Gestational diabetes mellitus: From consensus to action on screening and treatment

The 1998 consensus guidelines on the management of gestational diabetes mellitus from the Australasian Diabetes in Pregnancy Society emphasised that, “due to a lack of good quality randomised controlled clinical trials in the area of [gestational diabetes mellitus], these guidelines are based on what is a reasonable consensus of informed opinion in Australasia”.1 The clear benefits of treating women with gestational diabetes according to these guidelines have now been demonstrated by the Australian Carbohydrate Intolerance Study in Pregnant Women (ACHOIS).2 This study randomised 1000 women with gestational diabetes to either routine antenatal care or to an intervention that comprised home glucose monitoring, review by a diabetes educator, dietitian and physician, and insulin therapy if glycaemic targets were not met. Serious adverse perinatal outcomes occurred in 1% of the intervention group versus 4% of the routine-care group (adjusted relative risk, 0.33 [95% CI, 0.14–0.75]). The percentage of infants who were large for gestational age was lower in the intervention group (13% v 22%), with no increase in those who were small for gestational age. Although induction of labour was more common in the intervention group (39% v 29%), rates of caesarean delivery were similar (around 31%). Measures of maternal quality of life were more favourable in the intervention group. To prevent one serious perinatal outcome, 34 women needed to be treated. The 1998 guidelines were equivocal in regard to screening for gestational diabetes, allowing either for universal screening or for selective screening based on clinical risk factors in relatively lowrisk populations. In the light of the findings of ACHOIS, we believe that universal screening should now be accepted and implemented.

Increased C282Y heterozygosity in gestational diabetes

Background. Hereditary hemochromatosis is an autosomal recessive disorder of iron metabolism that is characterized by excess accumulation of iron in various organs and often leads to diabetes mellitus (DM). To study whether mutations in the hemochromatosis gene (HFE) could be a risk factor for the development of gestational diabetes mellitus (GDM), the prevalence of HFE mutations in patients with GDM was compared to that of healthy pregnant controls. Methods: GDM was diagnosed in 208 of 2,421 pregnant woman screened between the 24th and 28th week of gestation over a period of 18 months. Patients and 170 matched control subjects were screened for the HFE gene mutations C282Y and H63D. Results: In North and Central European GDM patients, the allele frequency of the C282Y mutation (7.7%) was higher than in pregnant controls (2.9%; p = 0.04), while the frequency of the H63D mutation was not different (p = 0.45). Three patients with GDM were homozygous for H63D (3.1%), 1 patient was homozygous for C282Y (1.0%), 2 patients were compound heterozygous (2.0%) and 26 were heterozygous [11 C282Y (11.2%) and 15 H63D (15.3%)]. C282Y and H63D allele frequencies were not different between controls and GDIVI patients of Southern European or non-European origin. Irrespective of the HIFE-mutation status, serum ferritin levels were increased in patients with GDM compared to healthy pregnant controls (p = 0.01), while transferrin saturation was similar in both groups. Conclusions: In North and Central European patients with GDM, the C282Y allele frequency is higherthan in healthy pregnant women, suggesting a genetic susceptibility to the development of GDM. Copyright (c) 2005 S. Karger AG, Basel.

Canine and Feline Diabetes Mellitus: Nature or Nurture?

There is evidence for the role of genetic and environmental factors in feline and canine diabetes. Type 2 diabetes is the most common form of diabetes in cats. Evidence for genetic factors in feline diabetes includes the overrepresentation of Burmese cats with diabetes. Environmental risk factors in domestic or Burmese cats include advancing age, obesity, male gender, neutering, drug treatment, physical inactivity, and indoor confinement. High-carbohydrate diets increase blood glucose and insulin levels and may predispose cats to obesity and diabetes. Low-carbohydrate, high-protein diets may help prevent diabetes in cats at risk such as obese cats or lean cats with underlying low insulin sensitivity. Evidence exists for a genetic basis and altered immune response in the pathogenesis of canine diabetes. Seasonal effects on the incidence of diagnosis indicate that there are environmental influences on disease progression. At least 50% of diabetic dogs have type 1 diabetes based on present evidence of immune destruction of P-cells. Epidemiological factors closely match those of the latent autoimmune diabetes of adults form of human type 1 diabetes. Extensive pancreatic damage, likely from chronic pancreatitis, causes similar to28% of canine diabetes cases. Environmental factors such as feeding of high-fat diets are potentially associated with pancreatitis and likely play a role in the development of pancreatitis in diabetic dogs. There are no published data showing that overt type 2 diabetes occurs in dogs or that obesity is a risk factor for canine diabetes. Diabetes diagnosed in a bitch during either pregnancy or diestrus is comparable to human gestational diabetes.

Strategies for identifying and predicting islet autoantigen T-cell epitopes in insulin-dependent diabetes mellitus

T cells recognize peptide epitopes bound to major histocompatibility complex molecules. Human T-cell epitopes have diagnostic and therapeutic applications in autoimmune diseases. However, their accurate definition within an autoantigen by T-cell bioassay, usually proliferation, involves many costly peptides and a large amount of blood, We have therefore developed a strategy to predict T-cell epitopes and applied it to tyrosine phosphatase IA-2, an autoantigen in IDDM, and HLA-DR4(*0401). First, the binding of synthetic overlapping peptides encompassing IA-2 was measured directly to purified DR4. Secondly, a large amount of HLA-DR4 binding data were analysed by alignment using a genetic algorithm and were used to train an artificial neural network to predict the affinity of binding. This bioinformatic prediction method was then validated experimentally and used to predict DR4 binding peptides in IA-2. The binding set encompassed 85% of experimentally determined T-cell epitopes. Both the experimental and bioinformatic methods had high negative predictive values, 92% and 95%, indicating that this strategy of combining experimental results with computer modelling should lead to a significant reduction in the amount of blood and the number of peptides required to define T-cell epitopes in humans.

Metformin therapy and diabetes in pregnancy

No adverse pregnancy outcomes with metformin use have been reported, except in one unmatched study. Otherwise, the studies are small and non-randomised, with the exception of one prospective, randomised controlled trial, currently under way, comparing metformin with insulin in women with gestational diabetes mellitus (the MiG trial). No long-term follow-up data for offspring of mothers receiving metformin have been published. Any woman with diabetes should be as close to euglycaemia as possible before pregnancy. In some circumstances (eg, severe insulin resistance), metformin therapy during pregnancy may be warranted. When metformin treatment is being considered, the individual risks and benefits need to be discussed with the patient so that an appropriate decision can be reached.

Quality of diabetes care and coronary heart disease absolute risk in patients with type 2 diabetes mellitus in Australian general practice

Objective: To examine the quality of diabetes care and prevention of cardiovascular disease (CVD) in Australian general practice patients with type 2 diabetes and to investigate its relationship with coronary heart disease absolute risk (CHDAR). Methods: A total of 3286 patient records were extracted from registers of patients with type 2 diabetes held by 16 divisions of general practice (250 practices) across Australia for the year 2002. CHDAR was estimated using the United Kingdom Prospective Diabetes Study algorithm with higher CHDAR set at a 10 year risk of >15%. Multivariate multilevel logistic regression investigated the association between CHDAR and diabetes care. Results: 47.9% of diabetic patient records had glycosylated haemoglobin (HbA1c) >7%, 87.6% had total cholesterol >= 4.0 mmol/l, and 73.8% had blood pressure (BP) >= 130/85 mm Hg. 57.6% of patients were at a higher CHDAR, 76.8% of whom were not on lipid modifying medication and 66.2% were not on antihypertensive medication. After adjusting for clustering at the general practice level and age, lipid modifying medication was negatively related to CHDAR (odds ratio (OR) 0.84) and total cholesterol. Antihypertensive medication was positively related to systolic BP but negatively related to CHDAR (OR 0.88). Referral to ophthalmologists/optometrists and attendance at other health professionals were not related to CHDAR. Conclusions: At the time of the study the diabetes and CVD preventive care in Australian general practice was suboptimal, even after a number of national initiatives. The Australian Pharmaceutical Benefits Scheme (PBS) guidelines need to be modified to improve CVD preventive care in patients with type 2 diabetes.

(Review) Body mass index and risk of diabetes mellitus in the Asia-Pacific region

Few prospective data from the Asia Pacific region are available relating body mass index to the risk of diabetes. Our objective was to provide reliable age, sex and region specific estimates of the associations between body mass index and diabetes. Twenty-seven cohort studies from Asia, New Zealand and Australia, including 154,989 participants, contributed 1,244,793 person-years of follow-up. Outcome data included a combination of incidence of diabetes (based on blood glucose measurements) and fatal diabetes events. Hazard ratios were calculated from Cox models, stratified by sex and cohort, and adjusted for age at risk and smoking. During follow-up (mean = 8 years), 75 fatal diabetes events and 242 new cases of diabetes were documented. There were continuous positive associations between baseline body mass index and risk of diabetes with each 2 kg/m(2) lower body mass index associated with a 27% (23-30%) lower risk of diabetes. The associations were stronger in younger age groups, and regional comparisons demonstrated slightly stronger associations in Asian than in Australasian cohorts (P = 0.04). This overview provides evidence of a strong continuous association between body mass index and diabetes in the Asia Pacific region. The results indicate considerable potential for reduction in incidence of diabetes with population-wide lowering of body mass index in this region.