Background: The prevalence of gestational diabetes mellitus (GDM) has increased worldwide, with a subsequent increase in the associated adverse pregnancy outcomes.
Objectives: The objective of this study was to determine the prevalence of GDM and to compare the maternal and neonatal outcomes of women with GDM with nondiabetic women.
Materials And Methods: This is a retrospective cohort study investigating the maternal and the neonatal outcomes of women with GDM who delivered in King Khalid University Hospital as compared with the outcomes of nondiabetic women who delivered during the same period. The data were collected from the 1st of January to the 31st of December 2010 from the labor ward registry. The pregnancy outcomes of the women with GDM were compared with the outcomes of nondiabetic women who delivered during the same study period.
Results: Out of 3041 women who delivered during the study period, 569 (18.7%) had GDM and 2472 (81.3%) were not diabetic. Compared with the nondiabetic women, women with GDM were more likely to be delivered by emergency cesarean section (CS), odds ratio (OR) 1.30, 95% confidence intervals (CI) (1.02-1.66), or elective CS (OR 1.72, 95% CI 1.22-2.44, P<0.001). The neonates of the mothers with GDM were significantly heavier and more frequently macrosomic (OR 1.75, 95% CI 1.14-2.71, P<0.001). There was no significant difference between the two groups in the frequency of APGAR scores less than 7 in 5 min, preterm delivery at less than 37 weeks of gestation, or in the frequency of intrauterine fetal death.
Conclusion: The prevalence of GDM in King Khalid University Hospital is among the highest in the world. GDM is associated with an increased risk for CS delivery and macrosomia.
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http://dx.doi.org/10.1097/01.EPX.0000430392.57811.20 | DOI Listing |
Diabetes Metab Res Rev
January 2025
Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, Australia.
Aim: To synthesise the evidence from clinical trials and observational studies using omics techniques to investigate the impact of diet and lifestyle factors on metabolite profile in pregnancy, and in the prevention and management of gestational diabetes mellitus (GDM).
Materials And Methods: A systematic literature search was performed using PubMed, Ovid, CINAHL, and Web of Science databases in October 2023 and updated in September 2024. Inclusion criteria were randomised controlled trials (RCT) or non-RCTs in pregnant women with or without GDM, that measured diet and lifestyle factors, and which applied post-transcriptional omics approaches.
Gene
January 2025
Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, China. Electronic address:
Ann Med
December 2025
Department of Laboratory Medicine, The Women's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Objective: The process of glycolysis from blood collection to centrifugation impacts the diagnosis of gestational diabetes mellitus (GDM). However, the specific characteristics of the working environment in China and its influence on GDM diagnosis still need to be clarified.
Methods: Firstly, 15 pregnant women were recruited, and six specimens were collected from each in a fasting state.
J Diabetes Investig
January 2025
Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Aims: This study investigated the association between maternal age and early and late gestational diabetes mellitus (GDM).
Methods: In total, 72,270 pregnant women were included in this prospective birth cohort study. Associations between maternal age and early GDM (diagnosed at <24 gestational weeks) and late GDM (diagnosed at ≥24 gestational weeks) were evaluated using a multinomial logistic regression model with possible confounding factors.
Nutrients
January 2025
3rd Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
Maternal amino acid intake and its biological value may influence glucose regulation and insulin sensitivity, impacting the risk of developing gestational diabetes mellitus (GDM). This study aimed to evaluate the association between amino acid intake from maternal diet before and during pregnancy and the risk of GDM. This study is part of the ongoing BORN2020 epidemiological Greek cohort.
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