期刊
BIOMEDICINES
卷 11, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/biomedicines11041149
关键词
pregnancy; preterm birth; screening tests; plasma transcriptome
The prediction of spontaneous preterm birth (sPTB) in the first trimester has been difficult. Currently, screening relies heavily on obstetric history, but this is not applicable to nullipara who are at a higher risk for sPTB <= 32 weeks. A panel of maternal plasma cell-free RNAs has been tested for prediction at 16-20 weeks, but its applicability in the first trimester for nullipara is still uncertain due to a small sample size in this study.
The first-trimester prediction of spontaneous preterm birth (sPTB) has been elusive, and current screening is heavily dependent on obstetric history. However, nullipara lack a relevant history and are at higher risk for spontaneous (s)PTB <= 32 weeks compared to multipara. No available objective first-trimester screening test has proven a fair predictor of sPTB <= 32 weeks. We questioned whether a panel of maternal plasma cell-free (PCF) RNAs (PSME2, NAMPT, APOA1, APOA4, and Hsa-Let-7g) previously validated at 16-20 weeks for the prediction of sPTB <= 32 weeks might be useful in first-trimester nullipara. Sixty (60) nulliparous women (40 with sPTB <= 32 weeks) who were free of comorbidities were randomly selected from the King's College Fetal Medicine Research Institute biobank. Total PCF RNA was extracted and the expression of panel RNAs was quantitated by qRT-PCR. The analysis employed, primarily, multiple regression with the main outcome being the prediction of subsequent sPTB <= 32 weeks. The test performance was judged by the area under the curve (AUC) using a single threshold cut point with observed detection rates (DRs) at three fixed false positive rates (FPR). The mean gestation was 12.9 +/- 0.5 weeks (range 12.0-14.1 weeks). Two RNAs were differentially expressed in women destined for sPTB <= 32 weeks: APOA1 (p < 0.001) and PSME2 (p = 0.05). APOA1 testing at 11-14 weeks predicted sPTB <= 32 weeks with fair to good accuracy. The best predictive model generated an AUC of 0.79 (95% CI 0.66-0.91) with observed DRs of 41%, 61%, and 79% for FPRs of 10%, 20%, and 30%, including crown-rump length, maternal weight, race, tobacco use, and age.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据