Effects of household air pollution and healthy lifestyle associated with gestational diabetes mellitus.

This study investigated the effect of household air pollution on pregnant women with GDM, and assessed the modifying effect of a healthy lifestyle on this relationship. Household solid fuel exposure was defined as using solid fuels (coal, crop residue, and wood) for cooking and heating. Four individually modifiable lifestyle factors were assessed in early pregnancy: body mass index, diet, sleep, and vitamin D supplementation. Multifactorial logistic regression modeling was used to assess the relationship between household air pollution and GDM. A stratified analysis and additive interaction tested the effects of healthy lifestyle scores. After adjusting for potential confounders, we found that using solid fuels for heating was significantly associated with an increased risk of GDM (adjusted OR = 1.60, 95% CI 1.18-2.18). GDM risk showed a decreasing trend in the medium versus the high score group when compared to the low score group, with a consistent trend regardless of household fuel type used (adjusted OR = 0.39, 95% CI 0.27-0.57) (adjusted OR = 0.12, 95% CI 0.05-0.28), respectively. Importantly, when the healthy lifestyle score increased, exposure to household air pollution was no longer associated with a higher GDM risk. There was a negative additive interaction between exposure to household solid fuels exposure and a healthy lifestyle (FERI: -5.10 [-16.48, -2.04]; AP: -1.29 [-2.80, -0.39]; SI: -0.37 [-0.20, -0.67]). We determined that exposure to household air pollution may be an important GDM risk factor. In addition, A healthy lifestyle may have a protective effect on women with GDM exposed to indoor fuel air pollution.

Breast cancer in women with previous gestational diabetes: a nationwide register-based cohort study.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication characterized by insulin resistance. A link has been suggested between insulin resistance and breast cancer, which is the most common cancer in women. Hence, women with previous GDM may be at increased risk of developing breast cancer, yet, the existing evidence is conflicting. This study explored the association between GDM and incident breast cancer, including age at cancer diagnosis. Additionally, we investigated the potential impact of severity of insulin resistance during pregnancy and of subsequent diabetes development on the breast cancer risk. METHODS: We conducted a nationwide, register-based cohort study including all women giving birth in Denmark from 1997 to 2018. We defined GDM and breast cancer based on ICD-10 codes. Premenopausal and postmenopausal breast cancer was pragmatically defined as age at outcome < 50 years and ≥ 50 years, respectively. A proxy for severity of insulin resistance during pregnancy was based on insulin treatment; subsequent diabetes was defined as presence of ICD-10 codes and/or antidiabetic medication after pregnancy. The statistical analyses included Cox regression, logistic regression and t-test. RESULTS: Of 708,121 women, 3.4% had GDM. The median follow-up period was 11.9 years (range 0-21.9). The overall breast cancer risk was comparable in women with and without previous GDM (adjusted hazard ratio 0.96 [95% CI 0.83-1.12]). Premenopausal and postmenopausal breast cancer risk also did not differ; however, women with previous GDM had a breast cancer diagnosis at younger age (42.6 vs. 43.5 years, p-value 0.01). All-cause mortality was similar regardless of GDM history. Severity of insulin resistance during pregnancy and subsequent diabetes did not affect breast cancer risk. CONCLUSIONS: This large, population-based cohort study showed no higher risk of incident breast cancer in women with previous GDM compared to women without previous GDM after a median of almost 12 years of follow-up. This was evident irrespective of menopausal state. The breast cancer risk was not influenced by the severity of insulin resistance during pregnancy and by subsequent diabetes development. Regardless of GDM history, attention towards prevention, early detection and treatment of breast cancer should be prioritized.

Breastfeeding frequency and incidence of type 2 diabetes among women with previous gestational diabetes compared to those without: a historical cohort study in the UK.

BACKGROUND: There is a growing body of research to suggest that women with gestational diabetes are less likely to initiate and continue breastfeeding than those who have not had however findings are mixed. There is limited research in the UK assessing the frequency of breastfeeding in women with gestational diabetes, none reporting the association of breastfeeding with incidence of type 2 diabetes and existing research has not adequately adjusted for potential confounders. This study aims to assess frequency of breastfeeding among women with gestational diabetes compared to those without, and to explore how breastfeeding influences risk of future type 2 diabetes in women with gestational diabetes while adjusting for known confounders. METHODS: Historical cohort study using routinely collected health care data from Fife and Tayside Health Boards, Scotland, UK including all women diagnosed with gestational diabetes between 1993 and 2015 and a matched comparator cohort (n = 4,968). Women with gestational diabetes were followed up until a diagnosis of type 2 diabetes, the end of the study, or date of death. Multinomial logistic regression was used to estimate odds ratios for breastfeeding for the whole sample and the association between breastfeeding and development of type 2 diabetes in women with gestational diabetes was assessed by Cox regression. RESULTS: Women with a diagnosis of gestational diabetes, who were younger, overweight/obese or living in the most deprived areas were significantly less likely to exclusively breastfeed for a duration of longer than eight weeks. Risk of developing type 2 diabetes among women with gestational diabetes was significantly higher for those who exclusively breastfed less than 8 weeks, lived in the most deprived areas or had a family history of diabetes. CONCLUSIONS: This study confirms the important role of a short duration of exclusive breastfeeding in protecting women with gestational diabetes against type 2 diabetes but highlights the challenges to breastfeeding in this group. Interventions are needed to support breastfeeding among women with gestational diabetes that are acceptable to younger, overweight/obese women living in deprived areas.

Association between serum branched chain amino acids, mammalian target of rapamycin levels and the risk of gestational diabetes mellitus: a 1:1 matched case control study.

BACKGROUND: To investigate the association between serum branched chain amino acids (BCAAs), mammalian target of rapamycin (mTOR) levels and the risk of gestational diabetes mellitus (GDM) in pregnant women. METHODS: 1:1 matched case-control study was conducted including 66 GDM patients and 66 matched healthy pregnant women (± 3 years) in 2019, in China. Fasting bloods of pregnant women were collected in pregnancy at 24 ~ 28 weeks gestation. And the serum levels of valine (Val), leucine (Leu), isoleucine (Ile) and mTOR were determined. Conditional logistic regressions models were used to estimate the associations of BCAAs and mTOR concentrations with the risk of GDM. RESULTS: Concentrations of serum Val and mTOR in cases were significantly higher than that in controls (P < 0.05). After adjusted for the confounded factors, both the second tertile and the third tertile of mTOR increased the risk of GDM (OR = 11.771, 95%CI: 3.949-35.083; OR = 4.869 95%CI: 1.742-13.611, respectively) compared to the first tertile of mTOR. However, the second tertile of serum Val (OR = 0.377, 95%CI:0.149-0.954) and the second tertile of serum Leu (OR = 0.322, 95%CI: 0.129-0.811) decreased the risk of GDM compared to the first tertile of serum Val and Leu, respectively. The restricted cubic spline indicated a significant nonlinear association between the serum levels of mTOR and the risk of GDM (P values for non-linearity = 0.0058). CONCLUSION: We confirmed the association of higher mTOR with the increased risk of GDM in pregnant women. Pregnant women who were in the certain range level of Val and Leu were at lower risk of GDM. Our findings provided epidemiological evidence for the relation of serum BCAAs and mTOR with risk of GDM.

Effects of the COVID-19 pandemic on maternal-fetal outcomes in a nonepidemic designated hospital: a retrospective study and clinical experience summary.

OBJECTIVE: To assess the changes in maternal-fetal outcomes in a nonepidemic designated hospital during the COVID-19 pandemic. METHODS: This retrospective cohort study was conducted between January 1, 2019, and December 31, 2021 on pregnant patients. The fixed-effects regression model was used to determine changes in birth outcomes and pregnancy-related complications between three periods with the pre-epidemic cohort as the control group. Logistic regression was applied to determine the odds ratio (OR) for binary outcomes. RESULTS: There were 15,261 births during the pre-epidemic period, and this number decreased by 15% and 23% to 12,980 and 11,736 in the first and second epidemic cohorts, respectively. The mean birth weight during the pre-epidemic period was 3319 which decreased to 3309 and 3272 g in the following periods. Excluding stillbirth and preterm, all other outcomes differed significantly between the three periods. Gestational diabetes mellitus (GDM) (17-19%) and maternal hypertension (9.2-11%) appeared to increase. Compared to the pre-epidemic period, the odds of macrosomia and LGA significantly decreased in the second epidemic cohort (adjusted ORs: 0.76 and 0.8), while the odds of low birth weight (LBW) and small gestation age (SGA) increased (ORs: 1.25 and 1.16). The odds of neonatal asphyxia (OR: 1.4), and hypertension (OR: 1.29) appeared to increase in the second epidemic cohort, while GDM decreased in the first cohort (OR: 0.88) and increased in the second cohort (OR: 1.15). Vaginal delivery underwent a marginal decrease in both the first and second epidemic cohorts (ORs: 0.89 and 0.92). CONCLUSION: The COVID-19 pandemic may have had a substantial and long-term impact on non-infected pregnant women and newborns. Our research results provided precious research information and clinical experience summary for population health research in the future.

Telephone lifestyle intervention to prevent diabetes in women with recent gestational diabetes mellitus attending the national health system: the LINDA-Brasil clinical trial.

OBJECTIVES: To evaluate a postpartum telephone-based lifestyle intervention to prevent diabetes in high-risk women with recent gestational diabetes mellitus (GDM). DESIGN: Multicentre parallel randomised clinical trial. SETTING: Specialised antenatal clinics in the Brazilian National System. METHODS: Lifestyle Intervention for Diabetes Prevention After Pregnancy compared (1:1) postpartum telephone support for lifestyle changes with conventional care in women with recent GDM at substantial risk for diabetes. Randomisation started on 28 March 2015 and ended on 13 March 2020, with the onset of the COVID-19 pandemic. We used Cox regression to estimate HRs for diabetes and analysis of covariance adjusted for follow-up time to assess weight change. OUTCOMES: The primary outcome was incident diabetes ascertained with blinded measurements of oral glucose tolerance tests. The secondary outcome was a change in measured weight. RESULTS: We enrolled 5323 women with GDM, 2735 (51%) being at high risk. After invitations, baseline assessment and exclusions, we assigned 466 women to intervention (231) or control (235) groups. Attendance was satisfactory (≥7/20 phone sessions) in 75%. Over an average follow-up of 29.7 (15.6) months, 142 (30.5%) women progressed to diabetes, 75 (32%) in the control and 67 (29%) in the intervention group. There was no reduction in the incidence of diabetes (HR=0.84; 0.60-1.19) and only a non-significant 0.97 kg less weight gain (p=0.09). Among the 305 women randomised more than 1 year before the COVID-19 pandemic, the intervention did not reduce the incidence of diabetes (HR=0.71; 0.48-1.04) despite a 2.09 kg (p=0.002) lesser weight gain. CONCLUSION: The strategy to identify women with GDM at high risk proved valid, as women often gained weight and frequently developed diabetes. Over a 30-month follow-up, telephone support for lifestyle changes at postpartum did not reduce weight gain or diabetes incidence, although only 75% attended the minimum number of telephone sessions. The COVID-19 pandemic negatively impacted trial conduction. TRIAL REGISTRATION NUMBER: NCT02327286.

Assessment of neonatal glycaemic status and comorbidities in infants of diabetic mothers admitted to the neonatal care unit of Al-Ramadi Teaching Hospital for maternity and childhood, Iraq.

OBJECTIVE: To assess neonatal and maternal characteristics, glycaemic status and comorbidities in the neonates of diabetic mothers. METHODS: The cross-sectional study was conducted from October 2021 to May 2022 at the Department of Physiology, College of Medicine, University of Mustansiriyah, Baghdad, Iraq, and comprised healthy women. Samples were raised by simple random technique. Digital pulse waves were captured using a fingertip pulse wave transducer. Lab Chart Pro version 7.2 was used to automatically detect and quantify the amplitude of A, B, C, D and E waves expressed by the second derivative. QT interval of each beat was recorded by electrocardiogram, and was calculated automatically via Lab chart Pro version 7.2 without averaging. Data was spread out on Microsoft Office Excel 2013 and analysed using SPSS version 26. RESULTS: Among the 70 mothers, aged between 18 to 44 years, gestational diabetes was the commonest type 52(74.3%), and, among the 70 neonates, 52(74.3%) developed mild hypoglycaemia, 12(17.1%) hypocalcaemia, 26(37.1%) congenital heart disease, 50(71.4%) respiratory distress syndrome, 24(34.3%) hyperbilirubinaemia, 2(2.9%) congenital anomalies, 6(8.6%) prematurity, and 4(5.7%) developed birth asphyxia. Prematurity, female gender and low birthweight were significantly associated with hypoglycaemia (p<0.05). No significant differences were detected in terms of neonatal complications between pregestational and gestational diabetic mothers (p>0.05). CONCLUSIONS: Diabetic pregnancies were linked to a higher risk of neonatal complications.

Association between dietary patterns and infant birth weight in brazilian pregnancy women with gestational diabetes: a cross-sectional study.

Objective: To evaluate the association between the dietary patterns (DPs) of pregnant women with GDM (gestational diabetes mellitus) and the birth weight (BW) of the infants. Methods: Cross-sectional study with 187 adult pregnant women with GDM attended at a maternity in Rio de Janeiro from 2011 to 2014. Dietary intake was assessed in the third trimester using a semiquantitative food frequency questionnaire (FFQ). The outcomes were BW and weight adequacy for gestational age (GA). Reduced Rank Regression (RRR) was used to explain the following response variables: density of carbohydrates, fibres, and saturated fatty acids. Statistical analyzes included multinomial logistic regression models. Results: The mean BW was 3261.9 (± 424.5) g. Three DPs were identified, with DP 3 (high consumption of refined carbohydrates, fast foods/snacks, whole milk, sugars/sweets, and soft drinks and low consumption of beans, vegetables, and low-fat milk and derivatives) being the main pattern, explaining 48.37% of the response variables. In the multinomial logistic regression analysis no statistically significant association was found between the tertiles of DPs and BW or the adequacy of weight for GA, even after adjustments of confounding covariates. Conclusion: No significant associations were found between maternal DPs in the third trimester of pregnancy and infant BW or adequacy of weight for GA.

Prevalence and factors associated with gestational diabetes mellitus in Malaysia: a population-based study comparing 2016 and 2022.

BACKGROUND: Gestational diabetes mellitus (GDM) poses substantial health risks to both mothers and infants. Malaysia exhibits a heightened prevalence of GDM. OBJECTIVE: This study aims to examine the changes in the prevalence of GDM between 2016 and 2022 and its determining factors. METHODS: The data analysed in this study were derived from the National Health and Morbidity Survey (NHMS) 2016 and 2022, a nationwide study employing a two-stage stratified random sampling design in Malaysia. Changes in the prevalence were compared between data from NHMS 2016 and 2022, while factors were evaluated based on data from NHMS 2022. Descriptive statistics and multiple logistic regression analyses were performed using IBM SPSS version 27. RESULTS: The prevalence of GDM increased from 12.5% in 2016 to 27.1% in 2022. In both years, the prevalence was highest among those aged 44-49 years, those of Indian ethnicity, those in higher income groups and those with higher education levels. Advanced maternal age, high body mass index (BMI) and hypertension were associated with a greater risk of GDM. CONCLUSION: The prevalence of GDM among the Malaysian population doubled from 2016 to 2022. The findings underscore the importance of implementing targeted programs for expectant mothers in high-risk groups to mitigate the incidence of GDM and its associated morbidities.

High Risk Pregnancy and its Outcome in a Tertiary Care Hospital: A Descriptive Cross-sectional Study.

INTRODUCTION: High-risk pregnancy is defined as one which is complicated by factors or factors that adversely affect the pregnancy outcome (maternal, perinatal or both). Early detection and effectivemanagement of high risk pregnancy helps in achieving favorable maternal and perinatal outcomes. This study aimed to find the prevalence of high risk pregnancy and its outcome among pregnant women admitted for delivery in the obstetrics and gynecology department of a tertiary care hospital Methods: A descriptive cross sectional study was conducted in a tertiary care hospital among high risk pregnant women admitted for delivery using structured proforma, from April 2023 to September 2023 after obtaining ethical approval from the Institutional Review Committee. Convenience sampling was used among pregnant women who met the inclusion criteria. Data was entered in excel and analysis was done using IBM SPSS Statistics. Point estimate was calculated at 95% Confidence Interval Results: Among 350 deliveries, high risk pregnancy was seen in 91 (26%) (16.15-32.00, 95% Confidence Interval). The high risk factors were previous history of cesarean section 25 (27.47 %) followed by hypothyroidism 19 (20.87%) and gestational diabetes mellitus 15 (16.48%). Out of 90 high risk pregnancy, 84 (92.30%) had term delivery. Lower segment cesarean section was done in 69 (75.82%) patients of which 26 (28.57%) underwent emergency cesarean section. The total number of births among high risk preganancies were 93 with two sets of twin births. A total of 13 (13.97%) of the babies had low-birth weight. CONCLUSIONS: The prevalence of high risk pregnancy was found to be similar as compared to studies done in similar settings.

Gestational diabetes complicated with preterm birth: a retrospective cohort study.

OBJECTIVE: To delineate the clinical characteristics of preterm birth (PTB) in the context of gestational diabetes mellitus (GDM). METHODS: A retrospective cohort study was conducted, including 14,314 pregnant women with GDM who delivered at Fujian Provincial Maternity and Children's Hospital from January 1, 2018, to December 31, 2021. PTB was stratified into late PTB (34-36 weeks of gestation) and early PTB (< 34 weeks) and pregnancy complications were analyzed. RESULTS: Compared to the term birth (TB) cohort, a higher prevalence of premature rupture of membranes, hypertensive diseases of pregnancy (HDP), intrahepatic cholestasis of pregnancy (ICP), anemia and cervical insufficiency was observed in the PTB cohort. Notably, early PTB increased the incidence of HDP, ICP, anemia and cervical insufficiency compared to late PTB. In the early stages of pregnancy, early PTB was characterized by elevated triglyceride (TG) levels and decreased high-density lipoprotein cholesterol (HDL-C) levels compared to late PTB. In the late pregnancy stages, early PTB was associated with increased white blood cell (WBC) and neutrophil counts. No disparities were observed in 75 g oral glucose tolerance test (OGTT) between early and late PTB. CONCLUSION: Enhanced surveillance and management of GDM, particularly in the presence of HDP, ICP and anemia, are imperative to mitigate the risk of PTB. The lipid profile may serve as a predictive tool for early PTB in the early stages of pregnancy, warranting further studies.

Titanium exposure and gestational diabetes mellitus: associations and potential mediation by perturbation of amino acids in early pregnancy.

BACKGROUND: Several recent studies reported the potential adverse effects of titanium exposure on glucose homeostasis among the non-pregnant population, but the association of titanium exposure with gestational diabetes mellitus (GDM) is scarce. METHODS: The present study of 1,449 pregnant women was conducted within the Jiangsu Birth Cohort (JBC) study in China. Urine samples were collected in the early pregnancy, and urinary titanium concentration and non-targeted metabolomics were measured. Poisson regression estimated the association of titanium exposure in the early pregnancy with subsequent risk of GDM. Multiple linear regression screened for titanium-related urine metabolites. Mediation analyses assessed the mediating effects of candidate metabolites and pathways. RESULTS: As parameterized in tertiles, titanium showed positive dose-response relationship with GDM risk (P for trend = 0.008), with women at the highest tertile of titanium exposure having 30% increased risk of GDM [relative risk (RR) = 1.30 (95% CI: 1.06, 1.61)] when compared to those exposure at the first tertile level. Meanwhile, we identified the titanium-related metabolites involved in four amino acid metabolic pathways. Notably, the perturbation of the aminoacyl-tRNA biosynthesis and alanine, aspartate and glutamate metabolism mediated 27.1% and 31.0%, respectively, of the relative effect of titanium exposure on GDM. Specifically, three titanium-related metabolites, choline, creatine and L-alanine, demonstrated predominant mediation effects on the association between titanium exposure and GDM risk. CONCLUSIONS: In this prospective study, we uniquely identified a correlation between early pregnancy titanium exposure and increased GDM risk. We unveiled novel insights into how perturbations in amino acid metabolism may mediate the link between titanium exposure and GDM. Notably, choline, creatine, and L-alanine emerged as key mediators influencing this association. Our findings imply that elevated titanium exposure in early pregnancy can lead to amino acid dysmetabolism, thereby elevating GDM risk.

Utilizing the glucose challenge test during pregnancy as a predictor of future diabetes risk.

BACKGROUND: Gestational Diabetes Mellitus (GDM) presents a significant health concern during pregnancy, predisposing individuals to future diabetes. Despite established postpartum diabetes screening guidelines, adherence to follow-up remains inadequate. AIMS: This study aimed to assess the predictive value of the 50-gram glucose challenge test (GCT) for post-pregnancy diabetes development. MATERIALS AND METHODS: A population-based retrospective cohort study was conducted on pregnant women aged 18-45 who underwent GCT screening between November 2007 and July 2017 in a large Israeli community medical organization. Baseline characteristics, GCT results, and diabetes development during follow-up were analyzed using univariate and multivariate Cox regression analyses. RESULTS: Among 8,675 women included, 2.4% developed diabetes over a median follow-up of 73.23 months. Elevated GCT results correlated with a higher risk of future diabetes, with a 4% rise in risk per 1 mg/dL increase in glucose above 140 mg/dL. Multivariate analysis revealed a 60-fold rise in the risk of future diabetes in women with GCT results ≥ 200 mg/dL compared to those with GCT < 140 mg/dL, adjusting for age, body mass index, pre-pregnancy glucose, cholesterol, and triglycerides. A GCT result between 140 and 199 mg/dL was a predictor of future diabetes, even when adjusted for GDM based on a subsequent GTT if performed. CONCLUSIONS: GCT results during pregnancy strongly predict future diabetes development, with higher GCT values significantly increasing risk. Recognizing abnormal GCT results as indicative of a prediabetic state offers a practical approach for risk stratification, facilitating early diagnosis, and intervention in post-pregnancy care.

Implementing telemedicine for the care of women with gestational diabetes mellitus in a rural hospital: an observational retrospective study.

INTRODUCTION: Gestational diabetes mellitus (GDM) can adversely impact pregnancy outcomes. LGA is a common complication of GDM. Telemedicine is increasingly used for the follow-up of chronic diseases. The objective of this study was to evaluate if implementing a telemedicine solution for GDM could decrease the frequency of large for gestational age (LGA) newborns in a rural hospital. METHODS: This retrospective interrupted-time-series study was conducted in a rural French hospital. An LGA newborn was defined as a newborn with weight ≥ 90th percentile. The intervention period was defined as starting 45 days after the initial introduction of the telemedicine solution. The two timeframes were: 1 January 2015 to 28 April 2017 (baseline period) and 12 June 2017 to 31 December 2021 (intervention period). RESULTS: Between 2015 and 2021, 14,382 single births were registered in the hospital and 1,981 births from women with GDM were included. The mean age of mothers was 31.71 ± 5.54 and 32.30 ± 5.14 in women with newborns with birthweights lower and higher than the 90th percentile respectively (p=0.09). LGA births were reduced from 76/533 (14.3%) in the baseline period to 170/1,448 (11.7%) in the intervention period. This reduction became statistically significant in the multivariate analysis (protective OR: 0.541, 95%CI [0.311 to 0.930],p=0.13). Obesity was associated with LGA (OR: 1.877, 95%CI [1.394 to 2.558]). CONCLUSIONS: The implementation of a telemedicine solution for GDM care in a rural general hospital was associated with a decrease in the adjusted odds of LGA births.

Double burden of gestational diabetes and pregnancy-induced hypertension in Ethiopia: A systematic review and meta-analysis of observational studies.

BACKGROUND: The coexistence of gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) amplifies the risk of maternal and perinatal mortality and complications, leading to more severe adverse pregnancy outcomes. This systematic review and meta-analysis aimed to assess the double burden of GDM and PIH (GDM/PIH) among pregnant women in Ethiopia. METHODS: A comprehensive systematic search was conducted in the databases of PubMed, Cochrane Library, Science Direct, Embase, and Google Scholar, covering studies published up to May 14, 2023. The analysis was carried out using JBI SUMARI and STATA version 17. Subgroup analyses were computed to demonstrate heterogeneity. A sensitivity analysis was performed to examine the impact of a single study on the overall estimate. Publication bias was assessed through inspection of the funnel plot and statistically using Egger's regression test. RESULT: Of 168 retrieved studies, 15 with a total of 6391 participants were deemed eligible. The pooled prevalence of GDM/PIH co-occurrence among pregnant women in Ethiopia was 3.76% (95% CI; 3.29-4.24). No publication bias was reported, and sensitivity analysis suggested that excluded studies did not significantly alter the pooled prevalence of GDM/PIH co-occurrence. A statistically significant association between GDM and PIH was observed, with pregnant women with GDM being three times more likely to develop PIH compared to those without GDM (OR = 3.44; 95% CI; 2.15-5.53). CONCLUSION: This systematic review and meta-analysis revealed a high dual burden of GDM and PIH among pregnant women in Ethiopia, with a significant association between the two morbidities. These findings emphasize the critical need for comprehensive antenatal care programs in Ethiopia to adequately address and monitor both GDM and PIH for improved maternal and perinatal health outcomes.

Early pregnancy high normal HbA1c: a high risk group?

AIM: To determine if high normal early pregnancy HbA1c (35-40mmol/mol), in the absence of diabetes, was associated with increased risk of adverse perinatal outcomes compared to normal HbA1c (<35mmol/mol). METHOD: A retrospective chart review was carried out on all singleton births in the Wellington region from 1 July 2019 to 31 December 2019. Exclusion criteria were participants domiciled outside the Wellington region, HbA1c ≥50mmol/mol, pre-existing diabetes, gestational diabetes in current pregnancy, no HbA1c performed <20 weeks or the first HbA1c was taken at ≥20 weeks. Baseline characteristics, HbA1c and pregnancy outcomes were obtained. The primary outcome was birth weight and was analysed using multiple linear regression. RESULTS: There were 1,067 participants in the normal HbA1c (nHbA1c) group and 186 in the high normal HbA1c (hnHbA1c) group. There was no difference in birth weight between hnHbA1c and nHbA1c. hnHbA1c had significantly lower odds of post-partum haemorrhage and composite maternal adverse outcomes compared to nHbA1c (OR 0.52, 95% CI 0.35-0.76) and (OR 0.64, 95% CI 0.46-0.89). CONCLUSION: High normal HbA1c was not associated with increased risk of adverse perinatal outcomes in pregnant people who did not develop gestational diabetes.

Estradiol-to-follicle ratio on human chorionic gonadotropin day is a novel predictor of gestational diabetes mellitus in women receiving fresh embryo transfer.

Aims: To assess the predictive value of estradiol (E2) related parameters on the incidence of gestational diabetes mellitus (GDM) in women undergoing fresh embryo transfer. Materials and methods: A Post-hoc analysis of a prospective cohort study. Results: We identified an optimal E2/follicle (E2/F) ratio threshold of 246.03 pg/ml on the day of human chorionic gonadotropin (hCG) administration. Women with an E2/F ratio exceeding this threshold had significantly lower rates of GDM (12.75% vs. 20.41%, P < 0.001) and ovarian hyperstimulation syndrome (OHSS) (11.75% vs. 15.48%, P = 0.03). Additional E2 parameters were also evaluated: baseline E2, E2 on hCG day, E2 increase, and E2 fold change. Lower GDM rates were observed in women with baseline E2 above 31.50 pg/ml (13.51% vs. 19.42%, P <0.01), E2 on hCG day above 3794.50 pg/ml (12.26% vs. 19.32%, P < 0.001), and E2 increase above 3771.50 pg/ml (12.24% vs. 19.28%, P < 0.001). There were no significant differences in OHSS rates for these additional E2 parameters. After adjusting for confounders, lower E2/F ratio (OR: 1.626, 95% CI: 1.229-2.150, P <0.01), E2 on hCG day (OR: 1.511, 95% CI: 1.133-2.016, P = 0.01), and E2 increase (OR: 1.522, 95% CI: 1.141-2.031, P <0.01) were identified as risk factors for GDM. Conclusion: This study demonstrates that an E2/F ratio over 246.03 pg/ml is significantly associated with a reduced risk of both GDM and OHSS in women undergoing fresh embryo transfer, highlighting the E2/F ratio as a superior predictive biomarker compared to other E2-related parameters.

The Impact of Undetected Hyperglycaemia During Pregnancy on Maternal and Neonatal Outcomes.

BACKGROUND: Despite clear diagnostic criteria for hyperglycaemia first detected in pregnancy, many pregnant women do not have the proper diagnosis. The following paper analyses the course of the perinatal period in pregnant women with undetected hyperglycaemia and their newborns. MATERIALS AND METHODS: Medical data of patients hospitalized in the Department of Perinatology between 2020 and 2022 was verified: 1st group: 40 patients with undetected hyperglycaemia, 2nd group: 40 with the diagnosis of gestational diabetes during pregnancy and adequate therapeutic management. The course of the perinatal period, abnormalities in the oral glucose tolerance test (OGTT) and the compliance with recommended postpartum tests were analysed. RESULTS: There were significant differences in the newborn weights (p=0.039) - in the 1st group 15% large for gestational age (LGA) vs. 0% in the 2nd, and the occurrence of neonatal hyperbilirubinemia requiring phototherapy (p=0.007) - 22.5% in the 1st group vs. 2.5% in the 2nd. The most common mistake in the OGTT was evaluation of fasting plasma glucose. In the 1st group, no effect on incidence of hypertensive disorders, time or the route of delivery was observed. 75% from the 1st group and 36% from the 2nd did not perform postpartum OGTT (p=0.003). CONCLUSION: Hyperglycaemia in pregnancy is often undetected, which has a negative impact, especially on the neonates. In our study, LGA and hyperbilirubinaemia were significantly more common in neonates of mothers with undetected hyperglycaemia. These women had significantly more careless attitude to the postpartum diagnostic, which may influence future health and course of subsequent pregnancies. New and more effective methods of educating practitioners need to be implemented.

[Association of maternal pre-pregnancy BMI, gestational weight gain, and gestational diabetes mellitus with BMI trajectory in early childhood: a prospective cohort study].

Objective: To examine the associations of pre-pregnancy body mass index (BMI), gestational weight gain, and gestational diabetes mellitus (GDM) with early childhood BMI trajectories. Methods: A total of 1 227 mother-child pairs from the Peking University Birth Cohort in Tongzhou were included in this study. In the cohort, maternal pre-pregnancy weight, height, gestational weight gain, and GDM diagnosis were collected. The children were followed up at birth and at 1, 3, 6, 9, 12, 18, 24, 30, and 36 months of age to obtain height/length and weight data. The longitudinal data-based k-means clustering algorithm was used to identify early childhood BMI trajectory groups. The associations of maternal pre-pregnancy BMI, gestational weight gain, and GDM with early childhood BMI trajectories were analyzed using the logistic regression model. We further explored whether there is an interaction effect between pre-pregnancy overweight/obesity and excessive gestational weight gain on the risk of the high BMI trajectory in early childhood through multiplicative and additive interaction analyses. Results: The prevalence rates of overweight and obesity before pregnancy were 21.2% (260 cases) and 6.6% (81 cases) respectively. The prevalence of excessive gestational weight gain and GDM was 57.7% (708 cases) and 30.9% (379 cases). The early childhood BMI trajectories were named low, medium, and high trajectories, accounting for 30.5%, 45.4% and 24.1%, respectively. After controlling potential confounding factors, it was found that pre-pregnancy overweight (OR=1.54, 95%CI: 1.12-2.12), obesity (OR=2.33, 95%CI: 1.41-3.85), and excessive gestational weight gain (OR=1.47, 95%CI: 1.10-1.97) were risk factors for being in the high BMI trajectory in early childhood. GDM was not significantly associated with early childhood BMI trajectories (P>0.05). Compared with the independent effects of pre-pregnancy overweight/obesity (OR=1.90, 95%CI: 1.17-3.09) and excessive gestational weight gain (OR=1.45, 95%CI: 1.03-2.04), the risk of being in the high BMI trajectory in early childhood was greater when the two factors coexisted (OR=2.38, 95%CI: 1.60-3.54). However, both the multiplicative and additive models showed no interaction effect between pre-pregnancy overweight/obesity and excessive gestational weight gain. Conclusions: Maternal pre-pregnancy overweight/obesity and excessive gestational weight gain are independent risk factors for children being in the high BMI trajectory in early childhood, providing scientific evidence for obesity prevention.

Ethnic-specific oral glucose tolerance (OGTT) phenotypes in women with hyperglycemia in pregnancy.

INTRODUCTION: Ethnic differences associated with oral glucose tolerance test (OGTT) phenotypes is less studied in Southeast Asian ethnicities, especially in women with hyperglycemia in pregnancy (HIP). RESEARCH DESIGN AND METHODS: We retrospectively examined 3027 women at KK Women's and Children's Hospital in 2019. Of these, 508 (16.8%) women were diagnosed with HIP using the IADPSG (International Association of Diabetes and Pregnancy Study Groups) criteria at 24-28 weeks. OGTT phenotypes were classified into four mutually exclusive groups based on abnormal plasma glucose at (1) 0 hour only; (2) 1 hour only; (3) 2 hour only; (4) ≥2 timepoints (reference). Multinomial logistic regression was used to examine the association between ethnicity and OGTT phenotypes, adjusting for maternal age, parity, and first-trimester body mass index. RESULTS: Overall HIP prevalence was 16.8%, highest among Indians (20.5%), then Chinese (18.3%) and Malays (14.2%). Indians (relative risk ratio (RRR) 3.05) and Chinese (RRR 2.33) were at higher risk of displaying a fasting-only phenotype compared with Malays. Chinese were at increased risk of displaying a 2-hour postprandial phenotype with an RRR of 2.88 as compared with Malays. CONCLUSIONS: Unique OGTT phenotypes exist across ethnic groups among women who developed HIP in a multi-ethnic Asian population.