Gestational Diabetes Mellitus Gdm

Pregnancy is a critical window for metabolic health, and early changes in blood sugar regulation can increase the risk of gestational diabetes mellitus (GDM), which affects both maternal and infant health. At the same time, the maternal gut microbiome changes throughout pregnancy and may play a role in glucose metabolism and insulin resistance. Kefir, a fermented milk drink containing beneficial bacteria and yeasts, may be a simple dietary strategy to support metabolic health during pregnancy, but its role in preventing GDM has not been well studied. This study will test whether drinking kefir daily from mid-pregnancy until routine GDM screening can improve glucose and insulin regulation, reduce the incidence of GDM, and modulate the maternal gut microbiome and metabolites, among other outcomes. Pregnant individuals will be randomly assigned to either a kefir group or a control group receiving usual prenatal care. Researchers will collect blood glucose and insulin measures, dietary information, stool samples, and body composition data across pregnancy and postpartum to evaluate metabolic and microbiome-related changes. As one of the first studies to examine kefir as an early pregnancy intervention for GDM prevention, this study will help clarify whether a practical, food-based approach can improve maternal metabolic health. The findings may support future nutrition strategies aimed at reducing GDM risk and improving pregnancy outcomes.

This investigator-initiated, non-randomized pilot study evaluates the effect of daily consumption of fermented poi on the maternal microbiome and gestational diabetes risk during pregnancy. Fifty pregnant participants between approximately 12 and 24 weeks of gestation will receive one pound of poi daily for four weeks, accompanied by culturally tailored nutrition education delivered via secure text messaging. Changes in vaginal, oral, and rectal microbiome composition, diet quality, gestational diabetes diagnosis, and pregnancy-related outcomes will be assessed and compared with matched controls derived from an existing cohort. This study aims to inform the feasibility and design of a larger culturally grounded dietary intervention for gestational diabetes prevention.

The current study is a single-blind, parallel-group randomized controlled trial involving 108 participants with diabetes during pregnancy. The trial will compare leg ergometer with arm ergometer. Interventions will be delivered three times per week for eight weeks. The primary outcomes are glucose, exercise tolerance, weight, and psychological stress. Assessments will be conducted at baseline and after eight weeks. The trial will be carried out at Jinnah hospital, Services hospital, Sir Ganga Ram Hospital, Lahore. The hypothesis is that the leg ergometer including aerobic exercise will result in greater reduction in glucose and exercise tolerance, weight and stress management than arm ergometer.

This study is a randomized controlled clinical trial designed to evaluate the effect of a polyphenol-rich dietary intervention during pregnancy on endothelial function, oxidative stress biomarkers, and maternal and neonatal outcomes. Pregnancy is associated with metabolic and vascular adaptations, and complications such as gestational diabetes and hypertensive disorders are linked to endothelial dysfunction and increased oxidative stress. Dietary factors, particularly adherence to the Mediterranean diet and intake of polyphenol-rich foods, may play a protective role. Pregnant women will be randomly assigned to either an intervention group or a control group. The intervention consists of daily consumption of 10 g of natural non-alkalized cocoa and structured dietary counseling aimed at achieving at least five daily servings of fruits and vegetables, alongside general Mediterranean diet recommendations. The intervention will last 12 weeks, from early to mid-pregnancy. Biomarkers of endothelial function and oxidative stress will be measured at different time points, along with clinical maternal outcomes (including gestational diabetes and hypertensive disorders) and neonatal outcomes. The aim is to determine whether this dietary intervention improves endothelial function, reduces oxidative stress, and contributes to better pregnancy outcomes.

Gestational diabetes mellitus (GDM) is a common metabolic disorder of pregnancy associated with increased maternal and fetal morbidity. Lactation has been suggested to improve maternal glucose metabolism, enhance insulin sensitivity, and reduce the risk of future glucose intolerance. However, evidence regarding the protective effect of lactation on the development of GDM in subsequent pregnancies remains limited. This prospective observational cohort study aims to evaluate the association between lactation and the risk of gestational diabetes mellitus and related pregnancy complications in women who conceive during the lactation period. Routine glycemic markers including fasting plasma glucose, HbA1c, glycosuria, and 75-g oral glucose tolerance test (OGTT) results will be recorded. Ultrasonographic findings including fetal abdominal circumference percentile, estimated fetal weight percentile, and amniotic fluid index will also be assessed. The study will investigate whether lactation is associated with a reduced risk of GDM, fetal macrosomia, and polyhydramnios in subsequent pregnancies.

The goal of this pilot study is to test the feasibility and preliminary impact of "MyGlucoCare," a smartphone-based program designed to support women with gestational diabetes (GDM). The main questions it aims to answer are: Is the "MyGlucoCare" program practical and acceptable for participants? Does it show preliminary signs of improving self-management, blood sugar control, and well-being in women with gestational diabetes (GDM)? Researchers will conduct a single-arm study to gather initial data on the program's use and effects, which will be used to plan a larger future clinical trial. Participants will: Use the "MyGlucoCare" app for 8-12 weeks during their pregnancy. Receive personalized education, support from a clinician, and access to a moderated peer group through the app. Complete questionnaires and log health data via the app at the start, near the end of pregnancy, and after giving birth. Some participants will also take part in an interview to share their feedback on the program.

Gestational diabetes mellitus (GDM) is a type of diabetes that is first diagnosed during pregnancy. It causes high blood sugar levels and can increase the risk of health problems for both the mother and the baby. Babies may grow larger than expected (macrosomia), which can make delivery more difficult and increase the risk of birth complications. Mothers with GDM are also more likely to need insulin treatment and may have a higher risk of high blood pressure during pregnancy. Good blood sugar control is important to reduce these risks. The usual way to monitor blood sugar in women with GDM is by self-monitoring of blood glucose (SMBG). This involves pricking the finger several times a day to measure blood sugar levels. Although this method provides useful information, it only shows glucose levels at specific moments and may miss changes that happen during the night or between measurements. Continuous glucose monitoring (CGM) is a newer method that uses a small sensor placed under the skin to measure glucose levels throughout the day and night. It provides more detailed information about blood sugar patterns and does not require frequent finger pricks. CGM has been shown to improve blood sugar control in people with type 1 and type 2 diabetes, but its benefits in women with gestational diabetes are not yet fully known. The purpose of this study is to compare continuous glucose monitoring (CGM) with standard finger-prick monitoring (SMBG) in pregnant women diagnosed with gestational diabetes between 24 and 28 weeks of pregnancy. The study will evaluate whether CGM is practical to use, whether women are satisfied with it, and whether it may help improve blood sugar control and pregnancy outcomes. A total of 100 pregnant women with gestational diabetes will take part in this study. Participants will be randomly assigned (like flipping a coin) to one of two groups: One group will use a continuous glucose monitoring device. The other group will continue with standard finger-prick blood glucose monitoring. Both groups will receive the same medical care, including dietary advice, physical activity recommendations, and insulin treatment if needed. Participants will attend regular pregnancy visits every 2 to 3 weeks until delivery, as part of usual care. No extra hospital visits are required because of the study. Women using CGM will receive training on how to use the device. The researchers will compare blood sugar control, the need for insulin, pregnancy complications, and newborn outcomes such as birth weight and episodes of low blood sugar after birth. The study will also assess how satisfied women are with their glucose monitoring method and how it affects their quality of life. This is a pilot study, which means its main goal is to determine whether a larger study should be carried out in the future. The results will help researchers understand whether continuous glucose monitoring could improve the care of women with gestational diabetes and their babies.

As of today, around 25% of all vaginal births happen after induction of labor (IOL). The internal guidelines of the University Hospital Zurich currently recommend pregnant women with a non-insulin dependent gestational diabetes an IOL around term. One possibility to prevent an IOL and increase the chance for a spontaneous onset of birth is a ripening of the cervix by alternative methods in an outpatient setting. The primary objective of this study is to evaluate the effect of natural cervical ripening methods on the time interval between 37 weeks (beginning of the intervention) and the onset of spontaneous labor.

This study's primary purpose is to determine the potential relationship between cardiometabolic disease, specifically insulin resistance (HOMA-IR), and maternal lipid oxidation.

The 'Standard of Care Plus' ('PLUS') model in the ROOT Study consists of analyzing select micronutrient and gene variants of pregnant females to construct trimester-specific and personalized nutrition and lifestyle recommendations in collaboration with in-person standard obstetric care (SOC). In 2014, the investigators demonstrated statistically significant reductions in adverse maternal and infant outcomes using the 'PLUS' model compared to SOC alone. Further study in a 50% Medicaid Oregon 'PLUS' cohort (N=387) demonstrated association with highly significant risk reductions in all primary outcomes (p-value \<0.001): preterm birth: relative risk (RR) = 0.238 (4.2x less likely), hypertensive disorders of pregnancy: RR = 0.229 (4.4x less likely), gestational diabetes: RR = 0.071 (14x less likely), small for gestational age: RR = 0.252 (4x less likely), and large for gestational age: RR = 0.357 (2.8x less likely). A 100% Medicaid and ethnically diverse Nevada 'PLUS' cohort showed similar trends in all outcomes that were not statistically significant because of small sample size. Structured as a prospective interventional study, the study evaluates whether the 'PLUS' model can achieve similar outcome improvements within the Novant Health (NH) system in North Carolina. The study will assess both clinical outcomes and digital nutrition platform performance within the existing healthcare infrastructure. The primary hypothesis of the ROOT study is that collaborative implementation of the 'PLUS' nutritional care model at NH Triad Obstetrics/Gynecology (OB/GYN) Clinic will be associated with reduced maternal and infant adverse outcome rates when compared to historical regional and NH system outcomes in those who received SOC alone. The secondary hypothesis of the ROOT Study is that the 'PLUS' model applied during pregnancy will be associated with reduced pediatric adverse outcomes. The 'PLUS' offspring that remain in the NH system will be observed longitudinally over 5 years with chart review at birth through 2 weeks of age, and at 1, 3, and 5 years of life. The outcomes assessed include neonatal intensive care unit (NICU) admission in the first two weeks of life, atopic dermatitis, eczema, asthma, allergies, otitis media, obesity, and autism. The 'PLUS' adverse outcome rates will be compared to adverse outcome rates in children born regionally and nationally under SOC alone. Participant compliance with the 'PLUS' model, and participant and nutritionist access to the digital health platform will be studied during each trimester of use, as well as in the postpartum time period. The exploratory hypothesis is that the digital platform will not affect access, compliance, and rates of maternal and neonatal adverse outcomes.

Gestational diabetes mellitus (GDM) is one of the most common clinical conditions in pregnancy, with an increasing incidence due to the rise in overweight women and the postponement of motherhood. It is associated with perinatal complications and an increased risk of developing prediabetes and type 2 diabetes after delivery. Therefore, it is recommended that a 75g oral glucose tolerance test (OGTT-75g) be performed between 6 and 12 weeks postpartum. Despite its relevance, the rate of adherence to the test is low. Recent studies also indicate that measuring blood glucose one hour after the overload may be more sensitive than the traditional two-hour measurement in the early detection of dysglycemia. This study aims to evaluate strategies for qualifying the screening of metabolic changes in the postpartum period among women with GDM. The objectives are: (1) to analyze the impact of sending reminders via WhatsApp on the attendance rate for the 75g OGTT; and (2) to compare the frequency of prediabetes and diabetes diagnoses using two different diagnostic strategies applied to the same test-the traditional (fasting and 2-hour blood glucose) and the alternative (fasting and 1-hour blood glucose).

The goal of this clinical trial is to determine whether the sequence of macronutrient consumption affects post-prandial glycaemia in women with gestational diabetes mellitus. The main questions it aims to answer are: * The difference in the magnitude of postprandial rise in blood glucose between the two test meals. * The difference in the magnitude of postprandial change in serum levels of gut hormones between the two test meals. * The difference in mean change in pre-post ingestion satiety scores between the two test meals. * The difference in 24 hour energy and macronutrient intake following the two test meals. Participants will attend two study visits at the Centre for Public Health, with an interval of at least two days between the visits and complete the following, anthropometric measurements, demographic and appetite questionnaires, glucose measurements, two food diaries and fasting blood samples and the consumption of the study breakfast. Participants will be asked to eat either the protein/fat-based component of the meal (scrambled egg) before or after the carbohydrate-based component (wholemeal toast) on their first visit and on the other visit they will be asked to eat the meal in the reverse order. The order in which this occurs will be randomised and each participant will act as their own control. Researchers will compare the results from participants between the two test meals to see if the order of macronutrient consumption has any effect on post-prandial glycaemia, gut hormones, satiety scores and energy and macronutrient intake.

Gestational diabetes mellitus (GDM) is a common pregnancy complication characterized by impaired glucose metabolism and increased insulin resistance. GDM is associated with adverse pregnancy outcomes and an increased long-term risk of metabolic and cardiovascular disease for both mother and offspring. This prospective observational cohort study aims to establish a longitudinal pregnancy and birth cohort of women diagnosed with GDM. Pregnant women with a positive 75 g oral glucose tolerance test (OGTT) between gestational weeks 24 and 28 will be recruited after diagnosis and followed through late pregnancy, delivery, and early postpartum. Participants will undergo two study visits during pregnancy, sample collection at delivery, and one postpartum visit 8-12 weeks after birth. Clinical data, physical measurements, questionnaire-based information, and biological samples will be collected from mothers and infants to enable comprehensive phenotyping of GDM pregnancies. Data and biosamples from this cohort will be used for descriptive and hypothesis-driven analyses and may be compared with data from an existing longitudinal cohort of healthy pregnancies to support interpretation of GDM-related changes.

Gestational diabetes mellitus (GDM) is associated with significant maternal and fetal complications. The standard diagnostic test for GDM is the 75-gram oral glucose tolerance test (OGTT). However, pregnant women who have undergone bariatric surgery may not tolerate OGTT due to dumping syndrome and gastrointestinal side effects. This creates diagnostic challenges in this specific population. The aim of this prospective observational study is to evaluate whether routinely measured glycemic markers, including fasting blood glucose, postprandial blood glucose, HbA1c, and urinary glucose levels, can predict the development of gestational diabetes mellitus and related pregnancy complications in women with prior bariatric surgery. Pregnant women aged 18-50 years with a history of bariatric surgery will be enrolled and followed throughout pregnancy. The predictive value of glycemic markers for GDM, macrosomia, and polyhydramnios will be analyzed using multivariable logistic regression models. This study aims to provide alternative diagnostic approaches for GDM screening in pregnant women who are unable to tolerate OGTT and to contribute to improving maternal and perinatal outcomes in this growing patient population.

The investigators will use implementation methods to develop better breastfeeding support for patients with gestational diabetes as a way to prevent type 2 diabetes.

This clinical trials aims to investigate the impact of parental metabolism during pregnancy on fetal epigenetic signatures. The metabolic profiles of both parents will be evaluated through a blood sample collected from the father and an oral glucose tolerance test administered to the pregnant mother. Additionally, epigenetic signatures will be assessed using parental blood samples. Fetal epigenetic signatures can be identified by analyzing fetal cell-free DNA that circulates in the mother's bloodstream.

This study aims to develop and evaluate an early risk identification and digital health intervention strategy for gestational diabetes mellitus (GDM) among pregnant women in China. Gestational diabetes mellitus is a common pregnancy complication associated with adverse maternal and neonatal outcomes, including excessive gestational weight gain, macrosomia, cesarean delivery, and increased long-term risk of metabolic disorders in both mothers and offspring. The study includes two components. First, retrospective multi-source clinical data from maternal health records will be used to develop and validate a risk prediction model for early identification of pregnant women at high risk of GDM. Second, pregnant women identified as high risk in early pregnancy will be enrolled in a multicenter randomized controlled trial and assigned to either a digital health intervention group or a usual care group. The intervention includes online health education, individualized lifestyle guidance, behavioral self-management tools, and interactive consultation through a digital platform. The primary outcome is the incidence of GDM diagnosed during pregnancy. Secondary outcomes include gestational weight gain, cesarean delivery, macrosomia, and other maternal and neonatal outcomes. This study is expected to provide evidence for improving early risk assessment, intelligent warning, and prevention strategies for GDM in the context of maternal health management in China.

Pre-eclampsia (PET) is a condition characterised by high blood pressure and damage to other organs, and is a leading cause of maternal and fetal complications such as fetal growth restriction (FGR). Gestational diabetes mellitus (GDM) involves abnormal blood sugar levels during pregnancy and can have both short and long-term impacts on the health of the mother and child. Both conditions are linked to placental dysfunction but the precise mechanisms behind these links remain unclear. A major focus of this study is on extracellular vesicles (EVs) which are tiny, bubble-like particles released by the placenta into the mother's and baby's bloodstreams. These EVs act as messengers, carrying proteins, lipids and genetic material that can influence how cells function, even in parts of the body far from the placenta. Notably, the number and content of these EVs change in conditions like PET and GDM, suggesting they may play a role in the development of these complications. This single-site, observational, laboratory study aims to investigate how these EVs contribute to maternal health and disease. To enable analysis across different physiological and pathological conditions pregnant participants with healthy pregnancies, pregnancies predisposed to PET and pregnancies complicated by GDM, FGR and PET will be recruited alongside healthy non-pregnant controls. Recruitment will be from the Oxford University Hospitals NHS Foundation Trust and the Nuffield Department of Women's and Reproductive Health, University of Oxford (who fund the research). Demographic and clinical data will be collected as well as blood, urine, breath, placenta, umbilical cord, umbilical cord blood, amniotic fluid and/or uterine vein blood samples. Through examining EV content and function, it is hoped a better understanding of their role in pregnancy complications will be gained, including their potential as non-invasive biomarkers for early detection and targeted treatments, improving outcomes for mothers and babies worldwide.

The purpose of this study is to determine whether continuous glucose monitoring (CGM) improves the detection and management of neonatal hypoglycaemia in newborns of mothers with insulin-treated gestational diabetes.

The study is examining the health effects of gestational diabetes mellitus (GDM) intervention and medically tailored meals within home visiting. A large study is proposed that will include nearly a thousand pregnant or recently pregnant adults with recent GDM and who are from different regions and backgrounds. Two treatment approaches are compared, and both are in home visiting. One treatment group is receiving enhanced lifestyle support for GDM along with meals, and the other is receiving just the enhanced lifestyle support. The study will examine whether these interventions help reduce diabetes and pre-diabetes through 12 months postpartum, as well as other health factors like weight and blood pressure.

This is a prospective pilot study to assess the validity of using a continuous glucose monitor (CGM) in diagnosing gestational diabetes mellitus (GDM). Pregnant individuals between the ages of 18-50 years old receiving prenatal care at Mount Sinai Hospital (e..g, E-Level clinic and Faculty Practice Associates) will be enrolled. Potential participants will be approached during their prenatal care appointments. Participants will complete an informed consent form for the study during their standard-of-care prenatal appointments at our institution.

Gestational Diabetes Mellitus (GDM) currently affects approximately 14% of all pregnancies worldwide. Importantly, the health-related consequences of GDM extend well beyond pregnancy, such that women with a history of GDM have a 40% increased risk of cerebrovascular diseases and a 67% increased risk of dementia, compared to women with a history of uncomplicated pregnancy. Women with a history of GDM have impaired skin microvascular function, compared with women with a history of uncomplicated pregnancy. Therefore, it's likely that GDM results in impaired brain blood vessel function, yet there is little-to-no information regarding the effects of GDM on brain blood vessel health and function after pregnancy. Therefore, the purpose of the study is to evaluate the effects of GDM on brain blood flow and brain blood vessel function in healthy women with either a history of GDM or uncomplicated pregnancy. In this study, the investigators will use two different types of ultrasound to non-invasively measure brain blood flow. Brain blood vessel function will be evaluated by examining the brain blood flow responses to increases in carbon dioxide (the increases in carbon dioxide are similar to what is experienced during a breath hold). Additionally, the investigators will compare the brain blood flow results to skin microvascular function to explore potential mechanisms behind possible impairments in brain blood vessel function. Skin microvascular function will be assessed using a minimally invasive technique (intradermal microdialysis for the local delivery of pharmaceutical agents) on dime sized areas of the forearm. Finally, for screening purposes and to further explore potential mechanisms behind any potential impairments in brain blood vessel function, the investigators will perform blood draws to determine the metabolic health of the participants and to analyze for substances that influence blood vessel function.

Sarcopenia is a syndrome characterized by loss of skeletal muscle mass and strength, and physical performance deterioration. Prevalence of sarcopenia in elderly people is remarkably high (prevalence of about 25% in 60+ years people). In type 2 diabetes (T2D), sarcopenia is emerging as comorbidity of major concern. Sarcopenia, however, is not limited to elderly people, as it can develop also in younger individuals with prevalence around 9% or even higher according to some investigators. Of note, sarcopenia has been reported even in the 20-29 years interval. This interval includes women of childbearing age, thus raising the question whether sarcopenia may occur also in women with gestational diabetes (GDM) and whether this may affect pregnancy outcomes. Also, association between sarcopenia and cognitive impairment has been repeatedly reported, to the point that some authors have emphasized the importance of early sarcopenia recognition for prevention of cognitive impairment. Therefore, our main aims are: 1. To ascertain whether sarcopenia is present in GDM and, in that case, its prevalence; 2. To identify risk factors for sarcopenia; 3. To determine sarcopenia impact on pregnancy outcomes, and cognitive function. During pregnancy, all women will undergo oral glucose tolerance test (OGTT) for assessment of the glucometabolic condition. Several clinical variables of interest in sarcopenia will also be recorded. As regards the OGTT data, special focus will be on the assessment of insulin resistance, both at fasting and during the dynamic conditions determined by the OGTT. Notably, the special interest for insulin resistance is due to the reason that this type of metabolic alteration is known to be a risk factor for sarcopenia. In fact, all women will then undergo testing for diagnosis of sarcopenia (or presarcopenia), and all data and parameters will be analyzed to identify relationships between sarcopenia-related variables and GDM-related ones. It is worth noting that in consideration of the exacerbated insulin resistance condition often observed in GDM, the investigators expect indeed a not negligible prevalence of sarcopenia (or at least presarcopenia) in GDM women, despite the young (non-elderly) age. In addition, since insulin resistance is often present in pregnancy even in the absence of dysglycemia, the investigators do not exclude to identify some cases of sarcopenia/presarcopenia even in pregnant non-GDM women. This study will be the basis for future studies (also of interventional type), especially in women with GDM for prevention of sarcopenia and related possible pregnancy complication and adverse pregnancy outcomes, as well as for possibly contributing to mitigation of risk for T2D development in later life.

The EAGER pilot trial is designed to assess the feasibility of a Canadian, multicentre prospective randomized open-label blinded end-point (PROBE) clinical trial addressing whether induction of labour (IOL) at 38 weeks' gestation compared to expectant management (EM) reduces severe perinatal mortality and morbidity among individuals with gestational diabetes mellitus (GDM). Eligible participants will be consented between 32 weeks + 0 days and 38 weeks + 0 days gestation and randomized between 36 weeks + 0 days and 38 weeks + 0 days gestation. Participants will be randomized to one of two arms: * Intervention Arm: IOL between 38 weeks + 0 days and 38 weeks + 6 days OR * Control Arm: EM without intervention until spontaneous labour, or earlier if a medical indication arises. A total of 260 participants (130 per group) will be recruited from Canadian sites, where participants will have 3 study visits: 1. Enrollment and randomization 2. After delivery and up to 72 hours postpartum 3. 6 weeks postpartum At enrollment and randomization, patient-reported baseline and clinical data from medical charts will be collected. Upon admission to hospital for labour and delivery, a blood sample may be collected to assess HbA1C and plasma glucose levels. After delivery and up to 72 hours postpartum, study feasibility will be assessed through patient-reported outcomes and administrative and clinical data. At 6 weeks postpartum, participants will be surveyed for secondary health resource use. Findings from this pilot will inform the design, implementation and feasibility of a future full-scale randomized controlled trial.

This prospective cohort study investigates glycaemic variability, assessed by continuous glucose monitoring (CGM), in pregnant women with gestational diabetes mellitus (GDM) and its association with fetal growth and related maternal and neonatal outcomes. Participants will undergo 14 days of CGM during pregnancy to characterise individual glycaemic patterns. Clinical and paraclinical data, including fasting plasma glucose, HbA1c, lipid profile, organ markers of pregnancy-related medical conditions, maternal weight gain, and blood pressure will be collected at two study visits. Oral glucose tolerance test (OGTT) 2-hour values will be obtained at diagnosis. All participants will receive standard GDM care and routine obstetric follow-up for assessment of fetal growth and wellbeing. Birth weight, birth weight z-scores, and relevant neonatal outcomes will be recorded after delivery. Statistical analyses will be performed using Stata statistical software (StataCorp LLC, College Station, TX, USA). Continuous and categorical variables will be summarised using appropriate descriptive statistics. Associations between maternal glycaemic variability and neonatal as well as other maternal metabolic outcomes will be explored using suitable statistical methods, with adjustment for relevant covariates. Exploratory analyses may include additional glycaemic variability metrics and lipid parameters to further characterise maternal metabolic patterns.