Ramadan and gestational diabetes: maternal and neonatal outcomes.

AIMS: The impact of Ramadan exposure to Gestational Diabetes Mellitus (GDM) pregnancies is not known. We therefore aimed to assess the association of Ramadan with maternal and neonatal outcomes among pregnant women with GDM. METHODS: Retrospective cohort study of 345 Muslim women with singleton pregnancies who attended a major Sydney teaching hospital during the period 1989-2010, was undertaken. Exposure to Ramadan was stratified by the: (1) total pregnancy days exposed to Ramadan, (2) duration (hours) of daily fasting and (3) trimester of exposure. Maternal and neonatal outcomes were examined by exposure status, and never exposed pregnancies were comparator in all three analyses. Fasting status was not recorded. RESULTS: We found no significant effect of Ramadan exposure on mean birthweight, macrosomia and maternal outcomes. However, we found a significant trend for increased neonatal hyperbilirubinemia with increasing Ramadan days exposure and later trimester exposure (ptrend ≤ 0.02 for both), with adjusted OR 3.9 (p=0.03) for those with ≥ 21 days exposure to Ramadan and adjusted OR 4.3 (p=0.04) for third trimester exposure. Conversely longer Ramadan exposure and late trimester exposure were independently associated with a lower prevalence of neonatal hypoglycaemia (adjusted OR 0.4 and 0.3 for ≥ 21 days and third trimester exposure, respectively). Furthermore, neonatal hypoglycaemia decreased for the fasting period of > 15 h group (adjusted OR 0.2, p = 0.01). CONCLUSIONS: Ramadan exposure is associated with reduced neonatal hypoglycaemia, with no effect on birthweight, implying more favourable glycaemic control. However, the fourfold excess of neonatal hyperbilirubinemia indicates a need for further study of Ramadan and GDM.

Young adult onset type 2 diabetes versus type 1 diabetes: Progression to and survival on renal replacement therapy.

BACKGROUND: Young-onset type 2 diabetes is an aggressive disease characterized by development of diabetic complications, including nephropathy, early in the disease course. However, within the cohort of young-onset type 1 and type 2 diabetes there are limited comparative data regarding progression to ESKD requiring renal replacement therapy or renal-related death (RRT/RRD). METHODS: Probabilistic linkage of data from the RPAH Diabetes Centre, National Death Index and Australian and New Zealand Dialysis and Transplant Registry was undertaken. Cumulative Incidence Competing Risk and Cox Proportional Hazards Modelling approaches were utilized to examine progression to ESKD in young-onset type 1 and type 2 diabetes (age of diagnosis 15-35 years). FINDINGS: Unadjusted incidence rates (95% CI) of RRT/RRD in young-onset type 1 and type 2 diabetes were 3.1 (2.3-4.0) and 4.6 (3.7-5.7) per 1000 person years respectively. After adjustment for gender, ethnicity and duration of diabetes, the HR (95% CI) of RRT/RRD in young-onset type 2 diabetes was 2.0 (1.4-2.9). The HR remained higher after further adjustment for first available cholesterol, HbA1c and systolic blood pressure but not BMI. For those who progressed to RRT, prognosis was similar irrespective of diabetes type; cumulative incidence of mortality was 40% in both young-onset type 1 and type 2 diabetes after 6 years of dialysis. INTERPRETATION: Progression to RRT/RRD is greater in young-onset type 2 diabetes than in young-onset type 1 diabetes. The increased progression is associated with increased BMI. However, once ESKD is reached, individuals with young-onset type 1 and type 2 diabetes do equally poorly.

Secular Trends in Information Communications Technology: Access, Use, and Attitudes of Young and Older Patients With Diabetes.

BACKGROUND: Advances in information communications technology (ICT) provide opportunities for enhanced diabetes care. Knowledge of the more acceptable communication modalities in patients of different ages will help to inform the direction of future innovations. METHODS: An anonymous ICT survey (examining access and use of mobile phones, computers, tablets, and the Internet and attitudes toward e-mail, Web-based consultations, and online peer-support) was conducted at the Royal Prince Alfred Hospital Diabetes Centre in Sydney, Australia. Survey deployment occurred during 4-month periods in 2012 and 2017. Respondents were stratified by current age (<40 or ≥40 years). RESULTS: A total of 614 unselected patients (20% with type 1 diabetes, 55% with type 2 diabetes, 13% with gestational diabetes mellitus, and 12% with an undisclosed type of diabetes) completed the survey. Access to ICT increased from 89% in 2012 to 97% in 2017. The most commonly owned device was a mobile phone (87% ownership in 2017). Increase in mobile Internet usage in the <40 years of age subgroup was significant (P = 0.04). Significant increases in Internet access and smartphone feature use were observed in patients aged ≥40 years (P ≤0.001 for all). Overall use of short message service (SMS, or text messaging) was high (90 and 80% for ages <40 and ≥40 years, respectively). Use of digital applications was low, even among the young (45% in 2017). Comfort with online consultations (40%) and support groups (32%) was also low. CONCLUSION: Access to and acceptance and use of ICT is high, especially in those <40 years of age; however, the greatest increases were seen in those aged ≥40 years. High penetrance of mobile phones and text messaging in all age-groups would suggest that innovations involving an SMS platform have the greatest potential to enhance diabetes care.

An on-line support tool to reduce exercise-related hypoglycaemia and improve confidence to exercise in type 1 diabetes.

OBJECTIVE: Hypoglycaemia related to exercise and lack of confidence to exercise, are common in T1DM. An online educational exercise tool (ExT1D) was tested to determine whether these parameters can be improved. RESEARCH DESIGN AND METHODS: Thirty two adults with T1DM (50%M, age 35.8 ±â€¯9.5 yr diabetes duration 12.3 ±â€¯9.9 yr, median HbA1c 7.1%[ICR 6.4-7.7] NGSPU) exercising ≥ 60 min/week enrolled in a RCT utilising ExT1D, with partial cross-over design. The primary end-point was Exercise-related hypoglycaemia (ErH) number corrected for exercise session number, with ErH defined as CGM episodes < 4.0 mM occurring within 24 h of exercise. Secondary RCT endpoints were total ErH duration, and ErH duration/episode. A pre-defined longitudinal analysis with each subject compared with their baseline was also undertaken, for the three ErH parameters, and using fear of hypoglycaemia questionnaires. RESEARCH: In the RCT a 50% lower median ErH number (P = 0.6) (37% lower ErH number per exercise session (P = 0.06, NS primary endpoint) occurred in the Intervention vs Control group. A 49% lower ErH duration per episode (P = 0.2), and 80% less ErH duration (P = 0.3), were also observed in the Intervention vs Control group. In the longitudinal study, ErH number reduced by 43% (P = 0.088), ErH duration per episode by 52% (P = 0.157) and total duration of ErH fell by 71% (P = 0.015). Confidence to prevent glucose lowering by exercise also improved (P = 0.039). Post-hoc analysis showed those with the greatest ErH events at baseline benefited most. Fructosamine and HbA1c levels were unchanged from baseline. CONCLUSIONS: ExT1D can reduce exercise-related hypoglycaemia and provide greater confidence to exercise.

Cardiac Effects of Sulfonylurea-Related Hypoglycemia.

OBJECTIVE: To determine the effect of sulfonylurea-related hypoglycemia on cardiac repolarization and ectopy in the setting of well-controlled type 2 diabetes. RESEARCH DESIGN AND METHODS: Thirty subjects with sulfonylurea-treated type 2 diabetes underwent 48 h of concurrent continuous glucose monitoring and ambulatory electrocardiography. Ventricular repolarization (QTc) and QT dynamicity were analyzed during periods of hypoglycemia (<3.5 mmol/L for >20 min) and compared with periods of euglycemia and hyperglycemia combined. Cardiac ectopy rates during hypoglycemia were compared with ectopy rates when blood glucose was 4-10 mmol/L. RESULTS: Mean HbA1c was 6.9% (52 mmol/mol). Hypoglycemia was detected in 9 of 30 subjects (30%); episodes were typically nocturnal (67%) and asymptomatic (73%). Hypoglycemia-associated QTc prolongation was seen in five of nine subjects with a large variation in individual response. Higher QT dynamicity, a poor prognostic factor in cardiac disease, was seen in subjects who experienced hypoglycemia compared with subjects who did not (0.193 vs. 0.159 for the nocturnal period; P = 0.01). This finding persisted after the hypoglycemic event. The rates of ventricular and supraventricular ectopy demonstrated a nonsignificant trend toward an increase during hypoglycemia (median rate ratio 1.58 and 1.33, respectively). Similar, nonsignificant results were observed in a separate insulin-treated cohort. CONCLUSIONS: Hypoglycemia, often unrecognized, is a frequent finding in well-controlled sulfonylurea-treated type 2 diabetes. It is associated with the novel finding of increased QT dynamicity and QTc prolongation in some individuals. Our findings suggest sulfonylurea-related hypoglycemia can have detrimental cardiovascular sequelae. Similar effects are also seen in the setting of insulin therapy.

Data collection on retinopathy as a public health tool: The Hubble telescope equivalent of looking back in time.

OBJECTIVE: To test whether the rate of diabetic retinopathy development in a population calculated from the prevalence of retinopathy and duration of diabetes can be used to assess their prior glycemic control. RESEARCH DESIGN AND METHODS: 9281 patients with type 2 diabetes (T2DM) were grouped by duration of diabetes and plotted against the % of retinopathy in each band. The slope was used to calculate retinopathy development/year (RD/y). We correlated the RD/y with updated HbA1c within groups of different ethnicity, age of diabetes onset, year of the eye examination, socio-economic status and fluency in English. RESULTS: Differences in ethnicity, age of diabetes onset and year of the eye examination affect RD/y to a degree predictable from their respective updated HbA1c. No such relationship with updated HbA1c was evident when a factor has no apparent effect on RD/y. CONCLUSIONS: This relationship between prevalence of retinopathy and duration of diabetes can be used to assess future retinopathy burden. Perhaps more intriguing, the camera can be reversed to allow an estimate of prior glycemic control of a population from its retinopathy prevalence. Health care organizations can use this method to project future needs and to assess adequacy of prior glycemic control.

Baseline HbA1c to Identify High-Risk Gestational Diabetes: Utility in Early vs Standard Gestational Diabetes.

Context: The increasing prevalence of gestational diabetes mellitus (GDM) necessitates risk stratification directing limited antenatal resources to those at greatest risk. Recent evidence demonstrates that an early pregnancy glycated hemoglobin (HbA1c ≥5.9% (41 mmol/mol) predicts adverse pregnancy outcomes. Objective: To determine the optimal HbA1c threshold for adverse pregnancy outcomes in GDM in a treated multiethnic cohort and whether this differs in women diagnosed <24 vs ≥24 weeks' gestation (early vs standard GDM). Design and Setting: This was a retrospective cohort study undertaken at the Royal Prince Alfred Hospital Diabetes Antenatal Clinic, Australia, between 1991 and 2011. Patients and Interventions: Pregnant women (N = 3098) underwent an HbA1c (single-laboratory) measurement at the time of GDM diagnosis. Maternal clinical and pregnancy outcome data were collected prospectively. Main Outcome Measure: The association between baseline HbA1c and adverse pregnancy outcomes in early vs standard GDM. Results: HbA1c was measured at a median of 17.6 ± 3.3 weeks' gestation in early GDM (n = 844) and 29.4 ± 2.6 weeks' gestation in standard GDM (n = 2254). In standard GDM, HbA1c >5.9% (41 mmol/mol) was associated with the greatest risk of large-for-gestational-age (odds ratio [95% confidence interval] = 2.7 [1.5-4.9]), macrosomia (3.5 [1.4-8.6]), cesarean section (3.6 [2.1-6.2]), and hypertensive disorders (2.6 [1.1-5.8]). In early GDM, similar HbA1c associations were seen; however, lower HbA1c correlated with the greatest risk of small-for-gestational-age (P trend = 0.004) and prevalence of neonatal hypoglycemia. Conclusions: Baseline HbA1c >5.9% (41 mmol/mol) identifies an increased risk of large-for-gestational-age, macrosomia, cesarean section, and hypertensive disorders in standard GDM. Although similar associations are seen in early GDM, higher HbA1c levels do not adequately capture risk-limiting utility as a triage tool in this cohort.

An Inverse Relationship Between Age of Type 2 Diabetes Onset and Complication Risk and Mortality: The Impact of Youth-Onset Type 2 Diabetes.

OBJECTIVE: This study compared the prevalence of complications in 354 patients with T2DM diagnosed between 15 and 30 years of age (T2DM15-30) with that in a duration-matched cohort of 1,062 patients diagnosed between 40 and 50 years (T2DM40-50). It also examined standardized mortality ratios (SMRs) according to diabetes age of onset in 15,238 patients covering a wider age-of-onset range. RESEARCH DESIGN AND METHODS: Complication status was assessed according to a standard protocol and extracted from our electronic database. Survival status was ascertained by data linkage with the Australian National Death Index. SMRs were calculated in comparison with the background Australian population and analyzed according to age of onset. RESULTS: After matching for duration, despite their younger age, T2DM15-30 had more severe albuminuria (P = 0.004) and neuropathy scores (P = 0.003). T2DM15-30 were as commonly affected by metabolic syndrome factors as T2DM40-50 but less frequently treated for hypertension and dyslipidemia (P < 0.0001). An inverse relationship between age of diabetes onset and SMR was seen, which was the highest for T2DM15-30 (3.4 [95% CI 2.7-4.2]). SMR plots adjusting for duration show that for those with T2DM15-30, SMR is the highest at any chronological age, with a peak SMR of more than 6 in early midlife. In contrast, mortality for older-onset groups approximates that of the background population. CONCLUSIONS: The negative effect of diabetes on morbidity and mortality is greatest for those diagnosed at a young age compared with T2DM of usual onset. These results highlight the growing imperative to direct attention toward young-onset T2DM and for effective interventions to be applied before middle age.

Identifying Glucokinase Monogenic Diabetes in a Multiethnic Gestational Diabetes Mellitus Cohort: New Pregnancy Screening Criteria and Utility of HbA1c.

OBJECTIVE: Glucokinase monogenic diabetes (GCK-maturity-onset diabetes of the young [MODY]) should be differentiated from gestational diabetes mellitus (GDM) because management differs. New pregnancy-specific screening criteria (NSC) have been proposed to identify women who warrant GCK genetic testing. We tested NSC and HbA1c in a multiethnic GDM cohort and examined projected referrals for GCK testing. RESEARCH DESIGN AND METHODS: Using a GDM database, 63 of 776 women had a postpartum oral glucose tolerance test suggestive of GCK-MODY. Of these 63 women, 31 agreed to undergo GCK testing. NSC accuracy and HbA1c were examined. Projected referrals were calculated by applying the NSC to a larger GDM database (n = 4,415). RESULTS: Four of 31 women were confirmed as having GCK-MODY (prevalence ∼0.5-1/100 with GDM). The NSC identified all Anglo-Celtic women but did not identify one Indian woman. The NSC will refer 6.1% of GDM cases for GCK testing, with more Asian/Indian women referred despite lower disease prevalence. Antepartum HbA1c was not higher in those with GCK-MODY. CONCLUSIONS: The NSC performed well in Anglo-Celtic women. Ethnic-specific criteria should be explored.

Gestational Diabetes Mellitus in Early Pregnancy: Evidence for Poor Pregnancy Outcomes Despite Treatment.

OBJECTIVE: Recent guidelines recommend testing at <24 weeks of gestation for maternal dysglycemia in "high-risk" women. Evidence to support the early identification and treatment of gestational diabetes mellitus (GDM) is, however, limited. We examined the prevalence, clinical characteristics, and pregnancy outcomes of high-risk women with GDM diagnosed at <24 weeks of gestation (early GDM) and those with pre-existing diabetes compared with GDM diagnosed at ≥24 weeks of gestation, in a large treated multiethnic cohort. RESEARCH DESIGN AND METHODS: Outcomes from 4,873 women attending a university hospital antenatal diabetes clinic between 1991 and 2011 were examined. All were treated to standardized glycemic targets. Women were stratified as pre-existing diabetes (n = 65) or GDM diagnosed at <12 weeks of gestation (n = 68), at 12-23 weeks of gestation (n = 1,247), or at ≥24 weeks of gestation (n = 3,493). RESULTS: Hypertensive disorders in pregnancy including pre-eclampsia, preterm delivery, cesarean section, and neonatal jaundice (all P < 0.001) were more prevalent in women with pre-existing diabetes and early GDM. Macrosomia (21.8% vs. 20.3%, P = 0.8), large for gestational age (39.6% vs. 32.8%, P = 0.4), and neonatal intensive care admission (38.5% vs. 39.7%, P = 0.9) in women in whom GDM was diagnosed at <12 weeks of gestation were comparable to rates seen in women with pre-existing diabetes. CONCLUSIONS: Despite early testing and current best practice treatment, early GDM in high-risk women remains associated with poorer pregnancy outcomes. Outcomes for those in whom GDM was diagnosed at <12 weeks of gestation approximated those seen in pre-existing diabetes. These findings indicate the need for further studies to establish the efficacy of alternative management approaches to improve outcomes in these high-risk pregnancies.

Ethnic specific differences in survival of patients with type 2 diabetes: analysis of data collected from an Australian multi-ethnic cohort over a 25 year period.

AIMS: To examine the survival of patients with type 2 diabetes from 7 ethnic groups, living in the shared environment of an Australian city. METHODS: Hazard ratio of death (HR) after diagnosis of diabetes was compared between Anglo-Celtic (n=5433), Indigenous Australian (n=439), Pacific Islander (n=354), Mediterranean (n=3138), Arabic (n=768), Indian (n=702) and Chinese (n=1632) patients who live in metropolitan Sydney. Mortality was ascertained by data-linkage with the Australian National Death Index. The modulating effects of glycaemic control, diabetes/vascular complications and risk factors, year of diabetes diagnosis and duration of diabetes on ethnic differences were analysed by Cox regression. Socio-economic status and competence in English were also examined. RESULTS: There were significant differences in survival between the ethnic groups; the Indigenous Australians had the highest HR for death (2.3, 95% CI 1.7-3.0) and the Chinese the lowest (0.4, 95% CI 0.4-0.5). The survival of the Anglo-Celtics (HR 1) was surprisingly poorer than for Indian (0.6, 95% CI 0.5-0.8), Arab (0.7, 95% CI 0.6-0.8) and Mediterranean groups (0.8, 95% CI 0.7-0.9). Prevalence of smoking and albuminuria were strongly associated with HR. The better survival of Chinese and Arab and the worse survival of Indigenous Australians remained after adjustment of risk factors. Need for an interpreter was a favourable risk factor for survival. CONCLUSIONS: Ethnicity is a significant determinant of survival in type 2 diabetes and this is substantially but not completely mediated by smoking and vascular risk factors. The favourable impact associated with less competence in English may represent a Healthy-migrant effect.

Improving Self-Monitoring of Blood Glucose among Adults with Type 1 Diabetes: Results of the Mobile™ Study.

INTRODUCTION: The objective of this study was to determine whether people with type 1 diabetes are more likely to self-monitor their blood glucose (SMBG) as recommended by their diabetes health care professional using the Accu-Chek Mobile™ (F. Hoffmann-La Roche AG, Basel, Switzerland) monitoring system compared to the Freestyle Optium™ (Abbott, North Chicago, IL, USA). METHODS: Thirty-five participants with type 1 diabetes participating in a randomized cross-over study were assigned to monitor their blood glucose levels for a 3-month period using the Accu-Chek Mobile or the Freestyle Optium monitoring system and then to cross-over to the alternative device. After completion of the 6-month cross-over period, participants were invited to select their meter of choice and were followed for a further 3 months. RESULTS: SMBG frequency increased in both groups but participants monitored significantly more often using the Accu-Chek Mobile meter (frequency SMBG/week median: 19 vs. 10, P = 0.04). After 3 months using each meter, 77% of participants indicated a preference for the Accu-Chek Mobile meter. Monitoring frequency in this group remained higher than baseline during the 3-month post-cross-over follow-up period. CONCLUSION: Our results indicate that the Accu-Chek Mobile meter improves SMBG frequency. After experience of both systems, Accu-Chek Mobile was the meter of choice for the majority of participants in this study. FUNDING: Roche Diabetes Care Unconditional Education Grant.

Impact of sociodemographic and diabetes-related factors on the presence and severity of depression in immigrant chinese Australian people with diabetes.

The coexistence of depression with diabetes significantly increases the likelihood of developing complications. This study aimed to describe the presence and severity of depression in immigrant Chinese Australian people with diabetes and explore its relationship to sociodemographic and diabetes-related factors. This study found that approximately one-fifth of immigrant Chinese Australian people with diabetes had symptoms consistent with moderate to severe depression and that individuals who are socially isolated and have more complex treatment and complications of diabetes are particularly at risk.

Glycemic control and blood glucose monitoring over time in a sample of young Australians with type 1 diabetes: the role of personality.

OBJECTIVE: To determine whether personality traits (conscientiousness, agreeableness, emotional regulation, extraversion, and openness to experience) are associated with glycemic control and blood glucose monitoring behavior, and change or stability of these outcomes over time, in young people with type 1 diabetes. RESEARCH DESIGN AND METHODS: A 3-year longitudinal study was conducted using data from 142 individuals with type 1 diabetes, 8-19 years of age. Personality was assessed at baseline using the Five-Factor Personality Inventory for Children. Data relating to glycemic control (HbA1c) and frequency of blood glucose monitoring (based on meter memory) were collected annually. Relationships between personality traits and HbA1c and monitoring frequency were examined using regression models and mixed-design ANOVA. RESULTS: Three of the Five-Factor domains were independently associated with glycemic control. Individuals high in conscientiousness and agreeableness had a lower and more stable HbA1c across the 3-year study period. In contrast, the HbA1c of individuals scoring low on these traits was either consistently worse or deteriorated over time. Low or high emotional regulation scores were also associated with worse glycemic control. By the third year, these domains, together with initial HbA1c, accounted for 39% of HbA1c variance. Conscientiousness was the only personality factor associated with blood glucose monitoring behavior. CONCLUSIONS: Results of this study underline the importance of personality in contributing to diabetes outcomes. Attention to a young person's personality, and appropriate tailoring of diabetes management to ensure an individualized approach, may help to optimize diabetes outcomes.

Long-term complications and mortality in young-onset diabetes: type 2 diabetes is more hazardous and lethal than type 1 diabetes.

OBJECTIVE: To evaluate long-term clinical outcomes and survival in young-onset type 2 diabetes (T2DM) compared with type 1 diabetes (T1DM) with a similar age of onset. RESEARCH DESIGN AND METHODS: Records from the Royal Prince Alfred Hospital Diabetes Clinical Database, established in 1986, were matched with the Australian National Death Index to establish mortality outcomes for all subjects until June 2011. Clinical and mortality outcomes in 354 patients with T2DM, age of onset between 15 and 30 years (T2DM15-30), were compared with T1DM in several ways but primarily with 470 patients with T1DM with a similar age of onset (T1DM15-30) to minimize the confounding effect of age on outcome. RESULTS: For a median observation period of 21.4 (interquartile range 14-30.7) and 23.4 (15.7-32.4) years for the T2DM and T1DM cohorts, respectively, 71 of 824 patients (8.6%) died. A significant mortality excess was noted in T2DM15-30 (11 vs. 6.8%, P = 0.03), with an increased hazard for death (hazard ratio 2.0 [95% CI 1.2-3.2], P = 0.003). Death for T2DM15-30 occurred after a significantly shorter disease duration (26.9 [18.1-36.0] vs. 36.5 [24.4-45.4] years, P = 0.01) and at a relatively young age. There were more cardiovascular deaths in T2DM15-30 (50 vs. 30%, P < 0.05). Despite equivalent glycemic control and shorter disease duration, the prevalence of albuminuria and less favorable cardiovascular risk factors were greater in the T2DM15-30 cohort, even soon after diabetes onset. Neuropathy scores and macrovascular complications were also increased in T2DM15-30 (P < 0.0001). CONCLUSIONS: Young-onset T2DM is the more lethal phenotype of diabetes and is associated with a greater mortality, more diabetes complications, and unfavorable cardiovascular disease risk factors when compared with T1DM.

How best to use partial meal replacement in managing overweight or obese patients with poorly controlled type 2 diabetes.

OBJECTIVE: To compare patient compliance and benefits, over 12 months, of 1 versus 2 partial meal replacement (PMR) for the management of overweight/obese subjects with inadequately controlled type 2 diabetes. DESIGN AND METHODS: Thirty-six overweight patients with inadequately controlled type 2 diabetes (BMI > 27 kg/m(2) and HbA1c > 7.5% [58 mmol/mol]) were randomized to receive 1 or 2 PMR/day, while maintaining usual lifestyle. Subjects were seen monthly and adjustment of medications was made to prevent hypoglycemia. Compliance was assessed by counting unused sachets. RESULTS: Patients on 2 PMR/day lost almost 4 kg compared with only 0.5 kg in the 1 PMR/day group. This difference was statistically significant (P < 0.05). Overall PMR was about 30% as effective as in our previous study on total meal replacement. Reductions in weight, waist, and HbA1c were better in the 2 PMR/day group while patient dropout and compliance were not worse over a 12-month period. CONCLUSION: PMR provides a further management option for overweight/obese individuals with type 2 diabetes. The initial recommendation should be 2 PMR/day.

Steroid-induced diabetes: is it just unmasking of type 2 diabetes?

Aims. We compared the demographic profile and clinical characteristics of individuals with new onset steroid-induced diabetes (NOSID) to Type 2 diabetes (T2DM) patients with and without steroid treatment. Methods. The demographic profile and clinical characteristics of 60 individuals who developed NOSID were examined and matched to 60 type 2 diabetes patients receiving steroid therapy (T2DM+S) and 360 diabetic patients not on steroids (T2DM) for age, duration of diabetes, HbA1c, gender, and ethnicity. Results. Patients who developed NOSID had less family history of diabetes (P ≤ 0.05) and were less overweight (P ≤ 0.02). NOSID was more commonly treated with insulin. Despite a matching duration of diabetes and glycaemic control, significantly less retinopathy was found in the group of patients with NOSID (P < 0.03). Conclusions. It appears that steroid treatment primarily precipitated diabetes in a group of individuals otherwise less affected by risk factors of diabetes at that point in time, rather than just opportunistically unmasking preexisting diabetes. Furthermore, the absence of retinopathy suggests that patients with NOSID had not been exposed to long periods of hyperglycaemia. However, the impact of the underlying conditions necessitating steroid treatment and concomitant medications such as immunosuppressants on diabetes development remain to be defined.

Can common clinical parameters be used to identify patients who will need insulin treatment in gestational diabetes mellitus?

OBJECTIVE: To identify patients with gestational diabetes mellitus (GDM) who will need antenatal insulin treatment (AIT) by using a risk-prediction tool based on maternal clinical and biochemical characteristics at diagnosis. RESEARCH DESIGN AND METHODS: Data from 3,009 women attending the Royal Prince Alfred Hospital GDM Clinic, Australia, between 1995 and 2010 were studied. A risk engine was developed from significant factors identified for AIT using a logistic regression model. RESULTS: A total of 51% of GDM patients required AIT. Ethnicity, gestation at diagnosis, HbA(1c), fasting and 60-min glucose at oral glucose tolerance test, BMI, and diabetes family history were significant independent determinants of AIT. Notably, only 9% of the attributable risk for AIT can be explained by the clinical factors studied. A modeled risk-scoring system was therefore a poor predictor of AIT. CONCLUSIONS: Baseline maternal characteristics including HbA(1c) alone cannot predict the need for AIT in GDM. Lifestyle, compliance, or as yet unmeasured influences play a greater role in determining AIT.

Suboptimal performance of blood glucose meters in an antenatal diabetes clinic.

OBJECTIVE: The objective of this study was to evaluate the performance of blood glucose meters in diabetes associated with pregnancy (DP). RESEARCH DESIGN AND METHODS: Finger-prick blood glucose levels measured using six different glucose meters on 102 patients with DP attending an antenatal clinic were compared with laboratory plasma glucose results. HbA(1c) and hematocrit were also measured. RESULTS: The plasma glucose range was 2.2-9.4 mmol/L with hematocrit 33-37% and mean HbA(1c) 5.5% ± 0.56 (SD). All meters provided plasma equivalent results except one, which reported whole blood glucose that was adjusted to plasma equivalent values. The absolute glucose difference [meter--plasma glucose] was 0.232 ± 0.69 to 0.725 ± 0.62 mmol/L mean ± SD and bias ranged from 6.1 to 15.8%. Two meters were affected by hematocrit <36% (P < 0.05). CONCLUSIONS: Blood glucose meters in current use are not optimally accurate when compared with plasma glucose measurement in DP. Recognition of this deviation is essential to prevent inappropriate treatment of DP.

Timing is everything: age of onset influences long-term retinopathy risk in type 2 diabetes, independent of traditional risk factors.

OBJECTIVE: To test the hypothesis that age of type 2 diabetes onset influences inherent susceptibility to diabetic retinopathy, independent of disease duration and degree of hyperglycemia. RESEARCH DESIGN AND METHODS: Retinopathy data from 624 patients with a type 2 diabetes duration of 20-30 years (group A) were analyzed by stratifying patients according to age of onset of diabetes and glycemic control. Retinopathy status was scored clinically as per a modified Early Treatment Diabetic Retinopathy Study (ETDRS) severity scale. To obviate possible bias due to a higher attrition from comorbidities in those with later-onset diabetes and retinopathy, 852 patients with type 2 diabetes of shorter duration (10-12 years, group B) were similarly studied. RESULTS: Prevalence and severity of retinopathy was significantly higher in the younger-onset, group A patients. When further stratified according to mean A1C, retinopathy risk remained increased in younger-onset patients. The greatest impact was seen in those with a mean A1C >9% (odds ratio [OR] for retinopathy 16.6, 7.5, and 2.7 for age of diagnosis <45, 45-55, and >55 years, respectively, P = 0.003). By logistic regression, earlier type 2 diabetes onset is associated with increased retinopathy risk, independent of traditional risk factors (OR of retinopathy 1.9, 1.1, and 1 for age of onset <45, 45-55, and >55 years, respectively). Similar results were found in group B patients. CONCLUSIONS: These data suggest an increased inherent susceptibility to diabetic retinopathy with earlier-onset type 2 diabetes. This further supports the importance of delaying development of diabetes and also implies a need for more stringent metabolic targets for younger individuals.