1011: What is the optimal maternal Vitamin D level for the prediction of adverse maternal outcomes?

AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY(2019)

引用 0|浏览5
暂无评分
摘要
To determine the optimal Vitamin D (25(OH)D) cutoff to predict adverse maternal outcome. A cutoff for the optimal 25(OH)D level for the prediction of adverse maternal outcome was derived from data collected from a trial on Vitamin D3 use at a university hospital from October 2016 and May 2018. Women not utilizing Vitamin D3 in the pregnancy were included in the analysis. Per the trial, women with an intrauterine pregnancy, between 12-16 weeks gestation were included. Women taking Vitamin D3 supplements prior to enrollment, diagnosed with a malabsorption disorder, or carrying a fetus with a known anomaly were excluded. Participants were routinely assessed for medication compliance. Maternal demographics, baseline Vitamin D status, and delivery outcomes were collected from the electronic medical record. Adverse maternal outcome was defined as the presence of any of the following: hospital stay > 4 days, hypertensive disorder of pregnancy, chorioamnionitis, endometritis or placental abruption. Descriptive analyses were performed on baseline characteristics. The optimal Vitamin 25(OH)D cutoff was derived from a ROC curve. A total of 107 women were included in the analysis. Based on available data, the incidence of adverse maternal outcome was 19.4% (20/103) among participants. Women were approximately 30 years old, primarily Caucasian, parous, and overweight. (Table 1) The optimal cutoff for the maternal serum Vitamin D level in predicting adverse neonatal outcomes was 16 ng/mL (sensitivity 80%, specificity of 40%; AUC 0.661; 95% CI 0.531-0.790; p=0.03). To predict adverse maternal outcome, the optimal cutoff for maternal serum Vitamin 25(OH)D level is 16 ng/mL. Preconception optimization of Vitamin D status to this value should be considered.View Large Image Figure ViewerDownload Hi-res image Download (PPT)
更多
查看译文
关键词
adverse maternal outcomes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要