Gestational Diabetes Mellitus Pregnant Women Research Articles

Nutrition Intervention in reducing gestational Diabetes Mellitus

To review literature about Nutrition Intervention in reducing Gestational Diabetes Mellitus (GDM). We conducted a literature search for published articles on “Nutrition Therapy in reducing Gestational Diabetes” “Nutrition therapy” Gestational diabetes” “diabetes” and “Gestation” as keywords search in the Sothern Medical University Library Electronic resources (E-resources), PubMed, ScienceDirect, Web of Science and other databases including Google Scholar. A search strategy was developed for each database with no restriction on language and publication status, 75% of the papers used in this study were published in the last 5 years. Several studies have established that gestational diabetes mellitus (GDM) is an alarming health problem worldwide and is one of the most common complications of nutrition intervention in addressing GDM in pregnant women and one of the causes of the T2DM in the world. During pregnancy, it is most likely to be a critical moment for appropriate therapy and activities aimed at reducing the incidence of T2DM.

HbA1c as an early diagnostic marker in gestational diabetes mellitus.

Objective: To assess the effectiveness of HbA1c as an indicator of Gestational Diabetes mellitus(GDM). Study Design: Prospective Cases Control study. Setting: Fauji Foundation Hospital Rawalpindi. Period: March 2022 to Oct 2022. Methods: All pregnant females older than 18 years of age having pregnancy confirmed by gynecologist in 1st trimester were included. A 5ml blood sample was obtained from each case to evelaute the HbA1c level. Oral glucose tolerance test (OGTT) was performed on both groups at conception to 12 weeks (1st trimester) as well as at 12 to 24 weeks of gestation (2nd trimester) to evaluate correlation between OGTT and HbA1c test. All the females suffering from GDM were taken in cases group and comparatively in equal number non GDM pregnant women were taken in control group. All the relevant information was collected via study proforma and SPSS version 26 was used for analysis. Results: The number of females suffering from GDM was 45 in number and we took 45 pregnant females as control group. Average level of HbA1c in women with GDM (test group) was higher than in women with Non-GDM (control group). Patients having age groups 35-39 showing greater prevalence of gestational diabetes with 73.2% sensitivity and 66.7% specificity at a cut-off value of 5.6% (31 mmol/mol) for GDM diagnosis. Conclusion: The findings reveal significantly elevated HbA1c levels during both the first and second trimesters in individuals diagnosed with GDM, with a test specificity of 95%. This underscores its ability to accurately pinpoint individuals who truly have GDM. However, HbA1c is observed as a valuable diagnostic tool for the early detection of GDM.

Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.

Gestational diabetes mellitus (GDM) is a serious health concern that affects pregnant women worldwide and can lead to adverse pregnancy outcomes. Early detection of high-risk individuals and the implementation of appropriate treatment can enhance these outcomes. We conducted a study on a cohort of 3467 pregnant women during their pregnancy, with a total of 5649 clinical and biochemical records collected. We utilized this dataset as our training dataset to develop a web server called GDMPredictor. The GDMPredictor utilizes advanced machine learning techniques to predict the risk of GDM in pregnant women. We also personalize treatment recommendations based on essential biochemical indicators, such as A1MG, BMG, CysC, CO2, TBA, FPG, and CREA. Our assessment of GDMPredictor's effectiveness involved training it on the dataset of 3467 pregnant women and measuring its ability to predict GDM risk using an AUC and auPRC. GDMPredictor demonstrated an impressive level of precision by achieving an AUC score of 0.967. To tailor our treatment recommendations, we use the GDM risk level to identify higher risk candidates who require more intensive care. The GDMPredictor can accept biochemical indicators for predicting the risk of GDM at any period from 1 to 24weeks, providing healthcare professionals with an intuitive interface to identify high-risk patients and give optimal treatment recommendations. The GDMPredictor presents a valuable asset for clinical practice, with the potential to change the management of GDM in pregnant women. Its high accuracy and efficiency make it a reliable tool for doctors to improve patient outcomes. Early identification of high-risk individuals and tailored treatment can improve maternal and fetal health outcomes http://www.bioinfogenetics.info/GDM/ .

A cost-effectiveness evaluation of a dietitian-delivered telephone coaching program during pregnancy for preventing gestational diabetes mellitus

BackgroundThis study aimed to evaluate the cost-effectiveness of a telehealth coaching intervention to prevent gestational diabetes mellitus (GDM) and to calculate the breakeven point of preventing GDM.MethodsData to inform the economic evaluation model was sourced directly from the large quaternary hospital in Brisbane, where the Living Well during Pregnancy (LWdP) program was implemented, and further supplemented with literature-based estimates where data had not been directly collected in the trial. A cost-effectiveness model was developed using a decision tree framework to estimate the potential for cost savings and quality of life improvement. A total of 1,315 pregnant women (49% with a BMI 25-29.9, and 51% with a BMI ≥ 30) were included in the analyses.ResultsThe costs of providing routine care and routine care plus LWdP coaching intervention to pregnant women were calculated to be AUD 20,933 and AUD 20,828, respectively. The effectiveness of the LWdP coaching program (0.894 utility) was slightly higher compared to routine care (0.893). Therefore, the value of the incremental cost-effectiveness ratio (ICER) was negative, and it indicates that the LWdP coaching program is a dominant strategy to prevent GDM in pregnant women. We also performed a probabilistic sensitivity analysis using Monte Carlo simulation through 1,000 simulations. The ICE scatter plot showed that the LWdP coaching intervention was dominant over routine care in 93.60% of the trials using a willingness to pay threshold of AUD 50,000.ConclusionFindings support consideration by healthcare policy and decision makers of telehealth and broad-reach delivery of structured lifestyle interventions during pregnancy to lower short-term costs associated with GDM to the health system.

Phenotypic characterisation of regulatory T cells in patients with gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a common complication that occurs during pregnancy. Emerging evidence suggests that immune abnormalities play a pivotal role in the development of GDM. Specifically, regulatory T cells (Tregs) are considered a critical factor in controlling maternal–fetal immune tolerance. However, the specific characteristics and alterations of Tregs during the pathogenesis of GDM remain poorly elucidated. Therefore, this study aimed to investigate the changes in Tregs among pregnant women diagnosed with GDM compared to healthy pregnant women. A prospective study was conducted, enrolling 23 healthy pregnant women in the third trimester and 21 third-trimester women diagnosed with GDM. Participants were followed up until the postpartum period. The proportions of various Treg, including Tregs, mTregs, and nTregs, were detected in the peripheral blood of pregnant women from both groups. Additionally, the expression levels of PD-1, HLA-G, and HLA-DR on these Tregs were examined. The results revealed no significant differences in the proportions of Tregs, mTregs, and nTregs between the two groups during the third trimester and postpartum period. However, GDM patients exhibited significantly reduced levels of PD-1+ Tregs (P < 0.01) and HLA-G+ Tregs (P < 0.05) in the third trimester compared to healthy pregnant women in the third trimester. Furthermore, GDM patients demonstrated significantly lower levels of PD-1+ mTregs (P < 0.01) and HLA-G+ (P < 0.05) mTregs compared to healthy pregnant women in the third trimester. Overall, the proportion of Tregs did not exhibit significant changes during the third trimester in GDM patients compared to healthy pregnant women. Nevertheless, the observed dysregulation of immune regulation function in Tregs and mTregs may be associated with the development of GDM in pregnant women.

Sh- Ambra1 inhibits IRS-1/PI3K/Akt signalling pathway to reduce autophagy in gestational diabetes.

Gestational diabetes mellitus (GDM) is the most common metabolic disease in pregnancy. However, studies of activating molecule of Beclin1-regulated autophagy (Ambra1) affecting the insulin substrate receptor 1/phosphatidylinositol 3 kinase/protein kinase B (IRS-1/PI3K/Akt) signalling pathway in GDM have not been reported. The aim of the study was to detect the difference of Ambra1 expression in the placenta of normal pregnant women and GDM patients. An in vitro model of gestational diabetes mellitus was established by inducing HTR8/Svneo cells from human chorionic trophoblast layer with high glucose. The changes of cell morphology were observed by inverted microscope, and the expression levels of Ambra1 gene and protein in model cells were detected. After this, Ambra1 gene was silenced by shRNA transfection, and PI3K inhibitor was added to detect changes in Ambra1, autophagy, and insulin (INS) signalling pathways. The protein expression levels of Ambra1, Bcl-2 interacting protein (Beclin-1), and microtubule-associated proteins 1A/1B light chain 3B (LC3-II) in the placentas of GDM pregnant women were higher than those of normal pregnant women. High glucose induces morphological changes in HTR8/Svneo cells and increases Ambra1 transcription and translation levels. sh-Ambra1 increased survival of HTR8/SvNEO-HG cells and inhibited Ambra1, Beclin1, and LC3-II transcription and translation levels. Also, sh-Ambra1 increased IRS-1/PI3K/Akt protein phosphorylation levels and inhibited the IRS-1/PI3K/Akt signalling pathway and its resulting autophagy. sh-Ambra1 increased IRS-1/PI3K/Akt protein phosphorylation levels to reduce autophagy in gestational diabetes.

National and regional prevalence of gestational diabetes mellitus in India: a systematic review and Meta-analysis

BackgroundGestational diabetes mellitus (GDM) is frequently misdiagnosed during pregnancy. There is an abundance of evidence, but little is known regarding the regional prevalence estimates of GDM in India. This systematic review and meta-analysis aims to provide valuable insights into the national and regional prevalence of GDM among pregnant women in India.MethodsWe conducted an initial article search on PubMed, Scopus, Google Scholar, and ShodhGanga searches to identify quantitative research papers (database inception till 15th June,2022). This review included prevalence studies that estimated the occurrence of GDM across different states in India.ResultsTwo independent reviewers completed the screening of 2393 articles, resulting in the identification of 110 articles that met the inclusion criteria, which collectively provided 117 prevalence estimates. Using a pooled estimate calculation (with an Inverse square heterogeneity model), the pooled prevalence of GDM in pregnant women was estimated to be 13%, with a 95% confidence interval (CI) ranging from 9 to 16%.. In India, Diabetes in Pregnancy Study of India (DIPSI) was the most common diagnostic criteria used, followed by International Association of Diabetes and Pregnancy Study Groups (IADPSG) and World Health Organization (WHO) 1999. It was observed that the rural population has slightly less prevalence of GDM at 10.0% [6.0–13.0%, I2=96%] when compared to the urban population where the prevalence of GDM was 12.0% [9.0–16.0%, I2 = 99%].ConclusionsThis review emphasizes the lack of consensus in screening and diagnosing gestational diabetes mellitus (GDM), leading to varied prevalence rates across Indian states. It thoroughly examines the controversies regarding GDM screening by analyzing population characteristics, geographic variations, diagnostic criteria agreement, screening timing, fasting vs. non-fasting approaches, cost-effectiveness, and feasibility, offering valuable recommendations for policy makers. By fostering the implementation of state-wise screening programs, it can contribute to improving maternal and neonatal outcomes and promoting healthier pregnancies across the country.

The Relationship between Iron Markers, Cortisol and Insulin Resistance in Gestational Diabetes Mellitus

Background: Gestational diabetes mellitus (GDM) is a significant metabolic disorder occurring during pregnancy, associated with serious maternal and fetal complications if left untreated. The global prevalence of GDM emphasizes the urgent need for research into its pathogenesis and contributing factors, including hormonal changes, insulin resistance, and the role of iron metabolism. Objective: The aim of this study was to investigate the relationship between iron markers (hemoglobin, serum iron, and serum ferritin), cortisol, insulin resistance (measured by HOMA-IR), and the development of GDM in pregnant women between 24 and 28 weeks of gestation. Methods: This analytical cross-sectional study included 150 pregnant women, divided into GDM and non-GDM groups based on oral glucose tolerance test results. Iron markers, cortisol, fasting plasma glucose, insulin, and HOMA-IR levels were measured. Data analysis was performed using SPSS version 25, employing descriptive and inferential statistics, including the Mann-Whitney U test for non-normally distributed variables. Results: Women with GDM exhibited significantly higher mean levels of hemoglobin (12.41±0.68 g/dl), serum iron (19.57±1.14 μmol/L), serum ferritin (25.92±2.58 ng/ml), cortisol (451.32±25.20 nmol/L), fasting plasma glucose (6.83±0.46 mmol/L), insulin (12.50±1.72 μU/mL), and HOMA-IR (3.83±0.78) compared to non-GDM participants (p&lt;0.001 for all comparisons). These findings underscore the pronounced biochemical and hormonal alterations associated with GDM. Conclusion: The study identified a significant association between elevated levels of iron markers, cortisol, and insulin resistance with the development of GDM. These findings suggest that monitoring these parameters during pregnancy could be crucial for the early detection and management of GDM. Individualized iron supplementation strategies may be necessary to prevent iron overload and minimize GDM risk.

Association of exposure to multiple heavy metals during pregnancy with the risk of gestational diabetes mellitus and insulin secretion phase after glucose stimulation

Association of exposure to multiple heavy metals during pregnancy with the risk of gestational diabetes mellitus and insulin secretion phase after glucose stimulation

Effects of mHealth-Based Lifestyle Interventions on Gestational Diabetes Mellitus in Pregnant Women With Overweight and Obesity: Systematic Review and Meta-Analysis.

The increasing incidence of gestational diabetes mellitus (GDM) is a global health problem that is more likely to occur in pregnant women with overweight or obesity. Adhering to a healthy lifestyle is associated with a reduced risk of GDM. With the development of IT, mobile health (mHealth) interventions have become widely available in health care. However, there are no definitive conclusions on the effectiveness of mHealth-based lifestyle interventions in preventing GDM. This study aims to evaluate the impact of mHealth-based lifestyle interventions on GDM and other pregnancy outcomes in pregnant women with overweight or obesity. A systematic literature search was conducted in 5 English databases (MEDLINE, Embase, Web of Science, CENTRAL, and CINAHL) and 4 Chinese databases (CBM, CNKI, Vip, and Wanfang) to identify randomized controlled trials (RCTs) on the effectiveness of mHealth-based interventions for GDM from inception to January 10, 2023. In total, 2 authors independently screened the studies and extracted the data. The quality of the included studies was examined using the Cochrane risk-of-bias tool. Data synthesis was conducted using Review Manager (version 5.4; The Cochrane Collaboration). A total of 16 RCTs with 7351 participants were included in this study. The included studies were published between 2014 and 2021 and were conducted in China, the United States, Australia, New Zealand, the United Kingdom, Ireland, and Norway. The sample sizes of the studies ranged from 75 to 2202, and the duration of the mHealth-based lifestyle interventions ranged from 4 to 28 weeks. Compared with usual care, mHealth-based lifestyle interventions significantly reduced the incidence of GDM (odds ratio [OR] 0.74, 95% CI 0.56-0.96; P=.03; I2=65%), preterm birth (OR 0.65, 95% CI 0.48-0.87; P=.004; I2=25%), macrosomia (OR 0.59, 95% CI 0.40-0.87; P=.008; I2=59%), and gestational weight gain (mean difference=-1.12 kg, 95% CI -1.44 to -0.80; P<.001; I2=43%). The subgroup analysis showed that interventions delivered via apps (OR 0.55, 95% CI 0.37-0.83; P=.004; I2=44%), provided by obstetricians (OR 0.69, 95% CI 0.51-0.93; P=.02; I2=60%), and targeted at Asian populations (OR 0.44, 95% CI 0.34-0.58; P<.001; I2=0%) and that used the International Association of Diabetes and Pregnancy Study Groups diagnostic criteria (OR 0.58, 95% CI 0.39-0.86; P=.007; I2=69%) showed a statistically significant reduction in the risk of GDM. mHealth-based lifestyle interventions had a favorable impact on the prevention of GDM in pregnant women with overweight and obesity. Future studies need to further explore the potential of mHealth-based interventions for GDM through better design and more rigorous large-scale RCTs. PROSPERO International Prospective Register of Systematic Reviews CRD42021286995; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=286995.

Risk factors and glycaemic control in small-for-gestational-age infants born to mothers with gestational diabetes mellitus: a case–control study using propensity score matching based on a large population

BackgroundSmall for gestational age (SGA) poses a significant concern for newborns, being linked to neonatal complications and potential metabolic disorders in adulthood, especially when born to mothers with gestational diabetes...

Production of Breast Milk in Pregnant Women with and without Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a health disorder associated with an increased risk of type 2 diabetes mellitus (T2DM) in both mother and baby. Breastfeeding is one way that mothers do to reduce this risk. However, research results showed that the duration of breastfeeding in mothers with GDM was shorter compared to non-GDM mothers. Related to that, this study aims to determine breast milk production in GDM and non-GDM pregnant women. This is important so that further intervention can be carried out to prepare for breastfeeding after childbirth. The study design used a prospective cohort and involved respondents:12 pregnant women with GDM and 12 non-GDM. The inclusion criteria are GDM and non-GDM pregnant women with a gestational age of 28-31 weeks and willing to be respondents. The study was conducted at Jakarta Hospital. The instruments used are questionnaires and observation sheets for breast milk production. As for the analysis, the research used a chi-square statistical test. The results of the study showed a significant relationship between the status of GDM and non-GDM pregnant women with breast milk production ( P value 0.05). Maximum milk production in pregnant women with GDM is less than non-GDM, with a maximum amount of milk production of 0.3cc and 0.5cc, respectively. Pregnant women with GDM milk expenditure is lower than non-GDM pregnant women. Breast milk expenditure of pregnant women with GDM is slower than non-GDM pregnant women. This is evident from the research results showing that 58,3% of non-GDM pregnant women have expressed breast milk (on average starting at 17 weeks gestation). While pregnant women with GDM only as much as 8,3% have released breast milk (starting at 31 weeks of age). Breastfeeding education and breast care during pregnancy, as well as nutrition, are needed to increase maternal self-efficacy later in breastfeeding. Researchers are then expected to observe long-term breastfeeding expenditure ranging from pregnancy to six months and even up to two years of breastfeeding with many samples.

Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis.

Obesity has been linked to the risk of gestational diabetes mellitus (GDM). The meta-analysis aimed to assess the predictive role of ultrasonographic measurements of the abdominal adipose tissue thickness for GDM in pregnant women. Cohort studies evaluating the association between abdominal subcutaneous and/or visceral adipose thickness (SAT and/or VAT) and subsequent risk of GDM were retrieved from PubMed, Embase, and Web of Science databases. Only studies with SAT/VAT measured before the diagnosis of GDM were included. Random-effects models incorporating the influence of potential heterogeneity were used to pool the results. A total of 13 studies involving 5616 pregnant women were included. Pooled results showed that both a high abdominal SAT (odds ratio [OR] for per 1-cm increment: 1.23, 95% confidence interval [CI]: 1.07 to 1.41, P = 0.003, I2 = 13%; OR for high versus low category: 3.42, 95% CI: 2.31 to 5.07, P < 0.001, I2 = 0%) and VAT (OR for per 1-cm increment: 1.54, 95% CI: 1.16 to 2.06, P = 0.003, I2 = 63%; OR for high versus low category: 5.73, 95% CI: 3.39 to 9.77, P < 0.001, I2 = 31%) at early stages of pregnancy were associated with a higher subsequent risk of GDM. Subgroup analysis based on study design, timing of ultrasound examination, GDM diagnostic criteria, and study quality score showed consistent results. In conclusion, ultrasound-measured abdominal adipose tissue thickness may be useful for predicting the subsequent risk of GDM in pregnant women.

Platelet-to-lymphocyte ratio and serum hsCRP levels in third trimester and adverse pregnancy outcomes in women with gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a major complication of pregnancy. GDM is associated with a higher risk of adverse pregnancy outcomes (APO). The purpose of this study was to assess the association between third-trimester platelet to lymphocyte ratio (PLR) and high-sensitivity C-reactive protein (hsCRP) concentration and the risk of APO in GDM pregnant women. This study selected 406 non-elderly gestational diabetes patients diagnosed in the Renmin Hospital of Wuhan University from May 2021 to February 2023 as the research objects. According to the presence or absence of APO, they were divided into an APO group (n = 171) and a non-APO group (n = 235). Logistic regression model to evaluate the correlation between PLR and hsCRP and APO in women with GDM; Restricted cubic spline analyses was used to explore nonlinear correlations between PLR or hsCRP and the risk of APO; ROC curve analysis of the diagnostic performance of PLR and hsCRP for APO in women with GDM. APO occurred in 171 of the 406 included participants. Compared with the non-APO group, patients in the APO group had higher PLR and hsCRP levels. The incidence of APO was positively associated with PLR and the hsCRP level in each logistic regression model (P < 0.05). After adjusting for all the risk factors included in this study, restricted cubic spline analyses found that the PLR and the hsCRP level were positively associated with the risk of APO. The levels of PLR and hsCRP in the third trimester are related to the occurrence of APO in women with GDM, and high levels of PLR and hsCRP may indicate the occurrence of APO.

Preventing Gestational Diabetes with a Healthy Gut Diet: Protocol for a Pilot, Feasibility Randomized Controlled Trial

Around 14% of pregnancies globally are affected by gestational diabetes mellitus (GDM), making it one of the most common disorders experienced by women in pregnancy. While dietary, physical activity and supplement interventions have been implemented to prevent GDM, with varying levels of success, altering the gut microbiota through diet is a promising strategy for prevention. Several studies have demonstrated that women with GDM likely have a different gut microbiota to pregnant women without GDM, demonstrating that the gut microbiota may play a part in glycemic control and the development of GDM. To date, there have been no randomized controlled trials using diet to alter the gut microbiota in pregnancy with the aim of preventing GDM. Here, we present the study protocol for a single-blind randomized controlled trial which aims to determine the effectiveness of the Healthy Gut Diet on reducing the diagnosis of GDM in pregnant women with one or more risk factors. Consenting women will be randomized into either the Healthy Gut Diet intervention group or the usual care (control) group after 11 weeks gestation. The women in the intervention group will receive three telehealth counseling appointments with an Accredited Practicing Dietitian with the aim of educating and empowering these women to build a healthy gut microbiota through their diet. The intervention was co-designed with women who have lived experience of GDM and incorporates published behavior change techniques. The control group will receive the usual care and will also be shown a brief (3 min) video on general healthy eating in pregnancy. The primary outcome is the diagnosis of GDM at any stage of the pregnancy. Secondary outcomes include changes to gut microbiota composition and diversity; gestational weight gain; maternal and infant outcomes; management of GDM (where relevant); dietary quality and intake; physical activity; and depression scoring. We aim to recruit 120 women over 16 months. Recruitment commenced in January 2023. The trial has been registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622001285741).

Investigation of the association between the TCF7L2 rs12255372 (G/T) gene polymorphism and Gestational Diabetes Mellitus (GDM) in the population of Chattogram, Bangladesh

ObjectiveGestational Diabetes Mellitus (GDM) is one of the most common complications of pregnancy and becoming an increasing health problem worldwide. The rate of GDM is increasing in Asian countries including Bangladesh. This study is aimed at investigating the association between the rs12255372 (G/T) polymorphism of the TCF7L2 gene with GDM. MethodTo carry out the present research, 63 GDM pregnant women and 60 control pregnant women were randomly selected from the city Chattogram, Bangladesh. During the study data was collected between gestational weeks of 24–28. PCR-RFLP was used for genotyping the rs12253372 (G/T) and for genotype analysis Hardy-Weinberg equation (Hardy, 1908) was applied. ResultsThe fasting and 2-hour plasma glucose level was significantly higher in GDM than the control. Moreover, in the case of family history women with GDM showed higher percentage in first degree relatives (60.31 %) compared to that of control (38.33 %). The frequency of mutant allele T in GDM is 26.2 % which was however not significant. TT genotype was found only in one subject with GDM. However, the percentage of risk allele GT is higher in GDM (49.2 %) compared to that of NGT (35 %). ConclusionsIn our pilot study, we did not find an association between rs12255372 (G/T) polymorphism of TCF7L2 gene and GDM. Studying in a broader group may help to find a conclusive result.

THU317 Study Of Risk Factors For The Development Of Various Subtypes Of Gestational Diabetes Mellitus

Abstract Disclosure: N.I. Volkova: None. I. Davidenko: None. J. Sorokina: None. J. Degtyareva: None. V. Kovalenko: None. Abstract: Gestational diabetes mellitus (GDM) poses a threat to the health of the mother and a high risk of perinatal complications, however, achieving normoglycemia will significantly improve the prognosis in such pregnant women. One of the factors determining the most optimal management tactics is based on the pathophysiological mechanism of GDM formation. According to modern concepts, the processes associated with pancreatic β-cell dysfunction, insulin resistance (IR) or a combination of these factors may prevail in the basis of the formation of GDM, forming various subtypes of GDM. Identification of risk factors for the development of various subtypes of GDM in pregnant women may be important for timely verification and selection of therapy. In order to study risk factors for the development of various subtypes of GDM 130 pregnant women were examined without a history of carbohydrate metabolism disorders. The subjects were divided into: group I - 45 pregnant women with GDM and β-cell dysfunction, group II - 43 pregnant women with GDM and IR, group III - 42 pregnant women without GDM (control). The risk factors, whose contribution to the development of GDM is already well known, and the factors that, in our opinion, can influence the development of GDM, were studied. We conducted a full clinical examination. Carbohydrate metabolism was assessed according to fasting venous plasma glucose, oral glucose tolerance test with 75 g of glucose. The function of β-cells was evaluated and IR was detected. According to the Matsuda index, subtypes of GDM were identified. Statistical processing was carried out using comparative analysis. The data are presented in the form of medians and interquartile intervals of quantitative indicators in the groups, the data were considered reliable at p&amp;lt;0.05. Pregnant women with GDM and IR are characterized by an older age at the onset of pregnancy [32 (29; 35) y.o, p = 0.009], a large body weight [84 (76; 91) kg, p &amp;lt;0.001], signs of acanthosis nigricans (14%, p=0.03), weight of 1 child at birth (p= 0.047), rarer intake of folic acid (p&amp;lt; 0.001), low physical activity before pregnancy (p&amp;lt;0.001). Patients with GDM and β-cell dysfunction are characterized by a younger age [29 (27; 31) y.o.; p= 0.02], lower body weight [59.8 (55.9; 76.4) kg, p &amp;lt;0.001] and BMI [21.9 (20.7; 26.6) kg/m2, p &amp;lt;0.001], absence of regular MC before pregnancy (93%, p=0.02) and more frequent use of folic acid (p=0.048). Both groups of patients were characterized by the absence of pre-gravidar preparation (p=0.03).Thus, we have studied known risk factors for GDM, as well as factors that could potentially cause the development of hyperglycemia during pregnancy. And it turned out that in addition to the influence of the patient's age and body weight before pregnancy, an important contribution to the development of various subtypes of GDM is provided by low physical activity and lack of pregravidar preparation. Presentation: Thursday, June 15, 2023

Maternal gestational weight gain and adverse pregnancy outcomes in non-diabetic women

Objective This study investigated the relationship between maternal gestational weight gain (GWG) and the risk of adverse pregnancy outcomes in gestational diabetes mellitus (GDM)-negative pregnant women. Methods We did a retrospective cohort study between 1 July 2017, and 1 January 2020, at Women’s Hospital, Zhejiang University School of Medicine. Firstly, pregnant women were divided into subgroups according to the entire GWG (inadequate GWG, adequate GWG, and excessive GWG) and GDM status (positive and negative) during pregnancy. Secondly, the whole population of pregnant women with GDM was used as a reference to evaluate the relationship between GWG and adverse pregnancy outcomes in GDM-negative pregnant women. Lastly, subgroup analysis was conducted based on pre-pregnancy body mass index (pp-BMI). Results A total of 30,910 pregnant women were analysed. Included pregnancy women were divided into three groups based on GWG: 7569 (24.49%) pregnancy women had inadequate GWG, 13088 (42.34%) had adequate GWG, and 10,253 (33.17%) had excessive GWG. In addition to preterm birth and small for gestational age (SGA), the incidence of macrosomia and large for gestational age (LGA) continues to increase from inadequate GWG to excessive GWG groups. Pregnant women without GDM who have excessive GWG are at higher risk of macrosomia and LGA than pregnant women with GDM. Moreover, this risk increased with increasing pp-BMI. Pregnant women without GDM with inadequate GWG were at risk of preterm birth regardless of pp-BMI. Only those with inadequate GWG and pp-BMI < 18.5 kg/m2 had an increased risk of SGA. Conclusions In conclusion, inappropriate GWG is strongly associated with adverse pregnancy outcomes, even if they do not have GDM. Therefore, this population should receive attention and management before and during pregnancy. Impact Statement What is already known on this subject? Several studies have focused on the GDM population and the risk of adverse pregnancy outcomes, but few have focused on GDM-negative populations. This is because GDM-negative women are perceived to be "safe," leading to less focus on themselves, which can lead to subsequent excessive weight gain during pregnancy. Whether this factor increases the risk of adverse pregnancy outcomes in this population remains unknown. What do the results of this study add? Our study found an inverse relationship between GWG and GDM. Therefore, our study focuses on this group of GDM-negative pregnant women. Their excessive weight gain increases the risk of adverse pregnancy outcomes, even higher than GDM pregnant women. What are the implications of these findings for clinical practice and/or further research? GWG is associated with adverse pregnancy outcomes. Therefore, pregnant women without GDM also need increased attention and management of their weight before and during pregnancy. Prenatal care providers can utilise tools such as diet, exercise counselling, weight tracking, and setting weight gain goals to reduce inappropriate weight gain and mitigate its adverse effects on pregnancy outcomes.

A Survey on the Relationship Between Fetal Heart Rate in the First Trimester and Gestational Diabetes

Background: Gestational diabetes mellitus (GDM) can complicate pregnancy. Ultrasound examination of the fetal heart rate (FHR) is essential to routine pregnancy care. Several studies have reported the effect of GDM on FHR. Objectives: This study aimed to evaluate the relationship between FHR in the first trimester and GDM. Methods: This cohort study was conducted on 214 pregnant women. The FHR of all fetuses was measured once in the first and second trimesters after a glucose challenge test (GCT). Based on the GCT, all pregnant women were divided into two groups (GDM and healthy). The data were analyzed by SPSS software version 16 to investigate the relationship between GDM and the first-trimester FHR. Results: The mean FHR of the first trimester in GDM and healthy pregnant women was 164.38 ± 7.20 and 164.25 ± 7.43, respectively (P = 0.930). After GCT, the mean FHR in GDM and healthy pregnant women was 144.97 ± 7.60 and 146.65 ± 8.71, respectively (P = 0.326). The FHR in the first trimester and after GCT in GDM and healthy pregnant women were not significantly different. The logistic regression results showed that FHR cannot predict GDM. Conclusions: Based on the results, the fetus’s heart rate cannot be used to predict gestational diabetes.

Analysis of risk factors of neonatal hypoglycemia and its correlation with blood glucose control of gestational diabetes mellitus: A retrospective study.

This study aimed to investigate the risk factors associated with neonatal hypoglycemia and its correlation with blood glucose control in patients with gestational diabetes mellitus (GDM). This study was a retrospective study. 880 pregnant women with GDM and their newborns were hospitalized from January 2018 to December 2022 in our hospital. The clinical information of GDM pregnant women and their newborns were reviewed and the hemoglobin A1c (HbA1c) values measured within 1 week before delivery were collected. According to the occurrence of neonatal hypoglycemia, which was divided into the control and observation groups. Logistic regression model was used to estimate the potential factors associated with neonatal hypoglycemia. The association between HbA1c of pregnant women before delivery and abnormal glucose metabolism in newborns was examined using spearman correlation analysis. A total of 104 cases of hypoglycemia occurred in neonates delivered by 880 GDM women and the incidence of neonatal hypoglycemia was 11.82%. There were significant differences in pre-pregnancy overweight or obesity, delivery mode, maternal blood sugar control effect and neonatal feeding standard between the 2 groups of GDM women (P < .05). Pre-pregnancy overweight or obesity, poor blood sugar control in GDM women, and improper neonatal feeding were risk factors for neonatal hypoglycemia. The results of logistic regression analysis showed that abnormal glucose metabolism in newborn (odds ratio [OR]: 2.43, 95% confidence interval [CI]: 1.12-4.73) and neonatal hypoglycemia (OR: 3.04, 95% CI: 1.33-5.79) were a risk factor. We also conducted the logistic analysis to evaluate the correlation between HbA1c before delivery and abnormal glucose metabolism in newborns of pregnant women with GDM through adjusting some potential factors. The results were still significant in the abnormal glucose metabolism in newborn (OR: 2.84, 95% CI: 1.23-6.63) and neonatal hypoglycemia (OR: 3.64, 95% CI: 1.46-8.18). Overweight or obesity of GDM parturient before pregnancy, poor blood glucose control of GDM parturient and improper feeding of newborns are all risk factors for neonatal hypoglycemia. HbA1c before delivery has a certain predictive value for abnormal glucose metabolism in newborns.