Rates of Progression in Diabetic Retinopathy During Different Time Periods: A systematic review and meta-analysis

OBJECTIVE

This meta-analysis reviews rates of progression of diabetic retinopathy to proliferative diabetic retinopathy (PDR) and/or severe visual loss (SVL) and temporal trends.

RESEARCH DESIGN AND METHODS

This systematic literature review and meta-analysis of prospective studies assesses progression of retinopathy among diabetic patients without treatment for retinopathy at baseline. Studies published between 1975 to February 2008 were identified. Outcomes of interest were rates of progression to PDR and/or SVL. Pooled baseline characteristics and outcome measures were summarized using weighted averages of counts and means. Baseline characteristics and outcomes were compared between two periods: 1975–1985 and 1986–2008.

RESULTS

A total of 28 studies comprising 27,120 diabetic patients (mean age 49.8 years) were included. After 4 years, pooled incidence rates for PDR and SVL were 11.0 and 7.2%, respectively. Rates were lower among participants in 1986–2008 than in 1975–1985. After 10 years, similar patterns were observed. Participants in 1986–2008 studies had lower proportions of PDR and non-PDR at all time points than participants in 1975–1985 studies.

CONCLUSIONS

Since 1985, diabetic patients have lower rates of progression to PDR and SVL. These findings may reflect an increased awareness of retinopathy risk factors; earlier identification and initiation of care for patients with retinopathy; and improved medical management of glucose, blood pressure, and serum lipids. Differences in baseline characteristics, particularly in the prevalence and severity of retinopathy, could also have contributed to these temporal differences.Diabetes affects more than 170 million individuals worldwide (1,2), and diabetic retinopathy is the most frequent cause of visual impairment among working-age individuals (3,4). In the last 3 decades, a relative decline in rates of diabetic retinopathy has been suggested by some studies, (5–8) possibly reflecting improved patient and physician awareness, screening, and prevention, as well as better management of diabetes (9). In 1985, the Early Treatment Diabetic Retinopathy Study (ETDRS) demonstrated the effectiveness of laser photocoagulation (10,11). Systemic control of both hyperglycemia and hypertension was shown to be important in the Diabetes Control and Complications Trial (DCCT) and the UK Prospective Diabetes Study (UKPDS) in the 1990s (12,13). Findings from these trials, other studies, and clinical practice guidelines may have led to increased public awareness to diabetes risk factors and a shorter time from onset to diagnosis, potentially altering the rates of diabetic retinopathy progression (9,14).Understanding the natural history of diabetic retinopathy is also important for estimating sample size for testing new interventions in clinical trials. Already, inadequate sample size estimations may have resulted in underpowered trials (15). Traditionally, progression rates from the ETDRS and the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) were used for sample size calculations (16–22). However, these studies were conducted almost 30 years ago. Contemporary estimates for diabetic retinopathy progression are clearly needed, some of which may, in part, be provided by more recent studies, such as the Daily-Dose Consensus Interferon and Ribavirin: Efficacy of Combined Therapy (DIRECT) trial (23,24).In this systematic review and meta-analysis, we summarized the best available evidence to provide contemporary data on the clinical course of diabetic retinopathy and to examine potential differences in rates of diabetic retinopathy progression over time.     

Retinal Vascular Fractal Dimension and Risk of Early Diabetic Retinopathy: A prospective study of children and adolescents with type 1 diabetes

OBJECTIVE

To examine the prospective association of retinal vascular fractal dimension with diabetic retinopathy risk in young people with type 1 diabetes.

RESEARCH DESIGN AND METHODS

This was a hospital-based prospective study of 590 patients aged 12–20 years with type 1 diabetes free of retinopathy at baseline. All patients had seven-field retinal photographs taken of both eyes. Incident retinopathy was ascertained from retinal photographs taken at follow-up visits. Fractal dimension was measured from baseline photographs using a computer-based program following a standardized protocol.

RESULTS

Over a mean ± SD follow-up period of 2.9 ± 2.0 years, 262 participants developed mild nonproliferative diabetic retinopathy (15.0 per 100 person-years). After adjusting for age, sex, diabetes duration, A1C, and other risk factors, we found no association between retinal vascular fractal dimension and incident retinopathy.

CONCLUSIONS

Retinal vascular fractal dimension was not associated with incident early diabetic retinopathy in this sample of children and adolescents with type 1 diabetes.Fractal objects are self-similar structures that retain a similar level of complexity across all scales. For example, blood vessels repeatedly subdivide downstream into smaller blood vessels with similar network patterns. Fractal dimension (D_f) quantifies the degree of complexity into a single value and is particularly useful for quantifying non-Euclidean geometric shapes such as vascular networks. The retinal circulation is a fractal object (1–3), and fractal analysis has been used to study the embryological development of the retinal vasculature (2) and vascular changes associated with diabetic retinopathy (3–7). Variations in retinal vascular D_f may reflect geometric alterations in the vascular network in response to hypoxia (2,7).Earlier case-control studies showed that retinal vascular D_f was associated with proliferative diabetic retinopathy (5,6), suggesting that neovascularization increases the complexity of the retinal vascular branching pattern. More recently, using a computer-based program to reliably measure D_f of the retinal vasculature (8), we reported that retinal vascular D_f was cross-sectionally associated with the prevalence of early retinopathy in patients with type 1 diabetes (9). However, prospective data are needed to elucidate the significance of this interesting finding. We therefore aimed to determine whether retinal vascular D_f measured from baseline photographs of eyes without retinopathy is associated with subsequent risk of retinopathy development in a cohort of type 1 diabetic subjects.     

Can the Retinal Screening Interval Be Safely Increased to 2 Years for Type 2 Diabetic Patients Without Retinopathy?

OBJECTIVE

In the U.K., people with diabetes are typically screened for retinopathy annually. However, diabetic retinopathy sometimes has a slow progression rate. We developed a simulation model to predict the likely impact of screening patients with type 2 diabetes, who have not been diagnosed with diabetic retinopathy, every 2 years rather than annually. We aimed to assess whether or not such a policy would increase the proportion of patients who developed retinopathy-mediated vision loss compared with the current policy, along with the potential cost savings that could be achieved.

RESEARCH DESIGN AND METHODS

We developed a model that simulates the progression of retinopathy in type 2 diabetic patients, and the screening of these patients, to predict rates of retinopathy-mediated vision loss. We populated the model with data obtained from a National Health Service Foundation Trust. We generated comparative 15-year forecasts to assess the differences between the current and proposed screening policies.

RESULTS

The simulation model predicts that implementing a 2-year screening interval for type 2 diabetic patients without evidence of diabetic retinopathy does not increase their risk of vision loss. Furthermore, we predict that this policy could reduce screening costs by ∼25%.

CONCLUSIONS

Screening people with type 2 diabetes, who have not yet developed retinopathy, every 2 years, rather than annually, is a safe and cost-effective strategy. Our findings support those of other studies, and we therefore recommend a review of the current National Institute for Health and Clinical Excellence (NICE) guidelines for diabetic retinopathy screening implemented in the U.K.Diabetic retinopathy is a serious complication for people with diabetes that can lead to blindness or severe vision loss (1). Although retinopathy cannot be cured, its progression can be slowed or halted, and laser treatment can prevent visual loss if offered promptly at the proliferative stage (2). Diabetic digital retinal photography is an effective method of detecting the onset of treatable retinopathy (3). National Institute for Health and Clinical Excellence (NICE) guidelines in the U.K. currently recommend that people with diabetes are screened for retinopathy annually, or every 3–6 months for those patients who have developed beyond mild background retinopathy or who are at higher risk of progression (4). This also forms part of the National Screening Committee’s policy of a national screening program for diabetes in the U.K. (5).The development of retinopathy may take decades (6), and the annual screening of all diabetic patients may therefore incur considerable cumulative health service cost and patient inconvenience that, for some, may be unjustified (7). With a significant increase in diabetes incidence forecast in the U.K. (8), it is imperative that screening policies for diabetes complications are cost-effective and practicable. It is therefore prudent to ask whether it would be cost-effective and safe to screen diabetic patients for retinopathy less frequently (7), particularly in light of more recent evidence that suggests an overall decline in the rates at which people with diabetes are developing vision-threatening retinopathy (9,10).We undertook a collaborative project with the Royal Devon and Exeter National Health Service (NHS) Foundation Trust (henceforth referred to simply as Royal Devon and Exeter), which carries out annual retinopathy screening for a population of ∼20,000 patients across Devon. Using simulation modeling, we assessed the potential impact of implementing a 2-year retinopathy screening interval for those patients without retinopathy and who have type 2 diabetes. Diabetic retinopathy may progress more quickly in patients with type 1 diabetes (1,11–13), and although it has been shown that less frequent screening may be feasible for type 1 patients (14), we focus on the lower-risk type 2 diabetic patient group in this study. Previous studies have looked at the cost-effectiveness of longer screening intervals for diabetic retinopathy screening across all patients in a population (7,15,16), but we assessed an increased screening interval solely for those patients who have not yet been diagnosed with diabetic retinopathy. These patients represent ∼40% of the type 1 and type 2 diabetic population screened by Royal Devon and Exeter, and reductions in the frequency with which they are screened could therefore lead to large potential cost and resource savings.     

Flicker Light�CInduced Retinal Vasodilation in Diabetes and Diabetic Retinopathy

OBJECTIVE

Flicker light–induced retinal vasodilation may reflect endothelial function in the retinal circulation. We investigated flicker light–induced vasodilation in individuals with diabetes and diabetic retinopathy.

RESEARCH DESIGN AND METHODS

Participants consisted of 224 individuals with diabetes and 103 nondiabetic control subjects. Flicker light–induced retinal vasodilation (percentage increase over baseline diameter) was measured using the Dynamic Vessel Analyzer. Diabetic retinopathy was graded from retinal photographs.

RESULTS

Mean ± SD age was 56.5 ± 11.8 years for those with diabetes and 48.0 ± 16.3 years for control subjects. Mean arteriolar and venular dilation after flicker light stimulation were reduced in participants with diabetes compared with those in control subjects (1.43 ± 2.10 vs. 3.46 ± 2.36%, P < 0.001 for arteriolar and 2.83 ± 2.10 vs. 3.98 ± 1.84%, P < 0.001 for venular dilation). After adjustment for age, sex, diabetes duration, fasting glucose, cholesterol and triglyceride levels, current smoking status, systolic blood pressure, and use of antihypertensive and lipid-lowering medications, participants with reduced flicker light–induced vasodilation were more likely to have diabetes (odds ratio 19.7 [95% CI 6.5–59.1], P < 0.001 and 8.14 [3.1–21.4], P < 0.001, comparing lowest vs. highest tertile of arteriolar and venular dilation, respectively). Diabetic participants with reduced flicker light–induced vasodilation were more likely to have diabetic retinopathy (2.2 [1.2–4.0], P = 0.01 for arteriolar dilation and 2.5 [1.3–4.5], P = 0.004 for venular dilation).

CONCLUSIONS

Reduced retinal vasodilation after flicker light stimulation is independently associated with diabetes status and, in individuals with diabetes, with diabetic retinopathy. Our findings may therefore support endothelial dysfunction as a pathophysiological mechanism underlying diabetes and its microvascular manifestations.Diabetes affects more than 240 million individuals worldwide, and diabetic retinopathy is the leading cause of blindness in the working-age population in most developed countries (1). There is increasing recognition that early endothelial dysfunction plays a key role in the pathogenesis of diabetes (2) and the development of subsequent microvascular complications (3). In support of endothelial dysfunction in diabetic retinopathy (4) are studies showing relationships of diabetic retinopathy with cardiovascular diseases, including stroke, coronary heart disease, and heart failure, independent of traditional risk factors (5–7). Diabetic retinopathy has also been linked with subclinical manifestations of vascular diseases such as coronary artery calcification and cardiac remodeling (5). However, clinical and epidemiological studies have not found consistent associations of serum markers of endothelial dysfunction (e.g., soluble vascular adhesion molecule-1) with diabetic retinopathy, with some reporting positive associations (8,9), but others not finding any (10,11).The response of retinal vessels to diffuse luminance flicker can be measured noninvasively (12) and may reflect endothelial function of the retinal circulation because it has been demonstrated that nitric oxide is released in the retinal vasculature when it is stimulated by flicker light (13). One recent study showed that individuals with diabetes and diabetic retinopathy have reduced flicker-induced retinal vasodilation but did not control for concomitant risk factors including hyperglycemia, hypertension, and diabetes duration (14). In our current study, we sought to clarify whether flicker light–induced vasodilation is impaired in patients with diabetes and in those with diabetic retinopathy, signs independent of major risk factors.     

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.     

VEGF Levels in Plasma in Relation to Platelet Activation,Glycemic Control,and Microvascular Complications in Type 1 Diabetes

OBJECTIVE

Increased levels of vascular endothelial growth factor (VEGF) in human plasma samples have suggested that circulating VEGF is a cause of endothelial dysfunction in diabetes mellitus. However, artificial release of VEGF from platelets as a source of VEGF in plasma samples, as also occurs in serum samples, has not been ruled out in these studies.

RESEARCH DESIGN AND METHODS

We determined VEGF levels in plasma collected in both citrate and PECT, a medium that inactivates platelets, in a cross-sectional cohort of 21 healthy subjects and 64 patients with type 1 diabetes. In addition, we evaluated whether VEGF levels in both types of plasma correlated with the presence of diabetes, glycemic control, markers of in vivo or ex vivo platelet activation, and degree of diabetic retinopathy and nephropathy.

RESULTS

VEGF levels were invariably low in PECT plasma of both nondiabetic and diabetic subjects and were unrelated to any other diabetes-related variable studied. In contrast, VEGF levels in citrate plasma were 150% higher in diabetic patients than in control subjects and correlated with diabetes-related variables. Multiple linear regression analysis showed that levels of platelet factor 4, a marker for ex vivo platelet activation, and HbA_1c were the independent predictors of VEGF levels in citrate plasma. Platelet activation, in vivo and ex vivo, was similar in diabetic persons and control subjects.

CONCLUSIONS

Like serum, citrate plasma is not suitable for reliable measurements of circulating VEGF. The low levels of VEGF in vivo, as represented by measurements in PECT plasma in our study, do not support a role of circulating VEGF in endothelial dysfunction in type 1 diabetes. Higher levels of VEGF in citrate plasma samples of diabetic persons do not represent the in vivo situation, but mainly originate from higher artificial ex vivo release from platelets correlating with the degree of glycemic control.Type 1 diabetes mellitus (DM) induces systemic endothelial dysfunction, even before clinical microvascular or macrovascular angiopathies become manifest (1–5). It is characterized by increased vascular permeability and elevated plasma levels of endothelium-derived proteins like von Willebrand factor (vWF) (2,3). Endothelial dysfunction is related to increased glycemia, the most important risk factor for clinical diabetic angiopathies (3–5), but its pathogenesis is unclear.Vascular endothelial growth factor (VEGF)-A is a potent angiogenic cytokine, released by hypoxic cells, activated platelets, leukocytes, and cancer cells (6–13). It increases vascular permeability in vivo and activates endothelial cells in vitro, leading to protein kinase C activation and release of several proteins for which plasma levels are elevated in vivo due to diabetic endothelial dysfunction (6,14). In cultured endothelial cells, VEGF production is induced by high levels of glucose and advanced glycation end products (15–18). Taken together, VEGF may play an important role in the pathogenesis of endothelial dysfunction (14,16,18). In support of this notion, VEGF plasma levels were found to be higher in diabetic persons than in control subjects (19–22), and a correlation of plasma VEGF levels with both diabetic nephropathy (DN) and proliferative retinopathy has been reported (23–25).As VEGF is released by activated platelets (7–10), as occurs in serum samples, platelet activation during blood collection could be an artificial source of VEGF in plasma samples as well, but this possibility was not explored in the studies mentioned (19,23,24). VEGF levels in plasma samples may correlate with blood platelet activation at the time of blood sampling rather than represent the steady-state plasma levels of VEGF in vivo. This may explain conflicting results in studies of VEGF plasma levels in DM and other conditions with endothelial dysfunction (14,20–22,26–29).Artificial ex vivo platelet activation during blood collection procedures can be largely inhibited by using anticoagulants to which a mixture of prostaglandin E₁ and theophylline has been added (e.g., PECT medium) (30). When combined with measurements for platelet factor 4 (PF4), a marker for ex vivo artificial platelet activation in blood samples (31), and β-thromboglobulin (β-TG), a marker for in vivo platelet activation (31), PECT plasma allows a more accurate estimation of the actual levels of VEGF circulating in vivo. Using this approach, we have shown in a recent study that VEGF levels in the circulation of patients with metastasized cancer are very low, in contrast to many previous reports that were based on VEGF levels in citrate or EDTA plasma analyses (32).In the current study, we compared VEGF measurements in blood samples of diabetic persons and control subjects collected in citrate and PECT medium. We investigated: 1) whether VEGF levels found in citrate plasma levels were different from those found in PECT plasma; and 2) whether VEGF levels in citrate and PECT plasma correlate with parameters of diabetes and endothelial dysfunction such as HbA_1c levels, glucose levels, vWF levels, or with the presence of diabetic retinopathy (DR) and DN.     

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.     

Glycemic Exposure and Blood Pressure Influencing Progression and Remission of Diabetic Retinopathy: A longitudinal cohort study in GoDARTS

OBJECTIVE

This study sought to investigate the progression and regression of diabetic retinopathy (DR) and the effects of population risk factors on the rates of transition across retinopathy stages.

RESEARCH DESIGN AND METHODS

The study cohort consisted of 44,871 observed DR events between the calendar years 1990 and 2011 for 4,758 diabetic patients who were diagnosed at 35 years of age or older. The first retinal observation was recorded within a year from diagnosis, and the result was recorded as free of retinopathy. A multistate Markov model was applied for analyzing the development of DR and its relation to the patterns of changes in risk factors.

RESULTS

We observed a consistent risk effect of HbA_1c on the progression (no retinopathy to mild background DR [BDR] hazard ratio per SD of HbA_1c [HR] 1.42 [95% CI 1.32–1.52], mild BDR to observable BDR HR 1.32 [95% CI 1.08–1.60], and observable BDR to severe nonproliferative/proliferative DR HR 2.23 [95% CI 1.16–4.29]). Similarly, systolic blood pressure (SBP) and diastolic blood pressure increased the risk for the transition from the asymptomatic phase to mild BDR (HR 1.20 [95% CI 1.11–1.30]) and the mild BDR to observable BDR (HR 1.87 [95% CI 1.46–2.40]), respectively. Regression from mild BDR to no DR was associated with lower SBP (HR 0.79 [95% CI 0.64–0.97]) and lower HbA_1c (HR 0.76 [95% CI 0.64–0.89]).

CONCLUSIONS

Progression and regression of DR were strongly associated with blood pressure and glycemic exposure.Diabetic retinopathy (DR) is a microvascular complication of diabetes and is a significant cause of visual impairment and blindness among patients with diabetes. More than 60% of patients with type 2 diabetes are estimated to eventually develop retinopathy (1,2). The development of DR is broadly classified into nonproliferative and proliferative stages (3). The nonproliferative stage is characterized by the formation of microaneurysms caused by capillary nonperfusion or abnormal permeability (3). The advanced proliferative stage develops when retinal ischemia occurs, stimulating the growth of new blood vessels (namely, neovascularization) (3). The hemorrhage of these fragile blood vessels leads to blood accumulation in the vitreous cavity, potentially resulting in visual impairment (3). Currently, effective therapeutic interventions remain limited and are based around laser photocoagulation.The existing, multistage classification of DR development has prompted the wide use of categorical data analysis strategies in clinical studies. Commonly, cross-sectional studies use DR case and control samples in logistic regression analysis or contingency tables for modeling population risk factor effects (4–7). Other studies have used the longitudinal nature of DR progression in proportional hazard models (8,9). To date, however, only one study (10) has included intermediate states from longitudinal, multistate DR data in the analysis, an approach that provides an increased ability to decipher the stage-wise development of retinopathy compared with a simple survival analysis. In the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) database, we have ongoing, longitudinal collection of DR clinical outcome from 1990 for Tayside patients with diabetes, and additionally we have access to all biochemistry measurements for these patients. These rich data resources enable us to investigate changes in patients’ retinal status over the duration of their diabetes. A multistate Markov model was developed to analyze panel data of a complex, multistaged disease process in continuous time (11). This longitudinal analysis approach has recently been applied in a wide range of medical fields, including hepatic cancer (12), diabetes complications (10,13), breast cancer screening (14), and liver cirrhosis (15). The early study (10) on DR using the multistate Markov approach was not able to assess the clinical effects of relevant risk factors on DR state transitions, possibly owing to insufficient computational power back in the mid-1990s. In this study, we have used the GoDARTS database to incorporate longitudinal measures of multiple risk factors and assess their role in the specific developmental stages of DR.     

Diabetes and risk of prostate cancer: a study using the National Health Insurance

OBJECTIVE

The link between diabetes and prostate cancer is rarely studied in Asians.

RESEARCH DESIGN AND METHODS

The trend of age-standardized prostate cancer incidence in 1995–2006 in the Taiwanese general population was calculated. A random sample of 1,000,000 subjects covered by the National Health Insurance in 2005 was recruited. A total of 494,630 men for all ages and 204,741 men ≥40 years old and without prostate cancer at the beginning of 2003 were followed to the end of 2005. Cumulative incidence and risk ratio between diabetic and nondiabetic men were calculated. Logistic regression estimated the adjusted odds ratios for risk factors.

RESULTS

The trend of prostate cancer incidence increased significantly (P < 0.0001). The cumulative incidence markedly increased with age in either the diabetic or nondiabetic men. The respective risk ratio (95% CI) for all ages and age 40–64, 65–74, and ≥75 years was 5.83 (5.10–6.66), 2.09 (1.60–2.74), 1.35 (1.07–1.71), and 1.39 (1.12–1.71). In logistic regression for all ages or for age ≥40 years, age, diabetes, nephropathy, ischemic heart disease, dyslipidemia, living region, and occupation were significantly associated with increased risk, but medications including insulin and oral antidiabetic agents were not.

CONCLUSIONS

Prostate cancer incidence is increasing in Taiwan. A positive link between diabetes and prostate cancer is observed, which is more remarkable in the youngest age of 40–64 years. The association between prostate cancer and comorbidities commonly seen in diabetic patients suggests a more complicated scenario in the link between prostate cancer and diabetes at different disease stages.The association between diabetes and prostate cancer has been inconsistently reported, even though two meta-analyses suggested that diabetic patients have a lower risk of prostate cancer of 9% (1) and 16% (2), respectively.While the two meta-analyses were examined, many studies were case-control and only three focused on the follow-up of cohorts of diabetic patients (3–5). Among the three cohorts, the cases of prostate cancer were 9 (3), 498 (4), and 2,455 (5), respectively; and only the last (5) showed a significant 9% risk reduction in diabetic patients. Except for the first study being conducted in residents with diabetes in Rochester, Minnesota (3), the diabetic patients in the other two were from hospitalized patients in Denmark (4) and Sweden (5), respectively. The meta-analyses have limitations including a mixture of case-control and cohort designs, a mixture of incident and dead cases, a small number of prostate cancer in most studies, and different sources of subjects with potential selection bias. Although the contamination of type 1 diabetes is possibly minimal because >90% of overall patients have type 2 diabetes, residual confounding could not be excluded if the two types of diabetes are not differentiated.Although some recent studies still suggested a lower risk of prostate cancer in diabetic patients including Caucasians (6,7), Iranians (8), Israelis (9), African Americans, Native Hawaiians, and Japanese Americans (6), the lower risk in African Americans and Native Hawaiians (6) was not significant. Two Japanese studies did not find any significant association (10,11). The Ohsaki Cohort Study suggested that diabetes was not predictive for total prostate cancer, but diabetic patients did show a higher risk of advanced cancer (11).Because diabetic patients are prone to develop cancer involving pancreas, liver, breast, colorectum, bladder, and endometrium (12–15) and the protective effect of diabetes on prostate cancer requires confirmation, this study evaluated the possible link between diabetes and prostate cancer, and the potential risk factors, by using the reimbursement database of the National Health Insurance (NHI) in Taiwan.     

Changes in Detection of Retinopathy in Type 2 Diabetes in the First 4 Years of a Population-Based Diabetic Eye Screening Program: Retrospective cohort study

OBJECTIVE

Annual diabetic eye screening has been implemented in England since 2008. This study aimed to estimate changes in the detection of retinopathy in the first 4 years of the program.

RESEARCH DESIGN AND METHODS

Participants included 32,340 patients with type 2 diabetes resident in three London boroughs with one or more screening records between 2008 and 2011. Data for 87,570 digital images from 2008 to 2011 were analyzed. Frequency of sight-threatening diabetic retinopathy (STDR) was estimated by year of screen for first screens and for subsequent screens according to retinopathy status at first screen.

RESULTS

Among 16,621 first-ever screens, the frequency of STDR was 7.1% in 2008, declining to 6.4% in 2011 (P = 0.087). The proportion with a duration of diabetes of <1 year at first screen increased from 18.7% in 2008 to 48.6% in 2011. Second or later screens were received by 26,308 participants. In participants with mild nonproliferative retinopathy at first screen, the proportion with STDR at second or later screen declined from 21.6% in 2008 to 8.4% in 2011 (annual change −2.2% [95% CI −3.3 to −1.0], P < 0.001). In participants with no retinopathy at first screen, STDR declined from 9.2% in 2008 to 3.2% in 2011 (annual change −1.8% [−2.0 to −1.7], P < 0.001). Declining trends were similar in sociodemographic subgroups.

CONCLUSIONS

After the inception of population-based diabetic eye screening, patients at lower risk of STDR contribute an increasing proportion to the eligible population, and the proportion detected with STDR at second or subsequent screening rounds declines rapidly.Diabetic retinopathy is one of the leading causes of preventable blindness in developed countries and is an increasing cause of blindness in middle-income countries (1). Diabetic retinopathy accounts for ∼5% of the 37 million individuals in the world who are blind (1). The social and medical costs of diabetic retinopathy are substantial. It is estimated that up to 39% of newly diagnosed patients with type 2 diabetes have evidence of retinopathy (2–7). Laser photocoagulation can reduce visual loss in patients with sight-threatening diabetic eye disease (8,9). This observation has stimulated the development and introduction of population screening for diabetic retinopathy. The American Diabetes Association recommends that all diabetic patients have an annual eye examination, with the pupil dilated, in order to detect evidence of retinopathy (10).Population-based diabetic eye screening programs have been established in a number of Western European countries. The incidence and prevalence of blindness is lower among diabetic populations where screening programs have been implemented compared with populations who have not had access to organized population-based screening (11). The overall prevalence of diabetic retinopathy among patients with type 2 diabetes has remained stable over the past 20 years despite an increase in the prevalence of diabetes (12).In England, a national diabetic eye screening program was implemented between 2003 and 2008. Uptake is good (13). Recent increases in the prevalence of known diabetes have led to a substantial increase in the size of the population eligible for screening. These observations have led to suggestions that the screening interval may be increased for selected patients with lower risk of sight-threatening diabetic retinopathy (STDR) (14,15).When a screening program is established in a previously unscreened population, the initial yield of screening, in terms of cases of STDR detected, may be substantial. However, as participants with more advanced disease, or higher risk, leave the eligible population, the yield of screening may be expected to decline. This study aimed to estimate changes in the detection of retinopathy among the screening population over a 4-year period. We specifically aimed to estimate whether the frequency of STDR detected at first screen and at second or later screen changed between 2008 and 2011 and to determine whether any changes in the frequency that STDR detected among the screening population were similar across sociodemographic subgroups. Progression to STDR is more likely among patients who already have evidence of retinopathy when first screened (15) so changes were evaluated in relation to existing background retinopathy.     

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.     

Dipeptidyl peptidase-4 inhibitors and bone fractures: a meta-analysis of randomized clinical trials

OBJECTIVE

Thiazolidinediones and insulin are associated with a higher risk of fractures in type 2 diabetic patients. Incretin hormones increase bone density in experimental models, but the effect of dipeptidyl peptidase-4 (DPP-4) inhibitors on bone fractures has not been reported so far.

RESEARCH DESIGN AND METHODS

A meta-analysis was performed including all randomized clinical trials with a duration of at least 24 weeks, enrolling patients with type 2 diabetes, comparing DPP-4 inhibitors with placebo or active drugs.

RESULTS

Twenty-eight trials enrolling 11,880 and 9,175 patients for DPP-4 inhibitors and comparators, respectively, were included, reporting 63 fractures. DPP-4 inhibitors, compared with placebo or other treatments, were associated with a reduced risk of fractures (Mantel–Haenszel odds ratio [MH-OR] 0.60, 95% CI 0.37–0.99, P = 0.045), even after the exclusion of comparisons with thiazolidinediones or sulfonylureas (MH-OR 0.56, 0.33–0.93, P = 0.026).

CONCLUSIONS

The present meta-analysis suggests that treatment with DPP-4 inhibitors could be associated with a reduced risk of bone fractures.Type 2 diabetes is associated with an increased risk for bone fractures (1–3). The higher risk could be determined by several factors, including falls, diabetes complications, and comorbidities (2). Moreover, glucose-lowering agents such as thiazolidinediones have been reported to reduce bone density (4,5) and to increase the incidence of fractures in longer-term trials (6,7) and in epidemiologic studies (8). Insulin therapy is also associated with an increased fracture risk (9–11) despite its neutral effect on bone density (12). The increased risk of falls, due to hypoglycemia, could lead to higher fracture risk (10).Glucagon-like peptide-1 (GLP-1) has been reported to induce osteoblast differentiation (13) and inhibit osteoclastic activity (14); GLP-1 receptor agonists stimulate bone formation in rodents (15). Experimental data in animal models suggest that gastric intestinal polypeptide is also capable of increasing bone density (16,17). Drugs capable of increasing incretin levels, such as dipeptidyl peptidase-4 (DPP-4) inhibitors, could therefore exert beneficial effects on the bone.     

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.     

Anemia,red blood cell transfusion,and outcomes after severe traumatic brain injury

In the previous issue of Critical Care, Sekhon and colleagues report that mean 7-day hemoglobin concentration <90 g/l was associated with increased mortality among patients with severe traumatic brain injury (TBI). The adverse relationship between reduced hemoglobin concentrations and outcomes among those with TBI has been an inconsistent finding across available studies. However, as anemia is common among adults with severe TBI, and clinical equipoise may exist between specialists as to when to transfuse allogeneic red blood cells, randomized controlled trials of liberal versus restricted transfusion thresholds are indicated.In the previous issue of Critical Care, Sekhon and colleagues conducted a single-center retrospective cohort study to determine whether hemoglobin concentration was associated with outcomes among 273 critically ill adults with severe traumatic brain injury (TBI) [1]. After adjusting for age, Glasgow Coma Scale scores, external ventricular drain insertion, and allogeneic red blood cell (RBC) transfusion, the authors report that the estimated odds of in-hospital mortality among patients with a mean 7-day hemoglobin concentration <90 g/l was 3.1 (95% confidence interval, 1.5 to 6.3) times the estimated odds of in-hospital mortality among those with a mean 7-day hemoglobin concentration ≥90 g/l.Anemia is common among ICU patients [2]. The etiology of ICU anemia is multifactorial and includes the negative effects of the systemic inflammatory response on hematopoiesis, frequent phlebotomy, and hemodilution from intravenous fluid resuscitation [2]. Among ICU patients with TBI, the prevalence of reduced hemoglobin concentration ranges from 22 to 69%, depending on the presence or absence of extracranial hemorrhage and the timing of hemoglobin measurements [3].Although a hemoglobin transfusion threshold >70 g/l was adopted for ICU patients following publication of the Transfusion Requirements in Critical Care trial [4], this target may be poorly tolerated by those with severe TBI [2]. Anemia-induced compensatory mechanisms result in cerebral arteriolar dilatation and increased brain blood flow [2], which could be detrimental for those with cerebral edema or intracranial hypertension. Moreover, as brain tissue oxygen tension is dependent on systemic hemoglobin, reduced hemoglobin concentrations among those with TBI could decrease cerebral oxygen delivery and contribute to brain hypoxia [2].Although the findings of the study by Sekhon and colleagues provide support for the above physiologic concerns regarding reduced hemoglobin concentrations following brain injury [1], the adverse relationship between anemia and clinical outcomes is an inconsistent finding among available clinical studies [1,5-16]. Of the one randomized controlled trial [10] and the now 14 available cohort studies of which we are aware (two of which were based on post-hoc analyses of similar datasets derived from randomized controlled trials) [1,5-9,11-18], eight reported an association between anemia and an increased risk of poor neurological outcomes or mortality [1,5,9,11,13,14,17,18], while the remaining seven observed no such association. Moreover, in a recent systematic review of comparative studies, insufficient evidence was found to support a difference in outcomes between higher and lower hemoglobin levels among mostly TBI patients [19].Possible explanations for the inconsistency in results across studies include differences in TBI severity among study patients and inadequate consideration of the effects of anemia during critical time periods [20]. Although a set hemoglobin threshold may exist under which harm may occur among those with TBI, adverse outcomes may be more likely to occur during times of low cerebral blood flow, brain hypoxia, and/or ineffective autoregulation [16,20]. Some support for this argument was afforded by the findings of a recent retrospective cohort study, which reported that although anemia alone did not appear to be detrimental among patients with severe TBI, the simultaneous combination of anemia and brain hypoxia was linked with an increased risk of unfavorable outcomes [16].Another significant limitation of the existing literature on this topic has been the absence of a defined disease-exposure relationship among patients with TBI. Although it is plausible that development of reduced hemoglobin concentrations may be most important during the first 7 days following severe TBI [1], the use of the mean as a summary measure of exposure has the potential to result in exposure misclassification. Moreover, as the effects of anemia on outcomes following TBI are likely to be small, and a tremendous amount of brain hypoxia due to anemia would probably be needed to increase mortality, a sensitive measure of neurological performance or outcome is probably a more important outcome variable [20].Possibly the most important limitation of the available literature relating anemia to outcomes among those with TBI, however, is the inadequate consideration of the effects of RBC transfusion [19]. Although RBC transfusion often results in a small incremental increase in brain tissue oxygen tension in this patient population, transfused blood has important differences from the patients'' own blood and does not always improve cerebral metabolism [2]. Moreover, at least five retrospective cohort studies have reported that RBC transfusion increases the risk of death or worsened neurological outcome among those with TBI [9,13,14,21,22]. Admittedly, however, these observations could have been related to selection bias and an unbalanced distribution of outcome determinants between treatment groups [20]. Moreover, as anemia and RBC transfusion are probably highly correlated, those studies that used interaction terms for anemia and RBC transfusion in their regression models probably introduced multicollinearity, and therefore their estimated coefficients and odds ratios may be invalid [20].In summary, although preclinical experiments suggest several potential adverse effects of anemia among patients with TBI, the results of the available clinical studies are conflicting, and it remains unclear whether RBC transfusion may further increase risk of adverse outcomes. However, because anemia is common among adults with severe TBI, and a recent survey reported that clinical equipoise may exist among specialists as to when to transfuse allogeneic RBCs [23], randomized controlled trials of liberal versus restricted transfusion thresholds are required among adults with severe TBI. These trials will probably require use of multimodal monitoring to understand whether improved outcomes are only witnessed among those with simultaneous signs of brain hypoxia or cerebral ischemia.     

Postchallenge Glucose, A1C, and Fasting Glucose as Predictors of Type 2 Diabetes and Cardiovascular Disease: A 10-year prospective cohort study

OBJECTIVE

A1C has been proposed as a new indicator for high risk of type 2 diabetes. The long-term predictive power and comparability of elevated A1C with the currently used high-risk indicators remain unclear. We assessed A1C, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) as predictors of type 2 diabetes and cardiovascular disease (CVD) at 10 years.

RESEARCH DESIGN AND METHODS

This prospective population-based study of 593 inhabitants from northern Finland, born in 1935, was conducted between 1996 and 2008. An oral glucose tolerance test (OGTT) was conducted at baseline and follow-up, and A1C was determined at baseline. Those with a history of diabetes were excluded from the study. Elevated A1C was defined as 5.7–6.4%. Incident type 2 diabetes was confirmed by two OGTTs. Cardiovascular outcome was measured as incident CVD or CVD mortality. Multivariate log-binomial regression models were used to predict diabetes, CVD, and CVD mortality at 10 years. Receiver operating characteristic curves compared predictive values of A1C, IGT, and IFG.

RESULTS

Incidence of diabetes during the follow-up was 17.1%. Two of three of the cases of newly diagnosed diabetes were predicted by a raise in ≥1 of the markers. Elevated A1C, IGT, or IFG preceded diabetes in 32.8, 40.6, and 21.9%, respectively. CVD was predicted by an intermediate and diabetic range of 2-h glucose but only by diabetic A1C levels in women.

CONCLUSIONS

A1C predicted 10-year risk of type 2 diabetes at a range of A1C 5.7–6.4% but CVD only in women at A1C ≥6.5%.Early detection of high risk for type 2 diabetes is fundamental for prevention of diabetes and associated cardiovascular complications. Impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) are currently used for diagnosis of high-risk glucose levels below the diabetic range. The International Expert Committee proposed A1C ≥6.5% as a diagnostic tool for diabetes in 2009 (1) and in January 2010 an intermediate range of A1C 5.7–6.4% (elevated A1C) was proposed by the American Diabetes Association (ADA) to detect individuals at high risk for developing type 2 diabetes (2).To date, however, limited data exist to support the use of A1C in predicting type 2 diabetes (3–8). Importantly, the long-term predictive power of elevated A1C as defined above has not yet been investigated. Previous data on the association between A1C and incident type 2 diabetes in unselected populations have relied on self-reporting, fasting glucose measurements, and use of antidiabetes medication to determine the outcomes. An oral glucose tolerance test (OGTT) has not been used to determine the outcome (3–8).Deterioration of glucose homeostasis reflects a continuum of glycemia, some of which is reversible if detected early (9,10). Importantly, the risk of cardiovascular disease is increased already before glycemia reaches the levels of diabetes, and 2-h glucose appears to be a better predictor of cardiovascular disease (CVD) than fasting glucose (11). Recently, A1C was shown to be a better predictor of CVD than fasting glucose (12).Data directly comparing 2-h glucose and A1C as long-term predictors of new-onset cardiovascular disease are scarce, and results are controversial (13,14). Therefore, we compared A1C, 2-h glucose, and fasting glucose as predictors of type 2 diabetes, CVD, and CVD mortality during a prospective population-based study with a 10-year follow-up.     

TRAF-interacting Protein (TRIP): A Novel Component of the Tumor Necrosis Factor Receptor (TNFR)- and CD30-TRAF Signaling Complexes That Inhibits TRAF2-mediated NF-κB Activation

Through their interaction with the TNF receptor–associated factor (TRAF) family, members of the tumor necrosis factor receptor (TNFR) superfamily elicit a wide range of biological effects including differentiation, proliferation, activation, or cell death. We have identified and characterized a novel component of the receptor–TRAF signaling complex, designated TRIP (TRAF-interacting protein), which contains a RING finger motif and an extended coiled-coil domain. TRIP associates with the TNFR2 or CD30 signaling complex through its interaction with TRAF proteins. When associated, TRIP inhibits the TRAF2-mediated NF-κB activation that is required for cell activation and also for protection against apoptosis. Thus, TRIP acts as a receptor–proximal regulator that may influence signals responsible for cell activation/proliferation and cell death induced by members of the TNFR superfamily.Members of the TNF receptor (TNFR)¹ superfamily play important roles in the induction of diverse signals leading to cell growth, activation, and apoptosis (1). Whether the signals induced by a given receptor leads to cell activation or death is, however, highly cell-type specific and tightly regulated during differentiation of cells. For example, the TNFRs can exert costimulatory signals for proliferation of naive lymphocytes but also induce death signals required for deletion of activated T lymphocytes (1). The cytoplasmic domains of these receptors lack intrinsic catalytic activity and also exhibit no significant homology to each other or to other known proteins. Exceptions to this include Fas(CD95) and TNFR1 that share a significant homology within an 80–amino acid region of their cytoplasmic tails (called the “death domain”; 2, 3). Therefore, it is suggested that the TNFR family members can initiate different signal transduction pathways by recruiting different types of intracellular signal transducers to the receptor complex (1).Indeed, several types of intracellular signal transducers have been identified that initiate distinct signal transduction pathways when recruited to the members of TNFR superfamily (4–19). Recent biochemical and molecular studies showed that a class of signal-transducing molecules are recruited to Fas(CD95) or TNFR1 via interaction of the death domains (2, 3, 6, 12, 17, 20). For example, Fas(CD95) and TNFR1 recruit FADD(MORT1)/RIP or TRADD/FADD (MORT1)/RIP through the interactions of their respective death domains (2, 3, 6, 12, 17, 20, 21). Clustering of these signal transducers leads to the recruitment of FLICE/ MACH, and subsequently, to cell death (13, 14).The TNFR family members can also recruit a second class of signal transducers called TRAFs (TNFR-associated factor), some of which are responsible for the activation of NF-κB or JNK (9, 20, 22). TRAF proteins were identified by their biochemical ability to interact with TNFR2, CD40, CD30, or LT-βR (4, 5, 10, 11, 15, 23–27). These receptors interact directly with TRAFs via a short stretch of amino acids within their cytoplasmic tails, but do not interact with the death domain containing proteins (4, 5, 15, 24–27). To date, five members of the TRAF family have been identified as signaling components of the TNFR family members. All TRAF members contain a conserved TRAF domain, ∼230 amino acids in length, that is used for either homo- or heterooligomerization among the TRAF family, for interactions with the cytoplasmic regions of the TNFR superfamily, or for interactions with downstream signal transducers (4, 5, 8, 10, 11, 19, 23–25, 28). In addition to the TRAF domain, most of the TRAF family members contain an NH₂-terminal RING finger and several zinc finger structures, which appear to be important for their effector functions (4, 5, 10, 11, 23–25).Several effector functions of TRAFs were revealed by recent experiments based on a transfection system. TRAF2, first identified by its interaction with TNFR2 (4), was subsequently shown to mediate NF-κB activation induced by two TNF receptors, CD40 and CD30 (9, 28–30). TRAF5 was also implicated in NF-κB activation mediated by LTβR (10), whereas TRAF3 (also known as CRAF1, CD40bp, or LAP1; references 5, 11, 24, and 25) was shown to be involved in the regulation of CD40-mediated CD23 upregulation in B cells (5). The role of other TRAF members in the TNFR family–mediated signal transduction is not clear. They may possess some effector functions as yet to be revealed, or work as adapter proteins to recruit different downstream signal transducers to the receptor complex. For example, TRAF1 is required for the recruitment of members of the cellular inhibitor of apoptosis protein (c-IAP) family to the TNFR2-signaling complex (7). In addition to the signal transduction by the TNFR family members, TRAFs may regulate other receptor-mediated signaling pathways. For example, TRAF6 is a component of IL-1 receptor (IL1R)–signaling complex, in which it mediates the activation of NF-κB by IL-1R (31). Since TRAFs form homo- or heterooligomers, it is suggested that the repertoire of TRAF members in a given cell type may differentially affect the intracellular signals triggered by these receptors. This may be accomplished by the selective interaction of TRAFs with a specific set of downstream signal transducers. Although many aspects of TRAF-mediated effector functions leading to cellular activation have been defined, it needs to be determined whether TRAF proteins will also mediate the apoptotic signals induced by the “death-domain-less” members of the TNFR superfamily (1, 27, 32–36).Here we report the isolation and characterization of a novel component of the TNFR superfamily/TRAFs signaling complex, named TRIP (TRAF-interacting protein). TRIP associates with the receptor/TRAF signaling complex, and inhibits the TRAF2-mediated NF-κB activation. Biochemical studies indicate that TRIP associates with the TNFR2 or CD30 receptor complex via its interaction with TRAF proteins, suggesting a model which can explain why the ligation of these receptors can promote different cell fates: proliferation or death.     

Assessing Progress in Retinopathy Outcomes in Type 1 Diabetes: Comparing findings from the Wisconsin Diabetes Registry Study and the Wisconsin Epidemiologic Study of Diabetic Retinopathy

OBJECTIVE

The Wisconsin Diabetes Registry Study (WDRS) cohort consisted of patients diagnosed with type 1 diabetes in the same geographic region as, but 8–34 years later than the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) cohort, providing a unique opportunity to assess changes in complications. We estimated the current prevalence and severity of diabetic retinopathy at 20 years of diabetes duration, compared these between eras, and evaluated the influence of diabetes management.

RESEARCH DESIGN AND METHODS

Twenty-year examinations, including fundus photographs, were completed on 305 WDRS subjects during 2007–2011. A subgroup of the WESDR cohort participated in one of four study visits during 1980–1996, at similar diabetes duration (n = 583). Adjusted ordinal logistic regression with three retinopathy severity categories was used to estimate odds ratios (ORs) of more severe retinopathy with diagnosis during an earlier era.

RESULTS

Mean hemoglobin A_1c (HbA_1c) was lower in WDRS than in WESDR (8.0% vs. 9.3% [P < 0.001], and 93.4% vs. 21.3% [P < 0.001]) used ≥3 daily insulin injections or an insulin pump. In WDRS, 18% had vision-threatening levels of retinopathy vs. 43% in WESDR. The adjusted OR of more severe retinopathy in the earlier era (OR 3.0 [95% CI 2.2–4.0]) was reduced by including 20-year HbA_1c in the model (OR 2.2 [1.6–3.0]).

CONCLUSIONS

Retinopathy severity at a diabetes duration of 20 years is lower in the more recent era of type 1 diabetes. Updated projections should be used when informing newly diagnosed individuals of prognosis and for health care cost assessments. Current glycemic control explained a limited amount of the difference.The burden of type 1 diabetes mellitus is high. Because type 1 diabetes onset is typically in childhood and adolescence, the effort to manage the disease and its sequelae lasts a lifetime. The majority of the morbidity and mortality associated with type 1 diabetes comes from chronic microvascular and macrovascular complications (1,2), including diabetic retinopathy (DR), a leading cause of preventable blindness in adults (3). Previously, some evidence of DR was present in most individuals by 15–20 years of diabetes duration (4,5). Recent reports, however, suggest less or less severe DR in the current era of diabetes care, not only at early durations (6,7) but perhaps even in long-standing type 1 diabetes (8–11). Studies report a decline in the incidence of severe DR across those diagnosed during the 1960s, 1970s, and early 1980s (8–10), but they may still overestimate the current level of retinopathy at 20 years of the disease (12). “Glycemic memory” (13) implies that individuals practicing intensive diabetes management starting at early diabetes duration may have much lower rates or lesser severity of retinopathy today. Antihypertensive and lipid-lowering therapies now implemented earlier in the course of the disease could also impact the current level of retinopathy (8,14). The current course of retinopathy clearly has implications for individuals with type 1 diabetes as well as the health care system (15). Contemporary estimates on DR, DR severity, and diabetes self-management practices from population-based studies of individuals with type 1 diabetes in the U.S. are needed (12,15).Differences in methods of identifying DR complicate the evaluation of time trends in retinopathy (16,17). In our two studies, protocols for data collection included the same gold standard methods for objectively measuring retinopathy. The Wisconsin Diabetes Registry Study (WDRS) has followed a population-based cohort of individuals comprehensively since diagnosis of type 1 diabetes (6,18). This cohort was enrolled from a geographically defined region overlapping the study area of the landmark and also population-based Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) (4). We sought to capitalize on the unique opportunity presented by these two cohorts to investigate change in the course of DR. Specifically, we aimed to do the following: 1) provide contemporary estimates of the prevalence and severity of DR and diabetes self-management in the population after type 1 diabetes duration of 20 years, 2) compare retinopathy severity between time periods, and 3) evaluate whether changes in glycemic control and related diabetes management factors explained the differences seen in retinopathy between these time periods.     

A New Mechanism of NK Cell Cytotoxicity Activation: The CD40–CD40 Ligand Interaction

NK recognition is regulated by a delicate balance between positive signals initiating their effector functions, and inhibitory signals preventing them from proceeding to cytolysis. Knowledge of the molecules responsible for positive signaling in NK cells is currently limited. We demonstrate that IL-2–activated human NK cells can express CD40 ligand (CD40L) and that recognition of CD40 on target cells can provide an activation pathway for such human NK cells. CD40-transfected P815 cells were killed by NK cell lines expressing CD40L, clones and PBLderived NK cells cultured for 18 h in the presence of IL-2, but not by CD40L-negative fresh NK cells. Cross-linking of CD40L on IL-2–activated NK cells induced redirected cytolysis of CD40-negative but Fc receptor-expressing P815 cells. The sensitivity of human TAP-deficient T2 cells could be blocked by anti-CD40 antibodies as well as by reconstitution of TAP/MHC class I expression, indicating that the CD40-dependent pathway for NK activation can be downregulated, at least in part, by MHC class I molecules on the target cells. NK cell recognition of CD40 may be important in immunoregulation as well as in immune responses against B cell malignancies.NK cells represent a distinct lineage of lymphocytes that are able to kill a variety of tumor (1), virus-infected (2), bone marrow transplanted (3), and allogeneic target cells (4). NK cells do not express T cell receptors or immunoglobulins and are apparently normal in mice with defects in the recombinase machinery (5, 6).Our knowledge about NK cell specificity has increased considerably in the last years. NK cells can probably interact with target cells by a variety of different cell surface molecules, some involved in cell adhesion, some activating the NK cytolytic program (7, 8), and other ones able to inhibit this activation by negative signaling (as reviewed in reference 9).A common feature of several inhibitory NK receptors is the capability to bind MHC class I molecules (10, 11), as predicted by the effector inhibition model within the missing self hypothesis of recognition by NK cells (12–14). Interestingly, the MHC class I receptors identified so far belong to different gene families in mouse and man; these are the p58/p70/NKAT or killer cell inhibitory receptors (KIR)¹ of the immunoglobulin superfamily in man and the Ly49 receptors of the C-type lectin family in the mouse. There is also evidence that MHC class I molecules can be recognized as triggering signals in NK cells of humans, rats as well as mice (13). The inhibitory receptors allow NK cells to kill tumor or normal cell targets with deficient MHC class I expression (12, 14). This does not exclude that other activating pathways can override inhibition by MHC class I molecules (15) and, even in their absence, there must be some activating target molecules that initiate the cytolytic program. Several surface molecules are able to mediate positive signals in NK cells. Some of these structures, like NKRP1 (16), CD69 (17), and NKG2 (18) map to the NK complex region (NKC) of chromosome 6 in mice and of chromosome 12 in humans (13). CD2 (19) and CD16 (20) molecules can also play a role in the activation pathway.NK cells resemble T cells in many respects, both may arise from an immediate common progenitor (21, 22), and share the expression of several surface molecules (23). NK cells produce cytokines resembling those secreted by some helper T cell subsets (24) and contain CD3 components in the cytoplasm (21). The expression of some surface structures, involved in TCR-dependent T cell costimulation, like CD28 in human (25), has been described on NK cells, but the functional relevance of these molecules for NK activation processes has not been fully established.Another T cell molecule of interest is CD40L, which interacts with CD40, a 50-kD membrane glycoprotein expressed on B cells (26), dendritic cells (27), and monocytes (28). CD40 is a member of the tumor necrosis factor/nerve growth factor receptor family (29) which includes CD27 (30), CD30 (31), and FAS antigen (32). Murine and human forms of CD40L had been cloned and found to be membrane glycoproteins with a molecular mass of ∼39 kD induced on T cells after activation (33). Also mast cells (34), eosinophils (35), and B cells (36) can be induced to express a functional CD40L. The CD40L–CD40 interaction has been demonstrated to be necessary for T cell–dependent B cell activation (33, 37). Mutations in the CD40L molecule cause a hyper-IgM immunodeficiency condition in man (38, 39, 40). On the other hand, CD40–CD40L interactions also orchestrate the response of regulatory T cells during both their development (41, 42) and their encounter with antigen (43, 44).NK cells have also been suggested to play a role in B cell differentiation and immunoglobulin production (45). Therefore, it was of interest to investigate whether NK cells could use a CD40-dependent pathway in their interactions with other cells. Therefore, we have investigated the ability of target cells expressing CD40 to induce activation of NK cytotoxicity.     

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.