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Aims/hypothesis: Pregnant women are advised to consume a minimum of 175 g per day of carbohydrate to meet maternal and fetal brain glucose requirements. This recommendation comes from a theoretical calculation of carbohydrate requirements in pregnancy, rather than from clinical data. This study aimed to determine whether fasting maternal ketone levels are associated with habitual carbohydrate intake in a subset of participants of the Study of PRobiotics IN Gestational diabetes (SPRING) randomised controlled trial., Methods: Food frequency questionnaires on dietary intake during pregnancy were completed by pregnant women with overweight or obesity at 28 weeks' gestation (considering their intake from the beginning of pregnancy). Dietary intake from early pregnancy through to 28 weeks was analysed for macronutrient intake. At the same time, overnight fasting serum samples were obtained and analysed for metabolic parameters including serum β-hydroxybutyrate, OGTTs, insulin and C-peptide., Results: Fasting serum β-hydroxybutyrate levels amongst 108 women (mean BMI 34.7 ± 6.3 kg/m 2 ) ranged from 22.2 to 296.5 μmol/l. Median fasting β-hydroxybutyrate levels were not different between women with high (median [IQR] 68.4 [49.1-109.2 μmol/l]) and low (65.4 [43.6-138.0 μmol/l]) carbohydrate intake in pregnancy. Fasting β-hydroxybutyrate levels were not correlated with habitual carbohydrate intake (median 155 [126-189] g/day). The only metabolic parameter with which fasting β-hydroxybutyrate levels were correlated was 1 h venous plasma glucose (ρ=0.23, p=0.03) during a 75 g OGTT., Conclusions/interpretation: Fasting serum β-hydroxybutyrate levels are not associated with habitual carbohydrate intake at 28 weeks' gestation in pregnant women with overweight and obesity., (© 2023. The Author(s).)

Aims: To estimate the prevalence of gestational diabetes mellitus (GDM) in a Danish cohort comparing the current Danish versus the WHO2013 diagnostic criteria, and to evaluate adverse pregnancy outcomes among currently untreated women in the gap between the diagnostic thresholds., Methods: Diagnostic testing was performed by a 75 g oral glucose tolerance test (OGTT) at 24-28 weeks' gestation in a cohort of pregnant women. GDM diagnosis was based on the current Danish criterion (2-h glucose ≥ 9.0 mmol/L, GDM DK ) and on the WHO2013 criteria (fasting ≥ 5.1, 1 h ≥ 10.0 or 2 h glucose ≥ 8.5 mmol/L, GDM WHO2013 ). Currently untreated women fulfilling the WHO2013 but not the Danish diagnostic criteria were defined as New-GDM-women (GDM WHO2013 -positive and GDM DK -negative). Adverse outcomes risks were calculated using logistic regression., Results: OGTT was completed by 465 women at a median of 25.7 weeks' gestation. GDM DK prevalence was 2.2% (N = 10) and GDM WHO2013 21.5% (N = 100). New-GDM was present in 19.4% (N = 90), of whom 90.0% had elevated fasting glucose. Pregnancies complicated by New-GDM had higher frequencies of pregnancy-induced hypertension (13.3% vs 4.1%, p = 0.002), large-for-gestational-age infants (22.2% vs 9.9%, p = 0.004), neonatal hypoglycaemia (8.9% vs 1.9%, p = 0.004) and neonatal intensive care unit admission (16.7% vs 5.8%, p = 0.002) compared to pregnancies without GDM., Conclusions: GDM prevalence increased tenfold when applying WHO2013 criteria in a Danish population, mainly driven by higher fasting glucose levels. Untreated GDM in the gap between the current Danish and the WHO2013 diagnostic criteria resulted in higher risks of adverse pregnancy outcomes., (© 2023. The Author(s).)

Aims: To evaluate the prevalence and time trends of gestational diabetes mellitus (GDM) across the five regions of Denmark with uniform national guidelines for screening and diagnosing GDM., Methods: This register-based national cohort study included 287,684 births from 2013 to 2017. Trends in GDM prevalence over time and differences between the five regions were evaluated. Crude and adjusted odd ratios (ORs) for GDM were calculated including potential confounding clinical risk factors as age, BMI, educational level, marital status, parity, country of origin and assisted reproduction., Results: From 2013 to 2017, GDM prevalence in Denmark increased by 7% per year (OR 1.07, 95% CI 1.06-1.09, P < 0.001). GDM prevalence varied considerably between regions and ranged from 3.0 to 5.9% in 2017, corresponding to a maximal regional difference of 97%. In crude analyses, the risk of GDM in 2017 was significantly different in four of five regions compared to the remaining regions (OR ranging from 0.60 to 1.55), and these differences persisted after adjusting for confounding clinical risk factors (adjusted OR: 0.59-1.45)., Conclusion: The prevalence of GDM increased over time in all Danish regions with substantial regional divergence. Up to a 97%, difference in GDM prevalence was observed between Danish regions, which was not explained by available clinical risk factors. This occurred despite national guidelines and raises the question of whether regional variations in screening efficacy, diagnostic procedures or inequality in clinical health care access may explain the observed differences., (© 2022. The Author(s).)

Aims/hypothesis: Gestational diabetes mellitus (GDM) is generally defined based on glycaemia during an OGTT, but aetiologically includes women with defects in insulin secretion, insulin sensitivity or a combination of both. In this observational study, we aimed to determine if underlying pathophysiological defects evaluated as continuous variables predict the risk of important obstetric and neonatal outcomes better than the previously used dichotomised or categorical approaches., Methods: Using data from blinded OGTTs at mean gestational week 28 from five Hyperglycemia and Adverse Pregnancy Outcome study centres, we estimated insulin secretion (Stumvoll first phase) and sensitivity (Matsuda index) and their product (oral disposition index [DI]) in 6337 untreated women (1090 [17.2%] with GDM as defined by the International Association of Diabetes and Pregnancy Study Groups). Rather than dichotomising these variables (i.e. GDM yes/no) or subtyping by insulin impairment, we related insulin secretion and sensitivity as continuous variables, along with other maternal characteristics, to obstetric and neonatal outcomes using multiple regression and receiver operating characteristic curve analysis., Results: Stratifying by GDM subtype offered superior prediction to GDM yes/no only for neonatal hyperinsulinaemia and pregnancy-related hypertension. Including the DI and the Matsuda score significantly increased the area under the receiver operating characteristic curve (AUROC) and improved prediction for multiple outcomes (large for gestational age [AUROC 0.632], neonatal adiposity [AUROC 0.630], pregnancy-related hypertension [AUROC 0.669] and neonatal hyperinsulinaemia [AUROC 0.688]). Neonatal hypoglycaemia was poorly predicted by all models. Combining the DI and the Matsuda score with maternal characteristics substantially improved the predictive power of the model for large for gestational age, neonatal adiposity and pregnancy-related hypertension., Conclusion/interpretation: Continuous measurement of insulin secretion and insulin sensitivity combined with basic clinical variables appeared to be superior to GDM (yes/no) or subtyping by insulin secretion and/or sensitivity impairment in predicting obstetric and neonatal outcomes in a multi-ethnic cohort. Graphical abstract.

Aims/hypothesis: Women with gestational diabetes mellitus (GDM) and obesity experience lower rates of breastfeeding. Little is known about breastfeeding among mothers with type 2 diabetes. Australian Indigenous women have a high prevalence of type 2 diabetes in pregnancy. We aimed to evaluate the association of hyperglycaemia, including type 2 diabetes, with breastfeeding outcomes., Methods: Indigenous (n = 495) and non-Indigenous (n = 555) participants of the Pregnancy And Neonatal Diabetes Outcomes in Remote Australia (PANDORA) cohort included women without hyperglycaemia in pregnancy (n = 222), with GDM (n = 684) and with type 2 diabetes (n = 144). The associations of hyperglycaemia in pregnancy and breastfeeding at hospital discharge, 6 weeks and 6 months post-partum were evaluated with logistic regression, after adjustment for maternal obesity, ethnicity, maternal and neonatal characteristics., Results: Indigenous women were more likely to predominantly breastfeed at 6 weeks across all levels of hyperglycaemia. Compared with women with no hyperglycaemia in pregnancy, women with type 2 diabetes had lower odds for exclusive breastfeeding at discharge (adjusted OR for exclusive breastfeeding 0.4 [95% CI 0.2, 0.8] p = 0.006). At 6 weeks and 6 months, the relationship between type 2 diabetes and predominant breastfeeding was not statistically significant (6 weeks 0.7 [0.3, 1.6] p = 0.40, 6 months 0.8 [0.4, 1.6] p = 0.60). Women with gestational diabetes were as likely to achieve predominant breastfeeding at 6 weeks and 6 months as women without hyperglycaemia in pregnancy., Conclusions/interpretation: Indigenous women had high rates of breastfeeding. Women with type 2 diabetes had difficulty establishing exclusive breastfeeding at hospital discharge. Further research is needed to assess the impact on long-term breastfeeding outcomes. Graphical abstract.

Aims/hypothesis: We aimed to assess associations between cord blood metabolic markers and fetal overgrowth, and whether cord markers mediated the impact of maternal adiposity on neonatal anthropometric outcomes among children born to Indigenous and Non-Indigenous Australian women with normal glucose tolerance (NGT), gestational diabetes mellitus (GDM) and pregestational type 2 diabetes mellitus., Methods: From the Pregnancy and Neonatal Outcomes in Remote Australia (PANDORA) study, an observational cohort of 1135 mother-baby pairs, venous cord blood was available for 645 singleton babies (49% Indigenous Australian) of women with NGT (n = 129), GDM (n = 419) and type 2 diabetes (n = 97). Cord glucose, triacylglycerol, HDL-cholesterol, C-reactive protein (CRP) and C-peptide were measured. Multivariable logistic and linear regression were used to assess the associations between cord blood metabolic markers and the outcomes of birthweight z score, sum of skinfold thickness (SSF), being large for gestational age (LGA) and percentage of body fat. Pathway analysis assessed whether cord markers mediated the associations between maternal and neonatal adiposity., Results: Elevated cord C-peptide was significantly associated with increasing birthweight z score (β 0.57 [95% CI 0.42, 0.71]), SSF (β 0.83 [95% CI 0.41, 1.25]), percentage of body fat (β 1.20 [95% CI 0.69, 1.71]) and risk for LGA [OR 3.14 [95% CI 2.11, 4.68]), after adjusting for age, ethnicity and diabetes type. Cord triacylglycerol was negatively associated with birthweight z score for Indigenous Australian women only. No associations between cord glucose, HDL-cholesterol and CRP >0.3 mg/l (2.9 nmol/l) with neonatal outcomes were observed. C-peptide mediated 18% (95% CI 13, 36) of the association of maternal BMI with LGA and 11% (95% CI 8, 17) of the association with per cent neonatal fat., Conclusions/interpretation: Cord blood C-peptide is an important mediator of the association between maternal and infant adiposity, across the spectrum of maternal glucose tolerance.

Aims/hypothesis: The aim of the study was to determine if a Beacon model of integrated care utilising general practitioners (GPs) with special interests could achieve similar clinical outcomes to a hospital-based specialist diabetes outpatient clinic., Methods: This pragmatic non-inferiority multisite randomised controlled trial assigned individuals with complex type 2 diabetes to care delivered by a Beacon clinic or to usual care delivered by a hospital outpatient department, in a 3:1 ratio. Owing to the nature of the study, researchers were only blinded during the allocation process. Eligible participants were aged 18 or over, had been referred by their usual GP to the hospital central referral hub with type 2 diabetes and had been triaged to be seen within 30 or 90 days. The intervention consisted of diabetes management in primary care by GPs with a special interest who had been upskilled in complex diabetes under the supervision of an endocrinologist. The primary outcome was HbA 1c at 12 months post-recruitment. The non-inferiority margin was 4.4 mmol/mol (0.4%). Both per-protocol and intention-to-treat analyses are reported., Results: Between 27 November 2012 and 14 July 2015, 352 individuals were recruited and 305 comprised the intention-to-treat sample (71 in usual care group and 234 in the Beacon model group). The Beacon model was non-inferior to usual care for both the per-protocol (difference -0.38 mmol/mol [95% CI -4.72, 3.96]; -0.03% [95% CI -0.43, 0.36]) and the intention-to-treat (difference -1.28 mmol/mol [95% CI -5.96, 3.40]; -0.12% [95% CI -0.55, 0.31]) analyses. Non-inferiority was sustained in a sensitivity analysis at 12 months. There were no statistically or clinically significant differences in the secondary outcomes of BP, lipids or quality of life as measured by the 12 item short-form health survey (SF-12v2) and the diabetes-related quality of life (DQoL-Brief) survey. Safety indicators did not differ between groups. Participant satisfaction on the eight-item client satisfaction questionnaire (CSQ-8) was good in both groups, but scores were significantly higher in the Beacon model group than the usual care group (mean [SD] 28.4 [4.9] vs 25.6 [4.9], respectively, p < 0.001)., Conclusions/interpretation: In individuals with type 2 diabetes, a model of integrated care delivered in the community by GPs with a special interest can safely achieve clinical outcomes that are not inferior to those achieved with gold-standard hospital-based specialist outpatient clinics. Individuals receiving care in the community had greater satisfaction. Further studies will determine the cost of delivering this model of care., Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12612000380897 FUNDING: The study was funded by the Australian National Health and Medical Research Council (GNT1001157).

Aims/hypothesis: We aimed to investigate the impact of maternal gestational weight gain (GWG) during dietary treatment on fetal growth in pregnancies complicated by gestational diabetes (GDM)., Methods: This was a retrospective cohort study of 382 women consecutively diagnosed with GDM before 34 weeks' gestation with live singleton births in our centre (Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark) between 2011 and 2017. The women were stratified into three groups according to restricted (53%), appropriate (16%) and excessive (31%) weekly GWG during dietary treatment (using the Institute of Medicine guidelines) to estimate compliance with an energy-restricted 'diabetes diet' (6000 kJ/day [1434 kcal/day], with approximately 50% of energy intake coming from carbohydrates with a low glycaemic index, and a carbohydrate intake of 175 g/day). Insulin therapy was initiated if necessary, according to local clinical guidelines., Results: Glucose tolerance, HbA 1c , weekly GWG before dietary treatment (difference between weight at GDM diagnosis and pre-pregnancy weight, divided by the number of weeks) and SD score for fetal abdominal circumference were comparable across the three groups at diagnosis of GDM at 27 6  ± 5 1  weeks (gestation time is given as weeks days ). The women were followed for 10 0  ± 5 1  weeks, during which 54% received supplementary insulin therapy and the average (mean) GWG during dietary treatment was 0 kg, 3 kg and 5 kg in the three groups, respectively. Excessive weekly GWG during dietary treatment, reflecting poor dietary adherence was associated with increasing HbA 1c (p = 0.014) from diagnosis of GDM to late pregnancy and infants with a birthweight-SD score of 0.59 ± 1.6. In contrast, restricted weekly GWG during dietary treatment, reflecting strict dietary adherence, was associated with decreasing HbA 1c (p = 0.001) from diagnosis of GDM to late pregnancy and infants with a birthweight-SD score of 0.15 ± 1.1, without increased prevalence of infants born small for gestational age. Excessive GWG during dietary treatment and late-pregnancy HbA 1c were identified as potentially modifiable clinical predictors of infant birthweight-SD score (p = 0.02 for both variables) after correction for confounders., Conclusions/interpretation: Restricted GWG during dietary treatment was associated with healthier fetal growth in women with GDM. GWG during dietary treatment and late-pregnancy HbA 1c were identified as potentially modifiable clinical predictors of infant birthweight-SD score.

Aim: It is unclear whether any breastfeeding or a certain duration of breastfeeding is protective against the development of diabetes in adult offspring., Methods: We followed a sub-sample of 3,595 offspring born in the Mater Hospital in Brisbane, Australia between 1981 and 1983 and for whom we had doctor diagnosed self-reported diabetes at age 21 years and maternal reported duration of breastfeeding at 6-month post-natal follow-up. Multiple logistic regression was used to examine the independent associations of duration of breastfeeding (never breastfeed, breastfed <4 months and breastfed ≥4 months) with offspring diabetes by age 21 years., Results: Of 3,595 young adults, 45 (1.25 %) developed diabetes by age 21 years. The odds ratio of experiencing diabetes was 0.58 (95 % CI 0.29, 1.16) for offspring who were breastfed <4 months, and it was 0.29 (95 % CI 0.13, 0.63), for offspring who were breastfed at least 4 months compared to the never breastfed offspring. Adjusting for potential confounding and mediating factors including maternal age, education, pre-pregnancy body mass index (BMI), smoking, offspring sports, TV and their BMI at 21 years did not substantially alter this association., Conclusions: Findings of this study suggest that infants who are breastfed for longer than 4 months have a substantial protective effect against the development of diabetes in young adulthood, which is independent of current BMI. Promoting breastfeeding for a minimum of 4 months may be a useful strategy for the prevention of diabetes among young adults.