scholarly journals Blastocyst Transfer: A risk Factor for Gestational Diabetes Mellitus in Women undergoing in vitro Fertilization

2021 ◽  
Author(s):  
Huijun Chen ◽  
Jian Li ◽  
Sufen Cai ◽  
Sha Tang ◽  
Suimin Zeng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Risk Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
High Density Lipoprotein ◽  
Embryo Transfer ◽  
Density Lipoprotein ◽  
Blastocyst Transfer ◽  
Day 3 Embryo

Abstract Background The risk of developing gestational diabetes mellitus (GDM) is higher in women undergoing assisted reproductive treatment than in women conceiving spontaneously. Objectives To determine whether the GDM risk after day-3 embryo transfer differs from the GDM risk after day-5 blastocyst transfer. Methods Prospective observational study in women becoming pregnant after first fresh embryo or blastocyst transfer. Results 1579 women got pregnant and had life birth. 1300 women got day three embryo transfer only, whereas 279 women received at least one blastocyst. 252 out of the 1579 women developed GDM. Age, body mass index, baseline estradiol, baseline high-density lipoprotein, and progesterone on the day of hCG injection were not different in women receiving day three embryos only versus women receiving at least one blastocyst. The number and quality of retrieved oocytes were not different in women receiving day 3 embryo transfer (ET) from those receiving blastocysts. Our study confirmed already established GDM risk factors such as age and body mass index, baseline estradiol and high-density lipoprotein, as well as progesterone after ovarian stimulation. We could furthermore demonstrate that the GDM incidence in women receiving day five blastocyst transfer was significantly higher than those who received day three embryo transfer (21.15% vs. 14.85%, P=.009). Considering confounding factors, we likewise saw that blastocyst transfer was an independent procedure-related GDM risk factor (P = 0.009, Exp (B): 1.56, 95% CI: 1.12-2.18). Conclusion Blastocyst transfer after IVF/ICSI increases the risk of developing GDM.

scholarly journals The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Chen Wang ◽  
Weiwei Zhu ◽  
Yumei Wei ◽  
Rina Su ◽  
Hui Feng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
High Density Lipoprotein ◽  
Early Pregnancy ◽  
Fasting Glucose ◽  
Density Lipoprotein ◽  
Lipid Profiles ◽  
Lipoprotein Cholesterol

This study aimed at evaluating the predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus (GDM) in patients stratified by prepregnancy body mass index (p-BMI) and to determine the optimal cut-off values of each indicator for different p-BMI ranges. A retrospective system cluster sampling survey was conducted in Beijing during 2013 and a total of 5,265 singleton pregnancies without prepregnancy diabetes were included. The information for each participant was collected individually using questionnaires and medical records. Logistic regression analysis and receiver operator characteristics analysis were used in the analysis. Outcomes showed that potential markers for the prediction of GDM include early pregnancy lipid profiles (cholesterol, triacylglycerols, low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratios [LDL-C/HDL-C], and triglyceride to high-density lipoprotein cholesterol ratios [TG/HDL-C]) and fasting glucose, of which fasting glucose level was the most accurate indicator. Furthermore, the predictive effects and cut-off values for these factors varied according to p-BMI. Thus, p-BMI should be a consideration for the risk assessment of pregnant patients for GDM development.

scholarly journals Epicardial adipose tissue thickness as a predictor of gestational diabetes mellitus: a prospective cohort study

2019 ◽  
Author(s):  
Jing Liu ◽  
Guang Song ◽  
Tao Meng ◽  
Ge Zhao
Keyword(s):  
Diabetes Mellitus ◽  
Adipose Tissue ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
High Density Lipoprotein ◽  
Area Under Curve ◽  
Roc Analysis ◽  
Epicardial Adipose Tissue ◽  
Density Lipoprotein ◽  
Adverse Outcomes

Abstract BackgroundGestational diabetes mellitus (GDM), the most common metabolic disorder of pregnancy, is a long term risk of comorbidities for maternal and neonatal. The study aimed to assess the association between the echocardiographic epicardial adipose tissue (EAT) and the risk for gestational diabetes mellitus (GDM) in the early second trimester.MethodsSingleton pregnancies were enrolled in this study between September 2017 and January 2019 during their 16–20 gestational week. Odds ratio (OR) and 95% confidence intervals (CIs) of individual maternal factors as potential predictors for GDM were calculated using generalized linear models. The receiver-operating-characteristic (ROC) analysis was conducted to assess the discriminative capacity of any individual maternal factor in predicting GDM.Results69 GDM and 420 normal women were included in the main analysis. Multivariate regression analysis revealed that EAT thickness (OR = 1.96, 95%CI: 1.50–2.55) and high-density lipoprotein cholesterol (OR = 0.21, 95%CI: 0.05–0.84) were associated with the presence of GDM (P < 0.05). Meanwhile, EAT thickness was associated with adverse outcomes (including large for gestational age, neonatal hypoglycemia, admission to neonatal intensive care unit, preterm delivery, and hyperbilirubinemia) in the GDM group (P < 0.05). ROC analysis revealed that the area under curve was 0.698 and the cutoff value is 6.77mm only using EAT thickness. After added high-density lipoprotein cholesterol into the analysis, the area under curve was increase into 0.713.ConclusionsEchocardiographic EAT thickness is positively and significantly associated with GDM risk and adverse outcomes related to GDM. Echocardiographic EAT is a simple method to predict the development of GDM prior to actual clinical diagnosis. This method provides a new early window of opportunity to implement primary prevention strategies to prevent GDM and reduce the related adverse maternal and perinatal outcomes.

Thyroid function in pregnant women; relation to Gestational Diabetes Mellitus (GDM) and Body Mass Index (BMI)

2018 ◽  
Author(s):  
George Simeakis ◽  
Evangelia Vogiatzi ◽  
Panagiota Konstantakou ◽  
Evangelia Zapanti ◽  
Katerina Saltiki ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Body Mass ◽  
Thyroid Function
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