Associations between maternal glycemic level and lipid profile and adverse pregnancy outcomes in women with type 2 diabetes mellitus: a retrospective study from China

2型糖尿病孕妇血糖水平和血脂谱与不良妊娠结局的相关性:一项来自中国的回顾性研究

阅读:1

Abstract

PURPOSE: To investigate the associations between maternal glucose and lipid metabolism and adverse pregnancy outcomes in women with type 2 diabetes mellitus (T2DM). METHODS: A retrospective cohort of pregnant women with T2DM who delivered at Peking University First Hospital was included. Univariate and multivariate logistic regression were used to identify risk factors. ROC curves were applied to determine optimal cut-off points for predicting adverse pregnancy outcomes. RESULTS: A total of 398 pairs of pregnant women and newborns from 2019 to 2023 were included. The key complications included large-for-gestational-age (LGA, 21.6%), preeclampsia (PE, 14.3%), preterm birth (14.3%) and birth defects (11.6%). The achievement rates for both glycated hemoglobin A1c (HbA1c) and lipid levels in early pregnancy were approximately 50%. HbA1c in the third trimester was significantly associated with increased birth weight (for LGA, aOR = 3.819, 95% CI [1.534-9.509]). Elevated triglyceride (TG) in early pregnancy were critical risk factors for LGA, PE, and preterm birth (aOR = 2.627, 2.478, 2.233; all p < 0.05). The optimal cut-off point for third-trimester HbA1c predicting LGA was ≤5.95%. The optimal cut-off points for first-trimester TG predicting LGA, PE, and preterm birth were separately ≤1.51, ≤1.67, and ≤1.46 mmol/L. CONCLUSIONS: In Chinese pregnant women with T2DM, elevated plasma glucose and lipid levels at different pregnancy stages were independently linked to adverse outcomes, especially third-trimester HbA1c and first-trimester TG. TG level in early pregnancy lower than currently recommended may be beneficial to improve adverse outcomes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。