Application of machine learning algorithm for predicting gestational diabetes mellitus in early pregnancy

Objective:To study the application of a machine learning algorithm for predicting gestational diabetes mellitus(GDM)in early pregnancy.Methods:This study identified indicators related to GDM through a literature review and expert discussion.Pregnant women who had attended medical institutions for an antenatal examination from November 2017 to August 2018 were selected for analysis,and the collected indicators were retrospectively analyzed.Based on Python,the indicators were classified and modeled using a random forest regression algorithm,and the performance of the prediction model was analyzed.Results:We obtained 4806 analyzable data from 1625 pregnant women.Among these,3265 samples with all 67 indicators were used to establish data set F1;4806 samples with 38 identical indicators were used to establish data set F2.Each of F1 and F2 was used for training the random forest algorithm.The overall predictive accuracy of the F1 model was 93.10%,area under the receiver operating characteristic curve(AUC)was 0.66,and the predictive accuracy of GDM-positive cases was 37.10%.The corresponding values for the F2 model were 88.70%,0.87,and 79.44%.The results thus showed that the F2 prediction model performed better than the F1 model.To explore the impact of sacrificial indicators on GDM prediction,the F3 data set was established using 3265 samples(F1)with 38 indicators(F2).After training,the overall predictive accuracy of the F3 model was 91.60%,AUC was 0.58,and the predictive accuracy of positive cases was 15.85%.Conclusions:In this study,a model for predicting GDM with several input variables(e.g.,physical examination,past history,personal history,family history,and laboratory indicators)was established using a random forest regression algorithm.The trained prediction model exhibited a good performance and is valuable as a reference for predicting GDM in women at an early stage of pregnancy.In addition,there are cer tain requirements for the propor tions of negative and positive cases in sample data sets when the random forest algorithm is applied to the early prediction of GDM.

Intricacies during pregnancy with gestational diabetes mellitus

The study by Cao et al aimed to identify early second-trimester biomarkers that could predict gestational diabetes mellitus(GDM)development using advanced proteomic techniques,such as Isobaric tags for relative and absolute quantitation isobaric tags for relative and absolute quantitation and liquid chromatography-mass spectrometry liquid chromatography-mass spectrometry.Their analysis revealed 47 differentially expressed proteins in the GDM group,with retinol-binding protein 4 and angiopoietin-like 8 showing significantly elevated serum levels compared to controls.Although these findings are promising,the study is limited by its small sample size(n=4 per group)and lacks essential details on the reproducibility and reliability of the protein quantification methods used.Furthermore,the absence of experimental validation weakens the interpretation of the protein-protein interaction network identified through bioinformatics analysis.The study's focus on second-trimester biomarkers raises concerns about whether this is a sufficiently early period to implement preventive interventions for GDM.Predicting GDM risk during the first trimester or pre-conceptional period may offer more clinical relevance.Despite its limitations,the study presents valuable insights into potential GDM biomarkers,but larger,well-validated studies are needed to establish their predictive utility and generalizability.

Comparative effects of insulin pump and injection on gestational diabetes mellitus pregnancy outcomes and serum biomarkers

BACKGROUND Insulin injection is the basic daily drug treatment for diabetic patients.AIM To evaluate the comparative impacts of continuous subcutaneous insulin infusion(CSII).METHODS Based on the treatment modality received,the patients were allocated into two cohorts:The CSII group and the multiple daily injections(MDI)group,with each cohort comprising 210 patients.Comparative assessments were made regarding serum levels of serum-secreted frizzled-related protein 5,homocysteine,and C1q/TNF-related protein 9.Furthermore,outcomes such as fasting plasma glucose,2-hour postprandial glucose levels,pain assessment scores,and the incidence of complications were evaluated post-treatment.RESULTS The CSII group displayed notably lower fasting plasma glucose and 2-h postprandial glucose levels in comparison to the MDI group(P<0.05).Subsequent analysis post-treatment unveiled a significantly higher percentage of patients reporting no pain in the CSII group(60.00%)in contrast to the MDI group(36.19%)(P<0.05).Additionally,the CSII group exhibited a markedly reduced occurrence of fetal distress and premature rupture of membranes compared to the MDI group(P<0.05).However,there were no significant variances observed in other pregnancy outcomes between the two groups(P>0.05).A statistical analysis revealed a significant difference in the incidence of complications between the groups(χ^(2)=11.631,P=0.001).CONCLUSION The utilization of CSII via an insulin pump,as opposed to MDI,can significantly enhance the management of insulin administration in patients with GDM by diversifying the sites of insulin delivery.This approach not only promotes optimal glycemic control but also regulates metabolic factors linked to blood sugar,reducing the likelihood of adverse pregnancy outcomes and complications.The clinical relevance and importance of CSII in GDM management highlight its wide-ranging clinical usefulness.

Prediction of Gestational Diabetes Mellitus in Early Pregnancy: Is Abdominal Skin Fold Thickness 20 mm or More an Independent Risk Predictor?

Background: Gestational Diabetes Mellitus (GDM) is associated with several maternal and perinatal complications. Early detection and treatment can improve pregnancy outcomes. Objectives: To determine the prevalence, risk factors and predictors of GDM in early pregnancy at the University of Port Harcourt Teaching Hospital, (UPTH), Port Harcourt Nigeria. Methods: A cohort of 235 mothers who registered for antenatal care between 15 - 18 weeks of gestation at UPTH was prospectively studied. Their socio-demographic data, examination findings, anthropometric measurements, fasting blood sugar at booking and OGTT results at 28 weeks gestation were collated and entered into PC with SPSS for windows version 21.0 which was also used for the analysis. Variables were expressed as absolute numbers, percentages or means with standard deviations and significant differences determined using chi square test or the student “t” test as appropriate. The level of significance was set at P < 0.05. Results: Of the 235 participants, 35 (14.9%) developed GDM. Women who had GDM were significantly older (P = 0.001), had higher weight (t = 2.95, P = 0.01), BMI (t = 2.29, P = 0.02), abdominal skin fold thickness (t = 4.15, P = 0.001), blood pressure (t = 3.38, P = 0.001) compared to women who did not. Previous history of GDM was significantly different between two groups as χ2 = 93.56 and P = 0.001. Abdominal skin fold thickness and prior GDM history were found to be independent predictors of GDM on application of multiple logistic regression analysis. Conclusion: The prevalence of GDM in Port Harcourt is 14.9% and major risk factors are obesity, previous GDM history, advanced age and hypertension. Abdominal skin fold thickness ≥ 20 mm is an independent predictor. The risk of developing GDM can be predicted in early second trimester using algorithm incorporating risk factor screening and anterior abdominal wall skin fold thickness estimation.

Food Intake Characteristics during Early Pregnancy in Women with Gestational Diabetes Mellitus

To investigate the characteristic food intake during early pregnancy in women with gestational diabetes mellitus (GDM) in a rural city in Aomori Prefecture, Japan, one hundred and twenty-one women were recruited and queried about their habitual dietary intake. Food intake of patients was assessed using the model nutritional balance chart at 12 - 16, 24 - 28, and 34 - 36 weeks of gestation. Of the 121 pregnant women examined, 19 were obese. During early pregnancy, food intake ratios of the obese women were significantly lower than those of the non-obese women for the categories of milk (p < 0.001) and sugar (p < 0.05). GDM group was 7 women among 19 women in obesity group during mid-pregnancy. During early pregnancy, women with GDM had significantly higher sugar intake ratios than women without GDM (p < 0.05). These results suggested that obese pregnant women are able to prevent GDM by limiting their sugar intake during early pregnancy.

Early neonatal complications in pregnant women with gestational diabetes mellitus and the effects of glycemic control on neonatal infection

BACKGROUND Gestational diabetes mellitus(GDM)has become increasingly prevalent globally.Glycemic control in pregnant women with GDM has a critical role in neonatal complications.AIM To analyze the early neonatal complications in GDM,and examine the effect of blood glucose control level on neonatal infection.METHODS The clinical data of 236 pregnant women with GDM and 240 healthy pregnant women and newborns during from March 2020 to December 2021 the same period were retrospectively analyzed,and the early complications in newborns in the two groups were compared.The patients were divided into the conforming glycemic control group(CGC group)and the non-conforming glycemic control group(NCGC group)based on whether glycemic control in the pregnant women with GDM conformed to standards.Baseline data,immune function,infectionrelated markers,and infection rates in neonates were compared between the two groups.RESULTS The incidence of neonatal complications in the 236 neonates in the GDM group was significantly higher than that in the control group(P<0.05).Pregnant women with GDM in the NCGC group(n=178)had significantly higher fasting plasma glucose,2 h postprandial blood glucose and glycated hemoglobin A1C levels than those in the CGC group(n=58)(P<0.05).There were no differences in baseline data between the two groups(P>0.05).Additionally,the NCGC group had significantly decreased peripheral blood CD3^(+),CD4^(+),CD8^(+)T cell ratios,CD4/CD8 ratios and immunoglobulin G in neonates compared with the CGC group(P<0.05),while white blood cells,serum procalcitonin and C-reactive protein levels increased significantly.The neonatal infection rate was also significantly increased in the NCGC group(P<0.05).CONCLUSION The risk of neonatal complications increased in pregnant women with GDM.Poor glycemic control decreased neonatal immune function,and increased the incidence of neonatal infections.

Study on the correlation and predictive value of serum pregnancyassociated plasma protein A, triglyceride and serum 25-hydroxyvitamin D levels with gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)is a concern due to its rapid increase in incidence in recent years.AIM To investigate the correlation and predictive value of serum pregnancyassociated plasma protein A(PAPP-A),triglyceride(TG),and 25-hydroxyvitamin D[25-(OH)D]with GDM in early pregnancy.METHODS A total of 99 patients in early pregnancy admitted to Peking University International Hospital from November 2015 to September 2017 were included,and underwent a fasting glucose test and oral glucose tolerance test screening at 24-28 wk of pregnancy.Of these cases with GDM,51 were assigned to group A and the remaining 48 cases without GDM were enrolled in group B.Serum PAPP-A,TG and 25-(OH)D in the two groups were compared and their correlation with blood sugar was analyzed.In addition,their diagnostic value in GDM was determined using receiver operating characteristic(ROC)curve analysis.RESULTS Group A had markedly lower serum PAPP-A and 25-(OH)D levels and a significantly higher serum TG level than group B,with statistical significance(P<0.05).Furthermore,Pearson analysis identified that PAPP-A and 25-(OH)D levels were negatively correlated with fasting blood glucose(FBG)levels(r=-0.605,P<0.001),(r=-0.597,P<0.001),while TG and FBG levels were positively correlated(r=0.628,P<0.001).The sensitivity,specificity,area under the curve(AUC)and optimal cut-off value of serum PAPP-A level in the diagnosis of GDM were 72.55%,82.35%,0.861 and 16.340,respectively,while the sensitivity of TG in diagnosing GDM was 86.27%,the specificity was 66.67%,the AUC was 0.813,with an optimal cut-off value of 1.796.The corresponding sensitivity,specificity,AUC and optimal cut-off value of serum 25-(OH)D were 64.71%,70.59%,0.721 and 23.140,respectively.Moreover,multivariate logistic regression analysis revealed that FBG,vascular endothelial growth factor,Flt-1,serum PAPP-A,TG,and 25-(OH)D were related risk factors leading to GDM in patients.CONCLUSION Serum PAPP-A,TG,and 25-(OH)D levels are all correlated with blood glucose changes in GDM,and are independent factors affecting the occurrence of GDM and have certain value in the diagnosis of GDM.

Effect of individualized nutrition interventions on clinical outcomes of pregnant women with gestational diabetes mellitus

BACKGROUND Gestational diabetes mellitus(GDM)can lead to excessive pregnancy weight gain(PWG),abnormal glucolipid metabolism,and delayed lactation.Therefore,it is necessary to provide appropriate and effective interventions for pregnant women with GDM.AIM To clarify the effects of individualized nutrition interventions on PWG,glucolipid metabolism,and lactation in pregnant women with GDM.METHODS The study population consisted of 410 pregnant women with GDM who received treatment at the Northern Jiangsu People's Hospital of Jiangsu Provinceand Yangzhou Maternal and Child Health Hospital between December 2020 and December 2022,including 200 who received routine in-terventions[control(Con)group]and 210 who received individualized nutrition interventions[research(Res)group].Data on PWG,glucolipid metabolism[total cholesterol,(TC);triglycerides(TGs);fasting blood glucose(FPG);glycosylated hemoglobin(HbA1c)],lactation time,perinatal complications(cesarean section,premature rupture of membranes,postpartum hemorrhage,and pregnancy-induced hypertension),and neonatal adverse events(premature infants,fetal macrosomia,hypo-glycemia,and respiratory distress syndrome)were collected for comparative analysis.RESULTS The data revealed markedly lower PWG in the Res group vs the Con group,as well as markedly reduced TG,TC,FPG and HbA1c levels after the intervention that were lower than those in the Con group.In addition,obviously earlier lactation and statistically lower incidences of perinatal complications and neonatal adverse events were observed in the Res group.CONCLUSION Individualized nutrition interventions can reduce PWG in pregnant women with GDM,improve their glucolipid metabolism,and promote early lactation,which deserves clinical promotion.

The Treatment of Gestational Diabetes Mellitus

Pre-pregnancy glucose metabolism is normal, only during pregnancy diabetes known as gestational diabetes mellitus. Currently, the diagnostic criteria for gestational diabetes mellitus are IADPSG criteria (International Association of Diabetes and Pregnancy Study Group), and 75 g oral glucose tolerance test is recommended at 24 - 28 weeks of gestation. Gestational diabetes is associated with many pregnancy complications, such as macrosomia, preterm delivery and increased cesarean section rates, and neonatal complications such as hypoglycemia, hypoxia, and respiratory distress syndrome. Early identification of high-risk groups can be carried out for early prevention and intervention which are conducive to improving mothers and infants perinatal outcome. For the treatment of gestational diabetes, lifestyle interventions, such as improved diet combined with exercise to control blood sugar, are recommended first. For patients with poor blood glucose control, insulin is recommended for blood glucose control, and oral drug use is still controversial.

Excessive gestational weight gain in early pregnancy and insufficient gestational weight gain in middle pregnancy increased risk of gestational diabetes mellitus

Background:Gestational weight gain(GWG)is associated with the risk of gestational diabetes mellitus(GDM).However,the effect of weight gain in different trimesters on the risk of GDM is unclear.This study aimed to evaluate the effect of GWG on GDM during different trimesters.Methods:A birth cohort study was conducted from 2017 to 2020 in Shenzhen,China.In total,51,205 participants were included comprising two models(early pregnancy model and middle pregnancy model).Gestational weight(kg)was measured at each prenatal clinical visit using a standardized weight scale.Logistic regression analysis was used to assess the risk of GDM.Interaction analysis and mediation effect analysis were performed in the middle pregnancy model.Results:In the early pregnancy model,the risk of GDM was 0.858 times lower(95%confidence interval[CI]:0.786,0.937)with insufficient GWG(iGWG)and 1.201 times higher(95%CI:1.097,1.316)with excessive GWG after adjustment.In the middle pregnancy model,the risk of GDM associated with iGWG increased 1.595 times(95%CI:1.418,1.794)after adjustment;for excessive GWG,no significant difference was found(P=0.223).Interaction analysis showed no interaction between GWG in early pregnancy(GWG-E)and GWG in middle pregnancy(GWG-M)(F=1.268;P=0.280).The mediation effect analysis indicated that GWG-M plays a partial mediating role,with an effect proportion of 14.9%.Conclusions:eGWG-E and iGWG-M are associated with an increased risk of GDM.Strict control of weight gain in early pregnancy is needed,and sufficient nutrition should be provided in middle pregnancy.

Comparative Study on Clinical Characteristics and Outcomes of Overt Diabetes Mellitus and Gestational Diabetes Mellitus in Late Pregnancy

Background: With the rising prevalence in recent years, gestational diabetes mellitus has become one of the leading causes of maternal and child mortality and morbidity worldwide and has raised health concern. It is seriously detrimental to both the women and fetuses. However, there are limited evidences of two types of gestational diabetes mellitus on clinical characteristics and outcomes. Therefore, this study was aimed to explore the clinical characteristics and outcomes of patients with overt diabetes mellitus (ODM) and gestational diabetes mellitus (GDM) at the late pregnancy. Methods: From January 2015 to August 2016, totally 63 gestational diabetes mellitus from the Department of Clinical Nutrition in Beijing Anzhen Hospital were enrolled in the study. Patients were classified into two groups. 31 patients with gestational overt diabetes mellitus were grouped into ODM group and 32 patients with gestational diabetes mellitus were grouped into GDM group. Clinical characteristics and outcomes were compared between ODM and GDM. We collected records of the age, gestational week, family history, past history, pregnancy complications, insulin use, blood pressure, clinical nutrition indexes, blood pressure. Glycosylated hemoglobin (HbA1c), fasting blood glucose (FBG), total protein (TP), albumin (ALB), prealbumin (PALB), hemoglobin (HGB), urea nitrogen (BUN), serum creatinine (CREA), and dynamic blood glucose monitoring were measured. And we recorded the changes of blood glucose and the test data. We statistically analyzed the data of two groups. Results: In the ODM group, HbA1c, FBG, average blood glucose, two-hour postprandial blood glucose (2hPBG) after breakfast, 2hPBG after dinner, the number of hyperglycemic events and high blood glucose time ratio are significantly higher than those of GDM and two groups compared with statistical significance (P < 0.05). The number of patients treated with insulin (10/31) in ODM is significantly more than that in GDM (1/32) (P < 0.05). 45% (14/31) of ODM have a family history of diabetes patients. The ratio is significantly higher than 13% (4/32) of GDM (P < 0.05). There was significant difference in urinary ketone positive rate between the two groups (P < 0.05), but there was no significant difference in urinary microalbumin abnormal rate between them (P > 0.05). The number of preeclampsia in ODM (8/31) is significantly higher than that of GDM (P < 0.05). The level of HGB in ODM is lower than that of GDM (P < 0.05). There was no difference in the pregnancy outcomes between the two groups. Conclusion: Late pregnancy women with ODM have obvious family history, higher HbA1c, higher FBG, higher glucose levels of two-hours after breakfast and dinner, higher average blood glucose, longer hypoglycemia time, higher probability of hyperglycemic events and greater opportunity to use insulin in the treatment of symptomatic patients, higher risk of preeclampsia, lower HGB level than GDM, while GDM has higher positive rate of urine ketone than ODM.

Gestational diabetes mellitus and COVID-19:The epidemic during the pandemic

During the global coronavirus disease 2019(COVID-19)pandemic,people worldwide have experienced an unprecedented rise in psychological distress and anxiety.In addition to this challenging situation,the prevalence of diabetes mellitus(DM),a hidden epidemic,has been steadily increasing in recent years.Lower-middle-income countries have faced significant barriers in providing accessible prenatal care and promoting a healthy diet for pregnant women,and the pandemic has made these challenges even more difficult to overcome.Pregnant women are at a higher risk of developing complications such as hypertension,preeclampsia,and gestational diabetes,all of which can have adverse implications for both maternal and fetal health.The occurrence of gestational diabetes has been on the rise,and it is possible that the pandemic has worsened its prevalence.Although data is limited,studies conducted in Italy and Canada suggest that the pandemic has had an impact on gestational diabetes rates,especially among women in their first trimester of pregnancy.The significant disruptions to daily routines caused by the pandemic,such as limited exercise options,indicate a possible link between COVID-19 and an increased likelihood of experiencing higher levels of weight gain during pregnancy.Notably,individuals in the United States with singleton pregnancies are at a significantly higher risk of excessive gestational weight gain,making this association particularly important to consider.Although comprehensive data is currently lacking,it is important for clinical researchers to explore the possibility of establishing correlations between the stress experienced during the pandemic,its consequences such as gestational gain weight,and the increasing incidence of gestational DM.This knowledge would contribute to better preventive measures and support for pregnant individuals during challenging times.

Analysis on Family History of Diabetes, Weight Gain during Pregnancy and Pre-pregnancy Body Mass Index on 82 Pregnant Women with Gestational Diabetes Mellitus

Objective:To investigate the effects of family history of diabetes mellitus,Gestational Weight Gain(GWG)and Body Mass Index(BMI)before pregnancy on Gestational Diabetes Mellitus(GDM).Method:82 pregnant women with GDM who were hospitalized and delivered in the obstetrics department of our hospital from September 2017 to September 2019 were selected as the observation group,and 60 pregnant women with normal glucose tolerance test in the same period were selected as the control group;The relationship between family history of diabetes,weight gain during pregnancy and pre-pregnancy Body Mass Index and GDM were analyzed.Results:The age,pre-pregnancy weight and weight gain during pregnancy were significantly higher in the observation group than in the control group(P<0.05),and the family history of diabetes and pre-pregnancy Body Mass Index were higher in the observation group than in the control group(P<0.05),and the differences were statistically significant.Conclusion:It is suggested that family history of diabetes is related to gestational diabetes mellitus.Excessive GWG growth during pregnancy and high Body Mass Index before pregnancy may increase the risk of gestational diabetes mellitus in pregnant women.

Association between Maternal Serum Concentrations of Angiopoietin-like Protein 2 in Early Pregnancy and Subsequent Risk of Gestational Diabetes Mellitus

Background：A recent study reported a positive association between elevated serum levels of angiopoietin-like protein 2 （ANGPTL2） and the development of type 2 diabetes in a general population.However,the relationship of serum ANGPTL2 levels with the risk of developing gestational diabetes mellitus （GDM） has not been reported to date.The aim of this study was to investigate the change of maternal serum ANGPTL2 concentrations in the first trimester of pregnancy and to determine whether ANGPTL2 is a biomarker for subsequent GDM development.Methods：We conducted a prospective,nested case-control study in a pregnancy cohort.First-trimester ANGPTL2 levels were measured using a high-resolution assay in 89 women who subsequently developed GDM and in a random sample of 177 women who remained euglycemic throughout the pregnancy.Median ANGPTL2 levels were compared using Mann-Whitney U-test.Logistic regression was used to compute unadjusted and multivariable-adjusted odds ratios for developing GDM among ANGPTL2 quartiles.Results：The serum levels of ANGPTL2 was higher in women with GDM than that in women without GDM （3.06 [2.59,3.65] ng/ml vs.2.46 [2.05,2.96] ng/ml,P =0.003）.Fasting blood glucose was higher in women with GDM than that in women without GDM （5.0 ± 0.9 mmol/L vs.4.4 ± 0.6 mmol/L,P 〈 0.001）.Glucose challenge test showed that the blood glucose was higher in women with GDM than that in women without GDM （9.1 ± 3.5 mmol/L vs.6.2 ± 1.2 mmol/L,P 〈 0.001）.A multivariate model adjusted for baseline characteristics,medical complications,and gestational characteristics revealed that the risk of developing GDM among women in Q4 compared with Q1 was 2.90-fold more likely to develop GDM later in pregnancy.Conclusions：At 1 1-13 weeks in pregnancies that develop GDM,the serum concentration of ANGPTL2 is increased,and it can be combined with maternal factors to provide effective early screening for GDM.

Current progress in metabolomics of gestational diabetes mellitus

Gestational diabetes mellitus(GDM)is one of the most common metabolic disorders of pregnancy and can cause short-and long-term adverse effects in both pregnant women and their offspring.However,the etiology and pathogenesis of GDM are still unclear.As a metabolic disease,GDM is well suited to metabolomics study,which can monitor the changes in small molecular metabolites induced by maternal stimuli or perturbations in real time.The application of metabolomics in GDM can be used to discover diagnostic biomarkers,evaluate the prognosis of the disease,guide the application of diet or drugs,evaluate the curative effect,and explore the mechanism.This review provides comprehensive documentation of metabolomics research methods and techniques as well as the current progress in GDM research.We anticipate that the review will contribute to identifying gaps in the current knowledge or metabolomics technology,provide evidence-based information,and inform future research directions in GDM.

Intermediate hyperglycemia in early pregnancy:A South Asian perspective

“Intermediate hyperglycemia in early pregnancy(IHEP)”refers to mild hyperglycemia detected before 24 gestational weeks(GW),satisfying the criteria for the diagnosis of gestational diabetes mellitus.Many professional bodies recommend routine screening for“overt diabetes”in early pregnancy,which identifies a significant number of women with mild hyperglycemia of undetermined significance.A literature search revealed that one-third of GDM women in South Asian countries are diagnosed before the conventional screening period of 24 GW to 28 GW;hence,they belong in the IHEP category.Most hospitals in this region diagnose IHEP by oral glucose tolerance test(OGTT)using the same criteria used for GDM diagnosis after 24 GW.There is some evidence to suggest that South Asian women with IHEP are more prone to adverse pregnancy events than women with a diagnosis of GDM after 24 GW,but this observation needs to be proven by randomized control trials.Fasting plasma glucose is a reliable screening test for GDM that can obviate the need for OGTT for GDM diagnosis among 50%of South Asian pregnant women.HbA1c in the first trimester predicts GDM in later pregnancy,but it is not a reliable test for IHEP diagnosis.There is evidence to suggest that HbA1c in the first trimester is an independent risk factor for several adverse pregnancy events.Further research to identify the pathogenetic mechanisms behind the fetal and maternal effects of IHEP is strongly recommended.

Impact of different stereoisomers of inositol on insulin sensitivity of gestational diabetes mellitus patients

BACKGROUND Inositol is a hexa-carbon polyol,a naturally soluble vitamin,often found in various foods.AIM To discuss the impact of different stereoisomers of inositol on insulin sensitivity of gestational diabetes mellitus(GDM)patients.METHODS Eighty GDM pregnant women were divided into four groups according to their treatment received:A group(placebo folic acid 400μg/d),B group[myo-inositol(MI)1500 mg,twice a day],C group[D-chiro-inositol(DCI)250 mg,twice a day],and D group(inositol MI and inositol DCI 1500 mg/250 mg,twice a day).Each patient routinely used dietary guidance adjustments and did some safe and effective aerobic exercise in addition to receiving placebo or inositol from GDM diagnosis to delivery.Triglyceride,total cholesterol,fasting plasma glucose,oral glucose tolerance test postprandial glucose(2 h postprandial blood glucose),fasting insulin,fasting plasma glucose,and glycosylated hemoglobin levels and Homeostasis Model Assessment-insulin resistance(HOMA-IR)and Homeostasis Model Assessment-insulin sensitivity index(HOMA-ISI)scores were determined before treatment and 8 wk after treatment onset.Adverse maternal and infant outcomes,including hypoglycemia,excessive amniotic fluid,premature infants,macrosomia,fetal distress etc.,were also recorded.RESULTS There was no statistical difference in the baseline data of each group.The levels of 2 h blood glucose,glycosylated hemoglobin,fasting insulin,total cholesterol,and triglyceride in the B,C,and D groups were significantly lower than those in the control group(A group)after treatment(P<0.05).Moreover,compared with the B group,the level of the above indexes in the C and D groups decreased more significantly,and the differences were statistically significant(P<0.05).The HOMA-IR of B,C,and D groups decreased significantly,and the HOMA-ISI increased significantly compared with the A group,and the differences were statistically significant(P<0.05),among which the decrease of HOMA-IR and the increase of HOMA-ISI were more significant in the C and D group compared with the B group(P<0.05).The occurrence rate of adverse maternal and infant outcomes in the C and D group was significantly lower than that in the control group(A group),and the differences were statistically significant(P<0.05).CONCLUSION Treatment with different inositol stereoisomers(inositol MI and inositol DCI)can improve insulin sensitivity and reduce insulin resistance in diabetic patients,and inositol DCI has a better curative effect than inositol MI.

Analysis of specific lipid metabolites in cord blood of patients with gestational diabetes mellitus

This work aimed to clarify the interaction between the fetus and pregnant patients with gestational diabetes mellitus(GDM),the lipid metabolomics analysis of the fetal umbilical cord blood of GDM patients and normal pregnant women were performed to screen out the specific lipid metabolites for pathogenesis of GDM.From 2019–2020,21 patients with GDM and 22 normal pregnant women were enrolled in Hexian Memorial Hospital,Panyu District,Guangzhou.The general information such as weight,height,age,body mass index(BMI)before pregnancy were analyzed.Non-targeted metabonomic detection and analysis were performed in umbilical cord plasma using LCMS method.The age,BMI,delivery methods,and infant weight were different between GDM and control.There were 167 lipid metabolites in umbilical cord blood associated with GDM.Among them,158 upregulated and 9 downregulated in GDM.There were 13 dysregulated metabolites with C<30,including Lyso-phosphatidyl-colines LPC 16:0,18:2,18:1,18:0,20:4 and 22:6,glycerophosphocholines PC O-16:1,oleoylcarnitine CAR 18:2 and 18:1,dihexosylceramides Hex2Cer 13:0;2O,phosphatidylethanolamine PE O-22:6_2:0 and PE O-22:6_3:0 and sphingomyelin SM 8:0;2O/11:0.Those metabolites were associated with glycerophospholipid metabolism and sphingolipid metabolism.Therefore,Lyso-phosphatidyl-colines,glycerophosphocholines,oleoylcarnitine,dihexosylceramides,phosphatidylethanolamine,and sphingomyelin were main lipid metabolites of GDM,which might be used for diagnosis and treatment of GDM.

Gestational Diabetes Mellitus: New Diagnostic Criteria

Gestational mellitus diabetes (GDM) is a highly prevalent metabolic disorder among pregnant women nowadays. It is defined as any level of glucose intolerance, appearing or first being recognized during pregnancy. It is essential to diagnose and treat GDM early, in order to reduce or avoid complications for mother and fetus. Recently, new guidelines have changed the diagnosis criteria, and it is expected that the prevalence of GDM will increase by approximately 18%. A relevant goal of these new definitions is to provide a better care for pregnant women, in an attempt to reduce fetal and maternal complications. These new criteria will also increase the impact on costs of the health care system. Treatment must be individualized for best results, including a specific diet, physical activity and the use of medications. Metformin and Insulin use are analyzed in detail, in face of new evidences regarding their safety and efficacy during pregnancy.

Gestational Diabetes Mellitus and Its Associated Risk Factors in Pregnant Women at Selected Health Facilities in Kigali City, Rwanda

Background: Gestational Diabetes Mellitus (GDM) is the most common complication of pregnancy that causes chronic hypertension, increased rate of cesarean delivery, fetal mortality and morbidity. Therefore, early diagnosis of GDM is vital to reduce maternal and fetal morbidity. Moreover, it can circumvent or procrastinate the onset of type 2 diabetes. Objectives: The main objective of this study was to determine the prevalence of GDM in pregnant women attending Kimironko, Kicukiro and Muhima Health Centres. The specific objectives were to determine the blood glucose during the second trimester in pregnant women aged between 21 and 45 years, to find out the frequencies of pregnant women presenting with GDM according to age and to assess some promising risk factors associated with GDM. Methods: A cross-sectional study was carried out at Kimironko, Kicukiro and Muhima Health centers using a sample size of 96 pregnant women. Blood glucose levels were measured using glucose oxidase method with a glucometer. Data were analyzed by using Microsoft Office Excel and SPSS version 20. Results: Out of 96 pregnant women who participated in the study, 8.3% were found to have GDM with the mean ± 2SD of 194.12 ± 25.53 mg/dl of their blood glucose results (Mean ± 2SD: A 95% level of confidence Intervals). The highest proportion of GDM was revealed in pregnant women aged between 26 - 30 years, representing a frequency of 5.2% whereas 2.1% of GDM was reflected in women aged between 21 - 25 years. The lowest proportion of GDM fell in age group of 31 - 35 years contributing to 1% of the total GDM. There were no cases of GDM in pregnant women in the 36 - 40 or 41 - 45 age groups. The mean ± 2SD of participant’s age groups was 27.12 ± 5.01 years. In addition, while obesity did not show to be associated with GDM, age and family history were found to be risk factors of GDM. Conclusion: The findings of this study revealed that the prevalence of GDM was 8.3% and the most affected pregnant women were in the age group of 26 - 30 years.