Gestational diabetes mellitus: Challenges for different ethnic groups

Ethnic differences in the effects of lifestyle interventions on adverse pregnancy outcomes among women with gestational diabetes mellitus: A systematic review and meta-analysis

AIMS

Lifestyle interventions are widely used among women with gestational diabetes mellitus (GDM). This study aimed to assess the ethnic disparities in the effectiveness of lifestyle interventions on reducing adverse pregnancy outcomes, particularly macrosomia and neonatal hypoglycemia among women with GDM.

METHODS

We systematically searched the PubMed/MEDLINE, Web of Science, and Cochrane Library databases from January 1, 2000, up to March 31, 2024, to identify randomized controlled trials (RCTs) examining the effects of lifestyle interventions in GDM patients. Subgroup analysis was performed to investigate heterogeneity across different ethnic groups (including Asians, Whites/Caucasians, Hispanics/ Latinos, and Unknown ethnicity). The random effects model was used to calculate the relative risk (RR) and 95% confidence interval (CI).

RESULTS

After applying inclusion and exclusion criteria, twenty-one studies comprising 4567 participants were included. Lifestyle interventions significantly reduced the incidence of macrosomia ((RR = 0.54; 95 % CI: 0.42-0.70, P < 0.001), with consistent effects observed across racial groups. Conversely, lifestyle interventions were associated with a significant reduction in the risk of neonatal hypoglycemia only among Asians (RR = 0.56; 95 % CI: 0.38-0.84, P = 0.004), while no significant effects were observed in Whites/Caucasians or Hispanics/Latinos (all P > 0.05). Sensitivity analyses confirmed the robustness of the findings.

CONCLUSIONS

Regardless of ethnic background, this study emphasizes the significant benefits of lifestyle interventions in reducing the risk of macrosomia among women with GDM. However, lifestyle interventions seem to reduce the risk of neonatal hypoglycemia only among Asians, which warrants further studies.

Unveiling the role of microRNAs in metabolic dysregulation of Gestational Diabetes Mellitus

Gestational Diabetes Mellitus (GDM) presents a significant health concern globally, necessitating a comprehensive understanding of its metabolic intricacies for effective management. MicroRNAs (miRNAs) have emerged as pivotal regulators in GDM pathogenesis, influencing glucose metabolism, insulin signaling, and lipid homeostasis during pregnancy. Dysregulated miRNA expression, both upregulated and downregulated, contributes to GDM-associated metabolic abnormalities. Ethnic and temporal variations in miRNA expression underscore the multifaceted nature of GDM susceptibility. This review examines the dysregulation of miRNAs in GDM and their regulatory functions in metabolic disorders. We discuss the involvement of specific miRNAs in modulating key pathways implicated in GDM pathogenesis, such as glucose metabolism, insulin signaling, and lipid homeostasis. Furthermore, we explore the potential diagnostic and therapeutic implications of miRNAs in GDM management, highlighting the promise of miRNA-based interventions for mitigating the adverse consequences of GDM on maternal and offspring health.

Insulin Blood Levels in Gestational Diabetes Mellitus in Relation to Ethnicity and Age in the Kingdom of Bahrain: A Cross-Sectional Study

BACKGROUND

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. It may be attributed to certain placental hormones during pregnancy which render insulin less effective. Our study aimed to focus on the levels of insulin in gestational diabetic women in the Kingdom of Bahrain as compared with non-diabetic pregnant women. Furthermore, we studied the correlation between insulin levels by ethnicity and age of the pregnant women.  Methods: A cross-sectional study was conducted on 75 pregnant participants: 41 with GDM (test group) and 34 without GDM (control group). Insulin levels were determined in patients with GDM and compared to non-diabetic pregnant women. A comparison between Bahraini and non-Bahraini women was carried out in two different age groups: below and above 30 years of age. P values < 0.05 were considered significant.

RESULTS

The results showed higher mean values of fasting blood glucose (FBG), random blood glucose (RBG), and insulin levels in the test group when compared to the control group. There was no significant difference in FBG, RBG, and insulin levels among Bahraini women with GDM and non-Bahraini women (Indian, Pakistani. Bengali, and Filipino) with GDM. Age, less than 30 vs more than 30 years, had no significant effect on women with GDM.

CONCLUSION

Insulin levels were higher in pregnant women with GDM irrespective of their ethnicity or age. The lack of blood glucose control in GDM even in the presence of high insulin secretion may suggest loss of insulin effectiveness due to other factors such as stress and lactogenic placental hormones.

The association of red and processed meat with gestational diabetes mellitus: Results from 2 Canadian birth cohort studies

OBJECTIVE

Red and processed meat is considered risk factors of gestational diabetes mellitus (GDM), but the evidence is inconclusive. We aimed to examine the association between red and processed meat intake and odds of GDM among South Asian and White European women living in Canada.

METHODS

This is a cross-sectional analysis of pregnant women from two birth cohorts: SouTh Asian biRth cohorT (START; n = 976) and Family Atherosclerosis Monitoring In earLY life (FAMILY; n = 581). Dietary intake was assessed using a validated 169-item semi-quantitative food-frequency questionnaire (FFQ). Multivariate logistic regression models were used to examine the associations between gestational diabetes and: 1) total red and processed meat; 2) unprocessed red meat; 3) processed meat and GDM after adjustment for potential confounders.

RESULTS

There were 241 GDM cases in START and 91 in FAMILY. The median total red and processed meat intake were 1.5 g/d (START) and 52.8 g/d (FAMILY). In START, the multivariable-adjusted odds ratio (OR) showed neither lower nor higher intakes of unprocessed red meat (p-trend = 0.68), processed meat (p-trend = 0.90), or total red and processed meat (p-trend = 0.44), were associated with increased odds of GDM, when compared with medium intake. Similar results were observed in FAMILY except for processed meat intake [OR = 0.94 (95% CI 0.47-1.91), for medium versus low and OR = 1.51 (95% CI 0.77-2.29) for medium versus high; p-trend = 0.18] after adjusting for additional dietary factors such as the diet quality score, total fiber, saturated fat and glycemic load.

CONCLUSION

Medium compared with low or high red and processed meat intake is not associated with GDM in White Europeans and South Asians living in Canada.

Diabetes in pregnancy: Women's views of care in a multi-ethnic, low socioeconomic population with midwifery continuity-of-care

BACKGROUND

Diabetes in pregnancy is diagnosed in 6% of pregnancies annually in Aotearoa-New Zealand, disproportionately affecting multi-ethnic, low socio-economic women. Little is known about the care experience of this population within the model of midwifery continuity-of-care, including views of telehealth care.

AIM

Increase understanding of the experience of diabetes in pregnancy care, including telehealth, among multi-ethnic, low socio-economic women receiving midwifery continuity-of-care.

METHODS

Qualitative interview study with primarily indigenous and migrant women who had diabetes in pregnancy and gave birth 6-18 months previously. Interviewers were matched with participants by ethnicity. Transcripts were analysed using Framework analysis.

RESULTS

Participants were 19 women (5 Māori, 5 Pacific Peoples, 5 Asian, 4 European). Data analysis revealed three key themes: 1) 'shock, shame, and adjustment' to the diagnosis 2) 'learning to manage diabetes in pregnancy' and 3) 'preparation for birth and beyond' to the postpartum period.

DISCUSSION

Receiving the diagnosis of diabetes in pregnancy was a shock. Managing diabetes during pregnancy was particularly challenging for indigenous and migrant women, who wished for better access to culturally appropriate dietary and lifestyle information. Women appreciated having options of telehealth and face-to-face consultations. Preparation for birth and postpartum diabetes follow-up were areas requiring significant improvement. Challenges were mitigated through care from a consistent diabetes specialist midwife and community-based midwifery continuity-of-care.

CONCLUSION

Midwives were the backbone of diabetes in pregnancy care for this multi-ethnic, low socio-economic population. Care could be improved with more culturally appropriate diet and lifestyle information, better birth preparation, and expanded postpartum diabetes support.

Improving maternal and neonatal outcomes for women with gestational diabetes through continuity of midwifery care: A cross-sectional study

PROBLEM

Gestational Diabetes Mellitus (GDM) is a complication of pregnancy which may exclude women from midwife-led models of care.

BACKGROUND

There is a paucity of research evaluating the safety and feasibility of continuity of midwifery care (CoMC) for women with GDM.

AIM

To investigate the impact of CoMC on maternal and neonatal outcomes, for otherwise low-risk women with GDM.

METHODS

This exploratory cross-sectional study observed maternal and neonatal outcomes including onset of labour, augmentation, labour analgesia, mode of birth, perineal trauma, gestation at birth, shoulder dystocia, infant birth weight, neonatal feeding at discharge.

FINDINGS

Participants were 287 otherwise low-risk pregnant women, who developed GDM, and either received CoMC (n=36) or standard hospital maternity care (non-CoMC) (n=251). Women with GDM who received CoMC were significantly more likely to experience an spontaneous onset of labour (OR 6.3; 95% CI 2.7-14.5; p<.001), labour without an epidural (OR 4.2; 95% CI 2.0 - 9.2,<0.001) and exclusively breastfeed (OR 4.3; 95% CI 1.26 - 14.32; p=0.02).

DISCUSSION

Receiving CoMC may be a public health initiative which not only improves maternal and neonatal outcomes, but also long-term morbidity associated with GDM.

CONCLUSION

Findings provide preliminary evidence suggesting CoMC improves maternal and neonatal outcomes and is likely a safe and viable option for otherwise low-risk women with GDM. Larger studies are recommended to confirm findings and explore the full impact of CoMC for women with GDM.

Maternal age and adverse pregnancy outcomes among Meitei women of Manipur, Northeast India: A cross-sectional study

OBJECTIVE

The study examines the outcomes of pregnancies conceived at advanced maternal age (AMA) and maternal complications after childbirth among Meitei women of Northeast India.

METHOD

A total of 760 women participants were included in this study and compared among women aged ≥35 years, with a reference group of women aged 20-34 years. Data on obstetric characteristics were collected after obtaining consent. The data were compared using chi-square analysis, and the results were adjusted using a logistic regression model. Decision trees were developed to predict the potential variables associated with preterm delivery and postpartum complication.

RESULTS

In the study, 18.95% of AMA women experienced one or more adverse pregnancy outcomes (APOs). Women with AMA are at significantly increased risk of placenta previa (adjusted odds ratio [AOR] = 4.89, 95% confidence interval [CI]: 2.78-8.57), induction of labor (AOR = 3.69, 95%CI: 2.48-5.50), and caesarean section (AOR = 3.42, 95%CI: 2.28-5.12). Moreover, AMA women have a 1.86-2.76 AOR for developing gestational diabetes, pregnancy-induced hypertension, urinary tract infections, preterm delivery, and postpartum complications. Decision tree analysis revealed that AMA and urban residence independently predict preterm delivery and postpartum complications.

CONCLUSION

The study's findings confirm the adverse impact of AMA on pregnancy outcomes and postpartum complications. Such issues should be addressed, and counseling on the risk of AMA should be provided, particularly for those in the high-risk group. Further prospective studies are needed to understand other potential risk factors of APOs and the impact of AMA complications to prevent the associated burden.

Gestational diabetes-related gut microbiome dysbiosis is not influenced by different Asian ethnicities and dietary interventions: a pilot study

Gut microbiome dysbiosis contributes to the pathophysiology of both gestational diabetes mellitus (GDM) and its associated adverse outcomes in the woman and offspring. Even though GDM prevalence, complications, and outcomes vary among different ethnic groups, limited information is available about the influence of ethnicity on gut microbiome dysbiosis in pregnancies complicated by GDM. This pilot prospective cohort study examined the impact of ethnicity on gut dysbiosis in GDM among three Asian ethnic groups (Chinese, Malay, Indian) living in Singapore, and investigated the potential modulatory roles of diet and lifestyle modifications on gut microbiome post-GDM diagnosis. Women with GDM (n = 53) and without GDM (n = 16) were recruited. Fecal samples were collected at 24-28- and 36-40-weeks' gestation and analyzed by targeted 16S rRNA gene-based amplicon sequencing. Permutational multivariate analysis of variance (PERMANOVA) analysis was performed to evaluate differences between groups. Differentially abundant taxa were identified by DeSeq2 based analysis. Functional prediction was performed using the phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2). Among women with GDM, gut microbiome from different ethnicities harbored common microbial features. However, among those without GDM, there was contrasting microbiome composition between ethnic groups. Microbial members such as Collinsella, Blautia, Ruminococcus, Ruminococcus gnavus, Ruminococcus torques, and Eubacterium hallii groups were differentially enriched (p < 0.05) in women with GDM compared to those without. Among women with GDM, no differences in alpha- and beta- diversity were observed when comparing 24-28 weeks' samples with 36-40 weeks' samples, a period covering intense dietary and lifestyle modification, suggesting an inability to modulate gut microbiota through classic GDM management. Women with GDM have a distinct gut microbiome profile which harbours common features across different Asian ethnic groups, consistent with the notion that specific microbes are involved in the pathogenesis of insulin resistance, pro-inflammatory conditions, and other metabolic dysregulation known to be present in GDM.

Antenatal health and perinatal outcomes of Pacific Islander women in Australia with and without gestational diabetes: A ten-year retrospective cohort study

BACKGROUND

Pacific Islander (PI) women in Australia have an increased risk of gestational diabetes (GDM); however, their perinatal outcomes are poorly understood.

AIM

The aim was to determine the maternal characteristics and perinatal outcomes of PI women with and without GDM compared to Australian/European (AE)-born women.

METHODS

A retrospective analysis of perinatal outcomes of singleton deliveries >20 weeks' gestation between 1 January 2011 and 31 December 2020 was conducted at a tertiary provider (Melbourne, Australia). Antenatal details and birth outcomes were extracted from the Birth Outcome Systems database. t-Tests and χ2, univariate and multivariable logistic regression analyses assessed the relationship between ethnicity and outcomes.

RESULTS

Of 52,795 consecutive births, 24,860 AE women (13.3% with GDM) and 1207 PI-born women (20.1% with GDM) were compared. PI women had significantly greater pre-pregnancy body mass index (BMI) and significantly lower rates of smoking and nulliparity. PI women with GDM had higher rates of pre-eclampsia (P < 0.001), large-for-gestational age (LGA) neonates (P = 0.037) and neonatal hypoglycaemia (P = 0.017) but lower rates of small-for-gestational age neonates (P = 0.034). Neonatal intensive care unit (NICU)/special care nursery requirements did not increase. After having adjusted for covariates, PI women's risk of LGA neonates (adjusted odds ratio (aOR): 1.06, 95% confidence interval (CI): 0.86-1.31) was attenuated; however, risk of pre-eclampsia (aOR: 1.49, 95% CI: 1.01-2.21) and neonatal hypoglycaemia (aOR: 1.40, 95% CI: 1.01-1.96) still increased. They were less likely to require a primary caesarean section (aOR: 0.86, 95% CI: 0.73-0.99).

CONCLUSION

PI women have higher BMI and GDM rates, contributing to an increased likelihood of adverse perinatal outcomes. BMI is a modifiable risk factor that could be addressed prenatally.

Impact of Antenatal Care Modifications on Gestational Diabetes Outcomes During the COVID-19 Pandemic

BACKGROUND

Many of the adverse outcomes of gestational diabetes mellitus (GDM) are linked to excessive fetal growth, which is strongly mediated by the adequacy of maternal glycemic management. The COVID-19 pandemic led to a rapid adoption of virtual care models. We aimed to compare glycemic management, fetal growth, and perinatal outcomes before and during the COVID-19 pandemic.

METHODS

A retrospective cohort study was conducted between 2017 and 2020. Singleton pregnancies complicated by GDM were included in the study. The cohort was stratified into "before" and "during" COVID-19 subgroups, using March 11, 2020, as the demarcation time point. Women who began their GDM follow-up starting March 11, 2020, and thereafter were allocated to the COVID-19 era, whereas women who delivered before the demarcation point served as the pre-COVID-19 era. The primary outcome was the rate of large-for-gestational-age (LGA) neonates. Secondary outcomes included select maternal and neonatal adverse outcomes.

RESULTS

Seven hundred seventy-five women were included in the analysis, of which 187 (24.13%) were followed during the COVID-19 era and 588 (75.87%) before the COVID-19 era. One hundred seventy-one of the 187 women (91.44%) followed during COVID-19 had at least 1 virtual follow-up visit. No virtual follow-up visits occurred before the COVID-19 era. There was no difference in the rate of LGA neonates between groups on both univariate (5.90% vs 7.30%, p=0.5) and multivariate analyses, controlling for age, ethnicity, parity, body mass index, gestational weight gain, chronic hypertension, smoking, and hypertensive disorders in pregnancy (adjusted odds ratio [aOR] 1.11, 95% confidence interval [CI] 0.49 to 2.51, p=0.80). In the multivariate analysis, there was no difference in composite neonatal outcome between groups (GDM diet: aOR 1.40, 95% CI 0.81 to 2.43, p=0.23; GDM medical treatment: aOR 1.20, 95% CI 0.63 to 2.43, p=0.5).

CONCLUSIONS

After adjusting for differences in baseline variables, the combined virtual mode of care was not associated with a higher rate of LGA neonates or other adverse perinatal outcomes in women with GDM. Larger studies are needed to better understand the specific impact of virtual care on less common outcomes in pregnancies with GDM.

Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study

BACKGROUND

Mobile apps can aid with the management of gestational diabetes mellitus (GDM) by providing patient education, reinforcing regular blood glucose monitoring and diet/lifestyle modification, and facilitating clinical and social support.

OBJECTIVE

This study aimed to describe our process of designing and developing a culturally tailored app, Garbhakalin Diabetes athawa Madhumeha-Dhulikhel Hospital (GDM-DH), to support GDM management among Nepalese patients by applying a user-centered design approach.

METHODS

A multidisciplinary team of experts, as well as health care providers and patients in Dhulikhel Hospital (Dhulikhel, Nepal), contributed to the development of the GDM-DH app. After finalizing the app's content and features, we created the app's wireframe, which illustrated the app's proposed interface, navigation sequences, and features and function. Feedback was solicited on the wireframe via key informant interviews with health care providers (n=5) and a focus group and in-depth interviews with patients with GDM (n=12). Incorporating their input, we built a minimum viable product, which was then user-tested with 18 patients with GDM and further refined to obtain the final version of the GDM-DH app.

RESULTS

Participants in the focus group and interviews unanimously concurred on the utility and relevance of the proposed mobile app for patients with GDM, offering additional insight into essential modifications and additions to the app's features and content (eg, inclusion of example meal plans and exercise videos).The mean age of patients in the usability testing (n=18) was 28.8 (SD 3.3) years, with a mean gestational age of 27.2 (SD 3.0) weeks. The mean usability score across the 10 tasks was 3.50 (SD 0.55; maximum score=5 for "very easy"); task completion rates ranged from 55.6% (n=10) to 94.4% (n=17). Findings from the usability testing were reviewed to further optimize the GDM-DH app (eg, improving data visualization). Consistent with social cognitive theory, the final version of the GDM-DH app supports GDM self-management by providing health education and allowing patients to record and self-monitor blood glucose, blood pressure, carbohydrate intake, physical activity, and gestational weight gain. The app uses innovative features to minimize the self-monitoring burden, as well as automatic feedback and data visualization. The app also includes a social network "follow" feature to add friends and family and give them permission to view logged data and a progress summary. Health care providers can use the web-based admin portal of the GDM-DH app to enter/review glucose levels and other clinical measures, track patient progress, and guide treatment and counseling accordingly.

CONCLUSIONS

To the best of our knowledge, this is the first mobile health platform for GDM developed for a low-income country and the first one containing a social support feature. A pilot clinical trial is currently underway to explore the clinical utility of the GDM-DH app.

Retrospective cohort study of the association between socioeconomic deprivation and incidence of gestational diabetes and perinatal outcomes

INTRODUCTION

Socioeconomic disparities have been shown to correlate with perinatal mortality and the incidence of type 2 diabetes. Few studies have explored the relationship between deprivation and the incidence of gestational diabetes (GDM). We aimed to identify the relationship between deprivation and incidence of GDM, after adjusting for age, BMI, and ethnicity. We also examined for relationships between deprivation and perinatal outcomes.

METHODS

A retrospective cohort analysis of 23,490 pregnancies from a major National Health Service Trust in Northwest London was conducted. The 2019 English Indices of Multiple Deprivation was used to identify the deprivation rank and decile for each postcode. Birthweight centile was calculated from absolute birthweight after adjusting for ethnicity, maternal height, maternal weight, parity, sex and outcome (live birth/stillbirth). Logistic regression and Kendall's Tau were used to identify relationships between variables.

RESULTS

After controlling for age, BMI & ethnicity, Index of Multiple Deprivation postcode decile was not associated with an increased risk of developing gestational diabetes. Each increase in decile of deprivation was associated with an increase in birthweight centile by 0.471 (p < 0.001). After adjusting for confounders, age was associated with a 7.1% increased GDM risk (OR: 1.076, p < 0.001); BMI increased risk by 5.81% (OR: 1.059, p < 0.001). There was no significant correlation between Index of Multiple Deprivation rank and perinatal outcomes.

DISCUSSION

Our analysis demonstrates that socioeconomic deprivation was not associated with incidence of GDM or adverse perinatal outcomes. Factors such as genetic predisposition and lifestyle habits may likely play a larger role in the development of GDM compared to socioeconomic deprivation alone.

Evaluating the relationship between hepatitis B viral activity and gestational diabetes mellitus: A prospective cohort study

BACKGROUND

Hepatitis B infection has been associated with the development of gestational diabetes but the underlying mechanism is not known.

OBJECTIVE

To examine associations between viral activity, gestational diabetes mellitus (GDM), and insulin resistance in pregnant people with chronic hepatitis B infection (HBV).

DESIGN

Prospective cohort study across three tertiary maternity centres in Melbourne, Australia, between May 2021 and April 2023.

METHODS

Participants were followed prospectively through pregnancy to evaluate subsequent GDM diagnosis. Demographics, pregnancy outcomes, and markers of viral activity were compared between those with GDM versus those without. Logistic regression analysis was performed pre- and post-adjustment for known confounders. Sub-group analysis of participants from South East Asia (SEA) was performed. Outcome measures included GDM diagnosis, insulin resistance (Homeostatic Model Assessment Insulin Resistance score (HOMA-IR) score), HBV activity as measured by liver function tests, HBV viral load, hepatitis B e antigen, and quantitative hepatitis B surface antigen (quantHBsAg).

RESULTS

A total of 113 women were recruited. One third (38/112, 33.9%) developed GDM, mostly diagnosed on isolated postprandial hyperglycaemia (25/38, 65.8%). Over half were born in SEA (66/113, 58.4%). Mean quantHBsAg was significantly lower in those with GDM (p = 0.044). No other associations were identified between GDM or HOMA-IR and markers of hepatic activity on multivariate logistic regression analysis and on sub-group analysis of those born in SEA.

CONCLUSIONS

QuantHBsAg was significantly lower in those with GDM; otherwise, no association between GDM and measures of HBV viral activity was found. QuantHBsAg may be useful as an early pregnancy marker for GDM risk and warrants further research.

Lifestyle Interventions to Prevent Type 2 Diabetes in Women with a History of Gestational Diabetes: A Systematic Review and Meta-Analysis through the Lens of Health Equity

BACKGROUND

Type 2 diabetes mellites is one of the health problems disproportionally affecting people with low socioeconomic statuses. Gestational diabetes mellites increases the risk of type 2 diabetes by up to ten-fold for women. Lifestyle interventions prevent type 2 diabetes in women with prior gestational diabetes. However, it is unknown if similar effectiveness can be expected for all population subgroups.

OBJECTIVE

This study aims to assess the prevention of type 2 diabetes in women with prior gestational diabetes using population characteristics according to the PROGRESS (place of residence, race/ethnicity/culture/language, occupation, gender/sex, religion, education, socioeconomic status, and social capital) criteria.

METHODS

MEDLINE, CINAHL, EMBASE, PubMed, PsycINFO, Web of Science, and EBM Reviews databases were searched for interventional studies of diet, physical activity, or behavioural interventions published up to 21 February 2023. Random effects subgroup meta-analysis was conducted to evaluate the association of population characteristics and intervention effects.

RESULTS

All studies were conducted in high-income countries or middle-income countries. Two-thirds of the studies reported on race/ethnicity and education level. Less than one-third reported on place (urban/rural), occupation, and socioeconomic status. None reported on religion or social capital. Studies from high-income countries (MD = -1.46; 95% CI: -2.27, -0.66, I2 = 70.46, p < 0.001) showed a greater reduction in bodyweight compared with the studies conducted in middle-income countries (MD = -0.11; 95% CI: -1.12, 0.89, I2 = 69.31, p < 0.001) (p for subgroup difference = 0.04).

CONCLUSION

There are significant equity gaps in the evidence for the prevention of type 2 diabetes in women with prior gestational diabetes due to reports on population characteristics being poor. Interventions may be less effective in reducing bodyweight in women from middle-income countries compared to high-income countries. Collecting and analysing data related to equity is needed to understand the effect of lifestyle interventions on type 2 diabetes for different population subgroups.

GDM care re-imagined: Maternal and neonatal outcomes following a major model of care change for gestational diabetes mellitus at a large metropolitan hospital

BACKGROUND

The rapidly rising prevalence of gestational diabetes mellitus (GDM) poses major challenges to the efficient, timely and sustainable provision of diabetes care.

AIM

To assess whether the implementation of a novel, digital model of care would provide improved efficiency without compromising clinical outcomes in a cohort of women with GDM.

METHODS

A digital model of care was developed, implemented and evaluated using a prospective pre-post study design in 2020-21 at a quaternary centre. We introduced six culturally and linguistically tailored educational videos, home delivery of equipment and prescriptions, and a smartphone app-to-clinician portal for glycaemic review and management. Outcomes were prospectively recorded by an electronic medical record. Associations between model of care and maternal and neonatal characteristics and birth outcomes were examined for all women and separately by treatment received (diet, metformin, insulin).

RESULTS

Comparing pre-implementation (n = 598) and post-implementation (n = 337) groups, maternal (onset, mode of birth) and neonatal (birthweight, large for gestational age (LGA), nursery admission) clinical outcomes confirmed that the novel model of care was similar to standard, traditional care. Minor birthweight variation was noted when separated by treatment type (diet, metformin, insulin).

CONCLUSION

This pragmatic service redesign demonstrates reassuring clinical outcomes in a culturally diverse GDM cohort. Despite the lack of randomisation, this intervention has potential generalisability for GDM care and important key learnings for service redesign in the digital era.

Regulatory mechanisms underlying endoplasmic reticulum stress involvement in the development of gestational diabetes mellitus entail the CHOP-PPARα-NF-κB pathway

OBJECTIVE

We investigated the proinflammatory functions of endoplasmic reticulum stress and peroxisome proliferator-activated receptor α (PPARα) in the development of gestational diabetes mellitus (GDM) and their relationship in regulating inflammation in GDM.

METHODS

This study was performed on placentas of normal pregnant women, women with GDM, and HTR8 cells. Transmission electron microscopy, immunohistochemistry, Western blot analysis, and RT-PCR were performed to analyze ERS and PPARα expression on both normal and GDM pregnancy placentas. ELISA was performed to analyze inflammatory biomarkers. To generate models of the GDM-like state, placentas of normal pregnancy were treated with LPS and polyinosinic-polycytidylic acid (poly [I:C]). TG, CHOP plasmid, and CHOP siRNA were assessed as to their regulation of HTR8 cells to discern the relationship between ERS and PPARα in regulating the inflammation associated with GDM.

RESULTS

ERS was elevated in GDM placentas, induced the secretion of IL-6 and TNF-α, and attenuated the expression of GLUT-4. PPARα was diminished in GDM placentas and inhibited the inflammatory responses via the NF-κB nuclear-transport process. 4-PBA reduced CHOP and augmented PPARα, and it decreased IL-6 and TNF-α in our GDM-like explant. However, with both 4-PBA and MK886 treatment, we noted no significant difference in CHOP expression. The level of PPARα was reduced, and that of NF-κB p65 in the nucleus was elevated with TG treatment in the HTR8/Svneo. Knockdown of CHOP increased PPARα and reduced NF-κB p65, while expression of PPARα declined, and that of NF-κB p65 rose with the application of CHOP when HTR8 cells were treated with TG.

CONCLUSIONS

ERS contributes to the pathophysiology of GDM in pregnancy via the CHOP-PPARα-NF-κB-signalling pathway by inducing aberrant activation of inflammation and insulin resistance.

Random capillary glucose levels throughout pregnancy, obstetric and neonatal outcomes, and long-term neurodevelopmental conditions in children: a group-based trajectory analysis

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with both short- and long-term risks, although it is unknown if risks vary by severity, timing, and duration of gestational hyperglycemia. We aimed to identify trajectories of random capillary glucose (RCG) levels throughout pregnancy and assess their associations with both obstetric/neonatal outcomes and children's risk of neurodevelopmental conditions (NDCs) (i.e., autism, intellectual disability, and attention-deficit/hyperactivity disorders [ADHD]).

METHODS

A population-based cohort study was conducted involving 76,228 children born to 68,768 mothers without pregestational diabetes. Group-based trajectory modeling was utilized to identify distinct glucose trajectories across RCG values throughout the course of pregnancy. The associations between these trajectory groups and obstetric/neonatal outcomes as well as children's NDCs were then assessed using generalized estimating equation models with a logit link. The Benjamini-Hochberg (BH) procedure was employed to adjust P-values for multiple comparisons, controlling the false discovery rate (FDR).

RESULTS

Five distinct glucose trajectory groups were identified, each with varying percentages diagnosed with GDM. Their associations with obstetric/neonatal outcomes as well as children's NDCs varied. For example, when compared to the "Persistently Low" group, other groups exhibited varying degrees of increased risk for large-for-gestational-age babies, with the exception of the "High in Early Pregnancy" group. Compared to the "Persistently Low" group, all other trajectory groups were associated with NDC outcomes, except the "High in Mid-Pregnancy" group. However, none of the associations with offspring NDCs remained significant after accounting for the FDR correction.

CONCLUSIONS

Persistent high glucose levels or moderately elevated glucose levels throughout pregnancy, as well as transient states of hyperglycemia in early or mid-pregnancy, were found to be associated with increased risks of specific obstetric and neonatal complications, and potentially offspring NDCs. These risks varied depending on the severity, timing, duration, and management of hyperglycemia. The findings underscore the need for continuous surveillance and individualized management strategies for women displaying different glucose trajectories during pregnancy. Limitations such as potential residual confounding, the role of mediators, and small sample size should be addressed in future studies.

The experiences of women from culturally and linguistically diverse backgrounds with gestational diabetes mellitus: A mixed methods systematic review

BACKGROUND

Gestational diabetes mellitus (GDM) is experienced at a higher rate in women from culturally and linguistically diverse (CALD) backgrounds. The aim of this systematic review is to describe the experiences of women with GDM from CALD backgrounds and compare their experiences to women with GDM from non-CALD backgrounds.

MATERIALS AND METHODS

MEDLINE, EMBASE, PsycINFO, Scopus, WOS and CINAHL databases were searched for qualitative and quantitative studies which included data on the experiences of CALD background women with GDM during all stages of pregnancy. Quality appraisal utilized checklists for analytical cross-sectional studies and qualitative research. Thematic analysis was performed using nVivo software.

RESULTS

Of the 3054 studies identified, 24 studies met the inclusion criteria. Data synthesis produced five key themes: (1) Response to diagnosis, (2) Experiences with self-management, (3) Interactions with the healthcare system, (4) Mental health challenges and (5) Facilitators and barriers to support. Women with GDM from CALD and non-CALD backgrounds similarly expressed mental health challenges, feeling burdened by recommendations, and challenges interacting with healthcare professionals (HCP). The major difference in experience was the cultural relevance of recommendations, especially related to diet recommendations.

CONCLUSION

Gestational diabetes mellitus is a burdensome diagnosis for CALD and non-CALD women, with CALD women uniquely experiencing a lack of culturally relevant recommendations for self-management. The similarities and differences in experience call for optimisation of GDM management and support for women with GDM.

The Association Between Eating Quickly and Excessive Gestational Weight Gain

Objectives

Maintaining an appropriate gestational weight gain (GWG) is essential for a safe pregnancy and delivery. This study aimed to determine the association between the habit of eating quickly and the risk of excessive GWG.

Methods

We administered a questionnaire on eating habits to 1246 pregnant Japanese women in their second to third trimesters. We categorized the participants into three groups according to their answers to the question "Do you eat quickly?" Group 1, "always" or "usually"; Group 2, "sometimes"; and Group 3, "rarely" or "never." We assessed GWG according to the "The Optimal Weight Gain Chart" (Ministry of Health, Labor and Welfare, Japan), and those who exceeded the criteria were considered "excessive." Logistic regression analysis was performed with the risk of excess GWG as the dependent variable and quick food intake as the independent variable, to obtain relevant odds ratios (ORs) and 95% confidence intervals (CIs). Model 1 was unadjusted, and Model 2 was adjusted for age, prepregnancy body mass index, energy intake, mother's educational attainment, household income, exercise habits, and childbearing experience.

Results

The OR (95% CI) for Groups 2 and 3 in Model 1, compared with Group 1, was 0.80 (0.62-1.05) and 0.61 (0.43-0.88), respectively (p for trend = 0.047). In Model 2, the OR (95% CI) for Groups 2 and 3 were 0.73 (0.55-0.96) and 0.59 (0.40-0.86), respectively (p for trend = 0.003).

Conclusion

These results suggest that quick food ingestion increases the risk of excessive GWG.

Diet change and sustainability in Indigenous areas: characteristics, drivers, and impacts of diet change in Gunayala, Panama

Many Indigenous communities around the world have been experiencing rapid and profound diet changes. This case report uses a Sustainability Science lens to understand the characteristics of diet change in Indigenous Gunas communities of Panama, as well as its drivers and sustainability impacts. We use primary information collected through interviews with 30 experts and 232 household surveys in three Gunas islands  characterised by different levels of development, western influence, and cultural erosion. We observe a rapid westernization of diets that has been mainly driven by closer interaction with tourists and the Panamanian society, as well as broader development processes. However, this diet change has a series of intersecting sustainability impacts related to food security, health, and socio-cultural and environmental change. It is necessary to understand the intersection of these phenomena when designing programs and interventions that seek to prevent or mitigate negative diet changes in Gunayala, and other  Indigenous contexts more broadly.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11625-023-01325-0.

Effects of different dietary patterns during pregnancy on birth outcomes and glucose parameters in women with gestational diabetes mellitus: A systematic review and meta-analysis

PURPOSE

Dietary interventions are the cornerstone of gestational diabetes mellitus (GDM) treatment. This study aimed to evaluate the effects of dietary patterns during pregnancy on birth outcomes and glucose parameters in women with GDM.

METHODS

PubMed, Embase, and The CoChrane Library were searched from the time of database creation to November 30, 2021, along with manual searches. Data analyses were performed using Stata 15.4 software.

RESULTS

From 2461 studies, 27 RCTs involving 1923 women were eligible. The pooled results showed that dietary pattern interventions during pregnancy reduced birth weight (WMD: -0.14 kg; 95% CI: -0.24, -0.00), hemoglobin A_1 C (HbA_1 C) (WMD: -0.19, 95% CI: -0.34, -0.05), and macrosomia incidence (RR 0.65 [95% CI 0.48, 0.88]). Low glycemic index (GI) diet reduced macrosomia incidence (RR 0.31 [95% CI 0.11, 0.93]) and fasting plasma glucose (FPG) levels (WMD: -0.10 mmol/L; 95% CI: -0.14, -0.05); a low carbohydrate (CHO) diet reduced large for gestational age (LGA) incidence (RR 0.33 [95% CI 0.13, 0.82]) and HbA_1 C (WMD: -0.32; 95% CI: -0.51, -0.14); dietary approaches to stop hypertension (DASH) diet reduced birth weight (WMD:-0.59 kg; 95% CI: -0.64, -0.55), insulin use (RR 0.31 [95% CI 0.18, 0.56), macrosomia incidence (RR 0.12 [95% CI 0.03, 0.50]), and cesarean sections incidence (RR 0.57 [95% CI 0.40, 0.82]).

CONCLUSION

Dietary patterns during pregnancy can improve certain birth outcomes and glycemic parameters. Due to limitations in the quality and number of included studies, the above findings still need to be validated by further randomized controlled trials with high quality and large samples.

Ray J, Geary M, Murray‐Davis B. Exploring patients' perspectives of gestational diabetes mellitus screening and counselling in Ontario: A grounded theory study

INTRODUCTION

Gestational diabetes mellitus (GDM) is associated with adverse perinatal outcomes. Approaches to screening for GDM continue to evolve, introducing potential variability of care. This study explored the impact of these variations on GDM counselling and screening from the perspectives of pregnant individuals.

METHODS

Following a Corbin and Strauss approach to qualitative, grounded theory we recruited 28 individuals from three cities in Ontario, Canada who had a singleton pregnancy under the care of either a midwife, family physician or obstetrician. Convenience and purposive sampling techniques were used. Semi-structured telephone interviews were conducted and transcribed verbatim between March and December 2020. Transcripts were analysed inductively resulting in codes, categories and themes.

RESULTS

Three themes were derived from the data about GDM screening and counselling: 'informing oneself', 'deciding' and 'screening'. All participants, regardless of geographical region, or antenatal care provider, moved through these three steps during the GDM counselling and screening process. Differences in counselling approaches between pregnancy care providers were noted throughout the 'informing' and 'deciding' stages of care. Factors influencing these differences included communication, healthcare autonomy and patient motivation to engage with health services. No differences were noted within care provider groups across the three geographic regions. Participant experiences of GDM screening were influenced by logistical challenges and personal preferences towards testing.

CONCLUSION

Informing oneself about GDM may be a crucial step for facilitating decision-making and screening uptake, with an emphasis on information provision to facilitate patient autonomy and motivation.

PATIENT OR PUBLIC CONTRIBUTION

Participants of our study included patients and service users. Participants were actively involved in the study design due to the qualitative, patient-centred nature of the research methods employed. Analysis of results was structured according to the emergent themes of the data which were grounded in patient perspectives and experiences.

Gestational diabetes mellitus: The optimal time of delivery

Gestational diabetes mellitus (GDM) is a common pregnancy complication strongly associated with poor maternal-fetal outcomes. Its incidence and prevalence have been increasing in recent years. Women with GDM typically give birth through either vaginal delivery or cesarean section, and the maternal-fetal outcomes are related to several factors such as cervical level, fetal lung maturity, the level of glycemic control still present, and the mode of treatment for the condition. We categorized women with GDM based on the latter two factors. GDM that is managed without medication when it is responsive to nutrition- and exercise-based therapy is considered diet- and exercise-controlled GDM, or class A1 GDM, and GDM managed with medication to achieve adequate glycemic control is considered class A2 GDM. The remaining cases in which neither medical nor nutritional treatment can control glucose levels or patients who do not control their blood sugar are categorized as class A3 GDM. We investigated the optimal time of delivery for women with GDM according to the classification of the condition. This review aimed to address the benefits and harms of giving birth at different weeks of gestation for women with different classes of GDM and attempted to provide an analytical framework and clearer advice on the optimal time for labor.

Establishment and validation of a predictive nomogram for gestational diabetes mellitus during early pregnancy term: A retrospective study

Objective

This study aims to develop and evaluate a predictive nomogram for early assessment risk factors of gestational diabetes mellitus (GDM) during early pregnancy term, so as to help early clinical management and intervention.

Methods

A total of 824 pregnant women at Zhongnan Hospital of Wuhan University and Maternal and Child Health Hospital of Hubei Province from 1 February 2020 to 30 April 2020 were enrolled in a retrospective observational study and comprised the training dataset. Routine clinical and laboratory information was collected; we applied least absolute shrinkage and selection operator (LASSO) logistic regression and multivariate ROC risk analysis to determine significant predictors and establish the nomogram, and the early pregnancy files (gestational weeks 12-16, n = 392) at the same hospital were collected as a validation dataset. We evaluated the nomogram via the receiver operating characteristic (ROC) curve, C-index, calibration curve, and decision curve analysis (DCA).

Results

We conducted LASSO analysis and multivariate regression to establish a GDM nomogram during the early pregnancy term; the five selected risk predictors are as follows: age, blood urea nitrogen (BUN), fibrinogen-to-albumin ratio (FAR), blood urea nitrogen-to-creatinine ratio (BUN/Cr), and blood urea nitrogen-to-albumin ratio (BUN/ALB). The calibration curve and DCA present optimal predictive power. DCA demonstrates that the nomogram could be applied clinically.

Conclusion

An effective nomogram that predicts GDM should be established in order to help clinical management and intervention at the early gestational stage.

Remote patient monitoring for management of diabetes mellitus in pregnancy is associated with improved maternal and neonatal outcomes

BACKGROUND

Diabetes mellitus is a common medical complication of pregnancy, and its treatment is complex. Recent years have seen an increase in the application of mobile health tools and advanced technologies, such as remote patient monitoring, with the aim of improving care for diabetes mellitus in pregnancy. Previous studies of these technologies for the treatment of diabetes in pregnancy have been small and have not clearly shown clinical benefit with implementation.

OBJECTIVE

Remote patient monitoring allows clinicians to monitor patients' health data (such as glucose values) in near real-time, between office visits, to make timely adjustments to care. Our objective was to determine if using remote patient monitoring for the management of diabetes in pregnancy leads to an improvement in maternal and neonatal outcomes.

STUDY DESIGN

This was a retrospective cohort study of pregnant patients with diabetes mellitus managed by the maternal-fetal medicine practice at one academic institution between October 2019 and April 2021. This practice transitioned from paper-based blood glucose logs to remote patient monitoring in February 2020. Remote patient monitoring options included (1) device integration with Bluetooth glucometers that automatically uploaded measured glucose values to the patient's Epic MyChart application or (2) manual entry in which patients manually logged their glucose readings into their MyChart application. Values in the MyChart application directly transferred to the patient's electronic health record for review and management by clinicians. In total, 533 patients were studied. We compared 173 patients managed with paper logs to 360 patients managed with remote patient monitoring (176 device integration and 184 manual entry). Our primary outcomes were composite maternal morbidity (which included third- and fourth-degree lacerations, chorioamnionitis, postpartum hemorrhage requiring transfusion, postpartum hysterectomy, wound infection or separation, venous thromboembolism, and maternal admission to the intensive care unit) and composite neonatal morbidity (which included umbilical cord pH <7.00, 5 minute Apgar score <7, respiratory morbidity, hyperbilirubinemia, meconium aspiration, intraventricular hemorrhage, necrotizing enterocolitis, sepsis, pneumonia, seizures, hypoxic ischemic encephalopathy, shoulder dystocia, trauma, brain or body cooling, and neonatal intensive care unit admission). Secondary outcomes were measures of glycemic control and the individual components of the primary composite outcomes. We also performed a secondary analysis in which the patients who used the two different remote patient monitoring options (device integration vs manual entry) were compared. Chi-square, Fisher's exact, 2-sample t, and Mann-Whitney tests were used to compare the groups. A result was considered statistically significant at P<.05.

RESULTS

Maternal baseline characteristics were not significantly different between the remote patient monitoring and paper groups aside from a slightly higher baseline rate of chronic hypertension in the remote patient monitoring group (6.1% vs 1.2%; P=.011). The primary outcomes of composite maternal and composite neonatal morbidity were not significantly different between the groups. However, remote patient monitoring patients submitted more glucose values (177 vs 146; P=.008), were more likely to achieve glycemic control in target range (79.2% vs 52.0%; P<.0001), and achieved the target range sooner (median, 3.3 vs 4.1 weeks; P=.025) than patients managed with paper logs. This was achieved without increasing in-person visits. Remote patient monitoring patients had lower rates of preeclampsia (5.8% vs 15.0%; P=.0006) and their infants had lower rates of neonatal hypoglycemia in the first 24 hours of life (29.8% vs 51.7%; P<.0001).

CONCLUSION

Remote patient monitoring for the management of diabetes mellitus in pregnancy is superior to a traditional paper-based approach in achieving glycemic control and is associated with improved maternal and neonatal outcomes.

Maternal plasma diacylglycerols and triacylglycerols in the prediction of gestational diabetes mellitus

OBJECTIVE

To define the lipidomic profile in plasma across pregnancy, and identify lipid biomarkers for gestational diabetes mellitus (GDM) prediction in early pregnancy.

DESIGN

Case-control study.

SETTING

Tertiary referral maternity unit.

POPULATION OR SAMPLE

Plasma samples from 100 GDM and 100 normal glucose tolerance (NGT) women, divided into a training set (GDM first trimester = 50, GDM second trimester = 40, NGT first trimester = 50, NGT second trimester = 50) and a validation set (GDM first trimester = 45, GDM second trimester = 34, NGT first trimester = 44, NGT second trimester = 40).

METHODS

Plasma samples were collected in the first (11⁺⁰ to 13⁺⁶ weeks), second (19⁺⁰ to 24⁺⁶ weeks), and third trimesters (30⁺⁰ to 34⁺⁶ weeks), and tested by ultra-high-performance liquid chromatography coupled with electrospray ionisation-quadrupole-time of flight-mass spectrometry; The GDM prediction model was established by the machine-learning method of random forest.

MAIN OUTCOME MEASURES

Gestational diabetes mellitus.

RESULTS

In both the GDM and NGT group, lyso-glycerophospholipids were down-regulated, whereas ceramides, sphingomyelins, cholesteryl ester, diacylglycerols (DGs) and triacylglycerols (TGs) and glucosylceramide were up-regulated across the three trimesters of pregnancy. In the training dataset, seven TGs and five DGs demonstrated good performance in the prediction of GDM in the first and second trimesters (area under the curve [AUC] = 0.96 with 95% confidence interval [CI] of 0.93-1 and AUC = 0.97 with 95% CI of 0.95-1, respectively), independent of maternal body mass index (BMI) and ethnicity. In the validation dataset, the predictive model achieved an AUC of 0.88 and 0.94 at the first and second trimesters, respectively.

CONCLUSIONS

Our results have proposed new lipid biomarkers for the first trimester prediction of GDM, independent of ethnicity and BMI.

Biochemical and molecular biomarkers: unraveling their role in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is the most prevalent metabolic disorder during pregnancy, causing short- and long-term complications for both mother and baby. GDM is a multifactorial disease, and it may be affected by interactions between genetic, epigenetic, and environmental factors. However, the exact etiology is poorly understood. Despite the high prevalence of GDM, there is still debate regarding the optimal time for screening, the diagnostic threshold to apply, and the best strategies for treatment. Identifying effective strategies for therapeutic purposes as well as accurate biomarkers for prognostic and diagnostic purposes will reduce the GDM incidence and improve its management. In recent years, new biochemical and molecular biomarkers such as microRNAs, single-nucleotide polymorphisms, and DNA methylation have received great interest in the diagnosis of GDM. In this review, we discuss current and future diagnostic approaches for the detection of GDM and evaluate lifestyle and pharmacological strategies for GDM prevention.

Pregnancy outcomes in patients receiving assisted reproductive therapy with systemic lupus erythematosus: a multi-center retrospective study

OBJECTIVES

To evaluate the safety, efficacy, and maternal and fetal outcomes of assisted reproductive therapy (ART) in systemic lupus erythematosus (SLE).

METHODS

Patients from three tertiary hospitals from Guangzhou, China followed-up from 2013 to 2022 were included retrospectively. Patients with planned or unplanned natural pregnancy were chosen as controls. ART procedure and pregnancy outcomes were recorded and compared.

RESULTS

A total of 322 ART cycles in 142 women were analyzed. Sixty-six intrauterine pregnancies out of 72 clinical pregnancies yielded 65 live infants, including 5 pairs of twins. The clinical pregnancy rate was 46.5% (66/142). The mean age at the first clinical pregnancy was 34.0 ± 3.8 years. The median (interquartile range, IQR) disease course was 42.5 (25, 84.8) months. Twenty-seven (40.9%) of them had a history of adverse pregnancy. Primary infertility occurred in 20 (30.3%) patients. Obstruction of fallopian tubes (17/66, 25.8%) and premature ovarian failure (9/66, 13.6%) were the leading causes for infertility. Ovulation induction therapy (OIT) were conducted in 60 (83.3%) pregnancies, and no ovarian hyperstimulation syndrome (OHSS) or thrombosis was observed. The leading maternal adverse pregnancy outcomes (APOs) included premature delivery (21/66, 31.8%), gestational diabetes mellitus (GDM) (15/66, 22.7%), and disease flares (10/66, 15.2%). Spontaneous premature delivery (9/21, 42.9%) and preterm premature rupture of membranes (PPROM) (6/21, 28.6%) were the leading causes for premature delivery. Preeclampsia (19.0% vs 0%, P = 0.012) increased in premature delivery. Infants delivered prematurely were likely to be low-birth-weight (LBW)/very-low-birth-weight (VLBW) (81.0% vs 7.7%, P < 0.001). Disease flares were mild (4/10, 40.0%) or moderate (5/10, 50.0%), and developed during the second (3/10, 30.0%) or third (6/10, 60.0%) trimester with favorable outcomes. Fetal loss in ART (6/66, 9.1%) was primarily attributed to early spontaneous abortion (n = 5). The average delivery time was 36.8 ± 2.1 weeks of gestation. The average birth weight was 2653.5 ± 578.6 g. LBW infants accounted for 30.8% (20/65). No neonatal death or neonatal lupus occurred. The incidence of adverse pregnancy outcomes did not increase in patients with ART compared with planned pregnancy and reduced significantly compared with an unplanned pregnancy.

CONCLUSION

The safety and efficacy of ART is assured in lupus patients with stable disease. Maternal and fetal APOs are comparable with planned pregnancy, with a relatively high incidence of premature delivery, GDM, and LBW infants.

Exploring the acceptability and experience of receiving diabetes and pregnancy care via telehealth during the COVID-19 pandemic: a qualitative study

BACKGROUND

The COVID-19 pandemic has significantly impacted the delivery of diabetes in pregnancy care and general maternity care. This study aimed to explore the experiences and acceptability of telehealth use in diabetes in pregnancy care during the COVID-19 pandemic, from the perspectives of pregnant women and their clinicians. The secondary aim was to explore the experiences of pregnant women receiving general maternity care via telehealth during the COVID-19 pandemic.

METHODS

In-depth qualitative semi-structured interviews were undertaken and analysed via thematic inductive approaches. The Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies Framework (NASSS) was applied.

RESULTS

Eigthteen interviews were conducted with culturally and linguistically diverse pregnant women and 4 clinicians (endocrinologists and dietitians). All interviewees were satisfied with telehealth as a positive alternative to face-to-face consultations for diabetes care during the COVID-19 pandemic. Numerous benefits of delivering diabetes care via telehealth were discussed and themes centred around greater access to care, economic benefits and improved safety. Most barriers concerned the adopters (clinicians), yet, feasible and realistic suggestions to overcome barriers were voiced. The scope for technology adaptation and ongoing embedment into routine diabetes care was described. Overall, a hybrid flexible delivery model, predominantly consisting of telephone consultations, with some face-to-face consultations for initial diabetes appointments was recommended for future care. The use of telehealth in replacement of face-to-face appointments for general maternity care was perceived as reducing care quality.

CONCLUSION

In this study, telehealth was viewed as acceptable to women and clinicians for diabetes in pregnancy care, supporting the ongoing delivery of a hybrid service model of telehealth and face-to-face care. These findings provide valuable information to improve diabetes in pregnancy services to meet the needs of women during the COVID-19 pandemic and beyond.

Nutrition-Education-Based Interventions in Gestational Diabetes: A Scoping Review of Clinical Trials

Cases of diabetes mellitus have seen a global increase in prevalence, but there are inherent differences in the pathology and management of different types of diabetes. Type 2 and gestational diabetes have the most similar pathophysiology. For that reason, many similar management strategies exist between type 2 and gestational diabetes, including nutrition-based interventions. Diabetes self-management education and medical nutrition therapy have been advanced as cost-effective interventions to manage hyperglycemia. Many of these interventions, however, were designed for type 2 diabetes and adapted for diabetes in gestation. Nutrition-education-based interventions in gestational diabetes have not been fully elucidated. We scrutinized this gap by conducting a scoping review of recently published peer-reviewed studies that evaluated clinical endpoints in cases of gestational diabetes with nutrition-education-based interventions. The search yielded 621 articles, and the 12 articles included were published between 2012 and 2022. The nutrition information varied across the heterogeneous diabetes self-management education, whereas the medical nutrition therapy studies were more consistent. Our literature search revealed similar outcomes across self-management education and medical nutrition therapy interventions implemented during the third trimester of pregnancies with diabetes. These results suggest that both generalized and personalized approaches to nutrition education in gestational diabetes can manage hyperglycemia and offset its adverse consequences.

Maternal Early-Life Risk Factors and Later Gestational Diabetes Mellitus: A Cross-Sectional Analysis of the UAE Healthy Future Study (UAEHFS)

Limited studies have focused on maternal early-life risk factors and the later development of gestational diabetes mellitus (GDM). We aimed to estimate the GDM prevalence and examine the associations of maternal early-life risk factors, namely: maternal birthweight, parental smoking at birth, childhood urbanicity, ever-breastfed, parental education attainment, parental history of diabetes, childhood overall health, childhood body size, and childhood height, with later GDM. This was a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) baseline data (February 2016 to April 2022) on 702 ever-married women aged 18 to 67 years. We fitted a Poisson regression to estimate the risk ratio (RR) for later GDM and its 95% confidence interval (CI). The GDM prevalence was 5.1%. In the fully adjusted model, females with low birthweight were four times more likely (RR 4.04, 95% CI 1.36-12.0) and females with a parental history of diabetes were nearly three times more likely (RR 2.86, 95% CI 1.10-7.43) to report later GDM. In conclusion, maternal birthweight and parental history of diabetes were significantly associated with later GDM. Close glucose monitoring during pregnancy among females with either a low birth weight and/or parental history of diabetes might help to prevent GDM among this high-risk group.

Antenatal maternal hypoglycemia in women with gestational diabetes mellitus and neonatal outcomes

OBJECTIVE

To examine the prevalence of antenatal maternal hypoglycemia after initiation of pharmacotherapy for gestational diabetes mellitus (GDMA2) and its association with pregnancy outcomes.

STUDY DESIGN

Retrospective cohort of GDMA2 women receiving either insulin or oral hypoglycemic agents. Composite neonatal outcome included macrosomia, jaundice, respiratory distress syndrome, large for gestational age, shoulder dystocia, birth trauma, 5-minute Apgar < 7, and neonatal hypoglycemia, and was compared between women with and without hypoglycemia using bivariate and multivariate analyses.

RESULTS

Of 489 women included in the study, 95 (19.4%) had at least one episode of hypoglycemia, most often in the setting of glyburide. Newborns exposed to maternal hypoglycemia had higher rates of the composite neonatal outcome (54.7% vs. 38.3%, p = 0.004). After controlling for confounding factors, maternal hypoglycemia remained independently associated with the composite neonatal outcome (aOR = 1.69, 95% CI 1.04-2.72).

CONCLUSION

Maternal hypoglycemia in GDMA2 was associated with higher rates of adverse neonatal outcomes.

Autism presentation in female and Black populations: Examining the roles of identity, theory, and systemic inequalities

LAY ABSTRACT

Although the prevalence of autism has been rising in recent years, disparities in diagnosis still remain. Female and Black populations in the United States are diagnosed later, are more likely to have an intellectual disability, and are excluded from research as well as services designed for autistic individuals. Autistic Black girls are effectively invisible in the current scientific literature. Intersectional theory, which looks at a person as a whole, examines models that are inclusive toward diverse gender, ability, and racial/ethnic backgrounds. This theory may be a useful approach to clinical and research work with autism so that practitioners may be most effective for the whole population of autistic people. The authors recommend research focusing on inclusion of autistic populations with intellectual disability and research studies that include evaluations as part of the procedure. Clinically, the authors recommend a focus on screening all young children for autism and improving provider knowledge in working with diverse autistic populations.

Food taboos during pregnancy: meta-analysis on cross cultural differences suggests specific, diet-related pressures on childbirth among agriculturalists

Pregnancy is the most delicate stage of human life history as well as a common target of food taboos across cultures. Despite puzzling evidence that many pregnant women across the world reduce their intake of nutritious foods to accomplish cultural norms, no study has provided statistical analysis of cross-cultural variation in food taboos during pregnancy. Moreover, antenatal practices among forager and agriculturalists have never been compared, despite subsistence mode being known to affect staple foods and lifestyle directly. This gap hinders to us from understanding the overall threats attributed to pregnancy, and their perceived nutritional causes around the world. The present study constitutes the first cross-cultural meta-analysis on food taboos during pregnancy. We examined thirty-two articles on dietary antenatal restrictions among agricultural and non-agricultural societies, in order to: (i) identify cross-culturally targeted animal, plant and miscellaneous foods; (ii) define major clusters of taboo focus; (iii) test the hypothesis that food types and clusters of focus distribute differently between agricultural and non-agricultural taboos; and (iv) test the hypothesis that food types distribute differently across the clusters of taboo focus. All data were analysed in SPSS and RStudio using chi-squared tests and Fisher's exact tests. We detected a gradient in taboo focus that ranged from no direct physiological interest to the fear of varied physiological complications to a very specific concern over increased birth weight and difficult delivery. Non-agricultural taboos were more likely to target non-domesticated animal foods and to be justified by concerns not directly linked to the physiological sphere, whereas agricultural taboos tended to targed more cultivated and processed products and showed a stronger association with concerns over increased birth weight. Despite some methodological discrepancies in the existing literature on food taboos during pregnancy, our results illustrate that such cultural traits are useful for detecting perception of biological pressures on reproduction across cultures. Indeed, the widespread concern over birth weight and carbohydrate rich foods overlaps with clinical evidence that obstructed labor is a major threat to maternal life in Africa, Asia and Eurasia. Furthermore, asymmetry in the frequency of such concern across subsistence modes aligns with the evolutionary perspective that agriculture may have exacerbated delivery complications. This study highlights the need for the improved understanding of dietary behaviors during pregnancy across the world, addressing the role of obstructed labor as a key point of convergence between clinical, evolutionary and cultural issues in human behavior.

The Perspectives of Diabetes Educators and Dietitians on Diet and Lifestyle Management for Gestational Diabetes Mellitus: A Qualitative Study

This study explores the knowledge and practice of diabetes educators and dietitians on diet and lifestyle management in women with gestational diabetes mellitus (GDM). Diabetes educators and dietitians were recruited from three maternity hospitals in Adelaide (Australia), through snowball and purposive sampling. Thirteen semistructured interviews were conducted, audio recorded, transcribed verbatim, and analysed for codes and themes. Four themes emerged: guidelines and resources, dietary intervention, management delivery, and communication. Diabetes educators and dietitians demonstrated consistent knowledge of nutritional management for GDM and uniform delivery methods. However, a lack of culturally diverse resources was highlighted, along with a lack of continuity of care across the multidisciplinary team. Barriers towards uptake of dietary intervention were reflected by diabetes educators and dietitians as women showing signs of guilt and stress and disengaging from the service. Further exploration on the knowledge and practice of diabetes educators and dietitians for GDM to best inform implementation strategies for knowledge translation of nutritional management is needed. The indication of language and cultural barriers and resources highlight an ongoing key priority area to support the care of women of ethnic minorities.

Impact of Remote Monitoring Technologies for Assisting Patients With Gestational Diabetes Mellitus: A Systematic Review

Introduction: In Chile, 1 in 8 pregnant women of middle socioeconomic level has gestational diabetes mellitus (GDM), and in general, 5–10% of women with GDM develop type 2 diabetes after giving birth. Recently, various technological tools have emerged to assist patients with GDM to meet glycemic goals and facilitate constant glucose monitoring, making these tasks more straightforward and comfortable.

Objective: To evaluate the impact of remote monitoring technologies in assisting patients with GDM to achieve glycemic goals, and know the respective advantages and disadvantages when it comes to reducing risk during pregnancy, both for the mother and her child.

Methods: A total of 188 articles were obtained with the keywords “gestational diabetes mellitus,” “GDM,” “gestational diabetes,” added to the evaluation levels associated with “glucose level,” “glycemia,” “glycemic index,” “blood sugar,” and the technological proposal to evaluate with “glucometerm” “mobile application,” “mobile applications,” “technological tools,” “telemedicine,” “technovigilance,” “wearable” published during the period 2016–2021, excluding postpartum studies, from three scientific databases: PUBMED, Scopus and Web of Science. These were managed in the Mendeley platform and classified using the PRISMA method.

Results: A total of 28 articles were selected after elimination according to inclusion and exclusion criteria. The main measurement was glycemia and 4 medical devices were found (glucometer: conventional, with an infrared port, with Bluetooth, Smart type and continuous glucose monitor), which together with digital technology allow specific functions through 2 identified digital platforms (mobile applications and online systems). In four articles, the postprandial glucose was lower in the Tele-GDM groups than in the control group. Benefits such as improved glycemic control, increased satisfaction and acceptability, maternal confidence, decreased gestational weight gain, knowledge of GDM, and other relevant aspects were observed. There were also positive comments regarding the optimization of the medical team’s time.

Conclusion: The present review offers the opportunity to know about the respective advantages and disadvantages of remote monitoring technologies when it comes to reducing risk during pregnancy. GDM centered technology may help to evaluate outcomes and tailor personalized solutions to contribute to women’s health. More studies are needed to know the impact on a healthcare system.

A Scoping Review on Gestational Diabetes in Hawai'i: A "Window of Opportunity" to Address Intergenerational Risk for Type 2 Diabetes Mellitus

The health of women over the entire span of their reproductive years is crucial - beginning in adolescence and extending through the postpartum period. This paper provides a scoping review of the relevant literature on risk factors for gestational diabetes mellitus (GDM) and progression from GDM to type 2 diabetes mellitus (T2DM), particularly among women of Native Hawaiian and Pacific Islander (NHPI) and Asian racial/ethnic backgrounds in Hawai'i, using the PubMed database (July 2010 to July 2020). NHPI and Asian populations have a greater likelihood of developing GDM compared to their White counterparts. Risk factors such as advanced maternal age, high maternal body mass index, and lack of education about GDM have varying levels of impact on GDM diagnosis between ethnic populations. Mothers who have a history of GDM are also at higher risk of developing T2DM. Common risk factors include greater increase in postpartum body mass index and use of diabetes medications during pregnancy. However, few studies investigate the progression from GDM to T2DM in Hawai'i's Asian and NHPI populations, and no studies present upstream preconception care programs to prevent an initial GDM diagnosis among Hawai'i's women. Thus, updated reports are necessary for optimal early interventions to prevent the onset of GDM and break the intergenerational cycle of increased susceptibility to T2DM and GDM in both mother and child. Further attention to the development of culturally sensitive interventions may reduce disparities in GDM and improve the health for all affected by this condition.

Racial Disparities in Gestational Diabetes by Maternal Nativity and Length of US Residence in an Urban Low-income Population in the United States

Background

Gestational diabetes mellitus (GDM) is associated with increased risk of cardiovascular disease (CVD). Racial/ethnic differences in GDM prevalence have been described, but disparities by nativity and duration of US residence are not well studied.

Methods

We analyzed data from 6088 women (mean age: 27.5 years [standard deviation: 6.3 years]) from the Boston Birth Cohort who self-identified as non-Hispanic Black (NHB; n = 2697), Hispanic (n = 2395), or non-Hispanic White (NHW; n = 996). Using multivariable logistic regression, we examined the cross-sectional association of nativity and duration of US residence (< 10 vs ≥ 10 years) with GDM within each race/ethnicity group.

Results

Foreign-born NHB, NHW, and Hispanic women with a duration of US residence of < 10 years had a lower prevalence of CVD risk factors than those with US residence of ≥ 10 years, respectively, as follows: smoking (NHB: 1.7% vs 3.1%; NHW: 5.7% vs 8.1%; Hispanic: 0.4% vs 2.6%); obesity (NHB: 17.1% vs 23.4%; NHW: 3.8% vs 15.6%; Hispanic: 10.9% vs 22.7%); and severe stress (NHB: 8.7% vs 11.9%; NHW: 5.7% vs 28.1%; Hispanic: 3.8% vs 7.3%). In analyses adjusting for sociodemographic characteristics and CVD risk factors, foreign-born NHB women with a duration of US residence of < 10 years had higher odds of having GDM (adjusted odds ratio: 1.60, 95% confidence interval: 0.99-2.60), compared with their US-born counterparts, whereas foreign-born Hispanic women with a duration of US residence of < 10 years had lower odds of having GDM (adjusted odds ratio: 0.54, 95% confidence interval: 0.32-0.91). The odds of having GDM in Hispanic and NHB women with a duration of US residence of ≥ 10 years were not significantly different from those of their US-born counterparts.

Conclusions

The “healthy immigrant effect” and its waning with longer duration of US residence apply to the prevalence of GDM among Hispanic women but not NHB women. Further research on the intersectionality of race and nativity-based disparities is needed.

"Post-GDM support would be really good for mothers": A qualitative interview study exploring how to support a healthy diet and physical activity after gestational diabetes

BACKGROUND

Women with a history of gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes mellitus (T2DM). They are therefore recommended to follow a healthy diet and be physically active in order to reduce that risk. However, achieving and maintaining these behaviours in the postpartum period is challenging. This study sought to explore women's views on suggested practical approaches to achieve and maintain a healthy diet and physical activity to reduce T2DM risk.

METHODS

Semi-structured interviews with 20 participants in Cambridgeshire, UK were conducted at three to 48 months after GDM. The participants' current diet and physical activity, intentions for any changes, and views on potential interventions to help manage T2DM risk through these behaviours were discussed. Framework analysis was used to analyse the transcripts. The interview schedule, suggested interventions, and thematic framework were based on a recent systematic review.

RESULTS

Most of the participants wanted to eat more healthily and be more active. A third of the participants considered that postpartum support for these behaviours would be transformative, a third thought it would be beneficial, and a third did not want additional support. The majority agreed that more information about the impact of diet and physical activity on diabetes risk, support to exercise with others, and advice about eating healthily, exercising with a busy schedule, monitoring progress and sustaining changes would facilitate a healthy diet and physical activity. Four other suggested interventions received mixed responses. It would be acceptable for this support to be delivered throughout pregnancy and postpartum through a range of formats. Clinicians were seen to have important roles in giving or signposting to support.

CONCLUSIONS

Many women would appreciate more support to reduce their T2DM risk after GDM and believe that a variety of interventions to integrate changes into their daily lives would help them to sustain healthier lifestyles.

Gestational diabetes in women with obesity; an analysis of clinical history and simple clinical/anthropometric measures

AIM

We assessed clinical risk factors, anthropometric measures of adiposity and weight gain to determine associations with development of GDM in a cohort of pregnant women with obesity.

METHODS

This was a secondary analysis of the UPBEAT trial of a complex lifestyle intervention in pregnant women with obesity (ISRCTN89971375). Clinical risk factors, and measures of adiposity and weight were assessed in the early 2nd trimester (mean 17 +0 weeks), and adiposity and weight repeated in the early 3rd trimester (mean 27 +5 weeks').

RESULTS

Of the 1117 women (median BMI 35.0 kg/m2) with complete data, 25.8% (n = 304) developed GDM (IADPSG criteria, OGTT 24-28weeks). Using multivariable analysis, early clinical risk factors associated with later development of GDM included age (adj OR 1.06 per year; 95% CI 1.04-1.09), previous GDM (3.27; 1.34-7.93) and systolic blood pressure (per 10mmHg, 1.34; 1.18-1.53). Anthropometric measures positively associated with GDM included second trimester (mean 17+0 weeks) subscapular skinfold thickness, (per 5mm, 1.12; 1.05-1.21), and neck circumference (per cm, 1.11; 1.05-1.18). GDM was not associated with gestational weight gain, or changes in skinfolds thicknesses or circumferences between visits.

CONCLUSIONS

In this cohort of women with obesity, we confirmed clinical risk factors for GDM, (age, systolic blood pressure) previously identified in heterogeneous weight women but add to these indices of adiposity which may provide a discriminatory approach to GDM risk assessment in this group. This study also underscores the need to focus on modifiable factors pre-pregnancy as an opportunity for GDM prevention, as targeting gestational weight gain and adiposity during pregnancy is likely to be less effective.

Knowledge of gestational diabetes mellitus at first consultation in a multi-ethnic pregnant population in the Oslo region, Norway - a cross-sectional study

Objectives: Gestational diabetes mellitus (GDM) is an increasing problem among pregnant women globally and is associated with short- and long-term consequences for both mother and newborn. The aim of this study was to investigate knowledge of GDM among a multi-ethnic pregnant population at first consultation for GDM in the Oslo region in Norway.Design: We conducted a cross-sectional study using baseline data from a randomised controlled study performed at five diabetic outpatient clinics (DOC) in the Oslo region. Pregnant women diagnosed with GDM following an Oral Glucose Tolerance test (OGTT) with a 2-hours blood glucose level of ≥ 9 mmol/l were included. Women filled out a questionnaire on an electronic tablet at the study entry, and additional data were collected through a recruiting form. Descriptive statistics were performed and associations were investigated using Chi-square test and multiple logistic regression analysis.Results: Of 238 women included in the study, 108 (45.4%) were native Norwegian speakers and 130 (54.6%) were non-native Norwegian speakers. 39.5% of the non-native Norwegian speakers were Asian, 22.5% were African, and 15.5% were from Eastern European Countries. Non-native Norwegian speakers were significantly more likely to have poor knowledge of GDM compared to native Norwegian speakers, adjusted OR = 4.5, 95% CI 1.61-12.5. Sensitivity analyses showed this was not due to poor language skills.Conclusions: Ethnic background was associated with the level of knowledge of GDM. Health professionals should be aware of the various knowledge levels concerning GDM and tailor their information towards women's knowledge. Linguistically- and culturally adapted information regarding GDM may improve knowledge gaps among women with immigrant backgrounds.

Predictors of Treatment Requirements in Women with Gestational Diabetes: A Retrospective Analysis

The diagnosis of gestational diabetes is usually very stressful for pregnant women, especially because they fear that insulin treatment may become necessary. Knowledge about personal risk factors predicting the probability of insulin treatment could therefore help to improve acceptance of the diagnosis and therapy adherence. The aim of this study was to find potential risk factors for insulin dependency and treatment requirements using information available at the time of diagnosis of gestational diabetes during pregnancy. We included 454 singleton pregnancies diagnosed ≥24 weeks of gestation. Multivariate regression analysis was used to evaluate independent associations of metabolic, anthropometric and fetal ultrasound parameters with the general need for insulin treatment and further stratified treatment options: diet (n = 275), bolus insulin only (n = 45), basal insulin only (n = 73) and multiple daily injections (n = 61). Receiver operator characteristics and cut-off values for independent variables were generated. Treatment groups differed significantly concerning pre-pregnancy weight and BMI as well as fasting glucose and 1 h glucose test values. Significant cut-offs for insulin dependency were HbA1c level of 5.4%, FPG of 5.5 mmol/L and 1 h glucose of 10.6 mmol/L. At time of diagnosis, certain patient characteristics and measurements can help to predict treatment necessities and therefore improve individualized counselling.

Non-fasting OGTT versus Fasting OGTT for screening of Hyperglycaemia in Pregnancy (HIP)

OBJECTIVES

To compare the reliability of non-fasting oral glucose tolerance test (OGTT) versus fasting OGTT for screening of hyperglycaemia in pregnancy (HIP).

METHODS

This cross sectional analytic study was conducted by the Department of Obstetrics & Gynaecology, Isra University Karachi Campus from October 2016 to April 2017. A total of 225 pregnant women irrespective of gestational age were included in the study. They underwent non fasting 75 grams OGTT. Venous plasma glucose was done 02 hours after the glucose load. Same women were advised to come again within three to seven days for fasting OGTT. Venous plasma glucose (VPG) was estimated in fasting and 2 hours post glucose load.

RESULTS

Using the non-fasting OGTT, out of 204 women, 32 were diagnosed with hyperglycemia. All these 204 women were again called for fasting OGTT three to seven days after the initial non-fasting OGTT. Only nine were diagnosed with hyperglycemia, out of these nine women, seven women who were screen positive on non-fasting OGTT were found to be screen positive on fasting OGTT as well. However, only two women were additionally diagnosed with hyperglycemia who were initially screen negative on non-fasting OGTT. The non-fasting OGTT has diagnosed HIP with sensitivity of 77.7%, specificity of 87.1%, positive predictive value of 21.8% and negative predictive value of 98.8%.

CONCLUSION

The use of the non-fasting OGTT at first antenatal visit may be a practical approach to detect the HIP as screening and diagnostic tool in the resource constrained settings.

Risk of gestational diabetes mellitus by pre-pregnancy body mass index: A systematic review and meta-analysis

Gestational diabetes mellitus (GDM) is serious health challenges. This study aimed at determining the risk of GDM among pregnant women by pre-pregnancy BMI. Five electronic databases including Medline (PubMed), Scopus, Embase, Web of Science and Google Scholar were searched for literature published form 2015 to January 1, 2021. The pooled estimate risk of GDM among pregnant women was 16.8% (95% CI: 15.3-18.4). The risk of GDM in underweight/normal group and overweight/obese group were 10.7% (95% CI: 9.1-12.4) and 23% (95% CI: 20.2-25.9), respectively. The risk of GDM is high among overweight/obese pregnant women.

Relationship between advanced glycated end products and maternal cognition in gestational diabetes: a case control study

OBJECTIVE

Gestational diabetes (GDM) is a form of glucose intolerance which manifests during pregnancy. There is lack of literature regarding the study of cognitive functions in GDM. Recent evidences suggests an increase in accumulation of serum Advanced glycated end products (AGE'S) during GDM. Accumulation of AGE's in brain can induce changes in permeability of blood brain barrier and creates oxidative stress and inflammation that can alter cognitive functions. In this study we hypothesize that diagnosis of GDM in pregnancy is related to lower cognitive scores which is correlated to increased serum AGE's level.

METHOD

This was a cross sectional case control study which recruited 60 participants in total consisting of two groups with 30 participants in each - diagnosed cases of GDM and healthy pregnant controls. Subjects were recruited from OPD of Obstetrics & Gynecology department in a tertiary care hospital in South India at gestational age of 32-36 weeks. On the first appointment, biochemical parameters of Fasting plasma glucose (FPG) & HbA1C was measured in both groups. Serum was obtained for testing levels of N Carboxy methyl lysine (N-CML) (a form of AGE). On second appointment, pen and paper neurocognitive tests including Montreal cognitive tests (MOCA) and Trail making test (TMT A & B) was presented. Event related potentials (ERP's) are time locked EEG wave signals produced in response to a sensory, motor or cognitive event. P300 is an "endogenous" ERP produced by cognitive processing in response to a stimuli presented to subject. P300 wave Latency and amplitude was recorded in both the groups as an objective marker of cognitive processing. Above mentioned biochemical and neurocognitive parameters were compared between both the groups and correlation analysis between serum AGE levels and neurocognitive parameters was performed using SPSS software.

RESULTS

Biochemical parameters of HbAIC & N-CML(A form of AGE) levels were increased in GDM group (HbA1C 6.01±0.30 and N CML 236.25 ± 68.9) vs Control group (HbA1C 4.11 ± 0.68 and NCML 198.42 ± 44.2). Scores in MOCA were significantly lower in GDM (28 (27-29)) group as compared to controls (24 (23-25)). GDM subjects took significantly greater time to perform TMT A (24.59 ± 2.60 s) test than controls (29.7 ± 1.72 s). Significant changes were not found in P300 Latency & amplitude in GDM group. Decreased MOCA scores and increased duration of TMT A attempt were correlated with increased serum AGE concentration in GDM group.

CONCLUSIONS

Our study indicates the vulnerability of women suffering from GDM to cognitive impairment during pregnancy. Lower scores in cognitive tests were correlated to AGE accumulation in GDM women.

Gestational diabetes among women of migrant origin in Finland-a population-based study

BACKGROUND

Migrant women may have a higher risk for gestational diabetes mellitus (GDM) and the related adverse outcomes. We studied the prevalence of GDM among migrant-origin women in Finland.

METHODS

This study used data from the nationwide Medical Birth Register. Information on the most recent singleton births of women delivering between 2004 and 2014 (N = 379 634) was included. Women were classified into nine regional categories based on the country of origin. Finnish origin women were the reference group. Generalized linear models adjusted for maternal age, parity, socioeconomic position, pre-pregnancy body mass index and year of delivery were used to study the association between region/country of origin and GDM.

RESULTS

Among the study population, almost 8% were of migrant origin. The prevalence of GDM varied from 6.1% (women of Latin American/Caribbean origin) to 18.4% (South Asian origin), compared to 8.7% in the Finnish reference group. When adjusted for confounders, women of South Asian, East Asian, Middle Eastern/North African and Russian/former USSR origin had a higher risk for GDM than Finnish origin women. By country of origin, women originating from Pakistan, Bangladesh, Sri Lanka, India, Afghanistan, Nepal, China, Philippines, Vietnam, Thailand, Morocco, Turkey, Iran, Iraq and former USSR had a higher risk for GDM than Finnish origin women.

CONCLUSIONS

There is substantial variation in the prevalence of GDM by country of origin. Women of South Asian, East Asian and Middle Eastern/North African origin had the highest risk for GDM and may warrant special attention.

Placenta inflammation is closely associated with gestational diabetes mellitus

OBJECTIVE

To investigate the potential role of placenta inflammation in gestational diabetes mellitus (GDM) and construct a model for the diagnosis of GDM.

METHODS

In this study, transcriptome-wide profiling datasets, GSE70493 and GSE128381 were downloaded from Gene Expression Omnibus (GEO) database. Significant immune-related genes were identified separately to be the biomarkers for the diagnosis of GDM by using random forest model (RF), support vector machine model (SVM), and generalized linear model (GLM).

RESULTS

RF was the best model and was used to select the four key immune-related genes (FABP4, DKK1, CXCL10, and IL1RL1) to diagnose GDM. A nomogram model was constructed to predict GDM based on the four key immune-related genes by using "rms" package. The relative proportion of 22 immune cell types were calculated by using CIBERSORT algorithm. Higher M1 macrophage ratio and lower M2 macrophage ratio in GDM placenta compared to normal patients were observed.

CONCLUSIONS

This study provides clues that inflammation was correlated with GDM and suggests inflammation may be the cause and also the potential targets of GDM.

Tackling inequality in maternal health: Beyond the postpartum

Healthcare systems prioritise antenatal and intrapartum care over the postpartum period. This is reflected in clinical resource allocation and in research agendas. But from metabolic disease to mental health, many pregnancy-associated conditions significantly affect patients' lifelong health. Women from black and ethnic minority backgrounds and lower socioeconomic groups are at greater risk of physical and psychiatric complications of pregnancy compared to white British women. Without sufficiently tailored and accessible education about risk factors, and robust mechanisms for follow-up beyond the traditional 6-week postpartum period, these inequalities are further entrenched. Identifying approaches to address the needs of these patient populations is not only the responsibility of obstetricians and midwives; improvement requires cooperation from healthcare professionals from a wide range of specialties. Healthcare systems must encourage data collection on the long-term effects of metabolic and psychiatric conditions after the postpartum, and s support research that results in evidence-based care for the neglected field of women's postpartum health.