Risk Factors For Gestational Diabetes Research Articles

Genome-wide association and Mendelian randomisation analysis among 30,699 Chinese pregnant women identifies novel genetic and molecular risk factors for gestational diabetes and glycaemic traits

Aims/hypothesisGestational diabetes mellitus (GDM) is the most common disorder in pregnancy; however, its underlying causes remain obscure. This study aimed to investigate the genetic and molecular risk factors contributing to GDM and glycaemic traits.MethodsWe collected non-invasive prenatal test (NIPT) sequencing data along with four glycaemic and 55 biochemical measurements from 30,699 pregnant women during a 2 year period at Shenzhen Baoan Women’s and Children’s Hospital in China. Genome-wide association studies (GWAS) were conducted between genotypes derived from NIPTs and GDM diagnosis, baseline glycaemic levels and glycaemic levels after glucose challenges. In total, 3317 women were diagnosed with GDM, while 19,565 served as control participants. The results were replicated using two independent cohorts. Additionally, we performed one-sample Mendelian randomisation to explore potential causal associations between the 55 biochemical measurements and risk of GDM and glycaemic levels.ResultsWe identified four genetic loci significantly associated with GDM susceptibility. Among these, MTNR1B exhibited the highest significance (rs10830963-G, OR [95% CI] 1.57 [1.45, 1.70], p=4.42×10–29), although its effect on type 2 diabetes was modest. Furthermore, we found 31 genetic loci, including 14 novel loci, that were significantly associated with the four glycaemic traits. The replication rates of these associations with GDM, fasting plasma glucose levels and 0 h, 1 h and 2 h OGTT glucose levels were 4 out of 4, 6 out of 9, 10 out of 11, 5 out of 7 and 4 out of 4, respectively. Mendelian randomisation analysis suggested that a genetically regulated higher lymphocytes percentage and lower white blood cell count, neutrophil percentage and absolute neutrophil count were associated with elevated glucose levels and an increased risk of GDM.Conclusions/interpretationOur findings provide new insights into the genetic basis of GDM and glycaemic traits during pregnancy in an East Asian population and highlight the potential role of inflammatory pathways in the aetiology of GDM and variations in glycaemic levels.Data availabilitySummary statistics for GDM; fasting plasma glucose; 0 h, 1 h and 2h OGTT; and the 55 biomarkers are available in the GWAS Atlas (study accession no.: GVP000001, https://ngdc.cncb.ac.cn/gwas/browse/GVP000001).Graphical

Прогнозирование гестационного сахарного диабета на ранних сроках беременности у женщин с ожирением

Aim. Analysis of the possibilities of predicting gestational diabetes mellitus in early pregnancy in obese women. Key points. The incidence of obesity and gestational diabetes mellitus among the female population in the world is steadily increasing. Obesity is an independent risk factor for gestational diabetes. Diabetes mellitus, which occurred during pregnancy, is associated with a number of complications for both the mother and the fetus. The presented literature review summarizes modern ideas about the prognosis of gestational diabetes mellitus in early pregnancy in obese women. Data on the effectiveness of various prognostic factors of gestational diabetes are presented. Conclusion. To date, both clinical and laboratory predictors of gestational diabetes are known, but there are no regulated criteria for its diagnosis in the early stages of pregnancy. There is a need to conduct large-scale studies in order to select the most significant predictors of this disease in obese women and introduce them into the practical activities of an obstetrician-gynecologist. Keywords: prediction, gestational diabetes mellitus, obesity.

Pregnancy glucagon-like peptide 1 predicts insulin but not glucose concentrations

AimsIncretin hormones glucagon-like peptide 1 (GLP-1) and gastric inhibitory peptide (GIP) cause increased insulin secretion in non-pregnant adults, but their role in pregnancy, where there are additional metabolically-active hormones from the placenta, is less clear. The aim of the present study was to assess if fasting and post-load incretin concentrations were predictive of pregnancy insulin and glucose concentrations.MethodsPregnant women (n = 394) with one or more risk factors for gestational diabetes were recruited at 28 weeks for a 75 g oral glucose tolerance test (OGTT). Glucose, insulin, GLP-1 and GIP were measured in the fasting state and 120 min after glucose ingestion.ResultsFasting plasma GLP-1 concentrations were associated with plasma insulin (standardised β’ 0.393 (0.289–0.498), p = 1.3 × 10–12; n = 306), but not with glucose concentrations (p = 0.3). The association with insulin was still evident when adjusting for BMI (β’ 0.271 (0.180–0.362), p = 1.1 × 10–8; n = 297). Likewise, at 120 min the OGTT GLP-1 concentrations were associated with plasma insulin concentrations (β’ 0.216 (0.100–0.331), p = 2.7 × 10–4; n = 306) even after adjusting for BMI (β’ 0.178 (0.061–0.294), p = 2.9 × 10–3; n = 296), but not with glucose (p = 0.9). GIP concentrations were not associated with insulin or glucose concentrations at either time point (all p > 0.2). In pregnancy plasma GLP-1, but not GIP, concentrations appear to be predictive of circulating insulin concentrations, independently of associations with BMIs.ConclusionsThese results suggest that the relationship between insulin and incretins is preserved in pregnancy, but that other factors, such as placental hormones or counter-regulatory hormones, may be more important determinants of glycaemia and gestational diabetes aetiology.

Gestational Diabetes: A Review

Gestational diabetes (GD) is a disorder of glucose tolerance resulting in hyperglycemia first diagnosed during pregnancy. Its worldwide prevalence is estimated at 14% but varies regionally. In 2008, new diagnostic criteria were adopted, leading to an increase in diagnosed cases. Biomarkers could potentially serve as an alternative to the current diagnostic criteria in the future, enabling the realization of a universally applicable GD screening program. Risk factors associated with GD encompass a range of factors, including epigenetic factors, inadequate vitamin D levels, family history of diabetes, prediabetes, obesity, fetal death, polycystic ovary syndrome (PCOS), and advanced maternal age. GD can have consequences for maternal health, increasing the risk of hypertensive disorders, premature labor, cesarean delivery, metabolic disorders, and later type 2 diabetes. In children, it may be associated with macrosomia, shoulder dystocia, respiratory insufficiency, and hospitalization in the neonatal intensive care. Offspring born to mothers with GD face heightened susceptibility to childhood and adult obesity, alongside elevated cardiometabolic risk. The consequences and risk factors of GD are not fully understood to this day. Therefore, Additional research is warranted to gain a deeper comprehension of the pathophysiology underlying the disease and to ascertain efficacious preventive and therapeutic approaches. Nutritional therapy is often sufficient to achieve normoglycemia objectives. An individualized nutritional program is recommended, providing the necessary nutrients to promote maternal and infant health, attain optimal gestational weight gain and uphold glycemic regulation. However, in some cases, additional antidiabetic therapy is necessary. Insulin remains the most commonly used treatment, but metformin may be a safe and effective alternative. This still needs to be validated by in-depth studies leading to better evaluation of its long-term effects on offspring.

Prevalence and risk factors of gestational diabetes in the health region of Lleida: a retrospective observational cohort study

BackgroundDiabetes is a very common metabolic condition during pregnancy. The number of cases increases with age and obesity. The prevalence of pre-gestational diabetes and gestational diabetes (GD) differs between different ethnic groups.ObjectiveThe aim of the study was to analyse the prevalence of pre-gestational diabetes and GD in the health region of Lleida. We also studied the GD risk factors during pregnancy according to the country of origin of the pregnant woman.MethodsWe performed a retrospective observational cohort study among pregnant women between 2012 and 2018 in the health region of Lleida. A multivariate model was performed with the different variables analysed by calculating the regression coefficient and its 95% confidence interval (CI).ResultsIn our sample of 17,177 pregnant women, we observed a prevalence of pre-gestational diabetes and GD of 8.2% and 6.5%, respectively. We found a relationship of gestational diabetes with different factors: age, with 6.8% in 30–34 year-old women and 11.3% in women over 35 (OR 1.78 and 3.29, respectively); overweight, with 8.29% (OR 1.89); and obesity, with 12.9% (OR 3.15). Finally, women from Asia and the Middle East and the Maghreb had a higher risk of diabetes, with 12.2% (OR 2.1) and 9.91% (OR 1.3), respectively, and Sub-Saharan women had a lower risk of it 6.07% (OR 0.71).ConclusionsGD has different risk factors, such as age, overweight, and obesity. Non-related conditions include hypothyroidism, arterial hypertension, and dyslipidaemia. Finally, pregnant women from the Maghreb, and Asia and the Middle East, are at higher risk of developing diabetes during pregnancy; meanwhile, Sub-Saharan origin is protector factor.

Hemoglobin A1c as a Substitute for Oral Glucose Testing in Early Pregnancy Screening.

Current recommendations for individuals with risk factors for gestational diabetes mellitus (GDM) call for screening in early pregnancy. However, there is currently no clear consensus on a specific screening modality. This study evaluates whether a hemoglobin A1c (HbA1c) screening in individuals with risk factors for gestational diabetes (GDM) could be used instead of an early 1-hour glucose challenge test (GCT). We hypothesized that the HbA1c could replace 1-hour GCT in early pregnancy evaluation STUDY DESIGN: This is a prospective observational trial at a single tertiary referral center of women with at least one risk factor for GDM who were screened at <16 weeks of gestation with both 1-hour GCT or HbA1c. Exclusion criteria include: previous diagnosis of diabetes mellitus, multiple gestation, miscarriage, or missing delivery information. The diagnosis of GDM was made by a 3-hour 100-g glucose tolerance test, using the Carpenter-Coustan criteria (at least two results >94, 179, 154, and 139 mg/dL for fasting, 1-, 2-, and 3-hour values, respectively), 1-hour GCT > 200 mg/dL, or HbA1c > 6.5%. A total of 758 patients met inclusion criteria. A total of 566 completed a 1-hour GCT and 729 had an HbA1c collected. The median gestational age at testing was 91/7 weeks (range: 40/7-156/7 weeks]. Twenty-one participants were diagnosed with GDM at <16 weeks' GA. The receiver operating characteristic (ROC) curves identified the optimal valves for a positive screen for an HbA1c > 5.6%. The HbA1c had a sensitivity of 84.2%, a specificity of 83.3%, and a false positive rate of 16.7% (p < 0.001). The area under the ROC curve for the HbA1c was 0.898. Gestational age of delivery was slightly earlier with individuals with an elevated HbA1c but no other changes in delivery or neonatal outcomes. Contingent screening improved specificity (97.7%) and decreased false positive rate to 4.4%. HbA1c may be a good assessment in early pregnancy for gestational diabetes. · HbA1c is a rational assessment in early pregnancy.. · An HbA1c > 5.6% is associated with gestational diabetes.. · Contingent screening limits the need for additional testing..

Research Priorities to Support Women Veterans' Reproductive Health and Health Care Within a Learning Health Care System.

Research Priorities to Support Women Veterans' Reproductive Health and Health Care Within a Learning Health Care System.

Effect of pre-pregnancy body mass index on first-trimester pregnant women glucose and lipid metabolism

To examine the association of pre-pregnancy body mass index(BMI) and first-trimester glucose and lipid metabolism. A total of 298 pregnant women with high risk factors for gestational diabetes in early pregnancy, with an average age of 32.24 years, 66.11% were primiparous and the average time for blood collection was 12.5 weeks, were collected from August 2021 to April 2022 at the Department of Nutrition, Haidian District Maternal and Child Health Hospital, Beijing. Pregnant women were divided into low weight group(n=15), normal weight group(n=181), overweight/obese group(n=102) according to their pre-pregnancy BMI. Fasting glucose, fasting insulin, lipid quadruple, C-reactive protein, leptin and adiponectin levels were compared among groups. (1)Triglyceride concentrations were significantly higher in women in the overweight/obese group(1.51 mmol/L vs.1.15 mmol/L) than in women in low weight group(P&lt;0.01). HDL cholesterol(HDL-C) levels were lower than in women with low weight(1.64 mmol/L vs.1.95 mmol/L)(P&lt;0.01). (2)Pre-pregnancy low weight women had reduced pancreatic β-cell function in early pregnancy with the HOMA-β index of 60.41%, and women in the overweight/obese group had heavier fasting insulin levels(7.86 vs.3.42 μU/mL) and insulin resistance(1.75 vs 0.74) in early pregnancy than low weight women(P&lt;0.01). (3)Pre-pregnancy BMI was positively correlated with triglycerides, fasting insulin, C-reactive protein levels, and degree of insulin resistance in early pregnancy(r=0.30, 0.28, 0.45 and 0.45, P&lt;0.01)and negatively correlated with HDL-C levels in early pregnancy(r=-0.29, P&lt;0.01). Among pregnant women with risk factors for gestational diabetes, pre-pregnancy overweight and obesity are associated with glucose and lipid metabolism levels in early pregnancy.

Periconceptional diet and the risk of gestational diabetes in south Indian women: findings from the BAngalore Nutrition Gestational diabetes LiFEstyle Study (BANGLES)

BackgroundGestational diabetes can predispose two generations—a mother and her child—to a higher risk of obesity and type 2 diabetes. Culture-specific strategies to prevent gestational diabetes are required. BANGLES investigated the associations between women's periconceptional diet and gestational diabetes risk. MethodsBANGLES was a prospective observational study (n=785), in which women of various socioeconomic status were recruited at 5-16 weeks’ gestation in Bangalore, India. Periconceptional diet was recalled at recruitment, using a validated 224-item food frequency questionnaire, that was reduced to 21 food groups for the food group–gestational diabetes analysis, and 68 food groups for the principal component analysis for a diet pattern–gestational diabetes analysis. Diet–gestational diabetes associations were examined using multivariate logistic regression, adjusting for a priori confounders determined from the literature. Gestational diabetes was assessed by a 75 g oral glucose tolerance test at 24–28 weeks’ gestation, applying 2013 WHO criteria. FindingsWomen who consumed whole-grain cereals (adjusted odds ratio [OR] 0·58, 95% CI 0·34–0·97, p=0·03); had moderate egg consumption (>1–3 times per week) compared with less than once per week (adjusted OR 0·54, 95% CI 0·34–0·86, p=0·01); and a higher weekly intake of pulses and legumes (adjusted OR 0·81, 95% CI 0·66–0·98, p=0·03), nuts and seeds (adjusted OR 0·77, 95% CI 0·63–0·94, p=0·01), and fried and fast food (adjusted OR 0·72, 95% CI 0·59–0·89, p=0·002) had a lower gestational diabetes. None of these associations was significant after correction for multiple testing. A high-diversity, urban diet pattern characterised by diverse home-cooked and processed foods and associated with older, affluent, educated, urban women was associated with a lower risk (adjusted OR 0·80, 95% CI 0·64–0·99, p=0·04). BMI was the strongest risk factor for gestational diabetes and possibly mediated the diet pattern–gestational diabetes associations. InterpretationThe same food groups that were associated with a lower gestational diabetes risk were components of the high-diversity, urban diet pattern. One healthy diet pattern might not be relevant to India. Findings support global recommendations to encourage women to attain a healthy pre-pregnancy BMI, increase diet diversity to prevent gestational diabetes, and have policies to increase food affordability. FundingSchlumberger Foundation.

Free triiodothyronine (FT3)-to-free thyroxine (FT4) ratio identified as a risk factor for gestational diabetes in euthyroid pregnant women: insights from a Chinese population cohort study.

To explore the association between thyroid hormones and gestational diabetes mellitus in euthyroid pregnant women, with the aim of preventing the occurrence of gestational diabetes mellitus. In this prospective study, a total of 1222 euthyroid pregnant women in their first trimester were recruited at Peking University International Hospital between December 2017 and March 2019. These participants underwent an oral glucose tolerance test during the 24-28 weeks of gestation. During early pregnancy, the gestational diabetes mellitus group displayed lower levels of free thyroxine when compared to the non-gestational diabetes mellitus group. Additionally, the ratio of free triiodothyronine to free thyroxine in the gestational diabetes mellitus group during early pregnancy was significantly higher (p<0.05). The ratio of free triiodothyronine to free thyroxine during early pregnancy showed a positive correlation with blood glucose levels at 0, 60, and 120 min both before and after glucose loading (all p<0.05). During early pregnancy, there was a negative relationship between free thyroxine levels and fasting blood glucose. The free triiodothyronine levels were positively correlated to blood glucose levels at 120 min following glucose loading (all p<0.05). The ratio of free triiodothyronine-to-free thyroxine is an independent risk factor for gestational diabetes mellitus and has the potential to be a predictor for gestational diabetes mellitus in euthyroid pregnant women.

Pregnancy Risk Factors for Gestational Diabetes and Hyperthyroidism

The significant frequency of thyroid dysfunction in women with pre-gestational DM calls for evaluation of thyroid function in these people during pregnancy. Thyroid dysfunction was present in both pregnant women with GDM and healthy pregnant women, but in 27% of them, TPO Ab titers were positive, indicating the need for additional testing for postpartum thyroiditis and dysfunction. Therefore, it can be concluded from the findings that women with gestational diabetes mellitus were more likely than healthy pregnant women to have thyroid dysfunction, which is manifested as hypothyroidism with high anti-TPO levels.

Prevalence and risk factors of gestational diabetes in twin pregnancies: population based study

Prevalence and risk factors of gestational diabetes in twin pregnancies: population based study

The Experiences of American Indian Participants and Site Coordinators in a Gestational Diabetes Risk Reduction Trial

Gestational diabetes mellitus is the most common complication of pregnancy and contributes to increased risk for type 2 diabetes in both the mother and offspring. We developed and evaluated a gestational diabetes risk reduction and preconception counseling program, Stopping GDM (SGDM), for American Indian females. The purpose of this study is to examine the experiences of American Indian mother-daughter dyad participants and the site coordinators who facilitated the SGDM randomized controlled trial to inform program revisions. We engaged mother-daughter dyads (n = 22 dyads) and site coordinators (n = 6) in focus group interviews. Four themes emerged: (1) SGDM sparked valuable quality conversation for dyads; (2) gestational diabetes risk factors and risk reduction was new information for most dyads; (3) all trial sites experienced challenges to recruitment and engagement; and (4) study-improvement recommendations. These findings will be used to enhance SGDM to decrease adverse intergenerational health impacts of gestational diabetes in American Indian communities.

Risk factors and screening benefits in pregestational and early gestation diabetes

Gestational diabetes is one of the most widespread complications of pregnancy posing a serious clinical and public health challenge. Globally, 16.5% of pregnancies are affected by the gestational diabetes, and this percentage is expected to rise as the obesity pandemic spreads. It has severe short-term and long-term negative health effects on both the mother and the child, which emphasizes the importance of identifying the risk factors for gestational diabetes and taking steps to prevent the illness. Gestational diabetes occurs when pregnant women who have never been diagnosed with diabetes experience chronic hyperglycaemia caused by impaired glucose tolerance. Obesity, physical inactivity, multiparity, family history of diabetes mellitus, certain ethnicities, birth of a previous macrocosmic child are all risk factors for gestational diabetes. Maternal cardiovascular disease, type 2 diabetes, macrosomia, and difficulties in delivery are all some of the complications of gestational diabetes. Additionally, there is a longer-term risk for the child to develop obesity, type 2 diabetes, and cardiovascular disease. Screening and diagnostic tests for gestational diabetes are essential to identify the women who are at risk for developing gestational diabetes and thereafter reduce or eliminate the risk of unfavourable outcomes for both mother and child associated with gestational diabetes. Oral glucose tolerance test is the widely accepted screening test conducted between 24-28 weeks of pregnancy for the diagnosis of gestational diabetes. The purpose of this research is to review the available information about risk factors and screening benefits in pregestational and early gestational diabetes.

The Harm and Prevention and Control of Gestational Diabetes Mellitus

Gestational diabetes is one of the challenges that many pregnant mothers face during this particular stage. Gestational diabetes is not only harmful to pregnant women, but also has adverse effects on offspring. Overcoming this difficulty is not so easy, expectant mothers need to control many aspects, from exercise, medication, and diet. This article analyzes the etiology and risk factors of gestational diabetes and makes recommendations based on this. The diet for gestational diabetes should be small and frequent meals, and the corresponding calorie intake should be based on one's body weight. The type of food should be less fat and easy to digest and eat more foods that have a low impact on blood sugar, such as whole grains, beans, cucumbers, and tomatoes. Patients with gestational diabetes are suitable for soothing aerobic exercise. Exercises ideal for pregnant women mainly include yoga, walking, gymnastics, etc. The time for each activity is generally 20 to 30 minutes.

Iron Supplementation in Pregnancy and Risk of Gestational Diabetes: A Narrative Review.

Pregnant women frequently supplement their diets with iron to treat any cryptic anemia, on the assumption that if anemia is not present, there will be no negative consequences. However, in women who are already iron-replete, it has been suggested that this can lead to iron overload and an increased risk of certain pregnancy complications. One such complication is gestational diabetes. Fourteen clinical trials, case-control or cohort studies (found using Pubmed/Scopus/Web of Science) have investigated links between iron supplementation in pregnancy and risk of gestational diabetes, several of them finding significant associations with increased risk. Potential mechanisms include increased oxidative stress leading to insulin resistance and inadequate compensatory insulin secretion. Current evidence suggests that dietary supplementation with iron in pregnancy may increase a pregnant woman's chance of developing gestational diabetes, although available evidence is somewhat contradictory, and the magnitude of any increased risk appears relatively small. Meta-analyses have suggested the presence of significant heterogeneity in results between studies, urging a degree of caution in interpreting these results. It is currently suggested that advice to pregnant women about whether to supplement their diets with iron or not should consider both their current iron status and their other established risk factors for gestational diabetes.

Preconception exposure to malathion and glucose homeostasis in rats: Effects on dams during pregnancy and post-term periods, and on their progeny.

Understanding the individual and global impact of pesticides on human physiology and the different stages of life is still a challenge in environmental health. We analyzed here whether administration of the organophosphate insecticide malathion before pregnancy could affect glucose homeostasis during pregnancy and, in addition, generate possible later consequences in mothers and offspring. For this, adult Wistar rats were allocated into two groups and were treated daily (intragastric) with malathion (14 or 140 mg/kg, body mass (bm)) for 21–25 days. Corn oil was used as vehicle in the Control group. Subgroups were defined based on the absence (nulliparous) or presence (pregnant) of a copulatory plug. Pregnant rats were followed by an additional period of 2 months after the term (post-term), without continuing malathion treatment. Fetuses and adult offspring of males and females were also evaluated. We ran an additional experimental design with rats exposed to malathion before pregnancy at a dose of 0.1 mg/kg bm. Malathion exposure resulted in glucose intolerance in the mothers during pregnancy and post-term period, regardless of the exposure dose. This was accompanied by increased visceral adipose tissue mass, dyslipidemia, unchanged pancreatic β-cell mass, and varying insulin responses to glucose in vivo. The number of total newborns and birthweight was not affected by malathion exposure. Adult offspring from both sexes also became glucose-intolerant, regardless of the pesticide dose their dams were exposed to. This alteration could be associated with changes at the epigenomic level, as reduced hepatic mRNA content of DNA methylases and demethylases was found. We demonstrated that periconceptional exposure to malathion with doses aiming to mimic from work environment to indirect contamination predisposes progenitors and offspring rats to glucose intolerance. Thus, we conclude that subchronic exposure to malathion is a risk factor for gestational diabetes and prediabetes later in life.

The Relationship between Maternal Metabolic Variables and Gestational Diabetes in Bangladesh: A Systemic Review and Meta-Analysis

Background: Gestational diabetes mellitus (GDM) causes hyperglycemia throughout pregnancy. Overweight/obesity, westernized food, nutritional inadequacies, advanced maternal age, and family history of insulin resistance and/or diabetes are risk factors. GDM normally resolves after birth, but it may have long-term health implications, including an increased risk for T2DM and CVD in the mother and obesity, CVD, T2DM, and/or GDM in the child. This creates a vicious cycle of obesity and diabetes that harms the community's health. Pregnancy serves as a natural "stress test" for the body, hence it's frequently called a "window" into future health. In Bangladesh, GDM studies focus on awareness, risk factors, etc., but not maternal metabolic characteristics. Methods: This meta-analysis was done. Online database searches on Cumulative Index to NCBI, PubMed, Google scholar, and Bangladesh Journals Online, as well as manual searches of potentially relevant references in review articles, were utilized to locate acceptable research. 3,824 citations were found. 3,252 abstracts/titles were discarded, leaving 176 for full- text analysis. Another 127 were deleted, leaving 49 electronic studies. No unpublished conference papers met our inclusion criteria. Final Systematic review includes 12 publications. Results: Significant association was found between BMI, HbA1c, Hormone level, CRP. However, no association was found among lipid profile. But association was found betwen TG and LDL-C with GDM. Conclusion: The meta-analysis suggests that early pregnancy screening of a cluster of metabolic variables may help detect and treat individual risk factors for gestational diabetes. Given the number and quality of included studies, further, better and larger research is needed to corroborate these conclusions.

Factors Influencing Adverse Pregnancy Outcomes in Gestational Diabetes Mellitus.

Objective Analysis of gestational diabetes risk factors and their impact on pregnancy outcomes. Methods A retrospective analysis of pregnant women who delivered in the obstetrics ward of a tertiary hospital was performed, and the pregnant women were divided into a case group and a control group according to their compliance with the diagnostic criteria of GDM. The underlying pregnancy, delivery, and pregnancy outcomes of both groups were statistically analyzed. Results The detection rate and incidence rate of gestational diabetes were 13.0%, and the incidence rate was 14.5% compared to pregnancy and childbirth complications between the two groups. No statistical differences in placental weight and cord length were found compared to the sex of the newborns by comparing the basic profile of the two groups of perinatal infants. There was no statistical difference between fetal growth restriction and neonatal abnormalities, while there was a statistical difference in neonatal outcomes between the two groups. Conclusion Age, family history, and weight are the risk factors for GDM.

Analysis and Prediction of Gestational Diabetes Mellitus by the Ensemble Learning Method

Gestational diabetes mellitus (GDM) is the most common disease in pregnancy and can cause a series of maternal and infant complications. A new study shows that GDM affects one in six deliveries. Identifying and screening for risk factors for GDM can effectively help intervene and improve the condition of women and their children. Therefore, the aim of this paper is to determine the risk factors for GDM and to use the ensemble learning method to judge whether pregnant women suffer from GDM more accurately. First, this study involves six commonly used machine learning algorithms to analyze the GDM data from the Tianchi competition, selects the risk factors according to the ranking of each model, and uses the Shapley additive interpreter method to determine the importance of the selected risk factors. Second, the combined weighting method was used to analyze and evaluate the risk factors for gestational diabetes and to determine a group of important factors. Lastly, a new integrated light gradient-boosting machine-extreme gradient boosting-gradient boosting tree (LightGBM-Xgboost-GB) learning method is proposed to determine whether pregnant women have gestational diabetes mellitus. We used the gray correlation degree to calculate the weight and used a genetic algorithm for optimization. In terms of prediction accuracy and comprehensive effects, the final model is better than the commonly used machine learning model. The ensemble learning model is comprehensive and flexible and can be used to determine whether pregnant women suffer from GDM. In addition to disease prediction, the model can also be extended for use to many other areas of research.