes self-management behaviors, or clinical outcomes were observed., Conclusions: Providing computer-generated tailored feedback to registrants of a generic, community-based program that supports diabetes self-management does not lead to lower A1C levels or a better quality of life than participation in the community-based program (augmented by periodic A1C testing) alone.

Objective: The purpose of this study was to identify predictors of incident diabetes during follow-up of nondiabetic patients with chronic heart failure (CHF) in the Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity (CHARM) program., Research Design and Methods: A total of 1,620 nondiabetic patients had full baseline datasets. We compared baseline demographic, medication, and laboratory data for patients who did or did not develop diabetes and conducted logistic regression and receiver operator characteristic curve analyses., Results: Over a median period of 2.8 years, 126 of the 1,620 patients (7.8%) developed diabetes. In multiple logistic regression analysis, the following baseline characteristics were independently associated with incident diabetes in decreasing order of significance by stepwise selection: higher A1C (odds ratio [OR] 1.78 per 1 SD increase; P < 0.0001), higher BMI (OR 1.64 per 1 SD increase; P < 0.0001), lipid-lowering therapy (OR 2.05; P = 0.0005), lower serum creatinine concentration (OR 0.68 per 1 SD increase; P = 0.0018), diuretic therapy (OR 4.81; P = 0.003), digoxin therapy (OR 1.65; P = 0.022), higher serum alanine aminotransferase concentration (OR 1.15 per 1 SD increase; P = 0.027), and lower age (OR 0.81 per 1 SD increase; P = 0.048). Using receiver operating characteristic curve analysis, A1C and BMI yielded areas under the curve of 0.723 and 0.712, respectively, increasing to 0.788 when combined. Addition of other variables independently associated with diabetes risk minimally improved prediction of diabetes., Conclusions: In nondiabetic patients with CHF in CHARM, A1C and BMI were the strongest predictors of the development of diabetes. Other minor predictors in part reflected CHF severity or drug-associated diabetes risk. Identifying patients with CHF at risk of diabetes through simple criteria appears possible and could enable targeted preventative measures.

Background: Both a history of diabetes mellitus and elevated inhospital glucose levels predict death after acute myocardial infarction (AMI). However, only diabetes history (and not glucose levels) is routinely considered in AMI risk assessment., Methods: We conducted a post hoc analysis of 2 randomized controlled trials of AMI with ST-segment elevation to compare the prognostic value of inhospital glucose levels with diabetes history in 30,536 subjects. Average inhospital glucose (mean of glucose levels at admission, 6 hours, and 24 hours), diabetes history, and death at 30 days (occurring in 2,808 subjects) were documented., Results: Average glucose predicted 30-day death (OR 1.10 per 1-mmol/L [18-mg/dL] increase, 95% CI 1.09-1.11, P < .0001); this was unchanged after adjusting for diabetes history. In contrast, diabetes history alone predicted 30-day death (OR 1.63, 95% CI 1.48-1.78, P < .0001), but not after adjusting for average glucose (OR 0.98, 95% CI 0.88-1.09, P = .72). The C-indices (areas under the receiver operating characteristic curves) for 30-day death were 0.54 for diabetes history alone, 0.64 for average glucose alone, and 0.64 for glucose plus diabetes. Higher glucose levels predicted death in patients with and without diabetes history, but this relationship was more steep in nondiabetic subjects such that their rate of 30-day death (13.2%) matched that of diabetic patients (13.7%) when average glucose was > or =144 mg/dL (8 mmol/L) (P = .55 after multivariable adjustment)., Conclusions: Although diabetes history is routinely considered in the risk stratification of AMI patients, inhospital glucose levels are a much stronger predictor of death and should be incorporated in their risk assessment. Patients with AMI with inhospital glucose > or =144 mg/dL have a very high risk of death regardless of diabetes history.

Aims: To assess the cross-sectional associations of the measures of glycemia and cognitive function in subjects at high cardiovascular risk., Setting and Patients: The ONgoing Telmisartan Alone and in combination with Ramipril Global Endpoint Trial (ONTARGET) and concurrent Telmisartan Randomized Assessment Study in ACE intolerant Subjects with Cardiovascular Disease (TRANSCEND) are multi-center, randomized, controlled investigations of different approaches to angiotensin receptor blockade in over 30,000 high CV risk subjects. Baseline data in both trials was used to analyze relationships between measures of glycemic control and cognition., Outcomes: The univariate and multivariate relationships between diabetes status, fasting plasma glucose (FPG), and scores on the Mini-Mental State Examination (MMSE) were assessed., Results: In subjects with diabetes, the mean MMSE score was 0.4 units lower than in those without diabetes (P<0.0001). In all subjects, a 1 mmol/L higher FPG value was associated with a MMSE score that was 0.06 units lower (P<0.0001). The association persisted after adjustment for several cardiovascular risk factors., Conclusions: Dysglycemia is a risk factor for impaired cognitive function in this broadly representative, high-risk study population. Prospective studies can more reliably discern temporal associations, including the effects of glucose lowering in this clinical group.

Background: Several estimates of the risk of progression to diabetes in people with impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) have been reported., Objective: To provide an estimate of the risk of progression to diabetes and regression to normoglycemia in these populations., Design: Systematic overview and meta-analysis of prospective cohort studies published from 1979 until 2004., Setting: Global cohort studies., Patients: People with IFG or IGT detected by a screening oral glucose tolerance test., Measurements: Fasting and post-load plasma glucose levels., Results: The absolute annual incidence of diabetes in individuals with various categories of IFG or IGT varied from 5 to 10%. Compared to normoglycemic people the meta-analyzed relative risk and 95% confidence interval for diabetes was: 6.35 (4.87-7.82) in people with IGT; 5.52 (3.13-7.91) in people with isolated IGT; 4.66 (2.47-6.85) in people with IFG; 7.54 (4.63-10.45) in people with isolated IFG; and 12.13 (4.27-20.00) in people with both IFG and IGT. People with IGT were 0.33 times as likely to be normoglycemic after 1 year compared to people with normal glucose tolerance (95% CI 0.23-0.43)., Limitations: Studies that used differing criteria for IFG and IGT were included, and participants were classified on the basis of only one test., Conclusion: IFG and IGT are associated with similar, high relative risk for incident diabetes. The combined abnormality of IFG plus IGT is associated with the highest relative risk.

Background: The classifications of impaired glucose tolerance (IGT) and impaired fasting glucose (IFG) represent glucose levels above normal, but below the decision threshold for diabetes. We sought to determine what the reproducibility of these classifications was when repeat tests were performed by conducting a systematic review of the literature., Methods: All primary studies published in English of any study design were included. Studies were excluded if they did not follow the World Health Organization or American Diabetes Association diagnostic criteria, used whole blood as the specimen type, a glucose meter for analysis, or performed repeat testing greater than 8 weeks apart., Results: Five papers had reproducibility data for IGT or IFG, two of which where from the same population but sampled differently. The kappa coefficients, indicating agreement between repeat tests that exceeded chance, indicated poor to fair agreement for IGT (0.04, 0.22, 0.38, 0.42) and moderate agreement for IFG (0.44 and 0.56). Similarly, the observed reproducibility was slightly lower for IGT (33%, 44%, 47%, 48%) compared to IFG (51%, 64%). In two studies for which data were available for both IGT and IFG, the average reproducibility was lower (49%) for the prediabetes group compared to the diabetes group (73%) or the normal group (93%)., Conclusions: Poor reproducibility of IGT and IFG classification suggests caution should be exercised when interpreting a single test result.

Background: Previous studies have suggested that blockade of the renin-angiotensin system may prevent diabetes in people with cardiovascular disease or hypertension., Methods: In a double-blind, randomized clinical trial with a 2-by-2 factorial design, we randomly assigned 5269 participants without cardiovascular disease but with impaired fasting glucose levels (after an 8-hour fast) or impaired glucose tolerance to receive ramipril (up to 15 mg per day) or placebo (and rosiglitazone or placebo) and followed them for a median of 3 years. We studied the effects of ramipril on the development of diabetes or death, whichever came first (the primary outcome), and on secondary outcomes, including regression to normoglycemia., Results: The incidence of the primary outcome did not differ significantly between the ramipril group (18.1%) and the placebo group (19.5%; hazard ratio for the ramipril group, 0.91; 95% confidence interval [CI], 0.81 to 1.03; P=0.15). Participants receiving ramipril were more likely to have regression to normoglycemia than those receiving placebo (hazard ratio, 1.16; 95% CI, 1.07 to 1.27; P=0.001). At the end of the study, the median fasting plasma glucose level was not significantly lower in the ramipril group (102.7 mg per deciliter [5.70 mmol per liter]) than in the placebo group (103.4 mg per deciliter [5.74 mmol per liter], P=0.07), though plasma glucose levels 2 hours after an oral glucose load were significantly lower in the ramipril group (135.1 mg per deciliter [7.50 mmol per liter] vs. 140.5 mg per deciliter [7.80 mmol per liter], P=0.01)., Conclusions: Among persons with impaired fasting glucose levels or impaired glucose tolerance, the use of ramipril for 3 years does not significantly reduce the incidence of diabetes or death but does significantly increase regression to normoglycemia. (ClinicalTrials.gov number, NCT00095654 [ClinicalTrials.gov].)., (Copyright 2006 Massachusetts Medical Society.)

Much of the practice of modern medicine deals with prevention of the consequences of chronic conditions, including diabetes, hypertension, obesity, asthma, chronic bronchitis, and inflammatory bowel diseases. To achieve this end, identifying people at risk for these consequences and then initiating the appropriate, evidence-based preventive therapies are key. Characterization and study of risk factors are at the core of this effort and represent the only way that high-risk individuals can be identified. These risk factors can be any imagined variable, ranging from a genetic mutation to a blood result, a previous disease, exposure to an infectious agent or toxin, a socioeconomic state, ethnicity, birth weight, or country of origin. All causal factors for an outcome are risk factors for that outcome; reducing these risk factors almost certainly reduces the outcome. The converse is usually not true, however: identification of a risk factor reveals little about its causal connection to the outcome in question, and reducing this risk factor may or may not reduce the outcome. Once high-risk individuals are identified on the basis of their risk factor profile, the relevant clinical question relates to which therapies have been identified clearly that will reduce the risk or the outcome. If modification of the level of the risk factor is considered therapeutically, the question of whether the risk factor is also a good surrogate outcome must be answered. Information regarding whether the risk factor causes the disease is highly desirable; however, it is often unavailable and is not required before making therapeutic decisions.

The Heart Outcomes Prevention Evaluation (HOPE) study, an international randomized trial, was designed to evaluate the effects of the angiotensin-converting enzyme (ACE) inhibitor ramipril and vitamin E in patients at high risk for cardiovascular events. The study did not detect any cardiovascular benefit or harm using vitamin E. Results for the vitamin E arm are not discussed here. Of 9541 patients, 3577 with diabetes received either ramipril (10 mg) or placebo. Among these patients, ramipril use was associated with a significant 25% reduction in risk for the composite endpoint of myocardial infarction (MI), stroke, or cardiovascular death after a median follow-up period of 4.5 years. This benefit was independent of any blood pressure-lowering effect. The Microalbuminuria, Cardiovascular, and Renal Outcomes in HOPE (MICRO-HOPE) substudy in this patient population showed that ramipril treatment was associated with a decreased risk of development of overt nephropathy. Use of a composite measure of microvascular complications also suggested a protective effect of ramipril treatment. An interesting finding in the HOPE study is that ramipril treatment was associated with a significant 34% reduction in new diagnoses of diabetes. The possibility that ACE inhibitor treatment with ramipril may prevent new diabetes in non-diabetic patients at high risk of the disease is to be examined prospectively in the Diabetes Reduction Assessment with ramipril and rosiglitazone (DREAM) trial., (Copyright 2002 John Wiley & Sons, Ltd.)

Background: Evidence about the association between calculated remnant cholesterol (RC) and risk of heart failure (HF) in participants with diabetes mellitus (DM) remains sparse and limited. Methods: We included a total of 22 230 participants with DM from the UK Biobank for analyses. Participants were categorized into three groups based on their baseline RC measures: low (with a mean RC of 0.41 mmol/L), moderate (0.66 mmol/L), and high (1.04 mmol/L). Cox proportional hazards models were used to evaluate the relationship between RC groups and HF risk. We performed discordance analysis to evaluate whether RC was associated with HF risk independently of low-density lipoprotein cholesterol (LDL-C). Results: During a mean follow-up period of 11.5 years, there were a total of 2232 HF events observed. The moderate RC group was significantly related with a 15% increased risk of HF when compared with low RC group (hazard ratio [HR] = 1.15, 95% confidence interval [CI]: 1.01--1.32), while the high RC group with a 23% higher HF risk (HR = 1.23, 95% CI: 1.05-1.43). There was significant relationship between RC as a continuous measure and the increased HF risk (P < 0.01). The association between RC and risk of HF was stronger in participants with HbA1c level = 53 mmol/mol when compared with HbA1c < 53 mmol/mol (P for interaction = 0.02). Results from discordance analyses showed that RC was significantly related to HF risk independent of LDL-C measures. Conclusions: Elevated RC was significantly associated with risk of HF in patients with DM. Moreover, RC was significantly related to HF risk independent of LDL-C measures. These findings may highlight the importance of RC management to HF risk in patients with DM. [ABSTRACT FROM AUTHOR]

Background: In the AMPLITUDE-O (Effect of Efpeglenatide on Cardiovascular Outcomes) cardiovascular outcomes trial, adding either 4 mg or 6 mg weekly of the glucagon-like peptide-1 receptor agonist efpeglenatide to usual care reduced major adverse cardiovascular events (MACE) in people with type 2 diabetes at high cardiovascular risk. Whether these benefits are dose related remains uncertain. Methods: Participants were randomly assigned in a 1:1:1 ratio to placebo, 4 mg or 6 mg of efpeglenatide. The effect of 6 mg versus placebo and of 4 mg versus placebo on MACE (a nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular or unknown causes) and on all the secondary composite cardiovascular and kidney outcomes was assessed. A dose-response relationship was assessed using the log-rank test and χ2 statistic for trend. Results: During a median follow-up of 1.8 years, MACE occurred in 125 (9.2%) participants assigned to placebo, 84 (6.2%) participants assigned to 6 mg of efpeglenatide (hazard ratio [HR], 0.65 [95% CI, 0.5–0.86]; P =0.0027), and 105 (7.7%) assigned to 4 mg of efpeglenatide (HR, 0.82 [95% CI, 0.63–1.06]; P =0.14). Participants receiving high-dose efpeglenatide also experienced fewer secondary outcomes, including the composite of MACE, coronary revascularization, or hospitalization for unstable angina (HR, 0.73 for 6 mg, P =0.011; HR, 0.85 for 4 mg, P =0.17), a kidney composite outcome comprising sustained new macroalbuminuria, a ≥40% decline in estimated glomerular filtration rate or renal failure (HR, 0.63 for 6 mg, P <0.0001; HR, 0.73 for 4 mg, P =0.0009), MACE or any death (HR, 0.67 for 6 mg, P =0.0021; HR, 0.81 for 4 mg, P =0.08), a kidney function outcome comprising a sustained ≥40% decline in estimated glomerular filtration rate, renal failure, or death (HR, 0.61 for 6 mg, P =0.0072; HR, 0.97 for 4 mg, P =0.83), and the composite of MACE, any death, heart failure hospitalization, or the kidney function outcome (HR, 0.63 for 6 mg, P =0.0002; HR, 0.81 for 4 mg, P =0.067). A clear dose-response was noted for all primary and secondary outcomes (all P for trend ≤0.018). Conclusions: The graded salutary relationship between efpeglenatide dose and cardiovascular outcomes suggests that titrating efpeglenatide and potentially other glucagon-like peptide-1 receptor agonists to high doses may maximize their cardiovascular and renal benefits. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03496298. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the association between stuttering in adolescence and incident type 2 diabetes in young adulthood.Methods: This nationwide population-based study included 2 193 855 adolescents of age 16 to 20 years who were assessed for military service between 1980 and 2013. Diagnoses of stuttering in adolescence were confirmed by a speech-language pathologist. Diabetes status for each individual as of December 31, 2016, was determined by linkage to the Israeli National Diabetes Registry. Relationships were analyzed using regression models adjusted for socioeconomic variables, cognitive performance, coexisting morbidities, and adolescent body mass index.Results: Analysis was stratified by sex (Pinteraction = 0.035). Of the 4443 (0.4%) adolescent men with stuttering, 162 (3.7%) developed type 2 diabetes, compared with 25 678 (2.1%) men without stuttering (adjusted odds ratio [OR] 1.3; 95% CI, 1.1-1.6). This relationship persisted when unaffected brothers of men with stuttering were used as the reference group (adjusted OR = 1.5; 95% CI, 1.01-2.2), or when the analysis included only adolescents with unimpaired health at baseline (adjusted OR = 1.4; 95% CI, 1.1-1.7). The association was stronger in later birth cohorts, with an adjusted OR of 2.4 (1.4-4.1) for cases of type 2 diabetes before age 40. Of the 503 (0.1%) adolescent women with stuttering 7 (1.4%) developed type 2 diabetes, compared with 10 139 (1.1%) women without stuttering (OR = 2.03; 95% CI, 0.48-2.20).Conclusions: Adolescent stuttering is associated with an increased risk for early-onset type 2 diabetes among men. [ABSTRACT FROM AUTHOR]

Aims The association of body weight and weight change with mortality and cardiovascular (CV) outcome in patients with diabetes mellitus (DM) is not clearly established. We assessed the relationship between weight, weight change, and outcomes in patients with established CV risk factors and type 2 DM or pre-diabetes. Methods and results A total of 12 521 participants from the ORIGIN trial were grouped in BMI categories of low body weight [body mass index (BMI) < 22 kg/m2] normal (22–24.9), overweight (25–29.9), obesity Grades 1–3 (30–34.9, 35–39.9, ≥40 kg/m2, respectively). Outcome variables included total and CV mortality and composite outcomes of CV death, non-fatal stroke, or myocardial infarction plus revascularization or heart failure hospitalization. Follow-up was 6.2 years (interquartile range 5.8–6.7 years). After multivariable adjustment, lowest risks were seen in patients with overweight and mild obesity for total mortality [overweight: hazard ratio (HR) 0.80 (95% confidence interval (CI) 0.69–0.91); obesity Grade 1: HR 0.82 (0.71–0.95), both P  < 0.01)] and CV mortality [overweight: HR 0.79 (0.66–0.94); obesity Grade 1: 0.79 (0.65–0.95), all compared to patients with normal BMI, P  < 0.05]. Obesity of any severity was not associated with higher mortality. Low body weight was related to higher mortality [HR 1.28 (1.02–1.61); CV mortality: HR 1.34 (1.01–1.79), P  < 0.05]. A continued 2-year weight loss was associated with higher risk of mortality [HR 1.32 (1.18–1.46), P  < 0.0001] and CV mortality [HR 1.18 (1.02–1.35), compared to patients without weight loss, P  < 0.05]. In turn, weight gain was not related to any adverse outcome. Conclusion Obesity in patients with DM or pre-diabetes and CV risk profile was not associated with higher mortality or adverse CV outcome. The lowest mortality risk was seen in patients with overweight and moderate obesity (BMI 25–35 kg/m2). Weight loss was an independent risk factor for higher mortality compared to no weight loss. Open in new tab Download slide Open in new tab Download slide [ABSTRACT FROM AUTHOR]

Background: Serum biomarkers may identify people at risk for cardiovascular (CV) outcomes. Biobanked serum samples from 8494 participants with dysglycemia in the completed Outcome Reduction With Initial Glargine Intervention trial were assayed for 284 biomarkers to identify those that could identify people at risk for a CV outcome or death when added to clinical measurements.Methods and Results: A multiplex analysis measured a panel of cardiometabolic biomarkers in 1 mL of stored frozen serum from every participant who provided biobanked blood. After eliminating undetectable or unanalyzable biomarkers, 8401 participants who each had a set of 237 biomarkers were analyzed. Forward-selection Cox regression models were used to identify biomarkers that were each independent determinants of 3 different incident outcomes: (1) the composite of myocardial infarction, stroke, or CV death; (2) these plus heart failure hospitalization or revascularization; and (3) all-cause death. When added to clinical variables, 10 biomarkers were independent determinants of the 1405 CV composite outcomes observed during follow-up; 9 biomarkers (including 8 of these 10) were independent determinants of the 2435 expanded composite outcomes; and 15 (including the 10 CV composite biomarkers) were independent determinants of the 1340 deaths. Adjusted C statistics increased from 0.64 for the clinical variables to 0.71 and 0.68 for the 2 CV composite outcomes, respectively, with the greatest increase to 0.75 for death (P<0.001 for the change).Conclusions: A systematic hypothesis-free approach identified combinations of up to 15 cardiometabolic biomarkers as independent determinants of CV outcomes or death in people with dysglycemia.Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00069784. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Diabetes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: To investigate whether the combination of HbA1c and fasting plasma glucose (FPG) can be used for the diagnosis of diabetes and impaired glucose tolerance (IGT) in people at high risk of cardiovascular disease (CVD). Methods: A cross-sectional study was performed on 2907 people at high risk of cardiovascular events but without a previous diagnosis of diabetes. Optimal cut-off points and the diagnostic potential of FPG, HbA1c, and their combination were determined. Results: The sensitivity of the usually applied FPG cut-off point of 7.0 mmol/L to diagnose diabetes mellitus was low (59.0%). Receiver operating characteristic (ROC) curve analysis indicated that the optimal cut-off points for the diagnosis of diabetes using FPG and HbA1c were 6.4 mmol/L (sensitivity 75.7%; specificity 77.5%; likelihood ratio 3.37) and 5.9% (41 mmol/mol; sensitivity 68.7%; specificity 67.1%; likelihood ratio 2.09), respectively. To diagnose IGT, the optimal cut-off points for FPG and HbA1c were 6.1 mmol/L (sensitivity 57.1%; specificity 57.9%) and 5.7% (39 mmol/mol; sensitivity 63.8%; specificity 60.3%), respectively. For diabetes, combining cut-off points for FPG and HbA1c identified four categories with likelihood ratios ranging from 5.59 to 0.21, and post-test probabilities between 69.3% and 7.8%. For IGT, likelihood ratios varied between 2.05 and 0.56, whereas post-test probabilities ranged from 84.0% to 58.8%. Conclusions: Using FPG alone results in the underdiagnosis of glucometabolic abnormalities in people at high risk of CVD. Using an algorithm with both HbA1c and FPG improves the detection of diabetes, but not IGT, and could be easily implemented in patient care. [ABSTRACT FROM AUTHOR]

Insulin therapy was first proposed as an adjunctive therapy in patients with acute coronary syndromes (ACS) in the 1960s. Since then, numerous randomised clinical trials have been conducted to determine the efficacy and to define the role of insulin therapy in ACS. This review will discuss: 1) completed trials of insulin therapy in ACS, including both glucose-insulin-potassium (GIK) approaches and non-GIK approaches; 2) trials of insulin therapy in critically ill non-ACS patients and the lessons from these trials that can be applied to trials of insulin in ACS patients; and 3) a summary of ongoing and planned trials of insulin in ACS patients. [ABSTRACT FROM PUBLISHER]

The article explains the relationship between diabetes and cardiovascular disease. Glucose and its metabolites have direct toxic effects on vascular endothelium. Abnormal glucose is evidence of absolute or relative insulin deficiency, which can predispose patients to cardiovascular disease via endothelial dysfunction, lipid abnormalities and inflammation. Antecedent factors may contribute to the development of both diabetes ad cardiovascular disease.

The author discusses the efficacy of rosiglitazone and other glucose lowering drugs in cardiovascular outcomes of people with diabetes mellitus. He explores the findings of several studies which showed the increased risk for fatal and nonfatal cardiovascular outcomes in people with diabetes mellitus compared to those without the disorder. He also discusses several outcome trials that assessed the cardiovascular effects of drugs that lower glucose levels by targeting physiological systems.

Background: Both sodium-glucose cotransporter-2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists reduce cardiovascular events among patients with type 2 diabetes. However, no cardiovascular outcome trial has evaluated the long-term effects of their combined use. The AMPLITUDE-O trial (Effect of Efpeglenatide on Cardiovascular Outcomes) reported that once-weekly injections of the glucagon-like peptide-1 receptor agonists efpeglenatide (versus placebo) reduced major adverse cardiovascular events (MACEs); MACEs, coronary revascularization, or unstable angina hospitalization (expanded MACEs); a renal composite outcome; and MACEs or death in people with type 2 diabetes and cardiovascular or renal disease. The trial uniquely stratified randomization by baseline or anticipated use of SGLT2 inhibitors and included the highest prevalence at baseline (N=618, 15.2%) of SGLT2 inhibitor use among glucagon-like peptide-1 receptor agonist cardiovascular outcome trials to date. Its results were analyzed to estimate the combined effect of SGLT2 inhibitors and efpeglenatide on clinical outcomes.Methods: Cardiovascular and renal outcomes were analyzed with Cox proportional hazards models adjusted for region, SGLT2 inhibitor randomization strata, and the SGLT2 inhibitor-by-treatment interaction. Continuous variables were analyzed with a mixed-effects models for repeated measures that also included an interaction term.Results: The effect (hazard ratio [95% CI]) of efpeglenatide versus placebo in the absence and presence of baseline SGLT2 inhibitors on MACEs (0.74 [0.58-0.94] and 0.70 [0.37-1.30], respectively), expanded MACEs (0.77 [0.62-0.96] and 0.87 [0.51-1.48]), renal composite (0.70 [0.59-0.83] and 0.52 [0.33-0.83]), and MACEs or death (0.74 [0.59-0.93] and 0.65 [0.36-1.19]) did not differ by baseline SGLT2 inhibitor use (P for all interactions >0.2). The reduction of blood pressure, body weight, low-density lipoprotein cholesterol, and urinary albumin-to-creatinine ratio by efpeglenatide also appeared to be independent of concurrent SGLT2 inhibitor use (all interaction P≥0.08). Last, adverse events did not differ by baseline SGLT2 inhibitor use.Conclusions: The efficacy and safety of efpeglenatide appear to be independent of concurrent SGLT2 inhibitor use. These data support combined SGLT2 inhibitor and glucagon-like peptide-1 receptor agonist therapy in type 2 diabetes. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03496298. [ABSTRACT FROM AUTHOR]

Abstract: Background: Diabetes status is an independent marker of restenosis after percutaneous coronary intervention (PCI). Previous studies suggest that metabolic abnormalities associated with diabetes increase stent restenosis by promoting intimal hyperplasia. Preclinical studies have indicated that insulin therapy reduces intimal hyperplasia. The objective of this study was to determine whether insulin-mediated glucose lowering reduces in-stent restenosis in patients with diabetes undergoing PCIs. Methods: We conducted a prospective, randomized, multicenter, open-labeled study with blinded outcomes. Patients were randomized 1:1 to daily bedtime subcutaneous NPH insulin (Novo Nordisk) versus usual therapy with oral hypoglycemic agents. The main outcomes were change in volume of intimal hyperplasia within the stent measured by intravascular ultrasound and late lumen loss by quantitative coronary angiography at 6 months post-PCI. Results: Seventy-eight patients (36 insulin, 42 usual care) were randomized. Eight patients in each group received drug-eluting stents. The insulin group achieved greater reductions in both glycosylated hemoglobin A1c (mean±S.D.) (insulin: 8.0%±1.2% to 6.7%±0.7% vs. control: 7.5%±1.2% to 7.1%±1.0 %, P=.0038) and fasting glucose (insulin: 9.3±3.8 to 5.8±1.7 vs. usual care: 8.4±2.4 to 7.7±2.0 mmol/l, P<.0001). There were no hypoglycemic events. At 6 months, there were no significant differences in either intravascular-ultrasound-determined neointimal volume (insulin: 41.2±38.9 vs. usual care: 48.4±40.2 mm3, P=.33) or late lumen loss by angiography (insulin: 1.29±0.74 mm vs. usual care: 1.02±0.71 mm, P=.17). Conclusions: Addition of a single bedtime dose of insulin in patients with diabetes does not influence in-stent restenosis. [Copyright &y& Elsevier]

Objectives: This study examines the risk of acute myocardial infarction (MI) conferred by the metabolic syndrome (MS) and its individual factors in multiple ethnic populations. Background: The risk of the MS on MI has not been well characterized, especially in multiple ethnic groups. Methods: Participants in the INTERHEART study (n = 26,903) involving 52 countries were classified using the World Health Organization (WHO) and International Diabetes Federation (IDF) criteria for MS, and their odds ratios (ORs) for MI were compared with the individual MS component factors. Results: The MS is associated with an increased risk of MI, both using the WHO (OR: 2.69; 95% confidence interval [CI]: 2.45 to 2.95) and IDF (OR: 2.20; 95% CI: 2.03 to 2.38) definitions, with corresponding population attributable risks of 14.5% (95% CI: 12.7% to 16.3%) and 16.8% (95% CI: 14.8% to 18.8%), respectively. The associations are directionally similar across all regions and ethnic groups. Using the WHO definition, the association with MI by the MS is similar to that of diabetes mellitus (OR: 2.72; 95% CI: 2.53 to 2.92) and hypertension (OR: 2.60; 95% CI: 2.46 to 2.76), and significantly stronger than that of the other component risk factors. The clustering of ≥3 risk factors with subthreshold values is associated with an increased risk of MI (OR: 1.50; 95% CI: 1.24 to 1.81) compared with having component factors with “normal” values. The IDF definition showed similar results. Conclusions: In this large-scale, multi-ethnic, international investigation, the risk of MS on MI is generally comparable to that conferred by some, but not all, of its component risk factors. The characterization of risk factors, especially continuous variables, as dichotomous will underestimate risk and decrease the magnitude of association between MS and MI. [Copyright &y& Elsevier]

In patients with diabetes and cardiovascular or renal comorbidities, circulating levels of the N-terminal fragment of prohormone B-type natriuretic peptide (NT-proBNP) have similar discriminatory ability as multivariate models for prediction of cardiovascular events or death. We validated this finding in patients with dysglycemia not selected for co-existing cardiorenal diseases. [ABSTRACT FROM AUTHOR]