Predictive factors of gestational diabetes in pregnancies following assisted reproductive technology: a nested case-control study

Prevalence and risk factors of gestational diabetes mellitus among pregnant women in northern Vietnam: a cross-sectional study

BACKGROUND

Gestational diabetes mellitus (GDM) increases adverse neonatal and maternal outcomes. Understanding the prevalence and risk factors of GDM is necessary to plan health care interventions and policy.

OBJECTIVE

To determine the prevalence and risk factors of GDM in Thai Binh, Vietnam.

METHODS

A cross-sectional study was conducted in two health facilities in Thai Binh, Vietnam, with the participation of 1,106 pregnant women. Women were recruited at their first antenatal care visit where face-to-face interviews about socioeconomic and reproductive factors were performed. A 2-hour 75 g oral glucose tolerance test was conducted at 24-28 weeks of gestation. GDM was diagnosed according to the World Health Organization 2013 criteria. Logistic regression analyses were used to assess the factors associated with GDM.

RESULTS

The prevalence rate of GDM was 27.1%. Multivariate logistic regression analysis showed maternal age from 25 to 34 (adjusted OR 2.0; 95%CI 1.3-2.9), maternal age ≥ 35 (adjusted OR 3.0; 95%CI 1.7-5.4), pregestational body mass index ≥ 23 (adjusted OR 1.6; 95%CI 1.1-2.3), family history of diabetes (adjusted OR 1.9; 95%CI 1.3-2.9), fertility treatment (adjusted OR 2.3; 95%CI 1.3-3.8), and previous GDM (adjusted OR 3.1; 95%CI 1.4-6.9) were associated with increased odds of GDM.

CONCLUSIONS

More than one-fourth of pregnant women in Thai Binh, Vietnam, may have GDM. Advanced maternal age, high pregestational body mass index, family history of diabetes, and previous GDM were associated with increased risk of GDM. Additionally, fertility treatment appears to be strongly associated with an increased risk of GDM.

Metabolic profiling and early prediction models for gestational diabetes mellitus in PCOS and non-PCOS pregnant women

BACKGROUND

Gestational diabetes mellitus (GDM) is the most common pregnancy complication, significantly affecting maternal and neonatal health. Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by metabolic abnormalities, which notably elevates the risk of developing GDM during pregnancy.

METHODS

In this study, we utilized ultra-high-performance liquid chromatography for untargeted metabolomics analysis of serum samples from 137 pregnant women in the early-to-mid-pregnancy. The cohort consisted of 137 participants, including 70 in the PCOS group (36 who developed GDM in mid-to-late pregnancy and 34 who did not) and 67 in the non-PCOS group (37 who developed GDM and 30 who remained GDM-free). The aim was to investigate metabolic profile differences between PCOS and non-PCOS patients and to construct early GDM prediction models separately for the PCOS and non-PCOS groups.

RESULTS

Our findings revealed significant differences in the metabolic profiles of PCOS patients, which may help elucidate the higher risk of GDM in the PCOS population. Moreover, tailored early GDM prediction models for the PCOS group demonstrated high predictive performance, providing strong support for early diagnosis and intervention in clinical practice.

CONCLUSIONS

Untargeted metabolomics analysis revealed distinct metabolic patterns between PCOS patients and non-PCOS patients, particularly in pathways related to GDM. Based on these findings, we successfully constructed GDM prediction models for both PCOS and non-PCOS groups, offering a promising tool for clinical management and early intervention in high-risk populations.

Interacting and joint effects of assisted reproductive technology and gestational diabetes mellitus on preterm birth and the mediating role of gestational diabetes mellitus: a cohort study using a propensity score

OBJECTIVE

To investigate whether gestational diabetes mellitus (GDM) mediates the association between assisted reproductive technology (ART) and preterm birth (PTB), and to examine the interaction and joint effects of ART and GDM on PTB.

METHODS

This retrospective cohort study utilized data from 20,721 mothers with singleton live births at Sichuan Jinxin Xinan Women and Children's Hospital from January 2020 to December 2023. The exposures were ART and GDM, and the outcome was PTB. Multivariate logistic regression assessed the separate associations of ART and GDM with PTB. Mediation, interaction, and joint effects were analyzed using R software.

RESULTS

1,053 (5.08%) women experienced PTB. ART (OR 1.60; 95% CI 1.27-2.03) and GDM (OR 1.51; 95% CI 1.19-1.92) were both associated with increased PTB risk. GDM partially mediated the ART-PTB relationship (PM 2.72%; 95%CI 0.47%-8.86%). No additive interaction was found between GDM and ART for PTB in the general population. However, a significant additive interaction was observed in women aged ≥ 35 years (RERI 1.22; 95%CI 0.27-2.39). Compared to the spontaneous conception (SC)-non-GDM group, the SC-GDM (OR 1.56; 95%CI 1.07-2.29), ART-non-GDM (OR 1.63; 95%CI 1.22-2.18), and ART-GDM (OR 2.42; 95%CI 1.74-3.37) groups had higher PTB risk.

CONCLUSIONS

ART was associated with higher PTB risk, partially mediated by GDM. Women undergoing ART who develop GDM may face greater PTB risk than those exposed to only one factor, with a synergistic effect in older pregnancies.

Gestational diabetes mellitus in pregnancies conceived after infertility treatment: a population-based study in the United States, 2015-2020

Objective

To evaluate the risk of gestational diabetes mellitus (GDM) in singleton pregnancies conceived using infertility treatment and examine the influence of race and ethnicity as well as prepregnancy body mass index (BMI).

Design

Cross-sectional study using the US vital records data of women that delivered singleton births.

Setting

United States, 2015-2020.

Interventions

Any infertility treatment was divided into two groups: those that used fertility-enhancing drugs, artificial insemination, or intrauterine insemination, and those that used assisted reproductive technology (ART).

Main Outcome Measuress

Gestational diabetes mellitus, defined as a diagnosis of diabetes mellitus during pregnancy, includes both diet-controlled GDM and medication-controlled GDM in singleton pregnancies conceived with infertility treatment or spontaneously and delivered between 20- and 44-weeks' gestation. We also examined whether the infertility treatment-GDM association was modified by maternal race and ethnicity as well as prepregnancy BMI. Associations were expressed as a rate ratio (RR) and 95% confidence interval (CI), derived from log-linear models after adjustment for potential confounders.

Results

A total of 21,943,384 singleton births were included, with 1.5% (n = 318,086) undergoing infertility treatment. Rates of GDM among women undergoing infertility treatment and those who conceived spontaneously were 11.0% (n = 34,946) and 6.5% (n = 1,398,613), respectively (adjusted RR 1.24, 95% CI 1.23, 1.26). The RRs were adjusted for maternal age, parity, education, race and ethnicity, smoking, BMI, chronic hypertension, and year of delivery. The risk of GDM was modestly increased for those using fertility-enhancing drugs (adjusted RR 1.28, 95% CI 1.27, 1.30) compared with ART (adjusted RR 1.18, 95% CI 1.17, 1.20), and this risk was especially apparent for non-Hispanic White women (adjusted RR 1.29, 95% CI 1.26, 1.31) and Hispanic women (adjusted RR 1.35, 95% CI 1.29, 1.41). The number of women who needed to be exposed to infertility treatment to diagnose one case of GDM was 46. Prepregnancy BMI did not modify the infertility treatment-GDM association overall and within strata of race and ethnicity. These general patterns were stronger after potential corrections for misclassification of infertility treatment and unmeasured confounding.

Conclusions

Infertility treatment, among those who received fertility-enhancing drugs, is associated with an increased GDM risk. The persistently higher risk of GDM among women who seek infertility treatment, irrespective of prepregnancy weight classification, deserves attention. Infertility specialists must be vigilant with preconception counseling and ensure that all patients, regardless of race and ethnicity or BMI, are adequately tested for GDM early in pregnancy using a fasting blood glucose level or a traditional 50-g oral glucose tolerance test. Testing may be completed by the infertility specialist or deferred to the primary prenatal care provider at the first prenatal visit.

Gestational Diabetes Mellitus in the Setting of Polycystic Ovarian Syndrome: A Systematic Review

Gestational diabetes mellitus (GDM) is the most common complication of pregnancy that arises in the 2nd and 3rd trimesters, leading to significant complications for the mother and her neonates, such as an increased rate of pregnancy-induced hypertension and miscarriages, while neonates may have a large birth weight, hypoglycemia, or macrosomnia. Numerous risk factors can lead to GDM; however, a significant one is polycystic ovarian syndrome (PCOS). PCOS is the most common endocrine pathology beginning before puberty, and due to significant hormonal changes, it is not diagnosed until after puberty. PCOS requires at least three of the following symptoms: hyperandrogenism, menstrual irregularities, or polycystic ovary morphology. While it is agreed that women with PCOS are at a significantly increased risk of GDM, no publication to our knowledge has evaluated the full relationship of GDM in the setting of PCOS. This paper aimed to assess this relationship and determine how it may differ for pregnant women with only GDM by determining the prevalence of GDM, the variations within phenotypes, the influence of fertilization methods, specific risk factors, maternal outcomes, and neonatal outcomes. The prevalence of GDM was significantly increased in women with PCOS compared to healthy controls, and some studies have found that phenotype A may be more likely to lead to GDM. Risk factors were similar to pregnant women with only GDM, but with GDM and PCOS specifically, preconception low sex hormone-binding globulin, increased BMI > 25 kg/m2, and preconception impaired glucose tolerance were specific. While maternal outcomes were similar to pregnant women with only GDM, women with GDM and PCOS were even more likely to develop pregnancy-induced hypertension and early miscarriage. Neonates from mothers with GDM and PCOS were more likely to have low birth weights compared to mothers with just GDM who had high birth weights. The evaluation of the relationship between GDM and PCOS allows for illumination of the need to evaluate influences that currently lack research, such as phenotype variation and influences of fertilization method. This also promotes the need to develop predictive algorithms based on risk factors to prevent these adverse outcomes for mothers and neonates.

Gestational diabetes prevalence and outcomes in women undergoing assisted reproductive techniques (ART)

Infertility affects millions worldwide and use of assisted reproductive techniques (ART) is in high demand.

AIMS

To investigate whether women that underwent ART at our hospital had a higher incidence of GDM than women who conceived spontaneously, if the ART subtype affects the GDM rate and to study obstetrical outcomes in women with GDM in both groups.

METHODS

This was a retrospective analysis of prospectively collected data of singleton pregnancies attended at Hospital Universitari Dexeus between 2008 and 2019. Age<18 years, pregestational diabetes, metformin prior to pregnancy and multiple pregnancies were excluded.

RESULTS

A total of 29,529 patients were included. Pregnancy was achieved by ART in 2596 (8.8%): in vitro fertilisation (IVF/ICSI) 32.8%, frozen embryo transfer (FET) 37.7%, oocyte donor receptors (ODR) 17.2% and insemination 12.2%. The GDM rate was 8.9% (12.7% in ART vs 8.5% in non-ART, p<0.001). The GDM was 11.2% in IVF/ICSI, 17.7% in ODR, 13% in FET and 9.1% in the insemination group (p=0.001). In a multivariable analysis adjusting for age, parity and BMI, ART was not associated with GDM [OR 1.03 (0.90-1.19)], nor was type of ART. Pregnancy outcomes in GDM patients were similar in both groups except for C-section rates (30.0% in ART vs 15.9% in non-ART (p<0.001).

CONCLUSIONS

Despite a higher prevalence of GDM in ART pregnancies, ART was not associated with an increased risk of GDM when adjusting for age, parity and BMI. The prognosis of GDM in ART and non-ART was similar except for C-section rates.

Is the Occurrence of Gestational Diabetes Mellitus in Pregnancies Higher Following In Vitro Fertilization Treatment? Why? A Retrospective Cohort Study

Purpose: This study aim to determine the occurrence of gestational diabetes mellitus (GDM) in pregnancies after IVF treatment and to evaluate the factors that reduce this risk. Methods: This retrospective cohort study was conducted using the medical records of pregnant women who conceived following IVF at the in-vitro fertilization center between 2002–2019. The data were obtained from medical records and phone interviews. Univariate and multivariate logistic regression analyses were performed. Results: The incidence of GDM was found to be 16.7%. The regression model indicated that the risk of GDM was 4.57 times higher in the age group 36–40 at conception during the IVF cycle than the age group 31–35 (95% CI = 1.18–17.73, p = .028). Furthermore, women who conceived after the second IVF trial had a risk of GDM 3.464 times higher than those that conceived after their first IVF trial (95% CI = 1.07–11.23, p= .038). Conclusion: As age and number of IVF trials increase in infertile women, the risk of GDM increases after IVF treatment.

Effects of gestational diabetes mellitus and assisted reproductive technology treatment on the risk of preterm singleton birth

Background

Although assisted reproductive technology (ART) plays a critical role in reducing infertility, ART pregnant women are reported at higher risk of preterm birth (PTB). Besides, women undergoing ART encounter a higher risk of developing gestational diabetes mellitus (GDM). However, existing studies on the combined effect of ART treatment and GDM on PTB risk are sparse.

Methods

This population-based retrospective cohort study used nationwide birth certificate data from the US National Vital Statistics System 2015-2019. All mothers who had a singleton live birth without pre-pregnancy diabetes were included. Multivariable logistic regression models were used to estimate the odds ratio (OR) of PTB.

Results

We finally included 18,140,241 American mother-infant pairs. The overall rate of PTB was 7.92% (n = 1,436,328). The PTB rate for non-ART mothers without GDM, ART mothers without GDM, non-ART mothers with GDM, and ART mothers with GDM were 7.67, 10.90, 11.23, and 14.81%, respectively. The incidence of GDM in ART mothers (10.48%) was significantly higher than in non-ART mothers (6.26%). After adjusting for potential confounders, compared with non-ART mothers without GDM, the PTB risk was significantly increased for ART mothers without GDM (AOR: 1.47, 95% CI 1.44-1.50), non-ART mothers with GDM (AOR:1.35, 95% CI 1.34-1.36) and ART mothers with GDM (AOR: 1.82, 95% CI 1.74-1.90) respectively, showing an increasing tendency. This phenomenon was stable among mothers in all groups of mothers older than 25 years.

Conclusion

To prevent PTB, effective approaches for the prevention of GDM are crucial to mothers who conceived through ART.

Adverse Effects of Polycystic Ovarian Syndrome on Pregnancy Outcomes in Women With Frozen-Thawed Embryo Transfer: Propensity Score-Matched Study

PURPOSE

This work aimed to evaluate the adverse effect of polycystic ovary syndrome (PCOS) on pregnancy outcomes of singletons after vitrification in women with frozen-thawed embryo transfer (FET).

METHODS

Patients with/without PCOS who underwent FET from January 2013 and December 2018 were included. Propensity score matching (PSM) was used to reduce the influence of bias. Logistic regression was applied to identify the risk factors of adverse pregnancy outcomes of singletons in women with PCOS.

RESULT

After PSM, the PCOS group had shorter gestational age (P<0.001) and lower newborn birth weight than the non-PCOS group (P=0.045). Compared with the non-PCOS group, the PCOS group had an increased risk of gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) (P<0.001), placenta and membrane abnormality (P<0.001), stillbirth (P<0.001), neonatal complication (P=0.014), and miscarriage rate (P<0.001). Neonatal complication was associated with parity (adjusted OR=1.202, 95% CI=1.002-1.443, P=0.048) and basal P level (adjusted OR=1.211, 95% CI=1.021-1.436, P=0.028). According to multivariable logistic regression analysis, the miscarriage rate was related to parity (adjusted OR=1.201, 95% CI=1.057-1.166, P=0.005) and basal E2 (adjusted OR=1.002, 95% CI=1.000-1.004, P=0.019) and P levels on the day of embryo transfer (adjusted OR=0.971, 95% CI=0.957-0.985, P<0.001).

CONCLUSIONS

Compared with non-PCOS women, women with PCOS have a higher risk of GDM and PIH, and neonatal complications and therefore require additional care during pregnancy and parturition.

Gestational diabetes mellitus in in-vitro fertilization pregnancies - Clinical and placental histological characteristics

INTRODUCTION

We aimed to investigate obstetric and neonatal outcomes and placental histological findings in in vitro fertilization (IVF) pregnancies complicated by gestational diabetes mellitus (GDM) as compared to unassisted pregnancies.

METHODS

This was a retrospective cohort of deliveries at a single university affiliated center between 12/2008 and 01/2020. Included were singleton pregnancies complicated by GDM, for which placental histopathological examination was performed. Obstetric, neonatal and placental outcomes were compared between pregnancies following IVF and unassisted pregnancies. Placental lesions were categorized according to the "Amsterdam" criteria.

RESULTS

Included were 688 deliveries with a diagnosis of GDM with placental examination - 69 IVF pregnancies (IVF group) and 619 unassisted pregnancies (control group). The IVF group was characterized by a significantly higher maternal age and higher rate of nulliparous women - 60.8% vs. 32.9%, p < 0.001. There were no differences in GDM type between the study groups - about two thirds of cases were GDMA1 and on third GDMA2. A higher incidence of preeclampsia was noted in the IVF group - 17.3% vs. 9.3%, p = 0.03, with no difference in cesarean deliveries and birthweight. IVF deliveries were characterized by a significantly higher rate of adverse neonatal outcomes - 18.8% vs. 8.8%, p = 0.008, although this did not attain significance after adjustment to gestational age. No differences were noted in placental histology between the groups.

DISCUSSION

GDM in IVF is associated with a significantly higher rate of adverse neonatal outcomes, as compared with non-assisted pregnancies complicated by GDM. Placental histology does not shed light on these clinical associations.

The Role of HIV Infection in the Pathophysiology of Gestational Diabetes Mellitus and Hypertensive Disorders of Pregnancy

Purpose of the Review: The main objective of this study is to investigate mechanisms associated with gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) in HIV infected pregnant women by looking how placental hormones such as (progesterone and prolactin) and basic haemostatic parameters are regulated in HIV infected pregnancies.

Recent Findings: HIV/AIDS are a major global obstetric health burden that lead to increased rate of morbidity and mortality. HIV/AIDS has been associated with the pathophysiology of GDM and HDP. Increased risk of GDM due to highly active antiretroviral therapy (HAART) usage has been reported in HIV infected pregnancies, which causes insulin resistance in both pregnant and non-pregnant individuals. HAART is a medication used for lowering maternal antepartum viral load and pre-exposure and post-exposure prophylaxis of the infant. In pregnant women, HAART induces diabetogenic effect by causing dysregulation of placental hormones such as (progesterone and prolactin) and predispose HIV infected women to GDM. In addition to HIV/AIDS and GDM, Studies have indicated that HIV infection causes haemostatic abnormalities such as hematological disorder, deregulated haematopoiesis process and the coagulation process which results in HDP.

Summary: This study will help on improving therapeutic management and understanding of the pathophysiology of GDM and HDP in the absence as well as in the presence of HIV infection by reviewing studies reporting on these mechanism.

Association between thyroid function and risk of gestational diabetes mellitus in assisted pregnancies: A retrospective cohort study

AIMS

To explore the association between thyroid function and gestational diabetes mellitus (GDM) risk in assisted pregnancies.

METHODS

We screened 57,386 pregnant women treated from February 2013 to October 2017, and 2211 patients were retrospectively enrolled, and their data were analyzed based on quintile groups constituted based on serum thyroid-stimulating hormone (TSH), free thyroxine (FT4), and thyroid peroxidase antibody (TPOAb) levels. Odds ratios (ORs) of GDM were analyzed by multivariate logistic regression, adjusted for maternal age and pre-pregnancy body mass index (BMI).

RESULTS

The prevalence rate of GDM was 20.1%. Lower FT4 levels were associated with an increased risk of GDM (ORQ2 = 1.512, 95% confidence interval [CI] 1.073-2.132, p = 0.018; ORQ1 = 1.620, 95% CI 1.161-2.261, p = 0.005), but this association disappeared after adjustments. TPOAb+ titer was associated with an increased risk of GDM (aOR = 1.472, 95% CI 1.068-2.028, p = 0.018). Higher TSH (aORQ5 = 2.882, 95% CI 1.919-6.975, p = 0.019) or lower FT4 (aORQ1 = 3.156, 95% CI 1.088-9.115, p = 0.034) levels were associated with an increased risk of GDM in assisted pregnancies for TPOAb+ patients.

CONCLUSION

TPOAb+ is an independent risk factor for GDM in patients with assisted pregnancies. Higher TSH or lower FT4 levels, with TPOAb+ detection, are risk factors for GDM in assisted pregnancies.

Assisted conception as a potential prognostic factor predicting insulin therapy in pregnancies complicated by gestational diabetes mellitus

BACKGROUND

Advanced maternal age, family history of diabetes, pre-gestational obesity, increased level of HbA1c, history of gestational diabetes mellitus (GDM), and poor pregnancy consequences are considered risk factors for antenatal insulin requirement in women with GDM. However, the role of assisted reproductive technology (ART) in increasing the risk of insulin therapy in pregnancies complicated with GDM remained elusive. The current study aimed to determine the role of ART in predicting insulin therapy in GDM women and investigate the clinical and biochemical factors predicting the need for insulin therapy in pregnancies complicated with GDM.

METHODS

In this prospective cohort study, 236 Iranian women with GDM were diagnosed by one-step oral glucose tolerance test (OGTT) between October 2014 and June 2017. They were mainly assigned to two groups; the first group (n = 100) was designated as ART which was further subdivided into two subgroups as follows: 60 participants who received medical nutrition therapy (MNT) and 40 participants who received MNT plus insulin therapy (MNT-IT). The second group (n = 136) was labeled as the spontaneous conception (SC), consisting of 102 participants receiving MNT and 34 participants receiving MNT in combination with IT (MNT-IT). The demographic, clinical, and biochemical data were compared between groups. Multivariate logistic regression was performed to estimate prognostic factors for insulin therapy.

RESULTS

A higher rate of insulin therapy was observed in the ART group as compared with the SC group (40% vs. 25%; P < 0.001). Multivariate logistic regression demonstrated that maternal age ≥ 35 years [OR: 2.91, 95% CI: (1.28-6.62)], high serum FBS [1.10: (1.04-1.16)], HbA1c [1.91 (1.09-3.34)], and ART treatment [2.94: (1.24-6.96)] were independent risk factors for insulin therapy in GDM women.

CONCLUSIONS

Apart from risk factors mentioned earlier, ART may be a possible prognostic factor for insulin therapy in pregnancies complicated with GDM.

Analysis of big data for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive features

PURPOSE

High rate of preterm birth (birth before 37 weeks of gestation) in the world, its negative outcomes for pregnant women and newborns necessitate to predict preterm birth and identify its main risk factors. Premature deliveries have been divided into provider-initiated (with medical intervention for early terminating the pregnancy) and spontaneous preterm birth (without any intervention) categories in the previous studies. The main aim of this study is proposing methods for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive features.

METHODS

Data from national databank of Maternal and neonatal records (IMAN registry) is used in the study. The collected data have information about more than 1,400,000 deliveries with 112 features. Among them, 116,080 preterm births have occurred (from which 11,799 and 104,281 cases belong to provider-initiated preterm birth and spontaneous premature delivery, respectively). The data can be considered as big data due to its large number of data records, large number of the features and unbalanced distribution of the data between three classes of term, provider-initiated and spontaneous preterm birth. Therefore, we need to analyze data based on big data algorithms. In this paper, Map Reduce-based machine learning algorithms named MR-PB-PFS are proposed for this purpose. Map phase use parallel feature selection and classification methods to score the features. Reduce phase aggregates the feature scores obtained in Map phase and assign final scores to the features. Moreover, the classifiers trained in Map phase are aggregated based on two different ensemble rules in Reduce phase.

RESULTS

Experimental results show that the best performance of the proposed models for preterm birth prediction is accuracy of 81% and the area under the receiver operating characteristic curve (AUC) of 68%. Top features for predicting term, provider-initiated preterm and spontaneous premature birth identified in this study are having pregnancy risk factors, having gestational diabetes, having cardiovascular disease, maternal underlying diseases, and mother age. Chronic blood pressure is a high rank feature for preterm birth prediction and father nationality is highly important for discriminating provider-initiated from spontaneous premature delivery.

CONCLUSIONS

Identifying the pregnant women with high risk of spontaneous premature or therapeutic preterm delivery in our proposed model can help them to: (1) reduce the probability of premature birth with monitoring and management of the main risk factors and/or (2) educate them to care from the premature newborn. Management and monitoring top features discriminating term, provider-initiated preterm and spontaneous premature birth or their associated factors can reduce preterm labor or its negative outcomes.

Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology

Background

The aim of the present study was to determine the maternal pre-pregnancy body mass index (BMI), first-trimester fasting blood sugar (FBS), and the combination of (BMI+FBS) cut-points for at-risk pregnant women conceived by assisted reproductive technology (ART) to better predict the risk of developing gestational diabetes mellitus (GDM) in infertile women.

Materials and Methods

In this nested case-control study, 270 singleton pregnant women consisted of 135 (GDM) and 135 (non-GDM) who conceived using ART were assessed. The diagnosis of GDM was confirmed by a one-step glucose tolerance test (O-GTT) using 75 g oral glucose. BMI was classified base on World Health Organization (WHO) criteria. The relationship between BMI, FBS, and BMI+FBS with the risk of GDM development was determined by logistic regression and adjusted for confounding factors. Receiver operating characteristic (ROC) curve analysis was performed to assess the value of BMI, FBS, and BMI+FBS for the prediction of GDM.

Results

The GDM group had significantly higher age, BMI, family history of diabetes, and history of polycystic ovary syndrome in comparison with the non-GDM group (P<0.05). Overweight and obese women had 3.27, and 5.14 folds increase in the odds of developing GDM, respectively. There was a 17% increase in the risk of developing GDM with each 1 mg/dl increase in fasting glucose level. The cut points for FBS 84.5 mg/dl (72.9% sensitivity, 74.4% specificity), BMI 25.4 kg/m² (68.9% sensitivity, 62.8% specificity), and BMI+FBS 111.2 (70.7% sensitivity, 80.6% specificity) was determined.

Conclusion

The early screening and high-quality prenatal care should be recommended upon the co-occurrence of high FBS (≥84.5 mg/dl) in the first-trimester of the pregnancy and the BMI (≥25.4 kg/m2) in pre-pregnancy period in women undergone ART. The combination of BMI and FBS is considered a better prediction value.

Is vaginal progesterone treatment associated with the development of gestational diabetes? A retrospective case-control study

PURPOSE

To determine the incidence of gestational diabetes mellitus (GDM) in pregnant women who received vaginal progesterone due to short cervical length or to prevent recurrent preterm birth.

METHODS

In this retrospective study, we included 190 women with singleton pregnancies at risk for preterm birth who received vaginal natural progesterone (200 mg daily between gestational weeks 16 + 0 and 36 + 0) for a minimum of 4 weeks and delivered > 28 weeks. The control group consisted of 242 age- and body mass index (BMI)-matched patients without progesterone administration. Data were acquired from a database containing prospectively collected information. Patients with pre-existing diabetes, and conception after in vitro fertilisation procedure were excluded.

RESULTS

The incidence of GDM did not differ significantly between the progesterone-treated and the control group (14.7% vs. 16.9%, respectively; p = 0.597). In a binary regression model, patients with higher pre-pregnancy BMI (OR 1.1; p = 0.006), and those with a family history of diabetes had a higher risk for GDM development (OR 1.8; p = 0.040), whereas vaginal progesterone treatment had no significant influence (p = 0.580).

CONCLUSION

The use of vaginal progesterone for the prevention of recurrent preterm delivery and in women with a short cervix does not seem to be associated with an increased risk of GDM.