Postpartum uptake of diabetes screening tests in women with gestational diabetes: The PANDORA study.

AIMS: To determine rates and predictors of postpartum diabetes screening among Aboriginal and/or Torres Strait Islander and non-Indigenous women with gestational diabetes mellitus (GDM). METHODS: PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Postpartum diabetes screening rates at 12 weeks (75-g oral glucose tolerance test (OGTT)) and 6, 12 and 18 months (OGTT, glycated haemoglobin [HbA1C ] or fasting plasma glucose) were assessed for women with GDM (n = 712). Associations between antenatal factors and screening with any test (OGTT, HbA1C , fasting plasma glucose) by 6 months postpartum were examined using Cox proportional hazards regression. RESULTS: Postpartum screening rates with an OGTT by 12 weeks and 6 months postpartum were lower among Aboriginal and/or Torres Strait Islander women than non-Indigenous women (18% vs. 30% at 12 weeks, and 23% vs. 37% at 6 months, p < 0.001). Aboriginal and/or Torres Strait Islander women were more likely to have completed a 6-month HbA1C compared to non-Indigenous women (16% vs. 2%, p < 0.001). Screening by 6 months postpartum with any test was 41% for Aboriginal and/or Torres Strait Islander women and 45% for non-Indigenous women (p = 0.304). Characteristics associated with higher screening rates with any test by 6 months postpartum included, insulin use in pregnancy, first pregnancy, not smoking and lower BMI. CONCLUSIONS: Given very high rates of type 2 diabetes among Aboriginal and Torres Strait Islander women, early postpartum screening with the most feasible test should be prioritised to detect prediabetes and diabetes for intervention.

Type 2 diabetes after a pregnancy with gestational diabetes among first nations women in Australia: The PANDORA study.

AIMS: To determine among First Nations and Europid pregnant women the cumulative incidence and predictors of postpartum type 2 diabetes and prediabetes and describe postpartum cardiovascular disease (CVD) risk profiles. METHODS: PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Ethnic-specific rates of postpartum type 2 diabetes and prediabetes were reported for women with diabetes in pregnancy (DIP), gestational diabetes (GDM) or normoglycaemia in pregnancy over a short follow-up of 2.5 years (n = 325). Pregnancy characteristics and CVD risk profiles according to glycaemic status, and factors associated with postpartum diabetes/prediabetes were examined in First Nations women. RESULTS: The cumulative incidence of postpartum type 2 diabetes among women with DIP or GDM were higher for First Nations women (48%, 13/27, women with DIP, 13%, 11/82, GDM), compared to Europid women (nil DIP or GDM p < 0.001). Characteristics associated with type 2 diabetes/prediabetes among First Nations women with GDM/DIP included, older age, multiparity, family history of diabetes, higher glucose values, insulin use and body mass index (BMI). CONCLUSIONS: First Nations women experience a high incidence of postpartum type 2 diabetes after GDM/DIP, highlighting the need for culturally responsive policies at an individual and systems level, to prevent diabetes and its complications.

The ADIPS Pilot National Diabetes in Pregnancy Benchmarking Programme.

BACKGROUND: To test the feasibility of benchmarking the care of women with pregnancies complicated by hyperglycaemia. METHODS: A retrospective audit of volunteer diabetes services in Australia and New Zealand involving singleton pregnancies resulting in live births between 2014 and 2020. Ranges are shown and compared across services. RESULTS: The audit included 10,144 pregnancies (gestational diabetes mellitus (GDM) = 8696; type 1 diabetes (T1D) = 435; type 2 diabetes (T2D) = 1013) from 11 diabetes services. Among women with GDM, diet alone was used in 39.4% (ranging among centres from 28.8-57.3%), metformin alone in 18.8% (0.4-43.7%), and metformin and insulin in 10.1% (1.5-23.4%); when compared between sites, all p < 0.001. Birth was by elective caesarean in 12.1% (3.6-23.7%) or emergency caesarean in 9.5% (3.5-21.2%) (all p < 0.001). Preterm births (<37 weeks) ranged from 3.7% to 9.4% (p < 0.05), large for gestational age 10.3-26.7% (p < 0.001), admission to special care nursery 16.7-25.0% (p < 0.001), and neonatal hypoglycaemia (<2.6 mmol/L) 6.0-27.0% (p < 0.001). Many women with T1D and T2D had limited pregnancy planning including first trimester hyperglycaemia (HbA1c > 6.5% (48 mmol/mol)), 78.4% and 54.6%, respectively (p < 0.001). CONCLUSION: Management of maternal hyperglycaemia and pregnancy outcomes varied significantly. The maintenance and extension of this benchmarking service provides opportunities to identify policy and clinical approaches to improve pregnancy outcomes among women with hyperglycaemia in pregnancy.

Maternal and perinatal outcomes by planned place of birth in Australia 2000 - 2012: a linked population data study.

OBJECTIVE: To compare perinatal and maternal outcomes for Australian women with uncomplicated pregnancies according to planned place of birth, that is, in hospital labour wards, birth centres or at home. DESIGN: A population-based retrospective design, linking and analysing routinely collected electronic data. Analysis comprised χ2 tests and binary logistic regression for categorical data, yielding adjusted ORs. Continuous data were analysed using analysis of variance. SETTING: All eight Australian states and territories. PARTICIPANTS: Women with uncomplicated pregnancies who gave birth between 2000 and 2012 to a singleton baby in cephalic presentation at between 37 and 41 completed weeks' gestation. Of the 1 251 420 births, 1 171 703 (93.6%) were planned in hospital labour wards, 71 505 (5.7%) in birth centres and 8212 (0.7%) at home. MAIN OUTCOME MEASURES: Mode of birth, normal labour and birth, interventions and procedures during labour and birth, maternal complications, admission to special care/high dependency or intensive care units (mother or infant) and perinatal mortality (intrapartum stillbirth and neonatal death). RESULTS: Compared with planned hospital births, the odds of normal labour and birth were over twice as high in planned birth centre births (adjusted OR (AOR) 2.72; 99% CI 2.63 to 2.81) and nearly six times as high in planned home births (AOR 5.91; 99% CI 5.15 to 6.78). There were no statistically significant differences in the proportion of intrapartum stillbirths, early or late neonatal deaths between the three planned places of birth. CONCLUSIONS: This is the first Australia-wide study to examine outcomes by planned place of birth. For healthy women in Australia having an uncomplicated pregnancy, planned births in birth centres or at home are associated with positive maternal outcomes although the number of homebirths was small overall. There were no significant differences in the perinatal mortality rate, although the absolute numbers of deaths were very small and therefore firm conclusions cannot be drawn about perinatal mortality outcomes.

Seasonality, temperature and pregnancy oral glucose tolerance test results in Australia.

BACKGROUND: The oral glucose-tolerance test (OGTT) is currently the standard method for diagnosis of gestational diabetes (GDM). We conducted a post hoc analysis using the Australian Hyperglycemia and Adverse Pregnancy Outcome (HAPO) data to determine seasonal variations in OGTT results, the consequent prevalence of GDM, and association with select perinatal parameters. METHOD: Women enrolled in the Australian HAPO study sites (Brisbane and Newcastle) from 2001 to 2006 were included if OGTT results between 24 to 32 weeks gestation were available (n = 2120). Fasting plasma glucose, 1-h plasma glucose, 2-h plasma glucose, HbA1c, HOMA-IR, and umbilical cord C-peptide and glucose values were categorized by season and correlated to monthly temperature records from the Australian Bureau of Meteorology for Brisbane and Newcastle. GDM was defined post hoc using the IADPSG/WHO criteria. RESULTS: Small but significant (p <  0.01 on ANOVA) elevations in fasting glucose (+ 0.12 mM), HbA1c (+ 0.09%), and HOMA-IR (+ 0.88 units) were observed during the winter months. Conversely, higher 1-h (+ 0.19 mM) and 2-h (+ 0.33 mM) post-load glucose values (both p <  0.01) were observed during the summer months. The correlations between fasting glucose, 1-h glucose, 2-h glucose, and HbA1c with average monthly temperatures confirmed this trend, with positive Pearson's correlations between 1-h and 2-h glucose with increasing average monthly temperatures, and negative correlations with fasting glucose and HbA1c. Further, umbilical cord C-peptide and glucose displayed negative Pearson's correlation with average monthly temperature, aligned with trends seen in the fasting plasma glucose. Overall prevalence of GDM did not display significant seasonal variations due to the opposing trends seen in the fasting versus 1-h and 2-h post-load values. CONCLUSION: A significant winter increase was observed for fasting plasma glucose, HbA1c, and HOMA-IR, which contrasted with changes in 1-h and 2-h post-load venous plasma glucose values. Interestingly, umbilical cord C-peptide and glucose displayed similar trends to that of the fasting plasma glucose. While overall prevalence of GDM did not vary significantly by seasons, this study illustrates that seasonality is indeed an additional factor when interpreting OGTT results for the diagnosis of GDM and provides new direction for future research into the seasonal adjustment of OGTT results.

Obstetric anal sphincter injuries among women with gestational diabetes and women without gestational diabetes: A NSW population-based cohort study.

BACKGROUND: Obstetric anal sphincter injuries (OASIs) are associated with maternal morbidity; however, it is uncertain whether gestational diabetes (GDM) is an independent risk factor when considering birthweight mode of birth and episiotomy. AIMS: To compare rates of OASIs between women with GDM and women without GDM by mode of birth and birthweight. To investigate the association between episiotomy, mode of birth and the risk of OASIs. METHODS: A population-based cohort study of women who gave birth vaginally in NSW, from 2007 to 2013. Rates of OASIs were compared between women with and without GDM, stratified by mode of birth, birthweight and a multi-categorical variable of mode of birth and episiotomy. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were calculated by multivariable logistic regression. RESULTS: The rate of OASIs was 3.6% (95% CI: 2.6-2.7) vs 2.6% (95% CI: 3.4-2.8; P < 0.001) among women with and without GDM, respectively. Women with GDM and a macrosomic baby (birthweight ≥ 4000 g) had a higher risk of OASIs with forceps (aOR 1.76, 95% CI: 1.08-2.86, P = 0.02) or vacuum (aOR 1.89, 95% CI: 1.17-3.04, P = 0.01), compared with those without GDM. For primiparous women with GDM and all women without GDM, an episiotomy with forceps was associated with lower odds of OASIs than forceps only (primiparous GDM, forceps-episiotomy aOR 2.49, 95% CI: 2.00-3.11, forceps aOR 5.30, 95% CI: 3.72-7.54), (primiparous without GDM, forceps-episiotomy aOR 2.71, 95% CI: 2.55-2.89, forceps aOR 5.95, 95% CI: 5.41-6.55) and (multiparous without GDM, forceps-episiotomy aOR 3.75, 95% CI: 3.12-4.50, forceps aOR 6.20, 95% CI: 4.96-7.74). CONCLUSION: Women with GDM and a macrosomic baby should be counselled about the increased risk of OASIs with both vacuum and forceps. With forceps birth, this risk can be partially mitigated by performing a concomitant episiotomy.

Reprint of "Development of a risk engine relating maternal glycemia and body mass index to pregnancy outcomes".

AIMS: To develop a risk "engine" or calculator, integrating the risks of hyperglycemia, maternal BMI and other basic demographic data commonly available at the time of the pregnancy oral glucose tolerance test (OGTT), to predict an individual's absolute risk of specific adverse pregnancy outcomes. METHODS: Data from the Brisbane HAPO cohort was analysed using logistic regression to determine the relationship between four clinical outcomes (primary CS, birth injury, large-for-gestational age, excess neonatal adiposity) with different combinations of OGTT results and maternal demographics (age, height, BMI, parity). Existing sets of international GDM diagnostic criteria were also applied to the cohort. RESULTS: 191 (15.3%) women were diagnosed as GDM by one or more existing criteria. All international criteria performed poorly compared to risk models utilising OGTT results only, or OGTT results in combination with maternal demographics. CONCLUSIONS: The risk engine's empirical performance on receiver - operator curve analysis was superior to the existing GDM diagnostic criteria tested. This concept shows promise for use in clinical practice, but further development is required.

Results of the first recorded evaluation of a national gestational diabetes mellitus register: Challenges in screening, registration, and follow-up for diabetes risk.

OBJECTIVE: Gestational Diabetes Mellitus (GDM) increases the risk of type 2 diabetes. A register can be used to follow-up high risk women for early intervention to prevent progression to type 2 diabetes. We evaluate the performance of the world's first national gestational diabetes register. RESEARCH DESIGN AND METHODS: Observational study that used data linkage to merge: (1) pathology data from the Australian states of Victoria (VIC) and South Australia (SA); (2) birth records from the Consultative Council on Obstetric and Paediatric Mortality and Morbidity (CCOPMM, VIC) and the South Australian Perinatal Statistics Collection (SAPSC, SA); (3) GDM and type 2 diabetes register data from the National Gestational Diabetes Register (NGDR). All pregnancies registered on CCOPMM and SAPSC for 2012 and 2013 were included-other data back to 2008 were used to support the analyses. Rates of screening for GDM, rates of registration on the NGDR, and rates of follow-up laboratory screening for type 2 diabetes are reported. RESULTS: Estimated GDM screening rates were 86% in SA and 97% in VIC. Rates of registration on the NGDR ranged from 73% in SA (2013) to 91% in VIC (2013). During the study period rates of screening at six weeks postpartum ranged from 43% in SA (2012) to 58% in VIC (2013). There was little evidence of recall letters resulting in screening 12 months follow-up. CONCLUSIONS: GDM Screening and NGDR registration was effective in Australia. Recall by mail-out to young mothers and their GP's for type 2 diabetes follow-up testing proved ineffective.

Neonatal outcomes of live-born term singletons in vertex presentation born to mothers with diabetes during pregnancy by mode of birth: a New South Wales population-based retrospective cohort study.

OBJECTIVES: To investigate the association between the mode of birth and adverse neonatal outcomes of macrosomic (birth weight ≥4000 g) and non-macrosomic (birth weight <4000 g) live-born term singletons in vertex presentation (TSV) born to mothers with diabetes (pre-existing and gestational diabetes mellitus (GDM)). DESIGN: A population-based retrospective cohort study. SETTING: New South Wales, Australia. PATIENTS: All live-born TSV born to mothers with diabetes from 2002 to 2012. INTERVENTION: Comparison of neonatal outcomes by mode of birth (prelabour caesarean section (CS) and planned vaginal birth resulted in intrapartum CS, non-instrumental or instrumental vaginal birth). MAIN OUTCOME MEASURES: Five-minute Apgar score <7, admission to neonatal intensive care unit (NICU) or special care nursery (SCN) and the need for resuscitation. RESULTS: Among the 48 882 TSV born to mothers with diabetes, prelabour CS was associated with a significant increase in the rate of admission to NICU/SCN compared with planned vaginal birth.For TSV born to mothers with pre-existing diabetes, compared with non-instrumental vaginal birth, instrumental vaginal birth was associated with increased odds of the need for resuscitation in macrosomic (adjusted ORs (AOR) 2.6; 95% CI (1.2 to 7.5)) and non-macrosomic TSV (AOR 3.3; 95% CI (2.2 to 5.0)).For TSV born to mothers with GDM, intrapartum CS was associated with increased odds of the need for resuscitation compared with non-instrumental vaginal birth in non-macrosomic TSV (AOR 2.3; 95% CI (2.1 to 2.7)). Instrumental vaginal birth was associated with increased likelihood of requiring resuscitation compared with non-instrumental vaginal birth for both macrosomic (AOR 2.3; 95% CI (1.7 to 3.1)) and non-macrosomic (AOR 2.5; 95% CI (2.2 to 2.9)) TSV. CONCLUSION: Pregnant women with diabetes, particularly those with suspected fetal macrosomia, need to be aware of the increased likelihood of adverse neonatal outcomes following instrumental vaginal birth and intrapartum CS when planning mode of birth.

Development of a risk engine relating maternal glycemia and body mass index to pregnancy outcomes.

AIMS: To develop a risk "engine" or calculator, integrating the risks of hyperglycemia, maternal BMI and other basic demographic data commonly available at the time of the pregnancy oral glucose tolerance test (OGTT), to predict an individual's absolute risk of specific adverse pregnancy outcomes. METHODS: Data from the Brisbane HAPO cohort was analysed using logistic regression to determine the relationship between four clinical outcomes (primary CS, birth injury, large-for-gestational age, excess neonatal adiposity) with different combinations of OGTT results and maternal demographics (age, height, BMI, parity). Existing sets of international GDM diagnostic criteria were also applied to the cohort. RESULTS: 191 (15.3%) women were diagnosed as GDM by one or more existing criteria. All international criteria performed poorly compared to risk models utilising OGTT results only, or OGTT results in combination with maternal demographics. CONCLUSIONS: The risk engine's empirical performance on receiver - operator curve analysis was superior to the existing GDM diagnostic criteria tested. This concept shows promise for use in clinical practice, but further development is required.

Cesarean section and diabetes during pregnancy: An NSW population study using the Robson classification.

AIM: The aim of this study was to identify the main contributors to cesarean section (CS) among women with and without diabetes during pregnancy using the Robson classification and to compare CS rates within Robson groups. METHODS: A population-based cohort study was conducted of all women who gave birth in New South Wales, Australia, between 2002 and 2012. Women with pregestational diabetes (types 1 and 2) and gestational diabetes mellitus (GDM) were grouped using the Robson classification. Adjusted odd ratios (AOR) and 95% confidence intervals (CI) were calculated using multivariable logistic regression. RESULTS: The total CS rate was 53.6% for women with pregestational diabetes, 36.8% for women with GDM and 28.5% for women without diabetes. Previous CS contributed the most to the total number of CS in all populations. For preterm birth, the contribution to the total was 20.5% for women with pregestational diabetes and 5.7% for women without diabetes. Compared to women without diabetes, for nulliparous with pregestational diabetes, the odds of CS was 1.4 (95% CI, 1.1-1.8) for spontaneous labor and 2.0 (95% CI, 1.7-2.3) for induction of labor. CONCLUSION: A history of CS was the main contributor to the total CS. Reducing primary CS is the first step to lowering the high rate of CS among women with diabetes. Nulliparous women were more likely to have CS if they had pregestational diabetes. This increase was also evident in all multiparous women giving birth. The high rate of preterm births and CS reflects the clinical issues for women with diabetes during pregnancy.

Maternal and Neonatal Morbidity for Women Who Would Be Added to the Diagnosis of GDM Using IADPSG Criteria: A Secondary Analysis of the Hyperglycemia and Adverse Pregnancy Outcome Study.

OBJECTIVE: To assess the frequency of adverse outcomes for women who are diagnosed with gestational diabetes mellitus (GDM) by the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria using data from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study. RESEARCH DESIGN AND METHODS: This is a secondary analysis from the North American HAPO study centers. Glucose measurements from a 75-g oral glucose tolerance test were used to group participants into three nonoverlapping categories: GDM based on Carpenter-Coustan (CC) criteria (also GDM based on IADPSG criteria), GDM diagnosed based on IADPSG criteria but not CC criteria, and no GDM. Newborn outcomes included birth weight, cord C-peptide, and newborn percentage fat above the 90th percentile; maternal outcomes included primary cesarean delivery and preeclampsia. Outcome frequencies were compared using multiple logistic regression, adjusting for predefined covariates. RESULTS: Among 25,505 HAPO study participants, 6,159 blinded participants from North American centers were included. Of these, 81% had normal glucose testing, 4.2% had GDM based on CC criteria, and 14.3% had GDM based on IADPSG criteria but not CC criteria. Compared with women with no GDM, those diagnosed with GDM based on IADPSG criteria had adjusted odds ratios (95% CIs) for birth weight, cord C-peptide, and newborn percentage fat above the 90th percentile, as well as primary cesarean delivery and preeclampsia, of 1.87 (1.50-2.34), 2.00 (1.54-2.58), 1.73 (1.35-2.23), 1.31 (1.07-1.60), and 1.73 (1.32-2.27), respectively. CONCLUSIONS: Women diagnosed with GDM based on IADPSG criteria had higher adverse outcome frequencies compared with women with no GDM. These data underscore the need for research to assess the effect of treatment to improve outcomes in such women.

Mothers after Gestational Diabetes in Australia (MAGDA): A Randomised Controlled Trial of a Postnatal Diabetes Prevention Program.

BACKGROUND: Gestational diabetes mellitus (GDM) is an increasingly prevalent risk factor for type 2 diabetes. We evaluated the effectiveness of a group-based lifestyle modification program in mothers with prior GDM within their first postnatal year. METHODS AND FINDINGS: In this study, 573 women were randomised to either the intervention (n = 284) or usual care (n = 289). At baseline, 10% had impaired glucose tolerance and 2% impaired fasting glucose. The diabetes prevention intervention comprised one individual session, five group sessions, and two telephone sessions. Primary outcomes were changes in diabetes risk factors (weight, waist circumference, and fasting blood glucose), and secondary outcomes included achievement of lifestyle modification goals and changes in depression score and cardiovascular disease risk factors. The mean changes (intention-to-treat [ITT] analysis) over 12 mo were as follows: -0.23 kg body weight in intervention group (95% CI -0.89, 0.43) compared with +0.72 kg in usual care group (95% CI 0.09, 1.35) (change difference -0.95 kg, 95% CI -1.87, -0.04; group by treatment interaction p = 0.04); -2.24 cm waist measurement in intervention group (95% CI -3.01, -1.42) compared with -1.74 cm in usual care group (95% CI -2.52, -0.96) (change difference -0.50 cm, 95% CI -1.63, 0.63; group by treatment interaction p = 0.389); and +0.18 mmol/l fasting blood glucose in intervention group (95% CI 0.11, 0.24) compared with +0.22 mmol/l in usual care group (95% CI 0.16, 0.29) (change difference -0.05 mmol/l, 95% CI -0.14, 0.05; group by treatment interaction p = 0.331). Only 10% of women attended all sessions, 53% attended one individual and at least one group session, and 34% attended no sessions. Loss to follow-up was 27% and 21% for the intervention and control groups, respectively, primarily due to subsequent pregnancies. Study limitations include low exposure to the full intervention and glucose metabolism profiles being near normal at baseline. CONCLUSIONS: Although a 1-kg weight difference has the potential to be significant for reducing diabetes risk, the level of engagement during the first postnatal year was low. Further research is needed to improve engagement, including participant involvement in study design; it is potentially more effective to implement annual diabetes screening until women develop prediabetes before offering an intervention. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12610000338066.

Type 2 diabetes after gestational diabetes: greater than fourfold risk among Indigenous compared with non-Indigenous Australian women.

BACKGROUND: Gestational diabetes is associated with a high risk of type 2 diabetes. However, progression rates among Indigenous women in Australia who experience high prevalence of gestational diabetes are unknown. METHODS: This retrospective cohort study includes all births to women at a regional hospital in Far North Queensland, Australia, coded as having 'gestational diabetes' from 1 January 2004 to 31 December 2010 (1098 births) and receiving laboratory postpartum screening from 1 January 2004 to 31 December 2011 (n = 483 births). Women who did not receive postpartum screening were excluded from the denominator. Data were linked between hospital electronic records, routinely collected birth data and laboratories, with sample validation by reviews of medical records. Analysis was conducted using Cox-proportional regression models. RESULTS: Indigenous women had a greater than fourfold risk of developing type 2 diabetes within 8 years of having gestational diabetes, compared with non-Indigenous women (hazards ratio 4.55, 95% confidence interval 2.63-7.88, p < 0.0001). Among women receiving postpartum screening tests, by 3, 5 and 7 years postpartum, 21.9% (15.8-30.0%), 25.5% (18.6-34.3%) and 42.4% (29.6-58.0%) Indigenous women were diagnosed with type 2 diabetes after gestational diabetes, respectively, compared with 4.2% (2.5-7.2%), 5.7% (3.3-9.5%) and 13.5% (7.3-24.2%) non-Indigenous women. Multivariate analysis showed an increased risk of developing type 2 diabetes among women with an early pregnancy body mass index ≥25 kg/m(2) , only partially breastfeeding at hospital discharge and gestational diabetes diagnosis prior to 17 weeks gestation. CONCLUSIONS: This study demonstrates that, compared with non-Indigenous women, Indigenous Australian women have a greater than fourfold risk of developing type 2 diabetes after gestational diabetes. Strategies are urgently needed to reduce rates of type 2 diabetes by supporting a healthy weight and breastfeeding and to improve postpartum screening among Indigenous women with gestational diabetes. Copyright © 2015 John Wiley & Sons, Ltd.

Diabetes in pregnancy outcomes: a systematic review and proposed codification of definitions.

Rising rates of diabetes in pregnancy have led to an escalation in research in this area. As in any area of clinical research, definitions of outcomes vary from study to study, making it difficult to compare research findings and draw conclusions. Our aim was to compile and create a repository of definitions, which could then be used universally. A systematic review of the literature was performed on published and ongoing randomized controlled trials in the area of diabetes in pregnancy between 01 Jan 2000 and 01 Jun 2012. Other sources included the World Health Organization and Academic Society Statements. The advice of experts was sought when appropriate definitions were lacking. Among the published randomized controlled trials on diabetes and pregnancy, 171 abstracts were retrieved, 64 full texts were reviewed and 53 were included. Among the ongoing randomized controlled trials published in ClinicalTrials.gov, 90 protocols were retrieved and 25 were finally included. The definitions from these were assembled and the final maternal definitions and foetal definitions were agreed upon by consensus. It is our hope that the definitions we have provided (i) will be widely used in the reporting of future studies in the area of diabetes in pregnancy, that they will (ii) facilitate future systematic reviews and formal meta analyses and (iii) ultimately improve outcomes for mothers and babies.

Identifying maternity services in public hospitals in rural and remote Australia.

OBJECTIVE: This paper articulates the importance of accurately identifying maternity services. It describes the process and challenges of identifying the number, level and networks of rural and remote maternity services in public hospitals serving communities of between 1000 and 25000 people across Australia, and presents the findings of this process. METHODS: Health departments and the national government's websites, along with lists of public hospitals, were used to identify all rural and remote Australian public hospitals offering maternity services in small towns. State perinatal reports were reviewed to establish numbers of births by hospital. The level of maternity services and networks of hospitals within which services functioned were determined via discussion with senior jurisdictional representatives. RESULTS: In all, 198 rural and remote public hospitals offering maternity services were identified. There were challenges in sourcing information on maternity services to generate an accurate national picture. The nature of information about maternity services held centrally by jurisdictions varied, and different frameworks were used to describe minimum requirements for service levels. Service networks appeared to be based on a combination of individual links, geography and transport infrastructure. CONCLUSIONS: The lack of readily available centralised and comparable information on rural and remote maternity services has implications for policy review and development, equity, safety and quality, network development and planning. Accountability for services and capacity to identify problems is also compromised.

Birthplace in New South Wales, Australia: an analysis of perinatal outcomes using routinely collected data.

BACKGROUND: The outcomes for women who give birth in hospital compared with at home are the subject of ongoing debate. We aimed to determine whether a retrospective linked data study using routinely collected data was a viable means to compare perinatal and maternal outcomes and interventions in labour by planned place of birth at the onset of labour in one Australian state. METHODS: A population-based cohort study was undertaken using routinely collected linked data from the New South Wales Perinatal Data Collection, Admitted Patient Data Collection, Register of Congenital Conditions, Registry of Birth Deaths and Marriages and the Australian Bureau of Statistics. Eight years of data provided a sample size of 258,161 full-term women and their infants. The primary outcome was a composite outcome of neonatal mortality and morbidity as used in the Birthplace in England study. RESULTS: Women who planned to give birth in a birth centre or at home were significantly more likely to have a normal labour and birth compared with women in the labour ward group. There were no statistically significant differences in stillbirth and early neonatal deaths between the three groups, although we had insufficient statistical power to test reliably for these differences. CONCLUSION: This study provides information to assist the development and evaluation of different places of birth across Australia. It is feasible to examine perinatal and maternal outcomes by planned place of birth using routinely collected linked data, although very large data sets will be required to measure rare outcomes associated with place of birth in a low risk population, especially in countries like Australia where homebirth rates are low.

Prevalence of gestational diabetes mellitus among Indigenous women and comparison with non-Indigenous Australian women: 1990-2009.

BACKGROUND: Evidence on long-term trends in gestational diabetes mellitus (GDM) prevalence in Australia is lacking. AIMS: To assess and compare trends in GDM prevalence among Indigenous and non-Indigenous Australian women. MATERIALS AND METHODS: Analysis of crude and age-adjusted GDM prevalence over time by Indigenous status and age, using routinely collected midwives data from Australian states and territories on mothers giving birth from 1990 to 2009. RESULTS: Despite considerable data variation, particularly in 1990-1999, and likely underestimation of GDM prevalence, crude and age-adjusted GDM prevalences were higher in Indigenous than non-Indigenous women at all time-points (4.7% vs 3.1% in 1990-1999; 5.1% vs 4.5% in 2000-2009, P < 0.0001). Data variability precluded quantitative assessment of trends and changes in prevalence ratios before 2000. From 2000 to 2009, GDM prevalence increased significantly among Indigenous women by a mean 2.6% annually (Ptrend <0.0001), and non-Indigenous women by 3.2% annually (Ptrend <0.0001), with no significant trend in the age-adjusted Indigenous/non-Indigenous prevalence ratios (PR) (P = 0.34). GDM prevalence increased significantly with age (P < 0.0001), although the increase with age was significantly greater among Indigenous women (PR 5.34 (4.94-5.77), ≥35 vs <25 years) compared to non-Indigenous women (PR 3.72 (3.64-3.81), ≥35 vs <25 years), Pinteraction <0.0001. CONCLUSIONS: Bearing data quality concerns in mind, GDM prevalence is increasing rapidly among Australian women, more than doubling in non-Indigenous women between 1990 and 2009. Prevalence is consistently higher in Indigenous versus non-Indigenous women, with statistically consistent differences between the groups in recent years. The marked increase in prevalence with age highlights an important period for prevention, particularly for Indigenous women.