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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Zheng, Tao Ye, Weiping Wang, Xipeng Li, Xiaoyong Zhang, Jun Little, Julian Zhou, Lixia Zhang, Lin |
| Abstract | Background Gestational diabetes mellitus (GDM) is associated with adverse perinatal outcomes. Screening for GDM and applying adequate interventions may reduce the risk of adverse outcomes. However, the diagnosis of GDM depends largely on tests performed in late second trimester. The aim of the present study was to bulid a simple model to predict GDM in early pregnancy in Chinese women using biochemical markers and machine learning algorithm. Methods Data on a total of 4771 pregnant women in early gestation were used to fit the GDM risk-prediction model. Predictive maternal factors were selected through Bayesian adaptive sampling. Selected maternal factors were incorporated into a multivariate Bayesian logistic regression using Markov Chain Monte Carlo simulation. The area under receiver operating characteristic curve (AUC) was used to assess discrimination. Results The prevalence of GDM was 12.8%. From 8th to 20th week of gestation fasting plasma glucose (FPG) levels decreased slightly and triglyceride (TG) levels increased slightly. These levels were correlated with those of other lipid metabolites. The risk of GDM could be predicted with maternal age, prepregnancy body mass index (BMI), FPG and TG with a predictive accuracy of 0.64 and an AUC of 0.766 (95% CI 0.731, 0.801). Conclusions This GDM prediction model is simple and potentially applicable in Chinese women. Further validation is necessary. |
| Related Links | https://bmcpregnancychildbirth.biomedcentral.com/counter/pdf/10.1186/s12884-019-2374-8.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712393 |
| DOI | 10.1186/s12884-019-2374-8 |
| Journal | BMC Pregnancy and Childbirth |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2019-07-19 |
| Access Restriction | Open |
| Subject Keyword | Reproductive Medicine Maternal and Child Health Gynecology Gestational diabetes mellitus Risk prediction Maternal factors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Obstetrics and Gynecology |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 3.4/2023 |
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