scholarly journals The association of first trimester high blood pressure and risk of gestational diabetes mellitus

2012 ◽  
Vol 18 (1) ◽  
pp. 67-72
Author(s):  
P. V. Popova ◽  
A. S. Gerasimov ◽  
E. N. Kravchuk ◽  
E. S. Shelepova ◽  
E. M. Ryazantseva ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Fold Increase ◽  
First Trimester ◽  
Elevated Blood Pressure ◽  
Elevated Blood ◽  
Increased Risk ◽  
First Trimester Of Pregnancy

Objective. To determine the relationship between blood pressure measured during the first trimester of pregnancy and the risk of the development of gestational diabetes mellitus. Design and methods. A total of 209 pregnant women were screened for gestational diabetes mellitus between weeks 24 and 28 of gestation, as defined by WHO criteria. Blood pressure, weight and waist circumference data were obtained by review of the medical records. Results. An elevated blood pressure at first trimester of pregnancy was associated with a six-fold increase in the risk of the development of gestational diabetes mellitus (OR = 5.8, 95 % CI 1.9-17.5, p = 0.001) compared with non-hypertensive women. Arterial hypertension (including controlled forms) in the first trimester of pregnancy was followed by a three-fold (OR = 3.04, 95 % CI 1.5-6.3) increase in the risk of gestational diabetes mellitus compared with non-hypertensive women (p = 0.005). Conclusion. Obtained data indicate that women with elevated blood pressure in the first trimester of pregnancy have an increased risk of the development of gestational diabetes mellitus.

scholarly journals Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning

2020 ◽  
Author(s):  
Yan-Ting Wu ◽  
Chen-Jie Zhang ◽  
Ben Willem Mol ◽  
Andrew Kawai ◽  
Cheng Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Machine Learning ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Chinese Population ◽  
Feature Selection Method ◽  
Area Under The Curve ◽  
First Trimester ◽  
Record System ◽  
Increased Risk

Abstract Context Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking. Objectives Establishing effective models to predict early GDM. Setting Pregnancy data for 73 variables during the first trimester were extracted from the electronic medical record system. Main measures Based on a machine learning (ML) driven feature selection method, 17 variables were selected for early GDM prediction. In order to facilitate clinical application, 7 variables were selected from the 17-variable panel. Advanced ML approaches were then employed using the 7-variable dataset and the 73-variable dataset to build models predicting early GDM for different situations respectively. Results 16,819 and 14,992 cases were included in the training and testing sets, respectively. Using 73 variables, the deep neural network model achieved high discriminative power, with area under the curve (AUC) values of 0.80. The 7-variable logistic regression (LR) model also achieved effective discriminate power (AUC = 0.77). Low BMI (≤ 17) was related to an increased risk of GDM, compared to a BMI in the range of 17 to 18 (minimum risk interval) (11.8% vs 8.7%, P = 0.0935). TT3 and TT4 were superior to FT3 and FT4 in predicting GDM. Lipoprotein (a) was demonstrated a promising predictive value (AUC = 0.66). Conclusions We employed ML models that achieved high accuracy in predicting GDM in early pregnancy. A clinically cost-effective 7-variable LR model was simultaneously developed. The relationship of GDM with thyroxine and BMI was investigated in the Chinese population.

scholarly journals Association of Complete Blood Count Parameters with Gestational Diabetes Mellitus

2017 ◽  
pp. 1 ◽  
Author(s):  
Zehra Vural Yılmaz ◽  
Elif Yılmaz ◽  
Bilal İçer ◽  
Tuncay Küçüközkan
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Blood Count ◽  
Complete Blood Count ◽  
First Trimester ◽  
Red Cell ◽  
Platelet Volume ◽  
Distribution Width ◽  
First Trimester Of Pregnancy

<p><strong>Objective:</strong> The aim of this study is to evaluate the relationship between hematological changes in early pregnancy using complete blood count parameters and gestational diabetes mellitus.<br /><strong>Study Design:</strong> One hundred pregnant with gestational diabetes mellitus and one hundred healthy pregnant were included in the study. Blood samples for routine complete blood count parameters in first trimester of pregnancy were analyzed. <br /><strong>Results:</strong> In the gestational diabetes mellitus group white blood cell, platelet count, neutrophil and lymphocyte count, mean platelet volume, red cell distribution width were significantly higher than control group. However, there was no significant difference between groups with regard to neutrophil to lymphocyte ratio and platelet to lymphocyte ratio levels. In binary logistic regression analysis; first trimester mean platelet volume and red cell distribution width values were found to be independently associated with diagnosis of gestational diabetes mellitus. <br /><strong>Conclusion:</strong> This study demonstrates that hematological parameters in first trimester of pregnancy are closely associated with gestational diabetes mellitus. The parameters that are routinely and automatically calculated in complete blood count; may be used to predict gestational diabetes mellitus.</p>

scholarly journals First Trimester Metabolites Predict Gestational Diabetes Mellitus Diagnosis: A Case: Control Study (FS03-04-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Manuel Ramos ◽  
Anna Lamb ◽  
Noemi Alarcon ◽  
Adilene Quintana-Diaz ◽  
Rob Fanter ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Dietary Intervention ◽  
Intervention Group ◽  
First Trimester ◽  
Case Control ◽  
Plasma Metabolites ◽  
Blood Draw ◽  
Increased Risk

Abstract Objectives Gestational Diabetes Mellitus (GDM) has an overall prevalence estimated as high as 13% of overweight/obese (OW/OB) pregnant women. Since the occurrence of GDM can have a combination of adverse perinatal outcomes and long-term increased risk of health issues in the future for both the mother and child, it is important that the mechanisms involved in this disease are better understood so that better prevention strategies can be devised. We sought to identify early and late pregnancy metabolites that discriminated women who developed vs. did not develop GDM to provide insight into its etiology and help improve treatments. Methods Participants were 26 OW/OB women enrolled in the Healthy Beginnings Trial and completed blood draws at 13 weeks, 26 weeks, and 35 weeks gestation. Participants from the control and dietary intervention group who developed GDM (N = 12) were matched on age and study entry BMI with those who did not develop GDM (N = 14). Plasma samples were analyzed by ultra-high-performance liquid chromatography-hybrid triple‐quadrupole linear ion trap mass spectrometry (UPLC-QTRAP) using two targeted metabolomics assays for primary metabolomics and aminomics. Results A total of 142 metabolites were identified. Most metabolite differences were observed during the first trimester blood draw, prior to GDM diagnosis. At first trimester, metabolites related to energy metabolism that were altered included lower levels of alpha-ketoglutarate and glycerol-3-phosphate, as well as the medium-chain acylcarnitines’ lauroyl-carnitine, dodecenoyl-carnitine, and octanoyl-carnitine (P < 0.05). Interestingly, the neurotransmitters serotonin and glutamate were elevated in subjects who later developed GDM (P < 0.01). In regards to the observed elevated creatine, the lower concentrations of methionine and glycine may suggest utilization of these amino acids for its production (P < 0.03). Lastly, the gut microbiota-derived indole-3-propionate was higher in GDM cases (P < 0.05). In the third trimester of the GDM group, only levels of 4-pyridoxate (vitamin B-6) were lowered (P < 0.05). Conclusions Metabolic changes associated with the numerous plasma metabolites that were different between GDM case-control subjects during first trimester may predict the development of this condition. Funding Sources NIH, ARI.

Criteria for Screening and Diagnosis of Gestational Diabetes Mellitus in the First Trimester of Pregnancy

2011 ◽  
Vol 30 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Walter Plasencia ◽  
Raquel Garcia ◽  
Susana Pereira ◽  
Ranjit Akolekar ◽  
Kypros H. Nicolaides
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
First Trimester ◽  
First Trimester Of Pregnancy ◽  
Screening And Diagnosis

scholarly journals Characteristics of the gut microbiome in women with gestational diabetes mellitus: A systematic review

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262618
Author(s):  
Louise Søndergaard Rold ◽  
Caspar Bundgaard-Nielsen ◽  
Julie Niemann Holm-Jacobsen ◽  
Per Glud Ovesen ◽  
Peter Leutscher ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Gestational Diabetes ◽  
Gut Microbiota ◽  
Gestational Diabetes Mellitus ◽  
First Trimester ◽  
Multiple Time ◽  
Increased Risk ◽  
Multiple Time Points ◽  
Gut Microbiota Dysbiosis

Background The incidence of women developing gestational diabetes mellitus (GDM) is increasing, which is associated with an increased risk of type 2 diabetes mellitus (T2DM) for both mother and child. Gut microbiota dysbiosis may contribute to the pathogenesis of both GDM and the accompanying risk of T2DM. Thus, a better understanding of the microbial communities associated with GDM could offer a potential target for intervention and treatment in the future. Therefore, we performed a systematic review to investigate if the GDM women have a distinct gut microbiota composition compared to non-GDM women. Methods We identified 21 studies in a systematic literature search of Embase and PubMed up to February 24, 2021. Data on demographics, methodology and identified microbial metrics were extracted. The quality of each study was assessed according to the Newcastle-Ottawa Scale. Results Sixteen of the studies did find a GDM-associated gut microbiota, although no consistency could be seen. Only Collinsella and Blautia showed a tendency to be increased in GDM women, whereas the remaining genera were significantly different in opposing directions. Conclusion Although most of the studies found an association between GDM and gut microbiota dysbiosis, no overall GDM-specific gut microbiota could be identified. All studies in the second trimester found a difference between GDM and non-GDM women, indicating that dysbiosis is present at the time of diagnosis. Nevertheless, it is still unclear when the dysbiosis develops, as no consensus could be seen between the studies investigating the gut microbiota in the first trimester of pregnancy. However, studies varied widely concerning methodology and study design, which might explain the highly heterogeneous gut microbiota compositions between studies. Therefore, future studies need to include multiple time points and consider possible confounding factors such as ethnicity, pre-pregnancy body mass index, and GDM treatment.

scholarly journals Vitamin D status and association with gestational diabetes mellitus in a pregnant cohort in Iceland

2021 ◽  
Author(s):  
Kristin S. Magnusdottir ◽  
Ellen A. Tryggvadottir ◽  
Ola K. Magnusdottir ◽  
Laufey Hrolfsdottir ◽  
Thorhallur I. Halldorsson ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
First Trimester ◽  
Vitamin D Status ◽  
Increased Risk ◽  
Vitamin D Levels ◽  
25Ohd Concentration

Background: Vitamin D deficiency has been associated with an increased risk of gestational diabetes mellitus (GDM), one of the most common pregnancy complications. The vitamin D status has never previously been studied in pregnant women in Iceland. Objective: The aim of this research study was to evaluate the vitamin D status of an Icelandic cohort of pregnant women and the association between the vitamin D status and the GDM incidence. Design: Subjects included pregnant women (n = 938) who attended their first ultrasound appointment, during gestational weeks 11–14, between October 2017 and March 2018. The use of supplements containing vitamin D over the previous 3 months, height, pre-pregnancy weight, and social status were assessed using a questionnaire, and blood samples were drawn for analyzing the serum 25‑hydroxyvitamin D (25OHD) concentration. Information regarding the incidence of GDM later in pregnancy was collected from medical records. Results: The mean ± standard deviation of the serum 25OHD (S-25OHD) concentration in this cohort was 63±24 nmol/L. The proportion of women with an S-25OHD concentration of ≥ 50 nmol/L (which is considered adequate) was 70%, whereas 25% had concentrations between 30 and 49.9 nmol/L (insufficient) and 5% had concentrations < 30 nmol/L (deficient). The majority of women (n = 766, 82%) used supplements containing vitamin D on a daily basis. A gradual decrease in the proportion of women diagnosed with GDM was reported with increasing S-25OHD concentrations, going from 17.8% in the group with S-25OHD concentrations < 30 nmol/L to 12.8% in the group with S-25OHD concentrations ≥75 nmol/L; however, the association was not significant (P for trend = 0.11). Conclusion: Approximately one-third of this cohort had S-25OHD concentrations below adequate levels (< 50 nmol/L) during the first trimester of pregnancy, which may suggest that necessary action must be taken to increase their vitamin D levels. No clear association was observed between the vitamin D status and GDM in this study.

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