Academic Journal
Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study
| العنوان: | Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study |
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| المؤلفون: | Guo, Yufeng, Lu, Junwen, Bahani, Mailiman, Ding, Guifeng, Wang, Lei, Zhang, Yuxia, Zhang, Huanmei, Liu, Chengyao, Zhou, Lijun, Liu, Xiaolan, Li, Fangshen, Wang, Xiaoli, Ding, Hong |
| المصدر: | Lipids in Health and Disease ; volume 23, issue 1 ; ISSN 1476-511X |
| بيانات النشر: | Springer Science and Business Media LLC |
| سنة النشر: | 2024 |
| الوصف: | Objective This study aimed to investigate the association between the triglyceride-glucose (TyG) index in early pregnancy and the development of gestational diabetes mellitus (GDM) in the second trimester. The primary objectives were to evaluate the predictive potential of the TyG index for GDM, determine the optimal threshold value of the TyG index for GDM assessment, and compare the predictive performance of the TyG index alone versus its combination with maternal age and pre-pregnancy body mass index on GDM. Moreover, the study explored the association between the TyG index in early pregnancy and the risk of other pregnancy-related complications (PRCs), such as placental abruption and gestational hypertension. Patients and methods This prospective cohort study recruited 1,624 pregnant women who underwent early pregnancy antenatal counseling and comprehensive assessments with continuous monitoring until delivery. To calculate the TyG index, health indicators, including maternal triglycerides and fasting plasma glucose, were measured in early pregnancy (< 14 weeks of gestation). The predictive power of the TyG index for evaluating GDM in Chinese pregnant women was determined using multifactorial logistic regression to derive the odds ratios and 95% confidence interval (CI). Subgroup analyses were conducted, and the efficacy of the TyG index in predicting PRCs was assessed via receiver operating characteristic (ROC) curve analysis and restricted cubic spline, with the optimal cutoff value calculated. Results Logistic regression analyses revealed a 2.10-fold increase in the GDM risk for every 1-unit increase in the TyG index, after adjusting for covariates. The highest GDM risk was observed in the group with the highest TyG index compared with the lowest quintile group (odds ratios: 3.25; 95% CI: 2.23–4.75). Subgroup analyses indicated that exceeding the recommended range of gestational weight gain and an increased GDM risk were significantly associated ( P = 0.001). Regarding predictive performance, ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1186/s12944-024-02076-2 |
| DOI: | 10.1186/s12944-024-02076-2.pdf |
| DOI: | 10.1186/s12944-024-02076-2/fulltext.html |
| الاتاحة: | http://dx.doi.org/10.1186/s12944-024-02076-2 https://link.springer.com/content/pdf/10.1186/s12944-024-02076-2.pdf https://link.springer.com/article/10.1186/s12944-024-02076-2/fulltext.html |
| Rights: | https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0 |
| رقم الانضمام: | edsbas.FD81AD17 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1186/s12944-024-02076-2 |
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