five

Could Aspirin Treatment Modify the Assessment of the Uterine Arteries?

收藏
DataCite Commons2022-06-29 更新2024-07-29 收录
下载链接:
https://scielo.figshare.com/articles/dataset/Could_Aspirin_Treatment_Modify_the_Assessment_of_the_Uterine_Arteries_/20178680/1
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract Objective To analyze whether acetylsalicylic (ASA) intake modifies the mean uterine arteries pulsatility index (UtA-PI) at the 2nd or 3rd trimester in a cohort of pregnant women with abnormal mean UtA-PI at between 11 and 14 weeks of gestation. Methods This is a retrospective cohort study. Singleton pregnancies with abnormal mean UtA-PI at between 11 and 14 weeks of gestation were studied. The participants were divided into 3 groups: 1) If the participant did not take ASA during pregnancy; 2) If the participant took ASA before 14 weeks of gestation; and 3) If the participant took ASA after 14 weeks of gestation. The mean UtA-PI was evaluated at the 2nd and 3rd trimesters, and it was considered to improve when it decreased below the 95th percentile. The prevalence ratio (PR) and the number needed to treat (NNT) werecalculated. Results A total of 72 participants with a mean UtA-PI>95th percentile at the 1st trimester of gestation were evaluated. Out of the 18 participants who took ASA, 8 participants started it before 14 weeks of gestation and 10 after. A total of 33.3% of these participants had improved the mean UtA-PI at the 2nd and 3rd trimesters of gestation, although it was not statistically significant (p=0.154). The prevalence ratio was 0.95 (95% confidence interval [CI]: 0.31-1.89), but between the 1st and 2nd trimesters of gestation, the PR was 0.92 (95%CI: 0.21-0.99) and it was statistically significant. Conclusion The present work demonstrates a modification of the mean UtA-PI in participants who took ASA compared with those who did not. It is important to check if ASA can modify the normal limits of uterine arteries because this could have an impact on surveillance.
提供机构:
SciELO journals
创建时间:
2022-06-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作