Aims: To explore associations between adverse pregnancy outcomes and risk of postpartum diabetes and prediabetes among Chinese women with gestational diabetes mellitus (GDM).
Methods: A total of 507 women with GDM who participated in a randomized controlled trial were successfully followed up at a median of 9.1 (interquartile range: 7.7-11.3) weeks after delivery and underwent a 75 g 2-h oral glucose tolerance test. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group's criteria. Postpartum diabetes and prediabetes were defined by the World Health Organization's. Generalized logit model was used to obtain odds ratios (OR) and 95% confidence interval (CI) of adverse pregnancy outcomes for postpartum diabetes, prediabetes and abnormal glucose regulation (AGR).
Results: Of 507 women with GDM, 3.7% (19) women developed postpartum diabetes, 35.1% (178) women developed postpartum prediabetes. Preterm birth was associated with increased risk of postpartum prediabetes and AGR (adjusted OR: 3.24, 95%CI: 1.48-7.07 & 3.16, 1.46-6.85). Low birth weight was associated with the risk of postpartum prediabetes, diabetes and AGR (adjusted OR: 2.78, 95%CI: 1.13-6.86; 5.21, 1.13-24.02 & 2.99, 1.24-7.21).
Conclusions: Preterm birth and low birth weight were predictive of postpartum prediabetes, diabetes or AGR in Chinese women with GDM.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.diabres.2022.109817 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association between the early or late onset of gestational diabetes mellitus with neonatal adverse outcomes: a retrospective cohort study.
Clin Diabetes Endocrinol
December 2024
Postgraduate Program on Tocogynecology, Botucatu Medical School, São Paulo State University (Unesp), Botucatu, Brazil.
Background: The literature has been evolving to standardize gestational diabetes mellitus (GDM) diagnosis and terminology. The significance of timing in diagnosing hyperglycemia during pregnancy is underlined by evidence that women diagnosed at 24 weeks of gestation or earlier are at a higher risk of developing postpartum prediabetes, but its association with adverse outcomes for the newborn is controversial. We aimed to investigate the association between early-onset GDM and adverse outcomes in newborns and neonates, comparing it with the late-onset GDM model.
View Article and Find Full Text PDFPostnatal glycaemic outcomes in women with high-risk gestational diabetes: Identifying key predictors for early intervention.
Diabetes Obes Metab
February 2025
Division of Endocrinology, Department of Medicine, National University Health Systems, National University Hospital, Singapore.
Aims: Women with gestational diabetes (GDM) have increased lifetime risk of developing diabetes. We aim to determine the factors contributing to poor adherence of the postpartum oral glucose tolerance test (OGTT) and identify key predictors to postpartum dysglycaemia in our Asian cohort.
Methods: We conducted a retrospective cohort study of women with high-risk GDM (n = 561).
Pancreatic volume, fat content and T1 relaxation time using magnetic resonance imaging in patients with prior gestational diabetes mellitus.
Abdom Radiol (NY)
November 2024
All India Institute of Medical Sciences, New Delhi, New delhi, India.
Purpose: To compare the volume, fat content, and T1 relaxation time of the pancreas in participants with and without prior gestational diabetes mellitus (GDM).
Methods: In this prospective case-control study, we enrolled 29 women with prior GDM, and divided them into three groups (normoglycemic, prediabetic, and diabetic) based on their glycaemic status in the postpartum period; and a group of 13 participants as controls who had normoglycemia during pregnancy. Participants underwent MR examination including an axial multi-echo DIXON-based sequence and an axial-oblique T1 mapping sequence.
Longitudinal clinical and proteomic diabetes signatures in post-gestational diabetes women.
JCI Insight
November 2024
Institute of Neuroscience and Physiology, Department of Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
We characterized the longitudinal serum protein signatures of women 6 and 10 years after gestational diabetes mellitus (GDM) to identify factors associated with the development of type 2 diabetes mellitus (T2D) and prediabetes in this at-risk post-GDM population, aiming to discover potential biomarkers for early diagnosis and prevention of T2D. Our study identified 75 T2D-associated serum proteins and 23 prediabetes-associated proteins, some of which were validated in an independent T2D cohort. Machine learning (ML) performed on the longitudinal proteomics highlighted protein signatures associated with progression to post-GDM diabetes.
View Article and Find Full Text PDFThe metabolic and circadian signatures of gestational diabetes in the postpartum period characterised using multiple wearable devices.
Diabetologia
November 2024
Service of Endocrinology, Diabetology, Nutrition and Therapeutic Education, Geneva University Hospitals, Geneva, Switzerland.
Aims/hypothesis: Gestational diabetes mellitus (GDM) affects 14% of all pregnancies worldwide and is associated with cardiometabolic risk. We aimed to exploit high-resolution wearable device time-series data to create a fine-grained physiological characterisation of the postpartum GDM state in free-living conditions, including clinical variables, daily glucose dynamics, food and drink consumption, physical activity, sleep patterns and heart rate.
Methods: In a prospective observational study, we employed continuous glucose monitors (CGMs), a smartphone food diary, triaxial accelerometers and heart rate and heart rate variability monitors over a 2 week period to compare women who had GDM in the previous pregnancy (GDM group) and women who had a pregnancy with normal glucose metabolism (non-GDM group) at 1-2 months after delivery (baseline) and 6 months later (follow-up).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!