Rosiglitazone Decreases C-Reactive Protein to a Greater Extent Relative to Glyburide and Metformin Over 4 Years Despite Greater Weight Gain: Observations from A Diabetes Outcome Progression Trial (ADOPT)

OBJECTIVE

C-reactive protein (CRP) is closely associated with obesity and cardiovascular disease in both diabetic and nondiabetic populations. In the short term, commonly prescribed antidiabetic agents have different effects on CRP; however, the long-term effects of those agents are unknown.

RESEARCH DESIGN AND METHODS

In A Diabetes Outcome Progression Trial (ADOPT), we examined the long-term effects of rosiglitazone, glyburide, and metformin on CRP and the relationship among CRP, weight, and glycemic variables in 904 subjects over 4 years.

RESULTS

Baseline CRP was significantly correlated with homeostasis model assessment of insulin resistance (HOMA-IR), A1C, BMI, waist circumference, and waist-to-hip ratio. CRP reduction was greater in the rosiglitazone group by −47.6% relative to glyburide and by −30.5% relative to metformin at 48 months. Mean weight gain from baseline (at 48 months) was 5.6 kg with rosiglitazone, 1.8 kg with glyburide, and −2.8 kg with metformin. The change in CRP from baseline to 12 months was correlated positively with change in BMI in glyburide (r = 0.18) and metformin (r = 0.20) groups but not in the rosiglitazone (r = −0.05, NS) group. However, there was no longer a significant correlation between change in CRP and change in HOMA-IR, A1C, or waist-to-hip ratio in any of the three treatment groups.

CONCLUSIONS

Rosiglitazone treatment was associated with durable reductions in CRP independent of changes in insulin sensitivity, A1C, and weight gain. CRP in the glyburide and metformin groups was positively associated with changes in weight, but this was not the case with rosiglitazone.C-reactive protein (CRP) has been traditionally viewed as one of the acute-phase reactants and is a sensitive systemic marker of inflammation and tissue damage. This acute-phase inflammatory protein is predominantly secreted in hepatocytes, its release being regulated by interleukin-6 and other inflammatory cytokines (1). Other studies have shown that extrahepatic sources of CRP production from adipocytes could point to a more systemic generation of CRP in the body after stimulation by inflammatory cytokines and more specifically, by the adipokine, resistin (1).Both population-based and prospective studies have demonstrated a clear association between CRP and an increased risk of cardiovascular disease (CVD) and stroke (2). The magnitude of the CRP prediction for future CVD events is similar to that of other traditional CVD risk factors (cholesterol, hypertension, and smoking status) (2). CRP also may be a mediator of atherosclerosis (1,3–6). However, there is no available evidence from clinical trials that a reduction in CRP directly reduces or prevents further CVD events.The production of CRP by adipocytes may partially explain why CRP levels are elevated in patients with the metabolic syndrome (1), in whom CVD risk is increased. The strong association between CRP and body adiposity has been observed in both diabetic (7) and nondiabetic subjects (8–11) and was only moderately attenuated by adjustment of insulin sensitivity. These results suggest that obesity, insulin resistance, and the metabolic syndrome are interconnected in a proinflammatory state that may be mediated by cytokines and subsequently cause elevated levels of CRP. Elevated CRP concentrations have been shown to predict an increased risk of diabetes (9,12,13). Therefore, CRP may play an active role in the causal relationship among obesity, diabetes, and the high risk of future CVD events. Statins (14) and weight loss (15–17), which can reduce CRP levels and improve other CVD risk factors, also show benefits in reducing CVD events.Glucose-lowering agents have different effects on CRP, weight, insulin sensitivity, and glycemic control in the treatment of type 2 diabetes. The thiazolidinediones (TZDs) rosiglitazone and pioglitazone, insulin-sensitizing oral antidiabetic agents, have been shown to be effective in reducing CRP in several short-term (≤6 months) studies (18–21). However, it is not clear whether the weight gain associated with TZDs could attenuate the effect on CRP reduction over larger periods of time. In short-term studies, metformin moderately decreases CRP (16,18), increases insulin sensitivity, and produces weight loss (16). The longer-term relationships among the three commonly used oral antidiabetic agents (TZDs, sulfonylureas, and metformin) with CRP, insulin sensitivity, weight, and glycemic control have not been investigated previously.A Diabetes Outcome Progression Trial (ADOPT) provided the opportunity to evaluate the effects of members of these three classes of oral agents in a randomized, double-blind, controlled trial involving >4,000 patients, treated for a median time of 4 years (22,23). This study compared the efficacy and safety of rosiglitazone, glyburide, and metformin in drug-naive patients with newly diagnosed (≤3 years) type 2 diabetes. We have previously reported the association of CRP, obesity, and insulin resistance in the baseline examination of the ADOPT study (7). We discuss here a subgroup analysis of ADOPT, in which we examined prospectively the long-term effects of rosiglitazone, glyburide, and metformin on CRP reduction and the relationship among CRP, insulin sensitivity, weight, and glycemic variables.     

Meat consumption and its association with C-reactive protein and incident type 2 diabetes: the Rotterdam Study

OBJECTIVE

To investigate whether intake of different types of meat is associated with circulating C-reactive protein (CRP) and risk of type 2 diabetes in a prospective cohort study.

RESEARCH DESIGN AND METHODS

Our analysis included 4,366 Dutch participants who did not have diabetes at baseline. During a median follow-up period of 12.4 years, 456 diabetes cases were confirmed. Intake of red meat, processed meat, and poultry was derived from a food frequency questionnaire, and their association with serum high-sensitivity CRP was examined cross-sectionally using linear regression models. Their association with risk of type 2 diabetes was examined using multivariate Cox proportional hazards model, including age, sex, family history of diabetes, and lifestyle and dietary factors.

RESULTS

An increment of 50 g of processed meat was associated with increased CRP concentration (β_{processed meat} = 0.12; P = 0.01), whereas intake of red meat and poultry was not. When comparing the highest to the lowest category of meat intake with respect to diabetes incidence, the adjusted relative risks were as follows: for red meat (1.42 [95% CI 1.06–1.91]), for processed meat (1.87 [1.26–2.78]), and for poultry (0.95 [0.74–1.22]). Additional analysis showed that the associations were not affected appreciably after inclusion of CRP into the model. After adjustment for BMI, however, the association for red meat attenuated to 1.18 (0.88–1.59).

CONCLUSIONS

Intake of processed meat is associated with higher risk of type 2 diabetes. It appears unlikely that CRP mediates this association.Since the prevalence of type 2 diabetes has increased rapidly over the last decades, investigations into the effect of dietary and other lifestyle factors on type 2 diabetes have become important (1). One of the dietary factors of interest is meat. Three meta-analyses of prospective cohort studies showed that intake of processed meat is associated with a higher risk of type 2 diabetes (2–4). For red meat, two of these meta-analyses observed an adverse association (2,4), whereas one did not (3). For poultry, no data from meta-analyses were available. Results from six prospective studies on poultry, however, showed that it is not likely that poultry is associated with a higher risk of type 2 diabetes; three studies observed an inverse association (5–7), whereas three did not observe an association (8–10).Intake of red meat and processed meat may increase risk of type 2 diabetes by mechanisms that increase circulating proinflammatory markers. Positive associations have been observed between red meat or processed meat and the proinflammatory blood marker C-reactive protein (CRP), which in turn has been associated with higher risk of type 2 diabetes (11,12,13). The positive association between intake of meat and CRP might be explained by several biological pathways. The binding capacity of iron in the body could be exceeded by the intake of meat, which contains high amounts of heme iron. Free iron can increase oxidative stress, thereby acting as proinflammatory agent (14). Advanced glycation end products (AGEs), which occur naturally in meat and are formed through heat processing (15), may also have proinflammatory actions (16). Thus, the observed positive associations between intake of red meat and processed meat and CRP, and CRP and risk of type 2 diabetes may indicate that CRP mediates the association between intake of meat, especially red and processed meat, and risk of type 2 diabetes. Therefore, we investigated whether intake of red meat, processed meat, and poultry was associated with CRP and risk of type 2 diabetes in a Dutch population.     

Adverse Outcomes After Noncardiac Surgery in Patients With Diabetes: A nationwide population-based retrospective cohort study

OBJECTIVE

To investigate whether diabetes affects perioperative complications or mortality and to gauge its impact on medical expenditures for noncardiac surgeries.

RESEARCH DESIGN AND METHODS

With the use of reimbursement claims from the Taiwan National Health Insurance system, we performed a population-based cohort study of patients with and without diabetes undergoing noncardiac surgeries. Outcomes of postoperative complications, mortality, hospital stay, and medical expenditures were compared between patients with and without diabetes.

RESULTS

Diabetes increased 30-day postoperative mortality (odds ratio 1.84 [95% CI 1.46–2.32]), particularly among patients with type 1 diabetes or uncontrolled diabetes and patients with preoperative diabetes-related comorbidities, such as eye involvement, peripheral circulatory disorders, ketoacidosis, renal manifestations, and coma. Compared with nondiabetic control patients, coexisting medical conditions, such as renal dialysis (5.17 [3.68–7.28]), liver cirrhosis (3.59 [2.19–5.88]), stroke (2.87 [1.95–4.22]), mental disorders (2.35 [1.71–3.24]), ischemic heart disease (2.08 [1.45–2.99]), chronic obstructive pulmonary disease (1.96 [1.29–2.97]), and hyperlipidemia (1.94 [1.01–3.76]) were associated with mortality for patients with diabetes undergoing noncardiac surgery. Patients with diabetes faced a higher risk of postoperative acute renal failure (3.59 [2.88–4.48]) and acute myocardial infarction (3.65 [2.43–5.49]). Furthermore, diabetes was associated with prolonged hospital stay (2.30 [2.16–2.44]) and increased medical expenditures (1.32 [1.25–1.40]).

CONCLUSIONS

Diabetes increases postoperative 30-day mortality, complications, and medical expenditures in patients undergoing in-hospital noncardiac surgeries.Diabetes is a common chronic disease that causes widespread disability and death, with a global prevalence of 2.8% in 2000 and an estimated prevalence of 4.4% in 2030 (1). In the U.S., the national burden of diabetes was estimated to be $245 billion in 2012 (2). The epidemiology, pathogenesis, prevention, and treatment of diabetes have been well established over the past 2 centuries (3).Diabetes is an independent determinant of increased risk of perioperative complications and mortality in cardiovascular surgeries (4,5), yet how extensively diabetes affects postoperative mortality and complications in noncardiac surgeries has not been determined. Some studies indicated that survival outcomes and perioperative complications in noncardiac surgeries do not differ between patients with and without diabetes (6,7), whereas other research showed conflicting data about whether diabetes increased perioperative complications, mortality, hospital stay, and health care expenditures (8–16).Previous studies were limited by several factors, including a focus on a single type of noncardiac surgery (6,8,10,12,14), small sample size (6,7,9,13), inappropriate selection of nondiabetes control subjects (6–16), inadequate adjustment for potential confounders (7,9–12,15), and reporting of a single outcome after surgery (10,16). It remains unclear whether coexisting medical conditions, types of diabetes, glycemic control, and diabetes-related comorbidities affect postoperative outcomes in patients with diabetes.This study used Taiwan National Health Insurance Program reimbursement claims to investigate postoperative complications, 30-day mortality, length of hospital stay, and medical expenditures after adjustment by propensity score-matched pair method in patients with diabetes undergoing noncardiac surgeries. We also investigated the impact of coexisting medical conditions and diabetes-related comorbidities on postoperative 30-day mortality among patients with diabetes.     

Long-Term Cardiovascular Risk in Type 2 Diabetic Compared With Nondiabetic First Acute Myocardial Infarction Patients: A population-based cohort study in southern Europe

OBJECTIVE

The aim of this study was to determine whether long-term cardiovascular risk differs in type 2 diabetic patients compared with first acute myocardial infarction patients in a Mediterranean region, considering therapy, diabetes duration, and glycemic control.

RESEARCH DESIGN AND METHODS

A prospective population-based cohort study with 10-year follow-up was performed in 4,410 patients aged 30–74 years: 2,260 with type 2 diabetes without coronary heart disease recruited in 53 primary health care centers and 2,150 with first acute myocardial infarction without diabetes recruited in 10 hospitals. We compared coronary heart disease incidence and cardiovascular mortality rates in myocardial infarction patients and diabetic patients, including subgroups by diabetes treatment, duration, and A1C.

RESULTS

The adjusted hazard ratios (HRs) for 10-year coronary heart disease incidence and for cardiovascular mortality were significantly lower in men and women with diabetes than in myocardial infarction patients: HR 0.54 (95% CI 0.45–0.66) and 0.28 (0.21–0.37) and 0.26 (0.19–0.36) and 0.16 (0.10–0.26), respectively. All diabetic patient subgroups had significantly fewer events than myocardial infarction patients: the HR of cardiovascular mortality ranged from 0.15 (0.09–0.26) to 0.36 (0.24–0.54) and that of coronary heart disease incidence ranged from 0.34 (0.26–0.46) to 0.56 (0.43–0.72).

CONCLUSIONS

Lower long-term cardiovascular risk was found in type 2 diabetic and all subgroups analyzed compared with myocardial infarction patients. These results do not support equivalence in coronary disease risk for diabetic and myocardial infarction patients.The prevalence of diabetes is reaching epidemic proportions in developed countries (1). For example, the U.S. has 18 million diabetic patients, Spain has >2 million diabetic patients, and management of the disease costs >$132 and >$3.3 billion per year, respectively (2).Some studies (3–5), several of them with great influence on important guidelines for cardiovascular prevention (3), suggest that the cardiovascular risk of diabetic patients is similar to that of coronary heart disease secondary prevention patients. Other reports, however, do not confirm these observations (6–10).Part of the discrepancy may stem from differences in the duration of diabetes, type of treatment, and baseline glucose control of diabetic patients included in the studies (3–5). These limit comparability, given the fact that time of evolution and treatment required to attain appropriate glycemic control are key determinants of prognosis (10–16).Among population-based cohort studies that compared the prognosis of diabetic patients with that of myocardial infarction patients without diabetes (3–10), only two analyzed the role of diabetes duration (11,12). Even these studies did not include unstable angina among the end points and risk was not stratified by type of treatment. To our knowledge, the effect of type 2 diabetes on coronary heart disease incidence has barely been studied in southern Europe, a region known for low cardiovascular mortality (17). The aim of this study was to determine whether long-term cardiovascular risk differed between type 2 diabetic patients and first acute myocardial infarction patients and to assess the influence of diabetes duration, type of treatment, and glycemic control at baseline.     

Minimal Contribution of Fasting Hyperglycemia to the Incidence of Type 2 Diabetes in Subjects With Normal 2-h Plasma Glucose

OBJECTIVE

To assess the relative contribution of increased fasting and postload plasma glucose concentrations to the incidence of type 2 diabetes in subjects with a normal 2-h plasma glucose concentration.

RESEARCH DESIGN AND METHODS

A total of 3,450 subjects with 2-h plasma glucose concentration <140 mg/dl at baseline were followed up in the San Antonio Heart Study (SAHS) and the Botnia Study for 7–8 years. The incidence of type 2 diabetes at follow-up was related to the fasting, 1-h, and 2-h plasma glucose concentrations.

RESULTS

In subjects with 2-h plasma glucose <140 mg/dl, the incidence of type 2 diabetes increased with increasing fasting plasma glucose (FPG) and 1-h and 2-h plasma glucose concentrations. In a multivariate logistic analysis, after adjustment for all diabetes risk factors, the FPG concentration was a strong predictor of type 2 diabetes in both the SAHS and the Botnia Study (P < 0.0001). However, when the 1-h plasma glucose, but not 2-h plasma glucose, concentration was added to the model, FPG concentration was no longer a significant predictor of type 2 diabetes in both studies (NS). When subjects were matched for the level of 1-h plasma glucose concentration, the incidence of type 2 diabetes markedly increased with the increase in 1-h plasma glucose, but the increase in FPG was not associated with a significant increase in the incidence of type 2 diabetes.

CONCLUSIONS

An increase in postload glycemia in the normal range is associated with an increase in the incidence of type 2 diabetes. After controlling for 1-h plasma glucose concentration, the increase in FPG concentration is not associated with an increase in the incidence of type 2 diabetes.Impaired fasting glucose (IFG) was introduced in 1997 by the American Diabetes Association (ADA) (1), and, analogous with impaired glucose tolerance (IGT), it was meant to represent an intermediate stage in the transition from normal glucose tolerance (NGT) to overt type 2 diabetes. Both IFG and IGT indicate an increased risk for future type 2 diabetes (2–4). Previously (5–7), we have shown that the 1-h plasma glucose concentration has better predictive power than either fasting plasma glucose (FPG) or 2-h plasma glucose, suggesting that the 1-h plasma glucose concentration may have greater utility in identifying subjects at increased risk for type 2 diabetes in routine clinical practice.Previous studies have reported that IFG and IGT represent separate clinical entities, which are characterized by distinct metabolic abnormalities (8–13). Subjects with IGT manifest insulin resistance in skeletal muscle (9–12) and impaired β-cell function (both early and late phases of insulin secretion) (10,14–16), whereas subjects with IFG are characterized by increased hepatic insulin resistance (9,16), impaired early insulin response (12), and decreased non–insulin-dependent glucose clearance (15). Because of the prominent role of progressive β-cell failure in the development of hyperglycemia (17), the impairment in β-cell function in subjects with IGT represents a major pathogenic factor for their increased risk for future type 2 diabetes. Although the increase in fasting plasma glucose is associated with a decrease in first-phase insulin secretion (11–13,18), subjects with IFG have robust second-phase insulin secretion, and, when related to their prevailing level of insulin resistance, they have second-phase insulin secretion comparable with that of subjects with NGT (12,13). Thus, impaired β-cell function cannot fully explain the increased incidence of type 2 diabetes associated with the increase in FPG concentration, e.g., in subjects with isolated IFG.Previously we have shown a strong correlation between insulin resistance in skeletal muscle and liver (16). Thus, a strong correlation between FPG and postload plasma glucose concentrations is anticipated. Therefore, we hypothesized that the increased type 2 diabetes risk associated with the increase in FPG, at least in part, is due to the increased postprandial plasma glucose concentration associated with the increase in FPG and is not due to the increase in FPG per se. The aim of this study was to test this hypothesis.     

Physical Activity, Adiposity, and Diabetes Risk in Middle-Aged and Older Chinese Population: The Guangzhou Biobank Cohort Study

OBJECTIVE

Physical activity may modify the association of adiposity with type 2 diabetes. We investigated the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose, and type 2 diabetes in a Chinese population.

RESEARCH DESIGN AND METHODS

Middle-aged and older Chinese (n = 28,946, ≥50 years, 72.4%women) from the Guangzhou Biobank Cohort Study were examined in 2003–2008. Multivariable regression was used in a cross-sectional analysis.

RESULTS

BMI, waist circumference, and waist-to-hip ratio (WHR) were positively associated with type 2 diabetes after multiple adjustment, most strongly for WHR with odds ratio (OR) of 3.99 (95% CI 3.60–4.42) for highest compared with lowest tertile. Lack of moderate-to-vigorous physical activity, but not walking, was associated with diabetes with an OR of 1.29 (1.17–1.41). The association of moderate-to-vigorous activity with fasting glucose varied with WHR tertiles (P = 0.01 for interaction). Within the high WHR tertile, participants who had a lack of moderate-to-vigorous activity had an OR of 3.87 (3.22–4.65) for diabetes, whereas those who were active had an OR of 2.94 (2.41–3.59).

CONCLUSIONS

In this population, WHR was a better measure of adiposity-related diabetes risk than BMI or waist circumference. Higher moderate-to-vigorous activity was associated with lower diabetes risk, especially in abdominally obese individuals.Type 2 diabetes is a worldwide cause of morbidity and mortality. Adiposity, especially abdominal adiposity, seems to be at the core of development of hyperglycemia and type 2 diabetes (1). Increased physical activity may mitigate some of the diabetogenic impact of adiposity (2–4). Individuals who are obese but fit could even have a lower risk of mortality than those who are normal weight but unfit (5,6). However, being physically active does not completely abolish the obesity-related risk for cardiovascular disease and associated mortality (7). Adiposity is still the main risk factor for the development of type 2 diabetes (2–4,8). Although increased physical activity has been shown to be associated with reduced type 2 diabetes risk independent of adiposity, the protective effects may differ by the level of adiposity. However, the group that could benefit most from physical activity for the prevention of diabetes is still unclear (2–4,8–10).Understanding the relationship between adiposity and physical activity is important to stratify risk groups for the development of effective diabetes prevention strategies from public health and clinical perspectives. Most of the studies relate to Caucasians (2–4,8–10), whereas Asians, including Chinese and Indians, are possibly more vulnerable to insulin resistance (11). The number of Chinese adults with type 2 diabetes was estimated to be ∼28.1 million in 2000 and may double by 2030, with China being second only to India (12). The purpose of this study was to investigate the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose (IFG), and type 2 diabetes in 28,946 middle-aged and older Chinese participants in the Guangzhou Biobank Cohort Study.     

Associations between media consumption habits, physical activity, socioeconomic status, and glycemic control in children, adolescents, and young adults with type 1 diabetes

OBJECTIVE

To evaluate the relationship between media consumption habits, physical activity, socioeconomic status, and glycemic control in youths with type 1 diabetes.

RESEARCH DESIGN AND METHODS

In the cross-sectional study, self-report questionnaires were used to assess media consumption habits, physical activity, and socioeconomic status in 296 children, adolescents, and young adults with type 1 diabetes. Clinical data and HbA_1c levels were collected. Risk factors were analyzed by multiple regression.

RESULTS

Youths with type 1 diabetes (aged 13.7 ± 4.1 years, HbA_1c 8.7 ± 1.6%, diabetes duration 6.1 ± 3.3 years) spent 2.9 ± 1.8 h per day watching television and using computers. Weekly physical activity was 5.1 ± 4.5 h. Multiple regression analysis identified diabetes duration, socioeconomic status, and daily media consumption time as significant risk factors for glycemic control.

CONCLUSIONS

Diabetes duration, socioeconomic status, and daily media consumption time, but not physical activity, were significant risk factors for glycemic control in youths with type 1 diabetes.The pivotal Diabetes Control and Complications Trial (DCCT) and Epidemiology of Diabetes Interventions and Complications (EDIC) study demonstrate that poor glycemic control is associated with an increased risk of developing complications in type 1 diabetes (1). Various factors contributing to glycemic control have been identified (2). Immutable parameters such as age, sex, diabetes duration, and socioeconomic status have a major effect on metabolic control (2–6). Lower socioeconomic status is an important determinant for poor glycemic control (4,5). Modifiable factors influencing metabolic control are diabetes-related knowledge, frequency of blood glucose monitoring, and daily insulin dose (3,4,6,7). Lastly, psychosocial parameters are important in achieving good glycemic control (3–5,8–10). The influence of physical activity on metabolic control is unclear (9,11,12).Recent research addresses the influence of modern life habits on general health. Youths spend more and more time watching television and using computers. Many studies suggest that sedentary behaviors such as watching television lead to obesity in children (13,14). In one study in youths with type 1 diabetes, Margeirsdottir et al. (15) showed that poor metabolic control was associated with extensive television watching. However, the authors did not examine other covariables, such as socioeconomic status, which is associated with both glycemic control and media consumption (4,5,16,17). Hence, the aim of this study was to examine the impact of media consumption habits, physical activity, and socioeconomic status on glycemic control in youths with type 1 diabetes.     

Effect of diabetes on severity and hospital mortality in patients with acute pancreatitis: a national population-based study

OBJECTIVE

Diabetes may increase the risk of acute pancreatitis (AP). We aimed to further investigate whether diabetes may also adversely affect outcomes of patients with AP.

RESEARCH DESIGN AND METHODS

In this retrospective cohort study, we compared 18,990 first-attack AP with diabetes to 37,980 matched control subjects from Taiwan’s National Health Insurance Research Database between 2000 and 2009. Primary outcomes were development of severe AP, defined by a modified Atlanta classification scheme, and hospital mortality. Analyses were performed using univariable and multivariable logistic regression model with generalized estimating equations accounting for hospital clustering effect.

RESULTS

After baseline characteristics were adjusted, AP patients with diabetes had a higher risk of a severe attack than their nondiabetic counterparts (adjusted odds ratio [OR] 1.21, 95% CI 1.16–1.26). When severity criteria were analyzed individually, diabetic AP patients had a 58% higher risk of intensive care unit admission and a 30% higher risk of local complications, but a 16% lower risk of gastrointestinal bleeding, than AP patients without diabetes. The risk of organ failure at least one system) was similar between the two groups. Conversely, AP patients with diabetes were associated with a lower risk of hospital mortality (adjusted OR 0.77, 95% CI 0.65–0.91).

CONCLUSIONS

Although diabetes may adversely affect the disease process of AP, it seems to protect patients from AP-related mortality.Acute pancreatitis (AP) is an acute inflammatory disease of the pancreas. The local inflammation is usually self-limited within a few days, but it can be destructive and cause a severe local complication and/or systemic reaction leading to organ failures and death. Although the case-fatality rate has been decreasing over the decades (1,2), severe cases still carry a high mortality (20–50%) and consume nearly half of the resources and costs incurred by all patients with AP (3). Accordingly, many efforts have been made to identify correlates of severity and predictors for mortality in patients with AP (4–6).In addition to older people (7), patients with certain comorbidities, such as obesity (8), hypertriglyceridemia (9), chronic renal failure (10), and systemic lupus erythematosus (11), are shown to be associated with greater risk of not only the incidence but also the severity and mortality of AP. Among various comorbidities, diabetes mellitus is relatively common in patients with AP; the prevalence was 11% in Japan (12), 17.7% in California (U.S.), (13) and 19.3% in Taiwan (3). These figures are expected to continuously increase in the future because diabetic patients not only are at risk for developing AP (14–16) but also are growing in prevalence worldwide (17). Nonetheless, the effect of diabetes on outcomes of patients with AP has not been adequately studied, and the results of available reports are inconsistent (13,18). For example, Frey and colleagues examined the effect of comorbidities on patients with AP and found that diabetes was not associated with early mortality (13), whereas Graham and coworkers assessed the effect of diabetes on critically ill patients and showed a reduced risk of hospital mortality in a subgroup patients with AP (18). In both studies, however, the effect of diabetes was not specifically examined and detailed analyses were not performed (13,18).In a recent national population-based study on Taiwanese patients with first-attack AP, we found that the prevalence of diabetes increased from 15.6% in 2000 to 2001 to 19.7% in 2008 to 2009 (1). In this study, we used the same cohort (1) to further investigate the effect of diabetes on outcomes of these patients. Because diabetic patients are likely to have a higher comorbid burden and hence a poorer reserve for acute illnesses, we hypothesized that diabetes is associated with a higher risk of severe attacks and hospital mortality in adult patients with first-attack AP.     

Maternal and Neonatal Circulating Markers of Metabolic and Cardiovascular Risk in the Metformin in Gestational Diabetes (MiG) Trial: Responses to maternal metformin versus insulin treatment

OBJECTIVE

This study was designed to compare glucose, lipids, and C-reactive protein (CRP) in women with gestational diabetes mellitus treated with metformin or insulin and in cord plasma of their offspring and to examine how these markers relate to infant size at birth.

RESEARCH DESIGN AND METHODS

Women with gestational diabetes mellitus were randomly assigned to metformin or insulin in the Metformin in Gestational Diabetes trial. Fasting maternal plasma glucose, lipids, and CRP were measured at randomization, 36 weeks’ gestation, and 6–8 weeks postpartum as well as in cord plasma. Women with available cord blood samples (metformin n = 236, insulin n = 242) were included.

RESULTS

Maternal plasma triglycerides increased more from randomization to 36 weeks’ gestation in women treated with metformin (21.93%) versus insulin (9.69%, P < 0.001). Maternal and cord plasma lipids, CRP, and neonatal anthropometry did not differ between treatments. In logistic regression analyses adjusted for confounders, the strongest associations with birth weight >90th centile were maternal triglycerides and measures of glucose control at 36 weeks.

CONCLUSIONS

There were few differences in circulating maternal and neonatal markers of metabolic status and no differences in measures of anthropometry between the offspring of women treated with metformin and the offspring of women treated with insulin. There may be subtle effects of metformin on maternal lipid function, but the findings suggest that treating gestational diabetes mellitus with metformin does not adversely affect lipids or CRP in cord plasma or neonatal anthropometric measures.Gestational diabetes mellitus is carbohydrate intolerance first diagnosed during pregnancy (1) and affects up to 18% of pregnancies. The prevalence varies depending on maternal demographics and diagnostic criteria (2). The prevalence of gestational diabetes mellitus is increasing, which is likely driven by the rising population prevalence of overweight and obesity and increasing maternal age at pregnancy (3). Gestational diabetes mellitus increases maternal and infant morbidity and mortality during pregnancy (4). Women with a history of gestational diabetes mellitus are at risk for metabolic syndrome, type 2 diabetes (5), and cardiovascular disease in later life (6). Children born to women with gestational diabetes mellitus have higher rates of type 2 diabetes and obesity (7).Treating gestational diabetes mellitus improves pregnancy outcomes for both mother and infant (8). Current therapies include modification of diet, increased physical activity, and drug therapy with insulin and oral hypoglycemic agents, including metformin. In addition to improving insulin sensitivity and hyperglycemia, metformin therapy in the setting of type 2 diabetes reduces triglycerides (9), total cholesterol, LDL cholesterol (10), and VLDL cholesterol; increases HDL cholesterol (9); and reduces markers of inflammation and thrombosis (11). Metformin therapy in gestational diabetes mellitus achieves maternal glucose control and pregnancy outcomes similar to insulin therapy (12,13).In contrast to insulin, metformin crosses the placenta (14) and, therefore, could directly influence fetal metabolism. Our recent follow-up studies in 2-year-old offspring of women enrolled in the Metformin in Gestational Diabetes (MiG) trial showed increased subcutaneous fat measurements with no increase in abdominal adiposity or total fat (15). Further assessments are required to determine whether metformin actually reduces visceral/ectopic fat. Therefore, we hypothesized that metformin would be more effective than insulin in improving markers of insulin sensitivity and cardiovascular risk during pregnancy and postpartum in women with gestational diabetes mellitus and in their newborns.     

Inflammation and Cognitive Dysfunction in Type 2 Diabetic Carotid Endarterectomy Patients

OBJECTIVE

Type 2 diabetic patients have a high incidence of cerebrovascular disease, elevated inflammation, and high risk of developing cognitive dysfunction following carotid endarterectomy (CEA). To elucidate the relationship between inflammation and the risk of cognitive dysfunction in type 2 diabetic patients, we aim to determine whether elevated levels of systemic inflammatory markers are associated with cognitive dysfunction 1 day after CEA.

RESEARCH DESIGN AND METHODS

One hundred fifteen type 2 diabetic CEA patients and 156 reference surgical patients were recruited with written informed consent in this single-center cohort study. All patients were evaluated with an extensive battery of neuropsychometric tests. Preoperative monocyte counts, HbA_1c, C-reactive protein (CRP), intercellular adhesion molecule 1, and matrix metalloproteinase 9 activity levels were obtained.

RESULTS

In a multivariate logistic regression model constructed to identify predictors of cognitive dysfunction in type 2 diabetic CEA patients, each unit of monocyte counts (odds ratio [OR] 1.76 [95% CI 1.17–2.93]; P = 0.005) and CRP (OR 1.17 [1.10–1.29]; P < 0.001) was significantly associated with higher odds of developing cognitive dysfunction 1 day after CEA in type 2 diabetic patients.

CONCLUSIONS

Type 2 diabetic patients with elevated levels of preoperative systemic inflammatory markers exhibit more cognitive dysfunction 1 day after CEA. These observations have implications for the preoperative medical management of this high-risk group of surgical patients undergoing carotid revascularization with CEA.The incidence of ischemic stroke is significantly higher in type 2 diabetic patients (1,2), as type 2 diabetes is an independent risk factor for stroke and its recurrence (3,4). Carotid artery stenosis is a major cause of ischemic stroke and can be surgically treated with carotid endarterectomy (CEA). In previous work, we have demonstrated that ∼25% of CEA patients exhibit cognitive dysfunction, a subtle form of neurologic injury, within 1 day of CEA (5,6). Glial markers of neuronal injury (S100B) are elevated in patients who exhibit cognitive dysfunction within 1 day of CEA (7) and reflect opening of the blood–brain barrier (8). Additionally, we have data that demonstrate cognitive dysfunction exhibited within 1 day of CEA is associated with earlier mortality after CEA (9); patients who exhibit cognitive dysfunction within 1 day of CEA experience mortality 4 years earlier than those who do not exhibit cognitive dysfunction within 1 day of CEA. We have also demonstrated that type 2 diabetes is an independent risk factor for cognitive dysfunction (10). In this study, we will investigate factors that might contribute to the increased risk of type 2 diabetic patients undergoing CEA to exhibit the subtle, but significant, cognitive dysfunction.Type 2 diabetes has been associated with accelerated atherosclerosis (11) and elevated systemic inflammation (12–14). Inflammation may play a significant role in accounting for the increased risk of cognitive dysfunction in type 2 diabetic patients. Studies have shown that monocyte activation and infiltration are specifically implicated in the initiation of chronic inflammation and atherosclerosis (12). C-reactive protein (CRP) is a nonspecific marker of systemic inflammation that has been strongly associated with adverse cardiovascular outcomes in both healthy patients and those with coronary artery disease (15–18). Intercellular adhesion molecule-1 (ICAM-1) is a glycoprotein expressed on endothelial cells and cells of the immune system (19). Matrix metalloproteinase-9 (MMP-9) is secreted from macrophages (20), is involved in the breakdown of vasculature extracellular matrices, and has also been investigated for its various roles in inflammation (21–24). Many previous studies have demonstrated that CRP, ICAM-1, monocytes, and MMP-9 activity are all elevated in type 2 diabetic patients compared with nondiabetic patients. In our previous work, we have demonstrated that type 2 diabetes is a risk factor for cognitive dysfunction (10). We have also previously shown that elevated levels of ICAM-1 (25), monocyte counts (26), and MMP-9 activity (27) are associated with higher incidences of cognitive dysfunction in nondiabetic patients following CEA. We have yet to demonstrate a relationship between CRP and cognitive dysfunction. However, given the previous work done on CRP, we are inspired to do so in this study.Considering previous findings that 1) type 2 diabetes is a risk factor for cognitive dysfunction following CEA; 2) elevated ICAM-1, MMP-9, and monocyte counts are associated with more cognitive dysfunction in CEA patients; and 3) type 2 diabetic patients have elevated levels of CRP, ICAM-1, MMP-9 activity, and monocytes, we hypothesize that type 2 diabetic patients with elevated preoperative systemic inflammation are more likely to exhibit cognitive dysfunction following CEA than those with lower preoperative systemic inflammation. To date, there are no studies that investigate this relationship.We will evaluate preoperative systemic inflammation by measuring CRP, ICAM-1, MMP-9 activity, and monocytes and compare these levels between type 2 diabetic patients with and without cognitive dysfunction 1 day after CEA.     

Impact of Metabolic Syndrome Compared With Impaired Fasting Glucose on the Development of Type 2 Diabetes in a General Japanese Population: The Hisayama study

OBJECTIVE

We examined whether metabolic syndrome predicts incident type 2 diabetes more effectively than impaired fasting glucose (IFG) in a general Japanese population.

RESEARCH DESIGN AND METHODS

A total of 1,935 nondiabetic subjects aged 40–79 years were followed-up prospectively for a mean of 11.8 years.

RESULTS

During the follow-up, 286 subjects developed type 2 diabetes. Compared with those without metabolic syndrome, the multivariate-adjusted hazard ratio (HR) for incident type 2 diabetes was significantly higher in subjects of both sexes with metabolic syndrome, even after adjustment for confounding factors, age, family history of diabetes, total cholesterol, alcohol intake, smoking habits, and regular exercise (men: HR 2.58 [95% CI 1.85–3.59]; women: 3.69 [2.58–5.27]). The multivariate-adjusted HR of metabolic syndrome for type 2 diabetes was slightly lower in men and similar in women compared with that of IFG. The multivariate-adjusted HR for type 2 diabetes rose progressively as the number of metabolic syndrome components increased in both subjects with and without IFG. In stratified analysis, the multivariate-adjusted risk of type 2 diabetes was significantly higher in subjects with metabolic syndrome alone (2.37 [1.45–3.88]) or IFG alone (3.49 [2.57–4.74]) and markedly increased in subjects with both metabolic syndrome and IFG (6.76 [4.75–9.61]) than in subjects with neither metabolic syndrome nor IFG. Furthermore, the multivariate-adjusted risk for type 2 diabetes was also significantly higher in subjects with both metabolic syndrome and IFG than in those with either one alone (both P < 0.001).

CONCLUSIONS

Our findings suggest that metabolic syndrome significantly increases the risk of incident type 2 diabetes, independent of IFG, and is therefore a valuable tool to identify individuals at high risk of type 2 diabetes.Metabolic syndrome consists of a clustering of cardiovascular risk factors, such as central obesity, elevated blood pressure, glucose intolerance, and dyslipidemia, and individuals with this condition have an elevated risk of developing cardiovascular diseases (1–5) and type 2 diabetes in different ethnic populations (1–4,6–11). Thus, the concept of metabolic syndrome could be used to reduce the incidence of these diseases worldwide. However, a number of experts in the field of diabetes have questioned whether the idea of metabolic syndrome is useful and valuable (12–14). Because all of the criteria sets for metabolic syndrome have included the component of impaired fasting glucose (IFG), which is a powerful predictor of type 2 diabetes, detractors have questioned whether the more complex definition of metabolic syndrome is better than a simple measurement of fasting plasma glucose (FPG). However, reported findings concerning this issue are controversial: a cohort study has shown that the ability of metabolic syndrome to predict type 2 diabetes was superior to that of IFG alone (3), whereas in other studies, the value of metabolic syndrome was comparable or inferior to that of IFG alone (2,6,7). Furthermore, most of these epidemiological studies were performed in Western populations, and this subject has not been assessed sufficiently in Asian populations.The purpose of the present study was to investigate the association between metabolic syndrome and the development of type 2 diabetes in a prospective study of a defined Japanese population, taking into account comprehensive risk factors. In addition, we compared which of the two measures, metabolic syndrome or IFG, better predicted incident type 2 diabetes.     

Effect of Pharmacological Treatment of Depression on A1C and Quality of Life in Low-Income Hispanics and African Americans With Diabetes: A randomized, double-blind, placebo-controlled trial

OBJECTIVE

To determine whether pharmacological treatment of depression in low-income minorities with diabetes improves A1C and quality of life (QOL).

RESEARCH DESIGN AND METHODS

This was a 6-month, randomized, double-blind, placebo-controlled trial. Patients were screened for depression using Whooley''s two-question tool at a county diabetes clinic. Depression was confirmed (or not) with the Computerized Diagnostic Interview Survey (CDIS) software program, and the severity of depression was assessed monthly by the Hamilton Depression Scale (HAM-D). Depressed subjects with A1C levels ≥8.0% were randomly assigned to receive either sertraline or placebo. Diabetes care was provided by nurses following detailed treatment algorithms who were unaware of therapy for depression.

RESULTS

A total of 150 subjects answered positively to at least one question on Whooley''s questionnaire. The positive predictive value for depression diagnosed by CDIS was 69, 67, and 84% for positive answers to question 1 only, question 2 only, or both, respectively. Of the 89 subjects who entered the study, 75 completed. An intention-to-treat analysis revealed significant differences between baseline and 6 months in HAM-D and pain scores, QOL, and A1C and systolic blood pressure levels in both groups, with no differences between groups for the first three but a significantly greater decrease with sertraline in A1C and systolic blood pressure levels. Changes in HAM-D scores and A1C levels were significantly correlated in all subjects (P = 0.45 [P < 10⁻⁶]).

CONCLUSIONS

In this low-income minority population, pharmacological treatment of depression significantly improved A1C and systolic blood pressure levels compared with placebo.The prevalence of depression among people with diabetes is more than twice that of the general population (1). Coexistence of depression in persons with diabetes is associated with worse glycemic control (2), which may be due to less adherence to self-care behaviors and medications (3). Eventually, there is increased morbidity (4) and mortality (5) and higher medical costs (6).The prevalence of untreated depression in people with diabetes is higher in minorities (1). Yet, screening for and treating depression are less common in this population (7). Very little research has been published on diabetes and depression with a focus on minority populations, who have significant disparities in outcomes (8), such as higher A1C levels (9), increased rates of complications (10), and more severe depression (8).Depression is associated with worse glycemic control (2). Some studies have evaluated whether treatment of depression will improve A1C levels (11–20). However, these drug studies were open label, were of short duration, and/or were conducted in highly educated (more than high school education) Caucasian populations. Most showed that although depression was improved, A1C levels were not. We sought to determine whether use of antidepressants in a minority population with uncontrolled diabetes improved their A1C levels, quality of life (QOL), and depression compared with placebo.     

Glucagon-Like Peptide 1 Reduces Endothelial Dysfunction,Inflammation, and Oxidative Stress Induced by Both Hyperglycemia and Hypoglycemia in Type 1 Diabetes

OBJECTIVE

Hyperglycemia and hypoglycemia currently are considered risk factors for cardiovascular disease in type 1diabetes. Both acute hyperglycemia and hypoglycemia induce endothelial dysfunction and inflammation, raising the oxidative stress. Glucagon-like peptide 1 (GLP-1) has antioxidant properties, and evidence suggests that it protects endothelial function.

RESEARCH DESIGN AND METHODS

The effect of both acute hyperglycemia and acute hypoglycemia in type 1 diabetes, with or without the simultaneous infusion of GLP-1, on oxidative stress (plasma nitrotyrosine and plasma 8-iso prostaglandin F2alpha), inflammation (soluble intercellular adhesion molecule-1 and interleukin-6), and endothelial dysfunction has been evaluated.

RESULTS

Both hyperglycemia and hypoglycemia acutely induced oxidative stress, inflammation, and endothelial dysfunction. GLP-1 significantly counterbalanced these effects.

CONCLUSIONS

These results suggest a protective effect of GLP-1 during both hypoglycemia and hyperglycemia in type 1 diabetes.Recent evidence suggests that hypoglycemia also may play an important role in favoring diabetic vascular complications (1). Hypoglycemia causes oxidative stress (2), inflammation (3,4), and endothelial dysfunction (5). Oxidative stress is considered the key player in the pathogenesis of diabetes complications (6). It is of interest that during hyperglycemia, oxidative stress is mainly produced at the mitochondrial level (6), similar to what happens in hypoglycemia (2). Therefore, oxidative stress might be considered the common factor linking hyperglycemia, hypoglycemia, and vascular complications of diabetes. Consistent with this hypothesis is the evidence that both hyperglycemia (7) and hypoglycemia produce endothelial dysfunction and inflammation through oxidative stress generation (5,8). Both endothelial dysfunction and inflammation are well-recognized pathogenic factors for vascular disease, particularly in diabetes (9).Glucagon-like peptide 1 (GLP-1) and its analogs are now being used in clinics to enhance insulin secretion and to reduce body weight in patients with type 2 diabetes (10) in whom a defect of GLP-1 secretion or action in response to the meal often has been reported (11). GLP-1 has been shown to lower postprandial and fasting glucose and HbA_1c, to suppress the elevated glucagon level, and to stimulate glucose-dependent insulin synthesis and secretion (10). Recently, a possible beneficial effect of GLP-1 analogs in the management of type 1 diabetes has been suggested (12). GLP-1, in addition to its insulin-tropic action in alleviating hyperglycemia, has beneficial effects in protecting progressive impairment of pancreatic β-cell function, preservation of β-cell mass, and suppression of glucagon secretion, gastric emptying, and appetite, which are all characteristics that could be beneficial for the management of type 1 diabetes (12).Apart from the well-documented incretin effect of GLP-1, its role in the cardiovascular system also arouses interest. GLP-1 effects on the cardiovascular system may include a direct action on the endothelium in which the presence of specific receptors for GLP-1 has been demonstrated (13). Consistently, GLP-1 has been demonstrated to improve endothelial function in diabetes (14,15). This protective effect should be exerted to improve the antioxidant defenses of the endothelium (16) and to decrease oxidative stress generation (15).The aim of this study is to test whether GLP-1 can protect endothelial function and reduce the generation of oxidative stress and inflammation during acute hyperglycemia and hypoglycemia in type 1 diabetes.     

Depressive Symptoms and Risk of Type 2 Diabetes in a National Sample of Middle-Aged and Older Adults: The English Longitudinal Study of Aging

OBJECTIVE

To examine the association between baseline elevated depressive symptoms and incident type 2 diabetes in a national sample of people aged ≥50 years.

RESEARCH DESIGN AND METHODS

The sample consisted of 6,111 individuals free from self-reported doctor-diagnosed diabetes at baseline in 2002–2003. The eight-item Center for Epidemiological Studies–Depression (CES-D) scale was the measurement of depressive symptoms. Cox proportional hazards regression models were used to assess whether baseline elevated (≥4) depressive symptoms were associated with a higher risk of type 2 diabetes over 45.8 months of follow-up.

RESULTS

The hazard ratio (HR) for diabetes was 1.62 (95% CI 1.15–2.29) in a model adjusted for age, sex, marital status, education, total net household wealth, cardiovascular and psychiatric and other noncardiovascular comorbidities, BMI, and health behaviors for participants with elevated CES-D symptoms compared with those without. Complementary analysis performed for a subsample (n = 5,090) showed that additional adjustment of this model for use of antidepressants did not explain the association (HR 1.58, 95% CI 1.09–2.29).

CONCLUSIONS

Elevated depressive symptoms were associated with a higher risk of developing type 2 diabetes after accounting for sociodemographic, lifestyle, and clinical factors in a national sample of people aged ≥50 years.Depression is a known comorbid condition of diabetes. Individuals with diabetes have increased odds of being depressed and consistently higher prevalence rates of depression than their counterparts without diabetes (1). An accumulating body of research shows that type 2 diabetes is a risk factor for recurrent depression (2), but longitudinal studies also suggest that depression and elevated depressive symptoms are related to subsequent incidence of diabetes (3–10). Two recent meta-analyses of longitudinal studies suggest that depression is associated with a 40–60% increased risk of developing type 2 diabetes (11,12). The etiology and pathogenic mechanism of this association is poorly understood. It has been suggested that unhealthy behaviors (i.e., physical inactivity and smoking), obesity, and use of psychotropic medication may be parts of the causal pathway linking depression to type 2 diabetes (3,11,13).The majority of previous longitudinal studies on the association between depressive symptoms and incident diabetes have not accounted adequately for socioeconomic status (SES), and therefore their results might be biased because of residual confounding. They have also generally failed to account for baseline comorbidities such as cardiovascular, noncardiovascular, and psychiatric diseases, which might explain the association between depression and diabetes. Moreover, more research is needed on the use of antidepressants and other psychotropic medication as a depression-related risk factor for diabetes in older samples, since evidence on this issue is conflicting (6,8,9,14).We used data from the English Longitudinal Study of Aging (ELSA), a national prospective cohort study of community-dwelling middle-aged and older men and women, to examine whether baseline elevated depressive symptoms measured by the Center for Epidemiological Studies–Depression (CES-D) scale were associated with a higher risk of developing type 2 diabetes. We adjusted for a wide range of potential confounders including education and wealth as markers of SES and baseline comorbidities including psychiatric diseases. We then explored whether health behaviors, BMI, and use of antidepressants or other psychotropic medication mediated the association between elevated baseline depressive symptoms and incident type 2 diabetes.     

��-Cell�CMediated Signaling Predominates Over Direct ��-Cell Signaling in the Regulation of Glucagon Secretion in Humans

OBJECTIVE

Given evidence of both indirect and direct signaling, we tested the hypothesis that increased β-cell–mediated signaling of α-cells negates direct α-cell signaling in the regulation of glucagon secretion in humans.

RESEARCH DESIGN AND METHODS

We measured plasma glucagon concentrations before and after ingestion of a formula mixed meal and, on a separate occasion, ingestion of the sulfonylurea glimepiride in 24 basal insulin-infused, demonstrably β-cell–deficient patients with type 1 diabetes and 20 nondiabetic, demonstrably β-cell–sufficient individuals; the latter were infused with glucose to prevent hypoglycemia after glimepiride.

RESULTS

After the mixed meal, plasma glucagon concentrations increased from 22 ± 1 pmol/l (78 ± 4 pg/ml) to 30 ± 2 pmol/l (103 ± 7 pg/ml) in the patients with type 1 diabetes but were unchanged from 27 ± 1 pmol/l (93 ± 3 pg/ml) to 26 ± 1 pmol/l (89 ± 3 pg/ml) in the nondiabetic individuals (P < 0.0001). After glimepiride, plasma glucagon concentrations increased from 24 ± 1 pmol/l (83 ± 4 pg/ml) to 26 ± 1 pmol/l (91 ± 4 pg/ml) in the patients with type 1 diabetes and decreased from 28 ± 1 pmol/l (97 ± 5 pg/ml) to 24 ± 1 pmol/l (82 ± 4 pg/ml) in the nondiabetic individuals (P < 0.0001). Thus, in the presence of both β-cell and α-cell secretory stimuli (increased amino acid and glucose levels, a sulfonylurea) glucagon secretion was prevented when β-cell secretion was sufficient but not when β-cell secretion was deficient.

CONCLUSIONS

These data indicate that, among the array of signals, indirect reciprocal β-cell–mediated signaling predominates over direct α-cell signaling in the regulation of glucagon secretion in humans.The regulation of pancreatic islet α-cell glucagon secretion is complex (1–10). It involves direct signaling of α-cells (1) and indirect signaling of α-cells by β-cell (2–6) and δ-cell (7) secretory products, the autonomic nervous system (8,9), and gut incretins (10).Appropriate glucagon secretory responses occur from the perfused pancreas (3,5) and perifused islets (2). Low plasma glucose concentrations stimulate glucagon secretion from the transplanted (i.e., denervated) human pancreas (11) and the denervated dog pancreas (12). Therefore, we have focused on the intraislet regulation of glucagon secretion. Furthermore, because selective destruction of β-cells results in loss of the glucagon response to hypoglycemia in type 1 diabetes (13), and partial reduction of the β-cell mass in minipigs results in impaired postprandial suppression of glucagon secretion (14), we have focused on the role of β-cell–mediated signaling in the regulation of glucagon secretion.Findings from studies of the perfused rat (3,4) and human (5) pancreas, rats in vivo (6), rat islets (2), isolated rat α-cells (2), and humans (15–18) have been interpreted to indicate that a β-cell secretory product or products tonically restrains basal α-cell glucagon secretion during euglycemia and that a decrease in β-cell secretion, coupled with low glucose concentrations at the α-cells, signals an increase in glucagon secretion in response to hypoglycemia. Parenthetically, the relative roles of the candidate β-cell secretory products (insulin, zinc, γ-aminobutyric acid, and amylin, among others) (2) that normally restrain α-cell glucagon secretion remain to be determined. However, that interpretation rests, in part, on results of studies in isolated rat α-cells (2), which are debated (1), and on the evidence that the islet microcirculation flows from β-cells to α-cells to δ-cells (4), which is also debated (19). Furthermore, it does not address the plausible possibility that a decrease in intraislet δ-cell somatostatin secretion might also signal an increase in α-cell glucagon secretion during hypoglycemia (7).Given that interpretation, it follows that an increase in β-cell secretion would signal a decrease in glucagon secretion in the postprandial state (14). The concept is an interplay of indirect reciprocal β-cell–mediated signaling of α-cells and of direct α-cell signaling in the regulation of glucagon secretion.There is, in our view, compelling evidence that, among other mechanisms, both indirect reciprocal β-cell–mediated signaling of α-cells (2–6) and direct α-cell signaling (1) are involved in the regulation of glucagon secretion by nutrients, hormones, neurotransmitters, and drugs. Given that premise, we posed the question: Which of these predominates in humans? Accordingly, we tested the hypothesis that increased β-cell–mediated signaling of α-cells negates direct α-cell signaling in the regulation of glucagon secretion in humans. To do so, we measured plasma glucagon responses to ingestion of a mixed meal and, on a separate occasion, to ingestion of the sulfonylurea glimepiride in patients with type 1 diabetes and in nondiabetic individuals. We conceptualized patients with type 1 diabetes as a model of α-cells isolated from β-cells because their β-cells had been destroyed but they have functioning α-cells. (Their α-cells are not, of course, isolated from other islet cells, including δ-cells.) Increased plasma amino acid and glucose levels after a mixed meal and sulfonylureas normally stimulate β-cell secretion; increased plasma amino acid and perhaps glucose (2) levels after a mixed meal and sulfonylureas (1) stimulate α-cell secretion. Our hypothesis predicts that such factors that normally stimulate both β-cells and α-cells would stimulate glucagon secretion in patients with type 1 diabetes but not in nondiabetic individuals, i.e., in the virtual absence and the presence of β-cell function, respectively. Indeed, a mixed meal (20,21) and the secretagogues tolbutamide (22), glyburide (23), and repaglinide (23) have been reported to raise plasma glucagon concentrations in patients with type 1 diabetes, but all of those studies lacked nondiabetic control subjects.     

Active Care Management Supported by Home Telemonitoring in Veterans With Type 2 Diabetes: The DiaTel randomized controlled trial

OBJECTIVE

We compared the short-term efficacy of home telemonitoring coupled with active medication management by a nurse practitioner with a monthly care coordination telephone call on glycemic control in veterans with type 2 diabetes and entry A1C ≥7.5%.

RESEARCH DESIGN AND METHODS

Veterans who received primary care at the VA Pittsburgh Healthcare System from June 2004 to December 2005, who were taking oral hypoglycemic agents and/or insulin for ≥1 year, and who had A1C ≥7.5% at enrollment were randomly assigned to either active care management with home telemonitoring (ACM+HT group, n = 73) or a monthly care coordination telephone call (CC group, n = 77). Both groups received monthly calls for diabetes education and self-management review. ACM+HT group participants transmitted blood glucose, blood pressure, and weight to a nurse practitioner using the Viterion 100 TeleHealth Monitor; the nurse practitioner adjusted medications for glucose, blood pressure, and lipid control based on established American Diabetes Association targets. Measures were obtained at baseline, 3-month, and 6-month visits.

RESULTS

Baseline characteristics were similar in both groups, with mean A1C of 9.4% (CC group) and 9.6% (ACM+HT group). Compared with the CC group, the ACM+HT group demonstrated significantly larger decreases in A1C at 3 months (1.7 vs. 0.7%) and 6 months (1.7 vs. 0.8%; P < 0.001 for each), with most improvement occurring by 3 months.

CONCLUSIONS

Compared with the CC group, the ACM+HT group demonstrated significantly greater reductions in A1C by 3 and 6 months. However, both interventions improved glycemic control in primary care patients with previously inadequate control.Within the Veterans Health Administration, ∼500,000 veterans receive care for diabetes annually; diabetes is a leading cause of morbidity and mortality and a major contributor to health care cost (1,2). Sampling data from 2009 indicate that ∼28% of veterans nationally have suboptimal glycemic control with A1C ≥8% (3). Increases in A1C levels above the normal range in patients with diabetes are associated with progressive increases in morbidity and mortality due to micro- and macrovascular disease (4). Intensive glycemic control can reduce microvascular complications in both type 1 and type 2 diabetes (5,6). However, recent studies have not demonstrated that intensive glycemic control for 3–6 years with achieved A1C targets from 6.4 to 6.9% reduces macrovascular complications in patients with long-standing type 2 diabetes (7–9). In contrast, intensive glycemic control initiated early in the course of either type 1 or type 2 diabetes appears to reduce the risk of subsequent macrovascular complications significantly even when glycemic control later deteriorates (10,11).Home-based telemedicine has been examined as a tool for management of chronic diseases (12), including diabetes (13–19). This approach can obviate geographic barriers; provide automated education, feedback, and data transmission; and facilitate provider-to-patient communication (12). However, outcomes with home telemonitoring in diabetes and other chronic diseases have been variable (12). Of several randomized controlled trials (RCTs) using home telemonitoring in diabetes care (13–19), only two have reported significant improvement in A1C (17,18). Neither of these trials included active medication management by a provider in response to real-time transmission of self-monitored blood glucose (SMBG) data or have specifically targeted patients not meeting glycemic control goals in response to pharmacological therapy under conditions of usual care.The present study compared the efficacy of home telemonitoring coupled with active medication management by a nurse practitioner (ACM+HT intervention) with a lower-intensity care coordination intervention (CC intervention) consisting of monthly telephone contact with a diabetes nurse educator. Our study specifically targeted veterans with A1C levels ≥8% after ≥1 year receiving pharmacological therapy under conditions of usual care.     

Pediatric Endocrinologists' Management of Children With Type 2 Diabetes

OBJECTIVE

To understand physician behaviors and attitudes in managing children with type 2 diabetes.

RESEARCH DESIGN AND METHODS

A survey was mailed to a nationwide sample of pediatric endocrinologists (PEs).

RESULTS

A total of 40% of PEs surveyed responded (211 of 527). Concordance with current monitoring guidelines varied widely, ranging from 36% (foot care) to 93% (blood pressure monitoring). Given clinical vignettes addressing hyperlipidemia, hypertension, and microalbuminuria, only 34% of PEs were fully concordant with current treatment guidelines. Reported barriers included concerns about patient adherence, insufficient scientific evidence about treatment, and lack of familiarity with current recommendations. Providers aged ≤45 years or in clinical practice <10 years reported significantly more aggressive management behaviors and had higher concordance with guidelines.

CONCLUSIONS

Screening and management of pediatric type 2 diabetes varied widely among PEs, suggesting opportunities for quality improvement. More aggressive management of type 2 diabetes among younger providers may be related to recent training when type 2 diabetes was more common.The incidence of type 2 diabetes in children is increasing (1), and children with type 2 diabetes are at high risk to develop diabetes-related complications, including hyperlipidemia, hypertension, and microalbuminuria (2–4). Despite limited scientific evidence, several consensus statements on the assessment and management of pediatric type 2 diabetes have been developed (4–6). Current understanding of physician management of pediatric type 2 diabetes is limited (7–10). We conducted a survey to better understand pediatric endocrinologists'' (PEs'') behaviors and attitudes related to the management of pediatric type 2 diabetes.     

Extended Family History of Type 1 Diabetes and Phenotype and Genotype of Newly Diagnosed Children

OBJECTIVE

To determine the frequency of newly diagnosed diabetic children with first- and second-degree relatives affected by type 1 diabetes and to characterize the effects of this positive family history on clinical markers, signs of β-cell autoimmunity, and HLA genotype in the index case.

RESEARCH DESIGN AND METHODS

Children (n = 1,488) with type 1 diabetes diagnosed under 15 years of age were included in a cross-sectional study from the Finnish Pediatric Diabetes Register. Data on family history of diabetes and metabolic decompensation at diagnosis were collected using a questionnaire. Antibodies to β-cell autoantigens (islet cell antibodies, insulin autoantibodies, GAD antibodies, and antibodies to the islet antigen 2 molecule) and HLA genotypes were analyzed.

RESULTS

A total of 12.2% of the subjects had a first-degree relative with type 1 diabetes (father 6.2%, mother 3.2%, and sibling 4.8%) and 11.9% had an affected second-degree relative. Children without affected relatives had lower pH (P < 0.001), higher plasma glucose (P < 0.001) and β-hydroxybutyrate concentrations (P < 0.001), a higher rate of impaired consciousness (P = 0.02), and greater weight loss (P < 0.001). There were no differences in signs of β-cell autoimmunity. The familial cases carried the HLA DR4-DQ8 haplotype more frequently than sporadic cases (74.0 vs. 67.0%, P = 0.02).

CONCLUSIONS

When the extended family history of type 1 diabetes is considered, the proportion of sporadic diabetes cases may be reduced to <80%. A positive family history for type 1 diabetes associates with a less severe metabolic decompensation at diagnosis, even when only second-degree relatives are affected. Autoantibody profiles are similar in familial and sporadic type 1 diabetes, suggesting similar pathogenetic mechanisms.Familial clustering of type 1 diabetes is a conspicuous feature; the risk of developing type 1 diabetes is 8–15-fold higher in first-degree relatives (1–6) and twofold in second-degree relatives (1,7). Despite this, the vast majority of children are diagnosed with the sporadic form of diabetes. The proportion of children with an affected first-degree relative at the time of diagnosis is ∼10–12% (7–13), and after decades of follow-up, this frequency increases to >20% (8,14,15). Fathers transmit the disease to their offspring more often than mothers (3,16). Accordingly, at diagnosis, 4–7% of children have a father with type 1 diabetes whereas only 1.5–3% have an affected mother (7–12,17). Fewer reports exist on type 1 diabetes in the extended family. Depending on the definition of second-degree relatives and length of time from the diagnosis of the index case, 5–16% of children with type 1 diabetes have an affected second-degree relative (1,5,11,17–19).Familial and sporadic type 1 diabetes have been suggested to differ in terms of pathogenetic mechanisms (20,21). The risk-associated HLA genotypes have been observed more often in familial type 1 diabetes (8,20,22,23), although not all studies have found significant differences (24). Two studies have noticed no differences in diabetes-associated autoantibodies, e.g., insulin autoantibodies (IAAs) (8), GAD antibodies (GADAs) (8), or islet cell antibodies (ICAs) (8,20). A recent study from Israel reported, however, higher frequencies of IAAs and a higher number of positive antibody responses among familial cases (13). In families with prior experience of type 1 diabetes in a first-degree relative, the clinical status of the child at diagnosis is less severe (8,13,21).Data on the possible pathogenetic differences between familial and sporadic type 1 diabetes are still inconsistent and based on a positive family history in first-degree relatives only. To further our understanding of familial clustering of type 1 diabetes, we used data from the large, nationwide Finnish Pediatric Diabetes Register for a cross-sectional observational study. Since the knowledge of the effects of an extended family history on the diabetes of the index case is lacking, we included information on second-degree relatives (grandparents and siblings of parents). β-Cell autoimmunity, metabolic decompensation at diagnosis, and HLA genetics were compared in children with familial or sporadic type 1 diabetes. We postulated to see a stronger genetic susceptibility to type 1 diabetes and a milder metabolic decompensation in children with a positive family history for type 1 diabetes, whereas no differences were expected in the autoantibody profile.     

Sex and Racial/Ethnic Differences in Cardiovascular Disease Risk Factor Treatment and Control Among Individuals With Diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA)

OBJECTIVE

To examine sex and racial/ethnic differences in cardiovascular risk factor treatment and control among individuals with diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA).

RESEARCH DESIGN AND METHODS

This study was an observational study examining mean levels of cardiovascular risk factors and proportion of subjects achieving treatment goals.

RESULTS

The sample included 926 individuals with diabetes. Compared with men, women were 9% less likely to achieve LDL cholesterol <130 mg/dl (adjusted prevalence ratio 0.91 [0.83–0.99]) and systolic blood pressure (SBP) <130 mmHg (adjusted prevalence ratio 0.91 [0.85–0.98]). These differences diminished over time. A lower percentage of women used aspirin (23 vs. 33%; P < 0.001). African American and Hispanic women had higher mean levels of SBP and lower prevalence of aspirin use than non-Hispanic white women.

CONCLUSIONS

Women with diabetes had unfavorable cardiovascular risk factor profiles compared with men. African American and Hispanic women had less favorable profiles than non-Hispanic white women.Population-based health survey data suggest that sex and racial/ethnic disparities are present in diabetes process of care measures and cardiovascular risk factor control (1–9). Available data also indicate that sex-specific race/ethnicity differences are present in cardiovascular risk factor control, but these data are limited to Medicare and Veterans'' Hospital patient populations (5,10–13). We therefore performed analyses of participants with diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA) to examine sex and sex-specific racial/ethnic differences in cardiovascular risk factor treatment and control.     

Comparison of near-patient capillary glucose measurement and a risk assessment questionnaire in screening for type 2 diabetes in a high-risk population in rural India

OBJECTIVE

To assess the utility of a point-of-care (POC) capillary blood glucose measurement as compared with routine clinical parameters in predicting undiagnosed diabetes in a low-resource rural India setting.

RESEARCH DESIGN AND METHODS

Nine hundred and ninety-four participants aged >30 years and stratified by age and sex were randomly selected from 20 villages in India. A clinical questionnaire, sampling for laboratory venous fasting plasma glucose (FPG), and POC capillary blood glucose assay were performed simultaneously. Diabetes diagnosis was based on the World Health Organization (WHO) definition using FPG. The capacity of the POC glucose to predict the presence of diabetes was assessed and compared with the questionnaire using area under the receiver operating characteristic curves (AUCs).

RESULTS

The AUC for POC glucose alone in predicting diabetes was 0.869 (95% CI 0.810–0.929). This was significantly better (P < 0.001 for AUC comparison) than the models based upon clinical variables alone (AUC for the best clinical model including age, BMI, hypertension, waist circumference: 0.694 [95% CI 0.621–0.766]). POC glucose appropriately reclassified the risk of up to one-third of participants ranked according to the clinical models. Adding the clinical variables to the POC glucose assay did not significantly improve the discriminatory capability beyond that achieved with the POC glucose measurement alone (all P > 0.37).

CONCLUSIONS

POC glucose testing appears to be a simple and reliable tool for identifying undiagnosed diabetes in a high-risk, resource-poor rural population. However, studies evaluating the cost effectiveness of introducing POC glucose testing are needed prior to widespread implementation.The prevalence of type 2 diabetes is rapidly increasing around the world (1). Developing countries are facing the largest increases both in absolute and relative terms (1). It is predicted that this will have devastating consequences on the economies and health systems of these countries. Successful prevention and early management of diabetes is therefore a major health priority (1,2).In many regions, up to 50% of people with diabetes remain undiagnosed (1,3,4). Failure to improve these levels of detection will mean that the opportunity to improve health outcomes with early intervention will be lost. Early treatment with successful glucose control significantly reduces the morbidity and mortality associated with diabetes (5,6). Earlier detection of diabetes also allows for the implementation of other treatments that reduce the vascular complications of diabetes (5,6).Universal screening for diabetes is not currently recommended due to a lack of good evidence for an accurate test. However, targeted screening is advocated in certain ethnic groups deemed at increased risk of diabetes (2). For some ethnic groups, implementation of targeted screening may require the entire population to be screened. This applies for instance to Asian Indian populations, which are at greater risk of developing diabetes (7) and have a high prevalence of diabetes both in urban (4) and rural settings (3). However to successfully apply screening to such populations requires accurate, safe, and low-cost diagnostic strategies that are easy to implement (8).In resource-poor settings, clinical variables–based risk assessment questionnaires or point-of-care (POC) glucose analysis may be reasonable screening tools (9). Both require little expertise and allow an individual''s risk of having undiagnosed diabetes to be immediately determined so that only those at high risk require a confirmatory diagnostic test. However, the value of risk assessment questionnaires (9–13) and POC glucose analysis (14–16) in resource-poor settings remains unclear. Additionally the performance of these different screening methods has not been compared in rural Asian Indian populations.The aim of this study was to quantify and compare the accuracy of strategies based on POC glucose, clinical variables, and the combination of both in predicting undiagnosed diabetes in an asymptomatic, resource-poor rural Asian Indian population.