Abstract
Gestational diabetes is a heterogeneous disorder. Various metabolic etiologies underpin the diagnosis and influence perinatal outcomes as well as an individual’s propensity for the subsequent development of diabetes. Recent landmark studies have driven a review of the diagnostic criteria for gestational diabetes, with an emergent category, “overt diabetes during pregnancy,” recognizing the increased surveillance required for some women. As we strive for consensus in diagnosis at a global level, consideration for its application to local populations, with different ethnicities, genetics, and immunological make-up, is essential to optimize obstetric care and neonatal outcomes. An individualized approach must remain the mainstay of management.
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Introduction
Gestational diabetes (GDM) is classically defined as any degree of hyperglycemia or glucose intolerance with onset or first recognition during pregnancy [1]. This definition stems from O’Sullivan and Mahan’s proposed concept for GDM in 1964, whereby women with glucose levels on an oral glucose tolerance test (OGTT) above the proposed pregnancy thresholds were at increased risk for subsequent diabetes [2]. However, identification and treatment of GDM also are essential to reduce adverse perinatal outcomes and to improve maternal morbidity.
It is increasingly recognized that GDM is a heterogeneous disorder, embracing women with varying degrees of hyperglycemia and different patterns of glucose intolerance. The metabolic abnormalities underpinning the diagnosis are varied, as is the associated pregnancy risk. Some women will have type 1 diabetes or type 2 diabetes, which either develops or is first recognized during pregnancy. These women require increased surveillance during pregnancy and tailored postnatal advice. Other women will have positive diabetes-related autoantibodies, the significance of which is unclear for the individual patient, despite several small studies that investigated prevalence and the subsequent risk of developing type 1 diabetes.
A heterozygous mutation in the glucokinase (GCK) gene causes a mild, asymptomatic form of monogenic diabetes, known as Maturity Onset Diabetes of the Young (GCK-MODY or MODY2) [3]. Women with GCK mutations often are first identified during pregnancy and are, therefore, almost invariably diagnosed with GDM. However, the standard management of GDM, particularly the implementation of intensive glycemic control, can affect the fetus of a woman with a GCK mutation adversely [4•]. Identification of GCK mutations in the GDM population is therefore extremely important.
As individual diabetes and obstetric organizations around the world continue to debate the International Association of Diabetes and Pregnancy Study Groups’ (IADPSG) proposed diagnostic criteria for GDM, an individualized approach to diagnosis and management of GDM must prevail to deliver appropriate obstetric care and optimize maternal and neonatal outcomes.
This review focuses on the scope and implications of the IADPSG’ proposed GDM diagnostic criteria, recent advances in GDM management and the heterogeneity of GDM, with particular reference to ethnicity, islet autoimmunity, and GCK-MODY.
Background to Consensus Guidelines for GDM
Whilst GDM has long been recognized to increase the risk of subsequent maternal diabetes, the relative risk of adverse neonatal outcomes associated with glucose levels during an OGTT in pregnancy has only recently been investigated. The Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study, a multicenter, international study, was designed to assess the level of hyperglycemia on an OGTT associated with adverse neonatal outcomes [5]. More than 25,000 pregnant women at 15 centers across 9 countries were studied using a 75-g, 2-hour, OGTT performed between 24 and 32 weeks gestation. Primary outcomes were birth weight >90th percentile, primary cesarean section delivery, neonatal hypoglycemia, and cord C-peptide >90th percentile. The study demonstrated a continuous and linear relationship between maternal glucose levels on the OGTT and increasing frequency of all primary outcomes, even at glucose levels below those that are currently diagnostic of GDM.
The outcomes of the HAPO study are supported by two major treatment trials in GDM. The Australian Carbohydrate Intolerance Study in Pregnant Women (ACHOIS) was the first large, randomized clinical trial to demonstrate that treatment of GDM reduces serious perinatal complications [6]. In this trial, 1,000 women with a fasting glucose level less than 7.8 mmol/L were assigned to receive treatment or routine care. Infants of treated women had lower rates of macrosomia, perinatal complications, and preeclampsia. Landon et al., through a multicenter, randomized trial of 958 women with even “milder” GDM, defined by a fasting plasma glucose less than 5.3 mmol/L, demonstrated that treatment of “mild” GDM reduced the rates of macrosomia, cesarean section, and gestational hypertension [7].
These landmark studies, which demonstrated both a continuum of perinatal risk across a range of maternal glucose levels, as well as clear benefits of treating even mild GDM, formed the basis of the IADPSG proposed diagnostic criteria.
Scope and Implications of Proposed Diagnostic Criteria for GDM
The IADPSG recommended universal testing with a 75-g, 2-hour OGTT at 24–28 weeks’ gestation. In addition, given the rising background rates of maternal diabetes and obesity as well as increasing maternal age, an assessment of glucose tolerance at the first antenatal visit in all women or only those women classified as high risk according to locally defined criteria was proposed [8••]. A new category, “overt diabetes in pregnancy” emerged, recognizing the need for increased surveillance, more rapid treatment, and closer follow-up of patients with possible (but not previously diagnosed) pre-pregnancy glucose intolerance.8• The consensus criteria are summarized in Fig. 1.
The IADPSG recommendations have widespread implications. If the proposed screening criteria are adopted, the prevalence of GDM, currently reported at approximately 7 % in the United States, is expected to exponentially increase [9]. When the IADPSG diagnostic criteria were applied to the HAPO cohort, the overall frequency of GDM was 17.8 % (range 9.3–25.5 %) at the different centers [10•]. In a high-risk Australian population, this anticipated increase in prevalence could increase workload by >30 %, which would significantly increase health care costs [11]. To cope with this workload, the structure of GDM services may need to change.
Indeed, a universal OGTT may not be practicable in all parts of the world, particularly in countries with limited resources. It has been suggested that some women could be excluded from having an OGTT on the basis of their fasting blood glucose level between 24 and 28 weeks. According to HAPO data, a fasting blood glucose level <80 mg/dL (4.4 mmol/L) is associated with a low risk of adverse perinatal outcomes. Excluding women with a fasting blood glucose in this range may avoid an OGTT in nearly half of the pregnant population [12]. The OGTT would continue to be highly sensitive, with a sensitivity >95 % [12]. Of course, women with a fasting blood glucose ≥92 mg/dL (5.1 mmol/L) already fulfill criteria for a diagnosis of GDM, so these women also could possibly be excluded from undergoing a full OGTT. This strategy of using a fasting blood glucose level as the initial diagnostic test would reduce the number of women who need to undergo a full OGTT, which may be a reasonable alternative in areas where local resources are limited.
Current Controversies with IADPSG Diagnostic Criteria
A contentious issue with the IADPSG recommendations is the threshold at which GDM would be diagnosed in early pregnancy. Fasting blood glucose levels decline during pregnancy but the profile of this is uncertain [13]. Consequently, a fasting blood glucose level ≥92 mg/dL (5.1 mmol/L) in early pregnancy may risk overdiagnosis of GDM.
It should be emphasized that a diagnosis of “overt diabetes in pregnancy” is, by definition, an antenatal diagnosis and is not synonymous with type 2 diabetes. The presence of diabetes must therefore be confirmed postpartum.8• A recent review of local Australian data revealed that when patients with overt diabetes in pregnancy were retested 6-8 weeks postpartum, 21 % had type 2 diabetes, 38 % had prediabetes (impaired fasting glucose or impaired glucose tolerance), and 41 % had returned to normal glucose tolerance [14].
It is important to note that pregnancy outcomes using the IADPSG criteria cannot be directly inferred from the aforementioned large treatment studies, because the diagnostic criteria for GDM in these treatment studies was different to those proposed by IADPSG. So, whilst the recent IADPSG criteria have being endorsed, for the most part, by the American Diabetes Association (ADA), they have not yet been endorsed by the American College of Obstetricians and Gynecologists who cite “no evidence that diagnosis using these criteria leads to clinically significant improvements in maternal or newborn outcomes and it would lead to a significant increase in health care costs.” [15]
Medical Management of GDM
The mainstay of treatment for GDM remains dietary intervention, targeted at reducing postprandial glucose levels, while providing adequate nutrients to sustain the pregnancy. The general principle is an even distribution of carbohydrate intake across three meals and three snacks, with carbohydrates accounting for 33–40 % of caloric intake [16]. A recent, randomized, controlled trial comparing a low-glycemic index diet with a conventional high-fiber, moderate-glycemic index diet did not demonstrate any difference in pregnancy outcomes [17]. Caloric restriction (<1,500 kcal/d) is associated with maternal ketonuria and increases the risk of small-for-gestational-age infants, so should be avoided [18].
Higher levels of physical activity before pregnancy or in early pregnancy are associated with a reduced risk of GDM [19]. Women participating in the highest levels of pre-pregnancy physical activity demonstrated a 55 % risk reduction compared with women participating in the lowest levels. In early pregnancy, the results were similar but less striking, with women who undertake high levels of physical activity experiencing a 25 % risk reduction. Physical activity should be promoted among women of childbearing age.
Women with GDM should perform self-monitoring of blood glucose—fasting and postprandially. Our preference for postprandial testing is with 1-hour levels, because this has been demonstrated to represent peak glucose excursion in pregnancy [20]. Current target thresholds are for a fasting capillary glucose level <95 mg/dL (5.3 mmol/L), 1-hour level <140 mg/dL (7.8 mmol/L), and 2-hour level <120 mg/dL (6.7 mmol/L) [21]. These targets are currently being reviewed in light of emerging data regarding normal glucose levels during pregnancy. Lowering the fasting glucose treatment target would appear appropriate given the proposed lowering of the diagnostic threshold for GDM. HbA1c also may be a useful adjunct in assessing glycemic control [22]. The upper limit of normal for HbA1c in pregnancy is 5.4 % [23].
Medical therapy, preferably with insulin, is required if blood glucose levels remain elevated despite appropriate diet and exercise. Most commonly, a tailored multiple daily injection regimen is used, with rapid-acting insulin at mealtimes and intermediate-acting insulin at bedtime. In our experience, approximately 50 % of women with GDM require insulin treatment [24]. In an era of rising prevalence of GDM, prediction of insulin treatment based on clinical or biochemical characteristics would enable stratification of GDM women into high-risk or low-risk groups. However, we recently assessed a risk-prediction tool that included ethnicity, gestation at diagnosis, HbA1c, glucose levels on an oral glucose tolerance test, body mass index, and diabetes family history; whereas these factors were all significant independent determinants of insulin treatment, only 9 % of the attributable risk for insulin therapy could be explained by the clinical and biochemical factors studied [24]. We hypothesize that dietary compliance may have the greatest impact on need for insulin treatment but did not assess this in that study. Unmeasured fetal or placental factors that promote insulin resistance may play a role.
The use of metformin in the treatment of GDM remains controversial and is not universally recommended. A recent Australasian study of 751 women with GDM, randomized to receive either metformin or insulin, demonstrated less hypoglycemia but an increase in preterm birth in the group treated with metformin [25]. Although there was no statistical difference in other maternal and neonatal outcomes between the groups, the insulin-treated group had worse glycemic indices at the commencement of treatment compared with the metformin-treated group, which may have biased the results [25]. Metformin crosses the placenta, so the long-term safety of metformin use in pregnancy for the offspring must be assessed before recommendations during pregnancy can be made confidently. Results of the 2-year offspring follow-up study of children exposed to metformin in utero have been published, demonstrating that these children had larger measures of subcutaneous fat, but the same overall body fat, as children whose mothers were treated with insulin alone [26]. Longer-term follow-up is ongoing.
Recent Advances in Obstetric Management of GDM
Women with GDM require increased obstetric monitoring. Ultrasonography between 28 and 32 weeks gestation is a useful tool for predicting large for gestational age (LGA) birth weights in women with GDM. Neonates whose early third-trimester ultrasound estimated fetal weight ≥75th percentile were ten times more likely to be LGA at birth compared with neonates whose early third-trimester ultrasound estimated fetal weight <75th percentile [27]. Serial ultrasonography appears to predict fetal growth more accurately and also may help to determine the intensity of medical management and appropriateness of glycemic targets for individual patients [28–30].
The optimal mode and timing of delivery for women with GDM remains controversial. The risk of late stillbirth must be weighed against the risk of neonatal morbidity and mortality. In a retrospective cohort study of more than 193,000 deliveries to women with GDM, the risk of expectant management had a higher risk of mortality than the risk of delivery at 39 and 40 weeks gestation [31•]. In addition, women with GDM who were induced at 39 weeks gestation and who delivered an LGA neonate (birthweight 4,000 ± 125 g) were less likely to require cesarean delivery than women who delivered at a later gestational age [32]. These studies support 39 weeks as the most appropriate gestational age at which to plan delivery for a woman with GDM.
Postpartum Testing and Prevention of Future Diabetes
Women with GDM have a sevenfold increased risk of developing subsequent type 2 diabetes [33]. Up to one-third of women with GDM will already have diabetes or prediabetes on postpartum testing [34•]. Despite this, postpartum testing rates remain low, ranging from 23 % to 58 % [34•]. This represents a missed opportunity to diagnose and treat early diabetes. For women with GDM, the ADA and the American College of Obstetricians and Gynecologists recommend universal OGTT testing 6 to 12 weeks postpartum and 3-yearly thereafter [1, 35].
A past history of GDM should prompt the promotion of healthy lifestyle measures that target modifiable risk factors for macrovascular disease. Women in the Nurses’ Health Study II with a past history of GDM had a 26 % increased risk of hypertension compared with those without this history [19]. Fifty to seventy-five percent of obese women with previous GDM develop type 2 diabetes compared with <25 % of women with GDM who achieve a normal body mass index (BMI) after delivery [36]. For women with GDM and pre-pregnancy overweight or obesity, a reduction in BMI of ≥2.0 kg/m2 between pregnancies can reduce the risk of subsequent GDM by 74 % [37•]. We recommend postnatal advice that is individualized, specific, and goal-driven.
Primary Prevention of GDM: A Paradigm Shift?
From a public health perspective, more emphasis should be placed on prevention of GDM. There is ever-expanding literature regarding the importance of pre-pregnancy BMI, gestational weight gain, and interpregnancy weight gain on GDM risk. Yet, the focus of patient care remains on medical and obstetric management subsequent to a diagnosis of GDM. Perhaps a paradigm shift to focus on dietary advice and BMI-appropriate pregnancy weight targets, provided before, or early in, pregnancy is required.
Heterogeneity of GDM: Remember the “Trees”
The GDM population is ethnically, genetically, and immunologically diverse, which impacts the underlying pathophysiology, clinical characteristics, and pregnancy outcomes. As we take steps toward consensus guidelines for GDM, an individualised approach to diagnosis and management must always be considered.
Ethnicity: Impact on Prevalence, Clinical Characteristics, and Pregnancy Outcomes
Several ethnic groups have an increased prevalence of GDM [38]. Local Australian data demonstrated that Indian (16.7 %), Chinese (15 %), and Aboriginal women (10.1 %) had the highest prevalence of GDM [39]. Maternal indices and neonatal outcomes also are influenced by ethnicity [40]. In our own multiethnic GDM population, compared with Anglo-Celtic women, women from Chinese and Indian backgrounds had a lower pre-pregnancy BMI, earlier diagnosis of GDM, higher 1-hour glucose level on their antenatal OGTT, lower rate of LGA (birth weight >90th percentile) and an increased likelihood of abnormal glucose tolerance postpartum (significant paired tests, p < 0.0001; unpublished data; Table 1). Chinese women had significantly lower insulin requirements than Anglo-Celtic women. The opposite was true for Indian women. Aboriginal women with GDM were younger, had a higher pre-pregnancy BMI, and were more likely to have a cesarean section and abnormal glucose tolerance postpartum than their Anglo-Celtic counterparts (unpublished data; Table 1). An understanding of the demographic profile according to ethnicity is invaluable in highlighting patients with an increased risk for adverse pregnancy outcomes who therefore require more intensive medical and obstetric management.
Islet Autoimmunity in GDM: Prevalence, Trajectory and Clinical Significance
GDM could be considered a “stress test” for the pancreatic beta cell. The presence of positive diabetes-associated autoantibodies in women with GDM may indicate less beta cell reserve and preclinical type 1 diabetes. Identifying these women may avoid incorrect diagnoses of type 2 diabetes and prevent delays with instituting insulin treatment to avoid ketoacidosis, which can be life-threatening.
The prevalence of autoantibodies in GDM has been assessed in several small studies. The prevalence of glutamic acid decarboxylase (GAD) varies from 0–11 %, tyrosine-phosphatase-like islet antigen (IA-2) from 0–6 %, islet cell antibodies (ICA) from 1–15 %, and anti-insulin autoantibodies (IAA) from 0–6 % [41–44]. Antibodies to a zinc transporter (ZnT8) have not yet been reported in GDM. Additionally, IAA may develop in up to 44 % of women treated with insulin during pregnancy and can persist for 2 years postpartum [45].
Few studies have assessed diabetes-related autoantibody titers in both the antenatal and postpartum periods. Given that pregnancy is a relative state of immunosuppression, antibody titers could be expected to decline throughout pregnancy. Thus, the reported prevalence of antibody positivity during pregnancy may not necessarily reflect an individual’s nonpregnant antibody status. The trajectory from antenatal to postnatal titer may itself influence an individual’s propensity to develop type 1 diabetes.
Preliminary data from our multiethnic GDM population demonstrated an overall prevalence for antibody positivity of 5.6 % during pregnancy and 10.7 % postpartum (unpublished data). GAD antibody and IAA titers in insulin-naïve patients remained stable from diagnosis of GDM to the early postpartum period. However, IA2 antibody trended upwards postpartum (significant paired test). These results may reflect hemodilution or immunomodulation during pregnancy.
There is a paucity of data regarding the clinical characteristics and pregnancy outcomes of women with positive diabetes-related autoantibodies and GDM. Antibody positivity has been inconsistently associated with a normal pre-pregnancy BMI, lower weight gain during pregnancy, lower fasting insulin, human leukocyte antigen alleles DR3 and DR4, and insulin treatment during pregnancy [46–48]. Studies that have investigated obstetric and neonatal outcomes have conflicting results; one study reported no significant difference in pregnancy outcomes [48] and another reported an increase in stillbirth and macrosomia rates [47]. However, the latter study included women with more severe hyperglycemia during pregnancy, i.e., women who were likely to have had first presentation of type 1 diabetes during pregnancy and women for whom commencement of appropriate insulin therapy was delayed, which is likely to have negatively biased the results. Clinical correlates and pregnancy outcomes in women with antibody-positive GDM need to be further investigated in larger, multiethnic studies.
With regard to future diabetes risk, the presence and number of positive diabetes-related autoantibodies in GDM have been associated with an increased risk of type 1 diabetes in populations with a high background risk, such as Finland and Sardinia [43, 49]. A study of 385 Swedish women with GDM found that 24 women (6 %) had one antibody positive [42]. Of those, 12 women (50 %) developed type 1 diabetes by 8 years postpartum and another 5 women (20.8 %) developed prediabetes. Half of the women who developed type 1 diabetes had been GAD-positive during pregnancy. IA-2 was less consistent and not necessarily predictive of future type 1 diabetes [49, 50].
There are currently no recommendations regarding testing for diabetes-related autoantibodies during pregnancy. With the increasing prevalence of GDM, universal antibody testing is probably not feasible. Better documentation of clinical and biochemical characteristics of women with antibody-positive GDM may help to guide clinical recommendations for antibody testing in the future, which would help to guide appropriate follow-up of these “high-risk” women.
GCK-MODY: Obstetric Implications and Diagnostic Challenges
Women with heterozygous GCK mutations have mild, asymptomatic, fasting hyperglycemia that is present at birth and persists lifelong. These women often are first identified during pregnancy and, therefore, are almost invariably diagnosed with GDM. However, the standard management of GDM, particularly the implementation of intensive glycemic control, can affect adversely the fetus of a woman with a GCK mutation [4•]. Previous studies have suggested that the prevalence of GCK mutations in pregnancy is 2–5 % [51]. A strong case can therefore be made for the antenatal molecular screening for GCK gene mutations in women with GDM.
In pregnancy, treatment of maternal hyperglycemia due to a GCK mutation is primarily influenced by fetal genotype (Table 2). An affected fetus, in the setting of untreated maternal hyperglycaemia, will have a normal birth weight. However, birth weight is increased by 550–700 g if the fetus is unaffected [4•, 52]. Insulin is indicated if the fetus is unaffected; otherwise macrosomia can ensue. However, if the fetus has inherited a GCK mutation, fetal growth will potentially be reduced if maternal euglycemia is achieved, so insulin is not recommended [4•, 53]. GCK mutations have an autosomal dominant pattern of inheritance, so the fetus has a 50 % chance of inheriting the mutation. Recently, we described the first two cases of pregnancy outcomes of GCK-MODY where a GCK gene mutation was identified in both the mother and fetus during the antenatal period [54]. Our clinical experience has highlighted the need to distinguish hyperglycemia due to a GCK gene mutation from classical GDM during pregnancy.
Diagnosis of a GCK mutation has important lifelong implications for the mother and affected offspring. Unlike type 1 or type 2 diabetes, GCK-MODY is not usually associated with micro- or macrovascular complications and does not require specific pharmacological treatment outside of pregnancy [55]. Correct diagnosis of a GCK mutation is therefore important to prevent unnecessary investigations and treatments.
Universal screening for GCK mutations during pregnancy is not currently practicable. However, pregnancy-specific screening criteria have not been developed. GCK-MODY results in a higher homeostatic set-point for glucose, so that for any given glucose level, the insulin secretion response is lower [3]. Genetic testing for GCK mutations in the general population is recommended if the fasting blood glucose level is 100-145 mg/dL (5.5–8.0 mmol/L) and the 2-hour increment on a 75-g OGTT is <83 mg/dL (4.6 mmo/L) [56]. The applicability of these criteria in pregnancy has not been assessed.
We postulate that the current nonpregnant screening criteria may underdiagnose GCK-MODY in pregnancy. If current criteria are applied to our local OGTT data from 3,466 women with GDM, 12.6 % would fulfill criteria for genetic GCK testing (unpublished data). However, blood glucose levels fall by approximately 20 % during pregnancy [57]. An equivalent fasting threshold for GCK screening early in the third trimester therefore would be approximately 80 mg/dL (4.4 mmol/L). If this lower threshold were used in a screening algorithm, 53 % of women with GDM would be eligible for GCK testing (unpublished data). Clearly, this is not feasible in the setting of the increasing prevalence of GDM.
It would be very valuable if readily obtainable screening criteria could be established to identify women in the antenatal period with a high probability of having a GCK mutation to enable selective molecular genetic testing.
Conclusions
The concept of heterogeneity in GDM is not new. Freinkel et al. wrote in 1987 that GDM entails phenotypic and genotypic heterogeneity [58]. As international organizations consider whether to adopt the new IADPSG diagnostic criteria for GDM, it is increasingly important to remember that an individualized approach to the diagnosis and management of GDM is crucial to optimize maternal and neonatal outcomes. Consideration for the underlying genetic and pathophysiological contributions to an individual’s GDM will serve better than a “one size fits all” approach.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
American Diabetes Association. Standards of medical care in diabetes – 2012. Diabetes Care. 2012;35:S11–63.
O’Sullivan JB, Mahan CM. Criteria for the oral glucose tolerance test in pregnancy. Diabetes. 1964;13:278–85.
Byrne MM, Sturis J, Clement K, et al. Insulin secretory abnormalities in subjects with hyperglycemia due to glucokinase mutations. J Clin Invest. 1994;93:1120–30.
• Spyer G, Macleod KM, Shepherd M, et al. Pregnancy outcome in patients with raised blood glucose due to a heterozygous glucokinase gene mutation. Diabet Med. 2009;26:14–8. For offspring of mothers with a glucokinase gene mutation, fetal birth weight is predominantly affected by fetal genotype.
The HAPO Study Cooperative Research Group. Hyperglycaemia and adverse pregnancy outcomes. NEJM. 2008;358:1991–2002.
Crowther CA, Hiller JE, Moss JR, et al. Effect of treatment of gestational diabetes on pregnancy outcomes. NEJM. 2005;352:2477–86.
Landon MB, Spong CY, Thom E, et al. A multicenter, randomised trial of treatment for mild gestational diabetes. NEJM. 2009;361:1339–48.
•• Metzger BE, Gabbe SG, Persson B, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33:676–82. Proposed IADPSG diagnostic criteria for GDM.
American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2012;35:S64–71.
• Sacks DA, Hadden DR, Maresh M, et al. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel-recommended criteria: the hyperglycemia and adverse pregnancy outcome (HAPO) study. Diabetes Care. 2012;35:L526–8. The overall frequency of GDM in the HAPO cohort was 17.8 %, ranging from 9.3 to 25.5 % at the different centers.
Flack JR, Ross GP, Ho S, et al. Recommended changes to diagnostic criteria for gestational diabetes: impact on workload. Aust N Z J Obstet Gynaecol. 2010;50:439–43.
Agarwal MM, Dhatt GS, Shah SM. Gestational diabetes mellitus: simplifying the international association of diabetes and pregnancy diagnostic algorithm using fasting plasma glucose. Diabetes Care. 2010;33:2018–20.
Riskin-Mashiah S, Damti A, Younes G, et al. Normal fasting plasma glucose levels during pregnancy: a hospital-based study. J Perinat Med. 2011;39:209–11.
Wong T, Ross GP, Flack JR. Risk of type 2 diabetes in women diagnosed with overt diabetes in pregnancy [abstract ADIPS024]. Presented at the Australasian Diabetes in Pregnancy Society Annual Scientific Meeting. Brisbane, Australia; November 4-7, 2011.
The American College of Obstetricians and Gynecologists Committee Opinion. Screening and diagnosis of gestational diabetes mellitus. Obstet Gynecol. 2011;118:751–3.
Moses RG, Barker M, Winter M, et al. Can a low-glycemic index diet reduce the need for insulin in gestational diabetes mellitus? A randomised trial. Diabetes Care. 2009;32:996–1000.
Louie JCY, Markovic TP, Perera N, et al. A randomized controlled trial investigating the effects of a low-glycemic index diet on pregnancy outcomes in gestational diabetes mellitus. Diabetes Care. 2011;34:2341–6.
Jacqueminet S, Jannot-Lamotte MF. Therapeutic management of gestational diabetes. Diabetes Metab. 2010;36:658–71.
Tobias DK, Zhang C, van Dam RM, et al. Physical activity before and during pregnancy and risk of gestational diabetes mellitus: a meta-analysis. Diabetes Care. 2011;34:223–9.
Yogev Y, Ben-Haroush A, Chen R, et al. Diurnal glycemic profile in obese and normal weight nondiabetic pregnant women. Am J Obstet Gynecol. 2004;191:949–53.
Metzger BE, Buchanan TA, Coustan DR, et al. Summary and recommendations of the Fifth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care. 2007;30:S251–60.
Jovanovič L, Savas H, Mehta M, et al. Frequent monitoring of A1c during pregnancy as a treatment tool to guide therapy. Diabetes Care. 2011;34:53–4.
Nielsen LR, Ekbom P, Damm P, et al. HbA1c levels are significantly lower in early and late pregnancy. Diabetes Care. 2004;27:1200–1.
Pertot T, Molyneaux L, Tan K, et al. Can common clinical parameters be used to identify patients who will need insulin treatment in gestational diabetes mellitus? Diabetes Care. 2011;34:2214–6.
Rowan JA, Hague WM, Gao W, et al. Metformin versus insulin for the treatment of gestational diabetes. NEJM. 2008;358:2003–15.
Rowan JA, Rush EC, Obolonkin V, et al. Metformin in gestational diabetes: the offspring follow-up (MiG TOFU): body composition at 2 years of age. Diabetes Care. 2011;34:2279–84.
Nelson L, Wharton B, Grobman WA. Prediction of large for gestational age birth weights in diabetic mothers based on early third-trimester sonography. J Ultrasound Med. 2011;30:1625–8.
Schaefer-Graf UM, Wendt L, Sacks DA, et al. How many sonograms are needed to reliably predict the absence of fetal overgrowth in gestational diabetes mellitus pregnancies? Diabetes Care. 2011;34:39–43.
Kjos SL, Schaefer-Graf UM. Modified therapy for gestational diabetes using high-risk and low-risk fetal abdominal circumference growth to select strict versus relaxed maternal glycemic targets. Diabetes Care. 2007;30:S200–5.
Schaefer-Graf UM, Kjos SL, Fauzan OH, et al. A randomized trial evaluating a predominantly fetal growth-based strategy to guide management of gestational diabetes in Caucasian women. Diabetes Care. 2004;27:297–302.
• Rosenstein MG, Cheng YW, Snowden JM, et al. The risk of stillbirth and infant death stratified by gestational age in women with gestational diabetes. Am J Obstet Gynecol. 2012;206:309.e1–7. For women with GDM, the risk of expectant management carried a higher risk of mortality than the risk of delivery at 39 and 40 weeks gestation.
Cheng YW, Sparks TN, Laros Jr RK, et al. Impending macrosomia: will induction of labour modify the risk of caesarean delivery? BJOG. 2012;119:402–9.
Bellamy L, Casas JP, Hingorani AD, et al. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373:1773–9.
• Hunt KJ, Logan SL, Conway DL, et al. Postpartum screening following GDM: how well are we doing? Curr Diab Rep. 2010;10:235–41. Although up to one-third of women with GDM will have diabetes or prediabetes on post-partum testing, follow-up rates are low.
American College of Obstetricians and Gynecologists Committee Opinion. Postpartum screening for abnormal glucose tolerance in women who had gestational diabetes mellitus. Obstet Gynecol. 2009;113:1419–21.
Dornhorst A, Bailey PC, Anyaoku V, et al. Abnormalities of glucose tolerance following gestational diabetes. Q J Med. 1990;77:1219–28.
• Ehrlich SF, Hedderson MM, Feng J, et al. Change in body mass index between pregnancies and the risk of gestational diabetes in a second pregnancy. Obstet Gynecol. 2011;117:1323–30. For women who were overweight or obese before their first pregnancy, a reduction in BMI by ≥ 2.0 BMI units reduced the risk of GDM in the second pregnancy by 74 %.
Landon MB, Gabbe SG. Gestational diabetes mellitus. Obstet Gynecol. 2011;118:1379–93.
Yue DK, Molyneaux LM, Ross GP, et al. Why does ethnicity affect prevalence of gestational diabetes? The underwater volcano theory. Diabet Med. 1996;13:748–52.
Wong VW. Gestational diabetes mellitus in five ethnic groups: a comparison of their clinical characteristics. Diabet Med. 2012;29:366–71.
de Leiva A, Maurico D, Corcoy R. Diabetes-related autoantibodies and gestational diabetes. Diabetes Care. 2007;30:S127–33.
Nilsson C, Ursing D, Törn C, et al. Presence of GAD antibodies during gestational diabetes mellitus predicts type 1 diabetes. Diabetes Care. 2007;30:1968–71.
Murgia C, Orrù M, Portoghese E, et al. Autoimmunity in gestational diabetes mellitus in Sardinia: a preliminary case-control report. Reprod Biol Endocrinol. 2008;6:24.
Yu SH, Park S, Kim HS, et al. The prevalence of GAD antibodies in Korean women with gestational diabetes mellitus and their clinical characteristics during and after pregnancy. Diabetes Metab Res Rev. 2009;25:329–34.
Balsells M, Corcoy R, Mauricio D, et al. Insulin antibody response to a short course of human insulin therapy in women with gestational diabetes. Diabetes Care. 1997;20:1172–5.
Löbner K, Knopff A, Baumgarten A, et al. Predictors of postpartum diabetes in women with gestational diabetes mellitus. Diabetes. 2006;55:792–7.
Wucher H, Lepercq J, Timsit J. Onset of autoimmune type 1 diabetes during pregnancy: prevalence and outcomes. Best Pract Res Clin Endocrinol Metab. 2010;24:617–24.
Bo S, Menato G, Pinach S, et al. Clinical characteristics and outcome of pregnancy in women with gestational hyperglycaemia with and without antibodies to beta-cell antigens. Diabet Med. 2003;20:64–8.
Järvelä IY, Juutinen J, Koskela P, et al. Gestational diabetes identifies women at risk for permanent type 1 and type 2 diabetes in fertile age: predictive role of autoantibodies. Diabetes Care. 2006;29:607–12.
Fuchtenbusch M, Ferber K, Standl E, et al. Prediction of type 1 diabetes postpartum in patients with gestational diabetes mellitus by combined islet cell autoantibody screening: a prospective multicenter study. Diabetes. 1997;46:1459–67.
Ellard S, Beards F, Allen LI, et al. A high prevalence of glucokinase mutations in gestational diabetic subjects selected by clinical criteria. Diabetologia. 2000;43:250–3.
Hattersley AT, Beards F, Ballantyne E, et al. Mutations in the glucokinase gene of the fetus result in reduced birth weight. Nat Genet. 1998;19:268–70.
Spyer G, Hattersley AT, Sykes JE, et al. Influence of maternal and fetal glucokinase mutations in gestational diabetes. Am J Obstet Gynecol. 2001;185:240–1.
Chakera AJ, Carleton VL, Ellard S, et al. Antenatal diagnosis of fetal genotype determines if maternal hyperglycemia due to a glucokinase mutation requires treatment. Diabetes Care. 2012. doi:10.2337/dc12-0151.
Hattersley AT, Pearson ER. Minireview: pharmacogenetics and beyond: the interaction of therapeutic response, β-cell physiology and genetics in diabetes. Endocrinology. 2006;147:2657–63.
Ellard S, Bellanné-Chantelot C, Hattersley AT. Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young. Diabetologia. 2008;51:546–53.
Mazze R, Yogev Y, Langer O. Measuring glucose exposure and variability using continuous glucose monitoring in normal and abnormal glucose metabolism in pregnancy. J. Matern-Fetal Neonatal Med. 2012;25:1171–75.
Freinkel N, Metzger BE, Phelps RL, et al. Gestational diabetes mellitus: a syndrome with phenotypic and genotypic heterogeneity. Horm Metab Res. 1986;18:427–30.
Disclosures
V.L. Rudland: none; J. Wong: none; D.K. Yue: none; G.P. Ross: honoraria from Medtronic.
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Rudland, V.L., Wong, J., Yue, D.K. et al. Gestational Diabetes: Seeing Both the Forest and the Trees. Curr Obstet Gynecol Rep 1, 198–206 (2012). https://doi.org/10.1007/s13669-012-0020-9
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DOI: https://doi.org/10.1007/s13669-012-0020-9