scholarly journals Effect of Elevated Ketone Body on Maternal and Infant Outcome of Pregnant Women with Abnormal Glucose Metabolism During Pregnancy

2020 ◽  
Vol Volume 13 ◽  
pp. 4581-4588
Author(s):  
Meichen Qian ◽  
Na Wu ◽  
Ling Li ◽  
Wenshu Yu ◽  
Hong Ouyang ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Pregnant Women ◽  
Ketone Body ◽  
Abnormal Glucose Metabolism ◽  
Infant Outcome

scholarly journals Maternal Pre-Pregnancy Obesity Combined With Abnormal Glucose Metabolism Further Increases Adverse Pregnancy Outcomes in Chinese Pregnant Women

2022 ◽  
Vol 12 ◽  
Author(s):  
Mei-Fang Li ◽  
Jiang-Feng Ke ◽  
Li Ma ◽  
Jun-Wei Wang ◽  
Zhi-Hui Zhang ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Pregnant Women ◽  
Pregnancy Outcomes ◽  
Perinatal Outcomes ◽  
Adverse Pregnancy Outcomes ◽  
Control Group ◽  
Abnormal Glucose Metabolism ◽  
Induced Hypertension ◽  
Adverse Perinatal Outcomes ◽  
Adverse Pregnancy

AimsOur aim was to evaluate the separate and combined effects of maternal pre-pregnancy obesity and gestational abnormal glucose metabolism (GAGM) on adverse perinatal outcomes.MethodsA total of 2,796 Chinese pregnant women with singleton delivery were studied, including 257 women with pre-pregnancy obesity alone, 604 with GAGM alone, 190 with both two conditions, and 1,745 with neither pre-pregnancy obesity nor GAGM as control group. The prevalence and risks of adverse pregnancy outcomes were compared among the four groups.ResultsCompared with the normal group, pregnant women with maternal pre-pregnancy obesity alone, GAGM alone, and both two conditions faced significantly increased risks of pregnancy-induced hypertension (PIH) (odds ratio (OR) 4.045, [95% confidence interval (CI) 2.286–7.156]; 1.993 [1.171–3.393]; 8.495 [4.982–14.485]), preeclampsia (2.649 [1.224–5.735]; 2.129 [1.128–4.017]; 4.643 [2.217–9.727]), cesarean delivery (1.589 [1.212–2.083]; 1.328 [1.095–1.611]; 2.627 [1.908–3.617]), preterm delivery (1.899 [1.205–2.993]; 1.358 [0.937–1.968]; 2.301 [1.423–3.720]), macrosomia (2.449 [1.517–3.954]; 1.966 [1.356–2.851]; 4.576 [2.895–7.233]), and total adverse maternal outcomes (1.762 [1.331–2.332]; 1.365 [1.122–1.659]; 3.228 [2.272–4.587]) and neonatal outcomes (1.951 [1.361–2.798]; 1.547 [1.170–2.046]; 3.557 [2.471–5.122]). Most importantly, there were no obvious risk differences in adverse pregnancy outcomes between maternal pre-pregnancy obesity and GAGM group except PIH, but pregnant women with both obesity and GAGM exhibited dramatically higher risks of adverse pregnancy outcomes than those with each condition alone.ConclusionsMaternal pre-pregnancy obesity and GAGM were independently associated with increased risks of adverse pregnancy outcomes. The combination of pre-pregnancy obesity and GAGM further worsens adverse pregnancy outcomes compared with each condition alone.

scholarly journals A community-based survey for different abnormal glucose metabolism among pregnant women in a random household study (SAUDI-DM)

BMJ Open ◽  
2014 ◽  
Vol 4 (8) ◽  
pp. e005906-e005906 ◽  
Author(s):  
K. Al-Rubeaan ◽  
H. A. Al-Manaa ◽  
T. A. Khoja ◽  
A. M. Youssef ◽  
A. H. Al-Sharqawi ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Pregnant Women ◽  
Community Based ◽  
Abnormal Glucose Metabolism

scholarly journals Application of CEEMD noise reduction algorithm in ultrasound imaging in evaluating fetuses with abnormal glucose metabolism in late pregnancy

2021 ◽  
Vol 37 (6-WIT) ◽  
Author(s):  
Junfeng Huang ◽  
Cuiting Wang ◽  
Xianxia Li ◽  
Yuqin Jing
Keyword(s):  
Glucose Metabolism ◽  
Pregnant Women ◽  
Pregnancy Outcomes ◽  
Color Doppler ◽  
Good Prognosis ◽  
Adverse Outcomes ◽  
Family History Of Diabetes ◽  
Abnormal Glucose Metabolism ◽  
Prognosis Group ◽  
Good Prognosis Group

Objectives: To explore the predictive effect of abnormal glucose metabolism and fetal hemodynamic parameters on adverse pregnancy outcome. Methods: One hundred and nine pregnant women with abnormal glucose metabolism during pregnancy from June 2016 to October 2018 were selected and divided into poor prognosis group (34 cases) and good prognosis group (75 cases). The hemodynamic parameters of fetal cerebral artery (MCA), umbilical artery (UA) and uterine artery of pregnancy (UT-A), including peak systolic velocity (s / D), resistance index (RI) and plasticity index (PI), were measured by color Doppler ultrasound. The receiver operating characteristic (ROC) curve of adverse pregnancy outcomes was drawn and the best threshold index was determined. Results: MCA-PI poor prognosis group, MCA-RI, RI ratio (MCA/UA) are lower than the good prognosis group, Ut-A-PI is higher than the good prognosis group (P<0.05,). ROC curve analysis results show that when the MCA-PI 1.56, the sensitivity of the predicted adverse outcomes of pregnancy, the highest specificity<, was 91.18%, 80.00%, respectively. Logistic regression analysis of risk factors shows poor pregnancy outcomes include: pregnant women, older age, body mass index ≥24.0kg/m2 and a family history of diabetes. Protective factors include exercise during pregnancy, MCA-PI≥1.56, MCA-RI≥0.63 and RI The ratio (MCA/UA) ≥0.84. Conclusion: Color Doppler ultrasound measured MCA-PI<1.56 the most important indicators of poor pregnancy outcomes as abnormal glucose metabolism during pregnancy and predict the exact cutoff. Pregnant women, older age, body mass index ≥24.0kg/m2 and a family history of diabetes and abnormal glucose metabolism during pregnancy risk factors for adverse outcomes of pregnancy. doi: https://doi.org/10.12669/pjms.37.6-WIT.4844 How to cite this:Huang J, Wang C, Li X, Jing Y. Application of CEEMD noise reduction algorithm in ultrasound imaging in evaluating fetuses with abnormal glucose metabolism in late pregnancy. Pak J Med Sci. 2021;37(6):1590-1594. doi: https://doi.org/10.12669/pjms.37.6-WIT.4844 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum ◽  
Diagnostic Biomarkers ◽  
Serum Metabolites ◽  
Abnormal Glucose Metabolism ◽  
Metabolic Signatures

AbstractWe aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.

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