Independent Risk Factor For Gestational Diabetes Mellitus Research Articles

Glycated CD59 is a potential biomarker for gestational diabetes mellitus.

To explore the diagnostic value of glycated CD59 (gCD59) in gestational diabetes mellitus (GDM). A total of 707 pregnant women who underwent the first visit in the obstetric outpatient clinic of the Affliated Suqian Hospital of Xuzhou Medical University from January 2022 to July 2023 were included, and were grouped according to the International Association of the Diabetes and Pregnancy Study Groups(IADPSG) diagnostic criteria, and finally 113 cases in the GDM group and 559 cases in the normal glucose tolerance (NGT) group were included, and the concentration of gCD59 was determined by enzyme-linked immunosorbent assay (ELISA). The baseline data characteristics of the two groups were compared, the risk factors for GDM were explored by multivariate binary logistic analysis, and the diagnostic value of gCD59 in predicting GDM was explored by receiver operating characteristic (ROC) curve analysis. The level of gCD59 in the GDM group was significantly higher than that in the NGT group (1.49 SPU vs 0.87 SPU). Multivariate regression analysis showed that gCD59, diastolic blood pressure (DBP) and thyroid stimulating hormone (TSH) were independent risk factors for GDM.The area under the curve (AUC) of gCD59 for the diagnosis of GDM was 0.681 (95% CI: 0.583-0.717), with a sensitivity of 71.7% and a specificity of 58.3%. In combination with fasting glucose, gCD59 effectively diagnosed GDM with higher AUC of 0.871 (95% CI: 0.708-1.000). gCD59 is an independent risk factor for GDM and a good biomarker for the diagnosis of GDM.

Analysis of Risk Factors Associated with Gestational Diabetes Mellitus: A Retrospective Case-Control Study.

Gestational diabetes mellitus (GDM) is a complication of abnormal glucose tolerance during pregnancy, with incidence is on the rise. There are inconsistent results on the risks of GDM and it has not been reported in our region. The purpose of this study is to explore the risk factors of GDM. A total of 383 pregnant women were analyzed, including 67 (17.5%) pregnant women with GDM and 316 (82.5%) with normal glucose tolerance (NGT). The relationship of personal history, family history and reproductive history of pregnant women, the levels of alpha-fetoprotein (AFP), human chorionic gonadotropin (HCG), inflammatory markers in blood cell analysis at the first prenatal examination, and fetal ultrasound indices and the risk of GDM were analyzed. The fetal biparietal diameter, head circumference, and femur length were negatively correlated with HCG level, but not inflammatory markers. The proportion of pregnant women aged ≥30 years old, body mass index (BMI) in early pregnancy≥24.0 kg/m2, history of polycystic ovary syndrome (PCOS), cesarean section, adverse pregnancy, and oral contraceptive use, and pregnant women who conceived through assisted reproduction in GDM group were higher than those in NGT group. Logistic regression analysis showed that age of pregnant woman ≥30 years old (≥30 vs <30 years old, odds ratio (OR): 2.142, 95% confidence interval (CI): 1.183-3.878, p=0.012), BMI≥24.0 kg/m2 (≥24.0 kg/m2 vs 18.5-23.9 kg/m2, OR: 1.887, 95% CI: 1.041-3.420, p=0.036), history of adverse pregnancy (yes vs no, OR: 1.969, 95% CI: 1.022-3.794, p=0.043), and history of oral contraceptive use (yes vs no, OR: 2.868, 95% CI: 1.046-7.863, p=0.041) were associated with GDM. Age of pregnant woman ≥30 years old, BMI≥24.0 kg/m2, history of adverse pregnancy and oral contraceptive use were independent risk factors for GDM.

Sleep conditions and sleep hygiene behaviors in early pregnancy are associated with gestational diabetes mellitus: A propensity-score matched study.

To explore the influence of sleep conditions and sleep hygiene behaviors in early pregnancy on gestational diabetes mellitus (GDM) development. This 1:1 propensity-score matched study included 1,216 pregnant women divided into GDM and control groups based on diagnosis via the oral glucose tolerance test at 24-28 gestational weeks. Sleep conditions and hygiene behaviors were evaluated using structural questionnaires, including the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Sleep Hygiene Practice Scale. Univariate and multivariate logistic regression analyses and Spearman's correlation were conducted to identify the associations. After adjusting for baseline clinical characteristics, women with GDM were more likely to have poor sleep quality (adjusted odds ratio [AOR] = 1.585, 95% confidence interval [CI]: 1.261-1.992) and higher scores for subjective sleep quality, latency, duration, efficiency, and sleep disturbances (all P < 0.01). Mild sleepiness (AOR = 1.311, 95% CI: 1.012-1.699) and worrying about not being able to fall asleep (AOR = 1.123, 95% CI: 1.005-1.255) were more likely to occur in the GDM group. Sleep quality and hygiene behaviors such as sleep-irrelevant activities, staying in bed after waking up, weekend catch-up sleep, and overeating before bedtime were significantly correlated with gestational diabetes variables. Poor sleep conditions and specific sleep hygiene behaviors in early pregnancy may be independent risk factors for GDM. This suggests that sleep assessment and behavior education can be used as new approaches for the early implementation of surveillance and prevention of GDM.

The association between visceral adipose thickness and gestational diabetes mellitus in the first trimester

Objective: To investigate the association between visceral adipose tissue (VAT) thickness in early pregnancy and the risk of gestational diabetes mellitus (GDM). Methods: Based on the Qingdao Women and Children Health Cohort, pregnant women in the first trimester (11-13+6 weeks of gestation) were enrolled in this cohort study between May 2019 and October 2022. The VAT was measured in first trimester and determined as the distance from the inner margin of the rectus abdominis muscle to the anterior wall of the great artery using multi-functional color ultrasound. The 75 g oral glucose tolerance test (OGTT) results were followed up at 24-28 weeks and the participants were divided into GDM group and non-GDM group. The pregnant women were divided into 4 groups according to the VAT quartile. Log-binomial model and linear regression model were used to analyze the association between VAT and GDM/blood glucose. Results: A total of 3 686 pregnant women were included in this study, the mean age of participants was (30.56±4.05) years and 722 were diagnosed with GDM, with an incidence of 19.6%. The log-binomial regression model results showed that compared with VAT thickness Q1 (VAT<14.70 mm), the GDM risk in Q3 (21.65≤VAT≤29.69 mm) and Q4 (VAT ≥29.70 mm) increased by 34% [RR(95%CI): 1.34 (1.08-1.67)], and 61% [RR(95%CI): 1.61 (1.30-2.00)], respectively. Among women with gestational age<35 years old, compared with VAT thickness Q1, the risk of GDM increased by 42% in Q3 [RR(95%CI): 1.42 (1.22-1.65)] and 70% [RR(95%CI): 1.70 (1.46-1.98)] in Q4, whereas no associations were found in women with gestational age ≥35 years old (P>0.05). The association between VAT and GDM risk was only found in pregnant women with pre-pregnancy BMI <24.0 kg/m2, and the GDM risk increased by 57% [RR(95%CI): 1.57 (1.22-2.04)] in Q3 and 65% [RR(95%CI): 1.65 (1.24-2.19)] in Q4 compare with Q1. The results of multiple linear regression analysis showed that VAT was positively correlated with fasting blood glucose, 1-hour blood glucose after 75 g OGTT and 2-hours blood glucose after 75 g OGTT (all Pfor trend<0.001). Conclusion: High VAT thickness in early pregnancy is an independent risk factor for GDM, and the GDM risk increases with the raising of VAT depth.

Clinical and pathological characteristics of gestational diabetes mellitus with different insulin resistance

AimsTo elucidate the clinical and pathological characteristics of gestational diabetes mellitus (GDM) with high and low insulin resistance. MethodsIn total, 1393 GDM and 1001 non-GDM singleton deliveries were included in this study. Insulin resistance subtypes were classified according to the HOMA2-IR value. Clinical data were analyzed using SPSS 26.0. Placenta samples were collected for pathological analysis. ResultsMaternal age and fasting glucose were identified as independent risk factors for GDM with high insulin resistance (p < 0.01), while fasting glucose was the sole risk factor for GDM with low insulin resistance (p < 0.001). Fetal distress was associated with both of GDM subtypes (both p < 0.01), while anemia, fetal growth restriction, large for gestational age and intrahepatic cholestasis in pregnancy were related to specific GDM insulin resistance subtype. In addition, GDM with high insulin resistance showed an increase of syncytial knots with down-regulation of PI3K/AKT signaling, while GDM with low insulin resistance showed normal syncytial knot counts and up-regulation of PI3K/AKT signaling. ConclusionsOur findings provide novel perspectives to the clinical and pathological comprehensions of GDM with high and low insulin resistance, which might facilitate the mechanism study of GDM and its precision pregnancy management.

New perspective on first-trimester serum uric acid level in predicting the risk of gestational diabetes mellitus

This study aimed to investigate the correlation between serum uric acid (UA) and gestational diabetes mellitus (GDM) during the first trimester and provide a new perspective for the prevention and treatment of GDM. Based on the diagnostic criteria of gestational diabetes of the International Association of Diabetes and Pregnancy Study Groups, 1744 and 4256 patients were enrolled in the GDM and normal glucose tolerance (NGT) groups. Four groups were constituted based on the quartile of first-trimester serum UA (UA) level, and the differences in each indicator between groups were compared. Logistic regression was used to analyze the effects of UA level on GDM risk. The rate of GDM in the UA quartile changed from low to high. Significant differences were also observed in fasting plasma glucose level, 1 h post glucose and 2 h post glucose levels, in all the groups (P < 0.05), which increased with the UA level. UA level were independent risk factors for GDM. The best threshold of GDM predicted by the first-trimester UA level was 226.55 μmol/L. The first-trimester UA level in patients with GDM was relatively higher and was an independent risk factor for GDM.

Rising prevalence of gestational diabetes mellitus and its associated risk factors in Makurdi, North-Central Region of Nigeria.

The disease burden of gestational diabetes mellitus (GDM) in sub-Saharan African region have been on the rise. Proper assessment of current prevalence of GDM may inform policy changes and management approach for improved care delivery. To determine the current prevalence of Gestational Diabetes Mellitus (GDM) and evaluate its major risk factors amongst pregnant women in Makurdi, North-Central Nigeria. This was a multi-center hospital-based prospective observational study. Maternal characteristics and clinical risk factors for GDM in a cohort of 281 pregnant women at 9 to 16 weeks gestational age was evaluated. The one-step 75g oral glucose tolerance test (OGTT) was carried out at 24 to 28 weeks of gestation. Of the 356 women recruited, 281 (79.8%) completed the study. The GDM prevalence in the cohort was 16.7%. Increased early pregnancy BMI (adjusted OR = 1.154, 95% CI = 1.080 - 1.233, p<0.001) and presence of family history of diabetes mellitus (adjusted OR = 0.482, 95% CI = 0.233 - 0.997, P<0.05) were independent risk factors for GDM in the cohort. Increasing maternal age and early pregnancy BMI amongst other possible reasons, may account for the rising prevalence of GDM in the region.

Establishment of gestational diabetes risk prediction model and clinical verification

ObjectiveThe present study aimed to evaluate the risk factors for gestational diabetes mellitus (GDM) and build and validate an early risk prediction model of GDM by comparing the differences in the indicators of the first trimester of pregnancy between pregnant women with GDM and non-gestational diabetes mellitus (NGDM). Thus, this study provided a theoretical basis for early intervention of GDM.MethodsA total of 6000 pregnant women who underwent a routine prenatal examination in Qinhuangdao Maternal and Child Health Hospital (Qinhuangdao City, Hebei Province, China) from January 2016–2022 were retrospectively selected and randomly divided into a modeling cohort (4200 cases) and validation cohort (1800 cases) at a ratio of 3:7. According to the results of oral glucose tolerance test (OGTT), they were divided into NGDM and GDM groups. The modeling cohort consisted of 2975 NGDM and 1225 GDM cases, while the validation cohort consisted of 1281 NGDM and 519 GDM cases. The differences in general conditions and laboratory indicators between different groups were compared, and logistic regression analysis was further used to establish a risk prediction model for GDM in the first trimester. The receiver operating characteristic curve (ROC) and Hosmer–Lemeshow (HL) tests were used to evaluate the prediction of the model efficacy.ResultsAge, pre-pregnancy body mass index (BMI), glycosylated hemoglobin (HbA1c), blood uric acid (UA), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C) in the first trimester were independent risk factors for GDM (P < 0.05). The model equation was Y = 1/{1 + exp[− (− 18.373 + age × 0.065 + BMI × 0.030 + first-trimester HbA1c × 2.519 + UA × 0.014 + TG × 0.224-HDL-C × 0.635)]}. The area under the ROC curve (AUC) of the model cohort was 0.803 (0.788–0.817), the sensitivity was 72.0%, and the specificity was 73.5%. The AUC of the validation cohort was 0.782 (0.759–0.806), the sensitivity was 68.6%, and the specificity was 73.8%. The P values of the HL test in both the training and validation sets were > 0.05, indicating a satisfactory model fit.ConclusionAge, pre-pregnancy BMI, HbA1C in early pregnancy, blood UA, TG, and HDL-C are independent risk factors for GDM. The risk prediction model established by combining age, pre-pregnancy BMI, and laboratory indicators in the first trimester can provide a theoretical basis for early screening, monitoring, and intervention of GDM high-risk pregnant women.

Relationship between serum uric acid in early pregnancy and gestational diabetes mellitus: a prospective cohort study.

The association between serum uric acid (UA) and gestational diabetes mellitus (GDM) was still unclear. Serum UA levels in pregnancy differed from that in non-pregnancy. This study aimed to investigate the changes of serum UA in early pregnancy, and to explore the association of serum UA with the risk of GDM. A prospective double-center study including 873 singleton pregnant women was conducted in Beijing, China since 2019 (clinical trial number: NCT03246295). Seventy-eight healthy non-pregnant women were selected to compare the changes of biomarkers in pregnancy. Spearman correlation and logistic regression analysis were performed to measure the relationship between serum UA in early pregnancy and GDM. The incidence of GDM in our cohort was 20.27%(177/873). Compared with non-pregnant women, serum UA and creatinine decreased significantly during early pregnancy. Serum UA concentration in early pregnancy was significantly higher in GDM women than that in normal glucose tolerance (NGT) women [217.0(192.9, 272.0) μmol/l vs. 201.9(176.0, 232.0) μmol/l, p < 0.001]. After adjusted for confounding factors, elevated serum UA remained as an independent risk factor for GDM. The risk of GDM increased when serum UA was above 240 μmol/l (adjusted OR 1.964, 95% CI 1.296-2.977, p < 0.001), and stronger relationships between serum UA and GDM were observed in pregnant women aged over 35 years old and preBMI ≥ 24 kg/m2. The normal range of serum UA and creatinine in pregnant women were lower than those in non-pregnant women. It is essential to monitor serum UA concentrations since early pregnancy to alert and prevent GDM, especially in older and heavier pregnant women. NCT03246295.

The Association Between Body Fat Index and Gestational Diabetes Mellitus: A Prospective Cohort Study.

Body mass index (BMI) has commonly been used to evaluate the risk of gestational diabetesmellitus (GDM), but BMI does not always represent body fat mass distribution.Body fat index (BFI), which includes the measurement of subcutaneousadipose tissue (SAT) and visceral adipose tissue (VAT), has beensuggested to bea better predictor for GDM than BMI. The objective of this study is to compare the risk of GDMamong pregnant females with BFI of >0.5 and ≤0.5. Maternal abdominal subcutaneousadipose tissue (SAT) and visceral adipose tissue (VAT) thickness were measured by ultrasonography before 14 weeks of gestation, and BFI was calculated (VAT×SAT/height). The study group was 160 females with BFI of >0.5, and the comparison group was 80 females with BFI of ≤0.5. All females received GDM screening during the first antenatal visit and at 24-28 weeks of gestation. The rate of GDM was compared between the two groups. The correlation between BFI and BMI and their diagnostic ability for GDM were evaluated. Logistic regression analysis was performed to determine the independent associated factors for GDM. Females with BFI of >0.5 were significantly older (p=0.033) and had higher body mass index (BMI) (p<0.001) and were more likely to be overweight or obese (p<0.001). BFI correlated well with BMI (correlation coefficient of 0.736, p<0.001). GDM was significantly more common in females with BFI of >0.5 (24.4% versus11.3%, p=0.017). The diagnostic ability for GDM between BFI and BMI was similar (areas under receiver operating characteristic {ROC} curves of 0.641 and 0.646, respectively). Significant independent risk factors for GDM were a BFI of >0.5 and a BMI of ≥25 kg/m2 (adjusted odds ratio {OR}, 3.8; 95% confidence interval {CI}, 1.5-9.2), age of ≥30 years (adjusted OR, 2.8; 95% CI, 1.2-6.4), and family history of diabetes mellitus (DM) (adjusted OR, 4.0; 95% CI, 1.9-8.3). Females with BFI of >0.5 were significantly more likely to have GDM. The diagnostic ability of BFI and BMI for GDM was comparable. Females with BFI of >0.5 and BMI of ≥25 kg/m2 have an increased risk for GDM.

Assisted reproductive technology, risk of gestational diabetes, and perinatal outcomes in singleton pregnancies.

To evaluate the impact of assisted reproductive technology (ART) on the risk of gestational diabetes mellitus (GDM) in single pregnancies. We retrospectively collected clinical and anthropometric data of 219ART- and 256 age- and body mass index (BMI)-matched women with spontaneous conception screened for GDM. The primary outcome was to evaluate GDM prevalence in ART women. There were no differences in age, BMI, and family history of diabetes in the two groups of women. ART-women were more frequently primiparous, whereas the prevalence of previous GDM was higher in SC-women. The prevalence of GDM in thewhole cohort was 36.1% and was higher in ART-women (52.3% vs. 23.4%; p<0.0001). In the whole cohort, on multivariate analysis, family history of diabetes (OR 1.67; 95% CI: 1.03-2.69), previous GDM (OR 7.05; 95% CI: 2.92-17.04), pre-pregnancy obesity (OR 2.72; 95% CI 1.21-6.13), and ART (OR 4.14; 95% CI 2.65-6.48) were independent risk factors for GDM. Among ART-women, age over 40years was associated with GDM. Preterm delivery was more common in ART-women; gestational week at delivery, birth weight, ponderal index, and Apgar score were lower in ART-women than in SC-women, both in the whole cohort and in GDM women. Among women undergoing ART treatment, at least one in two develops GDM. ART appears to be an independent risk factor for GDM in single pregnancies, particularly above the age of 40. ART treatment seems to be associated with an increased rate of preterm delivery and lower neonatal birth weight and Apgar score, especially in GDM women. The study was not registered as it is an observational retrospective evaluation.

Aspartat aminotransferaz trombosit oranı indeksi gestasyonel diabetes mellitus öngörür mü? Retrospektif bir kohort çalışması.

Objective: Our aim was to determine the significance of aspartate aminotransferase platelet ratio index (APRI), neutrophil to lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in predicting gestational diabetes mellitus (GDM) at first trimester screening in a retrospective study of pregnant women.&#x0D; Method: In this study, a retrospective analysis of pregnant women (n=216) screened at the antenatal clinic and diagnosed with gestational diabetes between 24-28 weeks of gestation was performed. APRI score, NLR and PLR were calculated in the blood of these pregnant women in the first trimester and compared with the results of patients in the control group (n=250).&#x0D; Results: The ROC -analysis for APRI yielded an AUC value of 0.489 (p=0.684). Maternal age was found to be an independent risk factor for GDM. The risk increased 1.162-fold with increasing maternal age (p &lt; 0.001). The optimal cutoff value for NLR was 3.55, sensitivity was 65%, specificity was 49%, and the area under the ROC curve was 0.544.&#x0D; Conclusion: In the results we compared with those of the control group, we found no significant change in APRI value and PLR. However, we found that NLR has a predictive value for GDM.

Longitudinal trends in lipid profiles during pregnancy: Association with gestational diabetes mellitus and longitudinal trends in insulin indices.

To investigate the correlation of trends in lipid profiles from first to second trimester with trends in insulin indices and gestational diabetes mellitus (GDM). Secondary analysis of an ongoing prospective cohort study was conducted on 1234 pregnant women in a single center. Lipid profiles, glucose metabolism and insulin indices were collected in the first and second trimesters. Trends in lipid profiles were divided into four subgroups: low-to-low, high-to-high, high-to-low and low-to-high group. Insulin indices including homeostasis model assessment of insulin resistance and quantitative insulin sensitivity check index were calculated to evaluate insulin resistance (IR). Trends in insulin indices were described as: no IR, persistent IR, first-trimester IR alone and second-trimester IR alone. Pearson correlation analysis and multivariate logistic regression were performed to assess the associations of lipid profiles subgroups with insulin indices and GDM. First- and second-trimester total cholesterol (TC), triglycerides (TG) and high-density lipoprotein cholesterol were strongly correlated to first- and second-trimester insulin indices. Only TG had a sustained correlation with glucose metabolism indices. High-to-high low-density lipoprotein cholesterol (LDL-c) was an independent risk factor for GDM. High-to-high TG and high-to-low TG groups were independent risk factors for persistent IR. High-to-high TG and low-to-high TG groups were independent risk factors for second-trimester IR alone. TG has a sustained correlation with insulin indices and glucose metabolism indices. Persistently high TG is an independent risk factor for persistent IR and second-trimester IR alone. Regardless of whether pregnant women have first-trimester IR, lower TG levels help reduce the risk for persistent IR or subsequent development of IR. These results highlight the benefit of lowering TG levels in early and middle pregnancy to prevent the development of IR.

Reducing the risk of gestational diabetes mellitus in chronic hepatitis B virus carriers via more strict control of gestational weight gain.

To explore the association between gestational weight gain (GWG) and gestational diabetes mellitus (GDM) in hepatitis B surface antigen (HBsAg) -positive women using a retrospective cohort study to provide advice on the management of GWG. Our study included 39 539 pregnant women who gave birth at the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. Patients were divided into two groups: the HBsAg-negative and HBsAg-positive groups, comprising 36 500 and 3039 participants, respectively. We used univariate and multivariable logistic regression analyses to explore the association between GWG and GDM in maternal hepatitis B virus (HBV) carrier women. Being HBsAg positive and excessive GWG were independent risk factors for GDM. Excessive GWG was associated with a higher risk of GDM in HBsAg-positive women. Among pre-pregnancy women of normal weight, HBsAg-positive women with adequate GWG had a higher risk of GDM than HBsAg-negative women, whereas HBsAg-positive women with inadequate GWG had a lower risk of GDM. The optimal GWG ranges for pre-pregnancy normal-weight HBsAg-positive pregnancies might be lower than the US Institute of Medicine recommendations. HBsAg-positive women should strictly control GWG to reduce the risk of GDM.

The prevalence of gestational diabetes mellitus before and after the implementation of the universal two-child policy in China.

BackgroundAfter the universal two-child policy has been fully implemented, challenges regarding pregnancy complications seemed to be more severe in China. This study aimed to evaluate the prevalence of gestational diabetes mellitus (GDM) and the main risk factors for GDM before and after the implementation of the universal two-child policy in China.MethodsA retrospective study was performed with 128,270 pregnant women who delivered at Ningbo Women & Children’s Hospital from January 2010 to December 2020. Univariate and multivariate logistic regression analysis was applied to estimate the risk factors associated with GDM prevalence. Segmented regression analyses of interrupted time series (ITS) were conducted to assess the effect of the universal two-child policy on the trends of GDM.ResultsThe prevalence of GDM increased remarkably from 4% in 2010 to 21% in 2020. ITS analysis presented that the prevalence of GDM increased by 0.190% (β1) per month from 2010 to 2016 (P<0.05), and by 0.044% (β1+β3) per month after the implementation of the universal two-child policy; the rate of elevation of GDM slowed down significantly (β3=-0.146, P=0.004). Advanced maternal age (>30 years), multigravidity, multiparity, multiple gestation and gestational hypertension were significantly associated with GDM. Advanced age remained an independent risk factor for GDM even after cross stratification with gravidity and parity. The proportion of women with advanced maternal age (>30 years) increased by 0.161% per month before the implementation of the universal two-child policy and increased by 5.25% during the policy took effect month, and gradually increased by 0.124% (β1+β3) per month after then.ConclusionsThe prevalence of GDM has sharply increased in the past decade. The growth rate of GDM slowed down after the implementation of the universal two-child policy in China, but the rate would maintain at a high plateau. The rise in the proportion of older pregnant women could increase the GDM rate. We recommend having children at a relatively optimal reproductive age when encouraging childbearing.

SCD40L Is Increased and Associated with the Risk of Gestational Diabetes Mellitus in Pregnant Women with Isolated TPOAb Positivity.

Background Autoimmune disorders are associated with gestational diabetes mellitus (GDM) in pregnant women who were positive for thyroid peroxidase antibody (TPOAb). Soluble CD40 ligand (sCD40L) and soluble interleukin-2 receptor (sCD25) are abnormally expressed in autoimmune diseases and are reliable markers of inflammation. The purpose of this study was to evaluate sCD40L and sCD25 in early pregnancy and investigate their correlation with GDM and TPOAb. Methods A total of 126 pregnant women in the first trimester were enrolled for analysis: 93 were positive for TPOAb and 33 were negative for TPOAb. Demographical and clinical data in early pregnancy were collected. A total of 123 participants underwent a 75 g oral glucose tolerance test in the second trimester. Serum sCD40L and sCD25 levels were measured by ELISA. Results The incidence of GDM was 24.4% in pregnant women with isolated TPOAb positivity in our study. Both sCD40L and sCD25 were positively correlated with TPOAb (r = 0.476, P < 0.001; r = 0.188, P < 0.05). sCD40L was highest in (P < 0.001) Ab-positive women with GDM group (P < 0.05). After adjusting for TPOAb, age, TSH, FT4, triglycerides, and low-density lipoprotein cholesterol, multivariate logistic regression analysis showed that sCD40L was an independent risk factor for GDM in pregnant women with TPOAb positivity (odds ratio = 3.235, 95% confidence interval 1.024–10.218, P < 0.05). Conclusions About a quarter of pregnant women with isolated positive TPOAb might have GDM. sCD40L was an independent risk factor for GDM in women with isolated TPOAb positivity.

Early pregnancy body mass index and gestational weight gain: A mediating or moderating factor for short stature and risk of gestational diabetes mellitus?

This study examined the association between height and the risk of Gestational Diabetes Mellitus (GDM), and whether this association was mediated or moderated by early pregnancy body mass index (BMI) and gestational weight gain (GWG) that are known independent risk factors for GDM. Data of a retrospective cohort of pregnant women (N = 1,945) were extracted from antenatal clinic cards. The cut-off values of height in relation to risk of GDM were identified using receiver operating characteristic analysis and four categories of height were derived: < 150 cm, 150–155 cm, 156–160 cm, and > 160cm. Mediation analysis was performed using the Preacher and Hayes bootstrapping method while the moderation effect was tested with multiple regression analysis with interaction terms. Although there was no mediation effect of BMI and GWG on the association between height and risk of GDM, both factors moderated this association with a significant association between shorter height and risk of GDM was observed in overweight / obese women (height < 150 cm: AOR = 1.41, 95% CI = 1.03–2.44; height 156–160 cm: AOR = 1.48, 95% CI = 1.03–2.14). Overweight / obese women with height < 150 cm and excessive GWG at the end of the second trimester (AOR = 2.25, 95% CI = 1.45–4.17) had significantly higher risk of GDM than those without these factors. Short stature (< 150 cm) was significantly associated with GDM risk among OW/OB women with excessive gestational weight gain at the end of second trimester. This finding underscores the importance of maintaining a healthy BMI during reproductive age and gaining weight in recommended range during pregnancy.

The interactive effects of pre-pregnancy body mass index, thyroid function, and blood lipid levels on the risk of gestational diabetes mellitus: a crossover analysis

BackgroundStudies have demonstrated the associations between pre-pregnancy obesity, thyroid dysfunction, dyslipidemia, and increased risk of gestational diabetes mellitus (GDM) in pregnant women. This study was designed to investigate whether and to what extent, the interactions between these factors contribute to the risk of GDM.MethodsA case–control study of 232 GDM cases and 696 controls was conducted among pregnant women from Hangzhou, China. Multiple logistic regression analysis was applied to identify independent risk factors of GDM. Crossover analysis was performed to assess the interactive effects of pre-pregnancy body mass index (pBMI), thyroid hormones, and blood lipid profiles on the risk of GDM. The indexes including attributable proportion (AP) to the interaction and the relative excess risk due to interaction (RERI) were calculated.ResultsChinese pregnant women with pBMI > 23 kg/m2 (adjusted: OR = 4.162, p < 0.001), high triglyceride levels (> 2.30 mmol/L) (adjusted: OR = 1.735, p < 0.001), and the free triiodothyronine/free thyroxine (FT3/FT4) ratio ≥ 0.502 (OR = 4.162, p < 0.001) have significantly increased risk of GDM. Crossover analysis indicated that there were significant interactions between pre-pregnancy overweight/obesity and FT3/FT4 ≥ 0.502 (AP = 0.550, p < 0.001; RERI = 7.586, p = 0.009), high TG levels and FT3/FT4 ≥ 0.502 (AP = 0.348, 95%CI = 0.081–0.614, P = 0.010; RERI = 2.021, 95%CI = 0.064–3.978, p = 0.043) on the risk of GDM.ConclusionThe interactions between pBMI and FT3/FT4 ratio, TG level and FT3/FT4 ratio may have significant impacts on the risk of GDM in pregnant women. Such findings may help improve our understanding of the pathogenesis of GDM as well as develop comprehensive strategies for the management of GDM.

Excessive gestational weight gain is an independent risk factor for gestational diabetes mellitus in singleton pregnancies: Results from a French cohort study

ObjectiveIncrease in prevalence of maternal obesity worldwide raises concern among health professionals. Our purpose was to evaluate the impact of maternal obesity and of excessive gestational weight gain (GWG) on the course of singleton pregnancies in a French maternity ward. Study design3599 consecutive women who delivered from April 2013 to May 2015 at Brest University Hospital were included in HPP-IPF cohort study, a study designed to evaluate clinical and biological determinants of postpartum hemorrhage (PPH). Maternal obesity was defined by a pre-pregnancy Body Mass Index (BMI) ≥ 30 kg/m2 and excessive GWG was defined according to the Institute of Medicine 2009 guidelines. Obstetric complications(including gestational diabetes mellitus (GDM), gestational hypertension, pre-eclampsia, venous thromboembolism, PPH, cesarean section (C-section) and macrosomia) were collected prospectively in a standardized case report form. For each complication, Odd Ratios (OR) according to pre-pregnancy BMI and GWG were calculated in univariable and multivariable analyses. ResultsOut of the 3162 women analyzed for this report, 583 (18.4%) were overweight, 400 (12.7%) were obese and 36.6% had excessive GWG. In multivariable analysis, after adjustment for confounding factors, obese women were at increased risk of GDM (OR 5.83, 95%CI 4.37–7.79), PPH (OR 1.69, 95%CI 1.19–2.41), C-section (OR 2.50, 95%CI 1.92–3.26) and macrosomia (OR 1.90, 95%CI 1.31–2.76). Similarly, women with excessive GWG were at increased risk of GDM (OR 1.55, 95%CI 1.17–2.06), C-section (OR 1.46, 95%CI 1.16–1.83) and macrosomia (OR 2.09, 95%CI 1.50–2.91). ConclusionsMaternal obesity and excessive GWG are independent risk factors for GDM, C-section and macrosomia in singleton pregnancies. Further studies are needed to evaluate if a lifestyle intervention aiming at avoiding excessive GWG could improve clinical outcomes in pregnant women.

1046-P: Role of Serum C1q/TNF-Related Protein 9 in Predicting Gestational Diabetes Mellitus

Background/Aims: C1q/TNF-related protein 9 (CTRP9) as a member of CTRP super family, participates in the regulation of glycolipid metabolism. However information regarding the role of CTRP9 in gestational diabetes mellitus (GDM) is scarce. The current study aims to ascertain the relationship between serum CTRP9 levels and GDM. Methods: A total of 35 GDM patients and 37 normal pregnant women were enrolled in our study. Serum CTRP9 levels were measured via enzyme-linked immunosorbent assay (ELISA) . Fasting insulin (FINS) , IL-6, Leptin, MCP-1, TNF-α and IL-1β were quantified using Luminex-xMAP technology. Anthropometric data and biochemical parameters were also obtained or measured. Results: The results showed that fasting plasma glucose (FPG) , one hour plasma glucose (1-h PG) , 2 hour plasma glucose (2-h PG) , FINS, IL-6, Leptin, TNF-α and CTRP9 during GDM group were significantly higher than the control group. In addition, serum CTRP9 levels had a significantly positive correlation with FPG (r = 0.559, P &amp;lt; 0.001) , 1h-PG (r = 0.539, P &amp;lt;0.0) , 2h-PG (r = 0.378, P = 0.001) , FINS (r = 0.253, P = 0.032) , HOMA-IR (r = 0.382, P = 0.001) , IL-6 (r = 0.283, P = 0.016) , and TNF-α (r = 0.266, P = 0.024) . Furthermore, binary logistic regression demonstrated that HOMA-IR and CTRP9 were independent risk factors for GDM. The AUC-ROC indicated that the diagnostic efficiency of combined CTRP9 and HOMA-IR was much higher than a single index. Conclusions: The high level of serum CTRP9 is an independent risk factor for GDM. Moreover, the combination of serum CTRP9 and HOMA-IR were more efficient in diagnosing GDM. Key words: Gestational diabetes mellitus, CTRP9, insulin resistance Disclosure H. Zhang: None.