Role of Uterocervical Angle, Cervical Length, and Cervicovaginal Fetal Fibronectin in the Prediction of Preterm Birth

Author:

Etman Mohamed K.,Abd El-Hafeez Ghada M.,Bakry Mohamed S.,El-Baradie Sahar MY.

Abstract

BACKGROUND:Cervical length measurement and fetal fibronectin (FFN) are widely used to estimate the risk of preterm birth. Another potential predictor of preterm birth is the uterocervical angle, and this additional measurement may improve the risk assessment. This study aimed to predict the onset of labor in women who present with preterm labor through cervical length, uterocervical angle, and FFN.METHODS:A prospective cohort study was carried out on 90 symptomatic women at high risk of preterm labor attending the Gynecology and Obstetrics department at Fayoum University Hospital. FFN in the cervicovaginal fluid was assessed by ELISA technique. The uterocervical angle and cervical length were measured by transvaginal ultrasound. Maternal history and pregnancy data were recorded. Delivery data were subsequently collected.RESULTS:The average age was 21.79 ± 3.3 years, and the average body mass index (BMI) was 24.6 ± 5.8 kg/m2. The mean gestational age (GA) was 32.83 ± 2.3 weeks. Twelve women in our cohort reported previous preterm labor. The cervical length and FFN showed better sensitivity and specificity compared with the uterocervical angle in predicting preterm birth. Logistic regression analysis demonstrated that preterm birth depended only on the cervical length and quantitative FFN.CONCLUSION:The combination of FFN and cervical length could improve preterm birth prediction accuracy.

Publisher

Springer Publishing Company

Subject

Maternity and Midwifery,Obstetrics and Gynecology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3